WEBVTT

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Did you know that African -Americans are more

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than three times as likely as their white counterparts

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to develop end -stage kidney disease? Now, just

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think about that for a moment. How might a, well,

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a deeply ingrained health disparity like that,

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something seemingly unrelated to joints, how

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might that unexpectedly impact a patient's ability

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to access life -changing surgery like, say, a

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knee or hip replacement? Welcome back to The

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Deep Dive. This is the show where we take a stack

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of complex source material articles, research

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papers, maybe even your own notes, and we really

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plunge into it. We try to extract the most important

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nuggets of knowledge, the key insights. Our aim

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is to give you that vital shortcut to being genuinely

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well -informed, often with surprising facts,

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hopefully, and enough context to help you see

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the bigger picture. Today, we're embarking on

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a deep dive into something absolutely critical

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in orthopedic surgery, but honestly, with implications

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far beyond. Reoperative Optimization for Total

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Joint Orthoplasty or TJA. We're talking hip and

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knee replacements, but crucially we're approaching

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this through a really specific and vital lens,

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focusing squarely on health disparities. We'll

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explore how existing health conditions, behavioral

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factors, even social determinants that, well,

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might seem disconnected from the operating theater

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floor, how they can significantly impact whether

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someone gets the surgery they need to restore

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their mobility, their quality of life, and, importantly,

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how well they recover afterwards. Our sources

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for this deep dive are a series of powerful articles

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from the Movement is Life series. They're published

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in the JOS Journal. That's the Journal of the

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American Academy of Orthopedic Surgeons. It's

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a fantastic collection, really looking specifically

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at optimizing patient access to TJA by addressing

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these very disparities. And I'm joined today

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by an expert who brings a wealth of knowledge

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and experience in synthesizing these complex

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health issues, understanding the broader societal

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implications. Thank you for guiding us through

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this material. It's a real pleasure to be here.

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These articles, they really do underscore a vital

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conversation that's happening right now in orthopedics.

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And it's one that echoes across healthcare disciplines,

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actually. They make a compelling case, I think,

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for viewing clinical readiness, not just through

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a narrow medical lens, but within the full context

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of a patient's life. That includes the systemic

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factors that really shape their health journey.

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I agree completely. This isn't just about the

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joint anymore, is it? It's about the whole person,

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the world they live in. So let's jump straight

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into it, a rapid -fire setup just to frame our

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discussion. First question, what exactly is total

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joint arthroplasty? And from the perspective

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of these sources, why is a patient's preoperative

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health status so particularly critical for its

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success? All right, so total joint arthroplasty,

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TJA, it's the surgical procedure to replace a

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damaged hip or knee joint, usually due to severe

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osteoarthritis, but other conditions too. It's

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widely recognized as a highly effective intervention,

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relieves pain, restores function. It can dramatically

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improve a patient's quality of life. Now, the

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sources we're looking at today make it exceptionally

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clear that preoperative optimization is preparing

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the patient to be in the best possible health

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before they have this significant surgery. It's

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not merely a suggestion. It's considered a cornerstone

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of best practice. The primary aim, well, is to

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minimize the risk of potential complications

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and maximize the likelihood of a successful outcome.

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And the list of potential complications they

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detail is quite sobering, actually. Major cardiovascular

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events like myocardial infarction, stroke, serious

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infections, including the dreaded periprosthetic

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joint infection, PGI. Then there are venous thromboembolism,

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blood clots. unplanned hospital readmissions,

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and tragically, even mortality. So the healthier

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and more stable a patient's medical profile is

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going into surgery, the more robustly they can

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navigate the procedure and the recovery. It significantly

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lowers their risk of these serious issues. OK,

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right. So pre -op health isn't just a nice to

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have. It's absolutely foundational for safety

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and success. Now these sources, they repeatedly

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highlight that certain health conditions, risk

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factors, many needing this optimization, are

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disproportionately prevalent in what they call

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underserved communities or specific demographic

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groups. Can you give us a sense of the scale

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of these disparities as reported within these

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articles? The scale is, well, it's Truly eye

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-opening. And it really underscores the urgent

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need these articles are trying to address. Across

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different health domains, we see significant

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differences. For instance, the cardiovascular

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article points out that while nearly half of

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U .S. adults have hypertension, it's highest

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among African Americans. When we look at chronic

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kidney disease, CKD, that affects about 15 %

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of the general adult population. But it's notably

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higher in African Americans, around 16%, and

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Hispanics, 14%. And as you mentioned right at

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the start, African Americans face over three

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times the likelihood of progressing to end -stage

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kidney disease compared to whites. Three times!

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That's huge! It is. Smoking rates, too, are highest

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in American Indian Alaskan Native populations.

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And they're clearly linked to lower income and

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education levels. Alcohol use disorder also shows

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disproportionate rates in American Indians Alaskan

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Natives. Poor oral health, something we might

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easily overlook in a surgical context, is documented

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as being much more common in African Americans

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and Hispanics. Infectious diseases like HIV and

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hepatitis C, often carrying significant social

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stigma, they also disproportionately affect African

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Americans and Hispanics. Mental illness, while

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widespread, is shown to be linked to the burden

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of discrimination experienced by racial and ethnic

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minorities. African Americans specifically highlight

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it as being more prone to chronic depression,

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facing significant hurdles in accessing treatment.

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And finally, housing insecurity. Affecting 10

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-15 % of Americans, it disproportionately impacts

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low -income individuals and racial minorities.

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These aren't minor statistical fluctuations,

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you know. They represent substantial persistent

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burdens, unevenly distributed across populations,

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often due to systemic factors, historical inequities.

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That really drives home the point, doesn't it?

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We're not starting from an equal playing field

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when patients present for TJA. It's a landscape

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of, well, overlapping vulnerabilities. So finally

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for this setup, the title of this series, Movement

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is Life Optimizing Patient Access. What's the

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core challenge or maybe the overarching mission

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that these articles collectively seek to address

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regarding these specific disparities and equitable

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access to joint replacement surgery? The core

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mission, as it's articulated throughout the series,

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it's fundamentally about promoting health equity.

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working towards eliminating musculoskeletal disparities.

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TJA is a profound surgery. It literally gives

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people back their ability to move, which is so

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fundamental to life, isn't it? Independence,

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well -being. The central challenge these articles

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confront is that many of the health conditions

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and risk factors that necessitate preoperative

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optimization, things like poorly controlled blood

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pressure, kidney disease, smoking, even unstable

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housing, these are precisely the ones that are

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more prevalent in underserved groups. Right,

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the very groups who need the surgery often face

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the biggest hurdles getting ready for it. Exactly.

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And this is often due to systemic issues, including

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the cumulative impact of discrimination, limited

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access to consistent primary care over a lifetime,

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lack of resources. The articles powerfully argue

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that preoperative optimization can indeed serve

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as a crucial pathway to improving access to TJA,

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helping to reduce these disparities. But... And

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this is a critical caveat they make only if these

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optimization programs are intentionally designed

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with the unique needs and challenges of these

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underserved communities firmly in mind. They

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spend considerable time cautioning against the

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pitfalls of strict, inflexible preoperative cutoffs.

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Things like rigid BMI limits, absolute requirements

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for dental clearance, or mandatory unsupported

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smoking cessation without considering the patient's

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ability to access the necessary support. So just

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saying you must stop smoking isn't enough if

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the support isn't there. Precisely. Their argument

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is that the evidence suggests these kinds of

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inflexible criteria can actually exacerbate existing

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disparities. They disproportionately exclude

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patients from minority or indigent populations.

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It potentially leads to what the authors call

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carry -picking, selecting healthier, lower -risk

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patients, which ultimately widens rather than

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narrows. health equity gaps. OK, let's unpack

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this further then. It sounds like the conversation

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isn't just about, you know, ticking off a medical

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checklist before surgery. It's about understanding

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and navigating a deeply complex landscape of

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health, social factors, systemic barriers that

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patients face long before they even meet an orthopedic

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surgeon. Exactly. It forces us as health care

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providers, as systems, to look beyond the purely

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clinical data points on a patient's chart. We

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need to consider the broader determinants of

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health. the conditions in which people are born,

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grow, live, work, age, and how these profoundly

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impact a patient's ability to reach a point where

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elective surgery like PJA is actually safe and

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successful for them. Right. So building on that,

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let's really dive into some of these specific

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factors the sources examine in detail. We'll

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start with what we might think of as the more

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traditional medical comorbidities, but always

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keeping that lens of disparities and systemic

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challenges in focus. An excellent place to begin.

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The sources dedicate specific articles to exploring

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a range of health factors, how they interact

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with TJA outcomes and access, and they consistently

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highlight where disparities exist. One condition

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that's paramount for any surgical candidate and

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which the sources delve into with some striking

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statistics is cardiovascular health. Indeed.

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The article specifically on cardiovascular health

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before TJA, it paints a very clear picture of

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the burden. It notes that a significant portion

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of American adults struggle with these issues.

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About 6 .7 % diagnosed with coronary artery disease

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and a massive 45 % having hypertension, high

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blood pressure. Perhaps the most alarming figure

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cited is that fewer than 25 % of adults with

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these conditions have them properly managed and

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controlled. Fewer than 25%. Think about that.

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less than a quarter receiving adequate control

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for conditions that significantly increase surgical

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risk. That's an enormous pool of patients, isn't

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it, who might be seeking TJA while carrying uncontrolled

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cardiovascular risks. Precisely. And as we touched

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on in the rapid fire, the disparity is starkly

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visible here. Hypertension is most prevalent

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among African Americans, and this is explicitly

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linked in the source to lower socioeconomic status

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and education level. So right away, a major clinical

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risk factor is shown to be deeply intertwined

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with social determinants of health. How does

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having uncontrolled cardiovascular issues directly

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impact someone undergoing or planning for a joint

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replacement? The impact, according to these sources,

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is substantial. Wide -ranging. Heart disease

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is strongly associated with a whole host of negative

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post -operative complications. These include

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cardiovascular and cerebrovascular events, heart

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attacks, strokes, pulmonary complications affecting

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the lungs, issues with blood clotting, coagulopathy,

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increased rates of hospital readmission, and

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very significantly higher mortality rates. The

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article underscores the gravity by stating that

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ischemic heart disease is, in fact, the most

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common cause of death following total joint arthroplasty.

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Furthermore, patients from lower socioeconomic

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backgrounds are specifically identified as being

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at a higher risk for myocardial infarction heart

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attack after TJA. even independent of other factors.

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The most common cause of death. That statistic

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alone powerfully underlines why optimizing cardiovascular

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health isn't just beneficial, it's potentially

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life -saving. And the sources introduce this

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concept of allostatic load in this context. Can

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you explain that a bit? Yes, this is a really

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important concept they bring forward. Allostatic

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load, it's described as the cumulative wearing

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away of the body that results from chronic exposure

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to stress. The article explicitly links the burden

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of discrimination which is disproportionately

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placed upon African American and Hispanic populations

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to an increase in their risk of developing heart

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disease. This framework helps explain how systemic

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social issues, the stress of experiencing discrimination

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over a lifetime, can manifest directly as increased

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biological risk factors. It further compounds

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the preoperative challenges faced by these groups.

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That's a profound connection. It highlights that

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we're not just dealing with individual patient

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factors, are we, but the cumulative impact of

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societal stress, inequity affecting biological

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health. So given these risks and disparities,

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what optimization strategies do the sources recommend

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for improving cardiovascular health before TJA?

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Well, they advocate for a thorough and proactive

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preoperative assessment process. This includes

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evaluating factors you might not immediately

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connect to heart health, like food security,

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recognizing that access to nutritious food directly

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impacts dietary choices and health. An interesting

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link. Core strategies involve encouraging lifestyle

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modifications, improving diet, increasing physical

00:12:34.480 --> 00:12:37.720
activity, alongside appropriate pharmacologic

00:12:37.720 --> 00:12:39.919
treatments to manage conditions like hypertension,

00:12:40.460 --> 00:12:43.240
hyperlipidemia. A consistent theme across these

00:12:43.240 --> 00:12:45.419
articles, and one highlighted specifically here,

00:12:45.779 --> 00:12:48.779
is the invaluable role of nurse navigators. They

00:12:48.779 --> 00:12:51.399
are seen as critical guides for patients, helping

00:12:51.399 --> 00:12:54.100
them access resources, adhere to recommendations.

00:12:54.379 --> 00:12:56.220
Nurse navigators sound like a crucial piece of

00:12:56.220 --> 00:12:58.679
the puzzle, really, for making optimization programs

00:12:58.679 --> 00:13:01.259
actually work, especially for complex patients.

00:13:01.700 --> 00:13:04.340
What about more specific clinical guidance, managing

00:13:04.340 --> 00:13:06.500
conditions like hypertension immediately before

00:13:06.500 --> 00:13:09.279
surgery? The sources provide some clinical specifics,

00:13:09.519 --> 00:13:12.019
yes. They recommend continuing beta -blocker

00:13:12.019 --> 00:13:14.659
medications preoperatively, citing evidence this

00:13:14.659 --> 00:13:17.100
class of drugs can decrease both 30 -day and

00:13:17.100 --> 00:13:20.200
one -year mortality rates after surgery. While

00:13:20.200 --> 00:13:22.740
they caution against using strict universal blood

00:13:22.740 --> 00:13:24.759
pressure cutoffs that could exclude patients

00:13:24.759 --> 00:13:27.700
unnecessarily, they do note that a blood pressure

00:13:27.700 --> 00:13:31.070
reading above, say, 180110 may be a trigger point.

00:13:31.590 --> 00:13:34.929
It might warrant delaying elective TJA to allow

00:13:34.929 --> 00:13:37.330
time for better control. Okay. For patients with

00:13:37.330 --> 00:13:39.649
more complex cardiovascular histories or multiple

00:13:39.649 --> 00:13:42.570
comorbidities, co -management with internal medicine

00:13:42.570 --> 00:13:45.669
or cardiology specialists is recommended, potentially

00:13:45.669 --> 00:13:48.240
extending into the post -operative period. Red

00:13:48.240 --> 00:13:50.399
flag's warranting a pre -op cardiology referral

00:13:50.399 --> 00:13:52.980
explicitly mentioned include poorly controlled

00:13:52.980 --> 00:13:55.820
hypertension, a history of prior coronary interventions

00:13:55.820 --> 00:13:58.580
like stents or bypass surgery, recent heart attack,

00:13:58.960 --> 00:14:01.080
or the need for complex management of antiplatelet

00:14:01.080 --> 00:14:03.620
or anticoagulation meds. That sounds like a layered

00:14:03.620 --> 00:14:06.419
approach, requires significant coordination across

00:14:06.419 --> 00:14:09.259
disciplines, patient support. This brings up

00:14:09.259 --> 00:14:11.860
a potentially challenging trend, the shift towards

00:14:11.860 --> 00:14:15.220
outpatient total joint arthroplasty. How might

00:14:15.220 --> 00:14:18.120
this trend potentially disadvantage patient populations

00:14:18.120 --> 00:14:21.480
who carry these higher comorbidity burdens, particularly

00:14:21.480 --> 00:14:24.179
those from underserved groups? This is a really

00:14:24.179 --> 00:14:26.620
important question the source raises, and it's

00:14:26.620 --> 00:14:29.960
presented as a potential concern, yes. they express

00:14:29.960 --> 00:14:32.539
worry that the increasing move towards performing

00:14:32.539 --> 00:14:35.620
TJA in outpatient or ambulatory surgical settings

00:14:35.620 --> 00:14:38.519
could inadvertently disadvantage patient populations

00:14:38.519 --> 00:14:40.860
who have higher rates of complex medical conditions.

00:14:41.679 --> 00:14:43.759
This is particularly true if these outpatient

00:14:43.759 --> 00:14:46.259
centers aren't adequately equipped with the necessary

00:14:46.259 --> 00:14:48.720
support infrastructure. Things like dedicated

00:14:48.720 --> 00:14:50.940
nurse navigators or physician extenders who can

00:14:50.940 --> 00:14:53.740
help manage these comorbidities in the perioperative

00:14:53.740 --> 00:14:55.720
period. Right, the support needs to follow the

00:14:55.720 --> 00:14:58.750
patient setting. Exactly. The article notes that

00:14:58.750 --> 00:15:00.629
African American patients currently receive a

00:15:00.629 --> 00:15:02.730
disproportionately higher percentage of their

00:15:02.730 --> 00:15:05.429
TJA procedures in inpatient settings compared

00:15:05.429 --> 00:15:08.769
to whites, which they suggest could reflect this

00:15:08.769 --> 00:15:11.169
underlying higher co -morbidity burden within

00:15:11.169 --> 00:15:13.470
that group. They also point out that African

00:15:13.470 --> 00:15:16.549
Americans have lower overall TJA utilization

00:15:16.549 --> 00:15:19.309
rates to begin with. The concern is that without

00:15:19.309 --> 00:15:21.610
robust support systems in outpatient settings,

00:15:22.070 --> 00:15:24.350
this procedural shift could potentially exacerbate

00:15:24.350 --> 00:15:27.070
existing disparities in outcomes and access for

00:15:27.070 --> 00:15:29.629
these vulnerable populations. That really highlights

00:15:29.629 --> 00:15:32.049
the need for careful planning, investment, and

00:15:32.049 --> 00:15:34.350
support infrastructure as surgical settings evolve.

00:15:35.389 --> 00:15:37.330
Okay, shifting gears slightly, the series also

00:15:37.330 --> 00:15:39.529
takes an in -depth look at chronic kidney disease,

00:15:39.710 --> 00:15:42.549
CKD. What does the source material reveal about

00:15:42.549 --> 00:15:45.899
CKD in the context of TJA? Chronic kidney disease

00:15:45.899 --> 00:15:48.500
is another significant and prevalent comorbidity

00:15:48.500 --> 00:15:51.879
with a clear link to TJA. The articles state

00:15:51.879 --> 00:15:54.820
that approximately 15 % of U .S. adults have

00:15:54.820 --> 00:15:57.889
CKD. And again, we see that pattern of disparities.

00:15:58.450 --> 00:16:00.610
Prevalence is higher in underserved communities,

00:16:00.929 --> 00:16:03.929
affecting 16 % of African Americans and 14 %

00:16:03.929 --> 00:16:06.529
of Hispanics. The disparity becomes even more

00:16:06.529 --> 00:16:08.210
pronounced when looking at end -stage kidney

00:16:08.210 --> 00:16:11.509
disease, ESKD, the most severe form, where, as

00:16:11.509 --> 00:16:13.409
we said, African Americans are over three times

00:16:13.409 --> 00:16:15.230
more likely to develop it compared to whites.

00:16:15.850 --> 00:16:18.769
ESKD often requires dialysis or kidney transplantation.

00:16:19.029 --> 00:16:21.210
So it's not just about having CKD, but the severity

00:16:21.210 --> 00:16:23.190
and the distribution of that severity across

00:16:23.190 --> 00:16:25.860
populations. Exactly. And the sources highlight

00:16:25.860 --> 00:16:29.200
how CKD rates are also higher in geriatric populations

00:16:29.200 --> 00:16:31.919
and those who are socioeconomically disadvantaged.

00:16:32.379 --> 00:16:34.559
What's particularly striking is how these risk

00:16:34.559 --> 00:16:36.980
factors tend to cluster. The article points out

00:16:36.980 --> 00:16:38.799
these are often the very same groups who have

00:16:38.799 --> 00:16:41.519
high rates of hip and knee osteoarthritis, the

00:16:41.519 --> 00:16:44.279
condition prompting the TJA. and who also have

00:16:44.279 --> 00:16:46.279
elevated rates of other related comorbidities

00:16:46.279 --> 00:16:49.200
like obesity, diabetes, heart disease, hypertension.

00:16:49.820 --> 00:16:52.039
It paints a picture of intertwined health challenges

00:16:52.039 --> 00:16:54.960
where multiple risks accumulate in the same individuals

00:16:54.960 --> 00:16:57.460
and communities. If we connect this clustering

00:16:57.460 --> 00:16:59.940
of risks to the bigger picture of surgery, how

00:16:59.940 --> 00:17:02.740
does CKD specifically impact the safety and success

00:17:02.740 --> 00:17:05.880
of a total joint arthroplasty? The surgical impact,

00:17:06.140 --> 00:17:07.839
as detailed in the sources, is considerable.

00:17:08.029 --> 00:17:10.509
They state unequivocally that chronic kidney

00:17:10.509 --> 00:17:13.170
disease, even at early stages, is associated

00:17:13.170 --> 00:17:15.910
with increased risks of post -operative readmission,

00:17:16.809 --> 00:17:19.529
higher overall complications, and increased mortality

00:17:19.529 --> 00:17:22.650
after TJA. For patients on hemodialysis, meaning

00:17:22.650 --> 00:17:25.269
they have end -stage kidney disease, the risks

00:17:25.269 --> 00:17:28.509
are even higher, including a significantly increased

00:17:28.509 --> 00:17:31.390
risk for periprosthetic joint infection, PGI,

00:17:31.910 --> 00:17:34.069
which is, as we know, a devastating complication.

00:17:34.690 --> 00:17:37.349
While receiving a kidney transplant can significantly

00:17:37.349 --> 00:17:39.769
lower these surgical risks, the sources note

00:17:39.769 --> 00:17:41.829
that there remains varying clinical opinion on

00:17:41.829 --> 00:17:44.289
whether patients on dialysis are truly safe candidates

00:17:44.289 --> 00:17:48.009
for elective TJA. Some clinicians recommend delaying

00:17:48.009 --> 00:17:50.190
surgery until after a successful kidney transplant,

00:17:50.450 --> 00:17:52.190
if that's an option for the patient. But you

00:17:52.190 --> 00:17:54.269
mentioned earlier that access to kidney transplant

00:17:54.269 --> 00:17:56.609
is itself marked by disparities. That complicates

00:17:56.609 --> 00:17:58.509
things further, doesn't it? This is where the

00:17:58.509 --> 00:18:00.789
issues become particularly complex intersecting.

00:18:00.859 --> 00:18:03.539
The sources explicitly state that individuals

00:18:03.539 --> 00:18:06.279
from low socioeconomic backgrounds and underrepresented

00:18:06.279 --> 00:18:09.140
minority groups experience unequal access to

00:18:09.140 --> 00:18:11.900
kidney transplantation compared to other populations.

00:18:12.700 --> 00:18:15.440
What this means in the context of TJA is that

00:18:15.440 --> 00:18:17.539
a larger percentage of patients who are candidates

00:18:17.539 --> 00:18:20.599
for joint replacement and are on dialysis are

00:18:20.599 --> 00:18:22.859
likely to come from these very groups who face

00:18:22.859 --> 00:18:26.240
additional systemic barriers to accessing a lifesaving

00:18:26.240 --> 00:18:29.099
transplant first. The authors offer a practical

00:18:29.099 --> 00:18:31.859
recommendation here. They suggest that orthopedic

00:18:31.859 --> 00:18:34.220
surgeons should proactively communicate the severity

00:18:34.220 --> 00:18:36.799
of a patient's osteoarthritis, the impact it

00:18:36.799 --> 00:18:39.079
has on their quality of life, mobility with their

00:18:39.079 --> 00:18:42.400
nephrology, and transplant teams. They propose

00:18:42.400 --> 00:18:44.660
that highlighting the patient's need for TJA

00:18:44.660 --> 00:18:47.039
could potentially influence their priority or

00:18:47.039 --> 00:18:50.259
position on a kidney transplant wait list, thereby

00:18:50.259 --> 00:18:52.740
addressing two major health needs concurrently,

00:18:52.940 --> 00:18:54.380
advocating for the patient within the broader

00:18:54.380 --> 00:18:56.660
healthcare system. That's a crucial point about

00:18:56.660 --> 00:18:59.259
communication and advocacy across specialties,

00:18:59.440 --> 00:19:02.119
really important. What about optimizing patients

00:19:02.119 --> 00:19:05.279
who do have CKD before their TJA? Preoperative

00:19:05.279 --> 00:19:07.480
screening for existing or undiagnosed kidney

00:19:07.480 --> 00:19:09.759
disease is highlighted as a critical first step.

00:19:10.319 --> 00:19:12.519
This involves a comprehensive evaluation that

00:19:12.519 --> 00:19:15.150
goes beyond just serum cratinine. It includes

00:19:15.150 --> 00:19:18.569
assessing glomerular filtration rate, GFR, a

00:19:18.569 --> 00:19:20.730
key measure of kidney function checking electrolyte

00:19:20.730 --> 00:19:23.509
levels, hemoglobin levels to assess for anemia,

00:19:23.730 --> 00:19:26.869
which is common in CKD, evaluating volume status,

00:19:27.049 --> 00:19:28.769
and ensuring blood pressure is as controlled

00:19:28.769 --> 00:19:31.549
as possible. Working closely with the patient's

00:19:31.549 --> 00:19:34.450
primary care physician is deemed vital, and referral

00:19:34.450 --> 00:19:36.470
to a nephrology specialist is recommended for

00:19:36.470 --> 00:19:40.170
patients with stage 3 or greater CKD. Optimization

00:19:40.170 --> 00:19:42.730
strategies specific to CKD patients preparing

00:19:42.730 --> 00:19:45.650
for TJA include carefully managing their fluid

00:19:45.650 --> 00:19:48.309
volume status, providing iron supplementation

00:19:48.309 --> 00:19:50.450
if they have anemia, and addressing any issues

00:19:50.450 --> 00:19:52.390
with blood clotting disorders, potentially with

00:19:52.390 --> 00:19:55.569
consultation from hematology. The sources also

00:19:55.569 --> 00:19:58.450
include a specific clinical detail. They recommend

00:19:58.450 --> 00:20:00.490
avoiding blood transfusions if at all possible

00:20:00.490 --> 00:20:02.650
for patients who are eligible for kidney transplant.

00:20:03.039 --> 00:20:05.460
Receiving trans -used blood can lead to the development

00:20:05.460 --> 00:20:07.380
of antibodies that might make future transplant

00:20:07.380 --> 00:20:09.500
more difficult or increase the risk of rejection.

00:20:09.980 --> 00:20:12.660
So another condition requiring that multidisciplinary

00:20:12.660 --> 00:20:15.779
coordination, attention to very specific clinical

00:20:15.779 --> 00:20:18.500
details, all while recognizing the underlying

00:20:18.500 --> 00:20:20.579
disparities that might make managing it more

00:20:20.579 --> 00:20:23.259
challenging for certain patients. Let's look

00:20:23.259 --> 00:20:26.720
at anemia next. Anemia, or low red blood cell

00:20:26.720 --> 00:20:29.259
count, is surprisingly common. It affects around

00:20:29.259 --> 00:20:32.440
6 % of U .S. adults overall. But again, the sources

00:20:32.440 --> 00:20:34.539
point out it's more prevalent in specific patient

00:20:34.539 --> 00:20:37.180
groups, including the elderly, those with existing

00:20:37.180 --> 00:20:40.059
conditions like CKD, cancer, heart failure, diabetes.

00:20:40.599 --> 00:20:42.640
This again illustrates that pattern of intersecting

00:20:42.640 --> 00:20:45.160
risks and vulnerability we've noted. And the

00:20:45.160 --> 00:20:48.460
surgical risk of anemia in TJA. What do the sources

00:20:48.460 --> 00:20:51.079
say? They're very direct on this point. Preoperative

00:20:51.079 --> 00:20:53.519
anemia is identified as a strong and independent

00:20:53.519 --> 00:20:56.380
predictor of needing a postoperative blood transfusion.

00:20:56.539 --> 00:20:58.920
Beyond the risks associated with transfusion

00:20:58.920 --> 00:21:01.339
itself, preoperative anemia is also linked to

00:21:01.339 --> 00:21:03.500
increased overall morbidity and mortality after

00:21:03.500 --> 00:21:06.640
surgery. They specifically mention iron deficiency

00:21:06.640 --> 00:21:09.279
anemia as a common type that's important to identify

00:21:09.279 --> 00:21:11.420
because it is highly treatable before surgery

00:21:11.420 --> 00:21:14.160
through iron supplementation. This topic also

00:21:14.160 --> 00:21:16.279
leads into a discussion of sickle cell disease,

00:21:16.460 --> 00:21:19.920
doesn't it? A related but distinct issue. Yes.

00:21:20.279 --> 00:21:22.380
The same article broadens its scope to include

00:21:22.380 --> 00:21:26.009
sickle cell disease, SCD. This is a significant

00:21:26.009 --> 00:21:28.150
inherited blood disorder predominantly affecting

00:21:28.150 --> 00:21:32.089
black individuals, occurring in about 1 in 365

00:21:32.089 --> 00:21:35.970
black births, 1 in 16 ,300 Hispanic births in

00:21:35.970 --> 00:21:38.809
the U .S., affecting an estimated 100 ,000 Americans

00:21:38.809 --> 00:21:41.890
overall. A major orthopedic manifestation of

00:21:41.890 --> 00:21:45.009
SCD is osteonecrosis bone death due to lack of

00:21:45.009 --> 00:21:46.930
blood supply, particularly affecting the femoral

00:21:46.930 --> 00:21:49.740
head, the ball of the hip joint. Between 10 %

00:21:49.740 --> 00:21:53.259
and 40 % of patients with SCD will develop osteunacrosis

00:21:53.259 --> 00:21:55.619
severe enough to require total hip arthroplasty.

00:21:56.380 --> 00:21:58.799
This means a TJA in the context of SCD often

00:21:58.799 --> 00:22:01.319
involves younger, more active patients compared

00:22:01.319 --> 00:22:03.339
to the typical older patient with osteoarthritis.

00:22:03.549 --> 00:22:05.549
which presents unique surgical considerations.

00:22:05.809 --> 00:22:07.549
Right. And here's where it gets really interesting

00:22:07.549 --> 00:22:09.710
or perhaps challenging from a surgical perspective.

00:22:10.150 --> 00:22:12.250
The sources detail specific surgical challenges

00:22:12.250 --> 00:22:14.410
and risks that are unique to patients with sickle

00:22:14.410 --> 00:22:16.450
cell disease undergoing TJA. What are those?

00:22:16.750 --> 00:22:18.490
They detail significant technical challenges

00:22:18.490 --> 00:22:20.490
and risks stemming directly from the disease

00:22:20.490 --> 00:22:23.410
itself. SCD causes changes in the bone marrow

00:22:23.410 --> 00:22:26.289
fatty infiltration, sclerosis or hardening of

00:22:26.289 --> 00:22:28.529
the bone, narrowing of the femoral canal which

00:22:28.529 --> 00:22:31.230
is important for implant placement, bony defects.

00:22:31.730 --> 00:22:34.190
These bone changes can increase the risk of complications.

00:22:34.789 --> 00:22:37.609
Things like implant malposition, prosthetic dislocation

00:22:37.609 --> 00:22:39.849
after surgery, aseptic cup loosening where the

00:22:39.849 --> 00:22:41.930
implant comes loose without infection, delayed

00:22:41.930 --> 00:22:44.819
wound healing, Also, the need for revision surgery,

00:22:45.240 --> 00:22:48.319
osteomyelitis or bone infection, systemic sepsis,

00:22:48.759 --> 00:22:51.059
longer hospital stays compared to average TJA

00:22:51.059 --> 00:22:53.799
patients, and higher rates of readmission. And

00:22:53.799 --> 00:22:55.299
in the articles also point out that patients

00:22:55.299 --> 00:22:58.019
with SCD often face barriers accessing appropriate

00:22:58.019 --> 00:23:00.559
care in general, adding another layer of difficulty.

00:23:00.900 --> 00:23:03.220
They do. This adds another layer of complexity

00:23:03.220 --> 00:23:05.859
to their surgical journey. So the optimization

00:23:05.859 --> 00:23:08.359
strategies recommended for SCV patients undergoing

00:23:08.359 --> 00:23:12.400
TJA are quite specific, comprehensive. A key

00:23:12.400 --> 00:23:15.480
intervention is preoperative red blood cell transfusions.

00:23:16.180 --> 00:23:18.619
The goal is to dilute the concentration of sickle

00:23:18.619 --> 00:23:20.920
cells in the patient's blood with healthy red

00:23:20.920 --> 00:23:23.819
cells, aiming for a hemoglobin level above 10

00:23:23.819 --> 00:23:26.880
GDL before surgery. This helps improve oxygen

00:23:26.880 --> 00:23:29.579
delivery, reduces the risk of sickle cell related

00:23:29.579 --> 00:23:32.519
complications. Crucially, the sources highlight

00:23:32.519 --> 00:23:35.140
the need for careful proactive pain monitoring

00:23:35.140 --> 00:23:38.089
during the perioperative period. and they explicitly

00:23:38.089 --> 00:23:40.849
point out the sad reality of potential bias from

00:23:40.849 --> 00:23:42.890
health care providers regarding pain management

00:23:42.890 --> 00:23:45.009
in this patient population, which can lead to

00:23:45.009 --> 00:23:46.970
undertreatment. That's a really serious point

00:23:46.970 --> 00:23:49.470
about bias. It is. They recommend aggressive

00:23:49.470 --> 00:23:51.630
strategies for preventing deep vein thrombosis,

00:23:51.769 --> 00:23:54.029
DVT, and careful management of perioperative

00:23:54.029 --> 00:23:57.390
fluids and blood loss. Preoperative consultations

00:23:57.390 --> 00:24:00.109
are absolutely vital, requiring a multidisciplinary

00:24:00.109 --> 00:24:03.490
team, including hematology, anesthesia, infectious

00:24:03.490 --> 00:24:07.259
disease specialists, cardiology. For pain control,

00:24:07.579 --> 00:24:10.359
they specifically recommend using scheduled NSAIDs

00:24:10.359 --> 00:24:13.380
in combination with analgesics to ensure adequate

00:24:13.380 --> 00:24:16.079
pain relief, counteract potential bias, and as

00:24:16.079 --> 00:24:18.799
-needed dosing. They also suggest documenting

00:24:18.799 --> 00:24:21.480
a clear, well -outlined analgesic plan before

00:24:21.480 --> 00:24:24.220
surgery to avoid confusion or conflict among

00:24:24.220 --> 00:24:26.400
the care team during the perioperative period.

00:24:26.650 --> 00:24:29.349
That just underscores the critical need for a

00:24:29.349 --> 00:24:32.390
coordinated, informed approach, doesn't it? Particularly

00:24:32.390 --> 00:24:34.849
for patients facing both complex medical conditions

00:24:34.849 --> 00:24:37.230
and potential healthcare biases? Okay, we've

00:24:37.230 --> 00:24:38.869
covered some significant medical conditions.

00:24:39.329 --> 00:24:41.089
But these sources also highlight how lifestyle

00:24:41.089 --> 00:24:43.410
factors, social determinants, infectious diseases,

00:24:43.950 --> 00:24:46.049
often carrying stigma, create additional hurdles

00:24:46.049 --> 00:24:49.819
and disparities for TJA candidates. Indeed. The

00:24:49.819 --> 00:24:51.900
sources transition here to examining several

00:24:51.900 --> 00:24:54.779
factors that, while often behavioral or linked

00:24:54.779 --> 00:24:57.599
closely to social determinants, have a profound,

00:24:58.140 --> 00:25:00.619
often underestimated impact on a patient's readiness

00:25:00.619 --> 00:25:03.539
for surgery, their outcomes, and equitable access

00:25:03.539 --> 00:25:06.950
to care. Smoking is a classic, modifiable risk

00:25:06.950 --> 00:25:09.690
factor discussed before surgery. But the source

00:25:09.690 --> 00:25:11.970
material reveals significant disparities here,

00:25:12.269 --> 00:25:14.690
too, surprisingly. Absolutely. While the overall

00:25:14.690 --> 00:25:16.630
rate of smoking among U .S. adults is around

00:25:16.630 --> 00:25:19.890
13 .7%, the disparities highlighted in the source

00:25:19.890 --> 00:25:22.630
are quite stark. Smoking rates are highest among

00:25:22.630 --> 00:25:24.890
American, Indian, Alaskan, Native individuals.

00:25:25.309 --> 00:25:27.650
And they're clearly linked to specific socioeconomic

00:25:27.650 --> 00:25:29.930
factors, particularly having a GED rather than

00:25:29.930 --> 00:25:32.569
higher education, living in lower -income households,

00:25:32.750 --> 00:25:35.140
residing in rural areas, areas, having a disability,

00:25:35.299 --> 00:25:38.279
being part of the LGBTQ plus community, experiencing

00:25:38.279 --> 00:25:41.140
psychological distress. The article also raises

00:25:41.140 --> 00:25:43.759
concern about the recent rise in vaping, suggesting

00:25:43.759 --> 00:25:46.039
it may become a pathway to future smoking and

00:25:46.039 --> 00:25:48.400
associated health issues. And they explicitly

00:25:48.400 --> 00:25:50.819
link these disparities to predatory marketing

00:25:50.819 --> 00:25:53.119
practices. That's quite a statement. Yes. This

00:25:53.119 --> 00:25:55.220
is a critical point they make. The article states

00:25:55.220 --> 00:25:57.539
that disproportionate and predatory marketing

00:25:57.539 --> 00:26:00.380
strategies by the tobacco industry specifically

00:26:00.380 --> 00:26:03.869
target vulnerable populations. They mention working

00:26:03.869 --> 00:26:05.890
-class individuals, residents of predominantly

00:26:05.890 --> 00:26:08.609
blackened or low -income geographic areas, the

00:26:08.609 --> 00:26:11.710
LGBTQ plus community. The sources explicitly

00:26:11.710 --> 00:26:14.309
identify this targeted marketing as a causative

00:26:14.309 --> 00:26:16.269
factor contributing to these higher rates of

00:26:16.269 --> 00:26:18.329
smoking and the increased difficulty in quitting

00:26:18.329 --> 00:26:20.829
among these communities. That really adds a systemic

00:26:20.829 --> 00:26:23.029
layer, doesn't it, to what is often framed purely

00:26:23.029 --> 00:26:25.609
as an individual's health choice? What is the

00:26:25.609 --> 00:26:28.410
specific negative impact of smoking on TJA outcomes

00:26:28.410 --> 00:26:30.990
reported in the sources? The impact is significant.

00:26:31.150 --> 00:26:33.930
affects multiple aspects of the surgical process

00:26:33.930 --> 00:26:36.990
and recovery. Smoking impairs wound healing,

00:26:37.349 --> 00:26:39.950
which can lead to serious infections, both superficial

00:26:39.950 --> 00:26:43.450
and deep. It delays bone healing, increasing

00:26:43.450 --> 00:26:45.450
the risk of complications related to how the

00:26:45.450 --> 00:26:47.829
implant integrates with the bone, potentially

00:26:47.829 --> 00:26:50.950
leading to aseptic loosening later on. Furthermore,

00:26:51.250 --> 00:26:53.230
it significantly increases the risk of major

00:26:53.230 --> 00:26:56.069
medical complications such as myocardial infarction,

00:26:56.390 --> 00:26:59.369
cardiac arrest, pneumonia, sepsis in the perioperative

00:26:59.369 --> 00:27:02.460
period. Smokers are also more likely to require

00:27:02.460 --> 00:27:05.000
prolonged opioid use for pain control and face

00:27:05.000 --> 00:27:07.460
higher rates of hospital readmission and mortality.

00:27:07.859 --> 00:27:10.180
That's quite an array of risks. Given that smoking

00:27:10.180 --> 00:27:12.880
is a modifiable risk factor, does quitting immediately

00:27:12.880 --> 00:27:15.039
before surgery make a difference, even short

00:27:15.039 --> 00:27:17.799
-term? The sources confirm that quitting before

00:27:17.799 --> 00:27:21.000
surgery is crucial. It does lower the risk of

00:27:21.000 --> 00:27:22.980
complications compared to continuing to smoke.

00:27:23.480 --> 00:27:26.099
They state that even temporary cessation for

00:27:26.099 --> 00:27:28.259
a shorter period as four to eight weeks leading

00:27:28.259 --> 00:27:30.599
up to surgery has been shown in studies to be

00:27:30.599 --> 00:27:33.099
beneficial in reducing perioperative complications.

00:27:33.779 --> 00:27:35.500
What role does the orthopedic surgeon play in

00:27:35.500 --> 00:27:38.200
this process? The sources highlight the surgeon's

00:27:38.200 --> 00:27:41.490
position as providing a teachable moment. Patients

00:27:41.490 --> 00:27:44.029
facing a major surgery are often more motivated

00:27:44.029 --> 00:27:46.750
to make health changes. The surgeon can leverage

00:27:46.750 --> 00:27:49.109
this by strongly counseling them on the importance

00:27:49.109 --> 00:27:51.910
of quitting. However, they also acknowledge the

00:27:51.910 --> 00:27:55.069
significant challenge. Smoking is highly addictive.

00:27:55.589 --> 00:27:57.809
They compare its addictive potential to that

00:27:57.809 --> 00:28:00.609
of cocaine and heroin. They're realistic about

00:28:00.609 --> 00:28:03.009
the difficulty many patients face in successfully

00:28:03.009 --> 00:28:06.079
quitting. What did the survey of orthopedic institutions,

00:28:06.119 --> 00:28:08.299
which is mentioned across these articles, reveal

00:28:08.299 --> 00:28:10.599
about how smoking cessation is actually handled

00:28:10.599 --> 00:28:14.460
in practice before TJA? Is it consistent? The

00:28:14.460 --> 00:28:16.539
survey results reported in the article revealed

00:28:16.539 --> 00:28:19.740
widespread variability and a general lack of

00:28:19.740 --> 00:28:22.180
structured formal preoperative smoking cessation

00:28:22.180 --> 00:28:25.039
protocols across the seven major orthopedic institutions

00:28:25.039 --> 00:28:27.940
they surveyed. Only two institutions reported

00:28:27.940 --> 00:28:29.940
that their surgeons routinely told patients they

00:28:29.940 --> 00:28:32.740
should be smoke -free before surgery. And only

00:28:32.740 --> 00:28:35.140
one of those sometimes verified this with cotinane

00:28:35.140 --> 00:28:38.079
levels, a marker of nicotine exposure. Only one?

00:28:38.259 --> 00:28:41.180
Wow. Crucially, the survey found no evidence

00:28:41.180 --> 00:28:44.279
of systematic hard stops, meaning automatic cancellation

00:28:44.279 --> 00:28:46.980
or postponement of surgery based solely on a

00:28:46.980 --> 00:28:49.680
patient's smoking status. This suggests a significant

00:28:49.680 --> 00:28:52.720
gap. a clear opportunity for developing and implementing

00:28:52.720 --> 00:28:55.660
more consistent, effective, preoperative smoking

00:28:55.660 --> 00:28:58.559
cessation programs. When discussing effective

00:28:58.559 --> 00:29:00.400
programs, the sources mentioned comprehensive

00:29:00.400 --> 00:29:03.440
approaches are best. Incorporating medical management,

00:29:03.880 --> 00:29:06.180
behavior modification techniques, motivational

00:29:06.180 --> 00:29:08.519
interviewing, these are typically described as

00:29:08.519 --> 00:29:11.579
prolonged intensive programs. They list pharmacologic

00:29:11.579 --> 00:29:14.099
aids that can assist patients. Over -the -counter

00:29:14.099 --> 00:29:17.400
nicotine replacement products, varenicline, bupropion.

00:29:17.549 --> 00:29:19.710
They mentioned the past controversy and black

00:29:19.710 --> 00:29:21.950
box warnings associated with some of these meds.

00:29:22.069 --> 00:29:24.369
But note, these were removed in 2016 based on

00:29:24.369 --> 00:29:26.990
newer evidence. Although label warnings about

00:29:26.990 --> 00:29:29.250
potential effects on behavior and mood do remain.

00:29:29.569 --> 00:29:31.910
They also touch on the complexities of actually

00:29:31.910 --> 00:29:34.150
verifying abstinence through testing, don't they?

00:29:34.430 --> 00:29:36.630
Yes. The article discusses the challenges of

00:29:36.630 --> 00:29:39.269
relying solely on biochemical verification, like

00:29:39.269 --> 00:29:41.950
cottonine testing. Cottonine levels can vary

00:29:41.950 --> 00:29:46.069
based on factors like race, ethnicity, sex. Understanding

00:29:46.069 --> 00:29:48.769
the half -lives of nicotine and cotinine is complex.

00:29:49.490 --> 00:29:51.470
They argue that while testing can be a tool,

00:29:52.009 --> 00:29:54.329
it should ideally be used as a conversation starter,

00:29:55.150 --> 00:29:57.029
a way to understand the patient's quitting journey,

00:29:57.150 --> 00:30:00.309
their support needs, rather than simply a strict

00:30:00.309 --> 00:30:02.609
cut -off criterion that could penalize vulnerable

00:30:02.609 --> 00:30:05.450
patients who struggle despite trying. This leads

00:30:05.450 --> 00:30:07.769
them to reiterate an important point. Surgeons

00:30:07.769 --> 00:30:09.849
must weigh the risks associated with smoking

00:30:09.849 --> 00:30:12.710
for a specific patient against the profound benefits

00:30:12.710 --> 00:30:15.789
that TJA can offer. respecting the patient's

00:30:15.789 --> 00:30:17.990
autonomy, the ethical principle of not causing

00:30:17.990 --> 00:30:20.730
harm, creating strict and flexible cutoffs for

00:30:20.730 --> 00:30:23.289
modifiable risks like smoking without providing

00:30:23.289 --> 00:30:25.029
adequate support for patients to address these

00:30:25.029 --> 00:30:27.309
factors, risks increasing healthcare disparities,

00:30:28.029 --> 00:30:29.990
similar to the concerns raised about strict BMI

00:30:29.990 --> 00:30:32.289
cutoffs which have been shown to disproportionately

00:30:32.289 --> 00:30:35.279
affect disadvantaged populations. That ethical

00:30:35.279 --> 00:30:37.339
consideration about balancing risk, benefit,

00:30:37.480 --> 00:30:39.859
and access is a critical thread running through

00:30:39.859 --> 00:30:42.339
these articles, isn't it? Let's move on to alcohol

00:30:42.339 --> 00:30:45.720
and substance use disorders, AUD and SUD. The

00:30:45.720 --> 00:30:48.039
sources present significant prevalence data here,

00:30:48.059 --> 00:30:50.960
too. They do, and these are factors with substantial

00:30:50.960 --> 00:30:52.920
implications for surgical safety and outcomes.

00:30:53.240 --> 00:30:56.400
The sources report that approximately 25 .1 %

00:30:56.400 --> 00:30:58.519
of U .S. adults engaged in binge drinking in

00:30:58.519 --> 00:31:02.079
the past year, and 5 .8 % beat the criteria for

00:31:02.079 --> 00:31:04.900
an alcohol use disorder diagnosis. Once again,

00:31:05.039 --> 00:31:07.660
we see clear disparities. AUD and heavy drinking

00:31:07.660 --> 00:31:10.059
rates are highest among American Indian Alaskan

00:31:10.059 --> 00:31:12.559
Native individuals. Heavy episodic drinking is

00:31:12.559 --> 00:31:15.140
highest among Latinx and American Indian populations.

00:31:15.599 --> 00:31:17.559
AUD is also more prevalent among individuals

00:31:17.559 --> 00:31:19.819
who are unemployed, have lower levels of education,

00:31:20.160 --> 00:31:22.490
or are single and divorced. And how are alcohol

00:31:22.490 --> 00:31:24.849
and broader substance use linked? Are they often

00:31:24.849 --> 00:31:27.490
seen together? They are often closely intertwined,

00:31:27.650 --> 00:31:30.990
yes. The sources cite data showing that a significant

00:31:30.990 --> 00:31:33.990
majority, 74 percent, of individuals struggling

00:31:33.990 --> 00:31:37.190
with substance use disorder also have an alcohol

00:31:37.190 --> 00:31:39.910
use disorder. This highlights the critical importance

00:31:39.910 --> 00:31:42.369
of screening patients for both alcohol and substance

00:31:42.369 --> 00:31:45.049
use issues simultaneously when assessing surgical

00:31:45.049 --> 00:31:47.289
candidates. What about the prevalence and impact

00:31:47.289 --> 00:31:50.329
of other forms of substance use beyond alcohol?

00:31:50.559 --> 00:31:53.200
Overall recreational drug use is reported to

00:31:53.200 --> 00:31:56.660
affect 11 .7 % of individuals age 12 and older.

00:31:57.180 --> 00:31:59.500
It's cited as a major contributor to preventable

00:31:59.500 --> 00:32:02.319
morbidity and mortality in the U .S. Similar

00:32:02.319 --> 00:32:04.740
to AUD, it disproportionately affects vulnerable

00:32:04.740 --> 00:32:07.039
populations, with American Indians showing the

00:32:07.039 --> 00:32:09.759
highest rates of recreational drug use. Substance

00:32:09.759 --> 00:32:11.839
use is also tightly linked with mental illness.

00:32:12.460 --> 00:32:14.480
The article points out a specific vulnerability

00:32:14.480 --> 00:32:16.940
for women who may develop prescription opioid

00:32:16.940 --> 00:32:19.740
dependence more rapidly than men, and often face

00:32:19.740 --> 00:32:22.369
additional barriers to treatment, sometimes forgoing

00:32:22.369 --> 00:32:25.109
it due to lack of support or childcare responsibilities.

00:32:25.650 --> 00:32:27.569
You mentioned discrimination earlier as a factor

00:32:27.569 --> 00:32:30.009
in cardiovascular health. Is that connection

00:32:30.009 --> 00:32:32.809
present in the context of AUD, SUD as well? Does

00:32:32.809 --> 00:32:35.059
it play a role here? Absolutely, and the sources

00:32:35.059 --> 00:32:37.519
are very explicit about this. They state that

00:32:37.519 --> 00:32:40.480
discrimination based on race, ethnicity, sex,

00:32:40.619 --> 00:32:43.400
or sexual preference is deeply interwoven with

00:32:43.400 --> 00:32:45.700
conditions like depression, anxiety, and substance

00:32:45.700 --> 00:32:48.400
use. This discriminatory burden is linked to

00:32:48.400 --> 00:32:50.359
reduced access to mental health and addiction

00:32:50.359 --> 00:32:52.819
treatment services, and ultimately contributes

00:32:52.819 --> 00:32:55.099
to worse mental health outcomes for affected

00:32:55.099 --> 00:32:57.740
groups. So understanding that context, how does

00:32:57.740 --> 00:33:00.500
preoperative, AUD, or SUD specifically impact

00:33:00.500 --> 00:33:02.900
the process and outcomes of TJA surgery itself?

00:33:03.099 --> 00:33:05.779
The surgical implications are significant. They

00:33:05.779 --> 00:33:08.019
span both the perioperative and postoperative

00:33:08.019 --> 00:33:11.039
periods. Preoperative unhealthy alcohol use can

00:33:11.039 --> 00:33:12.900
lead to difficulties for anesthesia providers

00:33:12.900 --> 00:33:15.599
affecting dosing, effectiveness of anesthetics,

00:33:15.960 --> 00:33:18.819
pain meds. It can cause issues maintaining stable

00:33:18.819 --> 00:33:21.420
blood pressure during surgery. Increase the risk

00:33:21.420 --> 00:33:24.099
of bleeding, developing venous thromboembolism,

00:33:24.299 --> 00:33:27.200
blood clots. In the postoperative period, it's

00:33:27.200 --> 00:33:29.539
associated with higher rates of infections, poor

00:33:29.539 --> 00:33:32.079
wound healing or disruptions, cardiopulmonary

00:33:32.079 --> 00:33:35.079
complications, increased length of hospital stay.

00:33:35.720 --> 00:33:37.980
Alcohol also has complex interactions with various

00:33:37.980 --> 00:33:41.240
medications used during recovery, and can significantly

00:33:41.240 --> 00:33:43.480
disrupt a patient's ability to be compliant with

00:33:43.480 --> 00:33:46.160
postoperative instructions, rehabilitation protocols,

00:33:46.339 --> 00:33:48.640
and non -prescription drug use before surgery.

00:33:48.819 --> 00:33:51.220
Some more risks. Preoperative non -prescription

00:33:51.220 --> 00:33:54.079
drug use or abuse is linked to increased risks

00:33:54.079 --> 00:33:56.680
of serious complications, like periprosthetic

00:33:56.680 --> 00:33:59.700
joint infection, wound complications, aseptic

00:33:59.700 --> 00:34:02.309
loosening of the implant. One of the most striking

00:34:02.309 --> 00:34:05.190
findings highlighted in the sources is that preoperative

00:34:05.190 --> 00:34:08.070
use of opioids, including both prescription and

00:34:08.070 --> 00:34:10.469
non -prescription, is identified as the number

00:34:10.469 --> 00:34:13.010
one predictor of prolonged chronic postoperative

00:34:13.010 --> 00:34:16.469
opioid use. The number one predictor. Yes. Patients

00:34:16.469 --> 00:34:19.170
using opioids before surgery have a four -fold

00:34:19.170 --> 00:34:21.769
increased risk of needing a second opioid prescription

00:34:21.769 --> 00:34:25.519
after discharge. and a staggering 12 -fold increased

00:34:25.519 --> 00:34:28.480
risk of continued opioid use a year or more after

00:34:28.480 --> 00:34:31.019
their total hip arthroplasty compared to opioid

00:34:31.019 --> 00:34:34.159
-naive patients. Furthermore, substance use before

00:34:34.159 --> 00:34:36.179
surgery is also associated with less perceived

00:34:36.179 --> 00:34:38.539
benefit in terms of improvements in pain and

00:34:38.539 --> 00:34:41.039
functional scores after TJA. That's a powerful

00:34:41.039 --> 00:34:43.019
predictor with really long -term implications.

00:34:43.380 --> 00:34:45.159
What strategies are recommended then for addressing

00:34:45.159 --> 00:34:48.920
AUDSED in TJA candidates? The sources emphasize

00:34:48.920 --> 00:34:51.260
the critical role of validated screening tools

00:34:51.260 --> 00:34:54.139
in identifying patients at risk. Tools like the

00:34:54.139 --> 00:34:57.300
Aud8C for alcohol use, the DAS20 for drug use.

00:34:57.800 --> 00:34:59.719
They're recommended and can be administered efficiently

00:34:59.719 --> 00:35:01.900
by any member of the surgical care team. For

00:35:01.900 --> 00:35:04.099
patients with positive screens, further assessment

00:35:04.099 --> 00:35:06.199
to determine the level of dependence is crucial,

00:35:06.659 --> 00:35:09.940
potentially using tools like the CIWAR for alcohol

00:35:09.940 --> 00:35:12.739
withdrawal risk. Patients identified as being

00:35:12.739 --> 00:35:14.760
at high risk of experiencing medically significant

00:35:14.760 --> 00:35:17.039
withdrawal symptoms need medically supervised

00:35:17.039 --> 00:35:19.760
withdrawal protocols before surgery. Abstinence

00:35:19.760 --> 00:35:21.780
is generally recommended, ideally for 3 to 8

00:35:21.780 --> 00:35:23.960
weeks prior to surgery, although the duration

00:35:23.960 --> 00:35:26.619
may need tailoring. Interventions mentioned include

00:35:26.619 --> 00:35:28.980
education, counseling, referral to mutual help

00:35:28.980 --> 00:35:31.639
groups like AA or NA, psychosocial interventions,

00:35:32.159 --> 00:35:34.119
and, when appropriate, pharmacologic treatments.

00:35:34.659 --> 00:35:36.420
Referring patients to the formal four -to -Kate

00:35:36.420 --> 00:35:38.420
Wenk addiction treatment programs is suggested

00:35:38.420 --> 00:35:41.280
for those with more severe dependence. A recurring

00:35:41.280 --> 00:35:43.440
and vital theme here, consistent with other areas

00:35:43.440 --> 00:35:45.860
of optimization for vulnerable populations, is

00:35:45.860 --> 00:35:48.219
the crucial role of a supportive care team. nurse

00:35:48.219 --> 00:35:51.000
navigators, primary care physicians, social workers,

00:35:51.320 --> 00:35:53.340
addiction counselors, working collaboratively

00:35:53.340 --> 00:35:56.110
with the patient. Right, that team approach again.

00:35:56.309 --> 00:35:58.730
This multidisciplinary support is essential for

00:35:58.730 --> 00:36:01.269
monitoring progress, providing encouragement

00:36:01.269 --> 00:36:03.769
during the challenging process of achieving abstinence

00:36:03.769 --> 00:36:07.230
or reducing use, and critically, ensuring patients

00:36:07.230 --> 00:36:09.530
don't feel abandoned or penalized by the surgical

00:36:09.530 --> 00:36:12.510
team due to their substance use issues. Shared

00:36:12.510 --> 00:36:14.469
decision making involving the patient and the

00:36:14.469 --> 00:36:17.150
plan is highlighted as important for fostering

00:36:17.150 --> 00:36:20.050
buy -in and adherence. For patients with a history

00:36:20.050 --> 00:36:23.010
of recent non -prescription drug use, toxicology

00:36:23.010 --> 00:36:25.070
screens are recommended to inform management.

00:36:25.849 --> 00:36:27.710
Communication with the patient's primary care

00:36:27.710 --> 00:36:30.530
provider or existing addiction clinics is essential.

00:36:31.050 --> 00:36:33.570
For positive marijuana tests, while not necessarily

00:36:33.570 --> 00:36:36.630
a hard stop unless a significant anesthesia risk,

00:36:37.150 --> 00:36:39.449
the sources suggest this should prompt a conversation.

00:36:40.190 --> 00:36:42.289
About reducing or eliminating use, immediately

00:36:42.289 --> 00:36:44.610
pre -opt to minimize potential respiratory effects

00:36:44.610 --> 00:36:47.440
or interactions. It sounds like a far more involved

00:36:47.440 --> 00:36:49.980
process than simply asking about substance use.

00:36:50.300 --> 00:36:52.460
It really requires building trust and a robust

00:36:52.460 --> 00:36:54.659
support system around the patient. Absolutely.

00:36:54.900 --> 00:36:57.199
It's about treating the underlying disorder and

00:36:57.199 --> 00:37:00.360
providing a pathway to surgical readiness rather

00:37:00.360 --> 00:37:03.940
than just creating another barrier to care. Let's

00:37:03.940 --> 00:37:06.849
look at oral health next. This might seem less

00:37:06.849 --> 00:37:09.210
directly related to a knee or hip replacement,

00:37:09.550 --> 00:37:11.929
perhaps, but the sources bring it up in the context

00:37:11.929 --> 00:37:14.909
of surgical risk and disparities. It does indeed.

00:37:15.429 --> 00:37:17.769
Poor oral health is a significant issue in the

00:37:17.769 --> 00:37:19.789
U .S. generally. But the source has highlighted

00:37:19.789 --> 00:37:22.090
significantly more common in African -Americans,

00:37:22.710 --> 00:37:24.949
Hispanics, and other racial and ethnic minority

00:37:24.949 --> 00:37:28.010
groups. They cite alarming statistics, like almost

00:37:28.010 --> 00:37:30.289
one in five low -income adults reporting their

00:37:30.289 --> 00:37:33.110
mouth and teeth being in poor condition. A major

00:37:33.110 --> 00:37:35.269
systemic barrier contributing to these disparities

00:37:35.269 --> 00:37:38.750
is access to dental care. Nearly a third, 29

00:37:38.750 --> 00:37:41.829
% of Americans, lack dental insurance. How does

00:37:41.829 --> 00:37:44.090
the state of a patient's oral health specifically

00:37:44.090 --> 00:37:46.269
link to the risks of total joint arthroplasty?

00:37:46.329 --> 00:37:48.519
What's the connection? The primary concern is

00:37:48.519 --> 00:37:50.179
that active infections anywhere in the body,

00:37:50.599 --> 00:37:52.760
including the mouth, are considered a potential

00:37:52.760 --> 00:37:55.340
risk factor for periprosthetic joint infection,

00:37:55.820 --> 00:37:59.119
PGI. As we've discussed, PGI is one of the most

00:37:59.119 --> 00:38:01.760
feared, expensive complications of arthroplasty,

00:38:02.199 --> 00:38:04.360
often requiring complex, prolonged treatments,

00:38:04.800 --> 00:38:07.099
sometimes multiple surgeries. The forces list

00:38:07.099 --> 00:38:09.440
several risk factors for significant dental problems

00:38:09.440 --> 00:38:11.599
relevant to surgical planning. a patient reporting

00:38:11.599 --> 00:38:13.960
pain or symptoms from their teeth gums, current

00:38:13.960 --> 00:38:16.659
tobacco or narcotic use, a recent dental visit

00:38:16.659 --> 00:38:19.099
due to symptoms, a history of root canal treatment.

00:38:19.760 --> 00:38:21.619
Conversely, having regular dental care seems

00:38:21.619 --> 00:38:23.739
protective. This raises a pertinent question,

00:38:23.840 --> 00:38:26.079
doesn't it? Is formal dental clearance often

00:38:26.079 --> 00:38:28.280
required before other types of surgery like heart

00:38:28.280 --> 00:38:31.019
surgery truly necessary or beneficial before

00:38:31.019 --> 00:38:34.260
TJA? What do the sources say? This is where the

00:38:34.260 --> 00:38:36.780
sources reveal a surprising degree of ambiguity.

00:38:37.280 --> 00:38:40.039
Lack of consensus in the existing literature

00:38:40.039 --> 00:38:42.380
and clinical practice. They mentioned studies

00:38:42.380 --> 00:38:44.900
that have questioned the necessity, or even the

00:38:44.900 --> 00:38:48.099
benefit, of routine preoperative tooth extractions

00:38:48.099 --> 00:38:52.280
specifically to prevent PGI. Intriguingly, one

00:38:52.280 --> 00:38:54.659
study they cite found that patients who underwent

00:38:54.659 --> 00:38:57.659
tooth extractions immediately before their arthroplasty

00:38:57.659 --> 00:39:00.199
actually experienced a higher rate of overall

00:39:00.199 --> 00:39:03.380
perioperative complications. Although this study

00:39:03.380 --> 00:39:06.500
did not find an increased risk of PGI specifically

00:39:06.500 --> 00:39:08.860
in those who had extractions. Higher complications.

00:39:08.940 --> 00:39:11.800
That's counterintuitive. It is. This ambiguity

00:39:11.800 --> 00:39:13.719
leads the authors of the Oral Health article

00:39:13.719 --> 00:39:16.260
to question whether mandating preoperative dental

00:39:16.260 --> 00:39:18.260
extraction for all patients with potential issues

00:39:18.260 --> 00:39:21.320
is genuinely warranted or beneficial based on

00:39:21.320 --> 00:39:23.719
current evidence. Supporting this lack of clear

00:39:23.719 --> 00:39:26.119
guidance, the survey of the seven orthopedic

00:39:26.119 --> 00:39:28.760
institutions found significant variability, a

00:39:28.760 --> 00:39:31.039
general absence of a defined standard screening

00:39:31.039 --> 00:39:33.900
process or a consistent definition of what constitutes

00:39:33.900 --> 00:39:36.599
adequate dental clearance across these institutions.

00:39:36.659 --> 00:39:40.760
It varied widely. No clear consensus in the evidence

00:39:40.760 --> 00:39:43.340
or in practice regarding mandatory dental clearance

00:39:43.340 --> 00:39:46.320
before TJA. What are the practical challenges

00:39:46.320 --> 00:39:48.260
involved then in getting patients the dental

00:39:48.260 --> 00:39:50.239
care they might need, particularly those facing

00:39:50.239 --> 00:39:52.780
disparities? Referrals for dental care are often

00:39:52.780 --> 00:39:54.880
challenging, precisely due to the barriers we

00:39:54.880 --> 00:39:57.900
just mentioned. Insurance coverage issues, the

00:39:57.900 --> 00:40:00.559
direct cost of treatment, simply lack of access

00:40:00.559 --> 00:40:02.840
to dental providers, particularly for patients

00:40:02.840 --> 00:40:05.989
in underserved areas. The sources suggest social

00:40:05.989 --> 00:40:08.110
workers or nurse navigators can play a crucial

00:40:08.110 --> 00:40:11.170
role here, guiding patients to available resources.

00:40:12.190 --> 00:40:14.230
They mention options like free dental clinics,

00:40:14.489 --> 00:40:16.889
clinics affiliated with academic centers or dental

00:40:16.889 --> 00:40:19.650
schools, government or local health department

00:40:19.650 --> 00:40:23.449
resources, or utilizing online tools like the

00:40:23.449 --> 00:40:25.989
Neighborhood Navigator website, which helps locate

00:40:25.989 --> 00:40:28.670
local resources for various social needs, including

00:40:28.670 --> 00:40:31.789
dental care. For smaller orthopedic practices,

00:40:31.989 --> 00:40:34.449
or those in rural areas, developing their own

00:40:34.449 --> 00:40:36.570
network of local dental providers willing and

00:40:36.570 --> 00:40:38.670
able to see these patients quickly is essential.

00:40:39.449 --> 00:40:41.989
Crucially, the authors explicitly raise an ethical

00:40:41.989 --> 00:40:44.949
consideration related to this ambiguity. Given

00:40:44.949 --> 00:40:46.989
the lack of strong evidence definitively proving

00:40:46.989 --> 00:40:49.289
the necessity and benefit of routine pre -op

00:40:49.289 --> 00:40:52.489
dental extraction for preventing PGI, they argue

00:40:52.489 --> 00:40:54.670
that creating another absolute requirement or

00:40:54.670 --> 00:40:57.230
hard stop like mandatory dental clearance might

00:40:57.230 --> 00:40:59.809
not be warranted. They highlight that inflexible

00:40:59.809 --> 00:41:02.969
criteria, like strict BMI limits, have already

00:41:02.969 --> 00:41:06.010
adversely affected access to TJA for disadvantaged

00:41:06.010 --> 00:41:09.090
populations. Their concern is that imposing an

00:41:09.090 --> 00:41:11.670
uncertain requirement like mandatory dental clearance,

00:41:12.130 --> 00:41:14.090
especially given the access barriers to dental

00:41:14.090 --> 00:41:16.510
care for vulnerable groups, could inadvertently

00:41:16.510 --> 00:41:19.010
create yet another hurdle, one that disproportionately

00:41:19.010 --> 00:41:21.590
impacts these patients, potentially leading to

00:41:21.590 --> 00:41:23.969
unnecessary surgical delays or cancellations

00:41:23.969 --> 00:41:26.650
and widening existing disparities in access.

00:41:27.039 --> 00:41:29.400
That powerfully mirrors the point about strict

00:41:29.400 --> 00:41:31.619
cutoffs we discussed earlier with smoking and

00:41:31.619 --> 00:41:34.320
BMI. It seems the focus needs to be on improving

00:41:34.320 --> 00:41:36.940
access to dental care for overall health rather

00:41:36.940 --> 00:41:39.380
than potentially using it as an arbitrary barrier

00:41:39.380 --> 00:41:41.960
to surgery. Precisely. It underscores the need

00:41:41.960 --> 00:41:43.880
for integrated health systems where patients

00:41:43.880 --> 00:41:46.900
can access comprehensive care rather than encountering

00:41:46.900 --> 00:41:49.440
silos that become obstacles. Let's look at two

00:41:49.440 --> 00:41:52.519
infectious diseases often linked to stigma, HIV

00:41:52.519 --> 00:41:55.500
and hepatitis C. How do these conditions factor

00:41:55.500 --> 00:41:58.300
into the TJA landscape, and are there disparities

00:41:58.300 --> 00:42:00.360
and prevalence here, too? These are important

00:42:00.360 --> 00:42:02.480
conditions to address, not least because they

00:42:02.480 --> 00:42:05.619
can carry significant social stigma, which, as

00:42:05.619 --> 00:42:07.579
the sources point out, can act as an additional

00:42:07.579 --> 00:42:09.940
barrier for patients seeking health care, including

00:42:09.940 --> 00:42:12.539
surgery. The sources state that an estimated

00:42:12.539 --> 00:42:16.320
1 .2 million Americans are living with HIV. Sadly,

00:42:16.679 --> 00:42:18.599
African Americans and Hispanics account for the

00:42:18.599 --> 00:42:21.099
largest proportion of both new diagnoses and

00:42:21.099 --> 00:42:24.329
people living with HIV. For hepatitis C, rates

00:42:24.329 --> 00:42:26.289
have been increasing, affecting an estimated

00:42:26.289 --> 00:42:28.670
five to seven million individuals in the U .S.

00:42:28.989 --> 00:42:31.309
Over half of those infected are unaware of their

00:42:31.309 --> 00:42:34.090
status. Hepatitis C infections are highest in

00:42:34.090 --> 00:42:36.349
African Americans, and chronic infection rates

00:42:36.349 --> 00:42:39.010
highest in foreign -born individuals. So, clear

00:42:39.010 --> 00:42:41.230
and significant disparities exist in both HIV

00:42:41.230 --> 00:42:43.590
and hepatitis C prevalence, and both can carry

00:42:43.590 --> 00:42:46.530
stigma. What are the surgical implications for

00:42:46.530 --> 00:42:49.190
a patient with HIV or hepatitis C needing a joint

00:42:49.190 --> 00:42:52.409
replacement? For HIV -positive patients, particularly

00:42:52.409 --> 00:42:55.409
those with other complex comorbidities, the sources

00:42:55.409 --> 00:42:57.670
note they are at an elevated risk for post -op

00:42:57.670 --> 00:43:00.869
complications. Historically, HIV was associated

00:43:00.869 --> 00:43:04.269
with very high infection rates after TJA. But

00:43:04.269 --> 00:43:05.929
the authors are careful to point out that many

00:43:05.929 --> 00:43:08.599
early studies were confounded. A large proportion

00:43:08.599 --> 00:43:10.860
of HIV -positive patients also had a history

00:43:10.860 --> 00:43:13.460
of intravenous drug use, itself a major risk

00:43:13.460 --> 00:43:15.719
factor for infection. Right, a confounding factor.

00:43:16.059 --> 00:43:18.079
However, the recent evidence cited in the article

00:43:18.079 --> 00:43:20.679
provides a more nuanced picture. It suggests

00:43:20.679 --> 00:43:22.980
that with proper medical management, using effective

00:43:22.980 --> 00:43:26.079
antiretroviral therapy, ARVs, to control a virus,

00:43:26.440 --> 00:43:28.940
and with diligent optimization of any associated

00:43:28.940 --> 00:43:32.460
comorbidities, the risk of PJI in HIV -positive

00:43:32.460 --> 00:43:35.539
patients is only slightly elevated, or may even

00:43:35.539 --> 00:43:38.019
be similar to the general population. This is

00:43:38.019 --> 00:43:39.739
particularly true if their immune parameters,

00:43:39.820 --> 00:43:43.360
specifically a CD4 count above 200 and an undetectable

00:43:43.360 --> 00:43:46.380
or very low viral load, are well managed. The

00:43:46.380 --> 00:43:48.940
article does add a caution, however. Achieving

00:43:48.940 --> 00:43:50.800
these optimal immune parameters isn't always

00:43:50.800 --> 00:43:53.019
possible for every patient, and the direct evidence

00:43:53.019 --> 00:43:55.340
proving that optimizing these specific lab values

00:43:55.340 --> 00:43:58.400
definitively reduces TJA complications isn't

00:43:58.400 --> 00:44:00.500
uniformly strong. Interestingly, the article

00:44:00.500 --> 00:44:02.820
also points out that the very ARV medications

00:44:02.820 --> 00:44:05.900
used to treat HIV are associated with the significantly

00:44:05.900 --> 00:44:08.380
increased incidence of hip osteonecrosis, up

00:44:08.380 --> 00:44:11.239
to 100 times higher in some reports. This directly

00:44:11.239 --> 00:44:13.539
contributes to the demand for total hip arthroplasty

00:44:13.539 --> 00:44:15.699
within the HIV -positive patient population.

00:44:16.300 --> 00:44:18.579
For hepatitis C, the sources state that infection

00:44:18.579 --> 00:44:20.559
also increases the risk of surgical complications

00:44:20.559 --> 00:44:23.420
after TJA. But importantly, they note that these

00:44:23.420 --> 00:44:25.980
increased risks tend to normalize when patients

00:44:25.980 --> 00:44:28.679
are successfully screened and treated for hepatitis

00:44:28.679 --> 00:44:31.440
C before their surgery. That's a crucial distinction.

00:44:31.579 --> 00:44:33.880
Treatment normalizes the surgical risk for hepatitis

00:44:33.880 --> 00:44:36.920
C. That's really positive. What about optimization

00:44:36.920 --> 00:44:39.559
strategies for both HIV and hepatitis C patients

00:44:39.559 --> 00:44:42.139
preparing for TJA? Preoperative screening is

00:44:42.139 --> 00:44:44.139
highlighted as a key opportunity to identify

00:44:44.139 --> 00:44:46.699
patients unaware of their status. Especially

00:44:46.699 --> 00:44:49.699
since CDC guidelines recommend routine HIV screening

00:44:49.699 --> 00:44:53.260
for adults 13 -64 and screening for hep C in

00:44:53.260 --> 00:44:56.599
all adults 18 -plus at least once, HHS guidelines

00:44:56.599 --> 00:44:58.940
also recommend testing HCV -positive patients

00:44:58.940 --> 00:45:02.300
for HIV. Once identified, optimization requires

00:45:02.300 --> 00:45:05.300
a comprehensive multidisciplinary strategy. This

00:45:05.300 --> 00:45:07.539
focuses on ensuring the patient's HIV treatment

00:45:07.539 --> 00:45:09.880
is optimized, reducing viral load, improving

00:45:09.880 --> 00:45:12.420
immune function, and that hepatitis C is treated

00:45:12.420 --> 00:45:15.010
and cured if possible. while also rigorously

00:45:15.010 --> 00:45:17.510
managing any associated comorbidities, which

00:45:17.510 --> 00:45:19.449
would be complex, for example liver disease and

00:45:19.449 --> 00:45:21.849
HCV, or cardiovascular renal issues, often seen

00:45:21.849 --> 00:45:24.869
with long -term ARVs. The sources identify dedicated

00:45:24.869 --> 00:45:27.190
HIV clinics, often run by infectious disease

00:45:27.190 --> 00:45:30.190
services, and integrated care models, like multidisciplinary

00:45:30.190 --> 00:45:32.210
teams co -located within community health centers,

00:45:32.289 --> 00:45:33.969
as being vital for effectively managing these

00:45:33.969 --> 00:45:36.510
patients. These models often include skilled

00:45:36.510 --> 00:45:38.530
care coordinators or patient navigators. They're

00:45:38.530 --> 00:45:40.329
absolutely crucial for linking patients to ongoing

00:45:40.329 --> 00:45:42.789
infectious disease care, ensuring access to and

00:45:42.789 --> 00:45:44.869
compliance with treatment regimens and addressing

00:45:44.869 --> 00:45:47.309
complex psychosocial factors that might act as

00:45:47.309 --> 00:45:50.230
barriers, missed appointments, adherence issues,

00:45:50.710 --> 00:45:53.090
social support challenges. That support network

00:45:53.090 --> 00:45:56.179
seems key again. Absolutely. The article also

00:45:56.179 --> 00:45:58.639
mentions valuable resources for clinicians seeking

00:45:58.639 --> 00:46:00.780
guidance, like the Hepatitis Technical Assistance

00:46:00.780 --> 00:46:04.380
Center, Hepatitis C online course, and the NCCC

00:46:04.380 --> 00:46:07.260
Consultation Service at UCSF. That integrated

00:46:07.260 --> 00:46:09.480
approach, recognizing the medical complexity

00:46:09.480 --> 00:46:12.059
and the social factors like stigma, sounds absolutely

00:46:12.059 --> 00:46:15.039
essential. Let's move on to mental health, another

00:46:15.039 --> 00:46:17.300
complex area. Mental illness is a widespread

00:46:17.300 --> 00:46:20.190
health issue. affects approximately 20 .6 % of

00:46:20.190 --> 00:46:22.889
U .S. adults in any given year. High lifetime

00:46:22.889 --> 00:46:26.369
prevalence rates for depression, 17%, and anxiety

00:46:26.369 --> 00:46:29.730
disorders, 29%. The sources note women tend to

00:46:29.730 --> 00:46:31.610
be more affected than men. And how does this

00:46:31.610 --> 00:46:33.670
relate back to disparities? Is there a link?

00:46:34.030 --> 00:46:37.030
Again, the sources draw a clear connection. They

00:46:37.030 --> 00:46:39.369
state that racial and ethnic minorities experience

00:46:39.369 --> 00:46:42.269
disproportionate levels of discrimination, which

00:46:42.269 --> 00:46:44.469
is linked to higher rates of depression, anxiety,

00:46:44.949 --> 00:46:47.909
general psychological distress. African Americans

00:46:47.909 --> 00:46:49.909
in particular are identified as being more likely

00:46:49.909 --> 00:46:52.510
to experience chronic depression, have more severe

00:46:52.510 --> 00:46:54.789
symptoms when depressed, and face significant

00:46:54.789 --> 00:46:56.889
challenges accessing mental health treatment.

00:46:57.670 --> 00:46:59.969
Lower socioeconomic status is also consistently

00:46:59.969 --> 00:47:02.030
associated with worse mental health outcomes.

00:47:02.469 --> 00:47:04.550
How does a patient's preoperative mental health

00:47:04.550 --> 00:47:06.869
influence their experience and outcomes related

00:47:06.869 --> 00:47:09.909
to TJA surgery? Does it make a difference? The

00:47:09.909 --> 00:47:12.050
sources indicate that a patient's mental health

00:47:12.050 --> 00:47:15.130
status going into surgery does correlate with

00:47:15.130 --> 00:47:17.800
outcomes. although the relationship is nuanced.

00:47:18.659 --> 00:47:20.719
Better preoperative mental health is generally

00:47:20.719 --> 00:47:25.119
associated with improved post -op outcomes. Conversely,

00:47:25.519 --> 00:47:27.619
poor preoperative mental health is linked to

00:47:27.619 --> 00:47:29.739
worse functional outcomes, how well they can

00:47:29.739 --> 00:47:32.619
move, perform daily activities at both one year

00:47:32.619 --> 00:47:35.909
and five years after TJA. However, and this is

00:47:35.909 --> 00:47:37.889
an important distinction highlighted, patients

00:47:37.889 --> 00:47:40.769
with poor pre -op mental health still demonstrate

00:47:40.769 --> 00:47:42.809
equal improvement in their functional outcomes

00:47:42.809 --> 00:47:45.389
after surgery compared to those with better mental

00:47:45.389 --> 00:47:47.889
health. Ah, okay, so they still improve just

00:47:47.889 --> 00:47:50.610
maybe from a lower starting point. Exactly. It

00:47:50.610 --> 00:47:53.230
suggests the surgery itself is equally effective

00:47:53.230 --> 00:47:55.730
at improving function, regardless of baseline

00:47:55.730 --> 00:47:58.449
mental health, though the starting point and

00:47:58.449 --> 00:48:00.630
potentially the peak level achieved might differ.

00:48:01.050 --> 00:48:03.429
Mental health disorders are also associated with

00:48:03.429 --> 00:48:07.050
specific post -op complications. Psychosis, anemia,

00:48:07.369 --> 00:48:10.130
infection, pulmonary embolism. They're linked

00:48:10.130 --> 00:48:12.829
to prolonged hospital stays, higher rates of

00:48:12.829 --> 00:48:14.789
non -routine discharge, like needing skilled

00:48:14.789 --> 00:48:18.869
nursing, higher overall hospital charges. Interestingly,

00:48:19.250 --> 00:48:22.090
the sources note that mental health scores, particularly

00:48:22.090 --> 00:48:25.030
related to depression, often improve significantly

00:48:25.030 --> 00:48:28.070
after TJA. Really? Yes. The authors hypothesize

00:48:28.070 --> 00:48:30.170
this improvement is likely a direct result of

00:48:30.170 --> 00:48:31.929
the significant reduction in physical disability

00:48:31.929 --> 00:48:34.530
and pain afforded by the successful joint replacement

00:48:34.530 --> 00:48:36.559
surgery. That makes intuitive sense, doesn't

00:48:36.559 --> 00:48:38.619
it? Reducing chronic pain, restoring mobility

00:48:38.619 --> 00:48:40.619
would likely have a positive impact on mood,

00:48:40.920 --> 00:48:43.219
overall well -being. What about strategies for

00:48:43.219 --> 00:48:45.099
optimizing mental health in the preoperative

00:48:45.099 --> 00:48:47.760
period? Is much being done? The survey of orthopedic

00:48:47.760 --> 00:48:50.219
institutions revealed, similar to many other

00:48:50.219 --> 00:48:53.940
areas, wide variability. A general lack of consistent,

00:48:54.320 --> 00:48:56.119
structured, preoperative mental health screening.

00:48:56.920 --> 00:48:58.920
One institution reported using the Promise 10

00:48:58.920 --> 00:49:01.949
tool, a standardized questionnaire. But most

00:49:01.949 --> 00:49:04.329
didn't have a formal screening process in place,

00:49:04.750 --> 00:49:07.349
although they often recognized this as a significant

00:49:07.349 --> 00:49:10.150
gap. While studies clearly show an association

00:49:10.150 --> 00:49:12.750
between pre -op mental health and outcomes, the

00:49:12.750 --> 00:49:15.010
sources state they couldn't identify clear research,

00:49:15.489 --> 00:49:17.650
specifically demonstrating the efficacy of structured

00:49:17.650 --> 00:49:20.750
pre -op mental health optimization programs specifically

00:49:20.750 --> 00:49:23.369
for TJA patients in improving surgical outcomes.

00:49:24.139 --> 00:49:26.320
However, based on general medical principles,

00:49:26.719 --> 00:49:28.820
treating identifiable poor mental health before

00:49:28.820 --> 00:49:31.320
an elective surgery like TJA seems logically

00:49:31.320 --> 00:49:34.239
beneficial, and should ideally be managed probably

00:49:34.239 --> 00:49:36.739
by the patient's primary care physician or another

00:49:36.739 --> 00:49:39.559
non -orthopedic provider. Addressing depression

00:49:39.559 --> 00:49:42.360
or anxiety takes time. Antidepressants, for example,

00:49:42.440 --> 00:49:44.340
can take four to six weeks for acute improvement,

00:49:44.820 --> 00:49:46.460
potentially four to six months or longer for

00:49:46.460 --> 00:49:48.619
chronic depression. Building a trusting relationship

00:49:48.619 --> 00:49:50.820
with a primary care provider is highlighted as

00:49:50.820 --> 00:49:53.539
particularly important, especially for what the

00:49:53.539 --> 00:49:56.659
sources call low activation patients, those facing

00:49:56.659 --> 00:49:58.699
greater challenges engaging with health care.

00:49:59.320 --> 00:50:01.119
Routine mental health screening within primary

00:50:01.119 --> 00:50:03.639
care allows for earlier identification and treatment,

00:50:04.059 --> 00:50:06.119
potentially impacting readiness for future TJA.

00:50:06.860 --> 00:50:08.860
The sources also suggest orthosurgeons should

00:50:08.860 --> 00:50:11.159
consider screening if they suspect issues aren't

00:50:11.159 --> 00:50:14.889
being addressed by the PCP. Finally, The articles

00:50:14.889 --> 00:50:17.269
point out a lack of formalized processes for

00:50:17.269 --> 00:50:19.869
assessing a patient's social support system across

00:50:19.869 --> 00:50:22.789
institutions, despite it being universally evaluated

00:50:22.789 --> 00:50:25.550
informally. This suggests a need for validated

00:50:25.550 --> 00:50:27.469
tools or structured approaches to better understand

00:50:27.469 --> 00:50:29.809
a patient's support network crucial for mental

00:50:29.809 --> 00:50:33.429
well -being and post -up recovery. So a recognized

00:50:33.429 --> 00:50:36.250
need for better screening and optimization, perhaps

00:50:36.250 --> 00:50:38.469
integrated more effectively with primary care.

00:50:38.730 --> 00:50:40.869
while acknowledging that the surgery itself can

00:50:40.869 --> 00:50:43.150
offer a significant mental health benefit by

00:50:43.150 --> 00:50:45.550
alleviating physical pain. Finally, let's tackle

00:50:45.550 --> 00:50:48.849
housing insecurity. This feels like such a fundamental

00:50:48.849 --> 00:50:51.070
social determinant. It could present a massive,

00:50:51.230 --> 00:50:53.809
almost overwhelming barrier to accessing elective

00:50:53.809 --> 00:50:56.409
surgery. It absolutely is a fundamental social

00:50:56.409 --> 00:50:58.690
determinant. And the sources are quite direct

00:50:58.690 --> 00:51:01.789
about its impact. Housing insecurity, lack of

00:51:01.789 --> 00:51:04.949
stable, safe, affordable housing affects a significant

00:51:04.949 --> 00:51:07.469
portion of the U .S. population, estimated 10

00:51:07.469 --> 00:51:10.739
-15%. And it disproportionately impacts low -income

00:51:10.739 --> 00:51:13.260
individuals, racial minorities, unmarried people.

00:51:13.559 --> 00:51:15.960
And the sources describe a kind of cyclic relationship

00:51:15.960 --> 00:51:18.039
between health conditions like osteoarthritis

00:51:18.039 --> 00:51:20.519
and housing insecurity. Yes, they describe it

00:51:20.519 --> 00:51:24.039
as an inexorable, cyclic, often structurally

00:51:24.039 --> 00:51:27.420
reinforced relationship. The chronic pain, disability

00:51:27.420 --> 00:51:30.360
from severe osteoarthritis, directly affect a

00:51:30.360 --> 00:51:33.519
person's ability to work, earn income, which

00:51:33.519 --> 00:51:36.019
impacts their ability to secure, maintain stable

00:51:36.019 --> 00:51:38.989
housing. Conversely, chronic illness generally

00:51:38.989 --> 00:51:41.510
can make it harder to maintain housing, and housing

00:51:41.510 --> 00:51:43.969
instability itself creates significant barriers

00:51:43.969 --> 00:51:46.489
to accessing consistent health care following

00:51:46.489 --> 00:51:49.409
treatment plans, ultimately negatively impacting

00:51:49.409 --> 00:51:52.230
overall health status. This raises a crucial

00:51:52.230 --> 00:51:54.710
ethical and practical question which the source

00:51:54.710 --> 00:51:57.369
directly addresses. Should housing insecurity

00:51:57.369 --> 00:52:00.010
be allowed to be a barrier to necessary surgery?

00:52:00.389 --> 00:52:02.809
And the answer, unequivocally stated in the sources,

00:52:03.070 --> 00:52:05.800
is no. They state forcefully that while housing

00:52:05.800 --> 00:52:08.099
insecurity is currently an imposed barrier to

00:52:08.099 --> 00:52:10.780
surgery for many patients, based on traditional

00:52:10.780 --> 00:52:13.280
discharge planning assumptions, it absolutely

00:52:13.280 --> 00:52:15.599
should not be. That's a powerful statement. What

00:52:15.599 --> 00:52:17.539
kind of creative solutions are mentioned, then,

00:52:17.659 --> 00:52:19.760
to address this barrier and ensure patients can

00:52:19.760 --> 00:52:22.460
still access TJA even if they lack stable housing?

00:52:22.699 --> 00:52:25.099
The sources list several examples of creative,

00:52:25.400 --> 00:52:27.420
compassionate solutions that exist or could be

00:52:27.420 --> 00:52:29.860
implemented. These include advocating for insurance

00:52:29.860 --> 00:52:32.679
company waivers to cover temporary post -discharge

00:52:32.679 --> 00:52:35.599
accommodation. leveraging existing community

00:52:35.599 --> 00:52:38.440
resources churches, charities like Meals on Wheels

00:52:38.440 --> 00:52:41.119
providing support, utilizing halfway houses,

00:52:41.619 --> 00:52:44.219
transitional living facilities, or even providing

00:52:44.219 --> 00:52:46.360
temporary housing like covering a short hotel

00:52:46.360 --> 00:52:49.380
stay for initial recovery. The key message is

00:52:49.380 --> 00:52:52.860
that solutions do exist. Healthcare systems providers

00:52:52.860 --> 00:52:55.699
need to actively identify and utilize them rather

00:52:55.699 --> 00:52:57.840
than letting housing status become a reason to

00:52:57.840 --> 00:53:01.119
deny or delay necessary surgery. However, the

00:53:01.119 --> 00:53:03.920
survey of the seven orthopedic institutions highlighted

00:53:03.920 --> 00:53:06.599
a significant gap in current practice here. Only

00:53:06.599 --> 00:53:09.139
two out of the seven surveyed institutions reported

00:53:09.139 --> 00:53:11.260
actively screening for housing insecurity in

00:53:11.260 --> 00:53:13.320
their preoperative assessment process. Only two

00:53:13.320 --> 00:53:16.039
out of seven. Yes. This indicates this critical

00:53:16.039 --> 00:53:18.320
social determinant is being widely missed as

00:53:18.320 --> 00:53:20.889
a potential barrier to care. likely leading to

00:53:20.889 --> 00:53:23.269
unnecessary exclusion of patients. Wow, that

00:53:23.269 --> 00:53:25.809
statistic really underscores how much this fundamental

00:53:25.809 --> 00:53:28.190
social factor is overlooked in standard preoperative

00:53:28.190 --> 00:53:30.889
pathways. It does. And this ties directly into

00:53:30.889 --> 00:53:32.650
the broader discussion around discharge planning.

00:53:33.469 --> 00:53:36.289
The sources strongly emphasize that robust discharge

00:53:36.289 --> 00:53:38.530
planning must be a critical, formalized part

00:53:38.530 --> 00:53:41.150
of the preoperative optimization pathway for

00:53:41.150 --> 00:53:43.889
all patients. But it's particularly vital for

00:53:43.889 --> 00:53:45.989
vulnerable populations who may lack traditional

00:53:45.989 --> 00:53:49.480
home support or stable housing. Care managers

00:53:49.480 --> 00:53:52.260
integrated into the pre -op team need to proactively

00:53:52.260 --> 00:53:54.920
identify potential family or community resources

00:53:54.920 --> 00:53:58.179
before surgery to build a detailed, feasible

00:53:58.179 --> 00:54:01.300
discharge plan. This plan might involve arranging

00:54:01.300 --> 00:54:03.780
post -op rehab in a skilled nursing facility,

00:54:04.239 --> 00:54:06.280
coordinating home health services, facilitating

00:54:06.280 --> 00:54:09.219
outpatient therapy. Identifying resource availability

00:54:09.219 --> 00:54:11.239
and potential barriers like housing and security

00:54:11.239 --> 00:54:13.880
early allows the care team to address these challenges

00:54:13.880 --> 00:54:16.329
proactively. collaborating with community or

00:54:16.329 --> 00:54:18.889
hospital -based resources to ensure a safe, supported

00:54:18.889 --> 00:54:21.389
transition. So instead of letting a lack of stable

00:54:21.389 --> 00:54:23.570
housing be an insurmountable barrier that prevents

00:54:23.570 --> 00:54:25.969
surgery, the approach should be identify it early,

00:54:26.409 --> 00:54:28.289
proactively plan around it with creative solutions

00:54:28.289 --> 00:54:30.889
and robust support systems. Exactly. It requires

00:54:30.889 --> 00:54:33.670
foresight, a commitment to problem -solving,

00:54:33.949 --> 00:54:36.369
viewing it as a solvable challenge requiring

00:54:36.369 --> 00:54:39.670
resources and coordination, rather than an excuse

00:54:39.670 --> 00:54:42.409
to deny access to a life -changing procedure.

00:54:42.639 --> 00:54:44.860
This discussion really brings us full circle,

00:54:45.059 --> 00:54:47.699
doesn't it? We've explored this incredibly complex,

00:54:47.840 --> 00:54:51.619
interconnected web of factors from medical comorbidities

00:54:51.619 --> 00:54:55.659
like cardiovascular disease, CKD, anemia, to

00:54:55.659 --> 00:54:58.400
behavioral factors like smoking, alcohol substance

00:54:58.400 --> 00:55:02.119
use, infectious diseases like HIV, Hep C, mental

00:55:02.119 --> 00:55:05.460
health, and fundamental social determinants like

00:55:05.460 --> 00:55:07.920
access to oral health care and housing insecurity.

00:55:08.250 --> 00:55:11.710
The findings from these JOGAOS articles, particularly

00:55:11.710 --> 00:55:14.489
that survey data, reveal wide variability in

00:55:14.489 --> 00:55:16.630
how these factors are addressed, often a significant

00:55:16.630 --> 00:55:19.530
lack of structured, consistent approaches, especially

00:55:19.530 --> 00:55:21.570
concerning the behavioral and social determinants.

00:55:21.610 --> 00:55:23.590
That's the clear takeaway from the data presented

00:55:23.590 --> 00:55:25.630
across these articles, yes. While orthopedic

00:55:25.630 --> 00:55:27.670
teams recognize some of these risks clinically,

00:55:28.050 --> 00:55:30.750
there's significant room for improvement in standardizing

00:55:30.750 --> 00:55:33.429
and implementing comprehensive pre -optimization

00:55:33.429 --> 00:55:35.690
programs that truly capture this complexity.

00:55:35.980 --> 00:55:38.679
and they consistently reinforce that core message

00:55:38.679 --> 00:55:41.440
introduced at the beginning of the series. Preoperative

00:55:41.440 --> 00:55:43.539
optimization can indeed reduce complications

00:55:43.539 --> 00:55:46.320
and improve access to TJA for underserved patients,

00:55:46.440 --> 00:55:49.119
but this positive impact is contingent on how

00:55:49.119 --> 00:55:51.780
that optimization is approached. Precisely. They

00:55:51.780 --> 00:55:55.000
draw a clear contrast between supportive, patient

00:55:55.000 --> 00:55:57.579
-centered optimization and the use of strict,

00:55:57.980 --> 00:56:00.820
inflexible preoperative cutoffs like rigid BMI

00:56:00.820 --> 00:56:03.820
limits, mandatory unsupported smoking cessation,

00:56:04.159 --> 00:56:06.199
and potentially ill -defined dental clearance

00:56:06.199 --> 00:56:09.579
requirements. They argue these inflexible criteria

00:56:09.679 --> 00:56:12.039
particularly when implemented without adequate

00:56:12.039 --> 00:56:13.960
support for patients to address the underlying

00:56:13.960 --> 00:56:16.639
issues disproportionately affect minority and

00:56:16.639 --> 00:56:19.440
indigent populations. Their concern, supported

00:56:19.440 --> 00:56:21.880
by evidence on outcomes related to BMI cutoffs,

00:56:22.360 --> 00:56:24.360
is that these rigid requirements can be unethical.

00:56:24.480 --> 00:56:27.159
They risk leading to cherry -picking of healthier,

00:56:27.400 --> 00:56:30.199
lower -risk patients, thereby exacerbating existing

00:56:30.199 --> 00:56:32.099
health disparities rather than reducing them.

00:56:32.480 --> 00:56:34.539
So the recommended approach isn't about raising

00:56:34.539 --> 00:56:37.360
the bar higher to exclude patients, is it? It's

00:56:37.360 --> 00:56:39.559
about building a more accessible pathway to health

00:56:39.559 --> 00:56:43.139
for everyone. Yes. The sources strongly advocate

00:56:43.139 --> 00:56:46.199
for flexible programs that truly prioritize the

00:56:46.199 --> 00:56:48.800
individual patient's perspective. their unique

00:56:48.800 --> 00:56:51.460
challenges, the potential benefit they can gain

00:56:51.460 --> 00:56:53.980
from the surgery and the optimization process.

00:56:54.480 --> 00:56:56.179
They highlight essential components for such

00:56:56.179 --> 00:56:59.179
programs to be successful, particularly for vulnerable

00:56:59.179 --> 00:57:02.349
populations. appropriate assistance from dedicated

00:57:02.349 --> 00:57:05.269
nurse navigators, integrated access to a range

00:57:05.269 --> 00:57:08.030
of specialists. This means established referral

00:57:08.030 --> 00:57:10.869
pathways, collaborative relationships with services

00:57:10.869 --> 00:57:13.349
focused on weight management, smoking cessation,

00:57:13.610 --> 00:57:16.090
endocrinology, infectious disease, addiction

00:57:16.090 --> 00:57:18.690
services, psychiatry, social work, all those

00:57:18.690 --> 00:57:20.730
connections. These support systems are deemed

00:57:20.730 --> 00:57:23.190
absolutely vital for helping patients effectively

00:57:23.190 --> 00:57:26.329
address their modifiable risk factors. The argument

00:57:26.329 --> 00:57:28.409
is that well -designed programs with this kind

00:57:28.409 --> 00:57:30.889
of comprehensive support can benefit all patients.

00:57:31.510 --> 00:57:34.010
But crucially, they have the potential to significantly

00:57:34.010 --> 00:57:36.789
decrease health inequities by providing the necessary

00:57:36.789 --> 00:57:39.449
resources for patients who face systemic barriers

00:57:39.449 --> 00:57:41.969
to achieve surgical readiness. That paints a

00:57:41.969 --> 00:57:44.530
powerful vision for healthcare, doesn't it? Where

00:57:44.530 --> 00:57:47.289
optimization is about empowering patients, building

00:57:47.289 --> 00:57:49.809
bridges to care, rather than creating walls based

00:57:49.809 --> 00:57:51.949
on pre -existing health or social challenges.

00:57:52.389 --> 00:57:55.099
It fundamentally shifts the paradigm. from one

00:57:55.099 --> 00:57:58.280
of exclusion based on risk factors to one of

00:57:58.280 --> 00:58:01.059
inclusion through facilitated health improvement

00:58:01.059 --> 00:58:04.340
and equitable support. That makes so much sense.

00:58:04.639 --> 00:58:06.900
And it's such a crucial perspective on how we

00:58:06.900 --> 00:58:09.199
deliver care. We've covered a vast amount of

00:58:09.199 --> 00:58:12.019
ground here, revealing just how deeply interconnected

00:58:12.019 --> 00:58:14.599
a patient's health, their social circumstances,

00:58:15.300 --> 00:58:17.719
access to care are when it comes to something

00:58:17.719 --> 00:58:20.219
like life -changing joint replacement surgery.

00:58:20.510 --> 00:58:22.969
Let's wrap up with a quick lightning round based

00:58:22.969 --> 00:58:24.369
on what we've discussed. Ready when you are.

00:58:24.670 --> 00:58:27.550
If you could recommend one key area for orthopedic

00:58:27.550 --> 00:58:30.869
teams or healthcare systems more broadly to begin

00:58:30.869 --> 00:58:33.550
or significantly improve screening and support

00:58:33.550 --> 00:58:35.630
based on the findings in this material, what

00:58:35.630 --> 00:58:38.769
would it be? Hmm. That's a tough one. But given

00:58:38.769 --> 00:58:40.869
the survey data showing only two out of seven

00:58:40.869 --> 00:58:43.449
institutions actively screened for it, I would

00:58:43.449 --> 00:58:46.070
argue housing and security is a critical, often

00:58:46.070 --> 00:58:49.789
missed area needing immediate attention. precisely

00:58:49.789 --> 00:58:52.789
because the sources state it should not be an

00:58:52.789 --> 00:58:55.730
imposed barrier. Proactive screening connecting

00:58:55.730 --> 00:58:57.969
patients with available resources can make a

00:58:57.969 --> 00:59:00.170
significant difference. That's a powerful choice,

00:59:00.369 --> 00:59:04.380
yes. Is there a single relatively simple low

00:59:04.380 --> 00:59:06.260
-cost intervention highlighted in the sources

00:59:06.260 --> 00:59:08.679
that could have a significant impact, particularly

00:59:08.679 --> 00:59:11.260
in these underserved groups? Yes, I think iron

00:59:11.260 --> 00:59:13.119
supplementation for patients identified with

00:59:13.119 --> 00:59:15.199
iron deficiency anemia, it's very straightforward,

00:59:15.360 --> 00:59:17.940
inexpensive. Correcting anemia preoperatively

00:59:17.940 --> 00:59:20.320
has clear benefits, reducing transfusion needs,

00:59:20.679 --> 00:59:23.139
improving outcomes. It directly addresses a risk

00:59:23.139 --> 00:59:25.099
factor that's treatable with minimal resources.

00:59:25.519 --> 00:59:28.340
Even brief smoking or alcohol cessation counseling

00:59:28.340 --> 00:59:30.989
sessions, while maybe not achieving full abstinence

00:59:30.989 --> 00:59:33.349
alone can be considered low -cost interventions

00:59:33.349 --> 00:59:36.429
that can yield some benefit. Good point. And

00:59:36.429 --> 00:59:38.389
finally, what's one specific resource mentioned

00:59:38.389 --> 00:59:41.530
in these articles that listeners, perhaps clinicians,

00:59:42.030 --> 00:59:43.949
administrators, patient advocates could explore

00:59:43.949 --> 00:59:46.650
further to help address some of these challenges?

00:59:47.210 --> 00:59:49.650
Well, the Neighborhood Navigator website mentioned

00:59:49.650 --> 00:59:52.190
for finding dental resources is actually a broader

00:59:52.190 --> 00:59:55.260
tool. for exploring local social determinants

00:59:55.260 --> 00:59:58.380
of health resources, food banks, housing assistance,

00:59:59.000 --> 01:00:01.219
transport options, more. That can be very useful.

01:00:01.900 --> 01:00:04.239
For clinicians specifically, resources like the

01:00:04.239 --> 01:00:08.320
Hepatitis C online course or the NCC UCSF consultation

01:00:08.320 --> 01:00:10.360
service for complex infectious disease cases

01:00:10.360 --> 01:00:13.159
are valuable tools for improving clinical management.

01:00:13.599 --> 01:00:16.219
Excellent suggestions. So to summarize the key

01:00:16.409 --> 01:00:18.909
actionable takeaways from this deep dive into

01:00:18.909 --> 01:00:22.070
the JOS movement is life series. These sources

01:00:22.070 --> 01:00:24.510
lay bare a complex interconnected web. health

01:00:24.510 --> 01:00:26.730
conditions, social determinants from cardiovascular,

01:00:27.170 --> 01:00:29.210
kidney disease to substance use, oral health

01:00:29.210 --> 01:00:31.030
access, mental health, housing and security,

01:00:31.329 --> 01:00:33.849
all profoundly impacting not just TJA outcomes,

01:00:34.269 --> 01:00:36.409
but a patient's fundamental access to this needed

01:00:36.409 --> 01:00:39.690
surgery. And crucially, they powerfully demonstrate

01:00:39.690 --> 01:00:42.849
how these factors disproportionately affect underserved

01:00:42.849 --> 01:00:46.329
communities, minorities, often as a direct consequence

01:00:46.329 --> 01:00:48.969
of systemic issues. The burden of discrimination

01:00:49.199 --> 01:00:51.639
historical disparities and access to quality

01:00:51.639 --> 01:00:54.739
primary care and resources over a lifetime. The

01:00:54.739 --> 01:00:57.280
takeaway isn't that these patients are Too risky

01:00:57.280 --> 01:01:00.559
for surgery, is it? Instead, the sources argue

01:01:00.559 --> 01:01:02.980
that while preoperative optimization is absolutely

01:01:02.980 --> 01:01:05.900
critical for safety and success, how it's approached

01:01:05.900 --> 01:01:08.679
matters immensely. They issue a strong caution.

01:01:09.219 --> 01:01:11.900
Strict, inflexible cutoffs for modifiable risk

01:01:11.900 --> 01:01:14.179
factors implemented without adequate support

01:01:14.179 --> 01:01:16.039
systems for patients to address these issues

01:01:16.039 --> 01:01:18.699
can actually worsen health disparities, excluding

01:01:18.699 --> 01:01:20.860
patients who may benefit most but face the greatest

01:01:20.860 --> 01:01:23.699
systemic barriers. The path forward, as recommended

01:01:23.699 --> 01:01:25.860
in these articles, involves implementing comprehensive

01:01:25.769 --> 01:01:29.690
flexible, truly patient -centered programs. These

01:01:29.690 --> 01:01:32.949
must include dedicated support mechanisms, particularly

01:01:32.949 --> 01:01:35.269
the invaluable assistance of nurse navigators

01:01:35.269 --> 01:01:38.110
and integrated access to a range of specialists.

01:01:38.789 --> 01:01:40.710
This provides patients with the resources and

01:01:40.710 --> 01:01:43.030
guidance needed to successfully address their

01:01:43.030 --> 01:01:45.710
modifiable risk factors. This is the approach

01:01:45.710 --> 01:01:47.969
that can lead to both better outcomes for individual

01:01:47.969 --> 01:01:50.789
patients and, critically, more equitable access

01:01:50.789 --> 01:01:53.019
to life -changing surgery for everyone. It's

01:01:53.019 --> 01:01:55.659
about shifting the focus, isn't it? From gatekeeping

01:01:55.659 --> 01:01:58.860
to guidance. From barriers to bridges. Thank

01:01:58.860 --> 01:02:01.119
you so much for guiding us through this incredibly

01:02:01.119 --> 01:02:03.380
important body of work. It really highlights

01:02:03.380 --> 01:02:06.239
how essential it is for the orthopedic community,

01:02:06.380 --> 01:02:08.820
and indeed all healthcare providers, to look

01:02:08.820 --> 01:02:11.960
beyond the specific medical procedure. To truly

01:02:11.960 --> 01:02:14.420
embrace the complex reality of our patients'

01:02:14.579 --> 01:02:17.340
lives, the systemic factor shaping their health

01:02:17.340 --> 01:02:20.460
journeys, if we are to move towards genuine health

01:02:20.460 --> 01:02:23.150
equity. If you found this deep dive valuable,

01:02:23.489 --> 01:02:25.349
please do take a moment to rate and share it,

01:02:25.349 --> 01:02:27.570
particularly with colleagues in healthcare who

01:02:27.570 --> 01:02:29.610
might benefit from understanding these critical

01:02:29.610 --> 01:02:31.889
issues in patient care and equitable access.

01:02:32.449 --> 01:02:34.230
It's been a genuine pleasure discussing this

01:02:34.230 --> 01:02:36.710
vital topic and the insights these articles provide.

01:02:36.909 --> 01:02:39.170
And that's our deep dive for today. Join us next

01:02:39.170 --> 01:02:40.090
time on the deep dive.