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Lifestyle andRisk Factors forKnee Arthroplasty: ASouth African Perspective
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. Table 9.1 Summary of parameters dening malnutrition
(World Health Organisation (WHO) 2018; Springer etal.
2017)
Undernutrition Overnutrition
Serum marker
Albumin (g/dL) <3.5 Over-
Total lymphocyte count (cells/mm
Transferrin (μg/dL)
Anthropometry Measure-
BMI (kg/m
BMI Body Mass Index
3
)
2
) <18.5
Measure­ment
<1500 Obesity 30–39.9
<200 Morbid
ment
Classica­tion
weight
obesity
Super obesity
BMI (kg/
2
m
)
25–29.9
40–49.9
>50
tion. However, triceps skinfold and arm muscle circum­ference have been found to correlate with serum albumin.
> The use of either low serum albumin or low serum
transferrin increases the sensitivity and specicity of dening malnutrition, especially as both have been shown to directly predict increased complications (Carli et al. 2019; Huang et al. 2013; Tobert et al.
2018).
edema and suboptimal oxygen tension compromise tis­sue tensile strength and contribute to poor healing with postoperative wound problems and potential wound dehiscence (Blevins etal.
2018; Carli etal. 2019; Greene
etal. 1991; Ryan etal. 2018; Tsantes etal. 2019).
PJI is the most common reason for revision in patients undergoing TKA with undernutrition.
> The risk of supercial skin infections (SSI) is
2–3 times higher in undernourished patients, while
the likelihood of deep PJI rises by 2.3–3.6 times,
respectively.
The likelihood of an early revision within 30days of pri­mary TKA as a result of SSI is tenfold higher in under­nourished patients (Carli etal. 2019; Huang etal. 2013; Schroer etal. 2018). In comparison with other modiable risk factors including anemia, uncontrolled diabetes, nar­cotic and tobacco use, Schroer etal. (2018) showed that undernutrition was associated with the highest rate of 90-day readmissions (Schroer etal. 2018). In addition to PJI, undernutrition is an independent risk factor for renal and neurovascular adverse events and hematoma or seroma formation. Bala etal. (2020) reported signi­cantly more major complications in protein- malnourished patients when compared with a control cohort undergo­ing TJA (Bala etal. 2020). The increase in postoperative complications included more pulmonary embolisms, acute myocardial infarctions, occlusive strokes, and respiratory and heart failures (Courtney etal. 2016).
Markers of nutritional status include blood sample measurements of the following:
5 Zinc 5 Vitamin D 5 Transferrin 5 Albumin 5 Total lymphocyte count
Low preoperative serum albumin is the most accurate predictor of postoperative infective complications.
> Greene etal. (2020) reported that a serum albumin of
<3.5g/dL or a total lymphocyte count of <1500 cells/
3
mm
inferred a seven- and vefold increased risk of
major wound complications after TJA (Greene etal.
1991).
The infective consequences of undernutrition are physi­ologically due to an impaired immune system with a decreased number of lymphocytes. Wound healing is impaired due to the inhibition of collagen synthesis and broblast proliferation. Additionally, increased tissue
Preoperative Optimization
z
The benet of preoperative optimization of the nutri­tional status remains controversial and still a paucity of literature exists. In a randomized prospective study investigating the effect of a multimodal approach to pre­operative nutritional supplementation, Alito and de Aguilar-Nascimento (2016) demonstrated signicantly reduced hospital stay and decreased C-reactive protein (CRP) levels in blood on day 2 postoperatively (Alito and de Aguilar-Nascimento 2016). Nishizaki et al. (2015) demonstrated that preoperative supplementation of β-hydroxy-β-methylbutyrate, L-arginine, and L- glutamine (HMB/Arg/Gln) was protective of quadri­ceps strength at 2weeks postoperatively in 23 random­ized patients undergoing TKA (Nishizaki etal. 2015). Cao etal. (2017) reported a decreased length of hospital stays and lower rates of wound ooze in patients who had received carbohydrate and protein nutritional supple­mentation preoperatively (Cao et al. 2017). Various studies have been conducted on nutritional supplemen­tation; however, neither a standardized management protocol nor parameters indicative of effective treat­ment are yet to be established.
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9.5 Overnutrition
In a comparison of obese (BMI > 30 kg/m
) and
non-obese (BMI<30kg/m2) patients undergoing TKA,
In 2017, obesity affected approximately 58% of adults worldwide, with regional estimates exceeding 70% for the USA, Chile, and Mexico, respectively (Organisation for Economic Co-operation and Development (OECD)
2019). In many countries in Africa, a similar develop-
ment is emerging. Obesity is classied according to BMI with recent additions of subclassications for severe obesity including morbid obesity and super obesity
Järvenpää etal. (2012) demonstrated signicantly more postoperative complications in the obese group (Järven­pää et al. 2012). In a review of 1.7 million TKAs, D’Apuzzo etal. (2015) proved that morbid obesity was an independent risk factor for perioperative complica­tions (D’Apuzzo etal. 2015). Additionally, having con­trolled for age, sex, and 28 other medical co-morbidities, morbid obesity resulted in the following:
(. Table9.1). The incidence of morbidly obese patients is rising with an increase of 70% between 2000 and 2010 and now accounts for approximately 7% of people in the USA (Springer et al. 2017; Sturm 2007; Sturm and Hattori 2013). A direct correlation exists between obe­sity and the development of osteoarthritis (OA) of the knee. Obese patients are 3–5times more likely to suffer
5 Prolonged operating times 5 Increased component malpositioning 5 Limited postoperative rehabilitation 5 Increased likelihood of wound dehiscence 5 Higher hospital costs 5 Longer hospital stay (D’Apuzzo etal. 2015)
from knee OA than normal or overweight patients (Odum et al. 2013; Werner et al. 2015a). It has been shown that a 4% increase in the incidence of OA exists
9
with each unit increase in age-adjusted BMI. (Bagsby
Furthermore, a dose-dependent relationship exists between obesity and an increased rate of complications after TKA.
etal. 2016; Sahyoun etal. 1999)
> Each unit increase of BMI infers an additional 8%
> Subsequently, approximately, 80–95% of patients for
TKA are overweight or obese (Changulani etal. 2008; Pellegrini etal. 2017).
risk of surgically related complications (Dowsey etal.
2010).
This is both a consequence of obesity itself and the
In addition, the likelihood of obese patients requiring subsequent contralateral TKA is also signicant. The need for contralateral TKA after unilateral TKA is 37% within 10years in obese patients (McMahon and Block
2003; Zeni et al. 2010). In a 2018 review of 85,616
patients, obesity and index TKA were the strongest pre­dictors of the 23.6% of patients requiring contralateral joint replacement 5–8years later (Lamplot etal. 2018).
increased incidence of associated co-morbidities linked to obesity. The highest rate of adverse events following TKA subsequently occurs in super-obese patients (BMI>50kg/m2). The complication rate in super-obese patients is not only double that of morbidly obese patients and four times more signicant than non-obese patients, it is even higher than those patients undergoing revision TKA (Werner etal. 2015a).
9.5.1 Associated Risks
Obesity infers a higher risk of perioperative complica­tions including the following:
5 Increased intraoperative blood loss 5 Increased incidence of medial collateral ligament
avulsions
5 Higher risk of PJI 5 Thrombotic events 5 Falls 5 Early failures 5 Subsequent TKA revision surgery (Alvi etal. 2015;
Gillespie and Porteous 2007; Mantilla et al. 2003; Memtsoudis etal. 2009; Winiarsky etal. 1998)
> Prosthetic longevity may be compromised in obese
patients due to exaggerated stresses on the underlying
bone and implant material (Ayyar etal. 2012; Bagsby
etal. 2016).
Implanted prostheses undergo greater mechanical strains in patients with higher BMI resulting in increased wear, poorer survivorship, and a higher demand for sub­sequent revision TKA for aseptic loosening. Implant survival is compromised in both primary and revision TKA in obese patients (Martin etal. 2017). Abdel etal. (2015) reported an exaggerated risk of tibial prostheses loosening in obese patients (BMI>35kg/m2) after pri­mary TKA that may be mitigated by the use of addi­tional xation such as stemmed implants (Abdel etal.
2015).
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9.5.2 Functional Outcomes
The degree of functional improvement in obese patients after TKA is controversial. In a comparison of the clini­cal and radiographic outcomes of 326 TKAs in obese patients with 425 non-obese patients, Spicer etal. (2001) reported that no difference existed in both the 10-year survivorship and functional outcomes of the two groups (Spicer etal. 2001). Foran etal. (2004) showed that the functional outcome scores in 68 obese patients were inferior in comparison to a group of matched non-obese patients at a mean follow-up of 80months (Foran etal.
2004). In a systematic review, Kerkhoffs et al. (2012)
reported that Knee Society scores (KSS) in obese patients were signicantly inferior to non-obese patients by almost 3.23 points on average (Kerkhoffs etal. 2012). Naziri etal. (2013) showed that both KSS and knee ex­ion was poorer in super-obese patients than non-obese patients at a 5-year follow-up (Naziri et al. 2013). In contrast, a retrospective review of the functional out­comes and complications of 402 TKAs using the same implant by Agarwala etal. (2020) showed no difference between obese and non-obese patients at a minimum of 1-year follow-up (Agarwala et al. 2020). Collins et al. (2017), similarly, demonstrated that the perception of pain and postoperative satisfaction was the same 2years after TKA irrespective of preoperative BMI (Collins etal. 2017).
> The absolute functional outcomes of TKA in obese
patients may be less than in non-obese patients but the relative improvement from preoperative to post­operative outcome scores and satisfaction rates are equivalent (Bookman etal. 2018).
However, the functional gains are far more moderate and more gradual as the BMI increases beyond 40kg/m2 and must be juxtaposed with the greater potential of postoperative complications (Workgroup of the Ameri­can Association of Hip and Knee Surgeons Evidence Based Committee 2013).
> In morbidly obese patients the risk of focal osteolysis
on postoperative radiographs is ve times higher with an increased risk of revision.
Obesity is associated not only with poorer survivorship of primary TKA but also with a more rapid progression to early revision surgery (Bookman etal. 2018; Mulhall etal. 2010). Wagner etal. (2016) analyzed the prospec­tively collected data of 16,136 patients who underwent elective primary TKA and reported a signicantly increased incidence of both re-operation and implant removal and revision (Wagner et al. 2016). A 3% increased risk of re-operation and a 5% increased rate
of implant removal and revision accompanied each one­unit increase in BMI, respectively. An increased rate of revision for aseptic loosening was found in patients with a BMI>35kg/m2 (Wagner etal. 2016). Functional out­comes are poorer and joint stiffness is more common in obese than in non-obese patients after revision TKA (Bookman etal. 2018; Mulhall etal. 2010).
9.5.3 Preoperative Optimization
Weight loss prior to TKA is recommended and may mitigate the need for TKA by improvement of clinically relevant symptoms (Martin etal. 2017; Pellegrini etal.
2017). A 10% decrease in body weight is associated with
a reduction of pain and functional disability for patients with knee OA (Christensen etal. 2007; Flego etal. 2016).
> However, only 1 of 9 patients is able to preoperatively
decrease body weight by more than 5% (Inacio etal.
2014).
Pellegrini et al. (2017) explored patient motives for weight loss and showed that improving physical appear­ance was most important followed by the need to allevi­ate knee symptoms and expedite TKA (Pellegrini etal.
2017).
> Signicant hindrance to weight loss includes compro-
mised mobility and debilitating pain associated with
end-stage knee pathology (Pellegrini etal. 2017).
There is concern that strict preoperative weight loss may result in muscle weakness and impaired bone mineral density (Flego etal. 2016; Waters etal. 2013). There is limited data on the impact of preoperative weight loss on the outcomes of TKA.
Bariatric surgery (BS) has been suggested to comple­ment diet and exercise to moderate the risks of TKA in obese patients.
> Bariatric surgery is indicated for morbidly obese
patients and patients with a BMI > 35 kg/m
have failed nonoperative weight loss strategies and
have at least one clinically relevant co-morbidity (Liu
etal. 2020; Zainul-abidin etal. 2019).
2
who
The potential to decrease BMI by 10–15 units and 50–70% of excess weight is possible after BS (Springer etal. 2017). Today, the safety of BS is equivalent to elec­tive TJA with a mortality rate of 1% (Springer et al.
2017). BS may mitigate the impact of co-morbidities
associated with obesity such as diabetes, hyperlipidemia, and obstructive sleep apnea (Buchwald etal. 2004; Liu etal. 2020; Zainul-abidin etal. 2019). The benet of pre-
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operative bariatric surgery prior to TKA remains con­tentious (Springer etal. 2017).
A systematic review and meta-analysis by Sattler etal. (2019) assessed physiotherapy programs in the acute post-surgical phase after TKA (Sattler et al. 2019).
> Bariatric surgery has been associated with profound
postoperative nutritional deciencies including Vitamin D, iron, and albumin (Martin etal. 2017).
There was no signicant difference in functional out­comes across differing regimes after a follow-up at 6 weeks (Dujin et al. 2012; Hewitt and Shakespeare
2001; Kim et al. 2009; Pongkunakorn and Sawatphap
The timing of BS, before or after TKA, is controversial. Kulkarni etal. (2011) showed that patients who under­went BS before TJA were 3.5 times less likely to have wound infections and the incidence of hospital readmis­sions was 7 times lower than for patients with BS after TJA (Kulkarni etal. 2011). Werner etal. (2015b) reported that obese patients who had undergone bariatric surgery 2 years before TKA showed a rate of minor complica­tions decreased by 40%, and the incidence of major com­plications halved in comparison with obese patients (Werner etal. 2015b). The rate of adverse events was still higher than compared with non-obese patients undergo­ing TKA (Werner etal. 2015b). The 2018 Proceedings of
9
International Consensus on Orthopedic Infections do not recommend routine preoperative bariatric surgery as a result of inconclusive evidence (Zainul- abidin etal. 2019).
2014). There are several adjuncts to physiotherapy pro-
grams including electrical stimulation, acupuncture, cryotherapy, and various electrical modalities. Patients should be educated on these forms of therapy as an adjunct to an exercise regime offered on a personal pref­erential basis. However, the adjuncts to physiotherapy cannot be used in isolation and should be implemented in conjunction with an exercise routine (Artz etal. 2015). Various types of exercise such as hydrotherapy, cycling, or additional balancing movements have shown equivo­cal outcomes when compared to conventional physio­therapy. There are no signicant differences in outcomes when outpatient physiotherapy was compared to a home-based exercise program (Artz et al. 2015; Dujin et al. 2012; Hewitt and Shakespeare 2001; Kim et al.
2009; Pongkunakorn and Sawatphap 2014; Sattler etal.
2019).
9.6 Rehabilitation TKA
There are big variations between the models of reha­bilitation programs used across institutions and by cli­nicians worldwide. Rehabilitation programs should be designed to focus on the personal expectations, overall physical health, and preoperative baseline function of each patient. There are continued advances in surgery and between 2012 and 2018 the mean length of hospi­tal stays has decreased from 2.3days to 1.1days in the USA (American Academy of Orthopaedic Surgeons, American Joint Replacement Registry (AJRR) 2018). There are undeniable positive short-term improvements in physical function and pain after TKA.
> However, there remains a recognized problem with
medium- to long-term patient outcomes.
Despite similar clinical practice, improvement in surgi­cal techniques, and surgeon experience between total hip arthroplasty (THA) and TKA, the global trend of patient satisfaction after TKA is more modest than after THA (Organisation for Economic Co-operation and Development (OECD) 2019).
> Although most patients receive early, supervised
physiotherapy after TKA, there is a lack of evidence supporting the optimal type, duration or frequency of exercise that will ensure the best outcomes (Artz etal.
2015; Sattler etal. 2019).
> After discharge even minimal physiotherapy has been
shown to improve outcomes up to 6months postop-
eratively when compared to a control group receiving
no physiotherapy (Artz etal. 2015).
There is no evidence to suggest which exercise modality produces best outcomes and clinicians should consider patient motivation and preference when determining the most suitable exercise regime to recommend (Castrodad etal. 2019). The variation in short- term results across interventions indicates that further high-quality studies should be conducted to assess the impact of early reha­bilitation after TKA over a longer follow-up interval. The length of hospital stay after TKA rates continues to decrease worldwide; however, activity during the pro­ceeding days after surgery may have a crucial impact on long-term outcomes (Artz etal. 2015; Castrodad etal.
2019; Jahic etal. 2018; Sattler etal. 2019).
Conclusion
z
Lifestyle-related risk factors demonstrated to negatively inuence outcomes including younger age, smoking, and poor nutritional status. A younger population demo­graphic is presenting for TKA with increased desires to RTW and RTS. There are no absolute restrictions on activities after TKA, and surgeons should consider each case on an individual basis to provide extensive counsel­ing aimed at guiding patients. A multidisciplinary team approach should be implemented to ensure that patient expectations are met. The overall patient satisfaction
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after TKA is more modest than after THA and the vital role of perioperative rehabilitation and optimization of modiable risk factors must be recognized.
Take-Home Messages
5 There is increased demand for TKA in a younger
demographic (<60years) with increased expecta­tions after TKA.
5 Younger patients have shown the highest incidence
of need for early revisions after TKA.
5 RTW and RTS are now major expectations that
have been strongly correlated with patient satisfac­tion.
5 Smoking is a modiable patient risk factor with an
increased risk for revision TKA when compared to patients who have never smoked.
5 Malnutrition, including both undernutrition and
obesity, is implicated in a higher risk of overall complications, readmissions, and revisions.
5 Undernutrition is often overlooked and underdi-
agnosed affecting between 40% and 60% of TJA patients.
5 A low preoperative serum albumin of <3.5 g/dL
may be an accurate indicator of postoperative infections.
5 Although satisfaction rates are equivalent to non-
obese patients, functional outcomes are lower in obese patients after TKA.
5 Obesity may compromise prosthetic longevity due
to exaggerated stresses on the underlying bone and implant material.
5 Obesity is the strongest predictor of requiring con-
tralateral joint replacement within 5 to 8 years after index TKA.
5 Perioperative rehabilitation programs directly impact
early and medium-term functional outcomes and a multidisciplinary team approach to optimize patient satisfaction after TKA.
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The Microbiome oftheJoint
SamuelJ.Clarkson, KaranGoswami, andJavadParvizi
Contents
10.1 Microbiome Overview – 102
10.2 Clinical Signicance ofMicrobiome – 102
10.3 Microbiome in“Sterile” Compartments – 102
10.4 Chronic Colonization oftheNative Joint – 103
10.5 Colonization ofNative/Implanted Joint Without Evidence ofDisease – 104
10.6 Implications forPJI – 104
10
References – 105
© The Author(s), under exclusive license to Springer-Verlag GmbH, DE, part of Springer Nature 2022 E. Hansen, K.-D. Kühn (eds.), Essentials of Cemented Knee Arthroplasty,
https://doi.org/10.1007/978-3-662-63113-3_10
102
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S. J. Clarkson et al.
10
10.1 Microbiome Overview
Over the past several decades, it has become clear that the microorganisms that reside in ecological niches of the human body play an important role in health and disease (Byrd et al. 2018; Cho and Blaser 2012; Davenport etal. 2017; Young 2017). This community of microorganisms comprises part of what is known as the human microbiome, a term that encompasses the com­position of all microbial genes in a community, as well as host epithelium, immune components, and both host and microbe metabolites (Byrd etal. 2018; Young 2017). In all, the human microbiome is estimated to contain over 1013 cells, outnumbering human cells by 10:1 according to some estimates (Sender et al. 2016). Bacteria, especially in the digestive tract, have been by far the most studied component of the microbiome. However, other organisms including fungi, viruses, and protozoa all play important roles. Moreover, the specic composition of species differs vastly in different areas of the body (Cho and Blaser 2012).
The study of the microbiome has taken off in large part due to improvements in the ability of new technol­ogies to characterize the diverse array of microorgan­isms. Prior to DNA sequencing technology, our ability to identify the multitude of species was limited as stan­dard culturing techniques are unable to detect over 80% of the microorganisms within the human microbiome (Clemente etal. 2018; Eckburg etal. 2005). Utilizing the relative consistency of the 16S rRNA subunit of the bacterial genome, culture-independent approaches have allowed researchers to rapidly sequence the enormous amount of genetic data contained within a given sample (Clemente et al. 2018; Goswami and Parvizi 2020; Hodkinson and Grice 2015). For example, technologies based on polymerase chain reaction (PCR) were ground­breaking in detecting and classifying components of the human genome and microbiome, as well as diagnosing infections in a clinical context. However, PCR is limited by its relatively low sensitivity and reliance on precon­ceived primer targets. In more recent years, non-Sanger­based high throughput DNA sequencing methods, collectively referred to as next-generation sequencing (NGS), have shown promise in its ability to quickly and accurately characterize all microbial DNA in a given sample without suffering from the limitations inherent to PCR (Goswami et al. 2018; Goswami and Parvizi
2020).
10.2 Clinical Signicance ofMicrobiome
The advances as described have begun to provide researchers with a more comprehensive picture of the human microbiome. This work has made it clear, in
recent decades, that characteristics of specic compo­nents of the microbiome are linked to certain patholo­gies. In particular, the microbiome of the digestive tract has been studied extensively. Within the realm of infec­tious diseases, there is an increased understanding that the composition of the gut microbiome mediates resis­tance to colonization of invasive species.
> As such an indirect path to infection can be exploited
by certain species when dysbiosis occurs.
A prominent example is the ability of Clostridium dif- cile to colonize and cause disease in individuals whose microbiome has been affected by the administration of antibiotics (Libertucci and Young 2019). There is also substantial evidence of the microbiome’s role in onco­genesis within the digestive tract, including associations with the development of gastric adenocarcinoma (Atherton and Blaser 2009), esophageal adenocarci­noma (Atherton and Blaser 2009), and colorectal carci­noma (Castellarin etal. 2012; Kostic etal. 2012).
The effect of the gut microbiome is not limited to local organs. Through regulation of nutritional absorp­tion, regulation of the gut’s immune system, and trans­location of microbes into the systemic circulation, the composition of the microbiome inuences disease sys­temically and at specic distant organs (Hernandez
2017). Variations have been implicated in a wide array
of diseases, including cardiovascular disease (Wang etal. 2011), obesity (Ley et al. 2005; Turnbaugh etal.
2006), psychiatric illness (Bravo etal. 2011; Dinan and
Cryan 2013), multiple sclerosis (Clemente etal. 2018), and systemic lupus erythematosus (Clemente et al.
2018). Of note, there is also evidence to support the
inuence of the gut microbiome on bone and joint dis­eases such as inammatory arthritis, osteoarthritis, and osteoporosis (Clemente et al. 2018; Hernandez 2017; Hernandez etal. 2019; Scher etal. 2016).
10.3 Microbiome in“Sterile” Compartments
> The microbiome of the digestive tract, skin, and other
locations are considered to be commensal and consis-
tent with normal physiology. Disruptions in the com-
position of the microbiome lead to disease, not the
mere existence of organisms.
In contrast, there are many areas of the body, such as joints, that are traditionally considered to be sterile. Detection of microorganisms in these locations is often considered contaminants or markers of specic pathol­ogies that have developed due to immune suppression or implantation of a foreign material (Rohde and Gos­wami n.d.).
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