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Lifestyle andRisk Factors forKnee Arthroplasty: ASouth African Perspective
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. Table 9.1 Summary of parameters dening malnutrition
(World Health Organisation (WHO) 2018; Springer etal.
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
Classication
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 specicity of
dening 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 etal.
2018; Carli etal. 2019; Greene
etal. 1991; Ryan etal. 2018; Tsantes etal. 2019).
PJI is the most common reason for revision in
patients undergoing TKA with undernutrition.
> The risk of supercial 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 30days of primary TKA as a result of SSI is tenfold higher in undernourished patients (Carli etal. 2019; Huang etal. 2013;
Schroer etal. 2018). In comparison with other modiable
risk factors including anemia, uncontrolled diabetes, narcotic and tobacco use, Schroer etal. (2018) showed that
undernutrition was associated with the highest rate of
90-day readmissions (Schroer etal. 2018). In addition to
PJI, undernutrition is an independent risk factor for
renal and neurovascular adverse events and hematoma
or seroma formation. Bala etal. (2020) reported signicantly more major complications in protein- malnourished
patients when compared with a control cohort undergoing TJA (Bala etal. 2020). The increase in postoperative
complications included more pulmonary embolisms,
acute myocardial infarctions, occlusive strokes, and
respiratory and heart failures (Courtney etal. 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 etal. (2020) reported that a serum albumin of
<3.5g/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 etal.
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 benet 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 signicantly
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 2weeks postoperatively in 23 randomized patients undergoing TKA (Nishizaki etal. 2015).
Cao etal. (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<30kg/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 classied according to BMI
with recent additions of subclassications for severe
obesity including morbid obesity and super obesity
Järvenpää etal. (2012) demonstrated signicantly more
postoperative complications in the obese group (Järvenpää et al. 2012). In a review of 1.7 million TKAs,
D’Apuzzo etal. (2015) proved that morbid obesity was
an independent risk factor for perioperative complications (D’Apuzzo etal. 2015). Additionally, having controlled for age, sex, and 28 other medical co-morbidities,
morbid obesity resulted in the following:
(. Table9.1). 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 3–5times 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 etal. 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.
etal. 2016; Sahyoun etal. 1999)
> Each unit increase of BMI infers an additional 8%
> Subsequently, approximately, 80–95% of patients for
TKA are overweight or obese (Changulani etal. 2008;
Pellegrini etal. 2017).
risk of surgically related complications (Dowsey etal.
2010).
This is both a consequence of obesity itself and the
In addition, the likelihood of obese patients requiring
subsequent contralateral TKA is also signicant. The
need for contralateral TKA after unilateral TKA is 37%
within 10years 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 5–8years later (Lamplot etal. 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>50kg/m2). The complication rate in super-obese
patients is not only double that of morbidly obese
patients and four times more signicant than non-obese
patients, it is even higher than those patients undergoing
revision TKA (Werner etal. 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 etal. 2015;
Gillespie and Porteous 2007; Mantilla et al. 2003;
Memtsoudis etal. 2009; Winiarsky etal. 1998)
> Prosthetic longevity may be compromised in obese
patients due to exaggerated stresses on the underlying
bone and implant material (Ayyar etal. 2012; Bagsby
etal. 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 etal. 2017). Abdel etal.
(2015) reported an exaggerated risk of tibial prostheses
loosening in obese patients (BMI>35kg/m2) after primary TKA that may be mitigated by the use of additional xation such as stemmed implants (Abdel etal.
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 etal. (2001)
reported that no difference existed in both the 10-year
survivorship and functional outcomes of the two groups
(Spicer etal. 2001). Foran etal. (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 80months (Foran etal.
2004). In a systematic review, Kerkhoffs et al. (2012)
reported that Knee Society scores (KSS) in obese
patients were signicantly inferior to non-obese patients
by almost 3.23 points on average (Kerkhoffs etal. 2012).
Naziri etal. (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 etal. (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 2years
after TKA irrespective of preoperative BMI (Collins
etal. 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 etal. 2018).
However, the functional gains are far more moderate
and more gradual as the BMI increases beyond 40kg/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 etal. 2018; Mulhall
etal. 2010). Wagner etal. (2016) analyzed the prospectively collected data of 16,136 patients who underwent
elective primary TKA and reported a signicantly
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>35kg/m2 (Wagner etal. 2016). Functional outcomes are poorer and joint stiffness is more common in
obese than in non-obese patients after revision TKA
(Bookman etal. 2018; Mulhall etal. 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 etal. 2017; Pellegrini etal.
2017). A 10% decrease in body weight is associated with
a reduction of pain and functional disability for patients
with knee OA (Christensen etal. 2007; Flego etal. 2016).
> However, only 1 of 9 patients is able to preoperatively
decrease body weight by more than 5% (Inacio etal.
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 etal.
2017).
> Signicant hindrance to weight loss includes compro-
mised mobility and debilitating pain associated with
end-stage knee pathology (Pellegrini etal. 2017).
There is concern that strict preoperative weight loss may
result in muscle weakness and impaired bone mineral
density (Flego etal. 2016; Waters etal. 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
etal. 2020; Zainul-abidin etal. 2019).
2
who
The potential to decrease BMI by 10–15 units and
50–70% of excess weight is possible after BS (Springer
etal. 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 etal. 2004; Liu
etal. 2020; Zainul-abidin etal. 2019). The benet of pre-

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operative bariatric surgery prior to TKA remains contentious (Springer etal. 2017).
A systematic review and meta-analysis by Sattler etal.
(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 deciencies including
Vitamin D, iron, and albumin (Martin etal. 2017).
There was no signicant 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 etal. (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 etal. 2011). Werner etal. (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 etal. 2015b). The rate of adverse events was still
higher than compared with non-obese patients undergoing TKA (Werner etal. 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 etal. 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 etal. 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 signicant 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 etal.
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 2.3days to 1.1days 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 etal.
2015; Sattler etal. 2019).
> After discharge even minimal physiotherapy has been
shown to improve outcomes up to 6months postop-
eratively when compared to a control group receiving
no physiotherapy (Artz etal. 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
etal. 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 etal. 2015; Castrodad etal.
2019; Jahic etal. 2018; Sattler etal. 2019).
Conclusion
z
Lifestyle-related risk factors demonstrated to negatively
inuence 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
modiable risk factors must be recognized.
Take-Home Messages
5 There is increased demand for TKA in a younger
demographic (<60years) 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 modiable 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 oftheJoint
SamuelJ.Clarkson, KaranGoswami, andJavadParvizi
Contents
10.1 Microbiome Overview – 102
10.2 Clinical Signicance ofMicrobiome – 102
10.3 Microbiome in“Sterile” Compartments – 102
10.4 Chronic Colonization oftheNative Joint – 103
10.5 Colonization ofNative/Implanted Joint Without Evidence
ofDisease – 104
10.6 Implications forPJI – 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

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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 etal. 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 etal. 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 specic
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 etal. 2018; Eckburg etal. 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 Signicance ofMicrobiome
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 specic 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 etal. 2012; Kostic etal. 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 inuences disease systemically and at specic distant organs (Hernandez
2017). Variations have been implicated in a wide array
of diseases, including cardiovascular disease (Wang
etal. 2011), obesity (Ley et al. 2005; Turnbaugh etal.
2006), psychiatric illness (Bravo etal. 2011; Dinan and
Cryan 2013), multiple sclerosis (Clemente etal. 2018),
and systemic lupus erythematosus (Clemente et al.
2018). Of note, there is also evidence to support the
inuence of the gut microbiome on bone and joint diseases such as inammatory arthritis, osteoarthritis, and
osteoporosis (Clemente et al. 2018; Hernandez 2017;
Hernandez etal. 2019; Scher etal. 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 specic pathologies that have developed due to immune suppression or
implantation of a foreign material (Rohde and Goswami n.d.).
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