Literature DB >> 36123083

Patient-related factors associated with superficial surgical site infection and progression to a periprosthetic joint infection after elective primary total joint arthroplasty: a single-centre, retrospective study in Sweden.

Hannah K Eriksson1, Stergios Lazarinis2.   

Abstract

OBJECTIVES: Superficial surgical site infection (SSSI) may increase the risk of serious complications such as periprosthetic joint infection (PJI). This study aims to identify patient-related risk factors associated with SSSI and investigate their correlation with the progression of PJI.
DESIGN: In this retrospective study, 1191 elective hip and knee prostheses were included. Patients were interviewed 3-5 months after surgery to answer questions about the postoperative period. Patient records were reviewed to determine whether there had been any documentation of wound-healing difficulties or whether antibiotics were prescribed to treat an infection related to arthroplasty surgery.
SETTING: Uppsala University Hospital, patients treated between November 2008 and December 2012. PARTICIPANTS: The study population comprised 433 knees and 758 hips. OUTCOME MEASURES: We studied patient-related risk factors (joint, age, sex, the American Society of Anesthesiologists (ASA) classification, body mass index (BMI), smoking, diabetes and rheumatic disease) to determine whether they were associated with (1) SSSI and (2) the progress from SSSI to PJI.
RESULTS: 84 (7%) patients of the total cohort developed SSSI. This infection progressed to a PJI in 24 (29%) of the patients. Factors with increased adjusted risk ratios (aRRs) for SSSIs were knee surgery (1.7; 95% CI: 1.1 to 2.7), age≥65 years (1.7; 95% CI: 1.1 to 2.8), BMI≥30 (1.9; 95% CI: 1.0 to 3.4) and ASA classification≥3 (1.7; 95% CI: 1.0 to 2.9). ASA classification≥3 was the only factor showing a significant progression from SSSI to PJI (aRR=3.3; 95% CI: 1.0 to 10.3).
CONCLUSIONS: The risk of progressing from an SSSI to a PJI is high. Older patients, patients with obesity, and those with a high ASA classification considered for elective total knee arthroplasty seem to have an increased risk of developing SSSI. Patients with a high ASA classification seem to have an increased risk of progressing from SSSI to PJI. © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  Adult orthopaedics; Hip; Knee; Musculoskeletal disorders

Mesh:

Substances:

Year:  2022        PMID: 36123083      PMCID: PMC9486361          DOI: 10.1136/bmjopen-2022-060754

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   3.006


Strengths of this study include the large cohort size (n=1191) and careful follow-up of each patient. Exclusive inclusion of patients with primary elective arthroplasty surgery on the hip or knee. Limitations of this study include the retrospective study design and the small number of infections, leading to a potential risk of a type 2 error.

Introduction

Infection after total joint arthroplasty (TJA) can be defined as either superficial involving skin or subcutaneous tissue only (a superficial surgical site infection (SSSI)) or deep (periprosthetic joint infection (PJI)) with deep soft tissue involvement (eg, fascial and muscle layers) and the prosthesis. The incidence of SSSI after TJA can vary from 1% to 10%1–3 and may increase the risk of subsequent PJI by 35-fold.3 The frequency of PJI ranges between 1% and 5%.4–7 Patient-related risk factors, such as obesity, rheumatoid arthritis (RA), smoking, male sex, age, alcohol abuse, American Society of Anesthesiologists (ASA) classification >2 and diabetes mellitus (DM),8–16 have been described as risk factors for PJI but not confirmed as risk factors for SSSI. In clinical practice, priority should be to identify high-risk patients for SSSI and PJI, aiming for optimal patient outcomes and the opportunity to manage modifiable risk factors. It is essential to seize any possibility to optimise all prerequisites for the best achievable surgical outcome. Thus, we sought to (1) determine which patient-related factors are linked to SSSI and (2) investigate the progression from SSSI to PJI.

Methods

Study design

This retrospective study of primary elective prostheses in hip or knee joints included patients in a national project designed to reduce the incidence of hospital-related infections.17 The study patients were treated at Uppsala University Hospital from November 2008 to December 2012 and interviewed 3–5 months after surgery to answer questions about the postoperative period. Patient medical records were reviewed to determine whether there had been any documentation of difficulties with wound healing or whether antibiotics were prescribed to treat an infection related to hip or knee arthroplasty. An orthopaedic consultant reviewed all information from patient records (recorded from general practitioners or orthopaedic consultants), including possible wound healing complications or antibiotic prescriptions due to suspected postoperative infection. This information and the results of the patient interview were used to determine the occurrence of SSSI. The diagnosis of PJI was made by a consultant orthopaedic surgeon in consultation with a consultant in infectious diseases. In a retrospective review of patient records selected patients met the criteria for PJI,18 but those criteria were not used at the time of diagnosis. Patient records were reviewed for patient-related risk factors, and a local arthroplasty register was used to obtain information about revision surgery that had been necessary due to persistent PJI. This study was limited to patient-related risk factors associated with the development of SSSI and focused on factors that may be avoidable or preoperatively optimised.

Study population

The study population comprised 664 men, 527 women and the study material included 1191 joints (433 knees, 758 hips). Hip prostheses were cemented, uncemented or hybrids. Only cemented components were used in all knees. In all cemented prostheses, antibiotic-loaded cement with gentamycin was applied. All patients received systemic preoperative and perioperative antibiotic prophylaxis in accordance with national guidelines (cloxacillin, and in the case of penicillin allergy, clindamycin).

Confounders

Patient-related factors (eg, joint, sex, age, body mass index (BMI), RA, ASA classification, smoking, DM) were considered clinically relevant for the association between arthroplasty and SSSI or PJI. These specific patient-related variables have previously been linked to exposure and outcome and are not considered in the causal pathway between potential risk factors and outcome (figure 1).
Figure 1

Directed acyclic graph for the selection of confounders. The circle with an arrow indicates the exposure, the circles with an (I) illustrate outcomes and the circles without text indicate confounders used in the statistical model. ASA, American Society of Anesthesiologists; BMI, body mass index, PJI, periprosthetic joint infection; SSSI, superficial surgical site infection.

Directed acyclic graph for the selection of confounders. The circle with an arrow indicates the exposure, the circles with an (I) illustrate outcomes and the circles without text indicate confounders used in the statistical model. ASA, American Society of Anesthesiologists; BMI, body mass index, PJI, periprosthetic joint infection; SSSI, superficial surgical site infection. Relevant confounders were analysed as categorical variables: ASA classification (<3 or ≥3), age (<65 years or ≥65 years) and DM (patients with DM included both types 1 and 2, drug related or diet related). For BMI, the WHO classification was used and divided into the following groups: BMI<25 (under and normal weight), 25≤BMI<30 (overweight) and BMI≥30 (obesity classes 1–3).

Statistics

Descriptive statistics were used to summarise and report demographic characteristics. In an initial analysis, logistic regression was performed, entering covariates as single variables. Crude risk ratios (RRs) for SSSI and PJI were calculated for each variable with 95% CIs. The covariates were entered into the regression model in the next step, with RRs mutually adjusted for all covariates. An adjusted RR (aRR) for each covariate was calculated for the occurrence of SSSI or PJI and any progression of SSSI to PJI. All statistical analyses were performed using SPSS (V.26.0) and p values ≤0.05 were considered significant.

Patient and public involvement

Patients or the public were not involved in developing the research questions, outcome measures, the design, conduct, reporting or dissemination plans of our research. The results of this study will not be distributed separately to study participants.

Results

The number of surgeries for prosthetic hip or knee joints was 1191. Overall, 84 joints (7%) developed an SSSI and 24 (2%) a PJI. Of the 84 joints with SSSI, 24 (29%) progressed to a PJI (figure 2).
Figure 2

Proportion of superficial surgical site infection (SSSI) and periprosthetic joint infection (PJI) in the total cohort.

Proportion of superficial surgical site infection (SSSI) and periprosthetic joint infection (PJI) in the total cohort. In the hip cohort (758), 40 joints (5%) developed an SSSI and 11 (2%) a PJI. In the knee cohort (433), 44 joints (10%) developed an SSSI and 13 (3%) a PJI (table 1).
Table 1

Number of postoperative infections

VariableSSSIPJI
Total cohort (1191)84 (7.1%)24 (2.0%)
Hip (758)40 (5.3%)11 (1.5%)
Knee (433)44 (10.4%)13 (3.1%)

PJI, periprosthetic joint infection; SSSI, superficial surgical site infection.

Number of postoperative infections PJI, periprosthetic joint infection; SSSI, superficial surgical site infection. Demographic characteristics of the cohorts are outlined in table 2.
Table 2

Cohort demographic characteristics

VariableTotal cohortHipKneeRange
n=1191n=758 (64%)n=433 (36%)
Mean age (year)63616518–96
Age
 <65673 (56%)447 (59%)226 (52%)
 ≥65518 (44%)331 (41%)207 (48%)
ASA class‡
 ≤2964 (81%)631 (84%)333 (78%)
 ≥3210 (18%)117 (16%)93 (22%)
Mean BMI28272914–51
BMI
 BMI<25*356 (30%)259 (34%)97 (22%)
 25≤BMI<30474 (40%)307 (41%)167 (39%)
 BMI≥30361 (30%)192 (25%)169 (39%)
Sex
 Women664 (56%)387 (51%)277 (64%)
 Men527 (44%)371 (49%)156 (36%)
Smoking†
 No1064 (90%)673 (89%)391 (90%)
 Yes122 (10%)81 (11%)41 (10%)
Diabetes
 No1067 (90%)686 (91%)381 (88%)
 Yes124 (10%)72 (9%)52 (12%)
Rheumatological disease
 No1052 (88%)690 (91%)362 (84%)
 Yes139 (12%)68 (9%)71 (16%)

*Underweight 17 cases (BMI<18.5).

†Missing data in 5 cases.

‡Missing data in 17 cases.

ASA, American Society of Anesthesiologists; BMI, body mass index.

Cohort demographic characteristics *Underweight 17 cases (BMI<18.5). †Missing data in 5 cases. ‡Missing data in 17 cases. ASA, American Society of Anesthesiologists; BMI, body mass index.

Risk factors for SSSI

Risk factors with a significant crude RR for developing SSSI were knee surgery (RR=2.0; 95% CI: 1.3 to 3.2), age≥65 years (RR=1.8; 95% CI: 1.2 to 2.8), ASA classification≥3 (RR=2.4; 95% CI: 1.5 to 3.8) and rheumatic disease (RR=1.9; 95% CI: 1.1 to 3.3). Adjusting for all covariates, factors with significant aRRs for SSSI were knee surgery (aRR=1.7; 95% CI 1.1 to 2.7), age≥65 years (aRR=1.7; 95% CI: 1.1 to 2.8), ASA classification≥3 (aRR=1.7; 95% CI: 1.0 to 2.9) and BMI≥30 (aRR=1.9; 95% CI: 1.0 to 3.4) (table 3).
Table 3

Risk ratio (RR) for SSSI

No SSSI 1107 (9%)
SSSI 84 (7%)
Variable Crude RR (95% CI) P value Adjusted RR (95% CI) P value
Joint
 HipRefRef
 Knee2.0 (1.3 to 3.2) 0.002 1.7 (1.1 to 2.7) 0.022
Age
 <65RefRef
 ≥651.8 (1.2 to 2.8) 0.010 1.7 (1.1 to 2.8) 0.024
ASA class*
 ≤2RefRef
 ≥32.4 (1.5 to 3.8) 0.001 1.7 (1.0 to 2.9) 0.038
BMI
 BMI<25RefRef
 25≤BMI<301.4 (0.8 to 2.2)0.2111.1 (0.6 to 2.0)0.780
 BMI≥302.3 (0.9 to 5.5)0.0751.9 (1.0 to 3.4) 0.045
Sex
 WomenRefRef
 Men1.1 (0.7 to 1.7)0.6771.1 (0.8 to 2.1)0.298
Smoking†
 NoRefRef
 Yes1.1 (0.5 to 2.3)0.8111.1 (0.5 to 2.3)0.841
Diabetes
 NoRefRef
 Yes1.6 (0.9 to 3.1)0.1181.1 (0.6 to 2.2)0.753
Rheumatological disease
 NoRefRef
 Yes1.9 (1.1 to 3.3) 0.031 1.7 (0.9 to 3.1)0.089

Numbers in bold mark statistical significance.

*Missing data in 17 cases.

†Missing data in 5 cases.

ASA, American Society of Anesthesiologists; BMI, body mass index.

Risk ratio (RR) for SSSI Numbers in bold mark statistical significance. *Missing data in 17 cases. †Missing data in 5 cases. ASA, American Society of Anesthesiologists; BMI, body mass index.

Risk factors for PJI

The only risk factor with a significant crude RR for the development of PJI was ASA classification≥3 (RR=4.8; 95% CI: 2.1 to 10.9). Factors with significant aRRs for PJI were ASA classification≥3 (aRR=3.8; 95% CI: 1.6 to 9.1) and male sex (aRR=2.8; 95% CI: 1.2 to 6.9) (online supplemental table 1).

Risk factors for PJI in patients with SSSI

The only risk factor with a significant crude RR for the development of PJI in the SSSI group was ASA classification≥3 (RR=3.0; 95% CI: 1.1 to 8.1). The aRR shown for ASA classification was 3.3 (95% CI: 1.0 to 10.3) (table 4).
Table 4

Risk ratio (RR) for PJI in patients with SSSI

SSSI—no progression to PJI 60 (71%)
SSSI—progression to PJI 24 (29%)
Variable Crude RR (95% CI) P value Adjusted RR (95% CI) P value
Joint
 HipRefRef
 Knee1.1 (0.4 to 2.9)0.8361.3 (0.4 to 3.6)0.663
Age
 <65RefRef
 ≥651.5 (0.6 to 3.9)0.4042.0 (0.7 to 6.2)0.212
ASA class
 ≤2RefRef
 ≥33.0 (1.1 to 8.1) 0.030 3.3 (1.0 to 10.3) 0.044
BMI
 BMI<25RefRef
 25≤BMI<301.7 (0.6 to 5.0)0.3092.3 (0.5 to 9.6)0.264
 BMI≥301.2 (0.5 to 3.1)0.7281.8 (0.5 to 7.1)0.411
Sex
 WomenRefRef
 Men2.5 (0.9 to 6.6)0.0652.8 (0.9 to 8.3)0.064
Smoking
 NoRefRef
 Yes4.9 (0.5 to 51.1)0.1885.3 (0.5 to 54.4)0.160
Diabetes
 NoRefRef
 Yes0.6 (0.2 to 2.0)0.3941.3 (0.3 to 5.7)0.774
Rheumatological disease
 NoRefRef
 Yes1.2 (0.4 to 3.8)0.7921.1 (0.3 to 4.7)0.883

Numbers in bold mark statistical significance

ASA, American Society of Anesthesiologists; BMI, body mass index.

Risk ratio (RR) for PJI in patients with SSSI Numbers in bold mark statistical significance ASA, American Society of Anesthesiologists; BMI, body mass index.

Discussion

Identifying, mitigating and optimising risk factors for SSSI and PJI are a desirable approach to prevent this devastating complication. The results of our study are relevant and provide new insight into the relationship between patient-related risk factors for SSSI and their association with the risk of PJI development. The risk and consequences of PJI after TJA have already been described.2 5 12 It has been reported that the occurrence of SSSI increases the risk of PJI by up to 35 times.3 However, factors affecting the progression from SSSI to PJI have not been investigated. Identifying and optimising risk factors for SSSI may decrease the risk of PJI.

Patient-related risk factors for SSSI

This study shows that knee surgery, age >65 years, a high ASA classification (≥3) and obesity (BMI>30) are independent risk factors for developing SSSI after elective primary joint arthroplasty. Knee surgery seems to be a risk factor for developing SSSI after elective primary arthroplasty. Studies have shown that patients with knee prostheses have a higher risk of PJI and are in greater need of revision surgery than patients with hip prostheses.6 9 12 19 Because there is less soft tissue around the knee than around the hip, meaning a shorter distance between skin and joint, the risk of superficial infection is also increased. Blood circulation around the knee area is more exposed to impact than the hip area and perfusion is more easily disturbed. Increased tourniquet time has been identified as an individual risk factor for deep infection, impaired wound healing and prolonged wound discharge after total knee arthroplasty (TKA).1 However, due to a lack of data, this analysis could not be included in this study. Our finding that age is a significant risk factor for SSSI is congruent with the results from a large (n=1000) retrospective study.1 Older patients (≥65 years) may have pre-existing medical conditions and fragile skin that could impair wound healing, making them more susceptible to SSSI. The correlation between a high ASA Score and infection after surgery can be explained because the ASA classification encapsulates several other known risk factors (eg, smoking, DM, obesity). These risk factors have been independently associated with a higher risk of surgical site infection due to tissue hypoperfusion and subsequent impaired immunological function.13 Our obese patients have a 1.9 times higher risk of SSSI after primary elective arthroplasty. Shohat et al reported in a study including 19 000 patients that the risk for infection increases with higher BMI levels, although no BMI threshold was observed.20 Our results align with another large register-based study that reported an increased risk of reoperation in patients with higher BMI classification (obesity classes 1–3).21 The association between BMI and postoperative wound complications may be explained by linked comorbidities (eg, DM type 2),22 prolonged or more complicated arthroplasty surgery23 and protracted postoperative wound drainage.24 It has also been suggested that, although overweight and obese patients may not be calorie deficient, they are often micronutrient and protein deficient.25–28 Thus, malnutrition can be linked to increased BMI. Patients with preoperative malnutrition have higher rates of comorbidities (congestive heart failure, previous cardiac surgery, hypertension, dyspnoea, chronic obstructive pulmonary disease, renal disease requiring dialysis, stroke, diabetes, chronic corticosteroid use, bleeding disorders).29 Higher rates of surgical site infection after TJA are shown in patients with hypoalbuminaemia.30 It has been described that RA is a risk factor for developing PJI after TJA. A systematic review presented a significant OR for PJI in patients with RA with a THA of 1.75 (95% CI: 1.49 to 2.06)12 and an OR of 1.34 (95% CI: 1.18 to 1.52) in patients with a TKA. We found that RA had a significant crude RR for developing SSSI after primary TJA. The risk was 1.7 times higher for patients with RA than those without RA when adjusting for all covariates, although this risk difference was not statistically significant (table 3). The significance of the association between RA and SSSI may have gone undetected in this analysis because of the small number of infections and type 2 statistical error.

Patient-related risk factors for the development of deep surgical site infection

We found that superficial wound complications were associated with developing PJI in 29% of our patients, with high ASA classification (3.3 times higher than patients with ASA<3) a determining factor in the progression from SSSI to PJI. ASA classification is a crude estimate of a patient’s medical condition and a high score has been associated with the risk of PJI in numerous reports.11 12 For instance, Blanco et al reported a 15-fold OR (95% CI: 6.54 to 35.80) for PJI in patients with ASA classification≥3 31 and Panula et al presented an HR of 3.2 (95% CI: 2.0 to 5.1) for the same ASA classification.32 A recent meta-analysis showed that male sex was a risk factor for PJI development, especially after TKA.19 In our analysis, male sex was close to a significant risk factor for progression from SSSI into PJI, both as a single variable and after adjustment for all covariates (2.8 times higher risk for men than women). The link between male sex and PJI may be attributed to certain contributing behavioural factors, including smoking, diet, hygiene and alcohol consumption, but the underlying reasons for this are unclear. Sex-related differences in immune response due to bacteria (eg, Staphylococcus aureus and Pseudomonas aeruginosa) have been reported. In addition, septicaemia and bacteraemia occur more frequently in males than females,33 but whether they will affect the development of SSSI or PJI has yet to be determined. The absence of statistical significance for male sex as a risk factor of developing PJI after SSSI can depend on the total number of infected patients in our study.

Prevention of postoperative infection

The rate of SSSI (7%) and PJI (2%) in this study is consistent with international studies showing levels of SSSI ranging from 1% to 10%1 34 and PJI ranging from 0.2% to 2.23%.5 6 8 The present work is focused on patient-related factors with a possible effect on the occurrence of SSSI or PJI after elective primary TJA. Several other factors related to the surgery (eg, operation time, intraoperative blood loss, number of door openings, discipline in the operating room, antibiotic prophylaxis used, surgeon’s experience) may affect the risk of postoperative infection. However, those factors are not included in our analysis. With the challenging complexity of PJI and its heavy burden on patients35 and healthcare systems,36 prevention through effective strategies is the first and best approach and should be prioritised. Identifying high-risk patients planning to undergo arthroplasty surgery and providing interventions when possible by modifying these risk factors might form the basis of PJI prevention strategies in the future.

Strengths

Two major strengths of this study are the large sample size (n=1191) and the meticulous follow-up of each patient. This thorough postoperative follow-up confirms that the number of recorded incidents of SSSI is accurate, and the follow-up time of 5 (mean 7.3; range 5.1–9.2) years is sufficient to reveal potential cases of PJI. Similar studies have presented larger cohorts but only on registers37 38 or shorter follow-ups.1 2 37 Additionally, our study includes patients with primary elective joint surgery to minimise the influence of other risk factors connected to the initial trauma (hip fractures) or extended impact on the tissue (revision surgery). This inclusion criterion is an additional strength of the study given that the rate of PJI is known to be higher after trauma and revision surgery.39 According to preoperative screening routines in our hospital, patients with a history of excessive alcohol use, intravenous drug use, poor oral hygiene or other medical conditions or medications that compromise immunity are excluded from surgery or rehabilitated before surgery.

Limitations

A potential limitation is the retrospective nature of our study design. Therefore, there may be inaccuracies or misinterpretations of information retrieved from medical records. All our patients, however, were interviewed in person to answer questions about the postoperative period. Thus, the information from medical reports was verified. Another limitation is that SSSI is not culture-verified but determined by a consultant orthopaedic surgeon that reflects the clinical reality. Cultures of a superficial infection can be misleading, which can be classified as contamination, even if a possibility of a clinical significance of skin flora found in cultures has recently been reported.40 As in infection-related research in general, where a small number of infections are a major challenge, this study may have failed to detect an association between a potential risk factor and postoperative infection due to a type 2 error.

Conclusion

In conclusion, this study demonstrates that older obese patients with a high ASA classification considered for elective total knee arthroplasty may have an increased risk of developing SSSI. Patients developing SSSI after primary elective hip or knee arthroplasty have a high risk of progressing into PJI and a high ASA classification significantly affects the progression from SSSI to PJI.
  37 in total

1.  Low Albumin Levels, More Than Morbid Obesity, Are Associated With Complications After TKA.

Authors:  Charles L Nelson; Nabil M Elkassabany; Atul F Kamath; Jiabin Liu
Journal:  Clin Orthop Relat Res       Date:  2015-05-21       Impact factor: 4.176

Review 2.  Gender specific differences in the immune response to infection.

Authors:  Erin E McClelland; Jennifer M Smith
Journal:  Arch Immunol Ther Exp (Warsz)       Date:  2011-03-26       Impact factor: 4.291

3.  Predictors of wound infection in hip and knee joint replacement: results from a 20 year surveillance program.

Authors:  Khaled Saleh; Mary Olson; Scott Resig; Boris Bershadsky; Mike Kuskowski; Terence Gioe; Harry Robinson; Richard Schmidt; Edward McElfresh
Journal:  J Orthop Res       Date:  2002-05       Impact factor: 3.494

4.  Risk Factors for Surgical Site Infection Following Lower Limb Arthroplasty: A Retrospective Cohort Analysis of 3932 Lower Limb Arthroplasty Procedures in a High Volume Arthroplasty Unit.

Authors:  Mohammed A Almustafa; Alistair M Ewen; Angela H Deakin; Frederic Picard; Jon V Clarke; Fahd F Mahmood
Journal:  J Arthroplasty       Date:  2018-01-31       Impact factor: 4.757

5.  Weighing in on Body Mass Index and Infection After Total Joint Arthroplasty: Is There Evidence for a Body Mass Index Threshold?

Authors:  Noam Shohat; Andrew Fleischman; Majd Tarabichi; Timothy L Tan; Javad Parvizi
Journal:  Clin Orthop Relat Res       Date:  2018-10       Impact factor: 4.176

6.  Periprosthetic joint infection: the incidence, timing, and predisposing factors.

Authors:  Luis Pulido; Elie Ghanem; Ashish Joshi; James J Purtill; Javad Parvizi
Journal:  Clin Orthop Relat Res       Date:  2008-04-18       Impact factor: 4.176

7.  Risk factors for infection after knee arthroplasty. A register-based analysis of 43,149 cases.

Authors:  Esa Jämsen; Heini Huhtala; Timo Puolakka; Teemu Moilanen
Journal:  J Bone Joint Surg Am       Date:  2009-01       Impact factor: 5.284

8.  Obesity is a major risk factor for prosthetic infection after primary hip arthroplasty.

Authors:  Michelle M Dowsey; Peter F M Choong
Journal:  Clin Orthop Relat Res       Date:  2008-01-03       Impact factor: 4.176

Review 9.  Periprosthetic joint infections.

Authors:  Ana Lucia L Lima; Priscila R Oliveira; Vladimir C Carvalho; Eduardo S Saconi; Henrique B Cabrita; Marcelo B Rodrigues
Journal:  Interdiscip Perspect Infect Dis       Date:  2013-08-19

Review 10.  The incidence of co-morbidities related to obesity and overweight: a systematic review and meta-analysis.

Authors:  Daphne P Guh; Wei Zhang; Nick Bansback; Zubin Amarsi; C Laird Birmingham; Aslam H Anis
Journal:  BMC Public Health       Date:  2009-03-25       Impact factor: 3.295

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