Risk Factors For Periprosthetic Joint Infection Research Articles

Low UKA implantation volume, comorbidities, male sex, and implantation of constrained TKA are risk factors for septic revision after knee arthroplasty implantation : A register-based study from the German Arthroplasty Register

Periprosthetic joint infection (PJI) is one of the main causes of revision surgeries after total knee arthroplasty (TKA) and unicondylar knee replacement. Patient- and hospital-related risk factors must be evaluated to prevent PJI. This study identifies influencing factors and differences in infection rates between various types of implant. The basis for the data is the German Arthroplasty Register (EPRD). Septic revisions were calculated with the aid of Kaplan-Meier estimates, with septic revision surgery defined as the primary endpoint. Patients with constrained and unconstrained TKA or UKA were analysed using the Holm multiple log-rank test and the Cox proportional hazard model. The 300,998 cases of knee arthroplasty analysed included 254,144 (84.4%) unconstrained TKA, 9993 (3.3%) constrained TKA and 36,861 (12.3%) UKA, with a maximum follow-up of 7 years. After 1 year, the PJI rate was 0.5% for UKA and 2.8% for TKA, whereas after 7 years it was 4.5% for UKA and 0.9% for TKA (p < 0.0001). In constrained TKA, the PJI rate was significantly increased compared with unconstrained TKA (p < 0.0001). After 1 year, the PJI rate was 2.0% for constrained TKA and 0.8% for unconstrained TKA, as well as 3.1% and 1.4% respectively after 7 years. Implantation of a constrained TKA (HR = 2.55), male sex (HR = 1.84), an increased Elixhauser Comorbidity Index score (HR = 1.18-1.56) and an implantation volume of less than 25 UKA per year (HR = 2.15) were identified as risk factors for revision surgeries; an Elixhauser Comorbidity Index score of0 (HR = 0.80) was identified as a preventive factor. A reduced implantation volume and constrained knee arthroplasty are linked to a higher risk of PJI. Comorbidities (increased Elixhauser Comorbidity Index score), male sex and a low UKA-implantation volume were identified as risk factors for PJI. Patients who fulfil these criteria need specific infection prevention measures. Further analyses are required to investigate the potential influence of prevention and risk factor modification. III.

Low implantation volume, comorbidities, male sexand implantation of constrained TKA identified as risk factors for septic revision in knee arthroplasty:A register-based study from the German Arthroplasty Registry.

Periprosthetic joint infection (PJI) is a major cause of revision surgery after total knee arthroplasty (TKA) and unicondylar knee arthroplasty (UKA). Patient- and hospital-related risk factors need to be assessed to prevent PJI. This study identifies influential factors and differences in infection rates between different implant types. Data were obtained from the German Arthroplasty Registry. Septic revisions were calculated using Kaplan-Meier estimates with septic revision surgery as the primary endpoint. Patients with constrained and unconstrained TKA or UKA were analysed using Holm's multiple log-rank test and Cox's proportional hazards ratio. The 300,998 cases of knee arthroplasty analysed included 254,144 (84.4%) unconstrained TKA, 9993 (3.3%) constrained TKA and 36,861 (12.3%) UKA with a maximum follow-up of 7 years. At 1 year, the PJI rate was 0.5% for UKA and 2.8% for TKA, whereas at 7 years, the PJI rate was 4.5% for UKA and 0.9% for TKA (p < 0.0001). The PJI rate significantly increased for constrained TKA compared to unconstrained TKA (p < 0.0001). The PJI rate was 2.0% for constrained TKA and 0.8% for unconstrained TKA at 1 year and 3.1% and 1.4% at 7 years. Implantation of a constrained TKA (hazard ratio [HR] = 2.55), male sex (HR = 1.84), increased Elixhauser score (HR = 1.18-1.56) and implant volume of less than 25 UKA per year (HR = 2.15) were identified as risk factors for revision surgery; an Elixhauser score of 0 (HR = 0.80) was found to be a preventive factor. Reduced implant volume and constrained knee arthroplasty are associated with a higher risk of PJI. Comorbidities (elevated Elixhauser score), male sex and low UKA implant volume have been identified as risk factors for PJI. Patients who meet these criteria require specific measures to prevent infection. Further research is required on the potential impact of prevention and risk factor modification. Level III.

Do Preoperative Corticosteroid Injections Increase the Risk of Infection after Shoulder Arthroscopy or Shoulder Arthroplasty? A Systematic Review.

Corticosteroid injections have demonstrated short-term benefits for shoulder pain. This symptomatic treatment method is used in various inflammatory conditions that affect the shoulder joint. Corticosteroid joint injections are not without risks and complications. Adverse effects have been documented, including damage to the articular cartilage, tendon rupture, and attenuation of the subject's immune response. The aim of this study was to examine the timing of preoperative corticosteroid injections on infectious outcomes of shoulder arthroscopies and shoulder arthroplasty. In accordance with the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), the PubMed, Cochrane, and Science Direct databases were systematically reviewed by two independent authors in January 2024. After full-text reading and checking the reference lists, 11 article were included. Patients who received a shoulder injection within three months prior to undergoing shoulder arthroplasty exhibited a markedly elevated incidence of infection. In addition, a significantly increased risk of periprosthetic joint infection (PJI) at 90 days postoperatively in patients who received CSIs (corticosteroid injections) within 1 month prior to shoulder arthroplasty was found. Different authors consider CSI injections within the 2 weeks prior to shoulder arthroscopy surgery principally associated with an increased risk of postoperative infection. There is still no consensus on the correct timing of preoperative CSIs in both arthroscopic and arthroplasty procedures. The literature does not identify whether the number of preoperative injections could increase the risk of periprosthetic infection. Obesity, sex, and smoking did not have a significant effect on PJIs; alcohol abuse could be considered as a risk factor for PJIs with CSIs. Both in prosthetic surgeries and in arthroscopy procedures, modifiable and unmodifiable factors play secondary roles. The risk of postoperative infection is greater within 3 months, although it is almost comparable at one- and two-year follow-ups.

Elevated risk of prosthetic infections in cannabis users after shoulder arthroplasty.

An increasing number of states are beginning to legalize recreational cannabis use, and as such, more patients using cannabis are undergoing shoulder arthroplasty procedures. The present study sought to examine the impact of cannabis use on post-operative outcomes. The primary outcomes of interest were postoperative complications, which included infection, periprosthetic fractures, periprosthetic joint infections (PJI), dislocations, and aseptic loosening as well as medical complications. Secondary outcomes were risk factors for PJI and aseptic loosening at two-years. A private, nationwide, all-payer database (Pearldiver Technologies) was queried to identify shoulder arthroplasty patients from 2010 to 2020. Those not using tobacco or cannabis ("control", n = 10,000), tobacco users (n = 10,000), cannabis users (n = 155), and concurrent tobacco and cannabis users (n = 9,842) were identified. Risk factors for PJI and aseptic loosening at two-years were further quantified utilizing multivariable logistic regression analysis. Compared to non-users, cannabis users experienced the highest odds for PJI and aseptic revisions, which were followed by concurrent cannabis and tobacco users and tobacco-only users. Concurrent users, as well as tobacco users were at higher risk for dislocation. Cannabis use was the most significant risk factor for PJI, followed by concurrent use and male sex. Our study found cannabis use to cause greater risk for superficial and deep infection. More research involving randomized trials are needed to fully elucidate the impact of cannabis use on shoulder arthroplasty procedures. Clinically, these findings can appropriately guide surgeons and patients alike regarding expectations prior to undergoing TSA.

Decreased Risk of Periprosthetic Joint Infection with Concurrent Hardware Removal During Conversion Total Hip Arthroplasty Compared to Staged Removal: A Matched Cohort Analysis.

Hardware removal before conversion total hip arthroplasty (cTHA) is a challenging task for the orthopaedic surgeon, although there is little consensus on the timing of hardware removal to mitigate risk of surgery-related complication following cTHA. Using a national insurance database, we evaluated patients who underwent hardware removal either on the same day or within 1 year before cTHA, resulting in a total of 7,756 patients. After matching based on demographic factors and comorbidities, both staged and concurrent groups consisted of 2,752 patients. The 90-day and 1-year risk of revision surgery, periprosthetic joint infection (PJI), periprosthetic fracture, and aseptic loosening were calculated and compared. Demographic factors and comorbidities were further evaluated as risk factors for PJI. The rates of infection were 1.85% and 3.05% at 90 days postoperatively and 2.94% and 4.14% at 1 year postoperatively for concurrent versus staged cohorts, respectively (P = 0.004 and P = 0.02). No difference was observed at 90 days or 1 year between the two cohorts in risk of fracture, revision surgery, or aseptic loosening. Diabetes (P = 0.002 and P < 0.001), tobacco use (P < 0.001 and P < 0.001), and obesity (P = 0.026 and P = 0.025) were identified as risk factors for PJI at both 90 days and 1 year postoperatively. The timing of hardware removal is associated with an increased risk of PJI, although no difference was observed in revision surgery, fracture, or loosening among staged versus concurrent cohorts. These findings are important to consider when surgeons are evaluating patients with periarticular implants surrounding their hip.

Symptomatic Benign Prostatic Hyperplasia: An Optimizable Risk Factor for Periprosthetic Joint Infection After Elective Primary Total Knee Arthroplasty

BackgroundWhether symptomatic benign prostatic hyperplasia (sBPH), which is common among middle-aged and older men, affects the risk of periprosthetic joint infection (PJI) remains controversial. The present study explored this question among men undergoing total knee arthroplasty and total hip arthroplasty (TKA and THA). MethodsWe retrospectively analyzed medical data from 948 men who underwent primary TKA or THA at our institution between 2010 and 2021. We compared the incidence of postoperative complications such as PJI, urinary tract infection (UTI), and postoperative urinary retention (POUR) between 316 patients (193 hips and 123 knees) who did and 632 patients who did not have sBPH; the 2 groups of patients were matched to each other in a 1:2 ratio based on numerous clinical demographic variables. In the subgroup analyses, we stratified sBPH patients according to whether they began anti-sBPH medical therapy prior to arthroplasty. ResultsPJI following primary TKA was significantly more common among sBPH patients than among patients who did not have sBPH (4.1 vs 0.4%; P = .029), as were UTI (P = .029), and POUR (P < .001). Patients who had sBPH also had an increased incidence of UTI (P = .006) and POUR (P < .001) following THA. Among sBPH patients, those who started anti-sBPH medical therapy before TKA suffered significantly lower incidence of PJI than those who did not. ConclusionSymptomatic benign prostatic hyperplasia is a risk factor for PJI after primary TKA among men, and starting appropriate medical therapy before surgery can reduce the risk of PJI following TKA and postoperative urinary complications following TKA and THA.

Risk Factors for Periprosthetic Joint Infection after Shoulder Arthroplasty: Systematic Review and Meta-Analysis.

Periprosthetic joint infection (PJI) after shoulder arthroplasty is a devastating complication that requires several additional surgeries. The purpose of this study was to assess the evidence regarding risk factors for PJI and identify those that contribute to infection by performing a meta-analysis. We searched the PubMed, Embase, and Cochrane Library databases for studies that assessed the risk factors for infection after shoulder arthroplasty. After performing screening and quality assessment on the articles, we obtained two case-control studies and six retrospective cohort studies (total of 420 infected cases and 28,464 controls). Review Manager 5.4 was used to assess the heterogeneity and odds ratio for 20 different factors that broadly included demographic factors, perioperative factors, and comorbidities. Factors that are markedly associated with PJI after shoulder arthroplasty were male sex, operation history, revision arthroplasty, acute trauma, and non-osteoarthritis as a preoperative diagnosis. Statistical analysis revealed that diabetes mellitus, liver disease, alcohol overuse, iron-deficiency anemia, and rheumatoid arthritis were risk factors for PJI after shoulder arthroplasty. The result of analysis shows that several specific factors can be targeted to prevent infections after shoulder arthroplasty. Surgeons should consider the risk factors and perform the appropriate management for patients.

Incidence and Predictors of Prosthetic Joint Infection Following Primary Total Knee Arthroplasty: A 15-Year Population-Based Cohort Study.

One of the most devastating complications of total knee arthroplasty (TKA) is periprosthetic joint infection (PJI). Although many complications associated with TKA have decreased over time, the trends associated with PJI are less clear. Thus, the purpose of this study is to determine the incidence and risk factors for PJI after primary TKA. We performed a population-based cohort study using linked administrative databases in Ontario, Canada. We used a Cox proportional hazards model to analyze the effect of surgical factors and patient factors on the risk of developing PJI. In total, 129,613 patients aged 50+ received a primary TKA for osteoarthritis from 2002 to 2016 in Ontario, Canada. In total, 1.41% of patients underwent revision surgery for PJI. When accounting for censoring, the cumulative incidence for PJI was 0.51% (95% confidence interval 0.46-0.55) at 1 year, 1.12% (1.05-1.18) at 5 years, 1.49% (1.41-1.57) at 10 years, and 1.65% (1.55-1.75) at 15 years. The multivariable model revealed that male gender, younger age, type II diabetes, post-traumatic arthritis, patellar resurfacing, and discharge to convalescent care were associated with increased risk of PJI. The risk of PJI following TKA has decreased in small but steady increments over the past 15 years. Most PJIs are diagnosed within the first 2 years postoperatively, though a small group do continue to occur after 10 years. Overall, while the incidence of PJI has decreased slightly over the past 15 years, it remains among the most concerning complications of TKA and continued efforts aimed at further reducing its occurrence are needed.

Проблема периоперационного прогнозирования гнойных осложнений эндопротезирования тазобедренного и коленного суставов. Часть I

Abstract. Introduction The number of total joint arthroplasties performed globally has increased over time, and the projected growth for total knee arthroplasty (TKA) and total hip arthroplasty (THA) in 2030-2050 is associated with an increase in the number of surgical complications, such as periprosthetic joint infection (PJI). Perioperative modifiable risk factors can be altered to help improve rates of the devastating scenario. The purpose of the review was to systematize information on modifiable risk factors for PJI after THA and TKA and the ways to improve them. Material and methods Scientific literature search was performed via web-based services of PubMed, eLibrary, Scopus, Dimensions. The search depth was 30 years. Results Modifiable risk factors were shown to be associated with the patient's condition, medical history, current status, intraoperative and postoperative surgical options. Well-established modifiable risk factors include tobacco use, alcohol consumption, excess body weight, obesity, malnutrition, duration of surgery, postoperative wound hematoma. Discussion Timely diagnosed modifiable risk factors for PJI can be improved at the preparation stage, perioperatively and postoperatively. The interaction of inpatient and outpatient hospital services in the perioperative period is essential for reducing the risk of PJI after THA and TKA.

Could intermittent change of conventional dressing affect risk of periprosthetic joint infection after primary total joint arthroplasty?

Periprosthetic joint infection (PJI) is one of the most dreaded and challenging complications after total joint arthroplasty (TJA). The aim of this study was to evaluate the effect of keeping the dressing without change on the occurrence of PJI in patients undergoing TJA. 4877 Patients with a minimum follow-up of 90days were included to investigate the effect of dressing on the PJI occurring within 3months of surgery. Patients were divided into two consecutive groups as the intermittent change of traditional dressing (group 1-before 2019) and keeping dressing for 5days without change (group 2-after 2019). A backward stepwise logistic regression model was used to estimate independent risk factors for PJI. Group 1 and group 2 consisted of 4172 and 705 patients, and the numbers of diagnosed PJI cases in the groups were 40 (1.0%) and 10 (1.4%), respectively (p = 0.1). The backward stepwise logistic regression model analysis revealed that keeping the dressing unchanged and removing it after the first week postoperatively was not an independent risk factor for the occurrence of PJI. Older age, diabetes mellitus and coronary artery diseases were independent risk factors for PJI (p < 0.05). Our study results present, that intermittent change of conventional dressing is unnecessary, because it does not decrease the risk of PJI after TJA. Level III Therapeutic.

Risk factors for prosthetic joint infections following total hip arthroplasty based on 33,337 hips in the Finnish Arthroplasty Register from 2014 to 2018

Background and purpose — Periprosthetic joint infection (PJI) is a devastating complication and more information on risk factors for PJI is required to find measures to prevent infections. Therefore, we assessed risk factors for PJI after primary total hip arthroplasty (THA) in a large patient cohort. Patients and methods — We analyzed 33,337 primary THAs performed between May 2014 and January 2018 based on the Finnish Arthroplasty Register (FAR). Cox proportional hazards regression was used to estimate hazard ratios with 95% confidence intervals (CI) for first PJI revision operation using 25 potential patient- and surgical-related risk factors as covariates. Results — 350 primary THAs were revised for the first time due to PJI during the study period. The hazard ratios for PJI revision in multivariable analysis were 2.0 (CI 1.3–3.2) for ASA class II and 3.2 (2.0–5.1) for ASA class III–IV compared with ASA class I, 1.4 (1.1–1.7) for bleeding > 500 mL compared with < 500 mL, 0.4 (0.2–0.7) for ceramic-on-ceramic bearing couple compared with metal-on-polyethylene and for the first 3 postoperative weeks, 3.0 (1.6–5.6) for operation time of > 120 minutes compared with 45–59 minutes, and 2.6 (1.4–4.9) for simultaneous bilateral operation. In the univariable analysis, hazard ratios for PJI revision were 2.3 (1.7–3.3) for BMI of 31–35 and 5.0 (3.5–7.1) for BMI of > 35 compared with patients with BMI of 21–25. Interpretation — We found several modifiable risk factors associated with increased PJI revision risk after THA to which special attention should be paid preoperatively. In particular, high BMI may be an even more prominent risk factor for PJI than previously assessed.

Emergence of Antibiotic Resistance Across Two-Stage Revision for Periprosthetic Joint Infection

BackgroundThe current preferred treatment for chronic hip and knee periprosthetic joint infection (PJI) involves both surgical intervention and antibiotic treatment as part of a two-stage revision. The purpose of this study is to determine how often patients who underwent a two-stage revision for chronic PJI developed a subsequent antibiotic-resistant infection. MethodsWe retrospectively reviewed the clinical records of 142 patients who underwent a two-stage revision for a chronic culture-positive PJI from January 2014 to May 2019. Demographic data and risk factors for PJI were identified. Resistance was defined in accordance with microbiology laboratory report and minimum inhibitory concentration. Statistical analysis consisted of descriptive statistics and univariate analysis. ResultsOnly 10 of the 142 patients (7.04%) demonstrated emergence of resistance to antibiotics across their two-stage revision. At reimplantation, 25 (17.6%) patients had positive cultures. Of these, 16 patients presented with a novel organism and 9 patients had positive culture for the same organism as the initial infection. During the entire course of the two-stage revision, including spacer exchanges and irrigation and debridement procedures, 15 (10.56%) patients demonstrated persistent infections, whereas 25 (17.6%) patients presented with novel infections. 26 (18.3%) patients had reinfection of the same joint within one year. ConclusionIn the given cohort, there does not appear to be a major emergence of antibiotic resistant organisms in patients undergoing two-stage exchange arthroplasty and antibiotic treatment.

Preoperative asymptomatic bacteriuria in patients undergoing total joint arthroplasty in South Africa

ABSTRACT BACKGROUND: Periprosthetic joint infections (PJIs) are a leading cause of revision for total hip arthroplasty (THA) and total knee arthroplasty (TKA), worldwide. Asymptomatic bacteriuria (ASB) is an independent risk factor for PJIs; however, a paucity of data relevant to developing countries exists. The aim of this study was to describe the prevalence of preoperative ASB and the subsequent incidence of PJIs in patients undergoing total joint arthroplasty (TJA) in South Africa. METHODS: We retrospectively reviewed primary THA and TKA patients. All patients were screened for ASB preoperatively. Patients with positive urinalysis for ASB were identified and treated prior to surgery (treated-ASB). The primary outcome was ASB prevalence and the incidence of PJIs and other perioperative complications. Secondary outcomes included risk factors for ASB and subsequent PJIs in treated-ASB patients, respectively, compared to those with no evidence of ASB (non-ASB). Lastly, we aimed to compare the infective microorganisms cultured from preoperative urinalysis and perioperative sampling of PJIs. RESULTS: We included 179 patients (67 THA; 80% female) with mean follow-up of 2.45 years. ASB prevalence was 22% (n = 39). Patients older than 70 years were 3.5 times more likely to have ASB compared to younger patients (p = 0.005). The prevalence of ASB was 22% (n = 10) for human immunodeficiency virus (HIV) positive and 22% (n = 29) for HIV-negative patients (p = 0.084). PJI incidence was 8% (n = 3) in the treated-ASB and 1% (n = 1) in non-ASB. Treated-ASB patients had an 11.6-fold increased likelihood of PJIs than non-ASB patients (p = 0.046). pJi microorganisms cultured did not correlate to isolates from urine cultures. CONCLUSION: The prevalence of ASB in a TJA population in South Africa is 22% which is higher than reported findings worldwide. Although the value of preoperative antibiotic therapy for ASB remains controversial, there is a role for routine urinalysis preoperatively to identify patients predisposed to PJI. This is of specific significance in the management of HIV-positive patients and in developing countries to guide healthcare providers in resource-constrained environments. Level of evidence: Level 2. Keywords: total hip arthroplasty, total knee arthroplasty, asymptomatic bacteriuria, periprosthetic joint infection, developing country

Intra-Articular Hyaluronic Acid Injections Less Than 6 Months Before Total Hip Arthroplasty: Is It Safe? A Retrospective Cohort Study in 565 Patients

BackgroundIntra-articular hyaluronic acid (IAHA) can be injected into an osteoarthritic hip joint to reduce pain and to improve functionality. Several studies report IAHA to be safe, with minor adverse effects that normally disappear spontaneously within a week. However, intra-articular corticosteroids prior to total hip arthroplasty (THA) have been associated with increased infection rates. This association has never been investigated for IAHA and THA. We aimed to assess the influence of IAHA on the outcome of THA, with an emphasis on periprosthetic joint infection (PJI). MethodsAt a mean follow-up of 52 months (±18), we compared complication rates, including superficial and deep PJIs, of THA in patients who received an IAHA injection ≤6 months prior to surgery (injection group) with that of patients undergoing THA without any previous injection in the ipsilateral hip (control group). One hundred thirteen patients (118 hips) could be retrospectively included in the injection group, and 452 patients (495 hips) in the control group. ResultsNo differences in baseline characteristics nor risk factors for PJI between the 2 groups were found. The clinical outcomes in terms of VAS pain scores (1.4 vs 1.7 points, P = .11), modified Harris Hip Scores (77 vs 75 points, P = .09), and Hip disability and Osteoarthritis Outcome Scores (79 vs 76 points, P = .24) did not differ between the injection group and the control group. Also, complications in terms of persistent wound leakage (0% vs 1.2%, P = .60), thromboembolic events (0% vs 0.6%, P = 1.00), periprosthetic fractures (1.7% vs 1.2%, P = .65), and dislocations (0% vs 0.4%, P = 1.00) did not differ. However, in the injection group there was a higher rate of PJIs (4% vs 0%, P < .001) and postoperative wound infections (9% vs 3%, P = .01), compared to the control group. ConclusionOur findings suggest that IAHA performed 6 months or less prior to THA may pose a risk for increased rates of PJI. We recommend refraining from performing THA within 6 months after IAHA administration.

Titanium particles induce apoptosis by promoting autophagy in macrophages via the PI3K/Akt signaling pathway.

Chronic inflammation and infection in the tissue surrounding implants after total joint replacement is closely associated with the innate immune response to surgical implants. Wear particles are known to increase apoptosis and impair the innate immunity in macrophages, which can cause immunosuppression around the implants. Excessive autophagy can induce apoptosis. However, the link between autophagy and apoptosis in macrophages during chronic inflammation and infection remains unknown. In this study, we investigated the autophagy and apoptosis induced by titanium particles in RAW264.7 macrophages, and in the interface membrane of patients with late-onset periprosthetic joint infection (PJI). We found that titanium particles stimulated autophagy and apoptosis in macrophages. Inhibition of autophagy significantly reduced titanium particle-induced apoptosis in macrophages, which may be related to the PI3K/Akt signaling pathway. The secretion of inflammatory factors, such as IL-1β, IL-6, and TNF-α, decreased after inhibition of autophagy in titanium particle-stimulated macrophages, which may be caused by immune dysfunction due to titanium particle-induced autophagy and apoptosis in macrophages. Furthermore, our in vivo mouse calvarial model also showed that autophagy inhibitors lowered the rate of cell apoptosis. Our findings indicate that wear particle-induced apoptosis may be caused by enhanced autophagy in macrophages, which could potentially impair the local innate immunity in periprosthetic tissues and could be a risk factor for PJI. Based on these results, autophagy modulators may act as a new therapeutic option for PJI.

The global state of clinical research and trends in periprosthetic joint infection: A bibliometric analysis

ObjectivesThe purpose of this study was to estimate the trends and state of research in periprosthetic joint infection (PJI). MethodsPublications on PJI published between 1998 and 2018 were searched in the Web of Science database and analyzed using bibliometrics. The Altmetric score and Research Interest score were combined to provide a weighted count. The scope of the Altmetric score includes >16 weighted composite scores from websites such as Twitter, Facebook, and YouTube, whereas the Research Interest score is calculated from information derived from ResearchGate. ResultsTotal of 3245 published documents were identified. The largest contribution was made by the United States, with the institution contributing most being the Rothman Institute. The most relative articles were published by the Journal of Arthroplasty, whereas the highest citation frequency journal was Clinical Orthopaedics and Related Research. There was a positive correlation between citation counts and Research Interest scores, while the Altmetric Attention score showed a negative value for highly cited articles. ConclusionsBased on the current trends of globalization, there is a rising trend in publications on PJI, with the largest annual contributions made by the United States. The most influential contributors are researchers from the United States and Europe. Twitter is used as a platform to communicate knowledge by most PJI researchers. The most recent research has focused on the diagnosis and risk factors of PJI.

Risk Factors for Periprosthetic Joint Infection Following Total Ankle Replacement

Category:Ankle, Ankle ArthritisIntroduction/Purpose:A major complication of total ankle replacement (TAR) is a periprosthetic joint infection (PJI). The reported rate of this complication ranges between 2.4 – 8.9%. Identifying preoperative patient characteristics that correlate with an increased risk of PJI is of great interest to orthopaedic surgeons, as this may assist with appropriate patient selection. The purpose of this study is to systematically review the literature to identify risk factors that are associated with PJI following TAR.Methods:Utilizing the terms “(risk factor OR risk OR risks) AND (infection OR infected) AND (ankle replacement OR ankle arthroplasty)” we searched the PubMed/MEDLINE electronic databases. Using the PRISMA guidelines, studies were selected for inclusion if they assessed clinical risk factors for developing a PJI following TAR. In addition, the reference lists of included studies were also reviewed and compared to the collected studies to ensure that no pertinent papers were omitted. The quality of the included studies was then assessed using the American Academy of Orthopaedic Surgeons Clinical Practice Guideline and Systematic Review Methodology. Recommendations were made using the overall strength of evidence.Results:Eight studies met the inclusion criteria, totaling 12,704 patients who underwent a TAR. A limited strength of recommendation can be made that the following preoperative patient characteristics correlate with an increased risk of PJI following TAR: inflammatory arthritis, prior ankle surgery, age greater than 65 years, body mass index less than 19, peripheral vascular disease, chronic lung disease, hypothyroidism, and low preoperative AOFAS hindfoot scores. There is conflicting evidence in the literature regarding the effect of obesity, tobacco use, diabetes, and duration of surgery.Conclusion:Several risk factors were identified as having an association with PJI following TAR. These factors may alert surgeons that a higher rate of PJI is possible. However, because of the low level of evidence of reported studies, only a limited strength of recommendation can be ascribed to regard these as risk factors for PJI at this time.

Risk factors for periprosthetic joint infection following total ankle replacement

BackgroundIdentifying preoperative patient characteristics that correlate with an increased risk of periprosthetic joint infection (PJI) following total ankle replacement (TAR) is of great interest to orthopaedic surgeons, as this may assist with appropriate patient selection. The purpose of this study is to systematically review the literature to identify risk factors that are associated with PJI following TAR. MethodsUtilizing the terms “(risk factor OR risk OR risks) AND (infection OR infected) AND (ankle replacement OR ankle arthroplasty)” we searched the PubMed/MEDLINE electronic databases. The quality of the included studies was then assessed using the AAOS Clinical Practice Guideline and Systematic Review Methodology. Recommendations were made using the overall strength of evidence. ResultsEight studies met the inclusion criteria. A limited strength of recommendation can be made that the following preoperative patient characteristics correlate with an increased risk of PJI following TAR: inflammatory arthritis, prior ankle surgery, age less than 65 years, body mass index less than 19, peripheral vascular disease, chronic lung disease, hypothyroidism, and low preoperative AOFAS hindfoot scores. There is conflicting evidence in the literature regarding the effect of obesity, tobacco use, diabetes, and duration of surgery. ConclusionsSeveral risk factors were identified as having an association with PJI following TAR. These factors may alert surgeons that a higher rate of PJI is possible. However, because of the low level of evidence of reported studies, only a limited strength of recommendation can be ascribed to regard these as risk factors for PJI at this time.

Disruption of the Gut Microbiome Increases the Risk of Periprosthetic Joint Infection in Mice.

Periprosthetic joint infection (PJI) is one of the most devastating complications of total joint arthroplasty. Given the mortality and morbidity associated with PJI and the challenges in treating it, there has been increased interest in risk factors that can be modified before surgery. In this study, we used a novel mouse model to consider the role of the gut microbiome as a risk factor for PJI. (1) Does the state of the gut microbiota before surgery influence the likelihood of developing an established infection in a mouse model of PJI? (2) How does the state of the gut microbiota before surgery influence the local and systemic response to the presence of an established infection in a mouse model of PJI? Male C57Bl/6 mice were divided into two groups: those with modified microbiome [INCREMENT]microbiome (n = 40) and untreated mice (n = 42). In [INCREMENT]microbiome mice, the gut flora were modified using oral neomycin and ampicillin from 4 weeks to 16 weeks of age. Mice received a titanium tibial implant to mimic a joint implant and a local inoculation of Staphylococcus aureus in the synovial space (10 colony forming units [CFUs]). The proportion of animals developing an established infection in each group was determined by CFU count. The local and systemic response to established infection was determined using CFU counts in surrounding joint tissues, analysis of gait, radiographs, body weight, serum markers of inflammation, and immune cell profiles and was compared with animals that received the inoculation but resisted infection. A greater proportion of animals with disrupted gut microbiota had infection (29 of 40 [73%]) than did untreated animals (21 of 42 [50%]; odds ratio, 2.63, 95% CI, 1.04-6.61; p = 0.035). The immune response to established infection in mice with altered microbiota was muted; serum amyloid A, a marker of systemic infection in mice, was greater than in mice with disrupted gut microbiota with infection (689 µg/dL; range, 68-2437 µg/dL, p < 0.05); infection associated increases in monocytes and neutrophils in the spleen and local lymph node in untreated mice but not were not observed in mice with disrupted gut microbiota. The findings from this in vivo mouse model suggest that the gut microbiota may influence susceptibility to PJI. These preclinical findings support the idea that the state of the gut microbiome before surgery may influence the development of PJI and justify further preclinical and clinical studies to develop appropriate microbiome-based interventions.

Age alone is not a risk factor for periprosthetic joint infection

It is not known whether age alone or the increased comorbidities in older patients are responsible for the higher rate of periprosthetic joint infection (PJI) in older patients. To test the hypothesis that age alone is not a risk factor for PJI after total joint arthroplasty. This retrospective study included the review of 23,966 patients undergoing primary total hip and knee arthroplasty between January 1st, 2010 and December 31st, 2016 at a single institution. Patients who developed PJI, as defined by International Consensus Meeting criteria, were identified. All enrolled patients were divided into three groups that included patients aged <65 years (N= 12,761), 65-74 years (N= 6850) and ≥75 years (N= 4355). Using multivariate analysis and propensity score matching analysis, the possible association between age and PJI was examined. The incidence of PJI in the entire cohort was 0.72% (171 out of 23,966). Multivariate analysis adjusting for all variables, except age, demonstrated that, compared to the patients aged <65 years, there was no statistically significant difference in the rate of PJI for patients aged 65-74 years (odds ratio: 0.89; 95% confidence interval: 0.55-1.42; P= 0.62) or for patients aged ≥75 years (0.69; 0.36-1.32; P= 0.26). When adjusting for confounding variables, age alone is not a risk factor for PJI. Studies evaluating the influence of age on the incidence of PJI should take into account the other confounding variables that contribute to PJI.