Risk factors for reoperation due to periprosthetic joint infection after elective total hip arthroplasty: a study of 35,056 patients using linked data of the Swedish Hip Arthroplasty Registry (SHAR) and Swedish Perioperative Registry (SPOR)

Predicting periprosthetic joint infection in primary total knee arthroplasty: a machine learning model integrating preoperative and perioperative risk factors

BACKGROUND

Periprosthetic joint infection leads to significant morbidity and mortality after total knee arthroplasty. Preoperative and perioperative risk prediction and assessment tools are lacking in Asia. This study developed the first machine learning model for individualized prediction of periprosthetic joint infection following primary total knee arthroplasty in this demographic.

METHODS

A retrospective analysis was conducted on 3,483 primary total knee arthroplasty (81 with periprosthetic joint infection) from 1998 to 2021 in a Chinese tertiary and quaternary referral academic center. We gathered 60 features, encompassing patient demographics, operation-related variables, laboratory findings, and comorbidities. Six of them were selected after univariate and multivariate analysis. Five machine learning models were trained with stratified 10-fold cross-validation and assessed by discrimination and calibration analysis to determine the optimal predictive model.

RESULTS

The balanced random forest model demonstrated the best predictive capability with average metrics of 0.963 for the area under the receiver operating characteristic curve, 0.920 for balanced accuracy, 0.938 for sensitivity, and 0.902 for specificity. The significant risk factors identified were long operative time (OR, 9.07; p = 0.018), male gender (OR, 3.11; p < 0.001), ASA > 2 (OR, 1.68; p = 0.028), history of anemia (OR, 2.17; p = 0.023), and history of septic arthritis (OR, 4.35; p = 0.030). Spinal anesthesia emerged as a protective factor (OR, 0.55; p = 0.022).

CONCLUSION

Our study presented the first machine learning model in Asia to predict periprosthetic joint infection following primary total knee arthroplasty. We enhanced the model's usability by providing global and local interpretations. This tool provides preoperative and perioperative risk assessment for periprosthetic joint infection and opens the potential for better individualized optimization before total knee arthroplasty.

The Avantage ® dual mobility cup in primary total hip arthroplasty: A registry study

Background

Avantage Cup has been widely used in dual mobility implants. However, in Swedish Registry, the outcome of the Avantage Cup is reported with higher implants revision compared to control. The aim of our study was to verify if the same results are present in the Registry of Prosthetic Orthopedic Implants (RIPO) of Emilia Romagna (ER, Italy), as the Avantage cup was the most implanted dual mobility cup for a long follow-up reported in this Registry (2000-2012). Furthermore, we assessed the survival rate of the implant over the time.

Methods

We included all patients that underwent a primary THA using the Avantage cup during the period 2000-2020 in RIPO Registry. The survivorship of the primary THA implants was calculated and plotted according to Kaplan-Meier method.

Results

886 Avantage cups were included in the analysis. During the observational period 44 hips were revised. The most common reasons for revision were: periprosthetic fractures (PPF) (n = 7, 0.8 %), deep infection (n = 7, 0.8 %), and cup aseptic loosening (n = 13, 1.5 %).The survival rate of the implant was 96.8 % (95.3-97.8) at 5 years, 95.7 at 10 years (94.0-97.0) and 92.1 at 15 years (88.5-94.6).

Conclusion

In conclusion, this study has demonstrated that the Avantage cup in primary hip arthroplasty implanted with a "friendly" femoral stem granted satisfactory long-term survival. Therefore, in the Swedish Registry, the cause of the poor results presented for Avantage Cup could be the thick, rough neck stem of the widely used Lubinus stem.

Outcomes of Regional Block in Revision Total Joint Arthroplasty for Prosthetic Joint Infection

INTRODUCTION

Infection is among the most common reasons for revision after a total joint arthroplasty (TJA) and is associated with notable morbidity and mortality rates. As the demand for TJA increases, a concurrent increase in the prevalence of periprosthetic joint infection (PJI) is also expected to rise. While previous studies have explored differences in postoperative outcomes between general and spinal anesthesia, there is limited data on the use of regional blocks in patients undergoing revision joint arthroplasty for PJI. This study evaluated the postoperative outcomes of patients undergoing revision TJA for PJI using regional blocks.

METHODS

Data from 518 patients were retrospectively collected. Patients included in the study had undergone revision TJA for PJI from January 2004 to January 2023 at a single institution. Patients undergoing same-day bilateral revisions, above-knee amputations, and aseptic revisions were excluded. Postoperative complications investigated included local complications, postoperative transfusion, wound complication, readmission, sepsis, systemic infection, spinal infection, death, persistent PJI, periprosthetic fracture, and unplanned revision surgery. Chi-square analysis was used to compare postoperative complications between procedures that used spinal or general anesthesia with regional blocks and those with spinal or general anesthesia without regional blocks.

RESULTS

Of the 518 patients who underwent revision TJA, 63 (12.2%) used a regional block. After surgery, 12.7% (n = 8) of patients with regional block and 23.5% (n = 107) of patients without regional block experienced persistent PJI (P = 0.076). No significant differences in wound complication (P = 0.333), readmission (P = 0.998), revision surgery (P = 0.783), and death (P = 0.588) were found between those with and without regional block use. Sepsis (P = 0.224), systemic infection (P = 0.220), and spinal infection (P = 0.998) rates within 1 year after revision TJA for PJI surgery were comparable between the two groups. No local infections were observed at the block site. A subanalysis comparing spinal and general anesthesia demonstrated comparable persistent PJI postoperatively and complication rates; however, spinal anesthesia use was associated with shorter length of stay (P = 0.003) and lower transfusion rates (P = 0.002).

CONCLUSION

The results of this study suggest that the use of regional block is not associated with an increased probability of postoperative persistent PJI, local wound complication, readmission, spinal/systemic/other infections, death, or revision surgery. Surgeons can comfortably choose regional block as a safe option for revision surgery for PJI. Consistent with previous research, patients who received spinal anesthesia had shorter hospital stays and lower transfusion rates when compared with those who received general anesthesia.

Risk of surgical site infection after hip hemiarthroplasty of femoral neck fractures: a systematic review and meta-analysis

INTRODUCTION

Surgical site infection (SSI) is a major complication following hemiarthroplasty surgery for displaced neck of femur fractures. Our aim is to systematically analyse relevant peer-reviewed studies for recent clinical information on the quantitative risk of surgical site infection (SSI) after hemiarthroplasty (HA) of hip fracture patients and on the factors which influence the SSI rates.

METHODS

A comprehensive search of electronic databases (PubMed, Cochrane) was performed for clinical articles published between 2005 and 2023 and systematically reviewed with a defined list of inclusion and exclusion criteria. The methodology was undertaken and reported according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement checklist, while the detailed search strings and study protocol were published in PROSPERO (CRD42023458150). The pooled risks of SSIs were calculated in both primary and subgroup analyses.

RESULTS

The primary analysis showed a pooled superficial SSI rate after hemiarthroplasty of 1.3% (95% confidence interval (CI) 0.71; 2.04) from 17 studies with 29,288 patients and a deep SSI rate of 2.14% (1.87; 2.42) from 29 studies with 192,392 patients. Higher infection rates were observed with longer follow-up periods for deep SSI: pooled rates increased from 1.24% (0.73; 1.87) at 1 month to 2.64% (2.03; 3.31) at 12 months. Additionally, studies using defined criteria for infection diagnosis reported higher rates compared to undefined criteria: pooled deep SSI rates were 2.91% (1.40; 4.92) vs. 0.62% (0.34; 0.96) for defined vs. undefined criteria respectively, and 3.18% (2.23; 4.29) vs. 1.7% (1.44; 1.99) for superficial SSI.

CONCLUSIONS

The results of this study demonstrate a substantial SSI risk and a high variability of the infection rates following hemiarthroplasty for hip fracture patients. A standardization of infection criteria and an extended follow-up period are advisable and should be considered in guidelines aimed at improving the standard of care for these patients.

Microbiological profile of patients with orthopedic implant-associated infection in the post-COVID period

Background. The etiological structure of implant-associated infection and antibiotic resistance of pathogens are important when choosing empirical antibiotic therapy. COVID-19 pandemic and increased consumption of antibiotics by the population could provoke an increase in antibiotic resistance.The aim of the work. To compare the spectrum of leading pathogens of implantassociated infection in the pre- and post-Covid period and to assess antibiotic resistance.Materials and methods. A continuous retrospective study of biomaterial samples from traumatology and orthopedic patients with implant-associated infection was carried out for 2018–2019 and 2021–2022. The sample consisted of 548 microorganism strains (n = 237 and n = 317, respectively) in 442 cases of infectious complications. The antibiotic resistance of all isolated microorganisms, including those from microbial associations, was assessed.Results. The leading pathogen of monomicrobial implant-associated infection in both study periods was Staphylococcus epidermidis (33–37 %). In 2021–2022, the proportion of microbial associations increased (from 12.5 to 17.5 %; p = 0.147) with the appearance of fungi in the microbial landscape. In the post-Covid period, the increase in Staphylococcus aureus resistance to tetracycline and doxycycline was revealed; the isolation of methicillin-resistant strains among Staphylococcus aureus decreased from 4 cases (out of 187) to 3 (out of 232); 100 % sensitivity to rifampicin and co-trimoxazole was maintained. An increase in Staphylococcus epidermidis resistance to all tested antibiotics was detected (statistically significant increase in resistance to fluoroquinolones; p = 0.002–0.003) with the isolation of methicillin-resistant strains in 80.5% and 80.9% of cases, respectively. All staphylococcal isolates were susceptible to vancomycin and linezolid. Enterobacteriaceae representatives showed a decrease in resistance to carbapenems and an increase in resistance to co-trimoxazole; in Pseudomonas aeruginosa and Acinetobacter baumannii, there is an increase in resistance to carbapenems and fluoroquinolones. All gram-negative microorganisms were sensitive to colistin.Conclusion. The high frequency of isolation of methicillin-resistant staphylococci determines the choice of vancomycin for empirical therapy. Increasing resistance of staphylococci to fluoroquinolones may limit their use. Increasing resistance of gram-negative bacteria and a narrow spectrum of antibiotics acting on carbapenemase producers may reduce the effectiveness of therapy.

Diagnostic value of magnetic resonance imaging for patients with periprosthetic joint infection: a systematic review

PURPOSE

The purpose of this study was to provide a critical systematic review of the role of magnetic resonance imaging (MRI) as a noninvasive method to assess periprosthetic joint infections (PJIs).

METHODS

The electronic databases PubMed and EMBASE were searched, since their inception up to March 27, 2022. The included studies evaluated the reproducibility and accuracy of MRI features to diagnose PJIs. The article quality assessment was conducted by the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) and Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2).

RESULTS

Among 1909 studies identified in the initial search, 8 studies were eligible for final systematic review. The included studies evaluated the reproducibility and accuracy of MRI features to diagnose PJIs. Seven of 8 studies showed good to excellent reliability, but only one article among them in which accuracy was evaluated had a low risk of bias. The intraclass correlation coefficient (ICC) and Cohen coefficient (κ) varied between 0.44 and 1.00. The accuracy varied between 63.9% and 94.4%. Potential MRI features, such as lamellated hyperintense synovitis, edema, fluid collection, or lymphadenopathy, might be valuable for diagnosing PJIs.

CONCLUSION

The quality of the evidence regarding the role of MRI for PJIs diagnosis was low. There is preliminary evidence that MRI has a noteworthy value of distinguishing suspected periprosthetic joint infection in patients with total knee arthroplasty or total hip arthroplasty, but the definition of specific MRI features related to PJIs diagnosis lacks consensus and standardization. Large-scale studies with robust quality were required to help make better clinical decisions in the future.

Defining Clinically Meaningful Subgroups for Risk Stratification in Patients Undergoing Revision Total Hip Arthroplasty: A Combined Unsupervised and Supervised Machine Learning Approach

BACKGROUND

Studies developing predictive models from large datasets to risk-stratify patients under going revision total hip arthroplasties (rTHAs) are limited. We used machine learning (ML) to stratify patients undergoing rTHA into risk-based subgroups.

METHODS

We retrospectively identified 7,425 patients who underwent rTHA from a national database. An unsupervised random forest algorithm was used to partition patients into high-risk and low-risk strata based on similarities in rates of mortality, reoperation, and 25 other postoperative complications. A risk calculator was produced using a supervised ML algorithm to identify high-risk patients based on preoperative parameters.

RESULTS

There were 3,135 and 4,290 patients identified in the high-risk and low-risk subgroups, respectively. Each group significantly differed by rate of 30-day mortalities, unplanned reoperations/readmissions, routine discharges, and hospital lengths of stay (P < .05). An Extreme Gradient Boosting algorithm identified preoperative platelets < 200, hematocrit > 35 or < 20, increasing age, albumin < 3, international normalized ratio > 2, body mass index > 35, American Society of Anesthesia class ≥ 3, blood urea nitrogen > 50 or < 30, creatinine > 1.5, diagnosis of hypertension or coagulopathy, and revision for periprosthetic fracture and infection as predictors of high risk.

CONCLUSION

Clinically meaningful risk strata in patients undergoing rTHA were identified using an ML clustering approach. Preoperative labs, demographics, and surgical indications have the greatest impact on differentiating high versus low risk.

LEVEL OF EVIDENCE

III.

Microbiological Profiles of Patients with Periprosthetic Joint Infection of the Hip or Knee

Periprosthetic joint infections (PJI) are one of the most devastating consequences after total joint arthroplasty. We sought to analyze the causative pathogens of patients with PJI to get better insights and improve treatment. We performed a retrospective study of all patients with PJI of the hip and knee with microbiological detection of a causative pathogen at a tertiary endoprothetic referral center between January 2016 and March 2021. A total of 432 cases with PJI (hip: n = 250; knee: n = 182) were included. The most common causative pathogen were coagulase-negative staphylococci (n = 240; 44.2%), of which Staphylococcus epidermidis (n = 144; 26.7%) was the most frequently detected, followed by S. aureus (n = 77; 14.3%) and enterococci (n = 49; 9%). Gram-negative pathogens and fungi could be detected in 21% (n = 136) and 2.4% (n = 13) of all cases. Overall, 60% of all coagulase-negative staphylococci were oxacillin-resistant, while none of these displayed to be vancomycin-resistant. In summary, the majority of pathogens in cases of PJI could be identified as coagulase-negative staphylococci. For empirical therapy vancomycin might provide the highest antimicrobial coverage in case of an unknown pathogen.