ICM Chinese translation is available online at the following link
Reevaluating Current Cutoffs for Acute Periprosthetic Joint Infection: Current Thresholds are Insensitive. Chi Xu, Timothy L. Tan, Feng-Chih Kuo, Karan Goswami, Qiaojie Wang, Javad Parvizi. J Arthroplasty 2019, doi: 10.1016/j.arth.2019.06.048.
Summary and editorial by Dr. Marjan Wouthuyzen-Bakker
In this paper of the week, Xu et al. evaluated the sensitivity of serum CRP (> 100 mg/L), synovial leucocyte count (> 10,000 cells/μL) and its percentage of PMN (>90%) in the diagnosis of an acute PJI. Intraoperative cultures were used as a gold standard. 218 patients were evaluated. The reported sensitivity was 55%, 60% and 51%, respectively. Combining all 3 tests resulted in a sensitivity of 84%. Sensitivity greatly depended on the microorganism causing the infection, with the lowest sensitivity observed in infections caused by Coagulase Negative Staphylococci.
Sensitive markers to diagnose an acute PJI are needed in our field in order to decide whether a DAIR procedure should be performed or if a conservative, “wait and see” approach is an acceptable option. The study performed by Xu et al. clearly demonstrates that serum CRP and synovial leucocyte counts are insufficient and should not be used in this decision making process. Techniques with a higher diagnostic accuracy to detect a bacterial infection are needed, especially with a high negative predictive value. Until then, a DAIR should be performed as soon as a clinical suspicion of an infection arises, and should not be postponed .
Although the specificity of the studied biomarkers were not evaluated in the study of Xu et al., it is important to realize that according to the current diagnostic criteria, a proportion of the acute PJIs will probably be misqualified as “culture negative PJIs” based on serological testing [3-4]. As a result, these patients will be subjected to unnecessary long-term antibiotic treatment. In contrast to chronic infections, planktonic, free-floating bacteria are abundantly present in acute infections, and these types of bacteria are easy to culture. Thus, a PJI can be ruled out in patients with negative cultures, provided that a sufficient number of cultures were obtained and the patient was not on antibiotic treatment. To conclude about the specificity of the current markers, a control arm of patients with a clinical suspicion of an acute PJI, but with negative cultures during DAIR should be performed.
- Triantafyllopoulos GK, Poultsides LA, Sakellariou VI et al. Irrigation and debridement for periprosthetic infections of the hip and factors determining outcome. Int Orthop. 2015; 39(6):1203-9.
- Triantafyllopoulos GK, Poultsides LA, Zhang W et al. Periprosthetic knee infections treated with irrigation and debridement: outcomes and preoperative predictive factors. J Arthroplasty. 2015; 30(4):649-57.
- Bedair H, Ting N, Jacovides C et al. The Mark Coventry Award: diagnosis of early post-operative TKA infection using synovial fluid analysis. Clin Orthop Relat Res 2011; 469: 34-4-.
- Kim SG, Kim JG, Jang KM et al. Diagnostic value of synovial white blood cell count and serum C-reactive protein for acute periprosthetic joint infection after knee arthroplasty. J Arthoplasty 2017; 32: 3724-8.
Paper of the week: General anesthesia might be associated with early periprosthetic joint infection: an observational study of 3,909 arthroplasties. Scholten R, Leijtens B, Hannink G, Kamphuis ET, Somford MP, van Susante JLC. Acta Orthop. 2019 Jul 24:1-9. doi: 10.1080/17453674.2019.1644069.
Summary by Dr Sreeram Penna
This single institution retrospective observational study aims to identify if an association exists with choice of anesthesia and 3-month periprosthetic joint infection risk in total joint arthroplasty patients. Final cohort of 3909 patients were included in the study. It consists of 2,111 (54%) hips and 1798 (46%) Knees. Of 3909 patients 1630 (42%) received general anesthesia and 2,279 (58%) received spinal anesthesia. Researchers utilized propensity score-matched univariable logistic regression analysis to control for allocation bias. 47 early PJI discovered utilizing MSIS criteria in total cohort. Of these 28 (1.7%) occurred in general anesthesia group and 19 (0.8%) occurred in spinal anesthesia group. Statistical analysis using multivariable logistic regression model demonstrated an odds ratio for PJI of 2.0 (95% CI 1.0 – 3.7) after general anesthesia relative to the propensity score-matched patients who received spinal anesthesia.
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Paper of the week: Periprosthetic joint infection in aseptic total hip arthroplasty revision. Renard G, Laffosse JM, Tibbo M, Lucena T, Cavaignac E, Rouvillain JL, Chiron P, Severyns M, Reina N. Int Orthop. 2019 Jun 25. doi: 10.1007/s00264-019-04366-2.
Summary by Dr Sreeram Penna
Aim of this retrospective study was to evaluate incidence of occult infection in presumed aseptic total hip arthroplasty revisions and to identify associated risk factors. Researchers retrospectively reviewed all patients who underwent aseptic total hip revision between 2009 and 2013. Total of 523 cases (498 patients) were identified. The main indications for revision were aseptic loosening(283/523, 54%), instability (91/523, 17%), periprosthetic fracture (56/523, 11%), wear and osteolysis (35/523, 7%), unexplained pain (12/523, 2%), implant fracture (13/523, 3%), and others (metallosis, squeaking, tumour, aseptic lymphocyte-dominated vascular-associated lesion, psoas impingement)(33/523, 6%). Unexpected positive cultures (UPC) were found in 78 cases (15%). Of these 58 cases were monomicrobial, and 20 cases polymicrobial. Further review identified 36 cases (7%) with positive cultures as true infections and other 42 cases (8%) as contaminants. Infection was identified in 15/91 (16%) cases who underwent revision for instability. Similarly, incidence of infection was 12% in patients with periprosthetic fracture, 3.2% in aseptic loosening and 2.8% in polyethylene wear and osteolysis group. On further analysis researchers found statistically significant difference in early dislocation (with in 3 months) rates in infection group (31%) compared to non-infection group (7%) (p<0.001).