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dc.contributor.authorŞahin, Rıfat
dc.contributor.authorBudin, Maximilian
dc.contributor.authorSuero, Eduardo M.
dc.contributor.authorGehrke, Thorsten
dc.contributor.authorÇıtak, Mustafa
dc.date.accessioned2025-02-19T10:23:41Z
dc.date.available2025-02-19T10:23:41Z
dc.date.issued2025en_US
dc.identifier.citationŞahin, R., Budin, M., Suero, E. M., Gehrke, T., & Citak, M. (2025b). Differences in Microorganism Profile in Periprosthetic Joint Infections of the Knee in Patients Affected by Chronic Kidney Disease. The Journal of Arthroplasty. https://doi.org/10.1016/j.arth.2024.12.029en_US
dc.identifier.issn0883-5403
dc.identifier.urihttps://doi.org/10.1016/j.arth.2024.12.029
dc.identifier.urihttps://hdl.handle.net/11436/10020
dc.description.abstractBackground: Periprosthetic joint infections (PJIs) are one of the most devastating complications of total knee arthroplasty (TKA). Patients who have chronic kidney disease (CKD) are more vulnerable to PJI. We aimed to answer the following questions: 1) What are the commonly observed pathogens in PJI after TKA in CKD patients, and do they differ from those in non-CKD patients? and 2) What are the risk factors for PJI after TKA in CKD patients? Methods: Patients who underwent surgery due to a chronic PJI of the TKA were retrospectively enrolled. The patients were divided into two groups as follows: patients those who had and those who did not have CKD. Demographic data and comorbidities of the patients were recorded. The microorganisms responsible for PJI were identified based on the biopsy results, and comparisons were made between the two groups. There were 331 patients in the CKD group and 2,238 in the control group. Patients who had CKD were significantly older (P < 0.001) and had higher Charlson Comorbidity Index scores (P < 0.001). Results: Binary logistic regression identified multiple microorganisms within the CKD group. The most common microorganisms in PJI were as follows: Staphylococcus epidermidis (odds ratio [OR] 1.38; P = 0.030; 95% confidence intervals (CI) 1.03 to 1.86), Staphylococcus aureus (OR 1.88; P < 0.001; 95% CI 1.36 to 2.61), Enterococcus faecalis (OR 2.39; P < 0.001; 95% CI 1.44 to 3.94), Escherichia coli (OR 1.76; P = 0.028; 95% CI 1.06 to 2.94), methicillin-resistant Staphylococcus aureus (OR 3.04; P = 0.024; 95% CI 1.15 to 8.02), polymicrobial infections (OR 1.52; P < 0.001; 95% CI 1.12 to 2.06). Conclusion: Patients who had PJI and CKD demonstrated a higher incidence of infections with specific microorganisms, including Staphylococci, enterococci, gram-negative bacteria, and methicillin-resistant Staphylococcus aureus. To mitigate the high PJI risk in CKD patients, a treatment plan based on this microbial profile and a multidisciplinary assessment of CKD comorbidities before TKA is recommended.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArthroplastyen_US
dc.subjectChronic kidney diseaseen_US
dc.subjectDialysisen_US
dc.subjectMicroorganism profileen_US
dc.subjectPeriprosthetic joint infectionen_US
dc.subjectRenal diseaseen_US
dc.titleDifferences in microorganism profile in periprosthetic joint infections of the knee in patients affected by chronic kidney diseaseen_US
dc.typearticleen_US
dc.contributor.departmentRTEÜ, Tıp Fakültesi, Cerrahi Tıp Bilimleri Bölümüen_US
dc.contributor.institutionauthorŞahin, Rıfat
dc.identifier.doi10.1016/j.arth.2024.12.029en_US
dc.relation.journalJournal of Arthroplastyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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