| Autor: |
Von Rehlingen-Prinz, Fidelius, Röhrs, Michael, Sandiford, Nemandra, Garcia, Eva Gomez, Schulmeyer, Juan, Salber, Jochen, Lausmann, Christian, Gehrke, Thorsten, Citak, Mustafa |
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| Zdroj: |
Archives of Orthopaedic & Trauma Surgery; Dec2024, Vol. 144 Issue 12, p5157-5164, 8p |
| Abstrakt: |
Introduction: The purpose of this study was to evaluate the management and results of our standarized protocol for preoperative identification of MRSA colonisation in patients undergoing primary total hip and knee replacement procedures. Methods: Following hospital protocol, between January 2016 and June 2019 37,745 patients awaiting elective joint replacement underwent a standardized questionnaire to assess the risk of MRSA infection, identifying patients requiring preoperative MRSA screening. An evaluation of the questionnaire identified effective questions for identifying infected patients. Furthermore, an analysis evaluated the impact of comorbidities or Charlson Comorbidity Index scores on positive MRSA colonization. Additionally, we evaluated the cost savings of targeted testing compared to testing all surgery patients. Results: Of the 37,745 patients, 8.057 (21.3%) were swabbed, with a total of 65 (0.81%) positive tests. From this group 27 (36.48%) who were treated were negative before surgery. Some of the questionnaire results were consistently associated with a higher chance of colonization, including hospitalization during the past year (47,7%), previous history of MRSA (44,6%), and agriculture or cattle farming related work (15,4%). By selectively testing high-risk patients identified through the questionnaire, we achieved a 79% reduction in costs compared to universal MRSA screening. Conclusion: Our results suggest that the simple and standardized questionnaire is a valuable tool for preoperative screening, effectively identifying high-risk patients prone to MRSA colonisation. The risk of periprosthetic joint infection (PJI) and its associated sequelae may be reduced by this approach. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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