医学
万古霉素
利奈唑啉
内科学
耐甲氧西林金黄色葡萄球菌
重症监护医学
不利影响
皮疹
肺炎
金黄色葡萄球菌
遗传学
生物
细菌
作者
Sujata Purja,Minji Kim,Yomna Elghanam,Hae Jung Shim,Eun Young Kim
摘要
Abstract Objective To summarize the evidence on the efficacy and safety of vancomycin compared with those of alternative treatments in adult patients with methicillin‐resistant Staphylococcus aureus (MRSA) infection. Methods PubMed, Embase, and Web of Science were searched up to December 15, 2023, for systematic reviews and meta‐analyses comparing vancomycin with alternative MRSA treatments. Primary outcomes included clinical cure and microbiological eradication rates. Organ‐specific safety outcomes were assessed. Summary estimates were recalculated using a random‐effects model. Evidence was graded using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) tool. This study was registered in PROSPERO (CRD42022340359). Results This umbrella review included 19 studies and 71 meta‐analyses (46 efficacy and 25 safety) comparing vancomycin with 10 alternative treatments across different MRSA infection types and populations. GRADE assessment showed that 29.58% of the meta‐analyses were of high quality. Linezolid and daptomycin showed higher efficacy in MRSA‐induced skin and soft tissue infections and pneumonia (moderate evidence quality) and bacteremia (very low evidence quality), respectively, compared with that of vancomycin. Cephalosporins had a higher risk of nausea, whereas linezolid had a higher risk of nausea, diarrhea, and thrombocytopenia than that of vancomycin. Vancomycin posed a higher risk of rash, pruritus, red man syndrome, and nephrotoxicity than that of alternatives. Conclusions The quality of evidence supporting the higher efficacy of alternative treatment over vancomycin for MRSA infection was not high. Given varying safety profiles and advancements in therapeutic monitoring, careful consideration of patient‐specific factors and pharmacokinetics is crucial when selecting treatment alternatives to vancomycin.
科研通智能强力驱动
Strongly Powered by AbleSci AI