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Multidisciplinary Teams for the Management of Infective Endocarditis: A Systematic Review and Meta-analysis

Anne-Sophie Roy, Hamila Hagh-Doust, Ahmed Abdul Azim, Juan J. Cáceres, Justin T. Denholm, Mei Qin Dong, Madeline King, Christina Yen, Todd C. Lee, Emily G. McDonald

2023Open Forum Infectious Diseases45 citationsDOIOpen Access PDF

Abstract

Background: The management of infective endocarditis (IE) is complex owing to a high burden of morbidity and mortality. Recent guidelines recommend dedicated multidisciplinary teams (MDTs) for the management of IE. The aim of this systematic review and meta-analysis was to evaluate and summarize the effect of MDT management on patient outcomes. Methods: A systematic review was performed and, where feasible, results were meta-analyzed; otherwise, results were summarized narratively. Data extraction and quality assessment were performed in duplicate. Restricted maximum likelihood random effects models were used to calculate unadjusted risk ratios and 95% CIs. Results: = 62%) for mortality in favor of a dedicated MDT as compared with usual care. Length of stay was variable, with 55% (10/18) of studies reporting an increased length of stay. Most studies (16/18, 88.9%) reported a decreased time to surgery and an increased rate of surgery (13/18, 73%). No studies reported on patient-reported outcomes. Conclusions: This is the first systematic review and meta-analysis to assess the impact of MDT management on IE. The sum of evidence demonstrated a significant association between MDTs and improved short-term mortality. Further research is needed to evaluate benefits of virtual MDT care, cost-effectiveness, and the impact on patient-reported outcomes and long-term mortality.

Topics & Concepts

MedicineMeta-analysisMultidisciplinary approachSystematic reviewRandom effects modelMEDLINEInfective endocarditisIntensive care medicineEmergency medicineSurgeryInternal medicinePolitical scienceSociologySocial scienceLawInfective Endocarditis Diagnosis and ManagementNeutropenia and Cancer InfectionsAntibiotic Resistance in Bacteria
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