Biotechnol Appl Biochem. 2022 Dec 27. doi: 10.1002/bab.2433. Online ahead of print.
ABSTRACT
Invasive infections caused by methicillin-resistant Staphylococcus aureus (MRSA) are associated with high mortality and morbidity. The sooner the pathogen is determined, the better it is beneficial to patient. However, routine laboratory inspections are time-consuming and laborious. A thorough research was conducted in PubMed, Web of Science (until June 2021) to identify studies evaluating the accuracy of MRSA identification by MALDI-TOF-MS. STATA 15.0 software was used to analyze the pooled results of sensitivity, specificity and 95% confidence intervals (CI). The summary receiver operating characteristic curves (SROC) and area under the curve (AUC) were utilized to show the overall performance of MALDI-TOF-MS. Fifteen studies involving 2,471 isolates were included in this study after the final selection in this meta-analysis. Using the random effects model forest plot to summarize the overall statistics, the sensitivity of MALDI-TOF MS for identifying MRSA was 92% (95% CI, 81%-97%), and the specificity was 97% (95% CI, 89%-99%). In the SROC curve, the AUC reached 0.99 (95% CI, 97%-99%). Deeks’ test showed no significant publication bias in this meta-analysis. Compared with clinical reference methods, MALDI-TOF MS identification of MRSA shows a higher degree of sensitivity and specificity. This article is protected by copyright. All rights reserved.
PMID:36575908 | DOI:10.1002/bab.2433
