Accuracy of International Classification of Diseases, 10th Revision Codes for Identifying Sepsis: A Systematic Review and Meta-Analysis.

ABSTRACT: Administrative databases are increasingly used in research studies to capture clinical outcomes such as sepsis. This systematic review and meta-analysis examines the accuracy of International Classification of Diseases, 10th revision (ICD-10), codes for identifying sepsis in adult and pediatric patients.

Data sources

We searched MEDLINE, EMBASE, Web of Science, CENTRAL, Epistemonikos, and McMaster Superfilters from inception to September 7, 2021.

Study selection

We included studies that validated the accuracy of sepsis ICD-10 codes against any reference standard.

Data extraction

Three authors, working in duplicate, independently extracted data. We conducted meta-analysis using a random effects model to pool sensitivity, specificity, positive predictive value (PP

SUBMITTER: Liu B 

PROVIDER: S-EPMC9649267 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature