Unknown

Dataset Information

Performance of bedside tools for predicting infection-related mortality and administrative data for sepsis surveillance: An observational cohort study


ABSTRACT:

Background

Measuring sepsis incidence and associated mortality at scale using administrative data is hampered by variation in diagnostic coding. This study aimed first to compare how well bedside severity scores predict 30-day mortality in hospitalised patients with infection, then to assess the ability of combinations of administrative data items to identify patients with sepsis.

Methods

This retrospective case note review examined 958 adult hospital admissions between October 2015 and March 2016. Admissions with blood culture sampling were matched 1:1 to admissions without a blood culture. Case note review data were linked to discharge coding and mortality. For patients with infection the performance characteristics of Sequential Organ Failure Assessment (SOFA), Nationa

SUBMITTER: Bateson M 

PROVIDER: S-EPMC9980760 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature