Validation of a tool for estimating clinician recognition of ARDS using data from the international LUNG SAFE study

Meagan A Bechel, Fabiana Madotto, Adam R Pah, Giacomo Bellani, John G Laffey, Tài Pham, Luís A Nunes Amaral and Curtis H Weiss

PLOS Digital Health, 2023, vol. 2, issue 8, 1-14

Abstract: Under-recognition of acute respiratory distress syndrome (ARDS) by clinicians is an important barrier to adoption of evidence-based practices such as low tidal volume ventilation. The burden created by the COVID-19 pandemic makes it even more critical to develop scalable data-driven tools to improve ARDS recognition. The objective of this study was to validate a tool for accurately estimating clinician ARDS recognition rates using discrete clinical characteristics easily available in electronic health records. We conducted a secondary analysis of 2,705 ARDS and 1,261 non-ARDS hypoxemic patients in the international LUNG SAFE cohort. The primary outcome was validation of a tool that estimates clinician ARDS recognition rates from health record data. Secondary outcomes included the relative impact of clinical characteristics on tidal volume delivery and clinician documentation of ARDS. In both ARDS and non-ARDS patients, greater height was associated with lower standardized tidal volume (mL/kg PBW) (ARDS: adjusted β = -4.1, 95% CI -4.5 –-3.6; non-ARDS: β = -7.7, 95% CI -8.8 –-6.7, P

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pdig00:0000325

DOI: 10.1371/journal.pdig.0000325

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