Unknown

Dataset Information

External Validity of Electronic Sniffers for Automated Recognition of Acute Respiratory Distress Syndrome.


ABSTRACT:

Introduction

Automated electronic sniffers may be useful for early detection of acute respiratory distress syndrome (ARDS) for institution of treatment or clinical trial screening.

Methods

In a prospective cohort of 2929 critically ill patients, we retrospectively applied published sniffer algorithms for automated detection of acute lung injury to assess their utility in diagnosis of ARDS in the first 4 ICU days. Radiographic full-text reports were searched for "edema" OR ("bilateral" AND "infiltrate") and a more detailed algorithm for descriptions consistent with ARDS. Patients were flagged as possible ARDS if a radiograph met search criteria and had a PaO2/FiO2 or SpO2/FiO2 of 300 or 315, respectively. Test characteristics of the

SUBMITTER: McKown AC 

PROVIDER: S-EPMC5821594 | biostudies-literature | 2019 Nov-Dec

REPOSITORIES: biostudies-literature