Dynamic early warning scores for predicting clinical deterioration in patients with respiratory disease.

ABSTRACT:

Background

The National Early Warning Score-2 (NEWS-2) is used to detect patient deterioration in UK hospitals but fails to take account of the detailed granularity or temporal trends in clinical observations. We used data-driven methods to develop dynamic early warning scores (DEWS) to address these deficiencies, and tested their accuracy in patients with respiratory disease for predicting (1) death or intensive care unit admission, occurring within 24 h (D/ICU), and (2) clinically significant deterioration requiring urgent intervention, occurring within 4 h (CSD).

Methods

Clinical observations data were extracted from electronic records for 31,590 respiratory in-patient episodes from April 2015 to December 2020 at a large acute NHS Trust. The timing of D/ICU was extracted

SUBMITTER: Gonem S 

PROVIDER: S-EPMC9367123 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature