Manual centile-based early warning scores derived from statistical distributions of observational vital-sign data.

ABSTRACT:

Aims of study

To develop and validate a centile-based early warning score using manually-recorded data (mCEWS). To compare mCEWS performance with a centile-based early warning score derived from continuously-acquired data (from bedside monitors, cCEWS), and with other published early warning scores.

Materials and methods

We used an unsupervised approach to investigate the statistical properties of vital signs in an in-hospital patient population and construct an early-warning score from a "development" dataset. We evaluated scoring systems on a separate "validation" dataset. We assessed the ability of scores to discriminate patients at risk of cardiac arrest, unanticipated intensive care unit admission, or death, each within 24 h of a given vital-sign observation, using metr

SUBMITTER: Watkinson PJ 

PROVIDER: S-EPMC6062656 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature