RAPID-ED: A predictive model for risk assessment of patient's early in-hospital deterioration from emergency department.

ABSTRACT:

Introduction

The objective of this multi-center retrospective cohort study was to devise a predictive tool known as RAPID-ED. This model identifies non-traumatic adult patients at significant risk for cardiac arrest within 48 hours post-admission from the emergency department.

Methods

Data from 224,413 patients admitted through the emergency department (2016-2020) was analyzed, incorporating vital signs, lab tests, and administered therapies. A multivariable regression model was devised to anticipate early cardiac arrest. The efficacy of the RAPID-ED model was evaluated against traditional scoring systems like National Early Warning Score (NEWS) and Modified Early Warning Score (MEWS) and its predictive ability was gauged via the area under the receiver operating characteris

SUBMITTER: Wang YM 

PROVIDER: S-EPMC10864627 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature