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Dataset Information

Development and validation of a novel computer-aided score to predict the risk of in-hospital mortality for acutely ill medical admissions in two acute hospitals using their first electronically recorded blood test results and vital signs: a cross-sectional study.


ABSTRACT:

Objectives

There are no established mortality risk equations specifically for emergency medical patients who are admitted to a general hospital ward. Such risk equations may be useful in supporting the clinical decision-making process. We aim to develop and externally validate a computer-aided risk of mortality (CARM) score by combining the first electronically recorded vital signs and blood test results for emergency medical admissions.

Design

Logistic regression model development and external validation study.

Setting

Two acute hospitals (Northern Lincolnshire and Goole NHS Foundation Trust Hospital (NH)-model development data; York Hospital (YH)-external validation data).

Participants

Adult (aged ≥16 years) medical admissions discharged over a 24-month perio

SUBMITTER: Faisal M 

PROVIDER: S-EPMC6286481 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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