Unknown

Dataset Information

Development and validation of a prognostic model for predicting 30-day mortality risk in medical patients in emergency department (ED).


ABSTRACT: The primary aim of this prospective study is to develop and validate a new prognostic model for predicting the risk of mortality in Emergency Department (ED) patients. The study involved 1765 patients in the development cohort and 1728 in the validation cohort. The main outcome was mortality up to 30 days after admission. Potential risk factors included clinical characteristics, vital signs, and routine haematological and biochemistry tests. The Bayesian Model Averaging method within the Cox's regression model was used to identify independent risk factors for mortality. In the development cohort, the incidence of 30-day mortality was 9.8%, and the following factors were associated with a greater risk of mortality: male gender, increased respiratory rate and serum urea, decreased peripheral

SUBMITTER: Ha DT 

PROVIDER: S-EPMC5388874 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature