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ABSTRACT: Background
We sought to develop a novel risk assessment tool to predict the clinical outcomes after heat-related illness.Methods
Prospective, multicenter observational study. Patients who transferred to emergency hospitals in Japan with heat-related illness were registered. The sample was divided into two parts: 60% to construct the score and 40% to validate it. A binary logistic regression model was used to predict hospital admission as a primary outcome. The resulting model was transformed into a scoring system.Results
A total of 3,001 eligible patients were analyzed. There was no difference in variables between development and validation cohorts. Based on the result of a logistic regression model in the development phase (n = 1,805), the J-ERATO score was defined
SUBMITTER: Hayashida K
PROVIDER: S-EPMC5942769 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature