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A novel early risk assessment tool for detecting clinical outcomes in patients with heat-related illness (J-ERATO score): Development and validation in independent cohorts in Japan

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...

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Autores principales: Hayashida, Kei, Kondo, Yutaka, Hifumi, Toru, Shimazaki, Junya, Oda, Yasutaka, Shiraishi, Shinichiro, Fukuda, Tatsuma, Sasaki, Junichi, Shimizu, Keiki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5942769/
https://www.ncbi.nlm.nih.gov/pubmed/29742138
http://dx.doi.org/10.1371/journal.pone.0197032
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author Hayashida, Kei
Kondo, Yutaka
Hifumi, Toru
Shimazaki, Junya
Oda, Yasutaka
Shiraishi, Shinichiro
Fukuda, Tatsuma
Sasaki, Junichi
Shimizu, Keiki
author_facet Hayashida, Kei
Kondo, Yutaka
Hifumi, Toru
Shimazaki, Junya
Oda, Yasutaka
Shiraishi, Shinichiro
Fukuda, Tatsuma
Sasaki, Junichi
Shimizu, Keiki
author_sort Hayashida, Kei
collection PubMed
description 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 as the sum of the six binary components in the prehospital setting (respiratory rate≥22 /min, Glasgow coma scale<15, systolic blood pressure≤100 mmHg, heart rate≥100 bpm, body temperature≥38°C, and age≥65 y), for a total score ranging from 0 to 6. In the validation phase (n = 1,196), the score had excellent discrimination (C-statistic 0.84; 95% CI 0.79–0.89, p<0.0001) and calibration (P>0.2 by Hosmer-Lemeshow test). The observed proportion of hospital admission increased with increasing J-ERATO score (score = 0, 5.0%; score = 1, 15.0%; score = 2, 24.6%; score = 3, 38.6%; score = 4, 68.0%; score = 5, 85.2%; score = 6, 96.4%). Multivariate analyses showed that the J-ERATO score was an independent positive predictor of hospital admission (adjusted OR, 2.43; 95% CI, 2.06–2.87; P<0.001), intensive care unit (ICU) admission (3.73; 2.95–4.72; P<0.001) and in-hospital mortality (1.65; 1.18–2.32; P = 0.004). CONCLUSIONS: The J-ERATO score is simply assessed and can facilitate the identification of patients with higher risk of heat-related hospitalization. This scoring system is also significantly associated with the higher likelihood of ICU admission and in-hospital mortality after heat-related hospitalization.
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spelling pubmed-59427692018-05-18 A novel early risk assessment tool for detecting clinical outcomes in patients with heat-related illness (J-ERATO score): Development and validation in independent cohorts in Japan Hayashida, Kei Kondo, Yutaka Hifumi, Toru Shimazaki, Junya Oda, Yasutaka Shiraishi, Shinichiro Fukuda, Tatsuma Sasaki, Junichi Shimizu, Keiki PLoS One Research Article 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 as the sum of the six binary components in the prehospital setting (respiratory rate≥22 /min, Glasgow coma scale<15, systolic blood pressure≤100 mmHg, heart rate≥100 bpm, body temperature≥38°C, and age≥65 y), for a total score ranging from 0 to 6. In the validation phase (n = 1,196), the score had excellent discrimination (C-statistic 0.84; 95% CI 0.79–0.89, p<0.0001) and calibration (P>0.2 by Hosmer-Lemeshow test). The observed proportion of hospital admission increased with increasing J-ERATO score (score = 0, 5.0%; score = 1, 15.0%; score = 2, 24.6%; score = 3, 38.6%; score = 4, 68.0%; score = 5, 85.2%; score = 6, 96.4%). Multivariate analyses showed that the J-ERATO score was an independent positive predictor of hospital admission (adjusted OR, 2.43; 95% CI, 2.06–2.87; P<0.001), intensive care unit (ICU) admission (3.73; 2.95–4.72; P<0.001) and in-hospital mortality (1.65; 1.18–2.32; P = 0.004). CONCLUSIONS: The J-ERATO score is simply assessed and can facilitate the identification of patients with higher risk of heat-related hospitalization. This scoring system is also significantly associated with the higher likelihood of ICU admission and in-hospital mortality after heat-related hospitalization. Public Library of Science 2018-05-09 /pmc/articles/PMC5942769/ /pubmed/29742138 http://dx.doi.org/10.1371/journal.pone.0197032 Text en © 2018 Hayashida et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hayashida, Kei
Kondo, Yutaka
Hifumi, Toru
Shimazaki, Junya
Oda, Yasutaka
Shiraishi, Shinichiro
Fukuda, Tatsuma
Sasaki, Junichi
Shimizu, Keiki
A novel early risk assessment tool for detecting clinical outcomes in patients with heat-related illness (J-ERATO score): Development and validation in independent cohorts in Japan
title A novel early risk assessment tool for detecting clinical outcomes in patients with heat-related illness (J-ERATO score): Development and validation in independent cohorts in Japan
title_full A novel early risk assessment tool for detecting clinical outcomes in patients with heat-related illness (J-ERATO score): Development and validation in independent cohorts in Japan
title_fullStr A novel early risk assessment tool for detecting clinical outcomes in patients with heat-related illness (J-ERATO score): Development and validation in independent cohorts in Japan
title_full_unstemmed A novel early risk assessment tool for detecting clinical outcomes in patients with heat-related illness (J-ERATO score): Development and validation in independent cohorts in Japan
title_short A novel early risk assessment tool for detecting clinical outcomes in patients with heat-related illness (J-ERATO score): Development and validation in independent cohorts in Japan
title_sort novel early risk assessment tool for detecting clinical outcomes in patients with heat-related illness (j-erato score): development and validation in independent cohorts in japan
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5942769/
https://www.ncbi.nlm.nih.gov/pubmed/29742138
http://dx.doi.org/10.1371/journal.pone.0197032
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