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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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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. |
format | Online Article Text |
id | pubmed-5942769 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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