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The development and validation of a “5A” severity scale for predicting in-hospital mortality after accidental hypothermia from J-point registry data

BACKGROUND: Accidental hypothermia is a serious condition that requires immediate and accurate assessment to determine severity and treatment. Currently, accidental hypothermia is evaluated using the Swiss grading system which uses core body temperature and clinical findings; however, research has s...

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Autores principales: Okada, Yohei, Matsuyama, Tasuku, Morita, Sachiko, Ehara, Naoki, Miyamae, Nobuhiro, Jo, Takaaki, Sumida, Yasuyuki, Okada, Nobunaga, Watanabe, Makoto, Nozawa, Masahiro, Tsuruoka, Ayumu, Fujimoto, Yoshihiro, Okumura, Yoshiki, Kitamura, Tetsuhisa, Yamamoto, Shungo, Iiduka, Ryoji, Koike, Kaoru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6499959/
https://www.ncbi.nlm.nih.gov/pubmed/31073406
http://dx.doi.org/10.1186/s40560-019-0384-2
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author Okada, Yohei
Matsuyama, Tasuku
Morita, Sachiko
Ehara, Naoki
Miyamae, Nobuhiro
Jo, Takaaki
Sumida, Yasuyuki
Okada, Nobunaga
Watanabe, Makoto
Nozawa, Masahiro
Tsuruoka, Ayumu
Fujimoto, Yoshihiro
Okumura, Yoshiki
Kitamura, Tetsuhisa
Yamamoto, Shungo
Iiduka, Ryoji
Koike, Kaoru
author_facet Okada, Yohei
Matsuyama, Tasuku
Morita, Sachiko
Ehara, Naoki
Miyamae, Nobuhiro
Jo, Takaaki
Sumida, Yasuyuki
Okada, Nobunaga
Watanabe, Makoto
Nozawa, Masahiro
Tsuruoka, Ayumu
Fujimoto, Yoshihiro
Okumura, Yoshiki
Kitamura, Tetsuhisa
Yamamoto, Shungo
Iiduka, Ryoji
Koike, Kaoru
author_sort Okada, Yohei
collection PubMed
description BACKGROUND: Accidental hypothermia is a serious condition that requires immediate and accurate assessment to determine severity and treatment. Currently, accidental hypothermia is evaluated using the Swiss grading system which uses core body temperature and clinical findings; however, research has shown that core body temperature is not associated with in-hospital mortality in urban settings. Therefore, we developed and validated a severity scale for predicting in-hospital mortality among urban Japanese patients with accidental hypothermia. METHODS: Data for this multi-center retrospective cohort study were obtained from the J-point registry. We included patients with accidental hypothermia who were admitted to an emergency department. The total cohort was divided into a development cohort and validation cohort, based on the location of each institution. We developed a logistic regression model for predicting in-hospital mortality using the development cohort and assessed its internal validity using bootstrapping. The model was then subjected to external validation using the validation cohorts. RESULTS: Among the 572 patients in the J-point registry, 532 were ultimately included and divided into the development cohort (N = 288, six hospitals, in-hospital mortality 22.0%) and the validation cohort (N = 244, six hospitals, in-hospital mortality 27.0%). The 5 “A” scoring system based on age, activities-of-daily-living status, near arrest, acidemia, and serum albumin level was developed based on the variables’ coefficients in the development cohort. In the validation cohort, the prediction performance was validated. CONCLUSION: Our “5A” severity scoring system could accurately predict the risk of in-hospital mortality among patients with accidental hypothermia. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40560-019-0384-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-64999592019-05-09 The development and validation of a “5A” severity scale for predicting in-hospital mortality after accidental hypothermia from J-point registry data Okada, Yohei Matsuyama, Tasuku Morita, Sachiko Ehara, Naoki Miyamae, Nobuhiro Jo, Takaaki Sumida, Yasuyuki Okada, Nobunaga Watanabe, Makoto Nozawa, Masahiro Tsuruoka, Ayumu Fujimoto, Yoshihiro Okumura, Yoshiki Kitamura, Tetsuhisa Yamamoto, Shungo Iiduka, Ryoji Koike, Kaoru J Intensive Care Research BACKGROUND: Accidental hypothermia is a serious condition that requires immediate and accurate assessment to determine severity and treatment. Currently, accidental hypothermia is evaluated using the Swiss grading system which uses core body temperature and clinical findings; however, research has shown that core body temperature is not associated with in-hospital mortality in urban settings. Therefore, we developed and validated a severity scale for predicting in-hospital mortality among urban Japanese patients with accidental hypothermia. METHODS: Data for this multi-center retrospective cohort study were obtained from the J-point registry. We included patients with accidental hypothermia who were admitted to an emergency department. The total cohort was divided into a development cohort and validation cohort, based on the location of each institution. We developed a logistic regression model for predicting in-hospital mortality using the development cohort and assessed its internal validity using bootstrapping. The model was then subjected to external validation using the validation cohorts. RESULTS: Among the 572 patients in the J-point registry, 532 were ultimately included and divided into the development cohort (N = 288, six hospitals, in-hospital mortality 22.0%) and the validation cohort (N = 244, six hospitals, in-hospital mortality 27.0%). The 5 “A” scoring system based on age, activities-of-daily-living status, near arrest, acidemia, and serum albumin level was developed based on the variables’ coefficients in the development cohort. In the validation cohort, the prediction performance was validated. CONCLUSION: Our “5A” severity scoring system could accurately predict the risk of in-hospital mortality among patients with accidental hypothermia. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40560-019-0384-2) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-03 /pmc/articles/PMC6499959/ /pubmed/31073406 http://dx.doi.org/10.1186/s40560-019-0384-2 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Okada, Yohei
Matsuyama, Tasuku
Morita, Sachiko
Ehara, Naoki
Miyamae, Nobuhiro
Jo, Takaaki
Sumida, Yasuyuki
Okada, Nobunaga
Watanabe, Makoto
Nozawa, Masahiro
Tsuruoka, Ayumu
Fujimoto, Yoshihiro
Okumura, Yoshiki
Kitamura, Tetsuhisa
Yamamoto, Shungo
Iiduka, Ryoji
Koike, Kaoru
The development and validation of a “5A” severity scale for predicting in-hospital mortality after accidental hypothermia from J-point registry data
title The development and validation of a “5A” severity scale for predicting in-hospital mortality after accidental hypothermia from J-point registry data
title_full The development and validation of a “5A” severity scale for predicting in-hospital mortality after accidental hypothermia from J-point registry data
title_fullStr The development and validation of a “5A” severity scale for predicting in-hospital mortality after accidental hypothermia from J-point registry data
title_full_unstemmed The development and validation of a “5A” severity scale for predicting in-hospital mortality after accidental hypothermia from J-point registry data
title_short The development and validation of a “5A” severity scale for predicting in-hospital mortality after accidental hypothermia from J-point registry data
title_sort development and validation of a “5a” severity scale for predicting in-hospital mortality after accidental hypothermia from j-point registry data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6499959/
https://www.ncbi.nlm.nih.gov/pubmed/31073406
http://dx.doi.org/10.1186/s40560-019-0384-2
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