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

doi:https://doi.org/10.1186/s40560-019-0384-2

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 et al.

Journal of Intensive Care, 2019, 7, 27

Number of Access:1,692（2025-10-21 09:36 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/78383

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Title	The development and validation of a "5A" severity scale for predicting in-hospital mortality after accidental hypothermia from J-point registry data
Creator	CreatorName Okada, Yohei
	NRID 1000050829025 1000050829025 CreatorName Matsuyama, Tasuku
	CreatorName Morita, Sachiko
	CreatorName Ehara, Naoki
	CreatorName Miyamae, Nobuhiro
	CreatorName Jo, Takaaki
	CreatorName Sumida, Yasuyuki
	CreatorName Okada, Nobunaga
	CreatorName Watanabe, Makoto
	CreatorName Nozawa, Masahiro
	CreatorName Tsuruoka, Ayumu
	CreatorName Fujimoto, Yoshihiro
	CreatorName Okumura, Yoshiki
	NRID 1000030639810 1000030639810 ORCID 0000-0003-0107-0580 0000-0003-0107-0580 researchmap permalink Kitamura_T Kitamura_T Scopus Author ID 22234282700 22234282700 CreatorName Kitamura, Tetsuhisa
	CreatorName Yamamoto, Shungo
	CreatorName Iiduka, Ryoji
	NRID 1000010267164 1000010267164 CreatorName Koike, Kaoru
Subject	Accidental hypothermia
	Cardiac arrest
	Environmental emergency
Description	Okada, Y., Matsuyama, T., Morita, S. et al. The development and validation of a “5A” severity scale for predicting in-hospital mortality after accidental hypothermia from J-point registry data. j intensive care 7, 27 (2019). https://doi.org/10.1186/s40560-019-0384-2
Abstract	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.
Publisher	BioMed Central Ltd.
Source Title	Journal of Intensive Care
Volume (Issue)	7
Page	27
Date of Issued	2019-05-03
Language	English
Handle URL	https://hdl.handle.net/11094/78383
eISSN	20520492
Relation.isIdenticalTo	DOI (Publisher Version) https://doi.org/10.1186/s40560-019-0384-2
Access Rights	open access
CopyRight	© 2019 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License.
oaire:version	Version of Record
Category	学術雑誌論文 Journal Article

Resource Type	journal article
Local Type	Journal Article
DCMI Type	Text
DCTERMS.bibliographicCitation	Journal of Intensive Care. 2019, 7, p. 27
DC.title	The development and validation of a "5A" severity scale for predicting in-hospital mortality after accidental hypothermia from J-point registry data
DC.creator	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
DC.publisher	BioMed Central Ltd.
DC.language' scheme='DCTERMS.RFC1766	English
DC.type' scheme='DCTERMS.DCMIType	Text
DCTERMS.issued' scheme='DCTERMS.W3CDTF	2019-05-03
DC.identifier	https://doi.org/10.1186/s40560-019-0384-2
DC.subject	Accidental hypothermia
	Cardiac arrest
	Environmental emergency
DC.description	Okada, Y., Matsuyama, T., Morita, S. et al. The development and validation of a “5A” severity scale for predicting in-hospital mortality after accidental hypothermia from J-point registry data. j intensive care 7, 27 (2019). https://doi.org/10.1186/s40560-019-0384-2
DCTERMS.abstract	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.
DC.rights	© 2019 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License.
DC.format	78383
citation_title	The development and validation of a "5A" severity scale for predicting in-hospital mortality after accidental hypothermia from J-point registry data
citation_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
citation_publisher	BioMed Central Ltd.
citation_language	English
citation_date	2019-05-03
citation_journal_title	Journal of Intensive Care
citation_volume	7
citation_firstpage	27
citation_doi	https://doi.org/10.1186/s40560-019-0384-2
citation_public_url	https://hdl.handle.net/11094/78383

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

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