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

アクセス数:1,778件（2025-12-10 10:12 集計）

固定URL: https://hdl.handle.net/11094/78383

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タイトル	The development and validation of a "5A" severity scale for predicting in-hospital mortality after accidental hypothermia from J-point registry data
著者	著者名 Okada, Yohei
	NRID 1000050829025 1000050829025 著者名 Matsuyama, Tasuku
	著者名 Morita, Sachiko
	著者名 Ehara, Naoki
	著者名 Miyamae, Nobuhiro
	著者名 Jo, Takaaki
	著者名 Sumida, Yasuyuki
	著者名 Okada, Nobunaga
	著者名 Watanabe, Makoto
	著者名 Nozawa, Masahiro
	著者名 Tsuruoka, Ayumu
	著者名 Fujimoto, Yoshihiro
	著者名 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 著者名 Kitamura, Tetsuhisa
	著者名 Yamamoto, Shungo
	著者名 Iiduka, Ryoji
	NRID 1000010267164 1000010267164 著者名 Koike, Kaoru
キーワード等	Accidental hypothermia
	Cardiac arrest
	Environmental emergency
内容	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
抄録	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.
出版者	BioMed Central Ltd.
収録物名	Journal of Intensive Care
巻(号)	7
ページ	27
刊行年月	2019-05-03
言語	英語
ハンドルURL	https://hdl.handle.net/11094/78383
eISSN	20520492
関連情報 (isIdenticalTo)	DOI (出版社版) https://doi.org/10.1186/s40560-019-0384-2
アクセス権	open access
権利情報	© 2019 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License.
出版タイプ	Version of Record
カテゴリ	学術雑誌論文 Journal Article

資源タイプ	学術雑誌論文
ローカル資源タイプ	学術雑誌論文
DCMI資源タイプ	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	英語
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	英語
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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