Prehospital predicting factors using a decision tree model for patients with witnessed out-of-hospital cardiac arrest and an initial shockable rhythm

Tateishi, Kazuya; Saito, Yuichi; Yasufuku, Yuichi; Nakagomi, Atsushi; Kitahara, Hideki; Kobayashi, Yoshio; Tahara, Yoshio; Yonemoto, Naohiro; Ikeda, Takanori; Sato, Naoki; Okura, Hiroyuki

doi:https://doi.org/10.1038/s41598-023-43106-w

Prehospital predicting factors using a decision tree model for patients with witnessed out-of-hospital cardiac arrest and an initial shockable rhythm

Tateishi, Kazuya; Saito, Yuichi; Yasufuku, Yuichi et al.

Scientific Reports, 2023, 13(1), 16180

Number of Access:1,059（2025-07-22 15:08 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/92832

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Title	Prehospital predicting factors using a decision tree model for patients with witnessed out-of-hospital cardiac arrest and an initial shockable rhythm
Creator	CreatorName Tateishi, Kazuya
	CreatorName Saito, Yuichi
	ORCID 0000-0002-9748-6793 0000-0002-9748-6793 researchmap permalink yuichiyasufuku yuichiyasufuku Scopus Author ID 58617692200 58617692200 CreatorName Yasufuku, Yuichi
	NRID 1000070792711 1000070792711 CreatorName Nakagomi, Atsushi
	NRID 1000010436363 1000010436363 CreatorName Kitahara, Hideki
	NRID 1000070372357 1000070372357 CreatorName Kobayashi, Yoshio
	NRID 1000070381514 1000070381514 CreatorName Tahara, Yoshio
	NRID 1000090435727 1000090435727 CreatorName Yonemoto, Naohiro
	NRID 1000080256734 1000080256734 CreatorName Ikeda, Takanori
	CreatorName Sato, Naoki
	NRID 1000030425136 1000030425136 CreatorName Okura, Hiroyuki
Description	Tateishi K., Saito Y., Yasufuku Y., et al. Prehospital predicting factors using a decision tree model for patients with witnessed out-of-hospital cardiac arrest and an initial shockable rhythm. Scientific Reports 13, 16180 (2023); https://doi.org/10.1038/s41598-023-43106-w.
Abstract	The effect of prehospital factors on favorable neurological outcomes remains unclear in patients with witnessed out-of-hospital cardiac arrest (OHCA) and a shockable rhythm. We developed a decision tree model for these patients by using prehospital factors. Using a nationwide OHCA registry database between 2005 and 2020, we retrospectively analyzed a cohort of 1,930,273 patients, of whom 86,495 with witnessed OHCA and an initial shockable rhythm were included. The primary endpoint was defined as favorable neurological survival (cerebral performance category score of 1 or 2 at 1 month). A decision tree model was developed from randomly selected 77,845 patients (development cohort) and validated in 8650 patients (validation cohort). In the development cohort, the presence of prehospital return of spontaneous circulation was the best predictor of favorable neurological survival, followed by the absence of adrenaline administration and age. The patients were categorized into 9 groups with probabilities of favorable neurological survival ranging from 5.7 to 70.8% (areas under the receiver operating characteristic curve of 0.851 and 0.844 in the development and validation cohorts, respectively). Our model is potentially helpful in stratifying the probability of favorable neurological survival in patients with witnessed OHCA and an initial shockable rhythm.
Publisher	Nature Research
Source Title	Scientific Reports
Volume (Issue)	13(1)
Page	16180
Date of Issued	2023-12-01
Language	English
Handle URL	https://hdl.handle.net/11094/92832
eISSN	20452322
Relation.isIdenticalTo	DOI (Publisher Version) https://doi.org/10.1038/s41598-023-43106-w
Access Rights	open access
CopyRight	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	Scientific Reports. 2023, 13(1), p. 16180
DC.title	Prehospital predicting factors using a decision tree model for patients with witnessed out-of-hospital cardiac arrest and an initial shockable rhythm
DC.creator	Tateishi, Kazuya
	Saito, Yuichi
	Yasufuku, Yuichi
	Nakagomi, Atsushi
	Kitahara, Hideki
	Kobayashi, Yoshio
	Tahara, Yoshio
	Yonemoto, Naohiro
	Ikeda, Takanori
	Sato, Naoki
	Okura, Hiroyuki
DC.publisher	Nature Research
DC.language' scheme='DCTERMS.RFC1766	English
DC.type' scheme='DCTERMS.DCMIType	Text
DCTERMS.issued' scheme='DCTERMS.W3CDTF	2023-12-01
DC.identifier	https://doi.org/10.1038/s41598-023-43106-w
DC.description	Tateishi K., Saito Y., Yasufuku Y., et al. Prehospital predicting factors using a decision tree model for patients with witnessed out-of-hospital cardiac arrest and an initial shockable rhythm. Scientific Reports 13, 16180 (2023); https://doi.org/10.1038/s41598-023-43106-w.
DCTERMS.abstract	The effect of prehospital factors on favorable neurological outcomes remains unclear in patients with witnessed out-of-hospital cardiac arrest (OHCA) and a shockable rhythm. We developed a decision tree model for these patients by using prehospital factors. Using a nationwide OHCA registry database between 2005 and 2020, we retrospectively analyzed a cohort of 1,930,273 patients, of whom 86,495 with witnessed OHCA and an initial shockable rhythm were included. The primary endpoint was defined as favorable neurological survival (cerebral performance category score of 1 or 2 at 1 month). A decision tree model was developed from randomly selected 77,845 patients (development cohort) and validated in 8650 patients (validation cohort). In the development cohort, the presence of prehospital return of spontaneous circulation was the best predictor of favorable neurological survival, followed by the absence of adrenaline administration and age. The patients were categorized into 9 groups with probabilities of favorable neurological survival ranging from 5.7 to 70.8% (areas under the receiver operating characteristic curve of 0.851 and 0.844 in the development and validation cohorts, respectively). Our model is potentially helpful in stratifying the probability of favorable neurological survival in patients with witnessed OHCA and an initial shockable rhythm.
DC.rights	This article is licensed under a Creative Commons Attribution 4.0 International License.
DC.format	92832
citation_title	Prehospital predicting factors using a decision tree model for patients with witnessed out-of-hospital cardiac arrest and an initial shockable rhythm
citation_author	Tateishi, Kazuya
	Saito, Yuichi
	Yasufuku, Yuichi
	Nakagomi, Atsushi
	Kitahara, Hideki
	Kobayashi, Yoshio
	Tahara, Yoshio
	Yonemoto, Naohiro
	Ikeda, Takanori
	Sato, Naoki
	Okura, Hiroyuki
citation_publisher	Nature Research
citation_language	English
citation_date	2023-12-01
citation_journal_title	Scientific Reports
citation_volume	13
citation_issue	1
citation_firstpage	16180
citation_doi	https://doi.org/10.1038/s41598-023-43106-w
citation_public_url	https://hdl.handle.net/11094/92832

Prehospital predicting factors using a decision tree model for patients with witnessed out-of-hospital cardiac arrest and an initial shockable rhythm

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