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dc.contributor.authorOkada, Yoheien
dc.contributor.authorShahidah, Nuren
dc.contributor.authorNg, Yih Yngen
dc.contributor.authorChia, Michael Y. C.en
dc.contributor.authorGan, Han Neeen
dc.contributor.authorLeong, Benjamin S. H.en
dc.contributor.authorMao, Desmond R.en
dc.contributor.authorNg, Wei Mingen
dc.contributor.authorIrisawa, Taroen
dc.contributor.authorYamada, Tomokien
dc.contributor.authorNishimura, Tetsuroen
dc.contributor.authorKiguchi, Takeyukien
dc.contributor.authorKishimoto, Masafumien
dc.contributor.authorMatsuyama, Tasukuen
dc.contributor.authorNishioka, Norihiroen
dc.contributor.authorKiyohara, Kosukeen
dc.contributor.authorKitamura, Tetsuhisaen
dc.contributor.authorIwami, Takuen
dc.contributor.authorOng, Marcus Eng Hocken
dc.contributor.alternative岡田, 遥平ja
dc.contributor.alternative入澤, 太郎ja
dc.contributor.alternative山田, 知輝ja
dc.contributor.alternative西村, 哲郎ja
dc.contributor.alternative木口, 雄之ja
dc.contributor.alternative岸本, 正文ja
dc.contributor.alternative松山, 匡ja
dc.contributor.alternative西岡, 典宏ja
dc.contributor.alternative清原, 康介ja
dc.contributor.alternative北村, 哲久ja
dc.contributor.alternative石見, 拓ja
dc.date.accessioned2023-09-19T00:46:16Z-
dc.date.available2023-09-19T00:46:16Z-
dc.date.issued2023-09-12-
dc.identifier.urihttp://hdl.handle.net/2433/285160-
dc.description大阪とシンガポールの院外心停止の患者の社会復帰率の違い --膜型人工肺を活用した蘇生戦略が潜在的な地域に与える影響--. 京都大学プレスリリース. 2023-09-15.ja
dc.description.abstract[Background] Singapore and Osaka in Japan have comparable population sizes and prehospital management; however, the frequency of ECPR differs greatly for out-of-hospital cardiac arrest (OHCA) patients with initial shockable rhythm. Given this disparity, we hypothesized that the outcomes among the OHCA patients with initial shockable rhythm in Singapore were different from those in Osaka. The aim of this study was to evaluate the outcomes of OHCA patients with initial shockable rhythm in Singapore compared to the expected outcomes derived from Osaka data using machine learning-based prediction models. [Methods] This was a secondary analysis of two OHCA databases: the Singapore PAROS database (SG-PAROS) and the Osaka-CRITICAL database from Osaka, Japan. This study included adult (18–74 years) OHCA patients with initial shockable rhythm. A machine learning-based prediction model was derived and validated using data from the Osaka-CRITICAL database (derivation data 2012–2017, validation data 2018–2019), and applied to the SG-PAROS database (2010–2016 data), to predict the risk-adjusted probability of favorable neurological outcomes. The observed and expected outcomes were compared using the observed–expected ratio (OE ratio) with 95% confidence intervals (CI). [Results] From the SG-PAROS database, 1, 789 patients were included in the analysis. For OHCA patients who achieved return of spontaneous circulation (ROSC) on hospital arrival, the observed favorable neurological outcome was at the same level as expected (OE ratio: 0.905 [95%CI: 0.784–1.036]). On the other hand, for those who had continued cardiac arrest on hospital arrival, the outcomes were lower than expected (shockable rhythm on hospital arrival, OE ratio: 0.369 [95%CI: 0.258–0.499], and nonshockable rhythm, OE ratio: 0.137 [95%CI: 0.065–0.235]). [Conclusion] This observational study found that the outcomes for patients with initial shockable rhythm but who did not obtain ROSC on hospital arrival in Singapore were lower than expected from Osaka. We hypothesize this is mainly due to differences in the use of ECPR.en
dc.language.isoeng-
dc.publisherSpringer Natureen
dc.publisherBMCen
dc.rights© The Author(s) 2023.en
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/-
dc.titleOutcome assessment for out-of-hospital cardiac arrest patients in Singapore and Japan with initial shockable rhythmen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleCritical Careen
dc.identifier.volume27-
dc.relation.doi10.1186/s13054-023-04636-x-
dc.textversionpublisher-
dc.identifier.artnum351-
dc.addressHealth Services and Systems Research, Duke-NUS Medical School; Department of Preventive Services, Graduate School of Medicine, Kyoto Universityen
dc.addressDepartment of Emergency Medicine, Singapore General Hospitalen
dc.addressLee Kong Chian School of Medicine, Nanyang Technological University; Department of Preventive and Population Medicine, Tan Tock Seng Hospitalen
dc.addressEmergency Department, Tan Tock Seng Hospitalen
dc.addressAccident & Emergency, Changi General Hospitalen
dc.addressEmergency Medicine Department, National University Hospitalen
dc.addressDepartment of Acute and Emergency Care, Khoo Teck Puat Hospitalen
dc.addressEmergency Medicine Department, Ng Teng Fong General Hospitalen
dc.addressDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicineen
dc.addressEmergency and Critical Care Medical Center, Osaka Police Hospitalen
dc.addressDepartment of Critical Care Medicine, Osaka Metropolitan Universityen
dc.addressCritical Care and Trauma Center, Osaka General Medical Centeren
dc.addressOsaka Prefectural Nakakawachi Medical Center of Acute Medicineen
dc.addressDepartment of Emergency Medicine, Kyoto Prefectural University of Medicineen
dc.addressDepartment of Preventive Services, Graduate School of Medicine, Kyoto Universityen
dc.addressDepartment of Food Science Faculty of Home Economics, Otsuma Women’s Universityen
dc.addressDivision of Environmental Medicine and Population Sciences, Department of Social and Environmental Medicine, Graduate School of Medicine, Osaka Universityen
dc.addressDepartment of Preventive Services, Graduate School of Medicine, Kyoto Universityen
dc.addressHealth Services and Systems Research, Duke-NUS Medical School; Department of Emergency Medicine, Singapore General Hospitalen
dc.identifier.pmid37700335-
dc.relation.urlhttps://www.kyoto-u.ac.jp/ja/research-news/2023-09-15-
dcterms.accessRightsopen access-
datacite.awardNumber22K21143-
datacite.awardNumber22H03313-
datacite.awardNumber22K09139-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-22K21143/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-22H03313/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-22K09139/-
dc.identifier.eissn1364-8535-
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.awardTitle院外心停止患者に対する機械学習を用いた新規の蘇生アルゴリズムの開発ja
jpcoar.awardTitle救命後の生活の質や患者・家族の意思を尊重した院外心停止治療戦略の構築に関わる研究ja
jpcoar.awardTitle個別化医療を目指した院外心停止患者の転帰改善へのエビデンスの創出:レジストリ研究ja
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