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Can We Predict Good Survival Outcomes by Classifying Initial and Re-Arrest Rhythm Change Patterns in Out-of-Hospital Cardiac Arrest Settings?

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dc.contributor.authorShin, Heejun-
dc.contributor.authorKim, Giwoon-
dc.contributor.authorLee, Younghwan-
dc.contributor.authorMoon, Hyungjun-
dc.contributor.authorChoi, Hanjoo-
dc.contributor.authorLee, Choung Ah-
dc.contributor.authorChoi, Hyuk Joong-
dc.contributor.authorPark, Yongjin-
dc.contributor.authorLee, Kyoungmi-
dc.contributor.authorJeong, Wonjung-
dc.date.accessioned2021-08-11T08:31:19Z-
dc.date.available2021-08-11T08:31:19Z-
dc.date.issued2020-12-10-
dc.identifier.issn2168-8184-
dc.identifier.urihttps://scholarworks.bwise.kr/sch/handle/2021.sw.sch/2237-
dc.description.abstractObjective The purpose of this study was to investigate whether a change in prehospital arrest rhythms could allow medical personnel to predict survival outcomes in patients who achieved a return of spontaneous circulation (ROSC) in the setting of out-of-hospital cardiac arrest (OHCA). Methods The design of this study was retrospective, multi-regional, observational, and cross-sectional with a determining period between August 2015 and July 2016. Cardiac arrest rhythms were defined as a shockable rhythm (S), which refers to ventricular fibrillation (VF) or pulseless ventricular tachycardia (pVT), and non-shockable rhythm (NS), which refers to pulseless electrical activity or asystole. Survival to admission, survival to discharge, and good cerebral performance category (CPC) (CPC 1 or 2) were defined as good survival outcomes. Results A total of 163 subjects were classified into four groups according to the rhythm change pattern: NS -> NS (98), S -> S (27), S -> NS (23), and NS -> S (15). NS -> NS pattern was used as the reference in logistic regression analysis. In the case of survival to hospital admission, the odds ratio (OR) (95% CI) of the S-eS pattern was the highest [12.63 (3.56-44.85), p: <0.001 by no correction] and [7.29 (1.96-27.10), p = 0.003 with adjusting]. In the case of survival to hospital discharge, the OR (95% CI) of the S -> S pattern was the highest [37.14 (11.71-117.78), p: <0.001 by no correction] and [13.85 (3.69-51.97), p: <0.001 with adjusting]. In the case of good CPC (CPC 1 or 2) at discharge, the OR (95% CI) of the S -> S pattern was the highest [96 (19.14-481.60), p: <0.001 by no correction] and [149.69 (19.51-1148.48), p: <0.001 with adjusting]. Conclusions The S -> S group showed the highest correlation with survival to hospital admission, survival to hospital discharge, and good CPC (CPC 1 or 2) at discharge compared to the NS -> NS group. Verifying changes in initial cardiac arrest rhythm and prehospital re-arrest (RA) rhythm patterns after prehospital ROSC can help us predict good survival outcomes in the OHCA setting.-
dc.language영어-
dc.language.isoENG-
dc.publisherCureus, Inc.-
dc.titleCan We Predict Good Survival Outcomes by Classifying Initial and Re-Arrest Rhythm Change Patterns in Out-of-Hospital Cardiac Arrest Settings?-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.7759/cureus.12019-
dc.identifier.wosid000597981000015-
dc.identifier.bibliographicCitationCureus, v.12, no.12-
dc.citation.titleCureus-
dc.citation.volume12-
dc.citation.number12-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassesci-
dc.relation.journalResearchAreaGeneral & Internal Medicine-
dc.relation.journalWebOfScienceCategoryMedicine, General & Internal-
dc.subject.keywordPlusAMERICAN-HEART-ASSOCIATION-
dc.subject.keywordPlusEUROPEAN-RESUSCITATION-
dc.subject.keywordPlusSTROKE-FOUNDATION-
dc.subject.keywordPlusCRITICAL-CARE-
dc.subject.keywordPlusTASK-FORCE-
dc.subject.keywordPlusREARREST-
dc.subject.keywordPlusPROFESSIONALS-
dc.subject.keywordPlusSTATEMENT-
dc.subject.keywordPlusCOUNCIL-
dc.subject.keywordPlusCANADA-
dc.subject.keywordAuthorout-of-hospital cardiac arrest-
dc.subject.keywordAuthoradvanced cardiac life support-
dc.subject.keywordAuthorcardiopulmonary resuscitation-
dc.subject.keywordAuthorre-arrest rhythm-
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