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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?
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Shin, Heejun | - |
| dc.contributor.author | Kim, Giwoon | - |
| dc.contributor.author | Lee, Younghwan | - |
| dc.contributor.author | Moon, Hyungjun | - |
| dc.contributor.author | Choi, Hanjoo | - |
| dc.contributor.author | Lee, Choung Ah | - |
| dc.contributor.author | Choi, Hyuk Joong | - |
| dc.contributor.author | Park, Yongjin | - |
| dc.contributor.author | Lee, Kyoungmi | - |
| dc.contributor.author | Jeong, Wonjung | - |
| dc.date.accessioned | 2022-07-07T10:12:12Z | - |
| dc.date.available | 2022-07-07T10:12:12Z | - |
| dc.date.created | 2021-05-11 | - |
| dc.date.issued | 2020-12 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/144290 | - |
| dc.description.abstract | Objective 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→S 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.language | 영어 | - |
| dc.language.iso | en | - |
| dc.publisher | CUREUS INC | - |
| dc.title | Can We Predict Good Survival Outcomes by Classifying Initial and Re-Arrest Rhythm Change Patterns in Out-of-Hospital Cardiac Arrest Settings? | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | Choi, Hyuk Joong | - |
| dc.identifier.doi | 10.7759/cureus.12019 | - |
| dc.identifier.wosid | 000597981000015 | - |
| dc.identifier.bibliographicCitation | CUREUS, v.12, no.12, pp.1 - 11 | - |
| dc.relation.isPartOf | CUREUS | - |
| dc.citation.title | CUREUS | - |
| dc.citation.volume | 12 | - |
| dc.citation.number | 12 | - |
| dc.citation.startPage | 1 | - |
| dc.citation.endPage | 11 | - |
| dc.type.rims | ART | - |
| dc.type.docType | Article | - |
| dc.description.journalClass | 1 | - |
| dc.description.isOpenAccess | Y | - |
| dc.relation.journalResearchArea | General & Internal Medicine | - |
| dc.relation.journalWebOfScienceCategory | Medicine, General & Internal | - |
| dc.subject.keywordPlus | AMERICAN-HEART-ASSOCIATION | - |
| dc.subject.keywordPlus | EUROPEAN-RESUSCITATION | - |
| dc.subject.keywordPlus | STROKE-FOUNDATION | - |
| dc.subject.keywordPlus | CRITICAL-CARE | - |
| dc.subject.keywordPlus | TASK-FORCE | - |
| dc.subject.keywordPlus | REARREST | - |
| dc.subject.keywordPlus | PROFESSIONALS | - |
| dc.subject.keywordPlus | STATEMENT | - |
| dc.subject.keywordPlus | COUNCIL | - |
| dc.subject.keywordPlus | CANADA | - |
| dc.subject.keywordAuthor | out-of-hospital cardiac arrest | - |
| dc.subject.keywordAuthor | advanced cardiac life support | - |
| dc.subject.keywordAuthor | cardiopulmonary resuscitation | - |
| dc.subject.keywordAuthor | re-arrest rhythm | - |
| dc.identifier.url | https://www.cureus.com/articles/46540-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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