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Predictive Model of Good Clinical Outcomes in Patients Undergoing Coronary Angiography after Out-of-Hospital Cardiac Arrest: A Prospective, Multicenter Observational Study Conducted by the Korean Cardiac Arrest Research Consortium

Authors
 Jin Ho Beom  ;  Incheol Park  ;  Je Sung You  ;  Yun Ho Roh  ;  Min Joung Kim  ;  Yoo Seok Park 
Citation
 JOURNAL OF CLINICAL MEDICINE, Vol.10(16) : 3695, 2021-08 
Journal Title
JOURNAL OF CLINICAL MEDICINE
Issue Date
2021-08
Keywords
coronary angiography ; electrocardiography ; emergency medical services ; emergency medical technicians ; nomograms ; out-of-hospital cardiac arrest ; return of spontaneous circulation
Abstract
This observational study aimed to develop novel nomograms that predict the benefits of coronary angiography (CAG) after resuscitating patients with out-of-hospital cardiac arrest (OHCA) regardless of the electrocardiography findings and to perform an external validation of these models. Data were extracted from a prospective, multicenter registry of resuscitated patients with OHCA (October 2015-June 2018). New nomograms were developed based on variables associated with survival discharge and neurologic outcomes; their analysis included 723 and 709 patients, respectively. Patient age (p < 0.001), prehospital defibrillation by emergency medical technicians (EMTs) (p = 0.003), prehospital return of spontaneous circulation (ROSC) (p = 0.02), and time from collapse to ROSC (p < 0.001) were associated with survival discharge. Patient age (p < 0.001), prehospital defibrillation by EMTs (p < 0.001), and time from collapse to ROSC (p < 0.001) were associated with neurologic outcomes. The new nomogram had a good predictive performance, with an area under the curve (AUC) of 0.8832 (95% confidence interval (CI): 0.8358-0.9305) for survival discharge and an AUC of 0.9048 (95% CI: 0.8627-0.9469) for neurologic outcomes. Novel nomograms that predict survival discharge and good neurological outcomes after CAG in patients with OHCA were developed and validated; they can be quickly and easily applied to identify patients who will benefit from CAG.
Files in This Item:
T202103601.pdf Download
DOI
10.3390/jcm10163695
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Emergency Medicine (응급의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Min Joung(김민정) ORCID logo https://orcid.org/0000-0003-1634-5209
Roh, Yun Ho(노윤호)
Park, Yoo Seok(박유석) ORCID logo https://orcid.org/0000-0003-1543-4664
Park, In Cheol(박인철) ORCID logo https://orcid.org/0000-0001-7033-766X
Beom, Jin Ho(범진호) ORCID logo https://orcid.org/0000-0002-2805-257X
You, Je Sung(유제성) ORCID logo https://orcid.org/0000-0002-2074-6745
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/184761
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