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

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 ex...

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Main Authors: Jin Ho Beom, Incheol Park, Je Sung You, Yun Ho Roh, Min Joung Kim, Yoo Seok Park, on behalf of the Korean Cardiac Arrest Research Consortium (KoCARC) Investigators
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Journal of Clinical Medicine
Subjects:
Online Access:https://www.mdpi.com/2077-0383/10/16/3695
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spelling doaj-83022c436d29496f9c05ab8cc133d5f92021-08-26T13:55:55ZengMDPI AGJournal of Clinical Medicine2077-03832021-08-01103695369510.3390/jcm10163695Predictive 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 ConsortiumJin Ho Beom0Incheol Park1Je Sung You2Yun Ho Roh3Min Joung Kim4Yoo Seok Park5on behalf of the Korean Cardiac Arrest Research Consortium (KoCARC) InvestigatorsDepartment of Emergency Medicine, Yonsei University College of Medicine, Seoul 03722, KoreaDepartment of Emergency Medicine, Yonsei University College of Medicine, Seoul 03722, KoreaDepartment of Emergency Medicine, Yonsei University College of Medicine, Seoul 03722, KoreaBiostatistics Collaboration Unit, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul 03722, KoreaDepartment of Emergency Medicine, Yonsei University College of Medicine, Seoul 03722, KoreaDepartment of Emergency Medicine, Yonsei University College of Medicine, Seoul 03722, KoreaThis 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 (<i>p</i> < 0.001), prehospital defibrillation by emergency medical technicians (EMTs) (<i>p</i> = 0.003), prehospital return of spontaneous circulation (ROSC) (<i>p</i> = 0.02), and time from collapse to ROSC (<i>p</i> < 0.001) were associated with survival discharge. Patient age (<i>p</i> < 0.001), prehospital defibrillation by EMTs (<i>p</i> < 0.001), and time from collapse to ROSC (<i>p</i> < 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.https://www.mdpi.com/2077-0383/10/16/3695nomogramsout-of-hospital cardiac arrestcoronary angiographyemergency medical techniciansreturn of spontaneous circulationemergency medical services
collection DOAJ
language English
format Article
sources DOAJ
author Jin Ho Beom
Incheol Park
Je Sung You
Yun Ho Roh
Min Joung Kim
Yoo Seok Park
on behalf of the Korean Cardiac Arrest Research Consortium (KoCARC) Investigators
spellingShingle Jin Ho Beom
Incheol Park
Je Sung You
Yun Ho Roh
Min Joung Kim
Yoo Seok Park
on behalf of the Korean Cardiac Arrest Research Consortium (KoCARC) Investigators
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
Journal of Clinical Medicine
nomograms
out-of-hospital cardiac arrest
coronary angiography
emergency medical technicians
return of spontaneous circulation
emergency medical services
author_facet Jin Ho Beom
Incheol Park
Je Sung You
Yun Ho Roh
Min Joung Kim
Yoo Seok Park
on behalf of the Korean Cardiac Arrest Research Consortium (KoCARC) Investigators
author_sort Jin Ho Beom
title 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
title_short 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_sort 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
publisher MDPI AG
series Journal of Clinical Medicine
issn 2077-0383
publishDate 2021-08-01
description 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 (<i>p</i> < 0.001), prehospital defibrillation by emergency medical technicians (EMTs) (<i>p</i> = 0.003), prehospital return of spontaneous circulation (ROSC) (<i>p</i> = 0.02), and time from collapse to ROSC (<i>p</i> < 0.001) were associated with survival discharge. Patient age (<i>p</i> < 0.001), prehospital defibrillation by EMTs (<i>p</i> < 0.001), and time from collapse to ROSC (<i>p</i> < 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.
topic nomograms
out-of-hospital cardiac arrest
coronary angiography
emergency medical technicians
return of spontaneous circulation
emergency medical services
url https://www.mdpi.com/2077-0383/10/16/3695
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