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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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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