NDLI: Prediction of Neurologically Intact Survival in Cardiac Arrest Patients without Pre-Hospital Return of Spontaneous Circulation: Machine Learning Approach

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Prediction of Neurologically Intact Survival in Cardiac Arrest Patients without Pre-Hospital Return of Spontaneous Circulation: Machine Learning Approach

Content Provider	MDPI
Author	Seo, Dong-Woo Yi, Hahn Bae, Hyun-Jin Kim, Youn-Jung Sohn, Chang-Hwan Ahn, Shin Lim, Kyoung-Soo Kim, Namkug Kim, Won-Young
Copyright Year	2021
Description	Current multimodal approaches for the prognostication of out-of-hospital cardiac arrest (OHCA) are based mainly on the prediction of poor neurological outcomes; however, it is challenging to identify patients expected to have a favorable outcome, especially before the return of spontaneous circulation (ROSC). We developed and validated a machine learning-based system to predict good outcome in OHCA patients before ROSC. This prospective, multicenter, registry-based study analyzed non-traumatic OHCA data collected between October 2015 and June 2017. We used information available before ROSC as predictor variables, and the primary outcome was neurologically intact survival at discharge, defined as cerebral performance category 1 or 2. The developed models’ robustness were evaluated and compared with various score metrics to confirm their performance. The model using a voting classifier had the best performance in predicting good neurological outcome (area under the curve = 0.926). We confirmed that the six top-weighted variables predicting neurological outcomes, such as several duration variables after the instant of OHCA and several electrocardiogram variables in the voting classifier model, showed significant differences between the two neurological outcome groups. These findings demonstrate the potential utility of a machine learning model to predict good neurological outcome of OHCA patients before ROSC.
Starting Page	1089
e-ISSN	20770383
DOI	10.3390/jcm10051089
Journal	Journal of clinical medicine
Issue Number	5
Volume Number	10
Language	English
Publisher	MDPI
Publisher Date	2021-03-05
Access Restriction	Open
Subject Keyword	Journal of clinical medicine Journal of Clinical Medicine Emergency Medicine Emergency Departments Machine Learning Out-of-hospital Cardiac Arrest Outcomes Resuscitation Targeted Temperature Management
Content Type	Text
Resource Type	Article

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