한국심장정지연구컨소시엄은
소생의학 분야의 연구를 활성화하기 위하여
응급의학, 심장내과, 소아심장학, 예방의학, 역학 등 여러 분야의 전문가들이 자발적으로 구성한
심장정지 환자등록체계 및 연구협력 단체입니다.
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No.137 Initial arterial pH predicts survival of out-of-hospital cardiac arrest in South Korea
Acute and Critical Care 2025;40(3):444-451.
DOI: https://doi.org/10.4266/acc.001050
Abstract
Background Arterial pH reflects both metabolic and respiratory distress in cardiac arrest and has prognostic implications. However, it was excluded from the 2024 update of the Utstein out-of-hospital cardiac arrest (OHCA) registry template. We investigated the rationale for including arterial pH into models predicting clinical outcomes.
Methods Data were sourced from the Korean Cardiac Arrest Research Consortium, a nationwide OHCA registry (NCT03222999). Prediction models were constructed using logistic regression, random forest, and eXtreme Gradient Boosting frameworks. Each framework included three model types: pH, low-flow time, and combined models. Then the area under the receiver operating characteristic curve (AUROC) of each predicting model was compared. The primary outcome was 30-day death or neurologically unfavorable status (cerebral performance category ≥3).
Results Among the 15,765 patients analyzed, 92.2% experienced death or unfavorable neurological outcomes. The predicting performance of the models including pH (AUROC, 0.92–0.94) were comparable to the models including low-flow time in all frameworks (0.93–0.94) (all P>0.05). Inclusion of pH into low-flow time models consistently showed higher AUROCs than individual models in all frameworks (AUROC, 0.93–0.95; all P<0.05).
Conclusions The predicting performance of models including arterial pH was comparable to models including low-flow time, and addition of arterial pH into low-flow time models could increase the performance of the models.
Key Words: blood pH; hydrogen-ion concentration; machine learning; out-of-hospital cardiac arrest; prognosis; resuscitation
No.92 A Machine Learning-Based Decision Support System for the Prognostication of Neurological Outcomes in Successfully Resuscitated Out-of-Hospital Cardiac Arrest Patients
Sijin Lee, Kwang-Sig Lee, Sang-Hyun Park, Sung Woo Lee and Su Jin Kim
J. Clin. Med. 2024, 13(24), 7600
https://doi.org/10.3390/jcm13247600
Abstract
Background/Objectives: This study uses machine learning and multicenter registry data for analyzing the determinants of a favorable neurological outcome in patients with out-of-hospital cardiac arrest (OHCA) and developing decision support systems for various subgroups.
Methods: The data came from the Korean Cardiac Arrest Research Consortium registry, with 2679 patients who underwent OHCA aged 18 or above with the return of spontaneous circulation (ROSC). The dependent variable was a favorable neurological outcome (Cerebral Performance Category score 1–2), and 68 independent variables were included, e.g., first monitored rhythm, in-hospital cardiopulmonary resuscitation (CPR) duration and post-ROSC pH. A random forest was used for identifying the major determinants of the favorable neurological outcome and developing decision support systems for the various subgroups stratified by the major variables.
Results: Based on the random forest variable importance, the major determinants of the OHCA patient outcomes were the in-hospital CPR duration (0.0824), in-hospital electrocardiogram on emergency room arrival (0.0692), post-ROSC pH (0.0579), prehospital ROSC before emergency room arrival (0.0565), coronary angiography (0.0527), age (0.0415), first monitored rhythm (EMS) (0.0402), first monitored rhythm (community) (0.0401), early coronary angiography within 24 h (0.0304) and time from scene arrival to CPR stop (0.0301). It was also found that the patients could be divided into six subgroups in terms of their prehospital ROSC and first monitored rhythm (EMS), and that a decision tree could be developed as a decision support system for each subgroup to find the effective cut-off points regarding the in-hospital CPR duration, post-ROSC pH, age and hemoglobin.
Conclusions: We identified the major determinants of favorable neurological outcomes in successfully resuscitated patients who underwent OHCA using machine learning. This study demonstrates the strengths of a random forest as an effective decision support system for each stratified subgroup (prehospital ROSC and first monitored rhythm by EMS) to find its own optimal cut-off points for the major in-hospital variables (in-hospital CPR duration, post-ROSC pH, age and hemoglobin).
No.135 Comparison between norepinephrine plus epinephrine and norepinephrine plus vasopressin after return of spontaneous circulation in patients with out-of-hospital cardiac arrest
Sejoong Ahn, Bo-Yeong Jin, Sukyo Lee, Jong-Hak Park, Hanjin Cho, Sungwoo Moon & Korean Cardiac Arrest Research Consortium (KoCARC) Investigators
Scientific Reportsvolume 15, Article number: 13375 (2025)
Abstract
There is insufficient evidence regarding the use of second-line vasopressors following norepinephrine administration in the post-resuscitation management of patients with out-of-hospital cardiac arrest (OHCA). Therefore, this study aimed to investigate the survival outcomes between norepinephrine plus epinephrine and norepinephrine plus vasopressin as vasopressor combinations after return of spontaneous circulation (ROSC) in patients with OHCA. This retrospective observational study included data from a prospective multicenter registry. Adult patients with OHCA who achieved sustained ROSC and received vasopressor combinations of norepinephrine plus epinephrine or norepinephrine plus vasopressin were included in the study. The variable of interest was the vasopressor combination either norepinephrine plus epinephrine or norepinephrine plus vasopressin within 24 h from sustained ROSC. The primary outcome was survival to discharge. Multivariable logistic regression analysis was conducted. Between October 2015 and June 2024, 901 patients were analyzed. Survival to discharge and good neurological outcome were significantly higher in the group with norepinephrine plus epinephrine than in the group with norepinephrine plus vasopressin (17.0% vs. 9.1%, p = 0.001, and 8.1% vs. 3.2%, p = 0.002, respectively). Norepinephrine plus vasopressin was independently associated with worse survival to discharge and neurological outcome compared to norepinephrine plus epinephrine, after adjusting for potential confounders (adjusted odds ratio [aOR] 0.454, 95% confidence interval [CI] 0.277–0.746, p = 0.002 and aOR 0.346, 95% CI 0.150–0.794, p = 0.012, respectively). These findings were maintained in multiple regression models and sensitivity analyses. Norepinephrine plus epinephrine administration within 24 h from sustained ROSC showed better survival to discharge than norepinephrine plus vasopressin in patients with OHCA.
No.128 Adjusting on-scene CPR duration based on transport time interval in out-of-hospital cardiac arrest: a nationwide multicenter study
Daseul Kim, Jae Yong Yu, Minha Kim, Gun Tak Lee, Sang Do Shin, Sung Yeon Hwang & Daun Jeong
Scientific Reports volume 15, Article number: 3245 (2025)
Abstract
The optimal duration of on-scene cardiopulmonary resuscitation (CPR) for out-of-hospital cardiac arrest (OHCA) patients remains uncertain. Determining this critical time period requires outweighing the potential risks associated with intra-arrest transport while minimizing delays in accessing definitive hospital-based treatments. This study evaluated the association between on-scene CPR duration and 30-day neurologically favorable survival based on the transport time interval (TTI) in patients with OHCA. We retrospectively analyzed data from the Korean Cardiac Arrest Research Consortium registry of OHCA, comprising 65 participating hospitals in South Korea, between October 2015 and December 2021. We categorized the patients into Short-TTI (TTI < 10 min) and Long-TTI (TTI ≥ 10 min) groups. Differences in clinical features were adjusted for using propensity score matching (PSM) for TTI. The primary outcome was a 30-day neurologically favorable outcome, defined as cerebral performance category 1 or 2. Multivariable logistic regression was used to determine the variables associated with clinical outcomes. A generalized additive model based on a restricted cubic spline smooth function was utilized to infer the optimal cutoff point for on-scene CPR duration. Of the 6,345 patients, 5,844 PSM pairings were created (Short-TTI: 2,922; Long-TTI: 2,922). The primary outcome was achieved in 7.4% and 9.8% of the patients in Short-TTI and Long-TTI groups, respectively (p = 0.001). Increased on-scene CPR duration was associated with decreased neurologically favorable survival (adjusted odds ratio, 0.94; 95% confidence interval, 0.92–0.96). The optimal on-scene CPR durations in the overall PSM, Short-TTI, and Long-TTI groups were 5.1, 0, and 5.0 min, respectively. An adjusted on-scene CPR duration based on expected transport duration may be beneficial for favorable clinical outcomes in patients with OHCA.
