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1 "Yoon-Seon Lee"
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Original Article
APACHE II Score Immediately after Cardiac Arrest as a Predictor of Good Neurological Outcome in Out-of-Hospital Cardiac Arrest Patients Receiving Targeted Temperature Management
Sang-Il Kim, Youn-Jung Kim, You-Jin Lee, Seung Mok Ryoo, Chang Hwan Sohn, Dong Woo Seo, Yoon-Seon Lee, Jae Ho Lee, Kyoung Soo Lim, Won Young Kim
Acute Crit Care. 2018;33(2):83-88.   Published online May 31, 2018
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AbstractAbstract PDF
This study assessed the association between the initial Acute Physiology and Chronic Health Evaluation (APACHE) II score and good neurological outcome in comatose survivors of out-of-hospital cardiac arrest who received targeted temperature management (TTM).
Data from survivors of cardiac arrest who received TTM between January 2011 and June 2016 were retrospectively analyzed. The initial APACHE II score was determined using the data immediately collected after return of spontaneous circulation rather than within 24 hours after being admitted to the intensive care unit. Good neurological outcome, defined as Cerebral Performance Category 1 or 2 on day 28, was the primary outcome of this study.
Among 143 survivors of cardiac arrest who received TTM, 62 (43.4%) survived, and 34 (23.8%) exhibited good neurological outcome on day 28. The initial APACHE II score was significantly lower in the patients with good neurological outcome than in those with poor neurological outcome (23.71 ± 4.39 vs. 27.62 ± 6.16, P = 0.001). The predictive ability of the initial APACHE II score for good neurological outcome, assessed using the area under the receiver operating characteristic curve, was 0.697 (95% confidence interval [CI], 0.599 to 0.795; P = 0.001). The initial APACHE II score was associated with good neurological outcome after adjusting for confounders (odds ratio, 0.878; 95% CI, 0.792 to 0.974; P = 0.014).
In the present study, the APACHE II score calculated in the immediate post-cardiac arrest period was associated with good neurological outcome. The initial APACHE II score might be useful for early identification of good neurological outcome.


Citations to this article as recorded by  
  • Prediction performance of scoring systems after out-of-hospital cardiac arrest: A systematic review and meta-analysis
    Boldizsár Kiss, Rita Nagy, Tamás Kói, Andrea Harnos, István Ferenc Édes, Pál Ábrahám, Henriette Mészáros, Péter Hegyi, Endre Zima, Jignesh K. Patel
    PLOS ONE.2024; 19(2): e0293704.     CrossRef
  • Predicting the survivals and favorable neurologic outcomes after targeted temperature management by artificial neural networks
    Wei-Ting Chiu, Chen-Chih Chung, Chien-Hua Huang, Yu-san Chien, Chih-Hsin Hsu, Cheng-Hsueh Wu, Chen-Hsu Wang, Hung-Wen Chiu, Lung Chan
    Journal of the Formosan Medical Association.2022; 121(2): 490.     CrossRef
  • Artificial neural network-boosted Cardiac Arrest Survival Post-Resuscitation In-hospital (CASPRI) score accurately predicts outcome in cardiac arrest patients treated with targeted temperature management
    Szu-Yi Chou, Oluwaseun Adebayo Bamodu, Wei-Ting Chiu, Chien-Tai Hong, Lung Chan, Chen-Chih Chung
    Scientific Reports.2022;[Epub]     CrossRef
  • Novel Approaches to Risk Stratification of In-Hospital Cardiac Arrest
    Jason J. Yang, Xiao Hu, Noel G. Boyle, Duc H. Do
    Current Cardiovascular Risk Reports.2021;[Epub]     CrossRef

ACC : Acute and Critical Care