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Chou SY, Bamodu OA, Chiu WT, Hong CT, Chan L, Chung CC. 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. Sci Rep 2022; 12:7254. [PMID: 35508580 PMCID: PMC9068683 DOI: 10.1038/s41598-022-11201-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 04/14/2022] [Indexed: 01/04/2023] Open
Abstract
Existing prognostic models to predict the neurological recovery in patients with cardiac arrest receiving targeted temperature management (TTM) either exhibit moderate accuracy or are too complicated for clinical application. This necessitates the development of a simple and generalizable prediction model to inform clinical decision-making for patients receiving TTM. The present study explores the predictive validity of the Cardiac Arrest Survival Post-resuscitation In-hospital (CASPRI) score in cardiac arrest patients receiving TTM, regardless of cardiac event location, and uses artificial neural network (ANN) algorithms to boost the prediction performance. This retrospective observational study evaluated the prognostic relevance of the CASPRI score and applied ANN to develop outcome prediction models in a cohort of 570 patients with cardiac arrest and treated with TTM between 2014 and 2019 in a nationwide multicenter registry in Taiwan. In univariate logistic regression analysis, the CASPRI score was significantly associated with neurological outcome, with the area under the receiver operating characteristics curve (AUC) of 0.811. The generated ANN model, based on 10 items of the CASPRI score, achieved a training AUC of 0.976 and validation AUC of 0.921, with the accuracy, precision, sensitivity, and specificity of 89.2%, 91.6%, 87.6%, and 91.2%, respectively, for the validation set. CASPRI score has prognostic relevance in patients who received TTM after cardiac arrest. The generated ANN-boosted, CASPRI-based model exhibited good performance for predicting TTM neurological outcome, thus, we propose its clinical application to improve outcome prediction, facilitate decision-making, and formulate individualized therapeutic plans for patients receiving TTM.
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Affiliation(s)
- Szu-Yi Chou
- Graduate Institute of Neural Regenerative Medicine, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan, ROC.,Ph.D. Program for Neural Regenerative Medicine, College of Medical Science and Technology, Taipei Medical University and National Health Research Institutes, Taipei, Taiwan, ROC
| | - Oluwaseun Adebayo Bamodu
- Department of Medical Research & Education, Shuang Ho Hospital, Taipei Medical University, New Taipei City, 235, Taiwan, ROC.,Department of Urology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, 235, Taiwan, ROC.,Department of Hematology & Oncology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, 235, Taiwan, ROC
| | - Wei-Ting Chiu
- Department of Neurology, Shuang Ho Hospital, Taipei Medical University, 291, Zhongzheng Road, Zhonghe District, New Taipei City, 235, Taiwan, ROC.,Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei City, 110, Taiwan, ROC.,Division of Critical Care Medicine, Department of Emergency and Critical Care Medicine, Taipei Medical University-Shuang Ho Hospital, New Taipei City, 235, Taiwan, ROC
| | - Chien-Tai Hong
- Department of Neurology, Shuang Ho Hospital, Taipei Medical University, 291, Zhongzheng Road, Zhonghe District, New Taipei City, 235, Taiwan, ROC.,Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei City, 110, Taiwan, ROC
| | - Lung Chan
- Department of Neurology, Shuang Ho Hospital, Taipei Medical University, 291, Zhongzheng Road, Zhonghe District, New Taipei City, 235, Taiwan, ROC. .,Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei City, 110, Taiwan, ROC.
| | - Chen-Chih Chung
- Department of Neurology, Shuang Ho Hospital, Taipei Medical University, 291, Zhongzheng Road, Zhonghe District, New Taipei City, 235, Taiwan, ROC. .,Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei City, 110, Taiwan, ROC. .,Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei City, 110, Taiwan, ROC.
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