Objectives: The study compared machine-learning models with traditional logistic regression to predicting liver outcomes after aortic arch surgery. Design: Retrospective review from January 2013 to May 2017. Setting: Fuwai Hospital. Participants: The study comprised 672 consecutive patients who had undergone aortic arch surgery. Measurements and Main Results: Three machine-learning methods were compared with logistic regression with regard to the prediction of postoperative liver dysfunction (PLD) after aortic arch surgery. The perioperative characteristics, including the patients' baseline medical condition and intraoperative data, were analyzed. The performance of the models was assessed using the area under the receiver operating characteristic curve. Naive Bayes had the best discriminative ability for the prediction of PLD (area under the receiver operating characteristic curve = 0.77) compared with random forest (0.76), support vector machine (0.73), and logistic regression (0.72). The primary endpoint of PLD was observed in 185 patients (27.5%). The cardiopulmonary bypass time, long surgery time, long aortic clamp time, high preoperative bilirubin value, and low rectal temperature were strongly associated with the development of PLD after aortic arch surgery. Conclusion: The machine-learning method of naive Bayes predicts PLD after aortic arch surgery significantly better than traditional logistic regression. (C) 2021 Elsevier Inc. All rights reserved.
基金：
National Natural Science Foundation of China [81970344]
语种：
外文
被引次数：
WOS：
PubmedID：
中科院(CAS)分区：
出版当年[2020]版：
大类|4 区医学
小类|4 区麻醉学4 区心脏和心血管系统4 区外周血管病4 区呼吸系统
最新[2023]版：
大类|4 区医学
小类|4 区麻醉学4 区心脏和心血管系统4 区外周血管病4 区呼吸系统
JCR分区：
出版当年[2019]版：
Q3PERIPHERAL VASCULAR DISEASEQ3RESPIRATORY SYSTEMQ3ANESTHESIOLOGYQ3CARDIAC & CARDIOVASCULAR SYSTEMS
第一作者机构：[1]Chinese Acad Med Sci & Peking Union Med Coll, Fuwai Hosp, Natl Ctr Cardiovasc Dis, Dept Anesthesiol, Beijing, Peoples R China
共同第一作者：
通讯作者：
通讯机构：[2]Capital Med Univ, Beijing Tongren Hosp, Dept Anesthesiol, 1 Dongjiaominxiang, Beijing 100730, Peoples R China[*1]Department of Anesthesiology, Beijing Tongren Hospital, Capital Medical University, No. 1 Dongjiaominxiang, Dongcheng District, 100730, Beijing, China
推荐引用方式(GB/T 7714)：
Shi Sheng,Lei Guiyu,Yang Lijing,et al.Using Machine Learning to Predict Postoperative Liver Dysfunction After Aortic Arch Surgery[J].JOURNAL OF CARDIOTHORACIC AND VASCULAR ANESTHESIA.2021,35(8):2330-2335.doi:10.1053/j.jvca.2021.02.046.
APA：
Shi, Sheng,Lei, Guiyu,Yang, Lijing,Zhang, Congya,Fang, Zhongrong...&Wang, Guyan.(2021).Using Machine Learning to Predict Postoperative Liver Dysfunction After Aortic Arch Surgery.JOURNAL OF CARDIOTHORACIC AND VASCULAR ANESTHESIA,35,(8)
MLA：
Shi, Sheng,et al."Using Machine Learning to Predict Postoperative Liver Dysfunction After Aortic Arch Surgery".JOURNAL OF CARDIOTHORACIC AND VASCULAR ANESTHESIA 35..8(2021):2330-2335
