Predicting postoperative pulmonary infection in elderly patients undergoing major surgery: a study based on logistic regression and machine learning models

被引:0
|
作者
Jie Liu [1 ]
Xia Li [2 ]
Yanting Wang [1 ]
Zhenzhen Xu [1 ]
Yong Lv [1 ]
Yuyao He [1 ]
Lu Chen [1 ]
Yiqi Feng [1 ]
Guoyang Liu [1 ]
Yunxiao Bai [1 ]
Wanli Xie [1 ]
Qingping Wu [1 ]
机构
[1] Huazhong University of Science and Technology,Department of Anesthesiology, Union Hospital, Tongji Medical College
[2] The Second Affiliated Hospital of Chongqing Medical University,Department of Anesthesiology
关键词
Elderly; Postoperative pulmonary infection; Logistic regression; Machine learning; Prediction model;
D O I
10.1186/s12890-025-03582-4
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [41] Machine learning-based model for predicting major adverse cardiovascular and cerebrovascular events in patients aged 65 years and older undergoing noncardiac surgery
    Wu, Xuejiao
    Hu, Jiachen
    Zhang, Jianjun
    BMC GERIATRICS, 2023, 23 (01)
  • [42] Usefulness of the short IQCODE for predicting postoperative delirium in elderly patients undergoing hip and knee replacement surgery
    Priner, Mathieu
    Jourdain, Maud
    Bouche, Gauthier
    Merlet-Chicoine, Isabelle
    Chaumier, Jean-Albert
    Paccalin, Marc
    GERONTOLOGY, 2008, 54 (02) : 116 - 119
  • [43] Comparison of Two Malnutrition Assessment Scales in Predicting Postoperative Complications in Elderly Patients Undergoing Noncardiac Surgery
    Zhang, Fang
    He, Shu-Ting
    Zhang, Yan
    Mu, Dong-Liang
    Wang, Dong-Xin
    FRONTIERS IN PUBLIC HEALTH, 2021, 9
  • [44] Machine learning regression models and associated variables for predicting preoperative anxiety in paediatric patients
    Rahman, Abdul
    Sheikh, Javed Khan
    Raeen, Mohammad Sarwar
    INDIAN JOURNAL OF ANAESTHESIA, 2025, 69 (02) : 248 - 248
  • [45] Machine Learning Prediction Models for Postoperative Stroke in Elderly Patients: Analyses of the MIMIC Database
    Zhang, Xiao
    Fei, Ningbo
    Zhang, Xinxin
    Wang, Qun
    Fang, Zongping
    FRONTIERS IN AGING NEUROSCIENCE, 2022, 14
  • [46] A machine learning model for predicting patients with major depressive disorder: A study based on transcriptomic data
    Liu, Sitong
    Lu, Tong
    Zhao, Qian
    Fu, Bingbing
    Wang, Han
    Li, Ginhong
    Yang, Fan
    Huang, Juan
    Lyu, Nan
    FRONTIERS IN NEUROSCIENCE, 2022, 16
  • [47] Modeling and analysis of factors contributing to postoperative delirium in elderly orthopaedic patients based on logistic regression analysis
    Chang, Jihui
    Tang, Dongmei
    Qiu, XuZhong
    Huang, HaiJun
    Li, Kai
    Zhang, Shuang
    Zhang, Yun
    Kuang, Jiangming
    Yang, Jining
    ASIA-PACIFIC JOURNAL OF CLINICAL ONCOLOGY, 2022, 18 : 33 - 34
  • [48] The association between preoperative lacunar infarcts and postoperative delirium in elderly patients undergoing major abdominal surgery: a prospective cohort study
    Li, Danni
    Gu, Pan
    Wang, Yuhao
    Yao, Yuchen
    Fan, Dan
    AGING CLINICAL AND EXPERIMENTAL RESEARCH, 2025, 37 (01)
  • [49] Predicting hospitalization costs for pulmonary tuberculosis patients based on machine learning
    Fan, Shiyu
    Abulizi, Abudoukeyoumujiang
    You, Yi
    Huang, Chencui
    Yimit, Yasen
    Li, Qiange
    Zou, Xiaoguang
    Nijiati, Mayidili
    BMC INFECTIOUS DISEASES, 2024, 24 (01)
  • [50] Machine learning for the prediction of postoperative nosocomial pulmonary infection in patients with spinal cord injury
    Li, Meng-Pan
    Liu, Wen-Cai
    Wu, Jia-Bao
    Luo, Kun
    Liu, Yu
    Zhang, Yu
    Xiao, Shi-Ning
    Liu, Zhi-Li
    Huang, Shan-Hu
    Liu, Jia-Ming
    EUROPEAN SPINE JOURNAL, 2023, 32 (11) : 3825 - 3835