Development and validation of a nomogram for predicting postoperative pulmonary complications in older patients undergoing noncardiac thoracic surgery: a prospective, bicentric cohort study

被引:0
|
作者
Zhou, Yongxin [1 ,2 ]
Wang, Haiyan [3 ]
Lu, Dianyu [1 ]
Jiang, Tao [4 ]
Huang, Zhanpeng [1 ]
Wang, Feixiang [5 ]
Yao, Yonghua [1 ]
Gu, Yu [1 ]
Wei, Wei [1 ]
机构
[1] Guangzhou Med Univ, Affiliated Canc Hosp, Guangzhou Inst Canc Res, Dept Anesthesiol, Guangzhou, Guangdong, Peoples R China
[2] Guangzhou Med Univ, Affiliated Hosp 5, Guangdong Engineer Res Ctr Early Clin Trails Bioth, Dept Anesthesiol, Guangzhou, Guangdong, Peoples R China
[3] Guangzhou Univ Chinese Med, Affiliated Hosp 2, Dept Anesthesiol, Guangzhou, Guangdong, Peoples R China
[4] Univ Hong Kong, Shenzhen Hosp, Dept Anesthesiol, Shenzhen, Guangdong, Peoples R China
[5] Guangzhou Med Univ, Affiliated Canc Hosp, Guangzhou Inst Canc Res, Dept Thorac Surg, Guangzhou, Peoples R China
关键词
Older patients; Noncardiac thoracic surgery; Postoperative pulmonary complications; Prediction; LUNG-CANCER; MULTICENTER; POWER; RISK;
D O I
10.1186/s12877-025-05791-2
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Background The ARISCAT score, a prospectively developed generic classification for postoperative pulmonary complications (PPCs), has shown excellent predictive performance in general surgery. However, there is no reliable classification instrument for PPCs prediciton in thoracic surgery. Objective This study aimed to develop and validate a novel nomogram for estimating the risk of pulmonary complications in older patients (>= 65 years) within 30 days after NCTS. Methods A nomogram was developed using predefined candidate predictors of 30-day PPCs. It was fitted with least absolute shrinkage and selection operator and logistic regression methods. Internal validation was performed using a bootstrap-resampling approach, while external validation used an independent, temporally separated cohort. The model's performance was assessed based on its discriminative potential (area under the receiver operating characteristic curve [AUC]), predictive ability (calibration plots), and clinical utility (net benefit). Results In the development (n = 1449) and validation (n = 449) cohorts, 34.9% and 31.4% of patients, respectively, developed pulmonary complications 30 days post-surgery. The final nomogram incorporated eight predictors (age, surgical approach, desaturation of < 92% for more than 2 min, duration of surgery, smoking status, FEV1/FVC%, respiratory infection in the last 30 days, and neoadjuvant chemotherapy). The nomogram showed excellent discrimination (AUC = 0.866, 95% confidence interval [CI], 0.846-0.885), calibration (Hosmer- Lemeshow test, P = 0.97) and overall performance (Brier score = 0.014) in the development cohort. Similar results were observed in the external validation cohort (AUC = 0.825, 95% CI, 0.786-0.864). A decision curve analysis indicated that the nomogram offers a positive net benefit compared with the ARISCAT and LAS VEGAS scores. Conclusions This novel nomogram can reliably identify older patients with a high risk for pulmonary complications within 30 days after NCTS. Trial registrationChiCTR2100051170.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Development and validation of a nomogram for predicting pulmonary complications in elderly patients undergoing thoracic surgery
    Liu, Jingjing
    Xue, Dinghao
    Wang, Long
    Li, Yanxiang
    Liu, Luyu
    Liao, Guosong
    Cao, Jiangbei
    Liu, Yanhong
    Lou, Jingsheng
    Li, Hao
    Yang, Yongbin
    Mi, Weidong
    Fu, Qiang
    AGING CLINICAL AND EXPERIMENTAL RESEARCH, 2024, 36 (01)
  • [2] Development and Validation of a Nomogram for Predicting Postoperative Pulmonary Infection in Patients Undergoing Lung Surgery
    Wang, Jing-Yun
    Pang, Qian-Yun
    Yang, Ya-Jun
    Feng, Yu-Mei
    Xiang, Ying-Ying
    An, Ran
    Liu, Hong-Liang
    JOURNAL OF CARDIOTHORACIC AND VASCULAR ANESTHESIA, 2022, 36 (12) : 4393 - 4402
  • [3] Cardiac and noncardiac complications are linked in patients undergoing noncardiac surgery: A prospective study
    Fleischmann, KE
    Goldman, L
    Young, BS
    Lee, TH
    CIRCULATION, 2000, 102 (18) : 611 - 611
  • [4] Development and Validation of Nomogram Prediction Model for Postoperative Sleep Disturbance in Patients Undergoing Non-Cardiac Surgery: A Prospective Cohort Study
    Yang, Shuting
    Zhang, Qian
    Xu, Yifan
    Chen, Futeng
    Shen, Fangming
    Zhang, Qin
    Liu, He
    Zhang, Yueying
    NATURE AND SCIENCE OF SLEEP, 2021, 13 : 1473 - 1483
  • [5] Postoperative complications in cardiac patients undergoing noncardiac surgery
    De Hert, Stefan
    Moerman, Annelies
    De Baerdemaeker, Luc
    CURRENT OPINION IN CRITICAL CARE, 2016, 22 (04) : 357 - 364
  • [6] PREDICTING CARDIAC COMPLICATIONS IN PATIENTS UNDERGOING NONCARDIAC SURGERY
    DETSKY, AS
    ABRAMS, HB
    MCLAUGHLIN, JR
    DRUCKER, DJ
    SASSON, Z
    JOHNSTON, N
    SCOTT, JG
    FORBATH, N
    HILLIARD, JR
    JOURNAL OF GENERAL INTERNAL MEDICINE, 1986, 1 (04) : 211 - 219
  • [7] Development and validation of a nomogram to predict postoperative pulmonary complications following thoracoscopic surgery
    Wang, Bin
    Chen, Zhenxing
    Zhao, Ru
    Zhang, Li
    Zhang, Ye
    PEERJ, 2021, 9
  • [8] Frailty index is useful for predicting postoperative morbidity in older patients undergoing gastrointestinal surgery: a prospective cohort study
    Chaoyang Gu
    Anqing Lu
    Chen Lei
    Qingbin Wu
    Xubing Zhang
    Mingtian Wei
    Ziqiang Wang
    BMC Surgery, 22
  • [9] Frailty index is useful for predicting postoperative morbidity in older patients undergoing gastrointestinal surgery: a prospective cohort study
    Gu, Chaoyang
    Lu, Anqing
    Chen Lei
    Wu, Qingbin
    Zhang, Xubing
    Wei, Mingtian
    Wang, Ziqiang
    BMC SURGERY, 2022, 22 (01)
  • [10] Incidence of and risk factors for postoperative delirium in older adult patients undergoing noncardiac surgery: a prospective study
    Iamaroon, Arissara
    Wongviriyawong, Titima
    Sura-arunsumrit, Patumporn
    Wiwatnodom, Nattikan
    Rewuri, Nichakarn
    Chaiwat, Onuma
    BMC GERIATRICS, 2020, 20 (01)