The predictive value of postoperative complications in elderly patients with lung cancer after robot-assisted lobectomy by mFI-11
- VernacularTitle:mFI-11对老年肺癌患者行机器人辅助肺叶切除术后并发症的预测价值
- Author:
Jin WANG
1
;
Zhenni TIAN
1
;
Wensheng ZHOU
1
;
Xu TANG
1
;
Yunjiu GOU
2
;
Qizhou BAI
2
Author Information
1. The First Clinical Department of Gansu University of Traditional Chinese Medicine, Lanzhou, 730000, P. R. China
2. Department of Thoracic Surgery, Gansu Provincial Hospital, Lanzhou, 730000, P. R. China
- Publication Type:Journal Article
- Keywords:
Modified frailty index;
robot-assisted;
elderly patients;
lung cancer;
postoperative complications
- From:
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery
2026;33(10):1595-1601
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the predictive value of the modified frailty index-11 (mFI-11) for postoperative complications in elderly lung cancer patients undergoing robot-assisted lobectomy. Methods Clinical data were retrospectively collected from lung cancer patients aged ≥65 years who underwent robot-assisted lobectomy at the Department of Thoracic Surgery, Gansu Provincial Hospital, from January 2022 to June 2025. Based on the optimal grouping threshold of 0.27 in previous studies for the mFI-11 score, patients were divided into a frail and a non-frail group. Postoperative complications of the two groups were analyzed, and multivariable logistic regression was used to assess the relationship between mFI-11 and postoperative complications. The receiver operating characteristic (ROC) curve was drawn to evaluate the predictive efficiency of mFI-11 for postoperative complications. Results A total of 161 patients were included, with 77 males and 84 females, and an average age of (68.48±2.90) years. Among them, 103 (64.0%) patients were in the non-frail group and 58 (36.0%) in the frail group. Differences between the two groups in terms of independent functional status, hypertension requiring drug control, history of type 2 diabetes, history of chronic obstructive pulmonary disease, American Society of Anesthesiologists classification, and tumor staging were all statistically significant (P<0.05). The length of postoperative hospital stay in the frail group was longer than that in the non-frail group [5.50 (5.00, 8.25) d vs. 5.00 (4.00, 5.00) d, P<0.001]. The incidence rates of general respiratory diseases (25.9% vs. 8.7%), hypoproteinemia (15.5% vs. 4.9%), arrhythmia (12.1% vs. 1.9%), bronchopleural fistula (5.2% vs. 0.0%), transfer to ICU for severe complications (10.3% vs. 1.0%), and readmission within 30 days after discharge (12.1% vs. 1.9%) were all higher in the frail group compared to the non-frail group (P<0.05). Multivariable logistic regression analysis found that mFI-11 had a good predictive efficiency for postoperative complications: general respiratory diseases [area under the curve (AUC)=0.759], hypoproteinemia (AUC=0.723), arrhythmia (AUC=0.795), transfer to ICU for severe complications (AUC=0.713), and readmission within 30 days after discharge (AUC=0.702). Conclusion mFI-11 can effectively predict postoperative complications in elderly lung cancer patients undergoing robot-assisted lobectomy and can serve as an objective indicator for identifying high-risk elderly lung cancer patients.