5-factor frailty index predicts postoperative pulmonary infection but not pneumothorax or effusion after lung resection
This retrospective cohort study analyzed data from 391 patients undergoing lung resection to evaluate the association between 5-factor modified frailty index (mFI-5) stratification and postoperative complications. Patients were categorized into Robust, Pre-frail, and Frail groups based on the mFI-5 score. The primary outcome was postoperative pulmonary infection, while secondary outcomes included pneumothorax and pleural effusion. Multivariable logistic regression models were fully adjusted, and multicollinearity was assessed to ensure robustness of the findings.
Regarding the primary outcome, the mFI-5 was a strong, independent predictor of postoperative pulmonary infection. Compared to the Robust group, the Pre-frail group had an odds ratio of 3.5 (95% CI: 1.6–7.9), and the Frail group had an odds ratio of 7.3 (95% CI: 2.0–26.2). Both comparisons yielded a P value of 0.002, indicating statistical significance. Absolute numbers for these events were not reported in the source data.
For secondary outcomes, no significant association was found between mFI-5 stratification and postoperative pneumothorax or pleural effusion. Statistical analysis indicated P values greater than 0.05 for both conditions, suggesting the frailty index did not predict these specific complications in this cohort. Safety data, adverse events, and tolerability were not reported in the study.
Key limitations include the retrospective design and the fact that evidence on differential associations between the mFI-5 and specific postoperative pulmonary complications remains limited. Subgroup analyses suggested risk might be more pronounced in males and smokers, and smoking history or surgical site might modify associations, though these details were not fully detailed. The practice relevance indicates that the predictive capacity of the mFI-5 varies across complication types, necessitating cautious interpretation when applying these findings to clinical decision-making.