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Updated: Jan 15, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Prognostic nutritional index predicts survival in older patients with resectable invasive lung adenocarcinoma
Yuanpu Wei1, Weiming Chen1, Hao Chen1
1Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, People's Republic of China; Key Laboratory of Cardio-Thoracic Surgery (Fujian Medical University), Fuzhou, 350001, People's Republic of China; Clinical Research Center for Thoracic Tumors of Fujian Province, Fuzhou, 350001, People's Republic of China.
Introduction:
The clinical utility of preoperative inflammatory and nutritional indices remains unclear in older patients undergoing surgery for resectable invasive lung adenocarcinoma (IAC). This study evaluates the prognostic significance of these indices and develops a predictive model specifically for this vulnerable population.
Methods:
We retrospectively analyzed 376 patients aged ≥70 years who underwent surgical resection for IAC. Eight preoperative inflammatory and nutritional indices were evaluated. Optimal cutoff values were identified using X-tile software. Prognostic implications for overall survival (OS) and progression-free survival (PFS) were assessed through Cox proportional hazards models and Kaplan-Meier analysis. A prognostic nomogram was developed and validated.
Results:
Prognostic nutritional index (PNI) emerged as an independent prognostic factor for both OS (p = 0.038) and PFS (p = 0.008). Patients with low PNI (≤ 51.90) were significantly older (p = 0.006), predominantly male (p = 0.048), and had a history of smoking (p = 0.037). Kaplan-Meier analysis demonstrated significantly lower 5-year OS (82.5 % vs. 91.4 %, p = 0.007; HR = 0.356, 95 % CI 0.162-0.782) and PFS (83.5 % vs. 92.4 %, p = 0.006; HR = 0.366, 95 % CI 0.173-0.733) in the low PNI group compared with high PNI group. The developed nomogram incorporating PNI and other clinical variables demonstrated strong predictive capability, with area under the curve (AUC) values of 0.818, 0.834, and 0.811 for predicting 1-, 3-, and 5-year OS, respectively.
Conclusions:
PNI serves as a robust independent prognostic marker in older patients with resectable IAC, suggesting potential utility for preoperative risk stratification and individualized perioperative management aimed at enhancing patient outcomes.
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