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Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Association between 12 composite inflammatory indices and postoperative complications in colorectal cancer surgery: a
Chunpeng Pan1, Jiwei Yu1, Shuai Huang2
1Department of General Surgery, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Background:
Postoperative complications (POCs) remain a major challenge in colorectal cancer (CRC) surgery. Easily accessible composite inflammatory indices derived from routine blood tests hold promise for preoperative risk stratification, but their comparative predictive value for POCs is unclear.
Methods:
We conducted a two-center, retrospective study of 1331 patients who underwent radical CRC surgery between January 2021 to October 2025. The associations between preoperative composite inflammatory indices and the complications after surgery were evaluated using logistic regression. Their predictive discriminative performances were further assessed and compared using receiver operating characteristic (ROC) curve analysis, with the areas under the curve (AUC) compared by DeLong's test.
Results:
The complication rate was 17.2% (229/1331). Patients with complications exhibited a significantly more pronounced pro-inflammatory and immunosuppressive preoperative profile across all indices (all P < 0.05). After adjustment, the systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), C-reactive protein-to-lymphocyte ratio (CLR), and systemic inflammation response index (SIRI) were identified as the strongest independent predictors, with the highest quartile (Q4) conferring substantially increased risks (OR for SII: 7.51; for NLR: 5.86; for CLR: 2.24; for SIRI: 2.99; all P-trend <0.05). ROC analysis confirmed SII as the best single predictor (AUC: 0.738). A combined model integrating SII, NLR, CLR, and SIRI achieved superior discriminative ability (AUC: 0.792), significantly outperforming any single index (all P < 0.05).
Conclusion:
The SII, NLR, CLR and SIRI, are strongly associated with the risk of POCs after CRC surgery. A model combining these four indices provides superior predictive performance.
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