Prognostic value of the preoperative prognostic nutritional and systemic immunoinflammatory indexes in patients with colorectal cancer

被引：0
作者：
Haifeng Li [1 ]
Wei Sun [2 ]
Shengfeng Fu [4 ]
Junfeng Wang [3 ]
Bin Jin [1 ]
Shuo Zhang [2 ]
Yujun Liu [1 ]
Qinyang Zhang [2 ]
Honggang Wang [1 ]
机构：
[1] Department of General Surgery, Taizhou School of Clinical Medicine, The Affiliated Taizhou People’s Hospital of Nanjing Medical University, Nanjing Medical University, 366 Taihu Road, Taizhou
[2] Postgraduate School, Dalian Medical University, Dalian
[3] Department of Hepatobiliary Surgery, Taizhou School of Clinical Medicine, The Affiliated Taizhou People’s Hospital of Nanjing Medical University, Nanjing Medical University, Taizhou
[4] Hefei High-Tech Cardiovascular Hospital, Hefei
[5] Taizhou Clinical Medical College, Nanjing Medical University, Nanjing
[6] Department of Orthopedics, The First Affliated Hospital of Chongqing Medical University, Chongqing
[7] Orthopedic Laboratory of Chongqing Medical University, Chongqing
来源：
BMC Cancer | / 25卷 / 1期
关键词：
Colorectal cancer; Prognosis; Prognostic nutritional index; Systemic immune-inflammation index;
D O I：
10.1186/s12885-025-13828-3
中图分类号：
学科分类号：
摘要：
Introduction: Colorectal cancer (CRC) is a common malignant tumor of the digestive tract. Although many prognostic indicators are currently available, it remains unclear which indicators are the most beneficial for patients with CRC. Therefore, there is a critical need to identify a simple, convenient and accurate prognostic indicator. Purpose: To investigate the clinical significance of the systemic immune-inflammation index (SII) and prognostic nutritional index (PNI) as prognostic indicators for the survival of patients with CRC. Methods: The clinical data of CRC patients admitted to the general surgery ward of Taizhou People’s Hospital affiliated to Nanjing Medical University from January 2015 to January 2018 were retrospectively analyzed. Two prognostic indicators (SII and PNI) were compared to evaluate their prognostic value in CRC patients. Results: Based on these variables, we constructed a LASSO prediction model. The AUC (Area Under the Curve) value and 95% CI of the training group were 0.917 (0.858–0.976) compared to 0.932 (0.846–1.000) in the validation group. We found that CEA > 5 ng/mL, tumor stage, pathological type, postoperative complications, and PNI were associated with the five-year survival rate of CRC patients. Receiver Operating Characteristic Curves (ROC) were drawn to assess the prediction accuracy of the model. The AUC and 95% CI of the training group were 0.913 (0.854–0.972), while the AUC and 95% CI of the validation group were 0.954 (0.899–1.000). Conclusions: PNI is an independent risk factor for postoperative complications associated with CRC and a powerful tool for predicting survival outcomes in CRC patients. © The Author(s) 2025.
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