BMC Cancer (Dec 2022)

Prognostic significance of preoperative prognostic immune and nutritional index in patients with stage I–III colorectal cancer

  • Hailun Xie,
  • Lishuang Wei,
  • Mingxiang Liu,
  • Yanren Liang,
  • Guanghui Yuan,
  • Shunhui Gao,
  • Qiwen Wang,
  • Xin Lin,
  • Shuangyi Tang,
  • Jialiang Gan

DOI
https://doi.org/10.1186/s12885-022-10405-w
Journal volume & issue
Vol. 22, no. 1
pp. 1 – 10

Abstract

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Abstract Background To explore the value of preoperative prognostic immune and nutritional index (PINI) in predicting postoperative complications and long-term outcomes in patients with stage I–III colorectal cancer (CRC). Methods Restricted cubic splines were used to assess the relationship between PINI and survival in patients with CRC. The Kaplan–Meier method and log-rank test were used to plot the survival curves. The Cox proportional hazards model was used to evaluate independent prognostic predictors in patients with CRC. A logistic regression analysis was performed to identify independent predictors of postoperative complications. The least absolute shrinkage and selection operator (LASSO) logistic regression algorithm was used for feature screening. Results An evident positive dose–response relationship between PINI and survival in patients with CRC was identified. Compared with patients with a high PINI, those with a low PINI had worse disease-free survival (DFS) (47.9% vs. 66.9%, p < 0.001) and overall survival (OS) (49.7% vs. 70.2%, p < 0.001). The Cox proportional hazards model revealed that PINI was independently associated with DFS (hazard ratio [HR], 0.823; 95% confidence interval [CI], 0.754–0.898; p < 0.001) and OS (HR, 0.833; 95% CI, 0.761–0.912; p < 0.001) in patients with CRC. In the logistic regression analysis, PINI was an independent factor affecting postoperative complications in patients with CRC (odds ratio, 0.710; 95%CI: 0.610–0.810, p < 0.001). The LASSO logistic regression algorithm was used to screen for effective prognostic variables. Finally, we constructed PINI-based nomograms to predict postoperative 1–5-year PFS, and OS in patients with CRC. Conclusion PINI is an effective biomarker for predicting postoperative complications, DFS, and OS in patients with stage I–III CRC.

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