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

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 a...

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Detalles Bibliográficos
Autores principales: Xie, Hailun, Wei, Lishuang, Liu, Mingxiang, Liang, Yanren, Yuan, Guanghui, Gao, Shunhui, Wang, Qiwen, Lin, Xin, Tang, Shuangyi, Gan, Jialiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756500/
https://www.ncbi.nlm.nih.gov/pubmed/36522702
http://dx.doi.org/10.1186/s12885-022-10405-w
Descripción
Sumario: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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10405-w.

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