Prognostic nutritional index predicts postoperative outcome in colorectal cancer

Yasuhiko Mohri, Yasuhiro Inoue, Koji Tanaka, Junichirou Hiro, Keiichi Uchida, Masato Kusunoki

Research output: Contribution to journalArticlepeer-review

259 Citations (Scopus)

Abstract

Background: The prognostic nutritional index (PNI), which is calculated based on the serum albumin concentration and peripheral blood lymphocyte count, is a useful tool for predicting short-term and long-term postoperative outcome in patients undergoing cancer surgery. However, few studies have investigated PNI in colorectal cancer surgery. We examined the ability of PNI to predict short- and long-term outcomes in patients with colorectal cancer. Methods: This retrospective study included 365 patients who underwent resection for colorectal cancer. The prognostic nutritional status was calculated on the basis of admission data as follows: 10 × serum albumin (g/dl) + 0.005 × total lymphocyte count (per mm3). The primary outcomes measured were the impact of PNI on overall survival and postoperative complications. Results: Kaplan-Meier analysis and the log rank test revealed that low PNI was significantly associated with poor survival (P < 0.0001). In multivariate analysis for survival, preoperative low PNI was an independent prognostic factor for poor survival: odds ratio: 2.25, 95 % confidence interval 1.42-3.59). Moreover, low PNI significantly correlated with the incidence of postoperative complications, especially serious ones. Conclusions: Preoperative PNI is a useful predictor of postoperative complications and survival in patients with colorectal cancer.

Original languageEnglish
Pages (from-to)2688-2692
Number of pages5
JournalWorld Journal of Surgery
Volume37
Issue number11
DOIs
Publication statusPublished - 11-2013
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Surgery

Fingerprint

Dive into the research topics of 'Prognostic nutritional index predicts postoperative outcome in colorectal cancer'. Together they form a unique fingerprint.

Cite this