The advanced lung cancer inflammation index predicts short and long-term outcomes in patients with colorectal cancer following surgical resection: a retrospective study.

Abstract:

Background and Purpose:Several studies have proposed that the advanced lung cancer inflammation index (ALI), a new inflammation-related index, can be used for the prognosis assessment of various malignancies. However, few studies have reported its prognostic value in colorectal cancer (CRC). Therefore, this study explored the relationship between ALI and outcomes in CRC patients. Methods:A total of 662 CRC patients who underwent surgery between 2012 and 2014 were included. The ALI was defined as: body mass index × serum albumin/neutrophil to lymphocyte ratio. The X-tile program identified the optimal cut-off value of ALI. Logistic regression analyses determined factors affecting postoperative complications. The Kaplan-Meier method and Cox proportional hazards analyses evaluated potential prognostic factors. Results:The optimal cut-off of ALI in males and females were 31.6 and 24.4, respectively. Low-ALI was an independent risk factor for postoperative complications in CRC patients (odds ratio: 1.933, 95% CI [1.283-2.911], p = 0.002). Low-ALI groups also had significantly lower progression-free survival (PFS) and overall survival (OS), when compared with the high-ALI group, especially at advance tumor stages. Using multivariate analysis, ALI was determined as an independent prognostic factor for PFS (hazard ratio: 1.372, 95% CI [1.060-1.777], p = 0.016) and OS (hazard ratio: 1.453, 95% confidence interval: 1.113-1.898, p = 0.006). Conclusion:ALI is an independent predictor of short and long-term outcomes in CRC patients, especially at advance tumor stages. The ALI-based nomograms can provide accurate and individualized prediction of postoperative complication risk and survival for CRC patients.

journal_name

PeerJ

journal_title

PeerJ

authors

Xie H,Huang S,Yuan G,Kuang J,Yan L,Wei L,Tang S,Gan J

doi

10.7717/peerj.10100

subject

Has Abstract

pub_date

2020-10-08 00:00:00

pages

e10100

issn

2167-8359

pii

10100

journal_volume

8

pub_type

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