CONUT can be a predictor of postoperative complications after laparoscopic-assisted radical gastrectomy for elderly gastric cancer patients

Author:

Lin Jian1,Liang Huiping2,Zheng Huanhuan1,Li Shengqi2,Liu Huaying2ORCID,Ge Xiaolong3

Affiliation:

1. Sir Run Run Shaw Hospital, Affiliated with the Zhejiang University School of Medicine Longyou Campus, Longyou, China

2. Department of Medicine, GuangXi Medical College, Nanning, China.

3. Department of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China

Abstract

Compared with young patients, elderly patients with gastric cancer usually have lower muscle mass, poorer nutritional status, lower immunity, and worse cardiopulmonary function. Therefore, how to improve the prognosis of elderly gastric cancer patients after laparoscopic-assisted radical gastrectomy is the focus and difficulty of clinician. The aim of our study was to investigate the risk factors for postoperative complications of these patients. The data of gastric cancer patients aged ≥ 60 years who underwent laparoscopic-assisted radical gastrectomy were analyzed. Univariate was used to determine the potential risk factors and then multivariate analyses was used to determine the independent risk factors for postoperative complications. Univariate analysis showed that age, preoperative red blood cell (RBC), preoperative albumin (ALB), preoperative C-reactive protein (CRP), preoperative hemoglobin (Hb), preoperative blood transfusion, preoperative lymphocytes, total cholesterol, CRP-to-ALB ratio, controlling nutritional status (CONUT) score, TNM stage were all the potential risk factors for postoperative complications. Binary logistic regression showed that CONUT, age and preoperative RBC were correlated with postoperative complications. For elderly gastric cancer patients after laparoscopic-assisted radical gastrectomy, CONUT, age and preoperative RBC were all the independent risk factors for overall postoperative complications and could be used as reliable indicators for judging the short-term prognosis.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine

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