Clinical application value of prognostic nutritional index for predicting survival in patients with advanced colorectal cancer

医学 结直肠癌 内科学 多元分析 肿瘤科 单变量分析 阶段(地层学) 癌症 胃肠病学 生物 古生物学
作者
Xin Yan,Lizhuo Wang,Yan Kong
出处
期刊:Chin J Postgrad Med 卷期号:41 (4): 293-296
标识
DOI:10.3760/cma.j.issn.1673-4904.2018.04.002
摘要

Objective To explore the clinical application value of prognostic nutritional index (PNI) for predicting overall survival (OS) in patients with advanced colorectal cancer. Methods Seventy-two patients with histologically confirmed colorectal cancer were enrolled in this study, and their clinical and laboratory data were reviewed. The PNI was calculated, and univariate and multivariate analysis was used to identify the potential prognostic factors for advanced colorectal cancer. Results PNI of the 72 colorectal cancer patients was 45.07 ± 5.98. PNI was significantly associated with age, weight loss and pleural effusion (P 0.05). The median OS of the 72 patients was 12.9 months. The medium OS in the higher PNI group (PNI ≥ 45.07) and lower PNI group (PNI ≤ 45.07) was 15.7 months and 11.2 months, respectively. The 1-year survival rates were 78.4% and 60.5%, and 2-year survival rates were 53.1% and 20.8%, respectively (P < 0.01). Univariate analysis showed that PNI, ages, and weight loss were related to the OS of the advanced colorectal cancer (P < 0.05). Multivariate analysis identified PNI was an independent prognostic factor for OS of advanced colorectal cancer (P < 0.01). Conclusions PNI can be easily calculated, and may be used as a relatively new prognostic indicator for advanced colorectal cancer in clinical practice. Key words: Advanced stage, colorectal cancer; Prognostic nutrition index; Prognosis

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
shine完成签到,获得积分10
1秒前
1秒前
2秒前
2秒前
Kaleem发布了新的文献求助10
3秒前
情怀应助Carrie采纳,获得10
3秒前
柴桑青木完成签到,获得积分0
3秒前
cj326发布了新的文献求助10
4秒前
搜集达人应助chu采纳,获得10
4秒前
4秒前
哈哈哈哈完成签到,获得积分10
5秒前
Llt完成签到 ,获得积分10
5秒前
LAVINE发布了新的文献求助10
5秒前
6秒前
旺旺小老太完成签到,获得积分10
6秒前
YH完成签到,获得积分10
6秒前
厉梦瑶发布了新的文献求助10
6秒前
6秒前
7秒前
Hello应助风过大泽采纳,获得10
8秒前
舒适从蓉发布了新的文献求助10
8秒前
Jenny发布了新的文献求助10
8秒前
老虎皮完成签到,获得积分10
9秒前
9秒前
9秒前
传奇3应助陈静采纳,获得10
9秒前
isykya关注了科研通微信公众号
9秒前
哈哈哈哈发布了新的文献求助10
9秒前
maox1aoxin应助多情紫霜采纳,获得50
10秒前
材料生发布了新的文献求助10
10秒前
Yuxi完成签到,获得积分20
11秒前
11秒前
复蓝发布了新的文献求助10
11秒前
NexusExplorer应助沐易采纳,获得10
12秒前
12秒前
顺利的鱼完成签到,获得积分10
12秒前
12秒前
八角发布了新的文献求助10
12秒前
fuHM完成签到,获得积分10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Digital Twins of Advanced Materials Processing 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6040568
求助须知:如何正确求助?哪些是违规求助? 7777009
关于积分的说明 16231248
捐赠科研通 5186669
什么是DOI,文献DOI怎么找? 2775483
邀请新用户注册赠送积分活动 1758574
关于科研通互助平台的介绍 1642194