The predictive value of the prognostic nutritional index to postoperative prognosis and nursing intervention measures for colorectal cancer.

医学 结直肠癌 内科学 多元分析 危险系数 比例危险模型 肿瘤科 单变量分析 入射(几何) 根治性手术 癌症 置信区间 物理 光学
作者
Yongmei Zhu,Lihua Fan,Xuefeng Geng,Jing Li
出处
期刊:PubMed [National Institutes of Health]
卷期号:13 (12): 14096-14101 被引量:4
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This study discussed and analyzed the predictive value of the prognostic nutritional index (PNI) to postoperative prognosis and nursing intervention measures for colorectal cancer.196 patients with colorectal cancer who underwent radical resection in gastrointestinal surgery were retrospectively analyzed. The patients' data and follow-up results were collected and classified into two groups based on the PNI, i.e., the high PNI group (≥45.61, 107 cases) and the low PNI group (<45.61, 89 cases) by reregarding PNI 45.61 as the threshold value. The differences in clinical materials and prognosis between the two groups were compared, and the multivariate analysis of 5-year survival after radical resection of colorectal cancer was conducted by Cox proportional hazard model.The incidence of postoperative complications and severe complications in low PNI group was critically higher than those in high PNI group (P<0.05). Besides, the postoperative disease-free survival and overall survival of the high PNI patients were obviously superior to those of the counterpart (P<0.05). In addition, the results of univariate and multivariate analysis showed that age, TNM staging and PNI were independent risk factors that affected the postoperative survival of patients with colorectal cancer (P<0.05).The preoperative PNI is an independent risk factor that affects the survival of colorectal cancer patients after radical resection. PNI assessment of patients with colorectal cancer helps predict the clinical prognosis of patients. At the same time, the corresponding nursing countermeasures were provided according to the PNI score to improve patients' nutritional status and immune function, which may eventually improve the clinical prognosis.

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