Preoperative Nutritional Risk Index to predict postoperative survival time in primary liver cancer patients

• Published in: Asia Pacific journal of clinical nutrition Vol. 24; no. 4; pp. 591 - 597
• Main Authors: Bo, Yacong, Yao, Mingjie, Zhang, Ling, Bekalo, Wolde, Lu, Weiquan, Lu, Quanjun
• Format: Journal Article
• Language: English
• Published: Clayton, Vic HEC Press 01.12.2015
• Subjects: Adult; Aged; Cancer; China; Complications; Female; Hepatectomy; Hepatectomy - mortality; Humans; Kaplan-Meier Estimate; Liver; Liver Neoplasms - mortality; Liver Neoplasms - surgery; Male; Malnutrition; Malnutrition - complications; Middle Aged; Mortality; Nutrition; Nutritional Status; Physiological aspects; Preoperative Period; Prognosis; Proportional Hazards Models; Risk Factors; Survival analysis (Biometry); Survival Rate; Time Factors; Treatment; Weight Loss; China
• ISSN: 0964-7058; 1440-6047
• DOI: 10.6133/apjcn.2015.24.4.26

Background and Objectives: We designed this study to determine the predictive value of Nutritional Risk Index (NRI) for postoperative survival time of patients who had undergone hepatectomy for primary liver cancer. Methods and Study Design: The 620 patients who underwent hepatectomy for primary liver cancer (PLC) in the Department of Hepatobiliary Surgery, Cancer Hospital of Henan Province, Zhengzhou, China from December 1, 2008 to December 1, 2012 were followed up. A nutritional risk index (NRI) was used to screen the patients with malnutrition (NRI <=100). At the same time, the prognosis and survival of the patients were recorded. Kaplan-Meier curve with log-rank test was used to analyze the relationship between malnutrition and prognosis of the subjects. Also the postoperative survival time and its influencing factors were analyzed by Cox proportional haz-ards model. Results: The cumulative survival probability at 1, 3, and 5 years of the 620 subjects was 49%, 33% and 29% respectively. Kaplan-Meier analysis with log-rank test showed that non-malnourished (NRI values >100) patients had longer postoperative survival time compared with malnourished patients. NRI values >100 was sig-nificantly associated with longer postoperative survival time. Cox proportional hazards model showed that NRI was an independent predictor of postoperative survival time and that NRI varied inversely with the risk of death. Conclusion: The patients with NRI values >100 survived longer than those with NRI values <=100.