Yacong Bo1, Mingjie Yao2, Ling Zhang3, Wolde Bekalo1, Weiquan Lu4, Quanjun Lu5. 1. Department of Nutrition and Food Hygiene, College of Public Health, Zhengzhou University, Zhengzhou, PR China. 2. Department of Microbiology and Infectious Disease Center, School of Basic Medical Science, Peking University Health Science Center, Beijing, PR China. 3. Department of Hepotobiliary Surgery, Henan Cancer Hospital, Zhengzhou University, Zhengzhou, PR China. 4. Department of Epidemiology, Henan Cancer Hospital, Zhengzhou University, Zhengzhou, PR China. 5. Department of Nutrition and Food Hygiene, College of Public Health, Zhengzhou University, Zhengzhou, PR China. Email: lqjnutr@zzu.edu.cn.
Abstract
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<or=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 hazards 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<or=100.
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<or=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 hazards 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<or=100.
Authors: Pascal Probst; Juri Fuchs; Michael R Schön; Georgios Polychronidis; Christos Stravodimos; Arianeb Mehrabi; Markus K Diener; Philipp Knebel; Markus W Büchler; Katrin Hoffmann Journal: Hepatobiliary Surg Nutr Date: 2020-08 Impact factor: 7.293
Authors: Pascal Probst; Juri Fuchs; Michael R Schoen; Georgios Polychronidis; Tobias Forster; Arianeb Mehrabi; Alexis Ulrich; Philipp Knebel; Katrin Hoffmann Journal: Int J Surg Protoc Date: 2017-09-09