机构地区:[1]Department of Liver Surgery, West China Hospital, Sichuan University
出 处:《Hepatobiliary & Pancreatic Diseases International》2015年第4期394-400,共7页国际肝胆胰疾病杂志(英文版)
基 金:supported by grants from the National Science and Technology Major Project of China(2012ZX10002-016 and 2012ZX10002-017)
摘 要:Liver resection is a major surgery requiring perioperative blood transfusion. Predicting the need for blood transfusion for patients undergoing liver resection is of great importance. The present study aimed to develop and validate a model for predicting transfusion requirement in HBV-related hepatocellular carcinoma patients undergoing liver resection. METHODS: A total of 1543 consecutive liver resections were included in the study. Randomly selected sample set of 1080 cases (70% of the study cohort) were used to develop a predic- tive score for transfusion requirement and the remaining 30% (n=463) was used to validate the score. Based on the preopera- tive and predictable intraoperative parameters, logistic regres- sion was used to identify risk factors and to create an integer score for the prediction of transfusion requirement. RESULTS: Extrahepatic procedure, major liver resection, hemoglobin level and platelets count were identified as inde- pendent predictors for transfusion requirement by logistic regression analysis. A score system integrating these 4 factors was stratified into three groups which could predict the risk of transfusion, with a rate of 11.4%, 24.7% and 57.4% for low, moderate and high risk, respectively. The prediction model appeared accurate with good discriminatory abilities, generat- ing an area under the receiver operating characteristic curve of 0.736 in the development set and 0.709 in the validation set. CONCLUSIONS: We have developed and validated an integer- based risk score to predict perioperative transfusion for pa- tients undergoing liver resection in a high-volume surgicalcenter. This score allows identifying patients at a high risk and may alter transfusion practices.Liver resection is a major surgery requiring perioperative blood transfusion. Predicting the need for blood transfusion for patients undergoing liver resection is of great importance. The present study aimed to develop and validate a model for predicting transfusion requirement in HBV-related hepatocellular carcinoma patients undergoing liver resection. METHODS: A total of 1543 consecutive liver resections were included in the study. Randomly selected sample set of 1080 cases (70% of the study cohort) were used to develop a predic- tive score for transfusion requirement and the remaining 30% (n=463) was used to validate the score. Based on the preopera- tive and predictable intraoperative parameters, logistic regres- sion was used to identify risk factors and to create an integer score for the prediction of transfusion requirement. RESULTS: Extrahepatic procedure, major liver resection, hemoglobin level and platelets count were identified as inde- pendent predictors for transfusion requirement by logistic regression analysis. A score system integrating these 4 factors was stratified into three groups which could predict the risk of transfusion, with a rate of 11.4%, 24.7% and 57.4% for low, moderate and high risk, respectively. The prediction model appeared accurate with good discriminatory abilities, generat- ing an area under the receiver operating characteristic curve of 0.736 in the development set and 0.709 in the validation set. CONCLUSIONS: We have developed and validated an integer- based risk score to predict perioperative transfusion for pa- tients undergoing liver resection in a high-volume surgicalcenter. This score allows identifying patients at a high risk and may alter transfusion practices.
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