BACKGROUND: Nomograms may be important clinical tools to estimate the preoperative risk of transfusion and allow for preemptive arrangements for alternatives to allogeneic blood transfusions. METHODS: A multicentric international cohort of 1345 patients who underwent hepatectomy for benign or malign liver diseases was used to validate a nomogram developed by the Memorial Sloan-Kettering Cancer Center. RESULTS: A total of 449 (33.3 %) patients received a blood transfusion after hepatectomy. Several variables were associated with the need of transfusion on univariate analysis: age, BMI, hemoglobin, PT-INR, bilirubin, AST, ALT, GGT, albumin, primary liver cancer, and number of segments resected. The MSKCC nomogram, including the number of segments resected, diagnosis (primary vs. non-primary), extrahepatic organ resection, as well as platelet and hemoglobin levels, had a good predictive ability (AUC = 0.69). The frequency of patients transfused ranged from 19 % for patients who were at "low risk" (<20 % risk to be transfused) up to 68 % for patients at "high risk" (>70 % risk to be transfused). The nomogram was tested in a multivariable model including other factors associated with risk of transfusion. The final model included age (OR 1.02, 95 % CI 1.01-1.03, p < 0.001), PT-INR (OR 1.54, 95 % CI 1.01-2.36, p = 0.048), and bilirubin (OR 1.86, 95 % CI 1.09-3.18, p = 0.021). The prediction ability for the integrated prediction model was AUC = 0.73. CONCLUSION: The MSKCC nomogram was an effective clinical tool able to predict the perioperative risk of transfusion in our independent external validation. The inclusion of patient age, as well as factors associated with liver functional status (bilirubin and PT-INR), improved the predictive ability of the MSKCC nomogram.
BACKGROUND: Nomograms may be important clinical tools to estimate the preoperative risk of transfusion and allow for preemptive arrangements for alternatives to allogeneic blood transfusions. METHODS: A multicentric international cohort of 1345 patients who underwent hepatectomy for benign or malign liver diseases was used to validate a nomogram developed by the Memorial Sloan-Kettering Cancer Center. RESULTS: A total of 449 (33.3 %) patients received a blood transfusion after hepatectomy. Several variables were associated with the need of transfusion on univariate analysis: age, BMI, hemoglobin, PT-INR, bilirubin, AST, ALT, GGT, albumin, primary liver cancer, and number of segments resected. The MSKCC nomogram, including the number of segments resected, diagnosis (primary vs. non-primary), extrahepatic organ resection, as well as platelet and hemoglobin levels, had a good predictive ability (AUC = 0.69). The frequency of patients transfused ranged from 19 % for patients who were at "low risk" (<20 % risk to be transfused) up to 68 % for patients at "high risk" (>70 % risk to be transfused). The nomogram was tested in a multivariable model including other factors associated with risk of transfusion. The final model included age (OR 1.02, 95 % CI 1.01-1.03, p < 0.001), PT-INR (OR 1.54, 95 % CI 1.01-2.36, p = 0.048), and bilirubin (OR 1.86, 95 % CI 1.09-3.18, p = 0.021). The prediction ability for the integrated prediction model was AUC = 0.73. CONCLUSION: The MSKCC nomogram was an effective clinical tool able to predict the perioperative risk of transfusion in our independent external validation. The inclusion of patient age, as well as factors associated with liver functional status (bilirubin and PT-INR), improved the predictive ability of the MSKCC nomogram.
Authors: Camelia S Sima; William R Jarnagin; Yuman Fong; Elena Elkin; Mary Fischer; David Wuest; Michael D'Angelica; Ronald P DeMatteo; Leslie H Blumgart; Mithat Gönen Journal: Ann Surg Date: 2009-12 Impact factor: 12.969
Authors: Rebecca A Schroeder; Carlos E Marroquin; Barbara Phillips Bute; Shukri Khuri; William G Henderson; Paul C Kuo Journal: Ann Surg Date: 2006-03 Impact factor: 12.969
Authors: David A Kooby; Jennifer Stockman; Leah Ben-Porat; Mithat Gonen; William R Jarnagin; Ronald P Dematteo; Scott Tuorto; David Wuest; Leslie H Blumgart; Yuman Fong Journal: Ann Surg Date: 2003-06 Impact factor: 12.969