BACKGROUND: In patients undergoing transjugular intrahepatic portosystemic shunt (TIPS), prognostic scores may identify those with a poor prognosis or even those with a clear survival benefit. The Child-Pugh score (CPS) is well established but several drawbacks have led to development of the model of end stage liver disease (MELD). AIM: The aim of the study was to compare the predictive power of CPS and MELD, to validate the original MELD formula, and to assess the predictive value of the determinants used in the two prognostic scores outside of a study setting. PATIENTS: A total of 501 patients underwent elective TIPS placement and 475 patients fulfilled the inclusion criteria. METHODS: Data of all patients undergoing elective TIPS in one university hospital and four community hospitals in Vienna, Austria, between 1991 and 2001, were analysed retrospectively. The main statistical tests were Cox proportional hazards regression model, the log rank test, Kaplan-Meier analysis, and concordance c statistics. RESULTS: Median follow up was 5.2 years and median survival was 4.6 years. During follow up, 230 patients died, 75 within three months after TIPS placement. In stepwise proportional hazards analyses, independent predictors of death were creatinine level, bilirubin level, age, and refractory ascites. MELD was better in predicting survival in a stepwise Cox model but both scores were equally predictive in c statistics for one month, three month, and one year survival. Renal function was the strongest independent predictor of survival. CONCLUSIONS: Although MELD was the primary predictor of overall survival in multivariate analysis, c statistics showed that both scores can be used for patients undergoing TIPS with equal accuracy. For assessing prognosis in patients undergoing TIPS implantation, there seems little reason to replace the well established Child-Pugh score.
BACKGROUND: In patients undergoing transjugular intrahepatic portosystemic shunt (TIPS), prognostic scores may identify those with a poor prognosis or even those with a clear survival benefit. The Child-Pugh score (CPS) is well established but several drawbacks have led to development of the model of end stage liver disease (MELD). AIM: The aim of the study was to compare the predictive power of CPS and MELD, to validate the original MELD formula, and to assess the predictive value of the determinants used in the two prognostic scores outside of a study setting. PATIENTS: A total of 501 patients underwent elective TIPS placement and 475 patients fulfilled the inclusion criteria. METHODS: Data of all patients undergoing elective TIPS in one university hospital and four community hospitals in Vienna, Austria, between 1991 and 2001, were analysed retrospectively. The main statistical tests were Cox proportional hazards regression model, the log rank test, Kaplan-Meier analysis, and concordance c statistics. RESULTS: Median follow up was 5.2 years and median survival was 4.6 years. During follow up, 230 patients died, 75 within three months after TIPS placement. In stepwise proportional hazards analyses, independent predictors of death were creatinine level, bilirubin level, age, and refractory ascites. MELD was better in predicting survival in a stepwise Cox model but both scores were equally predictive in c statistics for one month, three month, and one year survival. Renal function was the strongest independent predictor of survival. CONCLUSIONS: Although MELD was the primary predictor of overall survival in multivariate analysis, c statistics showed that both scores can be used for patients undergoing TIPS with equal accuracy. For assessing prognosis in patients undergoing TIPS implantation, there seems little reason to replace the well established Child-Pugh score.
Authors: J M LaBerge; K A Somberg; J R Lake; R L Gordon; R K Kerlan; N L Ascher; J P Roberts; M M Simor; C A Doherty; J Hahn Journal: Gastroenterology Date: 1995-04 Impact factor: 22.682
Authors: J M LaBerge; E J Ring; R L Gordon; J R Lake; M M Doherty; K A Somberg; J P Roberts; N L Ascher Journal: Radiology Date: 1993-05 Impact factor: 11.105
Authors: E Christensen; P Schlichting; L Fauerholdt; C Gluud; P K Andersen; E Juhl; H Poulsen; N Tygstrup Journal: Hepatology Date: 1984 May-Jun Impact factor: 17.425
Authors: A Abad-Lacruz; E Cabré; F González-Huix; F Fernández-Bañares; M Esteve; R Planas; J M Llovet; J C Quer; M A Gassull Journal: Am J Gastroenterol Date: 1993-03 Impact factor: 10.864
Authors: A Arrigoni; T Gindro; G Aimo; N Cappello; A Meloni; P Benedetti; G P Molino; G Verme; M Rizzetto Journal: Hepatology Date: 1994-08 Impact factor: 17.425
Authors: M Rössle; K Haag; A Ochs; M Sellinger; G Nöldge; J M Perarnau; E Berger; U Blum; A Gabelmann; K Hauenstein Journal: N Engl J Med Date: 1994-01-20 Impact factor: 91.245
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