TY - JOUR
T1 - Performance of the model for end-stage liver disease score for mortality prediction and the potential role of etiology
AU - D'Amico, Gennaro
AU - Maruzzelli, Luigi
AU - Airoldi, Aldo
AU - Petridis, Ioannis
AU - Tosetti, Giulia
AU - Rampoldi, Antonio
AU - D'Amico, Mario
AU - Miraglia, Roberto
AU - De Nicola, Stella
AU - La Mura, Vincenzo
AU - Solcia, Marco
AU - Volpes, Riccardo
AU - Perricone, Giovanni
AU - Sgrazzutti, Cristiano
AU - Vanzulli, Angelo
AU - Primignani, Massimo
AU - Luca, Angelo
AU - Malizia, Giuseppe
AU - Federico, Alessandro
AU - Dallio, Marcello
AU - Andriulli, Angelo
AU - Iacobellis, Angelo
AU - Addario, Luigi
AU - Garcovich, Matteo
AU - Gasbarrini, Antonio
AU - Chessa, Luchino
AU - Salerno, Francesco
AU - Gobbo, Giulia
AU - Merli, Manuela
AU - Ridola, Lorenzo
AU - Baroni, Gianluca Svegliati
AU - Tarantino, Giuseppe
AU - Caporaso, Nicola
AU - Morisco, Filomena
AU - Pozzoni, Pietro
AU - Colli, Agostino
AU - Belli, Luca Saverio
N1 - Funding Information:
We are most grateful to Dr. Thomas Debray for his important conceptual contribute and thorough manuscript revision; to Dr. Davide Bernasconi for conceptual contribute to the application of the Fine and Gray proportional model for competing risks and for manuscript revision.
Publisher Copyright:
© 2021 European Association for the Study of the Liver
PY - 2021
Y1 - 2021
N2 - Background & Aims: Although the discriminative ability of the model for end-stage liver disease (MELD) score is generally considered acceptable, its calibration is still unclear. In a validation study, we assessed the discriminative performance and calibration of 3 versions of the model: original MELD-TIPS, used to predict survival after transjugular intrahepatic portosystemic shunt (TIPS); classic MELD-Mayo; and MELD-UNOS, used by the United Network for Organ Sharing (UNOS). We also explored recalibrating and updating the model. Methods: In total, 776 patients who underwent elective TIPS (TIPS cohort) and 445 unselected patients (non-TIPS cohort) were included. Three, 6 and 12-month mortality predictions were calculated by the 3 MELD versions: discrimination was assessed by c-statistics and calibration by comparing deciles of predicted and observed risks. Cox and Fine and Grey models were used for recalibration and prognostic analyses. Results: In the TIPS/non-TIPS cohorts, the etiology of liver disease was viral in 402/188, alcoholic in 185/130, and non-alcoholic steatohepatitis in 65/33; mean follow-up±SD was 25±9/19±21 months; and the number of deaths at 3-6-12 months was 57-102-142/31-47-99, respectively. C-statistics ranged from 0.66 to 0.72 in TIPS and 0.66 to 0.76 in non-TIPS cohorts across prediction times and scores. A post hoc analysis revealed worse c-statistics in non-viral cirrhosis with more pronounced and significant worsening in the non-TIPS cohort. Calibration was acceptable with MELD-TIPS but largely unsatisfactory with MELD-Mayo and -UNOS whose performance improved much after recalibration. A prognostic analysis showed that age, albumin, and TIPS indication might be used to update the MELD. Conclusions: In this validation study, the performance of the MELD score was largely unsatisfactory, particularly in non-viral cirrhosis. MELD recalibration and candidate variables for an update to the MELD score are proposed. Lay summary: While the discriminative performance of the model for end-stage liver disease (MELD) score is credited to be fair to good, its calibration, the correspondence of observed to predicted mortality, is still unsettled. We found that application of 3 different versions of the MELD in 2 independent cirrhosis cohorts yielded largely imprecise mortality predictions particularly in non-viral cirrhosis. Thus, we propose a recalibration and suggest candidate variables for an update to the model.
AB - Background & Aims: Although the discriminative ability of the model for end-stage liver disease (MELD) score is generally considered acceptable, its calibration is still unclear. In a validation study, we assessed the discriminative performance and calibration of 3 versions of the model: original MELD-TIPS, used to predict survival after transjugular intrahepatic portosystemic shunt (TIPS); classic MELD-Mayo; and MELD-UNOS, used by the United Network for Organ Sharing (UNOS). We also explored recalibrating and updating the model. Methods: In total, 776 patients who underwent elective TIPS (TIPS cohort) and 445 unselected patients (non-TIPS cohort) were included. Three, 6 and 12-month mortality predictions were calculated by the 3 MELD versions: discrimination was assessed by c-statistics and calibration by comparing deciles of predicted and observed risks. Cox and Fine and Grey models were used for recalibration and prognostic analyses. Results: In the TIPS/non-TIPS cohorts, the etiology of liver disease was viral in 402/188, alcoholic in 185/130, and non-alcoholic steatohepatitis in 65/33; mean follow-up±SD was 25±9/19±21 months; and the number of deaths at 3-6-12 months was 57-102-142/31-47-99, respectively. C-statistics ranged from 0.66 to 0.72 in TIPS and 0.66 to 0.76 in non-TIPS cohorts across prediction times and scores. A post hoc analysis revealed worse c-statistics in non-viral cirrhosis with more pronounced and significant worsening in the non-TIPS cohort. Calibration was acceptable with MELD-TIPS but largely unsatisfactory with MELD-Mayo and -UNOS whose performance improved much after recalibration. A prognostic analysis showed that age, albumin, and TIPS indication might be used to update the MELD. Conclusions: In this validation study, the performance of the MELD score was largely unsatisfactory, particularly in non-viral cirrhosis. MELD recalibration and candidate variables for an update to the MELD score are proposed. Lay summary: While the discriminative performance of the model for end-stage liver disease (MELD) score is credited to be fair to good, its calibration, the correspondence of observed to predicted mortality, is still unsettled. We found that application of 3 different versions of the MELD in 2 independent cirrhosis cohorts yielded largely imprecise mortality predictions particularly in non-viral cirrhosis. Thus, we propose a recalibration and suggest candidate variables for an update to the model.
KW - cirrhosis
KW - clinical prediction rule
KW - MELD
KW - TIPS
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U2 - 10.1016/j.jhep.2021.07.018
DO - 10.1016/j.jhep.2021.07.018
M3 - Article
C2 - 34333100
AN - SCOPUS:85116731504
VL - 75
SP - 1355
EP - 1366
JO - Journal of Hepatology
JF - Journal of Hepatology
SN - 0168-8278
IS - 6
ER -