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Performance of the model for end-stage liver disease score for mortality prediction and the potential role of etiology

Authors :
Roberto Miraglia
Matteo Garcovich
Giulia Tosetti
Nicola Caporaso
Agostino Colli
Antonio Rampoldi
Ioannis Petridis
Stella De Nicola
Angelo Andriulli
Marcello Dallio
Giovanni Perricone
G. Gobbo
Filomena Morisco
Antonio Gasbarrini
Pietro Pozzoni
Giuseppe Malizia
Angelo Vanzulli
Gennaro D'Amico
Gianluca Svegliati Baroni
Angelo Luca
Francesco Salerno
Mario D'Amico
Manuela Merli
Luca S. Belli
Vincenzo La Mura
Luchino Chessa
A. Iacobellis
Giuseppe Tarantino
Marco Solcia
Cristiano Sgrazzutti
Lorenzo Ridola
Luigi Maruzzelli
Alessandro Federico
Aldo Airoldi
Luigi Addario
Riccardo Volpes
Massimo Primignani
D'Amico, G.
Maruzzelli, L.
Airoldi, A.
Petridis, I.
Tosetti, G.
Rampoldi, A.
D'Amico, M.
Miraglia, R.
De Nicola, S.
La Mura, V.
Solcia, M.
Volpes, R.
Perricone, G.
Sgrazzutti, C.
Vanzulli, A.
Primignani, M.
Luca, A.
Malizia, G.
Federico, A.
Dallio, M.
Andriulli, A.
Iacobellis, A.
Addario, L.
Garcovich, M.
Gasbarrini, A.
Chessa, L.
Salerno, F.
Gobbo, G.
Merli, M.
Ridola, L.
Baroni, G. S.
Tarantino, G.
Caporaso, N.
Morisco, F.
Pozzoni, P.
Colli, A.
Belli, L. S.
D'Amico, Gennaro
Maruzzelli, Luigi
Airoldi, Aldo
Petridis, Ioanni
Tosetti, Giulia
Rampoldi, Antonio
D'Amico, Mario
Miraglia, Roberto
De Nicola, Stella
La Mura, Vincenzo
Solcia, Marco
Volpes, Riccardo
Perricone, Giovanni
Sgrazzutti, Cristiano
Vanzulli, Angelo
Primignani, Massimo
D'Angelo, Luca
Malizia, Giuseppe
Federico, Alessandro
Dallio, Marcello
Andriulli, Angelo
Iacobellis, Angelo
Addario, Luigi
Garcovich, Matteo
Gasbarrini, Antonio
Chessa, Luchino
Salerno, Francesco
Gobbo, Giulia
Merli, Manuela
Ridola, Lorenzo
Baroni, Gianluca Svegliati
Tarantino, Giuseppe
Caporaso, Nicola
Morisco, Filomena
Pozzoni, Pietro
Colli, Agostino
Belli, Luca Saverio
D'Amico, G
Maruzzelli, L
Airoldi, A
Petridis, I
Tosetti, G
Rampoldi, A
D'Amico, M
Miraglia, R
De Nicola, S
La Mura, V
Solcia, M
Volpes, R
Perricone, G
Sgrazzutti, C
Vanzulli, A
Primignani, M
Luca, A
Malizia, G
Federico, A
Dallio, M
Andriulli, A
Iacobellis, A
Addario, L
Garcovich, M
Gasbarrini, A
Chessa, L
Salerno, F
Gobbo, G
Merli, M
Ridola, L
Baroni, G
Tarantino, G
Caporaso, N
Morisco, F
Pozzoni, P
Colli, A
Belli, L
Source :
Journal of hepatology. 75(6)
Publication Year :
2021

Abstract

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.

Details

ISSN :
16000641
Volume :
75
Issue :
6
Database :
OpenAIRE
Journal :
Journal of hepatology
Accession number :
edsair.doi.dedup.....fe4e0ae60bab62fa5fc767a787db99e1