Literature DB >> 27480755

Liver dysfunction as predictor of prognosis in patients with amyloidosis: utility of the Model for End-stage Liver disease (MELD) scoring system.

Francesco Cappelli1,2, Samuele Baldasseroni3,4, Franco Bergesio5, Valentina Spini3, Alessia Fabbri6, Paola Angelotti6, Elisa Grifoni7, Paola Attanà7, Francesca Tarantini4, Niccolò Marchionni4, Alberto Moggi Pignone7, Federico Perfetto5,7.   

Abstract

Amyloidosis prognosis is often related to the onset of heart failure and a worsening that is concomitant with kidney-liver dysfunction; thus the Model for End-stage Liver disease (MELD) may be an ideal instrument to summarize renal-liver function. Our aim has been to test the MELD score as a prognostic tool in amyloidosis. We evaluated 128 patients, 46 with TTR-related amyloidosis and 82 with AL amyloidosis. All patients had a complete clinical and echocardiography evaluation; overall biohumoral assessment included troponin I, NT-proBNP, creatinine, total bilirubin and INR ratio. The study population was dichotomized at the 12 cut-off level of MELD scores; those with MELD score >12 had a lower survival compared to controls in the study cohort (40.7 vs 66.3 %; p = 0.006). Either as a continuous and dichotomized variable, MELD shows its independent prognostic value at multivariable analysis (HR = 1.199, 95 % CI 1.082-1.329; HR = 2.707, 95 % CI 1.075-6.817, respectively). MELD shows a lower prognostic sensitivity/specificity ratio than troponin I and NT-proBNP in the whole study population and AL subgroup, while in TTR patients MELD has a higher sensitivity/specificity ratio compared to troponin and NT-proBNP (ROC analysis-AUC: 0.853 vs 0.726 vs 0.659). MELD is able to predict prognosis in amyloidosis. A MELD score >12 selects a subgroup of patients with a higher risk of death. The predictive accuracy seems to be more evident in TTR patients in whom currently no effective scoring systems have been validated.

Entities:  

Keywords:  Amyloid; Liver dysfunction; MELD; Prognosis

Mesh:

Year:  2016        PMID: 27480755     DOI: 10.1007/s11739-016-1500-0

Source DB:  PubMed          Journal:  Intern Emerg Med        ISSN: 1828-0447            Impact factor:   3.397


  33 in total

1.  The combination of high-sensitivity cardiac troponin T (hs-cTnT) at presentation and changes in N-terminal natriuretic peptide type B (NT-proBNP) after chemotherapy best predicts survival in AL amyloidosis.

Authors:  Giovanni Palladini; Alessandra Barassi; Catherine Klersy; Rosana Pacciolla; Paolo Milani; Gabriele Sarais; Stefano Perlini; Riccardo Albertini; Paola Russo; Andrea Foli; Letizia Zenone Bragotti; Laura Obici; Remigio Moratti; Gian Vico Melzi d'Eril; Giampaolo Merlini
Journal:  Blood       Date:  2010-07-19       Impact factor: 22.113

Review 2.  Diagnosis and management of the cardiac amyloidoses.

Authors:  Rodney H Falk
Journal:  Circulation       Date:  2005-09-27       Impact factor: 29.690

3.  Recommendations for chamber quantification: a report from the American Society of Echocardiography's Guidelines and Standards Committee and the Chamber Quantification Writing Group, developed in conjunction with the European Association of Echocardiography, a branch of the European Society of Cardiology.

Authors:  Roberto M Lang; Michelle Bierig; Richard B Devereux; Frank A Flachskampf; Elyse Foster; Patricia A Pellikka; Michael H Picard; Mary J Roman; James Seward; Jack S Shanewise; Scott D Solomon; Kirk T Spencer; Martin St John Sutton; William J Stewart
Journal:  J Am Soc Echocardiogr       Date:  2005-12       Impact factor: 5.251

4.  Right ventricular function in AL amyloidosis: characteristics and prognostic implication.

Authors:  Francesco Cappelli; Maria Cristina Porciani; Franco Bergesio; Stefano Perlini; Paola Attanà; Alberto Moggi Pignone; Francesco Salinaro; Francesco Musca; Luigi Padeletti; Federico Perfetto
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2011-12-16       Impact factor: 6.875

5.  Risk stratification of ambulatory patients with advanced heart failure undergoing evaluation for heart transplantation.

Authors:  Tomoko S Kato; Gerin R Stevens; Jeffrey Jiang; P Christian Schulze; Natalie Gukasyan; Matthew Lippel; Alison Levin; Shunichi Homma; Donna Mancini; Maryjane Farr
Journal:  J Heart Lung Transplant       Date:  2013-03       Impact factor: 10.247

6.  Noninvasive etiologic diagnosis of cardiac amyloidosis using 99mTc-3,3-diphosphono-1,2-propanodicarboxylic acid scintigraphy.

Authors:  Enrica Perugini; Pier Luigi Guidalotti; Fabrizio Salvi; Robin M T Cooke; Cinzia Pettinato; Letizia Riva; Ornella Leone; Mohsen Farsad; Paolo Ciliberti; Letizia Bacchi-Reggiani; Francesco Fallani; Angelo Branzi; Claudio Rapezzi
Journal:  J Am Coll Cardiol       Date:  2005-09-20       Impact factor: 24.094

Review 7.  A model to predict survival in patients with end-stage liver disease.

Authors:  P S Kamath; R H Wiesner; M Malinchoc; W Kremers; T M Therneau; C L Kosberg; G D'Amico; E R Dickson; W R Kim
Journal:  Hepatology       Date:  2001-02       Impact factor: 17.425

8.  Abnormal liver function in relation to hemodynamic profile in heart failure patients.

Authors:  V M van Deursen; K Damman; H L Hillege; A P van Beek; D J van Veldhuisen; A A Voors
Journal:  J Card Fail       Date:  2009-09-26       Impact factor: 5.712

9.  Utility and limitations of 3,3-diphosphono-1,2-propanodicarboxylic acid scintigraphy in systemic amyloidosis.

Authors:  David F Hutt; Anne-Marie Quigley; Joanne Page; Margaret L Hall; Maria Burniston; Dorothea Gopaul; Thirusha Lane; Carol J Whelan; Helen J Lachmann; Julian D Gillmore; Philip N Hawkins; Ashutosh D Wechalekar
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2014-06-16       Impact factor: 6.875

10.  Native T1 mapping in transthyretin amyloidosis.

Authors:  Marianna Fontana; Sanjay M Banypersad; Thomas A Treibel; Viviana Maestrini; Daniel M Sado; Steven K White; Silvia Pica; Silvia Castelletti; Stefan K Piechnik; Matthew D Robson; Janet A Gilbertson; Dorota Rowczenio; David F Hutt; Helen J Lachmann; Ashutosh D Wechalekar; Carol J Whelan; Julian D Gillmore; Philip N Hawkins; James C Moon
Journal:  JACC Cardiovasc Imaging       Date:  2014-01-08
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  1 in total

1.  Prognostic Factors of AL-PCMM and AL-MM: A Single-Center Retrospective Study.

Authors:  Junhui Xu; Zhixiang Qiu; Miao Yan; Bingjie Wang; Zhengyang Song; Huihui Liu; Mangju Wang; Xinan Cen
Journal:  Int J Med Sci       Date:  2022-03-14       Impact factor: 3.738

  1 in total

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