Literature DB >> 28251503

Prognostic Models for Survival in Patients with Stable Cirrhosis: A Multicenter Cohort Study.

Maria Kalafateli1, Konstantinos Zisimopoulos1, Georgia Vourli2, Cristina Rigamonti3, John Goulis4, Emanuel Manesis5, Spilios Manolakopoulos5, Emmanuel Tsochatzis3, Aikaterini Georgiou6, Georgia Diamantopoulou1, Konstantinos Thomopoulos1, Charalambos Gogos7, Giota Touloumi2, Evangelos Akriviadis4, Chryssoula Lambropoulou-Karatza7, Christos Triantos8.   

Abstract

BACKGROUND: Two models are mostly used to predict survival in cirrhosis: the Child-Pugh score (CP score) and the model for end-stage liver disease score (MELD score). AIMS: The aim of this study is to evaluate the CP score and the MELD score for short- and long-term prognosis in cirrhosis, as well as CP-creatinine score, MELD-Na score, and UKELD score.
METHODS: One thousand and forty-seven patients from five referral centers were included: men/women: 620/427, median age: 58 years (IQR 48-66), median follow-up: 33 months (IQR 12-74), CP (A/B/C): 493/357/147, CP score: 7 (IQR 5-9), MELD score: 12 (IQR 9-16). The performance of each score was evaluated by the Cox hazard model in terms of their: discrimination ability (C-index and Somer's D) and calibration (3, 12 months). Internal validation was done with bootstrapping (100 samples).
RESULTS: Three hundred and fifty-two patients (33.6%) died. All scores were significantly associated with overall mortality, when assessed by univariate Cox analysis. CP-creatinine score performed significantly better than all other scores [bootstrap C-index 0.672, 95% CI 0.642-0.703, bootstrap Somer's D 0.344 (0.285-0.401)], apart from CP score, which showed similar performance. Inclusion in the multivariable Cox model of age together with CP-creatinine score improved the discriminative ability of the model [bootstrap C-index (95% CI) 0.700 (0.661-0.740)]. In terms of calibration, CP-creatinine score was the best for both 3- and 12-month survival in the total population.
CONCLUSIONS: CP score and CP-creatinine score have better prognostic value compared to MELD score, MELD-Na score, and UKELD score for predicting short- and long-term mortality in patients with stable cirrhosis.

Entities:  

Keywords:  Cirrhosis; Cox proportional hazards models; Liver diseases; Prognosis; Survival

Mesh:

Year:  2017        PMID: 28251503     DOI: 10.1007/s10620-017-4504-3

Source DB:  PubMed          Journal:  Dig Dis Sci        ISSN: 0163-2116            Impact factor:   3.199


  43 in total

1.  Persistent ascites and low serum sodium identify patients with cirrhosis and low MELD scores who are at high risk for early death.

Authors:  Douglas M Heuman; Souheil G Abou-Assi; Adil Habib; Leslie M Williams; R Todd Stravitz; Arun J Sanyal; Robert A Fisher; Anastasios A Mihas
Journal:  Hepatology       Date:  2004-10       Impact factor: 17.425

Review 2.  Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker.

Authors:  Karel G M Moons; Andre Pascal Kengne; Mark Woodward; Patrick Royston; Yvonne Vergouwe; Douglas G Altman; Diederick E Grobbee
Journal:  Heart       Date:  2012-03-07       Impact factor: 5.994

Review 3.  Hyponatremia in cirrhosis: from pathogenesis to treatment.

Authors:  P Ginés; T Berl; M Bernardi; D G Bichet; G Hamon; W Jiménez; J F Liard; P Y Martin; R W Schrier
Journal:  Hepatology       Date:  1998-09       Impact factor: 17.425

4.  EASL Recommendations on Treatment of Hepatitis C 2016.

Authors: 
Journal:  J Hepatol       Date:  2016-09-22       Impact factor: 25.083

5.  A prognostic model for predicting survival in cirrhosis with ascites.

Authors:  G Fernández-Esparrach; A Sánchez-Fueyo; P Ginès; J Uriz; L Quintó; P J Ventura; A Cárdenas; M Guevara; P Sort; W Jiménez; R Bataller; V Arroyo; J Rodés
Journal:  J Hepatol       Date:  2001-01       Impact factor: 25.083

6.  Validity of prognostic models: when is a model clinically useful?

Authors:  Yvonne Vergouwe; Ewout W Steyerberg; Marinus J C Eijkemans; J Dik F Habbema
Journal:  Semin Urol Oncol       Date:  2002-05

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.  Hyponatremia impairs early posttransplantation outcome in patients with cirrhosis undergoing liver transplantation.

Authors:  Maria-Carlota Londoño; Mónica Guevara; Antoni Rimola; Miquel Navasa; Pilar Taurà; Antoni Mas; Juan-Carlos García-Valdecasas; Vicente Arroyo; Pere Ginès
Journal:  Gastroenterology       Date:  2006-04       Impact factor: 22.682

9.  Primary biliary cirrhosis: prediction of short-term survival based on repeated patient visits.

Authors:  P A Murtaugh; E R Dickson; G M Van Dam; M Malinchoc; P M Grambsch; A L Langworthy; C H Gips
Journal:  Hepatology       Date:  1994-07       Impact factor: 17.425

10.  Model for end stage liver disease score predicts mortality across a broad spectrum of liver disease.

Authors:  Adnan Said; John Williams; Jeremy Holden; Patrick Remington; Ronald Gangnon; Alexandru Musat; Michael R Lucey
Journal:  J Hepatol       Date:  2004-06       Impact factor: 25.083

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