Literature DB >> 22380485

Cystatin C is a strong predictor of survival in patients with cirrhosis: is a cystatin C-based MELD better?

Armin Finkenstedt1, Livia Dorn, Michael Edlinger, Wolfgang Prokop, Lorenz Risch, Andrea Griesmacher, Ivo Graziadei, Wolfgang Vogel, Heinz Zoller.   

Abstract

BACKGROUND/AIMS: The model of end stage liver disease (MELD) includes serum creatinine, which is a poor surrogate marker of renal function in patients with cirrhosis. Especially in women and patients with advanced disease creatinine underestimates true renal function. Our objective was to assess whether or not the substitution of creatinine by cystatin C improves the prognostic performance of the model.
METHODS: The association between MELD parameters and cystatin C with survival was investigated using a Cox proportional hazards model. A cystatin C-based MELD score was calculated from the results and compared with creatinine-based MELD in terms of discrimination and calibration.
RESULTS: Four hundred and twenty-nine patients were included in the study; 19% died and 12% underwent liver transplantation during a median follow-up of 602 days. In multivariate Cox regression, cystatin C was an independent predictor of 90-day mortality with a hazard ratio of 8.0 (95% CI: 2.2-29.6). The median cystatin C-based MELD was 15, the median creatinine-based MELD was 12. Calibration and discrimination for 3 month and 1 year mortality was similar between the scores (AUC > 0.85 for both scores). Gender differences in cystatin C-based MELD were less pronounced than those in the creatinine-based model, because creatinine but not cystatin C was affected by gender.
CONCLUSION: Substitution of creatinine by cystatin C does not improve the predictive power of MELD.
© 2012 John Wiley & Sons A/S.

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Year:  2012        PMID: 22380485     DOI: 10.1111/j.1478-3231.2012.02766.x

Source DB:  PubMed          Journal:  Liver Int        ISSN: 1478-3223            Impact factor:   5.828


  9 in total

1.  Is an estimated glomerular filtration rate better than creatinine to be incorporated into the end-stage liver disease score?

Authors:  Yu-Wei Chen; Ching-Wei Chang; Chen-Wang Chang; Tsang-En Wang; Chih-Jen Wu; Han-Hsiang Chen
Journal:  World J Hepatol       Date:  2012-11-27

Review 2.  Renal dysfunction in patients with cirrhosis: Where do we stand?

Authors:  Chrysoula Pipili; Evangelos Cholongitas
Journal:  World J Gastrointest Pharmacol Ther       Date:  2014-08-06

Review 3.  Value of Liver Function Tests in Cirrhosis.

Authors:  Praveen Sharma
Journal:  J Clin Exp Hepatol       Date:  2021-11-14

4.  Cystatin C Is a Gender-Neutral Glomerular Filtration Rate Biomarker in Patients with Cirrhosis.

Authors:  Ayse L Mindikoglu; Antone R Opekun; William E Mitch; Laurence S Magder; Robert H Christenson; Thomas C Dowling; Matthew R Weir; Stephen L Seliger; Charles D Howell; Jean-Pierre Raufman; Abbas Rana; John A Goss; Saira A Khaderi; John M Vierling
Journal:  Dig Dis Sci       Date:  2018-02-01       Impact factor: 3.199

Review 5.  Update on cystatin C: incorporation into clinical practice.

Authors:  Michael G Shlipak; Monica D Mattes; Carmen A Peralta
Journal:  Am J Kidney Dis       Date:  2013-05-20       Impact factor: 8.860

6.  Serum cystatin C as a predictor of 90-day mortality among patients admitted with complications of cirrhosis.

Authors:  Anuchit Suksamai; Amnart Chaiprasert; Sakkarin Chirapongsathorn
Journal:  JGH Open       Date:  2021-04-07

7.  Transferrin as a predictor of survival in cirrhosis.

Authors:  André Viveiros; Armin Finkenstedt; Benedikt Schaefer; Mattias Mandorfer; Bernhard Scheiner; Konrad Lehner; Moritz Tobiasch; Thomas Reiberger; Herbert Tilg; Michael Edlinger; Heinz Zoller
Journal:  Liver Transpl       Date:  2018-03       Impact factor: 5.799

8.  Role of biomarkers as predictors of acute kidney injury and mortality in decompensated cirrhosis.

Authors:  Sang Kyung Jo; Jihyun Yang; Sang Muk Hwang; Myung Seok Lee; Sang Hoon Park
Journal:  Sci Rep       Date:  2019-10-10       Impact factor: 4.379

Review 9.  Fluid Biomarkers for Predicting the Prognosis of Liver Cirrhosis.

Authors:  Si-Hai Chen; Qin-Si Wan; Ting Wang; Kun-He Zhang
Journal:  Biomed Res Int       Date:  2020-03-20       Impact factor: 3.411

  9 in total

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