Literature DB >> 27779785

Development and validation of a mathematical equation to estimate glomerular filtration rate in cirrhosis: The royal free hospital cirrhosis glomerular filtration rate.

Maria Kalafateli1, Fred Wickham2, Maria Burniston2, Evangelos Cholongitas3, Eleni Theocharidou1, Matteo Garcovich1, James O'Beirne1, Rachel Westbrook1, Gioacchino Leandro4, Andrew K Burroughs1, Emmanuel A Tsochatzis1.   

Abstract

Current expressions based on serum creatinine concentration overestimate kidney function in cirrhosis, leading to significant differences between "true" and calculated glomerular filtration rate (GFR). We compared the performance of the four-variable and six-variable Modification of Diet in Renal Disease and chronic kidney disease epidemiology with "true," or measured, GFR (mGFR) and the impact of this difference on Model for End-Stage Liver Disease (MELD) calculation. We subsequently developed and validated a GFR equation specifically for cirrhosis and compared the performance of the new derived formula with existing GFR formulae. We included 469 consecutive patients who had a transplant assessment between 2011 and 2014. mGFR was measured using plasma isotope clearance according to a technique validated in patients with ascites. A corrected creatinine was derived from the mGFR after application of the Modification of Diet in Renal Disease formula. Subsequently, a corrected MELD was calculated and compared with the conventionally calculated MELD. Stepwise multiple linear regression was used to derive a GFR equation. This was compared with the mGFR in independent external and internal validation sets of 82 and 174 patients with cirrhosis, respectively. A difference >20 mL/minute/1.73 m2 between existing formulae and mGFR was observed in 226 (48.2%) patients. The corrected MELD score was ≥3 points higher in 177 (37.7%) patients. The predicted equation (r2 = 74.6%) was GFR = 45.9 × (creatinine-0·836 ) × (urea-0·229 ) × (international normalized ratio-0·113 ) × (age-0.129 [Corrected November 29, 2016: originally written as "age-129."]) × (sodium0·972 ) × 0.809 (if female) × 0.92 (if moderate/severe ascites). An online calculator is available at http://rfh-cirrhosis-gfr.ucl.ac.uk. The model was a good fit and showed the greatest accuracy compared to that of existing formulae.
CONCLUSION: We developed and validated a new accurate model for GFR assessment in cirrhosis, the Royal Free Hospital cirrhosis GFR, using readily available variables; this remains to be tested and incorporated in prognostic scores in patients with cirrhosis. (Hepatology 2017;65:582-591).
© 2016 by the American Association for the Study of Liver Diseases.

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Year:  2016        PMID: 27779785     DOI: 10.1002/hep.28891

Source DB:  PubMed          Journal:  Hepatology        ISSN: 0270-9139            Impact factor:   17.425


  12 in total

1.  Choosing an equation for glomerular filtration rate in decompensated cirrhosis: "Royal Free Hospital" formula is able to predict short-term mortality.

Authors:  Pedro Costa-Moreira; Rodrigo Liberal; Rui Gaspar; Patrícia Andrade; Rosa Coelho; Hélder Cardoso; Susana Lopes; Guilherme Macedo
Journal:  Int Urol Nephrol       Date:  2019-06-04       Impact factor: 2.370

Review 2.  New Developments in Hepatorenal Syndrome.

Authors:  Ayse L Mindikoglu; Stephen C Pappas
Journal:  Clin Gastroenterol Hepatol       Date:  2017-06-07       Impact factor: 11.382

3.  Improving the Model for End-Stage Liver Disease with sodium by incorporating kidney dysfunction types.

Authors:  Giuseppe Cullaro; Elizabeth C Verna; Charles E McCulloch; Jennifer C Lai
Journal:  Hepatology       Date:  2022-03-31       Impact factor: 17.298

4.  Race Adjustment in eGFR Equations Does Not Improve Estimation of Acute Kidney Injury Events in Patients with Cirrhosis.

Authors:  Nadim Mahmud; Sumeet K Asrani; Peter P Reese; David E Kaplan; Tamar H Taddei; Mitra K Nadim; Marina Serper
Journal:  Dig Dis Sci       Date:  2021-03-24       Impact factor: 3.199

5.  Development and Validation of a Model to Predict Long-Term Survival After Liver Transplantation.

Authors:  David Goldberg; Alejandro Mantero; Craig Newcomb; Cindy Delgado; Kimberly Forde; David Kaplan; Binu John; Nadine Nuchovich; Barbara Dominguez; Ezekiel Emanuel; Peter P Reese
Journal:  Liver Transpl       Date:  2021-06       Impact factor: 5.799

Review 6.  Global strategy for the diagnosis and management of acute kidney injury in patients with liver cirrhosis.

Authors:  Lukas Otero Sanchez; Claire Francoz
Journal:  United European Gastroenterol J       Date:  2021-02-16       Impact factor: 4.623

Review 7.  A Comprehensive Review of Outcome Predictors in Low MELD Patients.

Authors:  Nikhilesh R Mazumder; Kofi Atiemo; Matthew Kappus; Giuseppe Cullaro; Matthew E Harinstein; Daniela Ladner; Elizabeth Verna; Jennifer Lai; Josh Levitsky
Journal:  Transplantation       Date:  2020-02       Impact factor: 5.385

8.  Baseline urine metabolic phenotype in patients with severe alcoholic hepatitis and its association with outcome.

Authors:  Jaswinder Singh Maras; Sukanta Das; Shvetank Sharma; Saggere M Shasthry; Benoit Colsch; Christophe Junot; Richard Moreau; Shiv Kumar Sarin
Journal:  Hepatol Commun       Date:  2018-04-16

9.  Noradrenaline for reverting hepatorenal syndrome: a prospective, observational, single-center study.

Authors:  Kamesh Gupta; Pooja Rani; Anurag Rohatgi; Mukesh Verma; Shivani Handa; Keemi Dalal; Anand Jain
Journal:  Clin Exp Gastroenterol       Date:  2018-09-18

Review 10.  Assessment of kidney function: clinical indications for measured GFR.

Authors:  Natalie Ebert; Sebastjan Bevc; Arend Bökenkamp; Francois Gaillard; Mads Hornum; Kitty J Jager; Christophe Mariat; Bjørn Odvar Eriksen; Runolfur Palsson; Andrew D Rule; Marco van Londen; Christine White; Elke Schaeffner
Journal:  Clin Kidney J       Date:  2021-02-22
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