Literature DB >> 23275574

Accuracy of cystatin C-based estimates of glomerular filtration rate in kidney transplant recipients: a systematic review.

Gavin Harman1, Ayub Akbari, Swapnil Hiremath, Christine A White, Tim Ramsay, Madzouka B Kokolo, Jeffery Craig, Greg A Knoll.   

Abstract

BACKGROUND: As with creatinine, cystatin C can be incorporated into a formula to estimate the glomerular filtration rate (GFR). The overall performance of cystatin C-based equations in kidney transplantation is unclear with conflicting results between studies.
METHODS: Systematic review of adult kidney transplant recipients. Studies that reported mean bias (mean difference between the measured and estimated GFRs) or accuracy of the cystatin C-based GFR estimation equation (e.g. percentage of estimates within 30% of the measured GFR) against the measured GFR using renal or plasma clearance of contrast agents, radioisotopes or inulin were included.
RESULTS: The search identified 10 studies that examined 14 different cystatin C-based estimating equations (n = 5 equations evaluated in more than one study). The Le Bricon equation had the best performance with a bias that ranged from -6.4 to +2.8 mL/min/1.73 m(2); 85% (95% CI, 82-88) of estimates were within 30% of the measured GFR. For the other equations, 66-82% of estimates were within 30% of the measured GFR. For the modification of diet in renal disease (MDRD) equation, 68% (95% CI, 65-72) of estimates were within 30% of the measured GFR.
CONCLUSIONS: The cystatin C-based Le Bricon equation was the most accurate, and most of the cystatin C-based equations showed improvements in 30% and 50% accuracy compared with the creatinine-based MDRD equation. Cystatin C-based equations may offer an advantage over the MDRD equation in kidney transplant recipients. Estimating equations re-expressed with standardized cystatin C have been developed and their accuracy needs to be tested in the kidney transplant population.

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Year:  2012        PMID: 23275574     DOI: 10.1093/ndt/gfs498

Source DB:  PubMed          Journal:  Nephrol Dial Transplant        ISSN: 0931-0509            Impact factor:   5.992


  14 in total

Review 1.  The applicability of eGFR equations to different populations.

Authors:  Pierre Delanaye; Christophe Mariat
Journal:  Nat Rev Nephrol       Date:  2013-07-16       Impact factor: 28.314

Review 2.  Estimating glomerular filtration rate in kidney transplantation: Still searching for the best marker.

Authors:  Josefina Santos; La Salete Martins
Journal:  World J Nephrol       Date:  2015-07-06

3.  Urine biomarkers in renal allograft.

Authors:  Hongting Wang; Zuan-Tao Lin; Yulin Yuan; Tianfu Wu
Journal:  J Transl Int Med       Date:  2016-09-23

4.  Accuracy of cystatin C for the detection of abnormal renal function in children undergoing chemotherapy for malignancy: a systematic review using individual patient data.

Authors:  Penny Whiting; Kate Birnie; Jonathan A C Sterne; Catherine Jameson; Rod Skinner; Bob Phillips
Journal:  Support Care Cancer       Date:  2017-12-06       Impact factor: 3.603

5.  Cystatin C and serum creatinine as predictors of kidney graft outcome.

Authors:  Visnja Lezaic; Marijana Dajak; Dragana Radivojevic; Stojanka Ristic; Jelena Marinkovic
Journal:  Int Urol Nephrol       Date:  2013-12-14       Impact factor: 2.370

6.  Accuracy of different equations in estimating GFR in pediatric kidney transplant recipients.

Authors:  Vandréa de Souza; Pierre Cochat; Muriel Rabilloud; Luciano Selistre; Mario Wagner; Aoumeur Hadj-Aissa; Olga Dolomanova; Bruno Ranchin; Jean Iwaz; Laurence Dubourg
Journal:  Clin J Am Soc Nephrol       Date:  2015-01-23       Impact factor: 8.237

Review 7.  Renal dysfunction in acute congestive heart failure: a common problem for cardiologists and nephrologists.

Authors:  Giorgio Graziani; Daniela Pini; Silvia Oldani; David Cucchiari; Manuel Alfredo Podestà; Salvatore Badalamenti
Journal:  Heart Fail Rev       Date:  2014-11       Impact factor: 4.214

8.  Creatinine-Based and Cystatin C-Based GFR Estimating Equations and Their Non-GFR Determinants in Kidney Transplant Recipients.

Authors:  Mira T Keddis; Hatem Amer; Nikolay Voskoboev; Walter K Kremers; Andrew D Rule; John C Lieske
Journal:  Clin J Am Soc Nephrol       Date:  2016-06-23       Impact factor: 8.237

Review 9.  The acute cardiorenal syndrome type I: considerations on physiology, epidemiology, and therapy.

Authors:  Ali A Valika; Maria Rosa Costanzo
Journal:  Curr Heart Fail Rep       Date:  2014-12

10.  Validation of the CKiD formulae to estimate GFR in children post renal transplant.

Authors:  Khurrum Siddique; David Leonard; Leisa Borders; Mouin G Seikaly
Journal:  Pediatr Nephrol       Date:  2013-11-26       Impact factor: 3.714

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