Accuracy of glomerular filtration rate estimation using creatinine and cystatin C for identifying and monitoring moderate chronic kidney disease: the eGFR-C study.
Lamb, Edmund J Barratt, Jonathan Brettell, Elizabeth A Cockwell, Paul Dalton, R Nei Deeks, Jon J Eaglestone, Gillian Pellatt-Higgins, Tracy Kalra, Philip A Khunti, Kamlesh
Lamb, Edmund J
Barratt, Jonathan
Brettell, Elizabeth A
Cockwell, Paul
Dalton, R Nei
Deeks, Jon J
Eaglestone, Gillian
Pellatt-Higgins, Tracy
Kalra, Philip A
Khunti, Kamlesh
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2024-07-28
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Abstract
A longitudinal, prospective study was designed to: (1) assess accuracy of glomerular filtration rate equations at baseline (n = 1167) and their ability to detect change over 3 years (n = 875); (2) model disease progression predictors in 278 individuals who received additional measurements; (3) quantify glomerular filtration rate variability components (n = 20); and (4) develop a measurement model analysis to compare different monitoring strategy costs (n = 875).
Citation
Lamb EJ, Barratt J, Brettell EA, Cockwell P, Dalton RN, Deeks JJ, Eaglestone G, Pellatt-Higgins T, Kalra PA, Khunti K, Loud FC, Ottridge RS, Potter A, Rowe C, Scandrett K, Sitch AJ, Stevens PE, Sharpe CC, Shinkins B, Smith A, Sutton AJ, Taal MW. Accuracy of glomerular filtration rate estimation using creatinine and cystatin C for identifying and monitoring moderate chronic kidney disease: the eGFR-C study. Health Technol Assess. 2024 Jul;28(35):1-169. doi: 10.3310/HYHN1078. PMID: 39056437; PMCID: PMC11331378.
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