Dov A Degen1, Jyotsna Janardan2, Katherine A Barraclough2, Hans G Schneider3, Thomas Barber4, Howard Barton5, Gregory Snell6, Bronwyn Levvey6, Rowan G Walker7. 1. Department of Nephrology, Alfred Health, Melbourne, Australia. Electronic address: dovdegen@optusnet.com.au. 2. Department of Nephrology, Alfred Health, Melbourne, Australia. 3. Alfred Pathology Service, Alfred Health, Melbourne, Australia; Central Clinical School, Monash University, Melbourne, Australia. 4. Department of Nuclear Medicine & PET Centre, Alfred Health, Melbourne, Australia; Department of Medicine, Monash University, Melbourne, Australia. 5. Department of Nuclear Medicine & PET Centre, Alfred Health, Melbourne, Australia. 6. Central Clinical School, Monash University, Melbourne, Australia; Lung Transplant Service, Alfred Health, Melbourne, Australia. 7. Department of Nephrology, Alfred Health, Melbourne, Australia; Central Clinical School, Monash University, Melbourne, Australia.
Abstract
BACKGROUND: There has been limited examination of the performance of glomerular filtration rate estimation (eGFR) equations in lung transplant populations. This study aimed to compare the performance of serum creatinine and cystatin C based eGFR equations with Tc-99m diethylenetriaminepentaacetic acid (DTPA) GFR measurements in individuals with end-stage lung disease, either prior to, or following, lung transplantation. METHODS: In this prospective observational study, participants underwent GFR measurements with Tc-99m Pentetate. Measured results were compared with GFR estimates derived from estimation equations [4-variable Modification of Diet in Renal Disease, Cockcroft-Gault, Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine, cystatin C and creatinine-cystatin C combined equations]. RESULTS: Ninety-seven individuals were studied (77 post- and 20 wait-listed for transplantation). Median (range) radionucleotide GFR was 56.7ml/min/1.73m2 (22.8-109.2ml/min/1.73m2). In the study cohort as a whole, the CKD-EPI creatinine-cystatin C combined equation showed the highest performance, but was only slightly superior to the CKD-EPI creatinine equation. However, in individuals with cystic fibrosis, low arm muscle mass and/or low body mass index, all of the creatinine-based equations showed unacceptable performance. In these subgroups, improved GFR estimation was seen with the CKD-EPI cystatin C equation, and predictions were better still using the CKD-EPI creatinine-cystatin C combined equation. CONCLUSIONS: This study shows adequate predictive ability of CKD-EPI creatinine in the cohort as a whole, but unacceptable performance in patients with cystic fibrosis, low arm muscle mass and/or low body mass index. Our findings demonstrate that cystatin C may be a preferable filtration marker in these subgroups.
BACKGROUND: There has been limited examination of the performance of glomerular filtration rate estimation (eGFR) equations in lung transplant populations. This study aimed to compare the performance of serum creatinine and cystatin C based eGFR equations with Tc-99m diethylenetriaminepentaacetic acid (DTPA) GFR measurements in individuals with end-stage lung disease, either prior to, or following, lung transplantation. METHODS: In this prospective observational study, participants underwent GFR measurements with Tc-99m Pentetate. Measured results were compared with GFR estimates derived from estimation equations [4-variable Modification of Diet in Renal Disease, Cockcroft-Gault, Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine, cystatin C and creatinine-cystatin C combined equations]. RESULTS: Ninety-seven individuals were studied (77 post- and 20 wait-listed for transplantation). Median (range) radionucleotide GFR was 56.7ml/min/1.73m2 (22.8-109.2ml/min/1.73m2). In the study cohort as a whole, the CKD-EPI creatinine-cystatin C combined equation showed the highest performance, but was only slightly superior to the CKD-EPI creatinine equation. However, in individuals with cystic fibrosis, low arm muscle mass and/or low body mass index, all of the creatinine-based equations showed unacceptable performance. In these subgroups, improved GFR estimation was seen with the CKD-EPI cystatin C equation, and predictions were better still using the CKD-EPI creatinine-cystatin C combined equation. CONCLUSIONS: This study shows adequate predictive ability of CKD-EPI creatinine in the cohort as a whole, but unacceptable performance in patients with cystic fibrosis, low arm muscle mass and/or low body mass index. Our findings demonstrate that cystatin C may be a preferable filtration marker in these subgroups.
Authors: Lorriana E Leard; Are M Holm; Maryam Valapour; Allan R Glanville; Sandeep Attawar; Meghan Aversa; Silvia V Campos; Lillian M Christon; Marcelo Cypel; Göran Dellgren; Matthew G Hartwig; Siddhartha G Kapnadak; Nicholas A Kolaitis; Robert M Kotloff; Caroline M Patterson; Oksana A Shlobin; Patrick J Smith; Amparo Solé; Melinda Solomon; David Weill; Marlies S Wijsenbeek; Brigitte W M Willemse; Selim M Arcasoy; Kathleen J Ramos Journal: J Heart Lung Transplant Date: 2021-07-24 Impact factor: 13.569
Authors: Silvia Lai; Sandro Mazzaferro; Anna Paola Mitterhofer; Enea Bonci; Paolo Giangreco Marotta; Francesco Pelligra; Manuel Murciano; Camilla Celani; Patrizia Troiani; Giuseppe Cimino; Paolo Palange Journal: J Transl Med Date: 2019-11-25 Impact factor: 5.531
Authors: Jens Gottlieb; Alexander Reuss; Konstantin Mayer; Karin Weide; Carmen Schade-Brittinger; Susanne Hoyer; Peter Jaksch Journal: Trials Date: 2021-01-11 Impact factor: 2.279