Anand Srivastava1, Xuan Cai2, Jungwha Lee2, Wei Li3, Brett Larive4, Cynthia Kendrick4, Jennifer J Gassman4, John P Middleton5, James Carr6, Kalani L Raphael7,8, Alfred K Cheung7,8, Dominic S Raj9, Michel B Chonchol10, Linda F Fried11,12, Geoffrey A Block13, Stuart M Sprague14, Myles Wolf5, Joachim H Ix15, Pottumarthi V Prasad3, Tamara Isakova2. 1. Division of Nephrology and Hypertension, Center for Translational Metabolism and Health, Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois anand.srivastava@northwestern.edu. 2. Division of Nephrology and Hypertension, Center for Translational Metabolism and Health, Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois. 3. Department of Radiology, NorthShore University HealthSystem, Evanston, Illinois. 4. Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio. 5. Department of Medicine, Division of Nephrology, Duke University School of Medicine, Durham, North Carolina. 6. Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois. 7. Division of Nephrology and Hypertension, University of Utah Health, Salt Lake City, Utah. 8. Salt Lake City Veterans Affairs Healthcare System, Salt Lake City, Utah. 9. Division of Renal Diseases and Hypertension, George Washington University School of Medicine and Health Sciences, Washington, DC. 10. Department of Medicine, Division of Renal Diseases and Hypertension, University of Colorado Anschutz Medical Campus, Aurora, Colorado. 11. Division of Nephrology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania. 12. Renal Section, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania. 13. Reata Pharmaceuticals, Dallas, Texas. 14. Department of Medicine, NorthShore University HealthSystem, Evanston, Illinois. 15. Department of Medicine, Renal Section, University of San Diego, Veterans Affairs San Diego Healthcare System, San Diego, California.
Abstract
BACKGROUND AND OBJECTIVES:Kidney functional magnetic resonance imaging (MRI) requires further investigation to enhance the noninvasive identification of patients at high risk of CKD progression. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: In this exploratory study, we obtained baseline diffusion-weighted and blood oxygen level-dependent MRI in 122 participants of the CKD Optimal Management with Binders and Nicotinamide trial, which was a multicenter, randomized, double-blinded, 12-month, four-group parallel trial of nicotinamide and lanthanum carbonate versus placeboconducted in individuals with eGFR 20-45 ml/min per 1.73 m2. Lower values of apparent diffusion coefficient (ADC) on diffusion-weighted MRI may indicate increased fibrosis, and higher values of relaxation rate (R2*) on blood oxygen level-dependent MRI may represent decreased oxygenation. Because there was no effect of active treatment on eGFR over 12 months, we tested whether baseline kidney functional MRI biomarkers were associated with eGFR decline in all 122 participants. In a subset of 87 participants with 12-month follow-up MRI data, we evaluated whether kidney functional MRI biomarkers change over time. RESULTS:Mean baseline eGFR was 32±9 ml/min per 1.73 m2, and mean annual eGFR slope was -2.3 (95% confidence interval [95% CI], -3.4 to -1.1) ml/min per 1.73 m2 per year. After adjustment for baseline covariates, baseline ADC was associated with change in eGFR over time (difference in annual eGFR slope per 1 SD increase in ADC: 1.3 [95% CI, 0.1 to 2.5] ml/min per 1.73 m2 per year, ADC×time interaction P=0.04). This association was no longer significant after further adjustment for albuminuria (difference in annual eGFR slope per 1 SD increase in ADC: 1.0 (95% CI, -0.1 to 2.2) ml/min per 1.73 m2 per year, ADC×time interaction P=0.08). There was no significant association between baseline R2* and change in eGFR over time. In 87 participants with follow-up functional MRI, ADC and R2* values remained stable over 12 months (intraclass correlation: 0.71 and 0.68, respectively). CONCLUSIONS: Baseline cortical ADC was associated with change in eGFR over time, but this association was not independent of albuminuria. Kidney functional MRI biomarkers remained stable over 1 year. CLINICAL TRIAL REGISTRY NAME AND REGISTRATION NUMBER: CKD Optimal Management with Binders and Nicotinamide (COMBINE), NCT02258074.
RCT Entities:
BACKGROUND AND OBJECTIVES: Kidney functional magnetic resonance imaging (MRI) requires further investigation to enhance the noninvasive identification of patients at high risk of CKD progression. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: In this exploratory study, we obtained baseline diffusion-weighted and blood oxygen level-dependent MRI in 122 participants of the CKD Optimal Management with Binders and Nicotinamide trial, which was a multicenter, randomized, double-blinded, 12-month, four-group parallel trial of nicotinamide and lanthanum carbonate versus placebo conducted in individuals with eGFR 20-45 ml/min per 1.73 m2. Lower values of apparent diffusion coefficient (ADC) on diffusion-weighted MRI may indicate increased fibrosis, and higher values of relaxation rate (R2*) on blood oxygen level-dependent MRI may represent decreased oxygenation. Because there was no effect of active treatment on eGFR over 12 months, we tested whether baseline kidney functional MRI biomarkers were associated with eGFR decline in all 122 participants. In a subset of 87 participants with 12-month follow-up MRI data, we evaluated whether kidney functional MRI biomarkers change over time. RESULTS: Mean baseline eGFR was 32±9 ml/min per 1.73 m2, and mean annual eGFR slope was -2.3 (95% confidence interval [95% CI], -3.4 to -1.1) ml/min per 1.73 m2 per year. After adjustment for baseline covariates, baseline ADC was associated with change in eGFR over time (difference in annual eGFR slope per 1 SD increase in ADC: 1.3 [95% CI, 0.1 to 2.5] ml/min per 1.73 m2 per year, ADC×time interaction P=0.04). This association was no longer significant after further adjustment for albuminuria (difference in annual eGFR slope per 1 SD increase in ADC: 1.0 (95% CI, -0.1 to 2.2) ml/min per 1.73 m2 per year, ADC×time interaction P=0.08). There was no significant association between baseline R2* and change in eGFR over time. In 87 participants with follow-up functional MRI, ADC and R2* values remained stable over 12 months (intraclass correlation: 0.71 and 0.68, respectively). CONCLUSIONS: Baseline cortical ADC was associated with change in eGFR over time, but this association was not independent of albuminuria. Kidney functional MRI biomarkers remained stable over 1 year. CLINICAL TRIAL REGISTRY NAME AND REGISTRATION NUMBER: CKD Optimal Management with Binders and Nicotinamide (COMBINE), NCT02258074.
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