Abstract: FR-PO428
Predictors of Net Acid Excretion in the Chronic Renal Insufficiency Cohort (CRIC) Study
Session Information
- CKD: Risk Factors for Incidence and Progression - II
November 03, 2017 | Location: Hall H, Morial Convention Center
Abstract Time: 10:00 AM - 10:00 AM
Category: Chronic Kidney Disease (Non-Dialysis)
- 301 CKD: Risk Factors for Incidence and Progression
Authors
- Brown, Landon C., Duke University School of Medicine, Durham, North Carolina, United States
- Luciano, Alison, Duke University School of Medicine, Durham, North Carolina, United States
- Pendergast, Jane F., Duke University School of Medicine, Durham, North Carolina, United States
- Khairallah, Pascale, Duke University School of Medicine, Durham, North Carolina, United States
- Anderson, Cheryl A., University of California San Diego, La Jolla, California, United States
- Sondheimer, James H., Wayne State University School of Medicine, Detroit, Michigan, United States
- Hamm, L. Lee, Tulane University School of Medicine, New Orleans, Louisiana, United States
- Ricardo, Ana C., University of Illinois at Chicago, Chicago, Illinois, United States
- Rao, Panduranga S., University of Michigan Health System, Ann Arbor, Michigan, United States
- Rahman, Mahboob, Case Western Reserve University, Cleveland, Ohio, United States
- Miller, Edgar R., Johns Hopkins University, Baltimore, Maryland, United States
- Sha, Daohang, University of Pennsylvania, Philadelphia, Pennsylvania, United States
- Xie, Dawei, University of Pennsylvania, Philadelphia, Pennsylvania, United States
- Asplin, John R., Litholink Corp, Chicago, Illinois, United States
- Feldman, Harold I., University of Pennsylvania, Philadelphia, Pennsylvania, United States
- Wolf, Myles S., Duke University School of Medicine, Durham, North Carolina, United States
- Scialla, Julia J., Duke University School of Medicine, Durham, North Carolina, United States
Background
In prior work, higher urine net acid excretion (NAE) was associated with lower risk of chronic kidney disease (CKD) progression in patients with diabetes. In order to (1) evaluate potential mechanisms underlying associations between NAE and outcomes, and (2) assess modifiable components for future intervention, we now evaluate independent predictors of NAE in the CRIC Study.
Methods
CRIC is a cohort of adults with entry estimated glomerular filtration rate (eGFR) of 20-70 ml/min/1.73 m2. 24h NAE was measured as the sum of urine NH4+ and titratable acidity in a subset, excluding those with urine pH <4 or ≥7.4 (n=20) and 2 extreme outliers (final n=978). We identified individual variables and sets of variables associated with NAE across the domains of demographics, comorbidities, laboratory measurements, diet, body composition, and medications using linear regression and domain-specific model adjusted R2.
Results
Mean ± SD of NAE was 33.2 ± 17.4 mEq/day and was higher among those with diabetes (n=496) vs. without diabetes (n=482, 34.4 ± 18.7 vs. 31.9 ± 15.9 mEq/day; p=0.02). Multiple variables associated with NAE in models adjusted for age, sex, eGFR, race/ethnicity, and body surface area (Table). By domains, most variance was explained by demographics, body composition, and laboratory values including kidney function and serum bicarbonate. Among medications, several metabolically active agents including biguanides and allopurinol associated with NAE.
Conclusion
NAE relates to body composition and metabolic factors in addition to diet. This result may help explain previously observed associations between NAE and kidney outcomes in diabetes.
Funding
- NIDDK Support