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Assessment of Vascular Function in Patients With Chronic Kidney Disease
Published on: June 16, 2014
Relation of multi-marker panel to incident chronic kidney disease and rapid kidney function decline in African
Stanford E Mwasongwe1, Bessie Young2,3, Aurelian Bidulescu4
1Jackson Heart Study, Jackson State University, 350 W. Woodrow Wilson Ave., Suite 701, Jackson, MS, 39213, USA. smwasongwe@umc.edu.
Insights
A multi-marker panel showed moderate predictive improvement for kidney disease risk in African Americans. This panel, including biomarkers like adiponectin and hsCRP, aids in predicting chronic kidney disease (CKD) and rapid kidney function decline (RKFD).
Area of Science:
- Nephrology
- Cardiovascular Research
- Biomarker Discovery
Background:
- Limited research exists on using multiple biomarkers for predicting renal outcomes in African Americans.
- This study investigates the utility of a multi-marker panel in assessing kidney disease risk within this population.
Purpose of the Study:
- To evaluate the incremental usefulness of a multi-marker panel for predicting incident chronic kidney disease (CKD) and rapid kidney function decline (RKFD).
- To identify specific biomarkers that contribute to predicting renal outcomes in African Americans.
Main Methods:
- The Jackson Heart Study cohort, comprising 2813 participants without prevalent CKD, was analyzed.
- Nine biomarkers (adiponectin, aldosterone, BNP, cortisol, hsCRP, endothelin, homocysteine, plasma renin activity and mass) were measured.
- Multiple logistic regression and backward elimination were used to model associations between biomarkers and renal outcomes (CKD and RKFD).
Main Results:
- The multi-marker panel significantly predicted both incident CKD and RKFD.
- Plasma adiponectin and leptin were associated with incident CKD, while adiponectin, hsCRP, and aldosterone were linked to RKFD.
- Biomarkers demonstrated a moderate improvement in predicting CKD risk but not RKFD risk compared to conventional factors.
Conclusions:
- A multi-marker panel offers moderate predictive improvement for renal outcomes in African Americans.
- Specific biomarkers like adiponectin, leptin, hsCRP, and aldosterone play a role in predicting CKD and RKFD.
- Further research may refine multi-marker panels for enhanced kidney disease risk prediction in diverse populations.
Background:
Few investigations have evaluated the incremental usefulness of multiple biomarkers representing varying physiological pathways for predicting risk of renal outcomes in African Americans.
Design, Setting, Participants, And Measurements:
We related a multi-marker panel to incident chronic kidney disease (CKD) and rapid kidney function decline (RKFD) in 2813 Jackson Heart Study participants without prevalent CKD at exam 1 (2000-2004) and with complete assays at exam 1 for 9 biomarkers: adiponectin, aldosterone, B-natriuretic peptide [BNP], cortisol, high sensitivity C-reactive protein (hsCRP), endothelin, homocysteine, plasma renin activity and mass. Incident CKD was defined as estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2 at exam 3 while RKFD was defined as eGFR ≥30% loss between exams 1 and 3 (8.2 median years). We employed multiple logistic regression model to describe association between the panel and incident CKD and RKFD and used backward elimination strategy to estimate the most parsimonious biomarker model while controlling for conventional risk factors.
Results:
The multi-marker panel predicted the risk for both incident CKD (odds ratios [OR], 2.72; 95% confidence intervals [CI], 1.63, 4.56; P = 0.001) and RKFD (2.61; 95% CI, 1.67, 4.08; P < 0.001). Per standard deviation increase in log biomarker concentrations were significantly (multivariable adjusted odds ratios, [95% confidence interval], p-value) associated with incident CKD: plasma adiponectin (1.24 [1.07, 1.44], p = 0.005) and leptin (1.3 [1.06, 1.61], p = 0.011), and with RKFD: plasma adiponectin (1.22 [1.06, 1.40], p = 0.006); hsCRP (1.17 [1.01, 1.36], p = 0.031) and aldosterone (0.85 [0.74, 0.96], p = 0.012). Moderate levels (3rd quartile) of aldosterone were inversely associated with incident CKD (0.54 [0.35, 0.82], p = 0.004) while leptin was associated with RKFD (1.64 [1.10, 2.44], p = 0.015). Biomarkers improved CKD risk prediction (P = 0.003) but not RKFD risk prediction (P = 0.10).
Conclusion:
In this community-based sample of African Americans, a multi-marker panel added only moderate predictive improvement compared to conventional risk factors.
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