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Assessment of Vascular Function in Patients With Chronic Kidney Disease
Published on: June 16, 2014
Fatty acid-binding protein-3 and renal function decline in patients with chronic coronary syndrome
Jiunn-Tyng Yeh1,2, Chin-Chou Huang1,3,4,5, Hsin-Bang Leu3,5,6
1School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Background:
Renal dysfunction is common in patients with coronary artery disease. Due to the shared vascular pathogenesis between the two conditions, novel biomarkers such as the fatty acid-binding protein-3 (FABP-3) have been proposed for diagnosis and prognosis prediction. This multicentre prospective cohort study investigates the association between FABP-3 and renal dysfunction.
Hypothesis:
We hypothesized that higher FABP-3 levels are correlated to worse renal outcome.
Methods:
Patients with chronic coronary syndrome were classified into three groups based on the initial serum FABP-3 levels. The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation was used to estimate the patient's renal function. Renal events were defined as >25% and >50% decline in estimated glomerular filtration rate (eGFR). Cox multivariable regression was employed to delineate the correlation between FABP-3 and renal dysfunction.
Results:
A total of 1606 subjects were included. During a mean follow-up of 35.9 months, there were 239 patients with eGFR >25% reduction and 60 patients with >50% reduction. In the Kaplan-Meier survival curve and log-rank test, increased levels of FABP-3 were significantly correlated with eGFR >25% reduction (p < .001) and >50% reduction (p < .001). Multivariate Cox regression model revealed that subjects with higher FABP-3 exhibited a greater risk of eGFR >25% reduction (Group 2: hazard ratio [HR] = 2.328, 95% confidence interval [CI] = 1.521-3.562, p < .001; Group 3: HR = 3.054, 95% CI = 1.952-4.776, p < .001) and >50% reduction (Group 3: HR = 4.838, 95% CI = 1.722-13.591, p = .003).
Conclusions:
Serum FABP-3 may serve as a novel biomarker to predict eGFR decline in patients with chronic coronary syndrome.
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