Kidney Week

Abstract: SA-PO189

Body Fat Mass Is Predictive of Coronary Artery Calcification in Non-Dialysis CKD Patients: A Cross-Sectional Study

Session Information

• Nutrition, Inflammation, Metabolism: Clinical Trials, Biomarkers, Epidemiology
  November 04, 2017 | Location: Hall H, Morial Convention Center
  Abstract Time: 10:00 AM - 10:00 AM

Category: Nutrition, Inflammation, and Metabolism

• 1401 Nutrition, Inflammation, Metabolism

Authors

• Mafra, Denise, Federal Fluminense University, Niteroi / Rj, Brazil

Denise Mafra,

• Da silva, Greicielle Santos, Federal Fluminense University, Niteroi / Rj, Brazil

Greicielle Santos Da silva,

• Jardim, Mariana Zogbi, Federal Fluminense University, Niteroi / Rj, Brazil

Mariana Zogbi Jardim,

• Anjos, Juliana Saraiva, Federal Fluminense University, Niteroi / Rj, Brazil

Juliana Saraiva Anjos,

• Dreux, Ana paula Black, Federal Fluminense University, Niteroi / Rj, Brazil

Ana paula Black Dreux,

• Neves, Daniel Gama, Federal Fluminense University, Niteroi / Rj, Brazil

Daniel Gama Neves,

• Borges, Natalia Alvarenga, Federal Fluminense University, Niteroi / Rj, Brazil

Natalia Alvarenga Borges,

• Stockler-Pinto, Milena Barcza, Federal Fluminense University, Niteroi / Rj, Brazil

Milena Barcza Stockler-Pinto,

• Nacif, Marcelo, Federal Fluminense University, Niteroi / Rj, Brazil

Marcelo Nacif,

Background

The most common cardiovascular disease (CVD) is coronary artery disease (CAD), which is an important cause of death in patients with chronic kidney disease (CKD). Several CVD risk factors are present in these patients since the early CKD stages, including obesity that is the cause of a variety of metabolic disorders which can increase the risk of CVD in CKD patients. The aim of this study was to evaluate the presence of atherosclerosis and possible association with body composition in non-dialysis CKD patients.

Methods

Twenty-eight patients [53.6% of men, 59.0 ± 13.4 years, creatinine clearance of 32.3 ± 16.6 mL/min, Body Mass Index (BMI) 26.6 ± 5.2kg/m²] were evaluated in this cross-sectional study. Coronary atherosclerosis was assessed by coronary artery calcium (CAC) scoring done with non-contrast computed tomography. CAC scores as 0 Agatston units was classified without risk, and higher than 100 Agatston were considered representative of significant atherosclerotic disease. Routine biochemical tests, such as lipid profile and C-reactive protein (CRP), were evaluated using standard laboratory methods. Nutritional status was evaluated by BMI, % body fat and waist circumference.

Results

The median of calcium score was 323.7 (125.4- 700) Agatston, 18 patients had no risk for atherosclerosis (calcium score = 0), and 10 patients had risk for atherosclerosis (Ca Score > 100). The median of number of atherosclerosis lesions was 14 (9.2-44). There was correlation between Ca score and BMI (r= 0.37; p= 0.047), % fat body (r= 0.43; p= 0.03) and waist circumference (r= 0.53; p= 0.003). Multivariable logistic regression analysis revealed that % body fat mass and waist circumference were predictors for atherosclerosis risk, regardless of age, creatinine clearance, BMI, sex and CRP (R²adjusted model = 0.76).

Conclusion

The present study suggests that non-dialysis CKD patients with high body fat mass showed the highest risk for CAC. In this sense, more longitudinal studies are required to confirm this association.

Funding

• Government Support - Non-U.S.