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AFRICAN RESEARCH NEXUS

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medicine

Association between Plasma Dehydroepiandrosterone Sulfate and Carotid Intima-Media Thickness among Male and Female Patients with End-Stage Renal Disease on Hemodialysis

CardioRenal Medicine, Volume 10, No. 1, Year 2020

Background and Aim: Serum dehydroepiandrosterone sulfate (DHEA-S) is known to be lower in chronic kidney disease (CKD) patients and in those with cardiac disease, and correlates with a poor cardiovascular outcome. This study aimed to assess the correlation between DHEA-S and carotid intima-media thickness (CIMT) as a predictor of cardiovascular disease in hemodialysis (HD) patients. Methods: A total of 88 HD patients were included in this cross-sectional study. They included 53 male (group I) and 35 female patients (group II). In addition to conventional history taking, clinical examination, and routine laboratory investigations, serum DHEA-S and CIMT were measured for all patients. CIMT was measured using B-mode ultrasonography, and the mean of maximum CIMT was recorded. The 2 patient groups were further classified according to the level of DHEA-S. The correlation between serum DHEA-S and CIMT was studied. Results: In male patients, CIMT and age were significantly higher in the group with low DHEA-S level (p = 0.003 and 0.001, respectively), while there was no significant difference in both parameters in females. A higher percentage of HCV-positive patients is present in the male group with low DHEA-S level (p = 0.009). Serum DHEA-S is significantly negatively correlated with CIMT in males (p = 0.003) but not in females, and has a significant negative correlation to age in both genders (p = 0.001 and 0.04, respectively). Conclusion: Endocrinal disturbance representing as lower serum DHEA-S is associated with increased CIMT, which is considered a predictor of cardiovascular disease in male HD patients, although it is largely explained by advancing age.
Statistics
Citations: 10
Authors: 10
Affiliations: 2
Identifiers
Research Areas
Health System And Policy
Noncommunicable Diseases
Study Design
Cross Sectional Study
Study Approach
Quantitative
Participants Gender
Male
Female