Surrogate Markers of Subclinical Atherosclerosis and Its Associated Factors in Patients with β-Thalassemia Major.
Danesh SoltaniHossein FakhrzadehFarshad SharifiMohammad Jafar MahmoudiElham MahmoudiAli Vasheghani-FarahaniPublished in: Hemoglobin (2021)
β-Thalassemia major (β-TM) is a severe genetic hemoglobin (Hb) disorder with cardiovascular complications such as atherosclerosis due to transfusion-dependent iron overload. We aimed to determine the associated factors with surrogate markers of subclinical atherosclerosis in these patients. Sixty subjects with β-TM referred to the Thalassemia Clinic of the Iranian Blood Transfusion Organization (IBTO) were included in our study. The blood samples were collected for laboratory measurements. The carotid intima-media thickness (CIMT), was measured by ultrasonography, and ankle-brachial index (ABI) was calculated. The multivariate linear analysis was performed to determine the appropriate indicators of subclinical atherosclerosis in β-TM. There was no significant difference in baseline characteristics between the study groups. In multivariate linear analysis, age and systolic blood pressure (SBP) were negatively associated with inverse-transformed CIMT [unstandardized β coefficient (B): -0.024, 95% confidence interval (95% CI): -0.032- -0.010, p < 0.001; B: -0.009, 95% CI: -0.017- -0.001, p 0.031, respectively]. There was also a significant correlation between the serum level of high-density lipoprotein cholesterol (HDL-C) and insulin with higher ABI, after adjustment for confounding variables (B: 0.003; 95% CI: 0.000-0.005; p = 0.030, and B: 0.004, 95% CI: 0.000-0.009, p = 0.037, respectively). Our results show that advancing age and increased SBP, HDL-C and insulin, associated with higher CIMT or ABI, are appropriate indicators of subclinical atherosclerosis in β-TM patients.
Keyphrases
- blood pressure
- cardiovascular disease
- end stage renal disease
- newly diagnosed
- ejection fraction
- chronic kidney disease
- prognostic factors
- primary care
- heart failure
- magnetic resonance imaging
- sickle cell disease
- computed tomography
- glycemic control
- risk factors
- dna methylation
- magnetic resonance
- genome wide
- heart rate
- metabolic syndrome
- data analysis
- blood glucose
- optical coherence tomography
- cardiovascular risk factors