ABSTRACT
One of the causes of hypertension is excess weight gain, which can also affect the course of this disease. Both the diagnosis and management of hypertension commonly use ambulatory blood pressure monitoring; the results of which correlate more strongly with cardiovascular diseases and cardiovascular death than office blood pressure monitoring. We evaluated blood pressure values and their variability from hour to hour to see if and when they differed between hypertensive patients with and without obesity. The study included 1345 patients who underwent 24 h ambulatory blood pressure monitoring and then were divided into groups according to body mass index and waist circumference. The obtained data were analyzed according to the subjects' wake-up time, and short-term blood pressure variability parameters were calculated as the mean of the absolute values of the differences between consecutive measurements. The systolic blood pressure in obese subjects was significantly higher between 1 and 5 h before waking than in normal-weighted individuals. In turn, the variability in systolic and diastolic blood pressure was higher with increasing body mass index. The difference in systolic blood pressure values and blood pressure variability was most prominent in the last 5 h of sleep in obese patients.
ABSTRACT
Several studies showed the role of trace elements in the increase in human susceptibility to cardiovascular diseases. Carotid artery stenosis is a leading cause of ischemic neurological events. We aimed to analyze the potential role of trace elements in hair as biomarkers of atherosclerotic carotid artery disease. Materials and Methods: Fifty-seven (n = 31 (54%) men and n = 26 (46%) women) individuals with a mean age of 67.7 ± 7.7 years who were white, European, non-Hispanic, and non-Latino were diagnosed and treated in hypertensiology/internal medicine and surgical departments over three consecutive months. Of these patients, forty were diagnosed with advanced carotid artery disease, and seventeen comprised a group of healthy controls. Inflammatory and oncological diseases were exclusion criteria. Hair samples were collected, and 14 trace elements were analyzed. Clinical and laboratory data were compared and revealed differences in the co-existence of diabetes (p = 0.036) and smoking history (p = 0.041). In the multivariable analysis, zinc, chrome, and copper revealed predictive value for the occurrence of carotid artery disease, and their combined receiver operating curve showed area under the curve of 0.935, with a sensitivity of 95% and a specificity of 82.4%. Conclusion: Our report shows the significance of trace elements analyses in patients with advanced carotid artery disease. We revealed that zinc, copper, and chrome concentrations are of particular importance in differentiating atherosclerotic disease and may serve as biomarkers of carotid atherosclerosis. Hair samples represent an easily obtained and beneficial biomatrix for the assessment of biomarkers.
