RÉSUMÉ
Background: Hypertension stands as a widely recognized significant risk factor for cardiovascular disease. In clinical practice, it is advisable to measure blood pressure (BP) in both arms. The increasing attention on inter-arm blood pressure difference (IABPD) stems from its association with cardiovascular disease. This study aimed to assess the relationship between inter-arm blood pressure differences and predicted future cardiovascular risk in hypertensive patients. Methods: This cross-sectional study was conducted at the department of cardiology, Chittagong Medical College Hospital from July 2020 to June 2021. The study included 428 cases of previously or newly diagnosed hypertension, selected through convenient sampling. Data analysis was conducted using Microsoft Office tools and statistical package for the social sciences (SPSS) version 23.0. Results: In this study, 8.2% of patients exhibited noteworthy systolic IAD, and 2.3% demonstrated notable diastolic IAD. Median 10-year cardiovascular risk, assessed by Framingham and ASCVD calculators, was 21% and 11% respectively. A positive correlation was observed between sIAD and 10-year cardiovascular risk (p=0.003) and sIAD and 10-year ASCVD risk (p=0.041). Patients with significant sIAD had a higher incidence of ischemic heart disease compared to those without (p=0.041). Multiple regression analysis revealed a significant correlation between 10-year Framingham cardiovascular risk and sIAD (p=0.003). Conclusions: A significant difference in systolic blood pressure between arms is linked to a higher 10-year cardiovascular risk and the presence of cardiovascular disease in well-managed hypertensive patients. So, monitoring sIAD could be an additional factor in predicting future cardiovascular events in patients receiving hypertension treatment.
RÉSUMÉ
Background: Coronary artery disease (CAD) is a major global health issue. Serum uric acid (SUA), a byproduct of purine metabolism, is linked to CAD development and progression. Elevated SUA levels are an independent risk factor for cardiovascular mortality and may indicate endothelial dysfunction. The aim of the study was to the observed associate serum uric acid level with the angiographic severity of CAD. Methods: This observational study was conducted at Chittagong medical college hospital in Bangladesh from October 2020 to September 2021. It included 130 patients and used unpaired t-tests to analyze the association between serum uric acid level and angiographic severity of CAD patients. Ethical clearance was obtained from the institutional review board of Chittagong medical college and hospital. Results: A study of 130 patients found a significant relationship between serum uric acid (SUA) levels and CAD (CAD), vessel involvement, and CAD severity (p=0.001). Patients with CAD had higher SUA levels (mean 5.26±1.32 mg/dL) compared to those without CAD (mean 4.22±1.03 mg/dL). A SUA level range of 3.94-6.58 mg/dL was associated with CAD presence. Gender also showed a highly significant association with SUA levels (p=0.001), while age, BMI, and smoking status did not show significant differences. Conclusions: A strong positive association has been found between serum uric acid level and the severity of CAD. The findings of this study approve the effectiveness of hyperuricemia as an emerging risk factor for CAD.
RÉSUMÉ
Background: Coronary artery disease (CAD) is a major global health issue. Serum uric acid (SUA), a byproduct of purine metabolism, is linked to CAD development and progression. Elevated SUA levels are an independent risk factor for cardiovascular mortality and may indicate endothelial dysfunction. The aim of the study was to the observed associate serum uric acid level with the angiographic severity of CAD. Methods: This observational study was conducted at Chittagong medical college hospital in Bangladesh from October 2020 to September 2021. It included 130 patients and used unpaired t-tests to analyze the association between serum uric acid level and angiographic severity of CAD patients. Ethical clearance was obtained from the institutional review board of Chittagong medical college and hospital. Results: A study of 130 patients found a significant relationship between serum uric acid (SUA) levels and CAD (CAD), vessel involvement, and CAD severity (p=0.001). Patients with CAD had higher SUA levels (mean 5.26±1.32 mg/dL) compared to those without CAD (mean 4.22±1.03 mg/dL). A SUA level range of 3.94-6.58 mg/dL was associated with CAD presence. Gender also showed a highly significant association with SUA levels (p=0.001), while age, BMI, and smoking status did not show significant differences. Conclusions: A strong positive association has been found between serum uric acid level and the severity of CAD. The findings of this study approve the effectiveness of hyperuricemia as an emerging risk factor for CAD.
RÉSUMÉ
Background: Coronary artery disease (CAD) is the primary cause of death in developed countries and is one of the leading causes of disease burden in developing countries. Methods: This descriptive cross-sectional study included 124 purposively selected patients who underwent elective CAG in the department of cardiology, Chittagong medical college hospital, Chattogram, from July 2020 to June 2021. SPSS 23.0 software was used for processing and analysis at the end of the data collection period. Results: According to the Gensini score, patients were categorized into two groups (score <30 and ?30). There were no significant differences between the two groups concerning BMI, smoking, hypertension, DM, F/H of CAD, statin or beta-blocker use, or the levels of hemoglobin, hematocrit, MCV, MCH MCHC, and creatinine. However, the mean age was older, and there were more males in the severe CAD group. The percentage of dyslipidemia was significantly higher in patients with Gensini score ?30 than in patients with <30. RDW (OR: 2.629; 95% CI: 1.425-4.484; p=0.002) and age (OR: 1.058; 95%CI: 1.00-1.111; p=0.027) were independently correlated with the severity of CAD. The AUROC for red cell distribution width (RDW) was 0.915 with a p<0.001 for predicting CAD on CAG. It indicated a statistically significant association of RDW with the presence of CAD. A cut-off value of 13.65% RDW had a sensitivity of 80% and specificity of 84.2% for the prediction of CAD. There were no significant differences between patients with and without angiographic CAD for BMI, hypertension, DM, statin, or beta-blocker use, or of the levels of hemoglobin, hematocrit, MCV, MCH, MCHC, and creatinine. However, the mean age was older, and there were more males in the CAD group. The percentage with dyslipidemia, smoking, and F/H of CAD was significantly higher in patients with CAD than in patients without CAD. The data indicate that only RDW was independently correlated with the presence of CAD (OR: 2.593; 95% CI: 1.347-4.989; p=0.004). Conclusions: RDW is associated with the presence of CAD and suggests that it might be a readily available test for predicting coronary artery diseases.