Association of Triglyceride and C-reactive Protein Level with Severity of Angiographically Defined Coronary Artery Disease.

Coronary artery disease (CAD) is considered as a major cause of morbidity and mortality worldwide. Inflammatory cytokines play an important role in the pathogenesis and progression of atherosclerosis. The aim of the study was to find out the association of C-reactive protein (CRP) and triglyceride (TG) level on the severity of CAD in patients with ischemic heart disease (IHD). This cross-sectional study was performed in the Department of Cardiology, National Institute of Cardiovascular Diseases, Dhaka, Bangladesh during the period of March 2018 to February 2021. Total 431 patients with ischemic heart disease were enrolled after taking informed written consent. CRP values were categorized into normal (<6 mg/L), borderline (6-10 mg/L) and high (>10mg/L) and TG level were categorized into normal (<150 mg/dl), borderline (150-199mg/dl) and high (≥200 mg/dl). Patients with ischemic heart disease (IHD) were stratified according to CRP value and TG level. Severity of CAD was assessed by the Gensini score. Most of the patients (33.4%) belonged to age 51-60 years. The mean age was 51.31±10.30 years. The majority (74.5%) of patients were male. Among risk factors, the highest 205(47.6%) patients were smokers followed by hypertension 190(44.1%) and diabetes mellitus 175(40.5%). The association of TG and CRP with the whole spectrum of IHD was found statistically significant (p<0.05). Severe CAD was found higher in high TG and high CRP level group compared with the other groups and was statistically significant. Inflammation assessed by high CRP and hypertriglyceridemia associated with the risk and severity of CAD.

A dataset on the prevalence and associated risk factors for mental health problems among female university students in Bangladesh.

The data presented here relate to the article with the following title, "Prevalence and associated risk factors for mental health problems among female university students during COVID-19 pandemic: A cross-sectional study findings from Dhaka, Bangladesh" [1]. This article provides a dataset on the prevalence of psychological distress among 451 female university students during the ongoing COVID-19 pandemic. We collected their responses from October 15, 2021, to January 15, 2022, using Google survey tools (Google Forms). A structured questionnaire was prepared, consisting of sociodemographic variables and their association with mental health problems. Three psychometric scales, UCLA-3, GAD-7, and PHQ-9, were applied to measure disorders of loneliness, anxiety, and depression, respectively. We performed the statistical analysis using IBM SPSS (v. 25.0). Each respondent gave their electronic consent for the study, and anonymized data were published. Hence, policymakers of government and non-government groups may utilize the data to create a variety of initiatives to support the mental health of female university students from Dhaka, Bangladesh.