ArticleInternational journal of cardiology. Cardiovascular risk and prevention2025
Cardiovascular risk in newly diagnosed patients with type 2 diabetes mellitus: a nationwide, facility-based, cross-sectional study in Bangladesh.
Article in International journal of cardiology. Cardiovascular risk and prevention, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Real-World Effectiveness and Safety of Imeglimin in Type 2 Diabetes: Prospective Multi-Center Study in Bangladesh.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Article
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21 authors.
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Abstract
Aims: Evidence on cardiovascular (CV) risk stratification in Bangladeshi patients with type 2 diabetes mellitus (T2DM) who are asymptomatic for cardiovascular disease (CVD) is limited. This study aimed to assess the 10-year CV risk in newly diagnosed patients with T2DM. Methods: In 2023, a cross-sectional study was carried out at endocrinology clinics in tertiary hospitals throughout Bangladesh, involving newly diagnosed patients with T2DM aged 25 to 84 who had no prior history of CVD and were asymptomatic for the condition. CV risk was assessed and classified using QRISK3. Results: 1617 newly diagnosed patients with T2DM (age 44.92 ± 11.84 years, male 49.5 %) were analyzed. Their median QRISK3 score was 11.0 %, with 46.5 % at low, 25.7 % at moderate, and 27.8 % at high 10-year CV risk, respectively. The QRISK3 score increased with age for both men and women, with men consistently scoring higher than women in every age group. Among the age groups 25-39, 40-64, and 65-84, the percentages of patients with high 10-year CV risk were 3.3 %, 34.0 %, and 94.5 %, respectively. The median relative risk (RR) of CVD was 4.3. RR decreased with age for both sexes, and men had a lower RR than women across all age groups. A sleep duration of 6-9 h was associated with a lower 10-year CV risk. Conclusions: Many newly diagnosed Bangladeshi patients with T2DM have substantial CV risk. QRISK3 can assist clinicians in predicting 10-year CV risk and choosing appropriate treatments to prevent CVD.
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