Retrospective Observational EMR based Real World Study to assess the Prevalence and Treatmentof Dyslipidemia in Indian Patients
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 10,000
- 试验地点
- 1
- 主要终点
- Incidence of newly diagnosed dyslipidemia.
研究概览
简要总结
This is a retrospective Observational EMR based Real World Study to assess the Prevalence and Treatment of Dyslipidemia in Indian Patients.
Dyslipidemia is closely associated with coronary artery disease (CAD), and type-2 diabetes mellitus. Early detection of dyslipidemia through laboratory tests can prevent or help in reducing CAD, and indeed all-cause mortality. As the prevalence of dyslipidemia is high in developing countries like India, awareness of dyslipidemia is essential.
This study is planned to collect data of Indian patients with dyslipidemia through EMR which helps physicians to understand current prevalence of dyslipidemia and comorbidities in dyslipidemia patients and treatment pattern.
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 18.00 Year(s) 至 99.00 Year(s)（—）
- 性别
- All
入选标准
- •Dyslipidemia patients.
排除标准
- •Patients not diagnosed with dyslipidemia.
结局指标
主要结局
Incidence of newly diagnosed dyslipidemia.
时间窗: A follow-up data will be captured at 3 months ±30 days from the baseline visit/index date per patient to assess the change in lipid levels over time.
Prevalence of dyslipidemia.
时间窗: A follow-up data will be captured at 3 months ±30 days from the baseline visit/index date per patient to assess the change in lipid levels over time.
次要结局
- Levels of TC, LDL, HDL, VLDL, & serum TG in newly diagnosed dyslipidemia patients with different concurrent conditions at baseline & follow-up. Number & percentage of newly diagnosed dyslipidemia(patients achieving target LDL levels according to international guidelines)