Evaluation of Lipid Profile and Residual Cardiovascular Risk in Patients Prior to Initiation of Niaspan Therapy

在开始尼亚斯潘治疗前评估患者的血脂谱和残余心血管风险

阅读:1

Abstract

Background: Despite significant impact of statins, there are a number of patients with residual risk of cardio vascular disease who have optimally controlled low-density lipoprotein cholesterol (LDL-C). Niaspan (extended-release nicotinic acid or niacin-ER) is indicated for its use as monotherapy for the treatment of very high triglyceride (TG) levels and for the raising of high-density lipoprotein cholesterol (HDL-C) representing those residual risk populations. The patient characteristics and lipid profile, prior to initiation of therapy, in the real-world clinical setting has not been well documented. Objectives: This study evaluated lipid levels among patients initiating Niaspan in real-world clinical practice. Methods: Patients with a first prescription of Niaspan were identified using electronic medical record data from GE. Lipid values were categorized into optimal and nonoptimal TG or HDL-C levels. Results: There were 89 091 new users. Most patients had nonoptimal TG, HDL-C, TG/HDL-C ratio, LDL-C, and non-HDL-C levels. Among those with nonoptimal TG and HDL, the ratio of TG to HDL-C was higher among younger age groups (mean ratio 12.0 in males; 10.58 in females aged 18 to <40 years). TG was significantly correlated with non-HDL-C (0.41, P < .001) but not with LDL-C. Among those with LDL-C <100 mg/dL, 64.3% had nonoptimal TG/HDL-C ratio and approximately 70% had non-HDL-C ≥130 mg/dL. More than a third of the patients had diagnosis of coronary heart disease or coronary heart disease risk equivalent. Conclusion: Majority of Niaspan users had nonoptimal TG and/or HDL-C. The correlation of nonoptimal TG levels with non-HDL-C levels further support that Niaspan was targeted to population with residual risk for cardiovascular disease.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。