Unused potential of lipid-lowering therapy in very high-risk patients with atherosclerotic cardiovascular disease - a retrospective data analysis

Nutrition, Metabolism and Cardiovascular Diseases(2024)

引用 0|浏览1
暂无评分
摘要
Background Atherosclerotic cardiovascular disease (ASCVD) is the most common cause of death in Europe. Although the 2019 European Society of Cardiology/European Atherosclerosis Society Guidelines for the management of dyslipidaemias claim a target low-density lipoprotein cholesterol (LDL-C) value of <55 mg/dL for very high-risk patients by use of lipid-lowering therapy (LLT) and lifestyle adaptations, the target level achievement is not satisfactory. We examined LLT use in ASCVD patients exceeding LDL-C target levels at admission and its adaptations at discharge. Methods and Results Between January 2017 and February 2020, 1,091 patients with LDL-C >100 mg/dL and ASCVD defined as diagnosis of angina pectoris (AP, n=179), acute myocardial infarction (AMI, n=317), chronic ischemic heart disease (CHD, n=195), or peripheral artery disease (PAD, n=400) were extracted from hospital records. LLT use on admission and discharge as well as recommendations on lifestyle and nutrition were analysed.On admission, 51% of the patients were not taking LLT. At discharge, 91% were prescribed statins and 87% were advised on lifestyle adaptation and/or pharmacological treatment. High-intensity statin use at discharge was present in 63% of the AP-group, 92% of the AMI-group, 62% of the CHD-group and 71% of the PAD-group. Ezetimibe was present in 16% and proprotein convertase subtilisin/kexin 9 inhibitors (PCSK9i) in 1%. However, of those on high-intensity statin, 25% remained on insufficient statin dosage. Conclusion Switch to high-intensity statins and use of ezetimibe and PCSK9i was low in chronic ASCVD patients. Even though statin intake was high in high-risk patients, target levels were still not reached.
更多
查看译文
关键词
cholesterol,statin,hypercholesterolemia,lipid-lowering therapy,secondary prevention,ezetimibe
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要