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Published on: November 10, 2017
Cardiovascular prevention: Frontiers in lipid guidelines
Eun Ji Kim1, Anthony S Wierzbicki2
1Guy's & St Thomas' Hospitals, London, UK anthony.wierzbicki@kcl.ac.uk.
Insights
Cardiovascular disease (CVD) risk is being refined with new lipid insights and biomarkers. Guidelines are evolving to incorporate advanced treatments like PCSK9 inhibitors and genetic testing for familial hypercholesterolemia.
Area of Science:
- Cardiology
- Biochemistry
- Genetics
Background:
- Cardiovascular disease (CVD) is a leading global cause of death.
- Guidelines are updating with new evidence, economic factors, and expiring drug patents.
- Research is exploring novel biomarkers and risk factors for CVD prediction.
Purpose of the Study:
- To review current evidence on lipid fractions and biomarkers for CVD risk.
- To discuss advancements in CVD risk calculators and genetic detection of familial hypercholesterolemia.
- To evaluate the role of novel lipid-lowering therapies and omega-3 fatty acids in CVD management.
Main Methods:
- Literature review of recent trials and studies on CVD risk factors and treatments.
- Analysis of data on lipid fractions, novel biomarkers, and genetic testing.
- Examination of international guidelines and economic considerations for lipid-lowering therapies.
Main Results:
- Low-density lipoprotein cholesterol (LDL-C) remains central, with statins and ezetimibe established treatments.
- Novel therapies like PCSK9 inhibitors show promise but require further evaluation.
- The role of other lipid fractions and omega-3 fatty acids in CVD requires clarification.
Conclusions:
- Evolving evidence necessitates updated CVD guidelines and risk assessment tools.
- Personalized approaches, including genetic screening, are becoming more prominent.
- Further research is needed to fully integrate new lipid data and therapies into clinical practice.
Abstract:
Cardiovascular disease (CVD) remains one of the principal causes of morbidity and mortality in the world. International guidelines are being updated to take into account new evidence and improved health economics as drug patents expire. Recent studies have investigated the best lipid fractions to predict CVD, suggested additional CVD risk factors and a potential role for novel biomarkers while big data approaches have allowed improvements to be made to CVD risk calculators. The increasing availability of next generation sequencing is allowing systematic efforts to be made to detect monogenic familial hypercholesterolaemia.Previous trials have validated the low-density lipoprotein cholesterol (LDL-C) hypothesis of atherosclerosis. Statins now form part of universal treatment advice for CVD and trial data on ezetimibe also suggests it has a place in the treatment pathway. New data has been published on novel lipid-lowering therapies such as proprotein convertase subtilisin kexin 9 inhibitors but the role of these expensive drugs has yet to be fully settled and a diversity of approaches exists between guidelines.The role of lipid fractions outside LDL-C is unclear. There will be challenges in incorporating new non-linear data on omega-3 fatty acids that not only affect triglycerides but more directly CVD.
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