Can remnant cholesterol (triglyceride-rich lipoproteins) reclassify estimated risk of atherosclerotic cardiovascular disease?
Research output: Contribution to journal › Review › Research › peer-review
Documents
- Fulltext
Accepted author manuscript, 333 KB, PDF document
Purpose of reviewTo summarize recent studies analyzing reclassification of estimated risk of myocardial infarction (MI) and ischemic heart disease (IHD) by inclusion of remnant cholesterol (= cholesterol content in triglyceride-rich lipoproteins) in primary and secondary prevention settings.Recent findingsFor individuals in a primary prevention setting with remnant cholesterol levels at least 95th percentile (≥1.6 mmol/l, 61 mg/dl), 23% of MI and 21% of IHD events developed later were reclassified correctly from below to above 5% for 10-year occurrence when remnant cholesterol levels were added to models based on conventional risk factors, whereas no events were reclassified incorrectly. Overall improved reclassification of MI was also observed for remnant cholesterol levels as low as at least 50th percentile (≥0.6 mmol/l, 25 mg/dl); however, the addition of remnant cholesterol over the entire concentration range yielded insignificant improvements of NRI for MI but slightly improved reclassification of NRI for IHD. In a secondary prevention setting, addition of remnant cholesterol over the entire concentration range to a conventional risk model improved reclassification.SummaryElevated remnant cholesterol levels considerably improves reclassification of individuals who later develop MI and IHD, in primary as well as in secondary prevention settings.
Original language | English |
---|---|
Journal | Current Opinion in Endocrinology, Diabetes and Obesity |
Volume | 30 |
Issue number | 2 |
Pages (from-to) | 128-135 |
Number of pages | 8 |
ISSN | 1752-296X |
DOIs | |
Publication status | Published - 2023 |
Bibliographical note
Publisher Copyright:
© 2023 Lippincott Williams and Wilkins. All rights reserved.
- cardiovascular disease, dyslipidemia, guidelines, heart attack, lipids
Research areas
ID: 363675094