Key result
Adding elevated remnant cholesterol to conventional models improves MI risk reclassification by ~10%.
Why the study?
Elevated remnant cholesterol causes ischemic heart disease, but its impact on risk reclassification for myocardial infarction and ischemic heart disease was not established.
Does the addition of elevated remnant cholesterol to conventional risk models improve risk prediction for myocardial infarction and ischemic heart disease in individuals without prior cardiovascular disease, diabetes, or statin use?
Cohort (n=41,928)
Does the addition of elevated remnant cholesterol to conventional risk models improve risk prediction for myocardial infarction and ischemic heart disease in individuals without prior cardiovascular disease, diabetes, or statin use?
Answers are grounded in this paper and cite their sources.
Elevated remnant cholesterol levels significantly improve risk prediction and reclassification for myocardial infarction and ischemic heart disease beyond conventional risk factors.
BACKGROUND Elevated remnant cholesterol causes ischemic heart disease. OBJECTIVES We tested the hypothesis that the inclusion of elevated remnant cholesterol will lead to appropriate reclassification of individuals who later experience myocardial infarction and ischemic heart disease. METHODS For >10 years we followed up 41,928 white Danish individuals from the Copenhagen General Population Study without a history of ischemic cardiovascular disease, diabetes, and statin use. Using predefined cut points for elevated remnant cholesterol, we calculated net reclassification index (NRI) from below to above 5%, 7.5%, and/or 10% 10-year occurrence of myocardial infarction and ischemic heart disease defined as a composite of death from ischemic heart disease, myocardial infarction, and coronary revascularization. RESULTS For individuals with remnant cholesterol levels >= 95th percentile (>= 1.6 mmol/L, 61 mg/dL), 23% (P < 0.001) of myocardial infarction and 21% (P < 0.001) of ischemic heart disease 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. Consequently, the addition of remnant cholesterol levels yielded NRI of 10% (95% CI: 1%-20%) for myocardial infarction and 5% (95% CI: similar to 3% to 13%) for ischemic heart disease. Correspondingly, when reclassifications were combined from below to above 5%, 7.5%, and 10% risk of events, 42% (P < 0.001) of individuals with myocardial infarction and 41% (P < 0.001) with ischemic heart disease were reclassified appropriately, leading to NRI of respectively 20% (95% CI: 9%-31%) and 11% (95% CI: 2%-21%). CONCLUSIONS Elevated remnant cholesterol levels considerably improve myocardial infarction and ischemic heart disease risk prediction. (C) 2022 by the American College of Cardiology Foundation. This work was supported by the Global Excellence Programme (to Dr Nordestgaard) and by the Research Fund for the Capital Region of Denmark (to Drs Doi and Langsted), by the Japanese College of Cardiology Overseas Research Fellowship (to Dr Doi) and by ScandinaviaJapan Sasakawa Foundation (to Dr Doi). Dr Nordestgaard has reported consultancies or talks sponsored by AstraZeneca, Sanofi, Regeneron, Akcea, Amgen, Amarin, Kowa, Denka, Novartis, Novo Nordisk, Esperion, and Silence Therapeutics. Dr Doi has reported talks sponsored by MSD. Dr Langsted has reported that she has no relationships relevant to the contents of this paper to disclose.
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Doi et al. (2022) conducted a cohort in Ischemic heart disease and myocardial infarction (n=41,928). Elevated remnant cholesterol vs. Conventional risk factors was evaluated on Net reclassification index (NRI) for 10-year occurrence of myocardial infarction (NRI 10%, 95% CI 1%-20%, p=<0.001). Adding elevated remnant cholesterol to conventional risk models significantly improved risk prediction, yielding a net reclassification index of 10% (95% CI 1%-20%) for myocardial infarction.
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