Impact of lipid-lowering treatment on the performance of SCORE2 algorithms in detecting high-risk individuals

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Authors: Anastasios Kollias, Konstantinos G. Kyriakoulis, Aikaterini Komnianou, Thomas Tsaganos, Dimitra Krystallaki, Ariadni Menti, Eirini-Chrysovalanti Antonogiannaki, George S. Stergiou
Cited by: 1
References: 8

Abstract

BACKGROUND AND AIM: Current guidelines state that Systematic Coronary Risk Evaluation 2 (SCORE2) risk algorithms should not be used among persons under lipid-lowering therapy. This study investigated, among dyslipidemia-treated individuals, the effect of lipid-lowering treatment on SCORE2 calculation and on its performance in detecting high-risk individuals METHODS AND RESULTS: Analysis included middle-aged individuals (n = 417), treated for dyslipidemia, without established cardiovascular disease, diabetes and/or chronic kidney disease, recruited from screening programs in the community [mean age 59.5 ± 6.9 (SD) years, men 48.9%, statin monotherapy 67%, statin/ezetimibe combination 26%]. SCORE2 algorithms were calculated using measured and adjusted (for the lipid-lowering therapy characteristics) lipid levels. SCORE2 and adjusted-SCORE2 were 5.4 ± 2.7% and 6.6 ± 3.3% respectively (P < 0.05). Participants classified as low-moderate/high/very-high risk (age-dependent risk thresholds) were 42.2%/51.1%/6.7% with SCORE2, and 28.8%/54.4%/16.8% with adjusted-SCORE2 (agreement 76.5%, weighted kappa 0.73, P < 0.05). Using single risk thresholds (

Fields of Study & Subjects

Lipoproteins and Cardiovascular Health Diabetes Cardiovascular Risks and Lipoproteins Cardiovascular Health and Disease Prevention

Publication details

Journal / source
Nutrition Metabolism and Cardiovascular Diseases
Publisher
Elsevier BV
Volume
36
Issue
11
Pages
104823–104823
Publication date
1 June 2026
Language
EN