Unstable carotid plaque characteristics increase between 2010-2021 in carotid endarterectomy patients
Motsak, T.; Mol, B. M.; Hoekstra, J.; Pasterkamp, G.; de Borst, G. J.; De Kleijn, D.
Show abstract
BackgroundPreviously we reported a time dependent change in atherosclerotic carotid plaque characteristics, with decreasing destabilising characteristics between 2002 -2011. This observation was considered confirmative with a parallel improved adherence to medication and decrease in overall cardiovascular mortality in Western Europe. In the present study, we investigated if these time dependent changes in plaque characteristics still occurred over the last decade. MethodsUsing the Athero Express biobank, atherosclerotic plaques of 1,277 consecutive carotid endarterectomy patients included between 2010 and 2021 were analysed to examine time dependent changes in histological plaque characteristics in intervals of 2 years. These results were compared with our previous time dependent plaque composition data between 2002-2011. ResultsIn contrast to the period 2002-2011, the period 2010-2021 showed a significant increase in vulnerable plaque characteristics: large lipid cores, intraplaque hemorrhage, macrophages, and calcification. When adjusted for confounders related to these plaque characteristics, such as time to operation and pre-operative type of symptoms, the adjusted odds ratios per 2 years increase in time were 1,177 (95% confidence interval, 1,070-1,293; p<0,001) for calcification, 1,352 (95% confidence interval, 1,229-1,487; p<0,000) for intraplaque hemorrhage, 1,277 (95% confidence interval, 1,159-1,407; p<0,001) for plaques consisting of >40% of fat and 1,388 (95% confidence interval, 1,262-1,528; p<0,001) for macrophages. Use of statins increased in both the 2002-2011 and 2010-2021 period. ConclusionOur study did not support a further increase in plaque stabilizing features in carotid atherosclerotic plaques between 2010-2021. In contrast, plaques even showed features of destabilisation in the present cohort.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Family history and polygenic risk of cardiovascular disease: independent factors associated with secondary cardiovascular manifestations in patients undergoing carotid endarterectomy 95%
- NOD1 ligand FK565 promotes atherogenesis and accumulation of NOD1high smooth muscle cells in atherosclerotic lesions 94%
- Evaluation of fractional flow reserve and atherosclerotic plaque characteristics on coronary non-contrast T1-weighted magnetic resonance imaging 93%
Similar papers in this journal
- Consistency of superb microvascular imaging and contrast enhanced ultrasonography in detecting intraplaque neovascularization: a meta-analysis 93%
- A rare ORAI1 missense variant associates with risk of vascular diseases in White British adults 92%
- Full-field optical coherence tomography for the diagnosis of giant cell arteritis 92%
Similar papers in this journal
- Risk Prediction of Coronary Artery Spasm in Patients Without Obstructive Coronary Artery Disease Using a Comprehensive Clinical, Laboratory and Echocardiographic Diagnostic Score 94%
- Role of miRNAs induced by oxidized low-density lipoproteins in coronary artery disease: the REGICOR Study. 92%
- Risk and severity of COVID-19 and ABO blood group in transcatheter aortic valve patients 90%
Similar papers in this journal
- Carotid atherosclerosis in people of European, South Asian and African Caribbean ethnicity in the Southall and Brent Revisited study (SABRE) 96%
- Predicting long-term prognosis after percutaneous coronary intervention in patients with acute coronary syndromes: a prospective nested case-control analysis for county-level health services 92%
- Endothelial Nitric Oxide Synthase (eNOS) S1176 phosphorylation status governs atherosclerotic lesion formation 92%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.