Characterizing Nonculprit Lesions and Perivascular Adipose Tissue of Patients Following Acute Myocardial Infarction Using Coronary Computed Tomography Angiography: A Comparative Study.

acute myocardial infarction coronary atheroma coronary computed tomography angiography high‐risk plaques residual inflammatory risk

Journal

Journal of the American Heart Association
ISSN: 2047-9980
Titre abrégé: J Am Heart Assoc
Pays: England
ID NLM: 101580524

Informations de publication

Date de publication:
29 Oct 2024
Historique:
medline: 29 10 2024
pubmed: 29 10 2024
entrez: 29 10 2024
Statut: aheadofprint

Résumé

The comparison of coronary computed tomography angiography plaques and perivascular adipose tissue (PVAT) between patients with acute myocardial infarction (AMI) posttreatment and patients with stable coronary artery disease is poorly understood. Our objective was to evaluate the differences in coronary computed tomography angiography-quantified plaque and PVAT characteristics in patients post-AMI and identify signs of residual inflammation. We analyzed 205 patients (age, 59.77±9.24 years; 92.20% men) with AMI ≤1 month and matched them with 205 patients with stable coronary artery disease (age, 60.52±10.04 years; 90.24% men) based on age, sex, and cardiovascular risk factors. Coronary computed tomography angiography scans were assessed for nonculprit plaque and vessel characteristics, plaque volumes by composition, high-risk plaques, and PVAT mean attenuation. Both patient groups exhibited similar noncalcified plaque volumes (383.35±313.23 versus 378.63±426.25 mm Patients post-AMI displayed heightened noncalcified plaque components, largely due to fibrofatty and necrotic core content, more high-risk plaques, and increased PVAT mean attenuation on a per-patient level, highlighting the necessity for refined risk assessment in patients with AMI after treatment.

Sections du résumé

BACKGROUND BACKGROUND
The comparison of coronary computed tomography angiography plaques and perivascular adipose tissue (PVAT) between patients with acute myocardial infarction (AMI) posttreatment and patients with stable coronary artery disease is poorly understood. Our objective was to evaluate the differences in coronary computed tomography angiography-quantified plaque and PVAT characteristics in patients post-AMI and identify signs of residual inflammation.
METHODS AND RESULTS RESULTS
We analyzed 205 patients (age, 59.77±9.24 years; 92.20% men) with AMI ≤1 month and matched them with 205 patients with stable coronary artery disease (age, 60.52±10.04 years; 90.24% men) based on age, sex, and cardiovascular risk factors. Coronary computed tomography angiography scans were assessed for nonculprit plaque and vessel characteristics, plaque volumes by composition, high-risk plaques, and PVAT mean attenuation. Both patient groups exhibited similar noncalcified plaque volumes (383.35±313.23 versus 378.63±426.25 mm
CONCLUSIONS CONCLUSIONS
Patients post-AMI displayed heightened noncalcified plaque components, largely due to fibrofatty and necrotic core content, more high-risk plaques, and increased PVAT mean attenuation on a per-patient level, highlighting the necessity for refined risk assessment in patients with AMI after treatment.

Identifiants

pubmed: 39470055
doi: 10.1161/JAHA.124.037258
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e037258

Auteurs

Xiaomeng Wang (X)

Cardiovascular and Metabolic Disorders Programme Duke-National University of Singapore Singapore.

Ching H Sia (CH)

National University Heart Center Singapore Singapore.
Yong Loo Lin School of Medicine National University of Singapore Singapore.

Philip D Adamson (PD)

Department of Medicine University of Otago Christchurch New Zealand.
BHF Centre for Cardiovascular Science University of Edinburgh UK.

Charlotte E Greer (CE)

Department of Medicine University of Otago Christchurch New Zealand.

Weimin Huang (W)

Institute for Infocomm Research, Agency for Science, Technology and Research (A*Star) Singapore Singapore.

Hwee K Lee (HK)

Bioinformatics Institute Agency for Science, Technology and Research (A*Star) Singapore Singapore.

Shuang Leng (S)

National Heart Center Singapore Singapore.
Duke-National University of Singapore Singapore.

Yan T Loong (YT)

National Heart Center Singapore Singapore.

Nur A S Raffiee (NAS)

National Heart Center Singapore Singapore.

Swee Y Tan (SY)

Cardiovascular and Metabolic Disorders Programme Duke-National University of Singapore Singapore.
National Heart Center Singapore Singapore.

Sock H Tan (SH)

Yong Loo Lin School of Medicine National University of Singapore Singapore.

Lynette L S Teo (LLS)

Department of Diagnostic Imaging National University Hospital Singapore Singapore.

Sung L Wong (SL)

National Heart Center Singapore Singapore.

Xiaoxun Yang (X)

Yong Loo Lin School of Medicine National University of Singapore Singapore.

Min S Yew (MS)

Department of Cardiology Tan Tock Seng Hospital Singapore Singapore.

Thon H Yong (TH)

Department of Cardiology Changi General Hospital Singapore Singapore.

Liang Zhong (L)

Cardiovascular and Metabolic Disorders Programme Duke-National University of Singapore Singapore.
National Heart Center Singapore Singapore.

Leslee J Shaw (LJ)

Icahn School of Medicine at Mount Sinai New York City NY USA.

Mark Y Y Chan (MYY)

National University Heart Center Singapore Singapore.
Yong Loo Lin School of Medicine National University of Singapore Singapore.

Derek J Hausenloy (DJ)

Cardiovascular and Metabolic Disorders Programme Duke-National University of Singapore Singapore.
National Heart Research Institute Singapore National Heart Centre Singapore Singapore.
Yong Loo Lin School of Medicine National University Singapore Singapore.
The Hatter Cardiovascular Institute University College London UK.

Lohendran Baskaran (L)

National Heart Center Singapore Singapore.
Duke-National University of Singapore Singapore.
National Heart Research Institute Singapore National Heart Centre Singapore Singapore.
CVS.AI, National Heart Research Institute Singapore National Heart Centre Singapore Singapore.

Classifications MeSH