Thoracic Aortic Volume as a Predictor of Cardiovascular Events: The Multi-Ethnic Study of Atherosclerosis.

aortic arch ascending aorta cardiac magnetic resonance imaging descending aorta

Journal

Journal of magnetic resonance imaging : JMRI
ISSN: 1522-2586
Titre abrégé: J Magn Reson Imaging
Pays: United States
ID NLM: 9105850

Informations de publication

Date de publication:
02 Nov 2023
Historique:
revised: 17 10 2023
received: 11 08 2023
accepted: 17 10 2023
medline: 2 11 2023
pubmed: 2 11 2023
entrez: 2 11 2023
Statut: aheadofprint

Résumé

It is unclear whether thoracic aortic volume (TAV) is useful for cardiovascular (CV) disease prognosis and risk assessment. This study evaluated cross-sectional associations of TAV with CV risk factors, and longitudinal association with incident CV events in the multiethnic study of atherosclerosis. Retrospective cohort analysis of prospective data. 1182 participants (69 ± 9 years, 54% female, 37% Caucasian, 18% Chinese, 31% African American, 14% Hispanic, 60% hypertensive, and 20% diabetic) without prior CV disease. Axial black-blood turbo spin echo or bright blood steady-state free precession images on 1.5T scanners. TAV was calculated using Simpson's method from axial images, and included the ascending arch and descending segments. Traditional CV risk factors were assessed at the time of MRI. CV outcomes over a 9-year follow-up period were recorded and represented a composite of stroke, stroke death, coronary heart disease (CHD), CHD death, atherosclerotic death, and CVD death. Multivariable linear regression models adjusted for height and weight were used to determine the relationship (β coefficient) between TAV and CV risk factors. Cox regression models assessed the association of TAV and incident CV events. A P-value of <0.05 was deemed statistically significant. Mean TAV was = 139 ± 41 mL. In multivariable regression, TAV was directly associated with age (β = 1.6), male gender (β = 23.9), systolic blood pressure (β = 0.1), and hypertension medication use (β = 7.9); and inversely associated with lipid medication use (β = -5.3) and treated diabetes (β = -8.9). Compared to Caucasians, Chinese Americans had higher TAV (β = 11.4), while African Americans had lower TAV (β = -7.0). Higher TAV was independently associated with incident CV events (HR: 1.057 per 10 mL). Greater TAV is associated with incident CV events, increased age, and hypertension in a large multiethnic population while treated diabetes and lipid medication use were associated with lower TAV. 2 TECHNICAL EFFICACY: Stage 2.

Sections du résumé

BACKGROUND BACKGROUND
It is unclear whether thoracic aortic volume (TAV) is useful for cardiovascular (CV) disease prognosis and risk assessment.
PURPOSE OBJECTIVE
This study evaluated cross-sectional associations of TAV with CV risk factors, and longitudinal association with incident CV events in the multiethnic study of atherosclerosis.
STUDY TYPE METHODS
Retrospective cohort analysis of prospective data.
POPULATION METHODS
1182 participants (69 ± 9 years, 54% female, 37% Caucasian, 18% Chinese, 31% African American, 14% Hispanic, 60% hypertensive, and 20% diabetic) without prior CV disease.
FIELD STRENGTH AND SEQUENCES UNASSIGNED
Axial black-blood turbo spin echo or bright blood steady-state free precession images on 1.5T scanners.
ASSESSMENT RESULTS
TAV was calculated using Simpson's method from axial images, and included the ascending arch and descending segments. Traditional CV risk factors were assessed at the time of MRI. CV outcomes over a 9-year follow-up period were recorded and represented a composite of stroke, stroke death, coronary heart disease (CHD), CHD death, atherosclerotic death, and CVD death.
STATISTICAL TESTS METHODS
Multivariable linear regression models adjusted for height and weight were used to determine the relationship (β coefficient) between TAV and CV risk factors. Cox regression models assessed the association of TAV and incident CV events. A P-value of <0.05 was deemed statistically significant.
RESULTS RESULTS
Mean TAV was = 139 ± 41 mL. In multivariable regression, TAV was directly associated with age (β = 1.6), male gender (β = 23.9), systolic blood pressure (β = 0.1), and hypertension medication use (β = 7.9); and inversely associated with lipid medication use (β = -5.3) and treated diabetes (β = -8.9). Compared to Caucasians, Chinese Americans had higher TAV (β = 11.4), while African Americans had lower TAV (β = -7.0). Higher TAV was independently associated with incident CV events (HR: 1.057 per 10 mL).
CONCLUSION CONCLUSIONS
Greater TAV is associated with incident CV events, increased age, and hypertension in a large multiethnic population while treated diabetes and lipid medication use were associated with lower TAV.
LEVEL OF EVIDENCE METHODS
2 TECHNICAL EFFICACY: Stage 2.

Identifiants

pubmed: 37916841
doi: 10.1002/jmri.29110
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NCATS NIH HHS
ID : UL1-TR-000040
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1-TR-001079
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1-TR-001420
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201500003I
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01-HC-95159
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01-HC-95160
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01-HC-95161
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01-HC-95162
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01-HC-95163
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01-HC-95164
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01-HC-95165
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01-HC-95166
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01-HC-95167
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01-HC-95168
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01-HC-95169
Pays : United States

Informations de copyright

© 2023 International Society for Magnetic Resonance in Medicine.

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Auteurs

Sreeja Sanampudi (S)

The University of Kentucky, Lexington, Kentucky, USA.

Gisela Teixidó-Turà (G)

Department of Cardiology, Hospital Universitari Vall d'Hebron, CIBER-CV, Barcelona, Spain.

Tomoki Fujii (T)

Johns Hopkins University, Baltimore, Maryland, USA.

Chikara Noda (C)

Johns Hopkins University, Baltimore, Maryland, USA.

Alban Redhueil (A)

HEGP-Hospital European Georges Pompidou, Paris, France.

Colin O Wu (CO)

Johns Hopkins University, Baltimore, Maryland, USA.

W Gregory Hundley (WG)

Wake Forest University Health Sciences, North Carolina, USA.

Antoinette S Gomes (AS)

University of California, Los Angeles-School of Medicine, Los Angeles, California, USA.

David A Bluemke (DA)

University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.

João A C Lima (JAC)

Johns Hopkins University, Baltimore, Maryland, USA.

Bharath Ambale-Venkatesh (B)

Johns Hopkins University, Baltimore, Maryland, USA.

Classifications MeSH