The Association of Coronary Artery Calcification With Subsequent Incidence of Cardiovascular Disease in Type 1 Diabetes: The DCCT/EDIC Trials.


Journal

JACC. Cardiovascular imaging
ISSN: 1876-7591
Titre abrégé: JACC Cardiovasc Imaging
Pays: United States
ID NLM: 101467978

Informations de publication

Date de publication:
07 2019
Historique:
received: 14 09 2018
revised: 13 11 2018
accepted: 03 01 2019
pubmed: 18 3 2019
medline: 19 3 2020
entrez: 18 3 2019
Statut: ppublish

Résumé

This study sought to determine the relationship between coronary artery calcium (CAC) scores and subsequent cardiovascular disease (CVD) events in DCCT (Diabetes Control and Complications Trial)/EDIC (Epidemiology of Diabetes Interventions and Complications) participants. The CAC score has been validated for improved risk stratification in general populations; however, this association has not been well studied in type 1 diabetes (T1DM). Computed tomography (CT) to measure CAC was performed in 1,205 DCCT/EDIC participants at a mean of 42.8 years of age during EDIC years 7 to 9, after the end of DCCT. This study analyzed the association between CAC and time to the first subsequent CVD event or to the first major adverse cardiac event (MACE), a follow-up of 10 to 13 years. CAC was categorized as: 0, >0 to 100, >100 to 300, or >300 Agatston units. Of 1,156 participants at risk for subsequent CVD, 105 had an initial CVD event (8.5 per 1,000 patient-years); and of 1,187 participants at risk for MACE, 51 had an initial MACE event (3.9 per 1,000 patient-years). Event rates among those with scores of zero (n = 817 [70.7%]) were very low for CVD (5.6 per 1,000 patient years). CAC scores >100 to 300 (hazard ratio [HR]: 4.17, 5.40) and >300 (HR: 6.06, 6.91) were associated with higher risks of CVD and MACE, respectively, compared to CAC of 0 (p < 0.0001). CAC scores >0 to 100 were nominally associated with CVD (HR: 1.71; p = 0.0415) but not with MACE (HR: 1.11; p = 0.8134). Similar results were observed when also adjusted for mean HbA CAC scores >100 Agatston units were significantly associated with an increased risk of the subsequent occurrence of CVD and MACE in DCCT/EDIC cohort. (Diabetes Control and Complications Trial [DCCT]; NCT00360815; Epidemiology of Diabetes Interventions and Complications [EDIC]; NCT00360893).

Sections du résumé

OBJECTIVES
This study sought to determine the relationship between coronary artery calcium (CAC) scores and subsequent cardiovascular disease (CVD) events in DCCT (Diabetes Control and Complications Trial)/EDIC (Epidemiology of Diabetes Interventions and Complications) participants.
BACKGROUND
The CAC score has been validated for improved risk stratification in general populations; however, this association has not been well studied in type 1 diabetes (T1DM).
METHODS
Computed tomography (CT) to measure CAC was performed in 1,205 DCCT/EDIC participants at a mean of 42.8 years of age during EDIC years 7 to 9, after the end of DCCT. This study analyzed the association between CAC and time to the first subsequent CVD event or to the first major adverse cardiac event (MACE), a follow-up of 10 to 13 years. CAC was categorized as: 0, >0 to 100, >100 to 300, or >300 Agatston units.
RESULTS
Of 1,156 participants at risk for subsequent CVD, 105 had an initial CVD event (8.5 per 1,000 patient-years); and of 1,187 participants at risk for MACE, 51 had an initial MACE event (3.9 per 1,000 patient-years). Event rates among those with scores of zero (n = 817 [70.7%]) were very low for CVD (5.6 per 1,000 patient years). CAC scores >100 to 300 (hazard ratio [HR]: 4.17, 5.40) and >300 (HR: 6.06, 6.91) were associated with higher risks of CVD and MACE, respectively, compared to CAC of 0 (p < 0.0001). CAC scores >0 to 100 were nominally associated with CVD (HR: 1.71; p = 0.0415) but not with MACE (HR: 1.11; p = 0.8134). Similar results were observed when also adjusted for mean HbA
CONCLUSIONS
CAC scores >100 Agatston units were significantly associated with an increased risk of the subsequent occurrence of CVD and MACE in DCCT/EDIC cohort. (Diabetes Control and Complications Trial [DCCT]; NCT00360815; Epidemiology of Diabetes Interventions and Complications [EDIC]; NCT00360893).

Identifiants

pubmed: 30878435
pii: S1936-878X(19)30143-3
doi: 10.1016/j.jcmg.2019.01.014
pmc: PMC6612565
mid: NIHMS1521755
pii:
doi:

Banques de données

ClinicalTrials.gov
['NCT00360893']

Types de publication

Journal Article Multicenter Study Observational Study Randomized Controlled Trial Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1341-1349

Subventions

Organisme : NIDDK NIH HHS
ID : U01 DK094176
Pays : United States
Organisme : NIDDK NIH HHS
ID : N01 DK062204-007
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK094157
Pays : United States
Organisme : NIDDK NIH HHS
ID : N01 DK062204-A
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK017047
Pays : United States

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2019 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

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Auteurs

Matthew Budoff (M)

Los Angeles Biomedical Research Institute at Harbor-University of California Los Angeles School of Medicine, Torrance, California. Electronic address: Budoff@ucla.edu.

Jye-Yu C Backlund (JC)

Department of Biostatistics, George Washington University, Rockville, Maryland.

David A Bluemke (DA)

Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.

Joseph Polak (J)

Department of Medicine, Lemuel Shattuck Hospital and Tufts University School of Medicine, Boston, Massachusetts.

Ionut Bebu (I)

Department of Biostatistics, George Washington University, Rockville, Maryland.

David Schade (D)

Department of Medicine, University of New Mexico, Albuquerque, New Mexico.

Suzanne Strowig (S)

Department of Medicine, University of Texas Southwestern Medical Center, Dallas, Texas.

Philip Raskin (P)

Department of Medicine, University of Texas Southwestern Medical Center, Dallas, Texas.

John M Lachin (JM)

Department of Biostatistics, George Washington University, Rockville, Maryland.

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Classifications MeSH