Incident Clinical and Mortality Associations of Myocardial Native T1 in the UK Biobank.

Abstract

BACKGROUND:

Cardiac magnetic resonance native T1-mapping provides noninvasive, quantitative, and contrast-free myocardial characterization. However, its predictive value in population cohorts has not been studied.

OBJECTIVES:

The associations of native T1 with incident events were evaluated in 42,308 UK Biobank participants over 3.17 ± 1.53 years of prospective follow-up.

METHODS:

Native T1-mapping was performed in 1 midventricular short-axis slice using the Shortened Modified Look-Locker Inversion recovery technique (WIP780B) in 1.5-T scanners (Siemens Healthcare). Global myocardial T1 was calculated using an automated tool. Associations of T1 with: 1) prevalent risk factors (eg, diabetes, hypertension, and high cholesterol); 2) prevalent and incident diseases (eg, any cardiovascular disease [CVD], any brain disease, valvular heart disease, heart failure, nonischemic cardiomyopathies, cardiac arrhythmias, atrial fibrillation [AF], myocardial infarction, ischemic heart disease [IHD], and stroke); and 3) mortality (eg, all-cause, CVD, and IHD) were examined. Results are reported as odds ratios (ORs) or HRs per SD increment of T1 value with 95% CIs and corrected P values, from logistic and Cox proportional hazards regression models.

RESULTS:

Higher myocardial T1 was associated with greater odds of a range of prevalent conditions (eg, any CVD, brain disease, heart failure, nonischemic cardiomyopathies, AF, stroke, and diabetes). The strongest relationships were with heart failure (OR: 1.41 [95% CI: 1.26-1.57]; P = 1.60 × 10-9) and nonischemic cardiomyopathies (OR: 1.40 [95% CI: 1.16-1.66]; P = 2.42 × 10-4). Native T1 was positively associated with incident AF (HR: 1.25 [95% CI: 1.10-1.43]; P = 9.19 × 10-4), incident heart failure (HR: 1.47 [95% CI: 1.31-1.65]; P = 4.79 × 10-11), all-cause mortality (HR: 1.24 [95% CI: 1.12-1.36]; P = 1.51 × 10-5), CVD mortality (HR: 1.40 [95% CI: 1.14-1.73]; P = 0.0014), and IHD mortality (HR: 1.36 [95% CI: 1.03-1.80]; P = 0.0310).

CONCLUSIONS:

This large population study demonstrates the utility of myocardial native T1-mapping for disease discrimination and outcome prediction.

• Authors: Zahra Raisi-Estabragh, Celeste McCracken, Evan Hann, Dorina-Gabriela Condurache, Nicholas C Harvey, Patricia B Munroe, Vanessa M Ferreira, Stefan Neubauer, Stefan K Piechnik, Steffen E Petersen
• Journal: JACC. Cardiovascular imaging (JACC Cardiovasc Imaging) Vol. 16 Issue 4 Pg. 450-460 (04 2023) ISSN: 1876-7591 [Electronic] United States
• PMID: 36648036 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
• Copyright: Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.

Topics

• Humans
• Prospective Studies
• Biological Specimen Banks
• Predictive Value of Tests
• Cardiomyopathies
• Heart Failure
• Atrial Fibrillation
• Stroke
• United Kingdom