| Title: | Incident Clinical and Mortality Associations of Myocardial Native T1 in the UK Biobank |
| Journal: | JACC Cardiovascular Imaging |
| Published: | 14 Sep 2022 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/36648036/ |
| DOI: | https://doi.org/10.1016/j.jcmg.2022.06.011 |
| Citations: | 14 (14 in last 2 years) as of 8 Aug 2024 |
Publication 12235
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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.</p>
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.</p>
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.</p>
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).</p>
CONCLUSIONS: This large population study demonstrates the utility of myocardial native T1-mapping for disease discrimination and outcome prediction.</p>
10 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
1 Application
| Application ID | Title |
|---|---|
| 2964 | Description of cardiovascular phenotype in the UK Biobank population based on cardiovascular magnetic resonance and carotid ultrasound |
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