Incident clinical and mortality associations of myocardial native T1 in the UK Biobank: a prospective observational study
Incident clinical and mortality associations of myocardial native T1 in the UK Biobank: a prospective observational study
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.
cardiac magnetic resonance, cardiovascular disease, incident events, mortality, native T1 mapping
450-460
Raisi-Estabragh, Zahra
43c85c5e-4574-476b-80d6-8fb1cdb3df0a
McCracken, Celeste
5d772e9e-3aaa-41da-a5ef-3943b1631fd9
Hann, Evan
0725a852-4ae5-4a67-8899-901ba74ae271
Conurache, Dorina-Gabriela
df7e6a42-45f8-4749-ab0d-2127e50a9cc4
Harvey, Nicholas C.
ce487fb4-d360-4aac-9d17-9466d6cba145
Munroe, Patricia B.
44d23746-20cd-4572-860e-7350424cc031
Ferreira, Vanessa M.
6aff616f-b351-4731-ae29-5898afe10939
Neubauer, Stefan
c8a34156-a4ed-4dfe-97cb-4f47627d927d
Piechnik, Stefan K.
7de3d548-ca5a-40cb-a52b-c53d2dd2278a
Petersen, Steffen E.
04f2ce88-790d-48dc-baac-cbe0946dd928
3 April 2023
Raisi-Estabragh, Zahra
43c85c5e-4574-476b-80d6-8fb1cdb3df0a
McCracken, Celeste
5d772e9e-3aaa-41da-a5ef-3943b1631fd9
Hann, Evan
0725a852-4ae5-4a67-8899-901ba74ae271
Conurache, Dorina-Gabriela
df7e6a42-45f8-4749-ab0d-2127e50a9cc4
Harvey, Nicholas C.
ce487fb4-d360-4aac-9d17-9466d6cba145
Munroe, Patricia B.
44d23746-20cd-4572-860e-7350424cc031
Ferreira, Vanessa M.
6aff616f-b351-4731-ae29-5898afe10939
Neubauer, Stefan
c8a34156-a4ed-4dfe-97cb-4f47627d927d
Piechnik, Stefan K.
7de3d548-ca5a-40cb-a52b-c53d2dd2278a
Petersen, Steffen E.
04f2ce88-790d-48dc-baac-cbe0946dd928
Raisi-Estabragh, Zahra, McCracken, Celeste, Hann, Evan, Conurache, Dorina-Gabriela, Harvey, Nicholas C., Munroe, Patricia B., Ferreira, Vanessa M., Neubauer, Stefan, Piechnik, Stefan K. and Petersen, Steffen E.
(2023)
Incident clinical and mortality associations of myocardial native T1 in the UK Biobank: a prospective observational study.
Journal of the American College of Cardiology, 16 (4), .
(doi:10.1016/j.jcmg.2022.06.011).
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.
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Accepted/In Press date: 17 June 2022
e-pub ahead of print date: 14 September 2022
Published date: 3 April 2023
Additional Information:
Funding Information: the authors thank all the UK Biobank participants, staff involved with planning, collection, and analysis, including core lab analysis of the CMR imaging data. The funders provided support in the form of salaries for authors as detailed earlier but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. This research was conducted using the UK Biobank resource under access application 2964. UK Biobank will make the data (including image acquisition parameters) available to all bona fide researchers for all types of health-related research that is in the public interest, without preferential or exclusive access for any persons. All researchers will be subject to the same application process and approval criteria as specified by UK Biobank. For more details on the access procedure, see the UK Biobank website: http://www.ukbiobank.ac.uk/register-apply.
Keywords:
cardiac magnetic resonance, cardiovascular disease, incident events, mortality, native T1 mapping
Identifiers
Local EPrints ID: 469473
URI: http://eprints.soton.ac.uk/id/eprint/469473
ISSN: 0735-1097
PURE UUID: ac2fc97c-fadd-4c9c-8084-59c742a5ed5e
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Date deposited: 15 Sep 2022 16:42
Last modified: 17 Mar 2024 02:59
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Contributors
Author:
Zahra Raisi-Estabragh
Author:
Celeste McCracken
Author:
Evan Hann
Author:
Dorina-Gabriela Conurache
Author:
Patricia B. Munroe
Author:
Vanessa M. Ferreira
Author:
Stefan Neubauer
Author:
Stefan K. Piechnik
Author:
Steffen E. Petersen
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