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Left atrial structure and function are associated with cardiovascular outcomes independent of left ventricular measures: a UK Biobank CMR study

Left atrial structure and function are associated with cardiovascular outcomes independent of left ventricular measures: a UK Biobank CMR study
Left atrial structure and function are associated with cardiovascular outcomes independent of left ventricular measures: a UK Biobank CMR study
Aims: we evaluated the associations of left atrial (LA) structure and function with prevalent and incident cardiovascular disease (CVD), independent of left ventricular (LV) metrics, in 25 896 UK Biobank participants.

Methods and results: we estimated the association of cardiovascular magnetic resonance (CMR) metrics [LA maximum volume (LAV), LA ejection fraction (LAEF), LV mass : LV end-diastolic volume ratio (LVM : LVEDV), global longitudinal strain, and LV global function index (LVGFI)] with vascular risk factors (hypertension, diabetes, high cholesterol, and smoking), prevalent and incident CVDs [atrial fibrillation (AF), stroke, ischaemic heart disease (IHD), myocardial infarction], all-cause mortality, and CVD mortality. We created uncorrelated CMR variables using orthogonal principal component analysis rotation. All five CMR metrics were simultaneously entered into multivariable regression models adjusted for sex, age, ethnicity, deprivation, education, body size, and physical activity. Lower LAEF was associated with diabetes, smoking, and all the prevalent and incident CVDs. Diabetes, smoking, and high cholesterol were associated with smaller LAV. Hypertension, IHD, AF (incident and prevalent), incident stroke, and CVD mortality were associated with larger LAV. LV and LA metrics were both independently informative in associations with prevalent disease, however LAEF showed the most consistent associations with incident CVDs. Lower LVGFI was associated with greater all-cause and CVD mortality. In secondary analyses, compared with LVGFI, LV ejection fraction showed similar but less consistent disease associations.

Conclusion: LA structure and function measures (LAEF and LAV) demonstrate significant associations with key prevalent and incident cardiovascular outcomes, independent of LV metrics. These measures have potential clinical utility for disease discrimination and outcome prediction.
0195-668X
Raisi-Estabragh, Zahra
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McCracken, Celeste
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Conurache, Dorina
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Aung, Nay
709b152d-e704-4fdc-b066-7eafaa643a0b
Vargas, Jose D.
658fa1a8-743e-48c6-9371-a4580b0f672e
Naderi, Hafiz
6efda0ae-b8bc-4a10-8ae1-d44dc14bccd5
Munroe, Patricia B.
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Neubauer, Stefan
c8a34156-a4ed-4dfe-97cb-4f47627d927d
Harvey, Nicholas
ce487fb4-d360-4aac-9d17-9466d6cba145
Petersen, Steffen E.
04f2ce88-790d-48dc-baac-cbe0946dd928
Raisi-Estabragh, Zahra
43c85c5e-4574-476b-80d6-8fb1cdb3df0a
McCracken, Celeste
5d772e9e-3aaa-41da-a5ef-3943b1631fd9
Conurache, Dorina
df7e6a42-45f8-4749-ab0d-2127e50a9cc4
Aung, Nay
709b152d-e704-4fdc-b066-7eafaa643a0b
Vargas, Jose D.
658fa1a8-743e-48c6-9371-a4580b0f672e
Naderi, Hafiz
6efda0ae-b8bc-4a10-8ae1-d44dc14bccd5
Munroe, Patricia B.
44d23746-20cd-4572-860e-7350424cc031
Neubauer, Stefan
c8a34156-a4ed-4dfe-97cb-4f47627d927d
Harvey, Nicholas
ce487fb4-d360-4aac-9d17-9466d6cba145
Petersen, Steffen E.
04f2ce88-790d-48dc-baac-cbe0946dd928

Raisi-Estabragh, Zahra, McCracken, Celeste, Conurache, Dorina, Aung, Nay, Vargas, Jose D., Naderi, Hafiz, Munroe, Patricia B., Neubauer, Stefan, Harvey, Nicholas and Petersen, Steffen E. (2021) Left atrial structure and function are associated with cardiovascular outcomes independent of left ventricular measures: a UK Biobank CMR study. European Heart Journal. (doi:10.1093/ehjci/jeab266).

Record type: Article

Abstract

Aims: we evaluated the associations of left atrial (LA) structure and function with prevalent and incident cardiovascular disease (CVD), independent of left ventricular (LV) metrics, in 25 896 UK Biobank participants.

Methods and results: we estimated the association of cardiovascular magnetic resonance (CMR) metrics [LA maximum volume (LAV), LA ejection fraction (LAEF), LV mass : LV end-diastolic volume ratio (LVM : LVEDV), global longitudinal strain, and LV global function index (LVGFI)] with vascular risk factors (hypertension, diabetes, high cholesterol, and smoking), prevalent and incident CVDs [atrial fibrillation (AF), stroke, ischaemic heart disease (IHD), myocardial infarction], all-cause mortality, and CVD mortality. We created uncorrelated CMR variables using orthogonal principal component analysis rotation. All five CMR metrics were simultaneously entered into multivariable regression models adjusted for sex, age, ethnicity, deprivation, education, body size, and physical activity. Lower LAEF was associated with diabetes, smoking, and all the prevalent and incident CVDs. Diabetes, smoking, and high cholesterol were associated with smaller LAV. Hypertension, IHD, AF (incident and prevalent), incident stroke, and CVD mortality were associated with larger LAV. LV and LA metrics were both independently informative in associations with prevalent disease, however LAEF showed the most consistent associations with incident CVDs. Lower LVGFI was associated with greater all-cause and CVD mortality. In secondary analyses, compared with LVGFI, LV ejection fraction showed similar but less consistent disease associations.

Conclusion: LA structure and function measures (LAEF and LAV) demonstrate significant associations with key prevalent and incident cardiovascular outcomes, independent of LV metrics. These measures have potential clinical utility for disease discrimination and outcome prediction.

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Accepted/In Press date: 26 November 2021
e-pub ahead of print date: 15 December 2021
Published date: 15 December 2021

Identifiers

Local EPrints ID: 452788
URI: http://eprints.soton.ac.uk/id/eprint/452788
ISSN: 0195-668X
PURE UUID: c7c9a298-0e0e-455b-8086-3e018bc6d566
ORCID for Nicholas Harvey: ORCID iD orcid.org/0000-0002-8194-2512

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Date deposited: 20 Dec 2021 17:47
Last modified: 17 Mar 2024 02:58

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Contributors

Author: Zahra Raisi-Estabragh
Author: Celeste McCracken
Author: Dorina Conurache
Author: Nay Aung
Author: Jose D. Vargas
Author: Hafiz Naderi
Author: Patricia B. Munroe
Author: Stefan Neubauer
Author: Nicholas Harvey ORCID iD
Author: Steffen E. Petersen

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