Imaging Protocol, Feasibility, and Reproducibility of Cardiovascular Phenotyping in a Large Tri-Ethnic Population-Based Study of Older People: The Southall and Brent Revisited (SABRE) Study Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.3389/fcvm.2020.591946
Background: People of South Asian and African Caribbean ethnicities living in UK have a high risk of cardiometabolic disease. Limited data exist regarding detailed cardiometabolic phenotyping in this population. Methods enabling this are widely available, but the practical aspects of undertaking such studies in large and diverse samples are seldom reported. Methods: The Southall and Brent Revisited (SABRE) study is the UK's largest tri-ethnic longitudinal cohort. Over 1,400 surviving participants (58–85 years) attended the 2nd study visit (2008–2011); during which, comprehensive cardiovascular phenotyping, including 3D-echocardiography [3D-speckle-tracking (3D-STE)], computed tomography, coronary artery calcium scoring, pulse wave velocity, central blood pressure, carotid artery ultrasound, and retinal imaging, were performed. We describe the methods used with the aim of providing a guide to their feasibility and reproducibility in a large tri-ethnic population-based study of older people. Results: Conventional echocardiography and all vascular measurements showed high feasibility (>90% analyzable of clinic attendees), but 3D-echocardiography (3DE) and 3D-STE were less feasible (71% 3DE acquisition feasibility and 38% 3D-STE feasibility of clinic attendees). 3D-STE feasibility differed by ethnicity, being lowest in South Asian participants and highest in African Caribbean participants ( p < 0.0001). Similar trends were observed in men ( P < 0.0001) and women ( P = 0.005); however, in South Asians, there were more women with unreadable 3D-images compared to men (67 vs. 58%). Intra- and inter-observer variabilities were excellent for most of conventional and advanced echocardiographic measures. The test-retest reproducibility was good-excellent and fair-good for conventional and advanced echocardiographic measures, respectively, but lower than when re-reading the same images. All vascular measures demonstrated excellent or fair-good reproducibility. Conclusions: We describe the feasibility and reproducibility of detailed cardiovascular phenotyping in an ethnically diverse population. The data collected will lead to a better understanding of why people of South Asian and African Caribbean ancestry are at elevated risk of cardiometabolic diseases.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fcvm.2020.591946
- OA Status
- gold
- Cited By
- 10
- References
- 48
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3098597969
Raw OpenAlex JSON
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https://openalex.org/W3098597969Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fcvm.2020.591946Digital Object Identifier
- Title
-
Imaging Protocol, Feasibility, and Reproducibility of Cardiovascular Phenotyping in a Large Tri-Ethnic Population-Based Study of Older People: The Southall and Brent Revisited (SABRE) StudyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-11-13Full publication date if available
- Authors
-
Lamia Al Saikhan, Muath Alobaida, Anish Bhuva, Nish Chaturvedi, John Heasman, Alun D. Hughes, Siana Jones, Sophie V. Eastwood, Charlotte Manisty, Katherine March, Arjun K. Ghosh, Jamil Mayet, Ayodipupo Sikiru Oguntade, Therese Tillin, Suzanne Williams, Andrew Wright, Chloe ParkList of authors in order
- Landing page
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https://doi.org/10.3389/fcvm.2020.591946Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.3389/fcvm.2020.591946Direct OA link when available
- Concepts
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Medicine, Ethnic group, Population, Cohort, Coronary artery disease, Reproducibility, Carotid arteries, Internal medicine, Cardiology, Environmental health, Statistics, Mathematics, Anthropology, SociologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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10Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 1, 2023: 4, 2022: 3Per-year citation counts (last 5 years)
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48Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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