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Assadi H, Matthews G, Zhao X, Li R, Alabed S, Grafton-Clarke C, Mehmood Z, Kasmai B, Limbachia V, Gosling R, Yashoda GK, Halliday I, Swoboda P, Ripley DP, Zhong L, Vassiliou VS, Swift AJ, Geest RJVD, Garg P. Cardiac MR modelling of systolic and diastolic blood pressure. Open Heart 2023; 10:e002484. [PMID: 38114194 DOI: 10.1136/openhrt-2023-002484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 11/01/2023] [Indexed: 12/21/2023] Open
Abstract
AIMS Blood pressure (BP) is a crucial factor in cardiovascular health and can affect cardiac imaging assessments. However, standard outpatient cardiovascular MR (CMR) imaging procedures do not typically include BP measurements prior to image acquisition. This study proposes that brachial systolic BP (SBP) and diastolic BP (DBP) can be modelled using patient characteristics and CMR data. METHODS In this multicentre study, 57 patients from the PREFER-CMR registry and 163 patients from other registries were used as the derivation cohort. All subjects had their brachial SBP and DBP measured using a sphygmomanometer. Multivariate linear regression analysis was applied to predict brachial BP. The model was subsequently validated in a cohort of 169 healthy individuals. RESULTS Age and left ventricular ejection fraction were associated with SBP. Aortic forward flow, body surface area and left ventricular mass index were associated with DBP. When applied to the validation cohort, the correlation coefficient between CMR-derived SBP and brachial SBP was (r=0.16, 95% CI 0.011 to 0.305, p=0.03), and CMR-derived DBP and brachial DBP was (r=0.27, 95% CI 0.122 to 0.403, p=0.0004). The area under the curve (AUC) for CMR-derived SBP to predict SBP>120 mmHg was 0.59, p=0.038. Moreover, CMR-derived DBP to predict DBP>80 mmHg had an AUC of 0.64, p=0.002. CONCLUSION CMR-derived SBP and DBP models can estimate brachial SBP and DBP. Such models may allow efficient prospective collection, as well as retrospective estimation of BP, which should be incorporated into assessments due to its critical effect on load-dependent parameters.
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Affiliation(s)
- Hosamadin Assadi
- Department of Cardiovascular and Metabolic Health, University of East Anglia, Norwich, UK
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, UK
| | - Gareth Matthews
- Department of Cardiovascular and Metabolic Health, University of East Anglia, Norwich, UK
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, UK
| | - Xiaodan Zhao
- National Heart Research Institute, National Heart Centre, Singapore
| | - Rui Li
- Department of Cardiovascular and Metabolic Health, University of East Anglia, Norwich, UK
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, UK
| | - Samer Alabed
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Ciaran Grafton-Clarke
- Department of Cardiovascular and Metabolic Health, University of East Anglia, Norwich, UK
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, UK
| | - Zia Mehmood
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, UK
| | - Bahman Kasmai
- Department of Cardiovascular and Metabolic Health, University of East Anglia, Norwich, UK
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, UK
| | - Vaishali Limbachia
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, UK
| | - Rebecca Gosling
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | | | - Ian Halliday
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | | | - David Paul Ripley
- Department of Cardiology, Northumbria Specialist Emergency Care Hospital, Cramlington, UK
| | - Liang Zhong
- National Heart Research Institute, National Heart Centre, Singapore
- Cardiovascular Science Academic Program, Duke-NUS Medical School, Singapore
| | - Vassilios S Vassiliou
- Department of Cardiovascular and Metabolic Health, University of East Anglia, Norwich, UK
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, UK
| | - Andrew J Swift
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Rob J van der Geest
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Pankaj Garg
- Department of Cardiovascular and Metabolic Health, University of East Anglia, Norwich, UK
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, UK
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