Associations between interarm differences in blood pressure and cardiovascular disease outcomes: protocol for an individual patient data meta-analysis and development of a prognostic algorithm
- PMID: 28674148
- PMCID: PMC5734572
- DOI: 10.1136/bmjopen-2017-016844
Associations between interarm differences in blood pressure and cardiovascular disease outcomes: protocol for an individual patient data meta-analysis and development of a prognostic algorithm
Abstract
Introduction: Individual cohort studies in various populations and study-level meta-analyses have shown interarm differences (IAD) in blood pressure to be associated with increased cardiovascular and all-cause mortality. However, key questions remain, such as follows: (1) What is the additional contribution of IAD to prognostic risk estimation for cardiovascular and all-cause mortality? (2) What is the minimum cut-off value for IAD that defines elevated risk? (3) Is there a prognostic value of IAD and do different methods of IAD measurement impact on the prognostic value of IAD? We aim to address these questions by conducting an individual patient data (IPD) meta-analysis.
Methods and analysis: This study will identify prospective cohort studies that measured blood pressure in both arms during recruitment, and invite authors to contribute IPD datasets to this collaboration. All patient data received will be combined into a single dataset. Using one-stage meta-analysis, we will undertake multivariable time-to-event regression modelling, with the aim of developing a new prognostic model for cardiovascular risk estimation that includes IAD. We will explore variations in risk contribution of IAD across predefined population subgroups (eg, hypertensives, diabetics), establish the lower limit of IAD that is associated with additional cardiovascular risk and assess the impact of different methods of IAD measurement on risk prediction.
Ethics and dissemination: This study will not include any patient identifiable data. Included datasets will already have ethical approval and consent from their sponsors. Findings will be presented to international conferences and published in peer reviewed journals, and we have a comprehensive dissemination strategy in place with integrated patient and public involvement.
Prospero registration number: CRD42015031227.
Keywords: Hypertension; Ischaemic heart disease; PRIMARY CARE; STROKE MEDICINE; VASCULAR MEDICINE.
© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
Conflict of interest statement
Competing interests: None declared.
Similar articles
-
Associations Between Systolic Interarm Differences in Blood Pressure and Cardiovascular Disease Outcomes and Mortality: Individual Participant Data Meta-Analysis, Development and Validation of a Prognostic Algorithm: The INTERPRESS-IPD Collaboration.Hypertension. 2021 Feb;77(2):650-661. doi: 10.1161/HYPERTENSIONAHA.120.15997. Epub 2020 Dec 21. Hypertension. 2021. PMID: 33342236 Free PMC article.
-
Arm Based on LEg blood pressures (ABLE-BP): can systolic leg blood pressure measurements predict systolic brachial blood pressure? Protocol for an individual participant data meta-analysis from the INTERPRESS-IPD Collaboration.BMJ Open. 2021 Mar 19;11(3):e040481. doi: 10.1136/bmjopen-2020-040481. BMJ Open. 2021. PMID: 33741659 Free PMC article.
-
Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.Cochrane Database Syst Rev. 2022 Feb 1;2(2022):CD014217. doi: 10.1002/14651858.CD014217. Cochrane Database Syst Rev. 2022. PMID: 36321557 Free PMC article.
-
Development and validation of optimal cut-off value in inter-arm systolic blood pressure difference for prediction of cardiovascular events.J Cardiol. 2018 Jan;71(1):24-30. doi: 10.1016/j.jjcc.2017.06.010. Epub 2017 Aug 19. J Cardiol. 2018. PMID: 28830651
-
[Interarm blood pressure difference: Concordance between two methods of automatic simultaneous measurement and between visits reproducibility].Aten Primaria. 2022 Dec;54(12):102514. doi: 10.1016/j.aprim.2022.102514. Epub 2022 Nov 21. Aten Primaria. 2022. PMID: 36423568 Free PMC article. Review. Spanish.
Cited by
-
Associations Between Systolic Interarm Differences in Blood Pressure and Cardiovascular Disease Outcomes and Mortality: Individual Participant Data Meta-Analysis, Development and Validation of a Prognostic Algorithm: The INTERPRESS-IPD Collaboration.Hypertension. 2021 Feb;77(2):650-661. doi: 10.1161/HYPERTENSIONAHA.120.15997. Epub 2020 Dec 21. Hypertension. 2021. PMID: 33342236 Free PMC article.
-
Arm Based on LEg blood pressures (ABLE-BP): can systolic ankle blood pressure measurements predict systolic arm blood pressure? An individual participant data meta-analysis from the INTERPRESS-IPD Collaboration.BMJ Open. 2025 Jun 11;15(6):e094389. doi: 10.1136/bmjopen-2024-094389. BMJ Open. 2025. PMID: 40500230 Free PMC article.
-
Arm Based on LEg blood pressures (ABLE-BP): can systolic leg blood pressure measurements predict systolic brachial blood pressure? Protocol for an individual participant data meta-analysis from the INTERPRESS-IPD Collaboration.BMJ Open. 2021 Mar 19;11(3):e040481. doi: 10.1136/bmjopen-2020-040481. BMJ Open. 2021. PMID: 33741659 Free PMC article.
-
Systolic inter-arm blood pressure difference and risk of cognitive decline in older people: a cohort study.Br J Gen Pract. 2020 Jun 25;70(696):e472-e480. doi: 10.3399/bjgp20X709589. Print 2020 Jul. Br J Gen Pract. 2020. PMID: 32366532 Free PMC article.
References
-
- Naghavi M, Wang HD, Lozano R, et al. . Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: a systematic analysis for the global burden of disease study 2013. Lancet 2015;385:117–71. 10.1016/S0140-6736(14)61682-2 - DOI - PMC - PubMed
-
- Lim SS, Vos T, Flaxman AD, et al. . A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the global burden of disease study 2010. Lancet 2012;380:2224–60. 10.1016/S0140-6736(12)61766-8 - DOI - PMC - PubMed
-
- British Medical Association, NHS Employers, NHS England. Guidance for GMS contract 2016/17 2016/17 General Medical Services (GMS) contract Quality and Outcomes Framework (QOF). 2016.
-
- National Centre for Social Research. Department of Epidemiology & Public Health, UCL Medical School, NHS Information Centre for health and social care. Health Survey for England: 2010. 2012.
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources