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Copland E, Hirst J, Mi E, Patone M, Chen D, Coupland C, Hippisley-Cox J. Effectiveness and safety of COVID-19 vaccination in people with blood cancer. Eur J Cancer 2024; 201:113603. [PMID: 38359496 DOI: 10.1016/j.ejca.2024.113603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 01/31/2024] [Accepted: 02/01/2024] [Indexed: 02/17/2024]
Abstract
BACKGROUND People with blood cancer have increased risk of severe COVID-19 outcomes and poor response to vaccination. We assessed the safety and effectiveness of COVID-19 vaccines in this vulnerable group compared to the general population. METHODS Individuals aged ≥12 years as of 1st December 2020 in the QResearch primary care database were included. We assessed adjusted COVID-19 vaccine effectiveness (aVE) against COVID-19-related hospitalisation and death in people with blood cancer using a nested matched case-control study. Using the self-controlled case series methodology, we compared the risk of 56 pre-specified adverse events within 1-28 days of a first, second or third COVID-19 vaccine dose in people with and without blood cancer. FINDINGS The cohort comprised 12,274,948 individuals, of whom 81,793 had blood cancer. COVID-19 vaccines were protective against COVID-19-related hospitalisation and death in people with blood cancer, although they were less effective, particularly against COVID-19-related hospitalisation, compared to the general population. In the blood cancer population, aVE against COVID-19-related hospitalisation was 64% (95% confidence interval [CI] 48%-75%) 14-41 days after a third dose, compared to 80% (95% CI 78%-81%) in the general population. Against COVID-19-related mortality, aVE was >80% in people with blood cancer 14-41 days after a second or third dose. We found no significant difference in risk of adverse events 1-28 days after any vaccine dose between people with and without blood cancer. INTERPRETATION Our study provides robust evidence which supports the use of COVID-19 vaccinations for people with blood cancer.
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Affiliation(s)
- Emma Copland
- Nuffield Department of Primary Care Health Science, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford OX2 6GG, UK
| | - Jennifer Hirst
- Nuffield Department of Primary Care Health Science, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford OX2 6GG, UK
| | - Emma Mi
- Nuffield Department of Primary Care Health Science, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford OX2 6GG, UK
| | - Martina Patone
- Nuffield Department of Primary Care Health Science, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford OX2 6GG, UK
| | - Daniel Chen
- Nuffield Department of Primary Care Health Science, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford OX2 6GG, UK
| | - Carol Coupland
- Nuffield Department of Primary Care Health Science, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford OX2 6GG, UK; Lifespan and Population Health Unit, School of Medicine, University of Nottingham, Nottingham NG7 2UH, UK
| | - Julia Hippisley-Cox
- Nuffield Department of Primary Care Health Science, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford OX2 6GG, UK.
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Bidel Z, Nazarzadeh M, Canoy D, Copland E, Gerdts E, Woodward M, Gupta AK, Reid CM, Cushman WC, Wachtell K, Teo K, Davis BR, Chalmers J, Pepine CJ, Rahimi K. Sex-Specific Effects of Blood Pressure Lowering Pharmacotherapy for the Prevention of Cardiovascular Disease: An Individual Participant-Level Data Meta-Analysis. Hypertension 2023; 80:2293-2302. [PMID: 37485657 DOI: 10.1161/hypertensionaha.123.21496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 07/05/2023] [Indexed: 07/25/2023]
Abstract
BACKGROUND Whether the relative effects of blood pressure (BP)-lowering treatment on cardiovascular outcomes differ by sex, particularly when BP is not substantially elevated, has been uncertain. METHODS We conducted an individual participant-level data meta-analysis of randomized controlled trials of pharmacological BP lowering. We pooled the data and categorized participants by sex, systolic BP categories in 10-mm Hg increments from <120 to ≥170 mm Hg, and age categories spanning from <55 to ≥85 years. We used fixed-effect one-stage individual participant-level data meta-analyses and applied Cox proportional hazard models, stratified by trial, to analyze the data. RESULTS We included data from 51 randomized controlled trials involving 358 636 (42% women) participants. Over 4.2 years of median follow-up, a 5-mm Hg reduction in systolic BP decreased the risk of major cardiovascular events both in women and men (hazard ratio [95% CI], 0.92 [0.89-0.95] for women and 0.90 [0.88-0.93] for men; P for interaction, 1). There was no evidence for heterogeneity of relative treatment effects by sex for the major cardiovascular disease, its components, or across the different baseline BP categories (all P for interaction, ≥0.57). The effects in women and men were consistent across age categories and the types of antihypertensive medications (all P for interaction, ≥0.14). CONCLUSIONS The effects of BP reduction were similar in women and men across all BP and age categories at randomization and with no evidence to suggest that drug classes had differing effects by sex. This study does not substantiate sex-based differences in BP-lowering treatment.
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Affiliation(s)
- Zeinab Bidel
- Deep Medicine, Oxford Martin School (Z.B., M.N., D.C., E.C., K.R.), University of Oxford, United Kingdom
- Nuffield Department of Women's and Reproductive Health (Z.B., M.N., D.C., E.C., K.R.), University of Oxford, United Kingdom
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, United Kingdom (Z.B., D.C., E.C., K.R.)
| | - Milad Nazarzadeh
- Deep Medicine, Oxford Martin School (Z.B., M.N., D.C., E.C., K.R.), University of Oxford, United Kingdom
- Nuffield Department of Women's and Reproductive Health (Z.B., M.N., D.C., E.C., K.R.), University of Oxford, United Kingdom
| | - Dexter Canoy
- Deep Medicine, Oxford Martin School (Z.B., M.N., D.C., E.C., K.R.), University of Oxford, United Kingdom
- Nuffield Department of Women's and Reproductive Health (Z.B., M.N., D.C., E.C., K.R.), University of Oxford, United Kingdom
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, United Kingdom (Z.B., D.C., E.C., K.R.)
| | - Emma Copland
- Deep Medicine, Oxford Martin School (Z.B., M.N., D.C., E.C., K.R.), University of Oxford, United Kingdom
- Nuffield Department of Women's and Reproductive Health (Z.B., M.N., D.C., E.C., K.R.), University of Oxford, United Kingdom
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, United Kingdom (Z.B., D.C., E.C., K.R.)
| | - Eva Gerdts
- Department of Clinical Science, Centre for Research on Cardiac Disease in Women, University of Bergen, Norway (E.G.)
| | - Mark Woodward
- The George Institute for Global Health, School of Public Health, Imperial College London, United Kingdom (M.W.)
- The George Institute for Global Health, University of New South Wales, Sydney, Australia (M.W., J.C.)
| | - Ajay K Gupta
- William Harvey Research Institute, Queen Mary University of London, United Kingdom (A.K.G.)
| | - Christopher M Reid
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia (C.M.R.)
| | - William C Cushman
- Department of Preventive Medicine, The University of Tennessee Health Science Center, Memphis (W.C.C.)
| | - Kristian Wachtell
- Department of Cardiology, NewYork-Presbyterian/Weill Cornell Medical Center (K.W.)
| | - Koon Teo
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Ontario, Canada (K.T.)
| | - Barry R Davis
- The University of Texas School of Public Health, Houston (B.R.D.)
| | - John Chalmers
- The George Institute for Global Health, University of New South Wales, Sydney, Australia (M.W., J.C.)
| | - Carl J Pepine
- College of Medicine, University of Florida, Gainesville (C.J.P.)
| | - Kazem Rahimi
- Deep Medicine, Oxford Martin School (Z.B., M.N., D.C., E.C., K.R.), University of Oxford, United Kingdom
- Nuffield Department of Women's and Reproductive Health (Z.B., M.N., D.C., E.C., K.R.), University of Oxford, United Kingdom
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, United Kingdom (Z.B., D.C., E.C., K.R.)
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Wamil M, Hassaine A, Rao S, Li Y, Mamouei M, Canoy D, Nazarzadeh M, Bidel Z, Copland E, Rahimi K, Salimi-Khorshidi G. Stratification of diabetes in the context of comorbidities, using representation learning and topological data analysis. Sci Rep 2023; 13:11478. [PMID: 37455284 PMCID: PMC10350454 DOI: 10.1038/s41598-023-38251-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 07/05/2023] [Indexed: 07/18/2023] Open
Abstract
Diabetes is a heterogenous, multimorbid disorder with a large variation in manifestations, trajectories, and outcomes. The aim of this study is to validate a novel machine learning method for the phenotyping of diabetes in the context of comorbidities. Data from 9967 multimorbid patients with a new diagnosis of diabetes were extracted from Clinical Practice Research Datalink. First, using BEHRT (a transformer-based deep learning architecture), the embeddings corresponding to diabetes were learned. Next, topological data analysis (TDA) was carried out to test how different areas in high-dimensional manifold correspond to different risk profiles. The following endpoints were considered when profiling risk trajectories: major adverse cardiovascular events (MACE), coronary artery disease (CAD), stroke (CVA), heart failure (HF), renal failure (RF), diabetic neuropathy, peripheral arterial disease, reduced visual acuity and all-cause mortality. Kaplan Meier curves were plotted for each derived phenotype. Finally, we tested the performance of an established risk prediction model (QRISK) by adding TDA-derived features. We identified four subgroups of patients with diabetes and divergent comorbidity patterns differing in their risk of future cardiovascular, renal, and other microvascular outcomes. Phenotype 1 (young with chronic inflammatory conditions) and phenotype 2 (young with CAD) included relatively younger patients with diabetes compared to phenotypes 3 (older with hypertension and renal disease) and 4 (older with previous CVA), and those subgroups had a higher frequency of pre-existing cardio-renal diseases. Within ten years of follow-up, 2592 patients (26%) experienced MACE, 2515 patients (25%) died, and 2020 patients (20%) suffered RF. QRISK3 model's AUC was augmented from 67.26% (CI 67.25-67.28%) to 67.67% (CI 67.66-67.69%) by adding specific TDA-derived phenotype and the distances to both extremities of the TDA graph improving its performance in the prediction of CV outcomes. We confirmed the importance of accounting for multimorbidity when risk stratifying heterogenous cohort of patients with new diagnosis of diabetes. Our unsupervised machine learning method improved the prediction of clinical outcomes.
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Affiliation(s)
- Malgorzata Wamil
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK.
- Mayo Clinic Healthcare, 15 Portland Place, London, UK.
| | - Abdelaali Hassaine
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK
- Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK
| | - Shishir Rao
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK
- Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK
| | - Yikuan Li
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK
- Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK
| | - Mohammad Mamouei
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK
- Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK
| | - Dexter Canoy
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK
- Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK
| | - Milad Nazarzadeh
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK
- Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK
| | - Zeinab Bidel
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK
- Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK
| | - Emma Copland
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK
- Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK
| | - Kazem Rahimi
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK
- Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK
| | - Gholamreza Salimi-Khorshidi
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK
- Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK
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Hirst J, Mi E, Copland E, Patone M, Coupland C, Hippisley-Cox J. Uptake of COVID-19 vaccination in people with blood cancer: Population-level cohort study of 12 million patients in England. Eur J Cancer 2023; 183:162-170. [PMID: 36870190 PMCID: PMC9916184 DOI: 10.1016/j.ejca.2023.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 02/02/2023] [Indexed: 02/12/2023]
Abstract
BACKGROUND People with blood cancers have increased risk of severe outcomes from COVID-19 and were prioritised for vaccination. METHODS Individuals in the QResearch database aged 12 years and above on 1st December 2020 were included in the analysis. Kaplan-Meier analysis described time to COVID-19 vaccine uptake in people with blood cancer and other high-risk disorders. Cox regression was used to identify factors associated with vaccine uptake in people with blood cancer. RESULTS The analysis included 12,274,948 individuals, of whom 97,707 had a blood cancer diagnosis. 92% of people with blood cancer received at least one dose of vaccine, compared to 80% of the general population, but there was lower uptake of each subsequent vaccine dose (31% for fourth dose). Vaccine uptake decreased with social deprivation (HR 0.72, 95% CI 0.70, 0.74 for most deprived versus most affluent quintile for first vaccine). Compared with White groups, uptake of all vaccine doses was significantly lower in people of Pakistani and Black ethnicity, and more people in these groups remain unvaccinated. CONCLUSIONS COVID-19 vaccine uptake declines following second dose and there are ethnic and social disparities in uptake in blood cancer populations. Enhanced communication of benefits of vaccination to these groups is needed.
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Affiliation(s)
- Jennifer Hirst
- Nuffield Department of Primary Care Health Science, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK.
| | - Emma Mi
- Nuffield Department of Primary Care Health Science, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK
| | - Emma Copland
- Nuffield Department of Primary Care Health Science, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK
| | - Martina Patone
- Nuffield Department of Primary Care Health Science, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK
| | - Carol Coupland
- Nuffield Department of Primary Care Health Science, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK; Lifespan and Population Health Unit, School of Medicine, University of Nottingham, Nottingham, NG7 2UH, UK
| | - Julia Hippisley-Cox
- Nuffield Department of Primary Care Health Science, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK
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Nazarzadeh M, Bidel Z, Canoy D, Copland E, Bennett DA, Dehghan A, Davey Smith G, Holman RR, Woodward M, Gupta A, Adler AI, Wamil M, Sattar N, Cushman WC, McManus RJ, Teo K, Davis BR, Chalmers J, Pepine CJ, Rahimi K. Blood pressure-lowering treatment for prevention of major cardiovascular diseases in people with and without type 2 diabetes: an individual participant-level data meta-analysis. Lancet Diabetes Endocrinol 2022; 10:645-654. [PMID: 35878651 PMCID: PMC9622419 DOI: 10.1016/s2213-8587(22)00172-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 06/05/2022] [Accepted: 06/07/2022] [Indexed: 02/06/2023]
Abstract
BACKGROUND Controversy exists as to whether the threshold for blood pressure-lowering treatment should differ between people with and without type 2 diabetes. We aimed to investigate the effects of blood pressure-lowering treatment on the risk of major cardiovascular events by type 2 diabetes status, as well as by baseline levels of systolic blood pressure. METHODS We conducted a one-stage individual participant-level data meta-analysis of major randomised controlled trials using the Blood Pressure Lowering Treatment Trialists' Collaboration dataset. Trials with information on type 2 diabetes status at baseline were eligible if they compared blood pressure-lowering medications versus placebo or other classes of blood pressure-lowering medications, or an intensive versus a standard blood pressure-lowering strategy, and reported at least 1000 persons-years of follow-up in each group. Trials exclusively on participants with heart failure or with short-term therapies and acute myocardial infarction or other acute settings were excluded. We expressed treatment effect per 5 mm Hg reduction in systolic blood pressure on the risk of developing a major cardiovascular event as the primary outcome, defined as the first occurrence of fatal or non-fatal stroke or cerebrovascular disease, fatal or non-fatal ischaemic heart disease, or heart failure causing death or requiring hospitalisation. Cox proportional hazard models, stratified by trial, were used to estimate hazard ratios (HRs) separately by type 2 diabetes status at baseline, with further stratification by baseline categories of systolic blood pressure (in 10 mm Hg increments from <120 mm Hg to ≥170 mm Hg). To estimate absolute risk reductions, we used a Poisson regression model over the follow-up duration. The effect of each of the five major blood pressure-lowering drug classes, including angiotensin-converting enzyme inhibitors, angiotensin II receptor blockers, β blockers, calcium channel blockers, and thiazide diuretics, was estimated using a network meta-analysis framework. This study is registered with PROSPERO, CRD42018099283. FINDINGS We included data from 51 randomised clinical trials published between 1981 and 2014 involving 358 533 participants (58% men), among whom 103 325 (29%) had known type 2 diabetes at baseline. The baseline mean systolic/diastolic blood pressure of those with and without type 2 diabetes was 149/84 mm Hg (SD 19/11) and 153/88 mm Hg (SD 21/12), respectively. Over 4·2 years median follow-up (IQR 3·0-5·0), a 5 mm Hg reduction in systolic blood pressure decreased the risk of major cardiovascular events in both groups, but with a weaker relative treatment effect in participants with type 2 diabetes (HR 0·94 [95% CI 0·91-0·98]) compared with those without type 2 diabetes (0·89 [0·87-0·92]; pinteraction=0·0013). However, absolute risk reductions did not differ substantially between people with and without type 2 diabetes because of the higher absolute cardiovascular risk among participants with type 2 diabetes. We found no reliable evidence for heterogeneity of treatment effects by baseline systolic blood pressure in either group. In keeping with the primary findings, analysis using stratified network meta-analysis showed no evidence that relative treatment effects differed substantially between participants with type 2 diabetes and those without for any of the drug classes investigated. INTERPRETATION Although the relative beneficial effects of blood pressure reduction on major cardiovascular events were weaker in participants with type 2 diabetes than in those without, absolute effects were similar. The difference in relative risk reduction was not related to the baseline blood pressure or allocation to different drug classes. Therefore, the adoption of differential blood pressure thresholds, intensities of blood pressure lowering, or drug classes used in people with and without type 2 diabetes is not warranted. FUNDING British Heart Foundation, UK National Institute for Health Research, and Oxford Martin School.
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Affiliation(s)
- Milad Nazarzadeh
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK; Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK
| | - Zeinab Bidel
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK; Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK
| | - Dexter Canoy
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK; Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Emma Copland
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK; Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK
| | - Derrick A Bennett
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Abbas Dehghan
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, Norfolk Place, London, UK
| | | | - Rury R Holman
- Diabetes Trials Unit, Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Mark Woodward
- The George Institute for Global Health, School of Public Health, Imperial College London, London, UK; The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
| | - Ajay Gupta
- William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Amanda I Adler
- Diabetes Trials Unit, Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Malgorzata Wamil
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - William C Cushman
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Richard J McManus
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Koon Teo
- Population Health Research Institute, McMaster University, Hamilton, ON, Canada
| | - Barry R Davis
- University of Texas School of Public Health, Houston, TX, USA
| | - John Chalmers
- The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
| | - Carl J Pepine
- Department of Medicine, University of Florida, Gainesville, FL, USA
| | - Kazem Rahimi
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK; Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
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Canoy D, Nazarzadeh M, Copland E, Bidel Z, Rao S, Li Y, Rahimi K. How Much Lowering of Blood Pressure Is Required to Prevent Cardiovascular Disease in Patients With and Without Previous Cardiovascular Disease? Curr Cardiol Rep 2022; 24:851-860. [PMID: 35524880 PMCID: PMC9288358 DOI: 10.1007/s11886-022-01706-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/19/2022] [Indexed: 11/12/2022]
Abstract
PURPOSE OF REVIEW To review the recent large-scale randomised evidence on pharmacologic reduction in blood pressure for the primary and secondary prevention of cardiovascular disease. RECENT FINDINGS Based on findings of the meta-analysis of individual participant-level data from 48 randomised clinical trials and involving 344,716 participants with mean age of 65 years, the relative reduction in the risk of developing major cardiovascular events was proportional to the magnitude of achieved reduction in blood pressure. For each 5-mmHg reduction in systolic blood pressure, the risk of developing cardiovascular events fell by 10% (hazard ratio [HR] (95% confidence interval [CI], 0.90 [0.88 to 0.92]). When participants were stratified by their history of cardiovascular disease, the HRs (95% CI) in those with and without previous cardiovascular disease were 0.89 (0.86 to 0.92) and 0.91 (0.89 to 0.94), respectively, with no significant heterogeneity in these effects (adjusted P for interaction = 1.0). When these patient groups were further stratified by their baseline systolic blood pressure in increments of 10 mmHg from < 120 to ≥ 170 mmHg, there was no significant heterogeneity in the relative risk reduction across these categories in people with or without previous cardiovascular disease (adjusted P for interaction were 1.00 and 0.28, respectively). Pharmacologic lowering of blood pressure was effective in preventing major cardiovascular disease events both in people with or without previous cardiovascular disease, which was not modified by their baseline blood pressure level. Treatment effects were shown to be proportional to the intensity of blood pressure reduction, but even modest blood pressure reduction, on average, can lead to meaningful gains in the prevention of incident or recurrent cardiovascular disease.
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Affiliation(s)
- Dexter Canoy
- Deep Medicine, Nuffield Department of Women’s and Reproductive Health, University of Oxford, Hayes House 1F, 75 George St, Oxford, OX1 2BQ UK
- National Institutes of Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Milad Nazarzadeh
- Deep Medicine, Nuffield Department of Women’s and Reproductive Health, University of Oxford, Hayes House 1F, 75 George St, Oxford, OX1 2BQ UK
| | - Emma Copland
- Deep Medicine, Nuffield Department of Women’s and Reproductive Health, University of Oxford, Hayes House 1F, 75 George St, Oxford, OX1 2BQ UK
- National Institutes of Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Zeinab Bidel
- Deep Medicine, Nuffield Department of Women’s and Reproductive Health, University of Oxford, Hayes House 1F, 75 George St, Oxford, OX1 2BQ UK
- National Institutes of Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Shihir Rao
- Deep Medicine, Nuffield Department of Women’s and Reproductive Health, University of Oxford, Hayes House 1F, 75 George St, Oxford, OX1 2BQ UK
| | - Yikuan Li
- Deep Medicine, Nuffield Department of Women’s and Reproductive Health, University of Oxford, Hayes House 1F, 75 George St, Oxford, OX1 2BQ UK
| | - Kazem Rahimi
- Deep Medicine, Nuffield Department of Women’s and Reproductive Health, University of Oxford, Hayes House 1F, 75 George St, Oxford, OX1 2BQ UK
- National Institutes of Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
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Canoy D, Copland E, Nazarzadeh M, Ramakrishnan R, Pinho-Gomes AC, Salam A, Dwyer JP, Farzadfar F, Sundström J, Woodward M, Davis BR, Rahimi K. Antihypertensive drug effects on long-term blood pressure: an individual-level data meta-analysis of randomised clinical trials. Heart 2022; 108:1281-1289. [PMID: 35058294 PMCID: PMC9340038 DOI: 10.1136/heartjnl-2021-320171] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 11/30/2021] [Indexed: 12/12/2022]
Abstract
ObjectiveEvidence from randomised trials of pharmacological treatments on long-term blood pressure (BP) reduction is limited. We investigated the antihypertensive drug effects on BP over time and across different participant characteristics.MethodsWe conducted an individual patient-level data meta-analysis of 52 large-scale randomised clinical trials in the Blood Pressure Lowering Treatment Trialists’ Collaboration using mixed models to examine treatment effects on BP over 4 years of mean follow-up.ResultsThere were 363 684 participants (42% women), with baseline mean age=65 years and mean systolic/diastolic BP=152/87 mm Hg, and among whom 19% were current smokers, 49% had cardiovascular disease, 28% had diabetes and 69% were taking antihypertensive treatment at baseline. Drugs were effective in lowering BP showing maximal effect after 12 months and gradually attenuating towards later years. Based on measures taken ≥12 months postrandomisation, mean systolic/diastolic BP difference (95% CI) between more and less intense BP-lowering treatment was −11.1 (−11.3 to −10.8)/−5.6 (−5.7 to −5.4) mm Hg; between active treatment and placebo was −5.1 (−5.3 to −5.0)/−2.3 (−2.4 to −2.2) mm Hg; and between active and control arms for drug comparison trials was −1.4 (−1.5 to −1.3)/−0.6 (−0.7 to −0.6) mm Hg. BP reductions were observed across different baseline BP values and ages, and by sex, history of cardiovascular disease and diabetes and prior antihypertensive treatment use.ConclusionThese findings suggest that BP-lowering pharmacotherapy is effective in lowering BP, up to 4 years on average, in people with different characteristics. Appropriate treatment strategies are needed to sustain substantive long-term BP reductions.
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Affiliation(s)
- Dexter Canoy
- Deep Medicine, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, Oxfordshire, UK
| | - Emma Copland
- Deep Medicine, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
| | - Milad Nazarzadeh
- Deep Medicine, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
| | - Rema Ramakrishnan
- National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Ana-Catarina Pinho-Gomes
- School of Population Health and Environmental Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
- Department of Community Medicine, Centre for Health Technology and Services Research, University of Porto, Porto, Portugal
| | - Abdul Salam
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
- The George Institute for Global Health India, Hyderabad, India
| | - Jamie P Dwyer
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Farshad Farzadfar
- Endocrinology and Metabolism Institute, Tehran University of Medical Sciences, Tehran, Iran (the Islamic Republic of)
| | - Johan Sundström
- Department of Medical Sciences, Uppsala Universitet, Uppsala, Sweden
| | - Mark Woodward
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
- The George Institute for Global Health UK, Imperial College London, London, UK
| | - Barry R Davis
- Department of Biostatistics, University of Texas School of Public Health, Houston, Texas, USA
| | - Kazem Rahimi
- Deep Medicine, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, Oxfordshire, UK
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Nazarzadeh M, Bidel Z, Canoy D, Copland E, Wamil M, Majert J, Smith Byrne K, Sundström J, Teo K, Davis BR, Chalmers J, Pepine CJ, Dehghan A, Bennett DA, Smith GD, Rahimi K. Blood pressure lowering and risk of new-onset type 2 diabetes: an individual participant data meta-analysis. Lancet 2021; 398:1803-1810. [PMID: 34774144 PMCID: PMC8585669 DOI: 10.1016/s0140-6736(21)01920-6] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 07/18/2021] [Accepted: 08/17/2021] [Indexed: 01/12/2023]
Abstract
BACKGROUND Blood pressure lowering is an established strategy for preventing microvascular and macrovascular complications of diabetes, but its role in the prevention of diabetes itself is unclear. We aimed to examine this question using individual participant data from major randomised controlled trials. METHODS We performed a one-stage individual participant data meta-analysis, in which data were pooled to investigate the effect of blood pressure lowering per se on the risk of new-onset type 2 diabetes. An individual participant data network meta-analysis was used to investigate the differential effects of five major classes of antihypertensive drugs on the risk of new-onset type 2 diabetes. Overall, data from 22 studies conducted between 1973 and 2008, were obtained by the Blood Pressure Lowering Treatment Trialists' Collaboration (Oxford University, Oxford, UK). We included all primary and secondary prevention trials that used a specific class or classes of antihypertensive drugs versus placebo or other classes of blood pressure lowering medications that had at least 1000 persons-years of follow-up in each randomly allocated arm. Participants with a known diagnosis of diabetes at baseline and trials conducted in patients with prevalent diabetes were excluded. For the one-stage individual participant data meta-analysis we used stratified Cox proportional hazards model and for the individual participant data network meta-analysis we used logistic regression models to calculate the relative risk (RR) for drug class comparisons. FINDINGS 145 939 participants (88 500 [60·6%] men and 57 429 [39·4%] women) from 19 randomised controlled trials were included in the one-stage individual participant data meta-analysis. 22 trials were included in the individual participant data network meta-analysis. After a median follow-up of 4·5 years (IQR 2·0), 9883 participants were diagnosed with new-onset type 2 diabetes. Systolic blood pressure reduction by 5 mm Hg reduced the risk of type 2 diabetes across all trials by 11% (hazard ratio 0·89 [95% CI 0·84-0·95]). Investigation of the effects of five major classes of antihypertensive drugs showed that in comparison to placebo, angiotensin-converting enzyme inhibitors (RR 0·84 [95% 0·76-0·93]) and angiotensin II receptor blockers (RR 0·84 [0·76-0·92]) reduced the risk of new-onset type 2 diabetes; however, the use of β blockers (RR 1·48 [1·27-1·72]) and thiazide diuretics (RR 1·20 [1·07-1·35]) increased this risk, and no material effect was found for calcium channel blockers (RR 1·02 [0·92-1·13]). INTERPRETATION Blood pressure lowering is an effective strategy for the prevention of new-onset type 2 diabetes. Established pharmacological interventions, however, have qualitatively and quantitively different effects on diabetes, likely due to their differing off-target effects, with angiotensin-converting enzyme inhibitors and angiotensin II receptor blockers having the most favourable outcomes. This evidence supports the indication for selected classes of antihypertensive drugs for the prevention of diabetes, which could further refine the selection of drug choice according to an individual's clinical risk of diabetes. FUNDING British Heart Foundation, National Institute for Health Research, and Oxford Martin School.
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Affiliation(s)
- Milad Nazarzadeh
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK; Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK
| | - Zeinab Bidel
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK; Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK
| | - Dexter Canoy
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK; Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Emma Copland
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK; Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK
| | - Malgorzata Wamil
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK
| | - Jeannette Majert
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK; Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK
| | - Karl Smith Byrne
- International Agency for Research on Cancer/WHO, Genomic Epidemiology Branch, Lyon, France
| | - Johan Sundström
- Clinical Epidemiology Unit, Department of Medical Sciences, Uppsala University, Uppsala, Sweden; The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
| | - Koon Teo
- Population Health Research Institute, McMaster University, Hamilton, ON, Canada
| | - Barry R Davis
- The University of Texas School of Public Health, Houston, TX, USA
| | - John Chalmers
- The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
| | - Carl J Pepine
- Department of Medicine, University of Florida, Gainesville, FL, USA
| | - Abbas Dehghan
- Department of Biostatistics and Epidemiology, School of Public Health, Imperial College London, London, UK
| | - Derrick A Bennett
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | | | - Kazem Rahimi
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK; Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
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Affiliation(s)
- Kazem Rahimi
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford OX1 2BQ, UK; Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford OX1 2BQ, UK; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
| | - Zeinab Bidel
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford OX1 2BQ, UK; Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford OX1 2BQ, UK; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Milad Nazarzadeh
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford OX1 2BQ, UK; Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford OX1 2BQ, UK
| | - Emma Copland
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford OX1 2BQ, UK; Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford OX1 2BQ, UK; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Dexter Canoy
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford OX1 2BQ, UK; Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford OX1 2BQ, UK; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
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Rahimi K, Bidel Z, Nazarzadeh M, Copland E, Canoy D, Wamil M, Majert J, McManus R, Adler A, Agodoa L, Algra A, Asselbergs FW, Beckett NS, Berge E, Black H, Boersma E, Brouwers FPJ, Brown M, Brugts JJ, Bulpitt CJ, Byington RP, Cushman WC, Cutler J, Devereaux RB, Dwyer JP, Estacio R, Fagard R, Fox K, Fukui T, Gupta AK, Holman RR, Imai Y, Ishii M, Julius S, Kanno Y, Kjeldsen SE, Kostis J, Kuramoto K, Lanke J, Lewis E, Lewis JB, Lievre M, Lindholm LH, Lueders S, MacMahon S, Mancia G, Matsuzaki M, Mehlum MH, Nissen S, Ogawa H, Ogihara T, Ohkubo T, Palmer CR, Patel A, Pfeffer MA, Pitt B, Poulter NR, Rakugi H, Reboldi G, Reid C, Remuzzi G, Ruggenenti P, Saruta T, Schrader J, Schrier R, Sever P, Sleight P, Staessen JA, Suzuki H, Thijs L, Ueshima K, Umemoto S, van Gilst WH, Verdecchia P, Wachtell K, Whelton P, Wing L, Woodward M, Yui Y, Yusuf S, Zanchetti A, Zhang ZY, Anderson C, Baigent C, Brenner BM, Collins R, de Zeeuw D, Lubsen J, Malacco E, Neal B, Perkovic V, Rodgers A, Rothwell P, Salimi-Khorshidi G, Sundström J, Turnbull F, Viberti G, Wang J, Chalmers J, Davis BR, Pepine CJ, Teo KK. Age-stratified and blood-pressure-stratified effects of blood-pressure-lowering pharmacotherapy for the prevention of cardiovascular disease and death: an individual participant-level data meta-analysis. Lancet 2021; 398:1053-1064. [PMID: 34461040 PMCID: PMC8473559 DOI: 10.1016/s0140-6736(21)01921-8] [Citation(s) in RCA: 100] [Impact Index Per Article: 33.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 08/06/2021] [Accepted: 08/06/2021] [Indexed: 12/15/2022]
Abstract
BACKGROUND The effects of pharmacological blood-pressure-lowering on cardiovascular outcomes in individuals aged 70 years and older, particularly when blood pressure is not substantially increased, is uncertain. We compared the effects of blood-pressure-lowering treatment on the risk of major cardiovascular events in groups of patients stratified by age and blood pressure at baseline. METHODS We did a meta-analysis using individual participant-level data from randomised controlled trials of pharmacological blood-pressure-lowering versus placebo or other classes of blood-pressure-lowering medications, or between more versus less intensive treatment strategies, which had at least 1000 persons-years of follow-up in each treatment group. Participants with previous history of heart failure were excluded. Data were obtained from the Blood Pressure Lowering Treatment Triallists' Collaboration. We pooled the data and categorised participants into baseline age groups (<55 years, 55-64 years, 65-74 years, 75-84 years, and ≥85 years) and blood pressure categories (in 10 mm Hg increments from <120 mm Hg to ≥170 mm Hg systolic blood pressure and from <70 mm Hg to ≥110 mm Hg diastolic). We used a fixed effects one-stage approach and applied Cox proportional hazard models, stratified by trial, to analyse the data. The primary outcome was defined as either a composite of fatal or non-fatal stroke, fatal or non-fatal myocardial infarction or ischaemic heart disease, or heart failure causing death or requiring hospital admission. FINDINGS We included data from 358 707 participants from 51 randomised clinical trials. The age of participants at randomisation ranged from 21 years to 105 years (median 65 years [IQR 59-75]), with 42 960 (12·0%) participants younger than 55 years, 128 437 (35·8%) aged 55-64 years, 128 506 (35·8%) 65-74 years, 54 016 (15·1%) 75-84 years, and 4788 (1·3%) 85 years and older. The hazard ratios for the risk of major cardiovascular events per 5 mm Hg reduction in systolic blood pressure for each age group were 0·82 (95% CI 0·76-0·88) in individuals younger than 55 years, 0·91 (0·88-0·95) in those aged 55-64 years, 0·91 (0·88-0·95) in those aged 65-74 years, 0·91 (0·87-0·96) in those aged 75-84 years, and 0·99 (0·87-1·12) in those aged 85 years and older (adjusted pinteraction=0·050). Similar patterns of proportional risk reductions were observed for a 3 mm Hg reduction in diastolic blood pressure. Absolute risk reductions for major cardiovascular events varied by age and were larger in older groups (adjusted pinteraction=0·024). We did not find evidence for any clinically meaningful heterogeneity of relative treatment effects across different baseline blood pressure categories in any age group. INTERPRETATION Pharmacological blood pressure reduction is effective into old age, with no evidence that relative risk reductions for prevention of major cardiovascular events vary by systolic or diastolic blood pressure levels at randomisation, down to less than 120/70 mm Hg. Pharmacological blood pressure reduction should, therefore, be considered an important treatment option regardless of age, with the removal of age-related blood-pressure thresholds from international guidelines. FUNDING British Heart Foundation, National Institute of Health Research Oxford Biomedical Research Centre, Oxford Martin School.
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Pinho-Gomes AC, Azevedo L, Copland E, Canoy D, Nazarzadeh M, Ramakrishnan R, Berge E, Sundström J, Kotecha D, Woodward M, Teo K, Davis BR, Chalmers J, Pepine CJ, Rahimi K. Blood pressure-lowering treatment for the prevention of cardiovascular events in patients with atrial fibrillation: An individual participant data meta-analysis. PLoS Med 2021; 18:e1003599. [PMID: 34061831 PMCID: PMC8168843 DOI: 10.1371/journal.pmed.1003599] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 03/25/2021] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Randomised evidence on the efficacy of blood pressure (BP)-lowering treatment to reduce cardiovascular risk in patients with atrial fibrillation (AF) is limited. Therefore, this study aimed to compare the effects of BP-lowering drugs in patients with and without AF at baseline. METHODS AND FINDINGS The study was based on the resource provided by the Blood Pressure Lowering Treatment Trialists' Collaboration (BPLTTC), in which individual participant data (IPD) were extracted from trials with over 1,000 patient-years of follow-up in each arm, and that had randomly assigned patients to different classes of BP-lowering drugs, BP-lowering drugs versus placebo, or more versus less intensive BP-lowering regimens. For this study, only trials that had collected information on AF status at baseline were included. The effects of BP-lowering treatment on a composite endpoint of major cardiovascular events (stroke, ischaemic heart disease or heart failure) according to AF status at baseline were estimated using fixed-effect one-stage IPD meta-analyses based on Cox proportional hazards models stratified by trial. Furthermore, to assess whether the associations between the intensity of BP reduction and cardiovascular outcomes are similar in those with and without AF at baseline, we used a meta-regression. From the full BPLTTC database, 28 trials (145,653 participants) were excluded because AF status at baseline was uncertain or unavailable. A total of 22 trials were included with 188,570 patients, of whom 13,266 (7%) had AF at baseline. Risk of bias assessment showed that 20 trials were at low risk of bias and 2 trials at moderate risk. Meta-regression showed that relative risk reductions were proportional to trial-level intensity of BP lowering in patients with and without AF at baseline. Over 4.5 years of median follow-up, a 5-mm Hg systolic BP (SBP) reduction lowered the risk of major cardiovascular events both in patients with AF (hazard ratio [HR] 0.91, 95% confidence interval [CI] 0.83 to 1.00) and in patients without AF at baseline (HR 0.91, 95% CI 0.88 to 0.93), with no difference between subgroups. There was no evidence for heterogeneity of treatment effects by baseline SBP or drug class in patients with AF at baseline. The findings of this study need to be interpreted in light of its potential limitations, such as the limited number of trials, limitation in ascertaining AF cases due to the nature of the arrhythmia and measuring BP in patients with AF. CONCLUSIONS In this meta-analysis, we found that BP-lowering treatment reduces the risk of major cardiovascular events similarly in individuals with and without AF. Pharmacological BP lowering for prevention of cardiovascular events should be recommended in patients with AF.
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Affiliation(s)
| | - Luis Azevedo
- Department of Community Medicine, Information and Health Decision Sciences, Centre for Health Technology and Services Research, Faculty of Medicine, University of Porto, Porto, Portugal
| | - Emma Copland
- Deep Medicine, Nuffield Department of Women’s and Reproductive Health, University of Oxford, Oxford, United Kingdom
| | - Dexter Canoy
- Deep Medicine, Nuffield Department of Women’s and Reproductive Health, University of Oxford, Oxford, United Kingdom
- National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals National Health Service Foundation Trust, Oxford, United Kingdom
| | - Milad Nazarzadeh
- Deep Medicine, Nuffield Department of Women’s and Reproductive Health, University of Oxford, Oxford, United Kingdom
| | - Rema Ramakrishnan
- Deep Medicine, Nuffield Department of Women’s and Reproductive Health, University of Oxford, Oxford, United Kingdom
| | - Eivind Berge
- Department of Cardiology, Oslo University Hospital, Oslo, Norway
- Institute for Clinical Medicine, University of Tromsø, Norway
| | | | - Dipak Kotecha
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Mark Woodward
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
- The George Institute for Global Health, Department of Epidemiology and Biostatistics, Imperial College, London, United Kingdom
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Koon Teo
- Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada
| | - Barry R. Davis
- The University of Texas School of Public Health, Houston, Texas, United States of America
| | - John Chalmers
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Carl J. Pepine
- Department of Medicine, University of Florida, Gainesville, Florida, United States of America
| | - Kazem Rahimi
- Deep Medicine, Nuffield Department of Women’s and Reproductive Health, University of Oxford, Oxford, United Kingdom
- National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals National Health Service Foundation Trust, Oxford, United Kingdom
- * E-mail:
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Rahimi K, Bidel Z, Nazarzadeh M, Copland E, Canoy D, Ramakrishnan R, Pinho-Gomes AC, Woodward M, Adler A, Agodoa L, Algra A, Asselbergs FW, Beckett NS, Berge E, Black H, Brouwers FPJ, Brown M, Bulpitt CJ, Byington RP, Cushman WC, Cutler J, Devereaux RB, Dwyer J, Estacio R, Fagard R, Fox K, Fukui T, Gupta AK, Holman RR, Imai Y, Ishii M, Julius S, Kanno Y, Kjeldsen SE, Kostis J, Kuramoto K, Lanke J, Lewis E, Lewis JB, Lievre M, Lindholm LH, Lueders S, MacMahon S, Mancia G, Matsuzaki M, Mehlum MH, Nissen S, Ogawa H, Ogihara T, Ohkubo T, Palmer CR, Patel A, Pfeffer MA, Pitt B, Poulter NR, Rakugi H, Reboldi G, Reid C, Remuzzi G, Ruggenenti P, Saruta T, Schrader J, Schrier R, Sever P, Sleight P, Staessen JA, Suzuki H, Thijs L, Ueshima K, Umemoto S, van Gilst WH, Verdecchia P, Wachtell K, Whelton P, Wing L, Yui Y, Yusuf S, Zanchetti A, Zhang ZY, Anderson C, Baigent C, Brenner BM, Collins R, de Zeeuw D, Lubsen J, Malacco E, Neal B, Perkovic V, Rodgers A, Rothwell P, Salimi-Khorshidi G, Sundström J, Turnbull F, Viberti G, Wang J, Chalmers J, Teo KK, Pepine CJ, Davis BR. Pharmacological blood pressure lowering for primary and secondary prevention of cardiovascular disease across different levels of blood pressure: an individual participant-level data meta-analysis. Lancet 2021; 397:1625-1636. [PMID: 33933205 PMCID: PMC8102467 DOI: 10.1016/s0140-6736(21)00590-0] [Citation(s) in RCA: 348] [Impact Index Per Article: 116.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 02/28/2021] [Accepted: 03/02/2021] [Indexed: 12/15/2022]
Abstract
BACKGROUND The effects of pharmacological blood pressure lowering at normal or high-normal blood pressure ranges in people with or without pre-existing cardiovascular disease remains uncertain. We analysed individual participant data from randomised trials to investigate the effects of blood pressure lowering treatment on the risk of major cardiovascular events by baseline levels of systolic blood pressure. METHODS We did a meta-analysis of individual participant-level data from 48 randomised trials of pharmacological blood pressure lowering medications versus placebo or other classes of blood pressure-lowering medications, or between more versus less intensive treatment regimens, which had at least 1000 persons-years of follow-up in each group. Trials exclusively done with participants with heart failure or short-term interventions in participants with acute myocardial infarction or other acute settings were excluded. Data from 51 studies published between 1972 and 2013 were obtained by the Blood Pressure Lowering Treatment Trialists' Collaboration (Oxford University, Oxford, UK). We pooled the data to investigate the stratified effects of blood pressure-lowering treatment in participants with and without prevalent cardiovascular disease (ie, any reports of stroke, myocardial infarction, or ischaemic heart disease before randomisation), overall and across seven systolic blood pressure categories (ranging from <120 to ≥170 mm Hg). The primary outcome was a major cardiovascular event (defined as a composite of fatal and non-fatal stroke, fatal or non-fatal myocardial infarction or ischaemic heart disease, or heart failure causing death or requiring admission to hospital), analysed as per intention to treat. FINDINGS Data for 344 716 participants from 48 randomised clinical trials were available for this analysis. Pre-randomisation mean systolic/diastolic blood pressures were 146/84 mm Hg in participants with previous cardiovascular disease (n=157 728) and 157/89 mm Hg in participants without previous cardiovascular disease (n=186 988). There was substantial spread in participants' blood pressure at baseline, with 31 239 (19·8%) of participants with previous cardiovascular disease and 14 928 (8·0%) of individuals without previous cardiovascular disease having a systolic blood pressure of less than 130 mm Hg. The relative effects of blood pressure-lowering treatment were proportional to the intensity of systolic blood pressure reduction. After a median 4·15 years' follow-up (Q1-Q3 2·97-4·96), 42 324 participants (12·3%) had at least one major cardiovascular event. In participants without previous cardiovascular disease at baseline, the incidence rate for developing a major cardiovascular event per 1000 person-years was 31·9 (95% CI 31·3-32·5) in the comparator group and 25·9 (25·4-26·4) in the intervention group. In participants with previous cardiovascular disease at baseline, the corresponding rates were 39·7 (95% CI 39·0-40·5) and 36·0 (95% CI 35·3-36·7), in the comparator and intervention groups, respectively. Hazard ratios (HR) associated with a reduction of systolic blood pressure by 5 mm Hg for a major cardiovascular event were 0·91, 95% CI 0·89-0·94 for partipants without previous cardiovascular disease and 0·89, 0·86-0·92, for those with previous cardiovascular disease. In stratified analyses, there was no reliable evidence of heterogeneity of treatment effects on major cardiovascular events by baseline cardiovascular disease status or systolic blood pressure categories. INTERPRETATION In this large-scale analysis of randomised trials, a 5 mm Hg reduction of systolic blood pressure reduced the risk of major cardiovascular events by about 10%, irrespective of previous diagnoses of cardiovascular disease, and even at normal or high-normal blood pressure values. These findings suggest that a fixed degree of pharmacological blood pressure lowering is similarly effective for primary and secondary prevention of major cardiovascular disease, even at blood pressure levels currently not considered for treatment. Physicians communicating the indication for blood pressure lowering treatment to their patients should emphasise its importance on reducing cardiovascular risk rather than focusing on blood pressure reduction itself. FUNDING British Heart Foundation, UK National Institute for Health Research, and Oxford Martin School.
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Copland E, Canoy D, Nazarzadeh M, Bidel Z, Woodward M, Chalmers J, Teo K, Pepine C, Davis B, Kjeldsen S, Sundstrom J, Rahimi K. EFFECTS OF BLOOD PRESSURE-LOWERING ON CANCER RISK: AN INDIVIDUAL PARTICIPANT DATA META-ANALYSIS OF 300,000 PARTICIPANTS. J Hypertens 2021. [DOI: 10.1097/01.hjh.0000744424.40994.be] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Copland E, Canoy D, Nazarzadeh M, Bidel Z, Ramakrishnan R, Woodward M, Chalmers J, Teo KK, Pepine CJ, Davis BR, Kjeldsen S, Sundström J, Rahimi K. Antihypertensive treatment and risk of cancer: an individual participant data meta-analysis. Lancet Oncol 2021; 22:558-570. [PMID: 33794209 PMCID: PMC8024901 DOI: 10.1016/s1470-2045(21)00033-4] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 01/13/2021] [Accepted: 01/14/2021] [Indexed: 01/12/2023]
Abstract
BACKGROUND Some studies have suggested a link between antihypertensive medication and cancer, but the evidence is so far inconclusive. Thus, we aimed to investigate this association in a large individual patient data meta-analysis of randomised clinical trials. METHODS We searched PubMed, MEDLINE, The Cochrane Central Register of Controlled Trials, and ClinicalTrials.gov from Jan 1, 1966, to Sept 1, 2019, to identify potentially eligible randomised controlled trials. Eligible studies were randomised controlled trials comparing one blood pressure lowering drug class with a placebo, inactive control, or other blood pressure lowering drug. We also required that trials had at least 1000 participant years of follow-up in each treatment group. Trials without cancer event information were excluded. We requested individual participant data from the authors of eligible trials. We pooled individual participant-level data from eligible trials and assessed the effects of angiotensin-converting enzyme inhibitors (ACEIs), angiotensin II receptor blockers (ARBs), β blockers, calcium channel blockers, and thiazide diuretics on cancer risk in one-stage individual participant data and network meta-analyses. Cause-specific fixed-effects Cox regression models, stratified by trial, were used to calculate hazard ratios (HRs). The primary outcome was any cancer event, defined as the first occurrence of any cancer diagnosed after randomisation. This study is registered with PROSPERO (CRD42018099283). FINDINGS 33 trials met the inclusion criteria, and included 260 447 participants with 15 012 cancer events. Median follow-up of included participants was 4·2 years (IQR 3·0-5·0). In the individual participant data meta-analysis comparing each drug class with all other comparators, no associations were identified between any antihypertensive drug class and risk of any cancer (HR 0·99 [95% CI 0·95-1·04] for ACEIs; 0·96 [0·92-1·01] for ARBs; 0·98 [0·89-1·07] for β blockers; 1·01 [0·95-1·07] for thiazides), with the exception of calcium channel blockers (1·06 [1·01-1·11]). In the network meta-analysis comparing drug classes against placebo, we found no excess cancer risk with any drug class (HR 1·00 [95% CI 0·93-1·09] for ACEIs; 0·99 [0·92-1·06] for ARBs; 0·99 [0·89-1·11] for β blockers; 1·04 [0·96-1·13] for calcium channel blockers; 1·00 [0·90-1·10] for thiazides). INTERPRETATION We found no consistent evidence that antihypertensive medication use had any effect on cancer risk. Although such findings are reassuring, evidence for some comparisons was insufficient to entirely rule out excess risk, in particular for calcium channel blockers. FUNDING British Heart Foundation, National Institute for Health Research, Oxford Martin School.
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Affiliation(s)
- Emma Copland
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK; Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK; National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Dexter Canoy
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK; Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK; National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Milad Nazarzadeh
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK; Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
| | - Zeinab Bidel
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK; Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK; National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Rema Ramakrishnan
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK; Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
| | - Mark Woodward
- The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia; Department of Epidemiology and Biostatistics, The George Institute for Global Health, Imperial College London, London, UK; Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA
| | - John Chalmers
- The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
| | - Koon K Teo
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, ON, Canada
| | - Carl J Pepine
- College of Medicine, University of Florida, Gainesville, FL, USA
| | - Barry R Davis
- School of Public Health, University of Texas, Houston, TX, USA
| | - Sverre Kjeldsen
- Department of Cardiology, University of Oslo, Ullevaal Hospital, Oslo, Norway
| | - Johan Sundström
- Department of Medical Sciences, Clinical Epidemiology, Uppsala University, Uppsala, Sweden
| | - Kazem Rahimi
- Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK; Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK; National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
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15
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Pinho-Gomes A, Azevedo L, Copland E, Canoy D, Nazarzadeh M, Remakrishnan R, Berge E, Sundstrom J, Kotecha D, Woodward M, Rahimi K. Blood pressure lowering treatment for prevention of cardiovascular events in patients with atrial fibrillation: an individual-participant data meta-analysis. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.0672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Randomised evidence showing that pharmacological blood pressure (BP) lowering can reduce cardiovascular risk of patients with atrial fibrillation (AF) is limited.
Purpose
This study aimed to compare the effect of BP-lowering treatment on fatal and non-fatal cardiovascular outcomes in patients with and without AF overall and by major drug classes.
Methods
We extracted individual participant data from all trials with over 1,000 person-years of follow-up that had randomly assigned patients to different classes of BP-lowering drugs, BP-lowering drugs vs placebo, or to more vs less intensive BP-lowering regimens. We investigated the effects of BP-lowering treatment on a composite endpoint of major cardiovascular events (stroke, ischaemic heart disease or heart failure) according to AF status at baseline using fixed-effect one-stage individual participant data meta-analyses based on Cox proportional hazards models stratified by trial.
Findings
Twenty-two trials were included with 188,570 patients, of whom 13,266 (7%) had AF at baseline. Patients with AF had lower BP at baseline than patients without AF (143/84 mmHg, SD 21/12mmHg) versus 155/88 mmHg, SD 21/13 mmHg, respectively). Meta-regression showed that relative risk reductions were proportional to trial-level intensity of BP lowering, both in patients with and without AF. The hazard ratio for major cardiovascular events was 0.91 in patients with AF (95% confidence interval [0.83–1.00]) and 0.91 without AF (95% confidence interval [0.88–0.93]) for each 5-mmHg reduction in systolic BP, with no difference between subgroups (p=0.91) (Figure 1). Similar patterns were observed for individual components of the composite primary outcome. In patients with AF, there was no evidence that treatment effects varied according to baseline systolic BP or use of specific drug classes.
Conclusion
This study demonstrated that BP-lowering treatment reduces the risk of major cardiovascular events in patients with AF to a similar extent to that of patients without AF, even when baseline BP is below recommended treatment thresholds. Owing to their higher absolute cardiovascular risk, treatment in patients with AF is likely to result in greater absolute risk reduction than in patients without AF. Guidelines should be updated to clearly recommend pharmacological BP lowering for prevention of cardiovascular events in patients with AF.
Figure 1. Forest plot
Funding Acknowledgement
Type of funding source: Foundation. Main funding source(s): British Heart Foundation
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Affiliation(s)
| | - L Azevedo
- University of Porto, Faculty of Medicine, Porto, Portugal
| | - E Copland
- University of Oxford, The George Institute for Global Health, Oxford, United Kingdom
| | - D Canoy
- University of Oxford, The George Institute for Global Health, Oxford, United Kingdom
| | - M Nazarzadeh
- University of Oxford, The George Institute for Global Health, Oxford, United Kingdom
| | - R Remakrishnan
- University of Oxford, The George Institute for Global Health, Oxford, United Kingdom
| | - E Berge
- Tromso University Hospital, Tromso, Norway
| | - J Sundstrom
- Uppsala University, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - D Kotecha
- Center for Cardiovascular Sciences, Birmingham, United Kingdom
| | - M Woodward
- University of Oxford, The George Institute for Global Health, Oxford, United Kingdom
| | - K Rahimi
- University of Oxford, The George Institute for Global Health, Oxford, United Kingdom
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16
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Pinho-Gomes A, Azevedo L, Copland E, Canoy D, Nazarzadeh M, Remakrishnan R, Berge E, Sundstrom J, Kotecha D, Woodward M, Rahimi K. Effect of blood pressure lowering treatment on the risk of atrial fibrillation: an individual-participant data meta-analysis. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.2771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Although observational studies have suggested an association between elevated blood pressure (BP) and increased risk of atrial fibrillation (AF), randomised evidence on the effects of pharmacological blood pressure lowering on the risk of new-onset AF remains limited.
Purpose
To investigate the effects of pharmacological BP lowering on the risk of AF overall and stratified by baseline risk of AF and by drug class.
Methods
We extracted individual participant data from trials with over 1,000 person-years of follow-up that had randomly assigned patients to different classes of BP-lowering drugs, BP-lowering drugs vs placebo, or to more vs less intensive BP-lowering regimens. We investigated the effects of BP lowering on the risk of new-onset AF using fixed-effect one-stage individual participant data meta-analyses based on Cox proportional hazards models stratified by trial.
Results
Twenty-one trials were included with a total of 194,041 patients, in whom 6,357 new-onset and 516 recurrent AF events were recorded. The hazard ratio for new-onset AF was 1.01, 95% CI [0.95–1.07] per each 5-mmHg reduction in systolic BP, and meta-regression suggested that treatment effects were similar irrespective of the intensity of systolic BP reduction. Patients were overall at low risk of AF at baseline (median 2.3%, IQR [1.2–3.4%] at 5 years), and there was no evidence of heterogeneity in treatment effects across thirds of risk and 10-mmHg strata of baseline systolic BP (Figure). There was also no clear evidence that treatment effects differed between drug classes when renin-angiotensin-aldosterone system inhibitors and calcium channel blockers were compared with placebo and/or standard treatment.
Conclusion
In a low-risk population, pharmacological BP lowering did not reduce the risk of new-onset AF. Further research is needed to understand whether the effects would be different in high-risk individuals, and to better clarify the existence of class-specific effects.
Figure 1. Forest plot
Funding Acknowledgement
Type of funding source: Foundation. Main funding source(s): British Heart Foundation
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Affiliation(s)
| | - L Azevedo
- University of Porto, Faculty of Medicine, Porto, Portugal
| | - E Copland
- University of Oxford, The George Institute for Global Health, Oxford, United Kingdom
| | - D Canoy
- University of Oxford, The George Institute for Global Health, Oxford, United Kingdom
| | - M Nazarzadeh
- University of Oxford, The George Institute for Global Health, Oxford, United Kingdom
| | - R Remakrishnan
- University of Oxford, The George Institute for Global Health, Oxford, United Kingdom
| | - E Berge
- Tromso University Hospital, Tromso, Norway
| | | | - D Kotecha
- Center for Cardiovascular Sciences, Birmingham, United Kingdom
| | - M Woodward
- University of Oxford, The George Institute for Global Health, Oxford, United Kingdom
| | - K Rahimi
- University of Oxford, The George Institute for Global Health, Oxford, United Kingdom
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17
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Canoy D, Copland E, Ramakrishnan R, Pinho-Gomes A, Nazarzadeh M, Bidel Z, Salimi-Khorshidi G, Woodward M, Davis B, Pepine C, Chalmers J, Teo K, Rahimi K. Stratified effects of blood pressure-lowering treatment on long-term blood pressure: an individual patient-level meta-analysis involving 50 randomised trials and 334,219 participants. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.2762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Meta-analyses of randomised controlled trials (RCT) have shown the efficacy of pharmacologic lowering of blood pressure (BP) in reducing cardiovascular disease (CVD) risk. While efficacy has been shown across important patient characteristics, meta-analysis based on aggregate data could not fully account for potential sources of variation due to individual-level characteristics. Moreover, it is unclear if any variation in treatment effects due to patient characteristics are reflected in differential effects of BP-lowering treatment on long-term BP according to these characteristics.
Purpose
We determined the effects of BP-lowering treatment on repeated measures of blood pressure, identified trial- and participant-level sources of heterogeneity, and examined consistency of these BP-lowering effects across different patient characteristics.
Methods
We conducted an individual patient-level data meta-analysis (N=50 trials) using one-stage approach. We classified trials according to trial design: drug comparison (N=28), placebo-controlled (N=21) and BP-lowering intensity (N=8) trials. We fitted mixed models with fixed treatment effects and fixed time effect, random intercepts at trial and participant level, and a random slope for time at participant level. We adjusted for age, sex and baseline BP (except when used as stratification factor). We used likelihood ratio test and Akaike information criterion to compare models.
Results
This meta-analysis included 334,219 (42% women) participants. At baseline, mean age=65 (SD=9) years, among whom 18% were current smokers, 47% had cardiovascular disease, 29% had diabetes, and 73% were previously on BP-lowering medication. Participants had an average of 8 BP measurements over 4 years of mean follow-up. For drug comparison trials, mean differences (95% confidence interval) in systolic BP (SBP) and diastolic BP (DBP) between comparison arms were 1.3 (1.2 to 1.3) mmHg and 0.5 (0.5 to 0.5) mmHg, respectively; for placebo-controlled trials, the SBP and DBP differences were 4.2 (4.0 to 4.3) mmHg and 1.9 (1.9 to 2.0) mmHg, respectively; and for BP-lowering intensity trials, the SBP and DBP differences were 8.2 (8.0 to 8.4) mmHg and 3.7 (3.6 to 3.9) mmHg, respectively. However, BP reduction differed by duration of follow-up, type of trial. In particular, for placebo-controlled and BP-intensity trials, heterogeneity in BP reductions according to patient characteristics such as baseline BP, age, sex, prior CVD, diabetes and non-randomised anti-hypertensive use were observed.
Conclusion
This study shows the role of pharmacologic agents in effectively reducing long-term BP across individuals with a wide range of characteristics. The magnitude of BP reduction varied by several patient characteristics. This might have implications for investigation and explanation of any differential effects of BP treatment on major clinical outcomes.
Funding Acknowledgement
Type of funding source: Public Institution(s). Main funding source(s): British Heart Foundation; NIHR Oxford Biomedial Research Centre
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Affiliation(s)
- D Canoy
- University of Oxford, Oxford, United Kingdom
| | - E Copland
- University of Oxford, Oxford, United Kingdom
| | | | | | | | - Z Bidel
- University of Oxford, Oxford, United Kingdom
| | | | - M Woodward
- University of Oxford, The George Institute for Global Health (UK), Oxford, United Kingdom
| | - B.R Davis
- University of Texas, School of Public Health, Austin, United States of America
| | - C.J Pepine
- University of Florida, Department of Medicine, Florida, United States of America
| | - J Chalmers
- The George Institute for Global Health, Sydney, Australia
| | - K Teo
- McMaster University, Population Health Research Institute, Hamilton, Canada
| | - K Rahimi
- University of Oxford, Oxford, United Kingdom
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18
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Ayala Solares JR, Canoy D, Raimondi FED, Zhu Y, Hassaine A, Salimi-Khorshidi G, Tran J, Copland E, Zottoli M, Pinho-Gomes AC, Nazarzadeh M, Rahimi K. P1548Long-term past, current and usual systolic blood pressure and incident cardiovascular disease: risk prediction using large-scale, routinely recorded clinical data. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz748.0309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
The impact of long-term exposure to elevated systolic blood pressure (SBP) on future cardiovascular disease (CVD) in “real-world” settings, and its relevance to risk prediction, are less investigated.
Purpose
To examine the risk of incident CVD in relation to long-term past, current, and usual SBP, and compare their predictive performance, using evidence from large-scale electronic health records (EHR).
Methods
Using data extracted from UK primary care linked EHR, we applied a landmark cohort study design, by including patients aged 40 (N≈64,000), 50 (N≈80,000) and 60 (N≈67,000) years (y) at study entry who had recorded SBP and with no prior CVD or previous antihypertensive or lipid-lowering prescriptions at baseline. We estimated past SBP (mean, time-weighted mean, and variability recorded up to 10 years prior to baseline) and usual SBP (correcting current values for past time-dependent SBP variability). We used Cox regression to estimate hazard ratio (HR), and applied Bayesian analysis within a machine learning framework in developing and validating models. To evaluate predictive performance of the models, we used discrimination (area under the curve [AUC]) and calibration metrics. The outcome was incident CVD (first hospitalisation for or death from coronary heart disease or stroke/transient ischaemic attack). Analyses were conducted separately for each age cohort.
Results
After a mean follow-up of 8 years, the numbers of patients who developed incident CVD were over 1000 (40y), 3000 (50y) and 5000 (60y). Higher past, current and usual SBP values were separately and independently associated with increased incident CVD risk. Per 20-mmHg rise in SBP, the HR (95% credible interval [CI]) for current SBP for ages 40, 50 and 60 years were 1.18 (1.08 to 1.26), 1.22 (1.18 to 1.30) and 1.22 (1.19 to 1.24); the corresponding HR were stronger in magnitude for past SBP (mean and time-weighted mean) and usual SBP (HR ranged from: 40y=1.31 to 1.41, 50y=1.39 to 1.45 and 60y=1.32 to 1.48). For each age cohort, the AUC (95% CI) for the model that included current SBP, sex, smoking, deprivation, diabetes and lipid profile in the validation sample were: 40y=0.739 (0.730 to 0.746), 50y=0.750 (0.716 to 0.810), and 60y=0.647 (0.642 to 0.658). Adding past SBP mean, time-weighted mean or variability to this model were associated with modest increases in the AUC and all models showed good calibration. Small improvements in the AUC were similarly observed when evaluating models separately for men and women within each age cohort.
Conclusion
Using multiple SBP recordings from patients' EHR showed stronger associations with incident CVD than a single SBP measurement, but their addition to multivariate risk prediction models had negligible effects on model performance.
Acknowledgement/Funding
Oxford Martin School and National Institute for Health Research Oxford Biomedical Research Centre
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Affiliation(s)
- J R Ayala Solares
- University of Oxford, The George Institute for Global Health (UK), Oxford, United Kingdom
| | - D Canoy
- University of Oxford, The George Institute for Global Health (UK), Oxford, United Kingdom
| | - F E D Raimondi
- University of Oxford, The George Institute for Global Health (UK), Oxford, United Kingdom
| | - Y Zhu
- University of Oxford, The George Institute for Global Health (UK), Oxford, United Kingdom
| | - A Hassaine
- University of Oxford, The George Institute for Global Health (UK), Oxford, United Kingdom
| | - G Salimi-Khorshidi
- University of Oxford, The George Institute for Global Health (UK), Oxford, United Kingdom
| | - J Tran
- University of Oxford, The George Institute for Global Health (UK), Oxford, United Kingdom
| | - E Copland
- University of Oxford, The George Institute for Global Health (UK), Oxford, United Kingdom
| | - M Zottoli
- University of Oxford, The George Institute for Global Health (UK), Oxford, United Kingdom
| | - A C Pinho-Gomes
- University of Oxford, The George Institute for Global Health (UK), Oxford, United Kingdom
| | - M Nazarzadeh
- University of Oxford, The George Institute for Global Health (UK), Oxford, United Kingdom
| | - K Rahimi
- University of Oxford, The George Institute for Global Health (UK), Oxford, United Kingdom
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Pinho-Gomes AC, Azevedo L, Bidel Z, Nazarzadeh M, Copland E, Canoy D, Salam A, Rodgers A, Kotecha D, Rahimi K. P5732Effects of blood pressure lowering drugs in heart failure: a systematic review and meta-analysis of randomised controlled trials. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz746.0672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
Observational studies have reported a J-shaped relationship between blood pressure (BP) and all-cause and cardiovascular mortality in patients with heart failure (HF). Although decreasing BP significantly reduces the risk of fatal and non-fatal cardiovascular outcomes in the general population across a range of baseline BP categories, the extent to which those findings are applicable to HF patients and whether the relationship holds true when baseline BP is very low remain unclear. Therefore, it is yet to be established whether the observed J-shaped relationship between BP and clinical outcomes in patients with HF is causal and/or modified by antihypertensive treatment.
Purpose
We aimed to combine evidence from all HF trials that have investigated the effects of drugs with BP-lowering properties to assess (1) the extent to which such drugs reduce BP in HF, (2) the association between the net change in BP between treatment arms and cause-specific outcomes, and (3) whether treatment effects (including benefits and potential harms) vary according to baseline BP.
Methods
We conducted a systematic review and meta-analysis including randomised clinical trials of drugs with BP-lowering properties conducted in patients with chronic HF with at least 300 patient-years follow-up.
Results
We included a total of 37 trials (91,950 patients) and showed that treatment with drugs with BP-lowering properties significantly reduced SBP by 2.0 mmHg in all trials and by 2.4 mmHg in placebo-controlled trials (Figure 1). There was no evidence that BP reduction in placebo-controlled trials varied across strata of baseline BP, but there was suggestive evidence for differential effects by drug class, with renin-angiotensin-aldosterone system inhibitors reducing SBP by 3.2 mmHg (95% CI [−4.0, −2.4]), whilst BB appeared to have a neutral effect on BP. There was no evidence that the relative risk reduction afforded by treatment with BP-lowering drugs on all-cause mortality, cardiovascular mortality and HF hospitalisation was significantly different across categories of baseline BP. There was also no strong evidence for heterogeneity of treatment effect on adverse events leading to treatment discontinuation by baseline BP. Meta-regression did not show significant associations between the magnitude of BP reduction achieved in each trial and risk of those clinical outcomes.
Figure 1
Conclusions
Treatment with drugs with BP-lowering properties resulted in a small but significant decrease in SBP in patients with HF irrespective of baseline BP. There was no evidence that the effects of those drugs differed across the range of baseline SBP, thus supporting the efficacy and safety of those drugs in patients with low baseline BP. Data from published reports was insufficient to adequately investigate whether BP-dependent mechanisms contribute to the effect of BP-lowering drugs on clinical outcomes in patients with HF.
Acknowledgement/Funding
None
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Affiliation(s)
| | - L Azevedo
- University of Porto, Faculty of Medicine, Porto, Portugal
| | - Z Bidel
- University of Oxford, The George Institute for Global Health, Oxford, United Kingdom
| | - M Nazarzadeh
- University of Oxford, The George Institute for Global Health, Oxford, United Kingdom
| | - E Copland
- University of Oxford, The George Institute for Global Health, Oxford, United Kingdom
| | - D Canoy
- University of Oxford, The George Institute for Global Health, Oxford, United Kingdom
| | - A Salam
- The George Institute for Global Health, Telangana, India
| | - A Rodgers
- The George Institute for Global Health, University of New South Wales, Sidney, Australia
| | - D Kotecha
- University of Birmingham, Institute of Cardiovascular Sciences, Birmingham, United Kingdom
| | - K Rahimi
- University of Oxford, The George Institute for Global Health, Oxford, United Kingdom
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20
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Ayala Solares JR, Canoy D, Raimondi FED, Zhu Y, Hassaine A, Salimi-Khorshidi G, Tran J, Copland E, Zottoli M, Pinho-Gomes AC, Nazarzadeh M, Rahimi K. Long-Term Exposure to Elevated Systolic Blood Pressure in Predicting Incident Cardiovascular Disease: Evidence From Large-Scale Routine Electronic Health Records. J Am Heart Assoc 2019; 8:e012129. [PMID: 31164039 PMCID: PMC6645648 DOI: 10.1161/jaha.119.012129] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Background How measures of long‐term exposure to elevated blood pressure might add to the performance of “current” blood pressure in predicting future cardiovascular disease is unclear. We compared incident cardiovascular disease risk prediction using past, current, and usual systolic blood pressure alone or in combination. Methods and Results Using data from UK primary care linked electronic health records, we applied a landmark cohort study design and identified 80 964 people, aged 50 years (derivation cohort=64 772; validation cohort=16 192), who, at study entry, had recorded blood pressure, no prior cardiovascular disease, and no previous antihypertensive or lipid‐lowering prescriptions. We used systolic blood pressure recorded up to 10 years before baseline to estimate past systolic blood pressure (mean, time‐weighted mean, and variability) and usual systolic blood pressure (correcting current values for past time‐dependent blood pressure fluctuations) and examined their prospective relation with incident cardiovascular disease (first hospitalization for or death from coronary heart disease or stroke/transient ischemic attack). We used Cox regression to estimate hazard ratios and applied Bayesian analysis within a machine learning framework in model development and validation. Predictive performance of models was assessed using discrimination (area under the receiver operating characteristic curve) and calibration metrics. We found that elevated past, current, and usual systolic blood pressure values were separately and independently associated with increased incident cardiovascular disease risk. When used alone, the hazard ratio (95% credible interval) per 20–mm Hg increase in current systolic blood pressure was 1.22 (1.18–1.30), but associations were stronger for past systolic blood pressure (mean and time‐weighted mean) and usual systolic blood pressure (hazard ratio ranging from 1.39–1.45). The area under the receiver operating characteristic curve for a model that included current systolic blood pressure, sex, smoking, deprivation, diabetes mellitus, and lipid profile was 0.747 (95% credible interval, 0.722–0.811). The addition of past systolic blood pressure mean, time‐weighted mean, or variability to this model increased the area under the receiver operating characteristic curve (95% credible interval) to 0.750 (0.727–0.811), 0.750 (0.726–0.811), and 0.748 (0.723–0.811), respectively, with all models showing good calibration. Similar small improvements in area under the receiver operating characteristic curve were observed when testing models on the validation cohort, in sex‐stratified analyses, or by using different landmark ages (40 or 60 years). Conclusions Using multiple blood pressure recordings from patients’ electronic health records showed stronger associations with incident cardiovascular disease than a single blood pressure measurement, but their addition to multivariate risk prediction models had negligible effects on model performance. See Editorial Ahmad and Oparil
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Affiliation(s)
- Jose Roberto Ayala Solares
- 1 Deep Medicine Oxford Martin School Oxford United Kingdom.,2 The George Institute for Global Health (UK) University of Oxford United Kingdom.,4 National Institute for Health Research Oxford Biomedical Research Centre Oxford University Hospitals NHS Foundation Trust Oxford United Kingdom
| | - Dexter Canoy
- 1 Deep Medicine Oxford Martin School Oxford United Kingdom.,2 The George Institute for Global Health (UK) University of Oxford United Kingdom.,4 National Institute for Health Research Oxford Biomedical Research Centre Oxford University Hospitals NHS Foundation Trust Oxford United Kingdom.,5 Faculty of Medicine University of New South Wales Sydney Australia
| | - Francesca Elisa Diletta Raimondi
- 1 Deep Medicine Oxford Martin School Oxford United Kingdom.,2 The George Institute for Global Health (UK) University of Oxford United Kingdom
| | - Yajie Zhu
- 1 Deep Medicine Oxford Martin School Oxford United Kingdom.,2 The George Institute for Global Health (UK) University of Oxford United Kingdom
| | - Abdelaali Hassaine
- 1 Deep Medicine Oxford Martin School Oxford United Kingdom.,2 The George Institute for Global Health (UK) University of Oxford United Kingdom.,4 National Institute for Health Research Oxford Biomedical Research Centre Oxford University Hospitals NHS Foundation Trust Oxford United Kingdom
| | - Gholamreza Salimi-Khorshidi
- 1 Deep Medicine Oxford Martin School Oxford United Kingdom.,2 The George Institute for Global Health (UK) University of Oxford United Kingdom
| | - Jenny Tran
- 1 Deep Medicine Oxford Martin School Oxford United Kingdom.,2 The George Institute for Global Health (UK) University of Oxford United Kingdom
| | - Emma Copland
- 1 Deep Medicine Oxford Martin School Oxford United Kingdom.,2 The George Institute for Global Health (UK) University of Oxford United Kingdom.,4 National Institute for Health Research Oxford Biomedical Research Centre Oxford University Hospitals NHS Foundation Trust Oxford United Kingdom
| | - Mariagrazia Zottoli
- 1 Deep Medicine Oxford Martin School Oxford United Kingdom.,2 The George Institute for Global Health (UK) University of Oxford United Kingdom.,4 National Institute for Health Research Oxford Biomedical Research Centre Oxford University Hospitals NHS Foundation Trust Oxford United Kingdom
| | - Ana-Catarina Pinho-Gomes
- 1 Deep Medicine Oxford Martin School Oxford United Kingdom.,2 The George Institute for Global Health (UK) University of Oxford United Kingdom
| | - Milad Nazarzadeh
- 1 Deep Medicine Oxford Martin School Oxford United Kingdom.,2 The George Institute for Global Health (UK) University of Oxford United Kingdom.,3 Collaboration Center of Meta-Analysis Research Torbat Heydariyeh University of Medical Sciences Torbat Heydariyeh Iran
| | - Kazem Rahimi
- 1 Deep Medicine Oxford Martin School Oxford United Kingdom.,2 The George Institute for Global Health (UK) University of Oxford United Kingdom.,4 National Institute for Health Research Oxford Biomedical Research Centre Oxford University Hospitals NHS Foundation Trust Oxford United Kingdom
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Abstract
OBJECTIVES Electroconvulsive therapy (ECT) is an effective treatment of major depression, and there have been consistent improvements in the administration of ECT in the past decade. However, studies have reported a steady decline in the rates of use of ECT in the United Kingdom and Ireland. Despite this, there has been no consistent record of how much ECT is being given or to whom it is given, for more than 20 years. The purpose of this study is to estimate the change in frequency of ECT use, the length of courses, patient demographics, and clinical outcomes between 2006 and 2 periods of 2012/2013 and 2014/2015. METHODS In 2012/2013, clinics were asked to complete an online survey giving details of every patient who started a course of ECT between April 1, 2012, and March 31, 2013. This was repeated for the same period in 2014/2015. RESULTS There continues to be a striking decline in the number of courses of ECT prescribed. Course length has increased. Women are twice as likely to be prescribed ECT as men. Modal age is 60 to 80 years, and the most common diagnosis is depression. Most courses were rated as clinically effective, especially for people with severe illnesses. Maintenance ECT is used at half the clinics surveyed. CONCLUSIONS The use of ECT in England continues to decline. The reasons for this are unclear and need investigation.
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Affiliation(s)
- Nicky Buley
- From the *Centre for Quality Improvement, Royal College of Psychiatrists, London; and †Oxford Health NHS Foundation Trust, Oxford, United Kingdom
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