Blood pressure and risk of venous thromboembolism: a cohort analysis of 5.5 million UK adults and Mendelian randomization studies

Abstract Aims Evidence for the effect of elevated blood pressure (BP) on the risk of venous thromboembolism (VTE) has been conflicting. We sought to assess the association between systolic BP and the risk of VTE. Methods and results Three complementary studies comprising an observational cohort analysis, a one-sample and two-sample Mendelian randomization were conducted using data from 5 588 280 patients registered in the Clinical Practice Research Datalink (CPRD) dataset and 432 173 UK Biobank participants with valid genetic data. Summary statistics of International Network on Venous Thrombosis genome-wide association meta-analysis was used for two-sample Mendelian randomization. The primary outcome was the first occurrence of VTE event, identified from hospital discharge reports, death registers, and/or primary care records. In the CPRD cohort, 104 017(1.9%) patients had a first diagnosis of VTE during the 9.6-year follow-up. Each 20 mmHg increase in systolic BP was associated with a 7% lower risk of VTE [hazard ratio: 0.93, 95% confidence interval (CI): (0.92–0.94)]. Statistically significant interactions were found for sex and body mass index, but not for age and subtype of VTE (pulmonary embolism and deep venous thrombosis). Mendelian randomization studies provided strong evidence for the association between systolic BP and VTE, both in the one-sample [odds ratio (OR): 0.69, (95% CI: 0.57–0.83)] and two-sample analyses [OR: 0.80, 95% CI: (0.70–0.92)]. Conclusion We found an increased risk of VTE with lower BP, and this association was independently confirmed in two Mendelian randomization analyses. The benefits of BP reduction are likely to outweigh the harms in most patient groups, but in people with predisposing factors for VTE, further BP reduction should be made cautiously.

[1]  Sebastian M. Armasu,et al.  Genomic and Transcriptomic Association Studies Identify 16 Novel Susceptibility Loci for Venous Thromboembolism. , 2019, Blood.

[2]  K. Rahimi,et al.  Systolic Blood Pressure and Risk of Valvular Heart Disease: A Mendelian Randomization Study. , 2019, JAMA cardiology.

[3]  J. Gallacher,et al.  Cardiovascular Risk Factors Associated With Venous Thromboembolism , 2019, JAMA cardiology.

[4]  P. Donnelly,et al.  The UK Biobank resource with deep phenotyping and genomic data , 2018, Nature.

[5]  S. Willich,et al.  Deep-vein thrombosis in Europe - Burden of illness in relationship to healthcare resource utilization and return to work. , 2018, Thrombosis research.

[6]  S. Willich,et al.  Pulmonary embolism in Europe - Burden of illness in relationship to healthcare resource utilization and return to work. , 2018, Thrombosis research.

[7]  Christian Gieger,et al.  Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits , 2018, Nature Genetics.

[8]  M. Woodward,et al.  Elevated blood pressure and risk of aortic valve disease: a cohort analysis of 5.4 million UK adults , 2018, European heart journal.

[9]  G. Davey Smith,et al.  Evaluating the potential role of pleiotropy in Mendelian randomization studies , 2018, Human molecular genetics.

[10]  B. Neale,et al.  Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases , 2018, Nature Genetics.

[11]  Valeriia Haberland,et al.  The MR-Base platform supports systematic causal inference across the human phenome , 2018, eLife.

[12]  Terence Dwyer,et al.  Elevated blood pressure and risk of mitral regurgitation: A longitudinal cohort study of 5.5 million United Kingdom adults , 2017, PLoS medicine.

[13]  Fernando Pires Hartwig,et al.  Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption , 2017, bioRxiv.

[14]  P. Ridker,et al.  Assessing the causal relationship between obesity and venous thromboembolism through a Mendelian Randomization study , 2017, Human Genetics.

[15]  Olena O Yavorska,et al.  MendelianRandomization: an R package for performing Mendelian randomization analyses using summarized data , 2017, International journal of epidemiology.

[16]  S. Kathiresan,et al.  Genetic Analysis of Venous Thromboembolism in UK Biobank Identifies the ZFPM2 Locus and Implicates Obesity as a Causal Risk Factor , 2017, Circulation. Cardiovascular genetics.

[17]  J. Manson,et al.  Association of Traditional Cardiovascular Risk Factors With Venous Thromboembolism: An Individual Participant Data Meta-Analysis of Prospective Studies. , 2017, Circulation.

[18]  Centre , 2017 .

[19]  Stephen Burgess,et al.  Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants , 2016, Epidemiology.

[20]  Parminder Raina,et al.  Maelstrom Research guidelines for rigorous retrospective data harmonization , 2016, International journal of epidemiology.

[21]  F. Hartwig,et al.  Two-sample Mendelian randomization: avoiding the downsides of a powerful, widely applicable but potentially fallible technique , 2016, International journal of epidemiology.

[22]  D. Lawlor Commentary: Two-sample Mendelian randomization: opportunities and challenges , 2016, International journal of epidemiology.

[23]  G. Davey Smith,et al.  Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator , 2016, Genetic epidemiology.

[24]  S. Anderson,et al.  Blood pressure lowering for prevention of cardiovascular disease and death: a systematic review and meta-analysis , 2016, The Lancet.

[25]  Mark Woodward,et al.  Usual blood pressure, peripheral arterial disease, and vascular risk: cohort study of 4.2 million adults , 2015, BMJ : British Medical Journal.

[26]  R. Goldberg,et al.  Secular Trends in Occurrence of Acute Venous Thromboembolism: The Worcester VTE Study (1985-2009) , 2015 .

[27]  G. Davey Smith,et al.  Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression , 2015, International journal of epidemiology.

[28]  P. Elliott,et al.  UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age , 2015, PLoS medicine.

[29]  John A. Heit,et al.  The epidemiology of venous thromboembolism , 2003, Journal of Thrombosis and Thrombolysis.

[30]  I. White,et al.  Within-person variability in calculated risk factors: Comparing the aetiological association of adiposity ratios with risk of coronary heart disease , 2013, International journal of epidemiology.

[31]  J. McMurray,et al.  Effect of Statins on Venous Thromboembolic Events: A Meta-analysis of Published and Unpublished Evidence from Randomised Controlled Trials , 2012, PLoS medicine.

[32]  Gary King,et al.  Amelia II: A Program for Missing Data , 2011 .

[33]  G. Semenza Vascular responses to hypoxia and ischemia. , 2010, Arteriosclerosis, thrombosis, and vascular biology.

[34]  C. O’Donnell,et al.  Mendelian randomization: nature's randomized trial in the post-genome era. , 2009, JAMA.

[35]  Peter Carmeliet,et al.  Regulation of angiogenesis by oxygen and metabolism. , 2009, Developmental cell.

[36]  J. Heit,et al.  The epidemiology of venous thromboembolism in the community. , 2008, Arteriosclerosis, thrombosis, and vascular biology.

[37]  Cecilia Becattini,et al.  Cardiovascular Risk Factors and Venous Thromboembolism: A Meta-Analysis , 2008, Circulation.

[38]  Jordan S. Pober,et al.  Evolving functions of endothelial cells in inflammation , 2007, Nature Reviews Immunology.

[39]  P. Romundstad,et al.  Incidence and mortality of venous thrombosis: a population‐based study , 2007, Journal of thrombosis and haemostasis : JTH.

[40]  C. Kearon,et al.  Natural History of Venous Thromboembolism , 2003, Circulation.

[41]  L. Melton,et al.  Relative impact of risk factors for deep vein thrombosis and pulmonary embolism: a population-based study. , 2002, Archives of internal medicine.

[42]  A. Folsom,et al.  Cardiovascular risk factors and venous thromboembolism incidence: the longitudinal investigation of thromboembolism etiology. , 2002, Archives of internal medicine.

[43]  B. Line Pathophysiology and diagnosis of deep venous thrombosis. , 2001, Seminars in nuclear medicine.

[44]  G M Leydon,et al.  Validation of the diagnosis of venous thromboembolism in general practice database studies. , 2000, British journal of clinical pharmacology.