Big Data

For Better Hearts

BigData@Heart

2023

 

Clinical characteristics, causes and predictors of outcomes in patients with in-hospital cardiac arrest: results from the SURVIVE-ARREST study

Hannen L E M, et al. Clinical characteristics, causes and predictors of outcomes in patients with in-hospital cardiac arrest: results from the SURVIVE-ARREST study. Clinical Research in Cardiology. Feb 2023. DOI: https://doi.org/10.1007/s00392-022-02084-1

 

 

Artificial intelligence to enhance clinical value across the spectrum of cardiovascular healthcare

Gill G S, et al. Artificial intelligence to enhance clinical value across the spectrum of cardiovascular healthcare. European Heart Journal. Jan 2023. DOI: https://doi.org/10.1093/eurheartj/ehac758

 

 

2022

 

Familial atrial fibrillation mutation M1875T-SCN5A increases early sodium current and dampens the effect of flecainide

O'Reilly M, et al. Familial atrial fibrillation mutation M1875T-SCN5A increases early sodium current and dampens the effect of flecainide. EP Europace. Dec 2022. DOI: https://doi.org/10.1093/europace/euac218

 

 

Genetically personalised organ-specific metabolic models in health and disease

Foguet C, et al. Genetically personalised organ-specific metabolic models in health and disease. Nat Commun. Nov 2022. DOI: https://doi.org/10.1038/s41467-022-35017-7

 

 

Long COVID: mechanisms, risk factors and recovery

Astin R, et al. Long COVID: mechanisms, risk factors and recovery.Experimental Physiology. Nov 2022. DOI: https://doi.org/10.1113/EP090802

 

 

Fit for the future: empowering clinical trials with digital technology

Kotecha D, DeVore A D, Asselbergs F W. Fit for the future: empowering clinical trials with digital technology. European Heart Journal. Nov 2022. DOI: https://doi.org/10.1093/eurheartj/ehac650

 

 

Rare and common genetic determinants of metabolic individuality and their effects on human health

Surendran PD, et al. Rare and common genetic determinants of metabolic individuality and their effects on human health. Nature Medicine. Nov 2022. DOI: https://doi.org/10.1038/s41591-022-02046-0

 

 

Association between heart failure quality of care and mortality: a population-based cohort study using nationwide registries

Batra G, et al. Association between heart failure quality of care and mortality: a population-based cohort study using nationwide registries. European Journal of Heart Failure. Oct 2022. DOI: https://doi.org/10.1002/ejhf.2725.

 

 

Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVID-19 research and beyond

Paper V, Moinat M, et al. Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVID-19 research and beyond. JAMIA. Oct 2022. DOI: https://doi.org/10.1093/jamia/ocac203.

 

 

Post-mortem examination of high mortality in patients with heart failure and atrial fibrillation

Tica O, et al. Post-mortem examination of high mortality in patients with heart failure and atrial fibrillation. BMC Medicine. Oct 2022. DOI: https://doi.org/10.1186/s12916-022-02533-8.

 

 

Systematic approach to outcome assessment from coded electronic healthcare records in the DaRe2THINK NHS-embedded randomized trial

Wang X, et al. Systematic approach to outcome assessment from coded electronic healthcare records in the DaRe2THINK NHS-embedded randomized trial. European Heart Journal - Digital Health. Sep 2022. DOI: https://doi.org/10.1093/ehjdh/ztac046.

 

 

Morning chronotype and digestive tract cancers: Mendelian randomization study

Yuan Sh, et al. Morning chronotype and digestive tract cancers: Mendelian randomization study. International Journal of Cancer. Sep 2022. DOI: https://doi.org/10.1002/ijc.34284.

 

 

Anticoagulation for atrial fibrillation in people with serious mental illness in the general hospital setting

Farran D, Bean D, et al. Anticoagulation for atrial fibrillation in people with serious mental illness in the general hospital setting. Journal of Psychiatric Research. Sep 2022. DOI: https://doi.org/10.1016/j.jpsychires.2022.06.044.

 

 

Assessing the feasibility of a web-based outcome measurement system in child and adolescent mental health services – myHealthE a randomised controlled feasibility pilot study

Morris A C, et al. Assessing the feasibility of a web-based outcome measurement system in child and adolescent mental health services – myHealthE a randomised controlled feasibility pilot study. Child and Adolescent Mental Health. June 2022. DOI: https://doi.org/10.1111/camh.12571.

 

 

CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research

Kotecha D, Asselbergs FW, et al. CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research. Eur Heart J. Aug 2022. DOI: https://doi.org/10.1093/eurheartj/ehac426.

 

 

CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research

Kotecha D, Asselbergs FW, et al. CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research. BMJ. Aug 2022. https://doi.org/10.1136/bmj-2021-069048.

 

 

CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research

Kotecha D, Asselbergs FW, et al. CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research. Lancet Digit Health. Aug 2022. https://doi.org/10.1016/S2589-7500(22)00151-0.

 

 

Predictors of primary prevention implantable cardioverter-defibrillator use in heart failure with reduced ejection fraction: impact of the predicted risk of sudden cardiac death and all-cause mortality

Schrage B, et al. Predictors of primary prevention implantable cardioverter-defibrillator use in heart failure with reduced ejection fraction: impact of the predicted risk of sudden cardiac death and all-cause mortality. European Journal of Heart Failure. May 2022. https://doi.org/10.1002/ejhf.2530

 

 

Electrocardiogram-based mortality prediction in patients with COVID-19 using machine learning

R R van de Leur, et al. Electrocardiogram-based mortality prediction in patients with COVID-19 using machine learning. Neth Heart J. March 2022. https://doi.org/10.1007/s12471-022-01670-2

 

 

Multi-organ assessment in mainly non-hospitalized individuals after SARS-CoV-2 infection: The Hamburg City Health Study COVID programme

Petersen E L, et al. Multi-organ assessment in mainly non-hospitalized individuals after SARS-CoV-2 infection: The Hamburg City Health Study COVID programme. European Heart Journal. March 2022. https://doi.org/10.1093/eurheartj/ehab914

 

 

Association between dosing and combination use of medications and outcomes in heart failure with reduced ejection fraction: data from the Swedish Heart Failure Registry

D'Amario D, et al. Association between dosing and combination use of medications and outcomes in heart failure with reduced ejection fraction: data from the Swedish Heart Failure Registry. European Journal of Heart Failure. March 2022. https://https://doi.org/10.1002/ejhf.2477

 

 

Patient profile and outcomes associated with follow-up in specialty vs. primary care in heart failure

Lindberg F, et al. Patient profile and outcomes associated with follow-up in specialty vs. primary care in heart failure. ESC Heart Failure. Feb 2022. https://https://doi.org/10.1002/ehf2.13848

 

 

2021

 

A population-based study of 92 clinically recognized risk factors for heart failure: co-occurrence, prognosis and preventive potential

Banerjee A, Pasea L, Chung SC, Direk K, Asselbergs F, Grobbee DE, Kotecha D, Anker SD, Dyszynski T, Tyl B, Denaxas S, Lumbers RT, Hemingway H. A population-based study of 92 clinically recognized risk factors for heart failure: co-occurrence, prognosis and preventive potential. Eur J Heart Fail. 2021 Dec 30. doi: 10.1002/ejhf.2417. Epub ahead of print. PMID: 34969173.

 

 

Selenium and cancer risk: Wide-angled Mendelian randomization analysis

Yuan S, Mason AM, Carter P, Vithayathil M, Kar S, Burgess S, Larsson SC. Selenium and cancer risk: Wide-angled Mendelian randomization analysis. Int J Cancer. 2022 Apr 1;150(7):1134-1140. doi: 10.1002/ijc.33902. Epub 2021 Dec 24. PMID: 34910310.

 

 

Estimating dose-response relationships for vitamin D with coronary heart disease, stroke, and all-cause mortality: observational and Mendelian randomisation analyses

Emerging Risk Factors Collaboration/EPIC-CVD/Vitamin D Studies Collaboration. Estimating dose-response relationships for vitamin D with coronary heart disease, stroke, and all-cause mortality: observational and Mendelian randomisation analyses. Lancet Diabetes Endocrinol. 2021 Dec;9(12):837-846. doi: 10.1016/S2213-8587(21)00263-1. Epub 2021 Oct 28. PMID: 34717822; PMCID: PMC8600124.

 

 

Identification and Mapping Real-World Data Sources for Heart Failure, Acute Coronary Syndrome, and Atrial Fibrillation

Studer R, Sartini C, Suzart-Woischnik K, Agrawal R, Natani H, Gill SK, Wirta SB, Asselbergs FW, Dobson R, Denaxas S, Kotecha D. Identification and Mapping Real-World Data Sources for Heart Failure, Acute Coronary Syndrome, and Atrial Fibrillation. Cardiology. 2022;147(1):98-106. doi: 10.1159/000520674. Epub 2021 Nov 15. PMID: 34781301.

 

 

An agenda-setting paper on data sharing platforms: euCanSHare workshop

Thijs Devriendt, Clemens Ammann, Folkert W. Asselbergs, Alexander Bernier, Rodrigo Costas, Matthias G. Friedrich, Josep L. Gelpi, Marjo-Riitta Jarvelin, Kari Kuulasmaa, Karim Lekadir, Michaela Th. Mayrhofer, Vaclav Papez, Gerard Pasterkamp, Steffen E. Petersen, Carsten Oliver Schmidt, Jeanette Schulz-Menger, Stefan Söderberg, Mahsa Shabani, Giovanni Veronesi, Darian Steven Viezzer, Pascal Borry. An agenda-setting paper on data sharing platforms: euCanSHare workshop. Open Research Europe. November 2021. https://doi.org/10.12688/openreseurope.13860.2

 

 

Generalizability of randomized controlled trials in heart failure with reduced ejection fraction

Lim YMF, Molnar M, Vaartjes I, Savarese G, Eijkemans MJC, Uijl A, Vradi E, Suzart-Woischnik K, Brugts JJ, Brunner-La Rocca HP, Blanc-Guillemaud V, Couvelard F, Baudier C, Dyszynski T, Waechter S, Lund LH, Hoes AW, Tyl B, Asselbergs FW, Gerlinger C, Grobbee DE, Cronin M, Koudstaal S. Generalisability of Randomised Controlled Trials in Heart Failure with Reduced Ejection Fraction. Eur Heart J Qual Care Clin Outcomes. 2021 Oct 1:qcab070. doi: 10.1093/ehjqcco/qcab070. Epub ahead of print. PMID: 34596659.

 

 

Desiderata for the development of next-generation electronic health record phenotype libraries

Chapman M, Mumtaz S, Rasmussen LV, Karwath A, Gkoutos GV, Gao C, Thayer D, Pacheco JA, Parkinson H, Richesson RL, Jefferson E, Denaxas S, Curcin V. Desiderata for the development of next-generation electronic health record phenotype libraries. Gigascience. 2021 Sep 11;10(9):giab059. doi: 10.1093/gigascience/giab059. PMID: 34508578; PMCID: PMC8434766.

 

 

The genomics of heart failure: design and rationale of the HERMES consortium

Lumbers RT, Shah S, Lin H, Czuba T, Henry A, Swerdlow DI, Mälarstig A, Andersson C, Verweij N, Holmes MV, Ärnlöv J, Svensson P, Hemingway H, Sallah N, Almgren P, Aragam KG, et al. The genomics of heart failure: design and rationale of the HERMES consortium. ESC Heart Fail. 2021 Dec;8(6):5531-5541. doi: 10.1002/ehf2.13517. Epub 2021 Sep 3. PMID: 34480422; PMCID: PMC8712846.

 

 

Anticoagulation, therapy of concomitant conditions, and early rhythm control therapy: a detailed analysis of treatment patterns in the EAST - AFNET 4 trial

Metzner A, et al. Anticoagulation, therapy of concomitant conditions, and early rhythm control therapy: a detailed analysis of treatment patterns in the EAST - AFNET 4 trial. Europace. Sep 2021. DOI: https://doi.org/10.1093%2Feuropace%2Feuab200.

 

 

Redefining β-blocker response in heart failure patients with sinus rhythm and atrial fibrillation: a machine learning cluster analysis

Karwath A, Bunting KV, Gill SK, Tica O, Pendleton S, Aziz F, Barsky AD, Chernbumroong S, Duan J, Mobley AR, Cardoso VR, Slater L, Williams JA, Bruce EJ, Wang X, Flather MD, Coats AJS, Gkoutos GV, Kotecha D. Redefining β-blocker response in heart failure patients with sinus rhythm and atrial fibrillation: a machine learning cluster analysis. The Lancet. 2021 Aug 30. doi: 10.1016/S0140-6736(21)01638-X.

 

 

Estimating the Population Benefits of Blood Pressure Lowering: A Wide‐Angled Mendelian Randomization Study in UK Biobank

Higgins H, et al. Estimating the Population Benefits of Blood Pressure Lowering: A Wide‐Angled Mendelian Randomization Study in UK Biobank. Journal of the American Heart Association. 2021 Aug 28. doi: https://doi.org/10.1161/JAHA.121.021098

 

 

The social licence for data-intensive health research: towards co-creation, public value and trust

Muller SHA, Kalkman S, van Thiel GJMW, Mostert M, van Delden JJM. The social licence for data-intensive health research: towards co-creation, public value and trust. BMC Med Ethics. 2021 Aug 10;22(1):110. doi: 10.1186/s12910-021-00677-5. PMID: 34376204; PMCID: PMC8353823.

 

 

Transthoracic echocardiographic reference values of the aortic root: results from the Hamburg City Health Study

Wenzel J, et al. Transthoracic echocardiographic reference values of the aortic root: results from the Hamburg City Health Study. Clin Int J Cardiovasc Imaging. Jul 2021. DOI: https://doi.org/10.1007/s10554-021-02354-5

 

 

An agenda-setting paper on data sharing platforms: euCanSHare workshop

Thijs Devriendt, Clemens Ammann, Folkert W. Asselbergs, Alexander Bernier, Rodrigo Costas, Matthias G. Friedrich, Josep L. Gelpi, Marjo-Riitta Jarvelin, Kari Kuulasmaa, Karim Lekadir, Michaela Th. Mayrhofer, Vaclav Papez, Gerard Pasterkamp, Steffen E. Petersen, Carsten Oliver Schmidt, Jeanette Schulz-Menger, Stefan Söderberg, Mahsa Shabani, Giovanni Veronesi, Darian Steven Viezzer, Pascal Borry. An agenda-setting paper on data sharing platforms: euCanSHare workshop [Version 1]. Open Research Europe. Jul 2021. https://doi.org/10.12688/openreseurope.13860.1

 

 

Diastolic dysfunction in individuals with and without heart failure with preserved ejection fraction

Wenzel J, et al. Diastolic dysfunction in individuals with and without heart failure with preserved ejection fraction. Clin Res Cardiol. Jul 2021. DOI: https://doi.org/10.1007/s00392-021-01907-x

 

 

Aortic root dimensions as a correlate for aortic regurgitation’s severity

Wenzel J, et al. Aortic root dimensions as a correlate for aortic regurgitation’s severity. Int J Cardiovasc Imaging. Jul 2021. DOI: https://doi.org/10.1007/s10554-021-02337-6

 

 

Pre-existing cardiovascular disease rather than cardiovascular risk factors drives mortality in COVID-19

O'Gallagher K, et al. Pre-existing cardiovascular disease rather than cardiovascular risk factors drives mortality in COVID-19. BMC Cardiovascular Disorders. Jul 2021. DOI: https://doi.org/10.1186/s12872-021-02137-9

 

 

Coffee Consumption and Cardiovascular Diseases: A Mendelian Randomization Study

Yuan S, Carter P, Mason AM, Burgess S, Larsson SC. Coffee Consumption and Cardiovascular Diseases: A Mendelian Randomization Study. Nutrients. 2021 Jun 28;13(7):2218. doi: 10.3390/nu13072218. PMID: 34203356; PMCID: PMC8308456.

 

 

Supervised Analysis for Phenotype Identification: The Case of Heart Failure Ejection Fraction Class

Lopez C, Holgado JL, Cortes R, Sauri I, Fernandez A, Calderon JM, Nuñez J, Redon J. Supervised Analysis for Phenotype Identification: The Case of Heart Failure Ejection Fraction Class. Bioengineering (Basel). 2021 Jun 21;8(6):85. doi: 10.3390/bioengineering8060085. PMID: 34205745; PMCID: PMC8233943.

 

 

Metabolic Traits and Stroke Risk in Individuals of African Ancestry: Mendelian Randomization Analysis

Fatumo S, Karhunen V, Chikowore T, Sounkou T, Udosen B, Ezenwa C, Nakabuye M, Soremekun O, Daghlas I, Ryan DK, Taylor A, Mason AM, Damrauer SM, Vujkovic M, Keene KL, Fornage M, Järvelin MR, Burgess S, Gill D. Metabolic Traits and Stroke Risk in Individuals of African Ancestry: Mendelian Randomization Analysis. Stroke. 2021 Aug;52(8):2680-2684. doi: 10.1161/STROKEAHA.121.034747. Epub 2021 Jun 3. PMID: 34078102; PMCID: PMC8312569.

 

 

Genetically predicted circulating vitamin C in relation to cardiovascular disease

Yuan S, Zheng JS, Mason AM, Burgess S, Larsson SC. Genetically predicted circulating vitamin C in relation to cardiovascular disease. Eur J Prev Cardiol. 2022 Jan 11;28(16):1829-1837. doi: 10.1093/eurjpc/zwab081. PMID: 34057996.

 

 

Homocysteine, B vitamins, and cardiovascular disease: a Mendelian randomization study

Yuan S, Mason AM, Carter P, Burgess S, Larsson SC. Homocysteine, B vitamins, and cardiovascular disease: a Mendelian randomization study. BMC Med. 2021 Apr 23;19(1):97. doi: 10.1186/s12916-021-01977-8. PMID: 33888102; PMCID: PMC8063383.

 

 

Genetically predicted circulating B vitamins in relation to digestive system cancers

Yuan S, Carter P, Vithayathil M, Kar S, Mason AM, Burgess S, Larsson SC. Genetically predicted circulating B vitamins in relation to digestive system cancers. Br J Cancer. 2021 Jun;124(12):1997-2003. doi: 10.1038/s41416-021-01383-0. Epub 2021 Apr 9. PMID: 33837300; PMCID: PMC8184856.

 

 

Genetically Proxied Inhibition of Coagulation Factors and Risk of Cardiovascular Disease: A Mendelian Randomization Study

Yuan S, Burgess S, Laffan M, Mason AM, Dichgans M, Gill D, Larsson SC. Genetically Proxied Inhibition of Coagulation Factors and Risk of Cardiovascular Disease: A Mendelian Randomization Study. J Am Heart Assoc. 2021 Apr 20;10(8):e019644. doi: 10.1161/JAHA.120.019644. Epub 2021 Apr 9. PMID: 33834859; PMCID: PMC8174173.

 

 

Actionable druggable genome-wide Mendelian randomization identifies repurposing opportunities for COVID-19

Gaziano L, Giambartolomei C, Pereira AC, Gaulton A, Posner DC, Swanson SA, Ho YL, Iyengar SK, Kosik NM, Vujkovic M, Gagnon DR, Bento AP, Barrio-Hernandez I, Rönnblom L, et al; VA Million Veteran Program COVID-19 Science Initiative. Actionable druggable genome-wide Mendelian randomization identifies repurposing opportunities for COVID-19. Nat Med. 2021 Apr;27(4):668-676. doi: 10.1038/s41591-021-01310-z. Epub 2021 Apr 9. PMID: 33837377.

 

 

Linked electronic health records for research on a nationwide cohort of more than 54 million people in England: data resource

Wood A, Denholm R, Hollings S, Cooper J, Ip S, Walker V, Denaxas S, Akbari A, Banerjee A, Whiteley W, Lai A, Sterne J, Sudlow C; CVD-COVID-UK consortium. Linked electronic health records for research on a nationwide cohort of more than 54 million people in England: data resource. BMJ. 2021 Apr 7;373:n826. doi: 10.1136/bmj.n826. PMID: 33827854; PMCID: PMC8413899.

 

 

Machine learning for subtype definition and risk prediction in heart failure, acute coronary syndromes and atrial fibrillation: systematic review of validity and clinical utility

Banerjee A, Chen S, Fatemifar G, Zeina M, Lumbers RT, Mielke J, Gill S, Kotecha D, Freitag DF, Denaxas S, Hemingway H. Machine learning for subtype definition and risk prediction in heart failure, acute coronary syndromes and atrial fibrillation: systematic review of validity and clinical utility. BMC Med. 2021 Apr 6;19(1):85. doi: 10.1186/s12916-021-01940-7. PMID: 33820530; PMCID: PMC8022365.

 

 

Statistical integration of two omics datasets using GO2PLS

Gu Z, El Bouhaddani S, Pei J, Houwing-Duistermaat J, Uh HW. Statistical integration of two omics datasets using GO2PLS. BMC Bioinformatics. 2021 Mar 18;22(1):131. doi: 10.1186/s12859-021-03958-3. PMID: 33736604; PMCID: PMC7977326.

 

 

Identification of Distinct Phenotypic Clusters in Heart Failure with Preserved Ejection Fraction

Uijl A, Savarese G, Vaartjes I, Dahlström U, Brugts JJ, Linssen GCM, van Empel V, Brunner-La Rocca HP, Asselbergs FW, Lund LH, Hoes AW, Koudstaal S. Identification of distinct phenotypic clusters in heart failure with preserved ejection fraction. Eur J Heart Fail. 2021 Jun;23(6):973-982. doi: 10.1002/ejhf.2169. Epub 2021 May 1. PMID: 33779119; PMCID: PMC8359985.

 

 

Genetic liability to insomnia in relation to cardiovascular diseases: a Mendelian randomisation study

Larsson SC, Markus HS. Genetic Liability to Insomnia and Cardiovascular Disease Risk. Circulation. 2019 Aug 27;140(9):796-798. doi: 10.1161/CIRCULATIONAHA.119.041830. Epub 2019 Aug 19. PMID: 31422675.

 

 

Smartphone detection of atrial fibrillation using photoplethysmography: a systematic review and meta-analysis

Gill S, et al. Smartphone detection of atrial fibrillation using photoplethysmography: a systematic review and meta-analysis. Heart (British Cardiac Society). Mar 2021. DOI: https://doi.org/https://doi.org/10.1136/heartjnl-2021-320417

 

 

COVID-19 infection and attributable mortality in UK care homes: cohort study using active surveillance and electronic records (March–June 2020)

Dutey-Magni P F, et al. COVID-19 infection and attributable mortality in UK care homes: cohort study using active surveillance and electronic records (March–June 2020). Age Ageing. Mar 2021. DOI: https://doi.org/10.1093/ageing/afab060

 

 

Transforming clinical research by involving and empowering patients— the RATE-AF randomized trial

Bunting K V, Stanbury M, Tica O, Kotecha D. Transforming clinical research by involving and empowering patients— the RATE-AF randomized trial. European Heart Journal. Feb 2021. DOI: https://doi.org/10.1093/eurheartj/ehab098

 

 

A genome-wide meta-analysis yields 46 new loci associating with biomarkers of iron homeostasis

Bell S, Rigas AS, Magnusson MK, Ferkingstad E, Allara E, Bjornsdottir G, Ramond A, Sørensen E, Halldorsson GH, Paul DS, Burgdorf KS, Eggertsson HP, Howson JMM, Thørner LW, Kristmundsdottir S, et al. A genome-wide meta-analysis yields 46 new loci associating with biomarkers of iron homeostasis. Commun Biol. 2021 Feb 3;4(1):156. doi: 10.1038/s42003-020-01575-z. PMID: 33536631; PMCID: PMC7859200.

 

 

Excess deaths in people with cardiovascular diseases during the COVID-19 pandemic

Banerjee A, et al. Excess deaths in people with cardiovascular diseases during the COVID-19 pandemic. Eur J Prev Cardiol. 2021 Feb 21. doi: https://doi.org/10.1093/eurjpc/zwaa155.

 

 

Quantification of fibroblast growth factor 23 and N-terminal pro-B-type natriuretic peptide to identify patients with atrial fibrillation using a high-throughput platform: A validation study

Chua W, Law JP, Cardoso VR, Purmah Y, Neculau G, Jawad-Ul-Qamar M, Russell K, Turner A, Tull SP, Nehaj F, Brady P, Kastner P, Ziegler A, Gkoutos GV, Pavlovic D, Ferro CJ, Kirchhof P, Fabritz L. Quantification of fibroblast growth factor 23 and N-terminal pro-B-type natriuretic peptide to identify patients with atrial fibrillation using a high-throughput platform: A validation study. PLoS Med. 2021 Feb 3;18(2):e1003405. doi: 10.1371/journal.pmed.1003405. PMID: 33534825; PMCID: PMC7857735.

 

 

Estimating the Effect of Reduced Attendance at Emergency Departments for Suspected Cardiac Conditions on Cardiac Mortality During the COVID-19 Pandemic

Katsoulis M, Gomes M, Lai AG, Henry A, Denaxas S, Lagiou P, Nafilyan V, Humberstone B, Banerjee A, Hemingway H, Lumbers RT. Estimating the Effect of Reduced Attendance at Emergency Departments for Suspected Cardiac Conditions on Cardiac Mortality During the COVID-19 Pandemic. Circ Cardiovasc Qual Outcomes. 2021 Jan;14(1):e007085. doi: 10.1161/CIRCOUTCOMES.120.007085. Epub 2020 Dec 20. PMID: 33342219; PMCID: PMC7819531.

 

 

Evaluation and improvement of the National Early Warning Score (NEWS2) for COVID-19: a multi-hospital study

Carr E, Bendayan R, Bean D, Stammers M, Wang W, Zhang H, Searle T, Kraljevic Z, Shek A, Phan HTT, Muruet W, Gupta RK, Shinton AJ, Wyatt M, Shi T, Zhang X, Pickles A, Stahl D, Zakeri R, Noursadeghi M, O'Gallagher K, Rogers M, Folarin A, Karwath A, Wickstrøm KE, Köhn-Luque A, Slater L, Cardoso VR, Bourdeaux C, Holten AR, Ball S, McWilliams C, Roguski L, Borca F, Batchelor J, Amundsen EK, Wu X, Gkoutos GV, Sun J, Pinto A, Guthrie B, Breen C, Douiri A, Wu H, Curcin V, Teo JT, Shah AM, Dobson RJB. Evaluation and improvement of the National Early Warning Score (NEWS2) for COVID-19: a multi-hospital study. BMC Med. 2021 Jan 21;19(1):23. doi: 10.1186/s12916-020-01893-3. PMID: 33472631; PMCID: PMC7817348.

 

 

2020

 

A semi-supervised approach for rapidly creating clinical biomarker phenotypes in the UK Biobank using different primary care EHR and clinical terminology systems

Denaxas S, Shah AD, Mateen BA, Kuan V, Quint JK, Fitzpatrick N, Torralbo A, Fatemifar G, Hemingway H. A semi-supervised approach for rapidly creating clinical biomarker phenotypes in the UK Biobank using different primary care EHR and clinical terminology systems. JAMIA Open. 2020 Dec 5;3(4):545-556. doi: 10.1093/jamiaopen/ooaa047. PMID: 33619467; PMCID: PMC7717266.

 

 

Genetically proxied milk consumption and risk of colorectal, bladder, breast, and prostate cancer: a two-sample Mendelian randomization study

Larsson SC, Mason AM, Kar S, Vithayathil M, Carter P, Baron JA, Michaëlsson K, Burgess S. Genetically proxied milk consumption and risk of colorectal, bladder, breast, and prostate cancer: a two-sample Mendelian randomization study. BMC Med. 2020 Dec 2;18(1):370. doi: 10.1186/s12916-020-01839-9. PMID: 33261611; PMCID: PMC7709312.

 

 

Reduced left atrial cardiomyocyte PITX2 and elevated circulating BMP10 predict atrial fibrillation after ablation

Reyat JS, Chua W, Cardoso VR, Witten A, Kastner PM, Kabir SN, Sinner MF, Wesselink R, Holmes AP, Pavlovic D, Stoll M, Kääb S, Gkoutos GV, de Groot JR, Kirchhof P, Fabritz L. Reduced left atrial cardiomyocyte PITX2 and elevated circulating BMP10 predict atrial fibrillation after ablation. JCI Insight. 2020 Aug 20;5(16):e139179. doi: 10.1172/jci.insight.139179. PMID: 32814717; PMCID: PMC7455124.

 

 

Association between Renin-Angiotensin-Aldosterone system inhibitor use and COVID-19 Hospitalization and death: A 1,4 million patient Nation-Wide registry analysis

Savarese G, Benson L, Sundström J, Lund LH. Association between renin-angiotensin-aldosterone system inhibitor use and COVID-19 hospitalization and death: a 1.4 million patient nationwide registry analysis. Eur J Heart Fail. 2021 Mar;23(3):476-485. doi: 10.1002/ejhf.2060. Epub 2020 Dec 7. PMID: 33222412; PMCID: PMC7753665.

 

 

Accurate detection of atrial fibrillation using a smartphone remains uncertain: a systematic review and meta-analysis 

S Gill, C Sartini, H.W Uh, N Ghoreishi, V Cardoso, K.V Bunting, G Gkoutos, K Suzart-Woischnik, F.W Asselbergs, M.J.C Eijkemans, D Kotecha, Accurate detection of atrial fibrillation using a smartphone remains uncertain: a systematic review and meta-analysis, European Heart Journal, Volume 41, Issue Supplement_2, November 2020, ehaa946.3505, https://doi.org/10.1093/ehjci/ehaa946.3505.

 

 

ACE inhibition and cardiometabolic risk factors, lung ACE2 and TMPRSS2 gene expression, and plasma ACE2 levels: a Mendelian randomization study

Gill D, Arvanitis M, Carter P, Hernández Cordero AI, Jo B, Karhunen V, Larsson SC, Li X, Lockhart SM, Mason A, Pashos E, Saha A, Tan VY, Zuber V, Bossé Y, Fahle S, Hao K, Jiang T, Joubert P, Lunt AC, Ouwehand WH, Roberts DJ, Timens W, van den Berge M, Watkins NA, Battle A, Butterworth AS, Danesh J, Di Angelantonio E, Engelhardt BE, Peters JE, Sin DD, Burgess S. ACE inhibition and cardiometabolic risk factors, lung ACE2 and TMPRSS2 gene expression, and plasma ACE2 levels: a Mendelian randomization study. R Soc Open Sci. 2020 Nov 18;7(11):200958. doi: 10.1098/rsos.200958. PMID: 33391794; PMCID: PMC7735342.

 

 

Prediction of vascular aging based on smartphone acquired PPG signals

Dall'Olio L, Curti N, Remondini D, Safi Harb Y, Asselbergs FW, Castellani G, Uh HW. Prediction of vascular aging based on smartphone acquired PPG signals. Sci Rep. 2020 Nov 12;10(1):19756. doi: 10.1038/s41598-020-76816-6. PMID: 33184391; PMCID: PMC7661535.

 

 

Assessing the protective role of allergic disease in gastrointestinal tract cancers using Mendelian randomization analysis

Yuan S, Vithayathil M, Kar S, Carter P, Mason AM, Xie SH, Burgess S, Larsson SC. Assessing the protective role of allergic disease in gastrointestinal tract cancers using Mendelian randomization analysis. Allergy. 2021 May;76(5):1559-1562. doi: 10.1111/all.14616. Epub 2020 Oct 21. PMID: 33031565; PMCID: PMC8411419.

 

 

Sleep duration and risk of overall and 22 site‐specific cancers: A Mendelian randomization study

Titova OE, Michaëlsson K, Vithayathil M, Mason AM, Kar S, Burgess S, Larsson SC. Sleep duration and risk of overall and 22 site-specific cancers: A Mendelian randomization study. Int J Cancer. 2021 Feb 15;148(4):914-920. doi: 10.1002/ijc.33286. Epub 2020 Sep 14. PMID: 32895918; PMCID: PMC7821333.

 

 

Effects of tumour necrosis factor on cardiovascular disease and cancer: A two-sample Mendelian randomization study

Yuan S, Carter P, Bruzelius M, Vithayathil M, Kar S, Mason AM, Lin A, Burgess S, Larsson SC. Effects of tumour necrosis factor on cardiovascular disease and cancer: A two-sample Mendelian randomization study. EBioMedicine. 2020 Sep;59:102956. doi: 10.1016/j.ebiom.2020.102956. Epub 2020 Aug 14. PMID: 32805626; PMCID: PMC7452586.

 

 

Genetic drug target validation using Mendelian randomisation

Schmidt AF, Finan C, Gordillo-Marañón M, Asselbergs FW, Freitag DF, Patel RS, Tyl B, Chopade S, Faraway R, Zwierzyna M, Hingorani AD. Genetic drug target validation using Mendelian randomisation. Nat Commun. 2020 Jun 26;11(1):3255. doi: 10.1038/s41467-020-16969-0. PMID: 32591531; PMCID: PMC7320010.

 

 

A registry‐based algorithm to predict ejection fraction in patients with heart failure

Uijl A, Lund LH, Vaartjes I, Brugts JJ, Linssen GC, Asselbergs FW, Hoes AW, Dahlström U, Koudstaal S, Savarese G. A registry-based algorithm to predict ejection fraction in patients with heart failure. ESC Heart Fail. 2020 Oct;7(5):2388-2397. doi: 10.1002/ehf2.12779. Epub 2020 Jun 17. PMID: 32548911; PMCID: PMC7524089.

 

 

Impact of Acute Hemoglobin Falls in Heart Failure Patients: A Population Study

Lopez C, Holgado JL, Cortes R, Sauri I, Fernandez A, Calderon JM, Nuñez J, Redon J. Supervised Analysis for Phenotype Identification: The Case of Heart Failure Ejection Fraction Class. Bioengineering (Basel). 2021 Jun 21;8(6):85. doi: 10.3390/bioengineering8060085. PMID: 34205745; PMCID: PMC8233943.

 

 

Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study

Banerjee A, Pasea L, Harris S, Gonzalez-Izquierdo A, Torralbo A, Shallcross L, Noursadeghi M, Pillay D, Sebire N, Holmes C, Pagel C, Wong WK, Langenberg C, Williams B, Denaxas S, Hemingway H. Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study. Lancet. 2020 May 30;395(10238):1715-1725. doi: 10.1016/S0140-6736(20)30854-0. Epub 2020 May 12. PMID: 32405103; PMCID: PMC7217641.

 

 

Comorbidities and cause-specific outcomes in heart failure across the ejection fraction spectrum: A blueprint for clinical trial design

Savarese G, Settergren C, Schrage B, Thorvaldsen T, Löfman I, Sartipy U, Mellbin L, Meyers A, Farsani SF, Brueckmann M, Brodovicz KG, Vedin O, Asselbergs FW, Dahlström U, Cosentino F, Lund LH. Comorbidities and cause-specific outcomes in heart failure across the ejection fraction spectrum: A blueprint for clinical trial design. Int J Cardiol. 2020 Aug 15;313:76-82. doi: https://doi.org/10.1016/j.ijcard.2020.04.068. Epub 2020 Apr 30. PMID: 32360702.

 

 

Acute kidney injury in heart failure: a population study

Holgado JL, Lopez C, Fernandez A, Sauri I, Uso R, Trillo JL, Vela S, Nuñez J, Redon J, Ruiz A. Acute kidney injury in heart failure: a population study. ESC Heart Fail. 2020 Apr;7(2):415-422. doi: 10.1002/ehf2.12595. Epub 2020 Feb 14. PMID: 32059081; PMCID: PMC7160477.

 

 

Development of an international standard set of outcome measures for patients with atrial

Seligman WH, Das-Gupta Z, Jobi-Odeneye AO, Arbelo E, Banerjee A, Bollmann A, Caffrey-Armstrong B, Cehic DA, Corbalan R, Collins M, Dandamudi G, Dorairaj P, Fay M, Van Gelder IC, Goto S, Granger CB, Gyorgy B, Healey JS, Hendriks JM, Hills MT, Hobbs FDR, Huisman MV, Koplan KE, Lane DA, Lewis WR, Lobban T, Steinberg BA, McLeod CJ, Moseley S, Timmis A, Yutao G, Camm AJ. Development of an international standard set of outcome measures for patients with atrial fibrillation: a report of the International Consortium for Health Outcomes Measurement (ICHOM) atrial fibrillation working group. Eur Heart J. 2020 Mar 7;41(10):1132-1140. doi: 10.1093/eurheartj/ehz871. PMID: 31995195; PMCID: PMC7060456.

 

 

Machine learning: a long way from implementation in cardiovascular disease

Chen S, Banerjee A. Machine learning: a long way from implementation in cardiovascular disease. Heart (British Cardiac Society). 2020 Mar. doi: https://doi.org/10.1136/heartjnl-2019-316030.

 

 

Responsible data sharing in a big data-driven translational research platform: lessons learned

Kalkman S, Mostert M, Udo-Beauvisage N, van Delden JJ, van Thiel GJ. Responsible data sharing in a big data-driven translational research platform: lessons learned. BMC Med Inform Decis Mak. 2019 Dec 30;19(1):283. doi: 10.1186/s12911-019-1001-y. PMID: 31888593; PMCID: PMC6936121.

 

 

Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure 

Shah S, Henry A, Roselli C, Lin H, Sveinbjörnsson G, Fatemifar G, Hedman ÅK, Wilk JB, Morley MP, Chaffin MD, Helgadottir A, Verweij N, Dehghan A, Almgren P, Andersson C, Aragam KG, Ärnlöv J, Backman JD, Biggs ML, Bloom HL, et al. Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure. Nat Commun. 2020 Jan 9;11(1):163. doi: 10.1038/s41467-019-13690-5. PMID: 31919418; PMCID: PMC6952380.

 

 

Semantic computational analysis of anticoagulation use in atrial fibrillation from real world data

Bean DM, Teo J, Wu H, Oliveira R, Patel R, Bendayan R, Shah AM, Dobson RJB, Scott PA. Semantic computational analysis of anticoagulation use in atrial fibrillation from real world data. PLoS One. 2019 Nov 25;14(11):e0225625. doi: 10.1371/journal.pone.0225625. PMID: 31765395; PMCID: PMC6876873.

 

 

Cabins, castles, and constant hearts: rhythm control therapy in patients with atrial fibrillation

Willems S, Meyer C, de Bono J, Brandes A, Eckardt L, Elvan A, van Gelder I, Goette A, Gulizia M, Haegeli L, Heidbuchel H, Haeusler KG, Kautzner J, Mont L, Ng GA, Szumowski L, Themistoclakis S, Wegscheider K, Kirchhof P. Cabins, castles, and constant hearts: rhythm control therapy in patients with atrial fibrillation. Eur Heart J. 2019 Dec 7;40(46):3793-3799c. doi: 10.1093/eurheartj/ehz782. PMID: 31755940; PMCID: PMC6898884.

 

 

Bleeding in cardiac patients prescribed antithrombotic drugs: Electronic health record phenotyping algorithms, incidence, trends and prognosis

Pasea L, Chung SC, Pujades-Rodriguez M, Shah AD, Alvarez-Madrazo S, Allan V, Teo JT, Bean D, Sofat R, Dobson R, Banerjee A, Patel RS, Timmis A, Denaxas S, Hemingway H. Bleeding in cardiac patients prescribed antithrombotic drugs: electronic health record phenotyping algorithms, incidence, trends and prognosis. BMC Med. 2019 Nov 20;17(1):206. doi: 10.1186/s12916-019-1438-y. PMID: 31744503; PMCID: PMC6864929.

 

 

Patients’ and public views and attitudes towards the sharing of health data for research: a narrative review of the empirical evidence

Kalkman S, van Delden J, Banerjee A, Tyl B, Mostert M, van Thiel G. Patients' and public views and attitudes towards the sharing of health data for research: a narrative review of the empirical evidence. J Med Ethics. 2022 Jan;48(1):3-13. doi: 10.1136/medethics-2019-105651. Epub 2019 Nov 12. PMID: 31719155; PMCID: PMC8717474.

 

 

Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death. Journal of Biomedical Semantics

Shah AD, Bailey E, Williams T, Denaxas S, Dobson R, Hemingway H. Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death. J Biomed Semantics. 2019 Nov 12;10(Suppl 1):20. doi: 10.1186/s13326-019-0214-4. PMID: 31711543; PMCID: PMC6849160.

 

 

Self-palpation for detection of paroxysmal atrial fibrillation: Much noise with little signal

Rahimi K, Kirchhof P. Self-palpation for detection of paroxysmal atrial fibrillation: Much noise with little signal. PLoS Med. 2020 Mar 31;17(3):e1003098. doi: 10.1371/journal.pmed.1003098. PMID: 32231353; PMCID: PMC7108683.

 

 

Association between use of primary prevention implantable cardioverter-defibrillators and mortality in patients with heart failure. A prospective propensity-score matched analysis from the Swedish heart failure registry

Littmann L. Letter by Littmann Regarding Article, "Association Between Use of Primary-Prevention Implantable Cardioverter-Defibrillators and Mortality in Patients With Heart Failure: A Prospective Propensity Score-Matched Analysis From the Swedish Heart Failure Registry". Circulation. 2020 Mar 17;141(11):e646-e647. doi: 10.1161/CIRCULATIONAHA.119.045175. Epub 2020 Mar 16. PMID: 32176545.

 

 

Association between beta-blocker use and mortality/morbidity in older patients with heart failure with reduced ejection fraction. A propensity score-matched analysis from the Swedish Heart Failure Registry

Stolfo D, Uijl A, Benson L, Schrage B, Fudim M, Asselbergs FW, Koudstaal S, Sinagra G, Dahlström U, Rosano G, Savarese G. Association between beta-blocker use and mortality/morbidity in older patients with heart failure with reduced ejection fraction. A propensity score-matched analysis from the Swedish Heart Failure Registry. Eur J Heart Fail. 2020 Jan;22(1):103-112. doi: 10.1002/ejhf.1615. Epub 2019 Oct 23. Erratum in: Eur J Heart Fail. 2020 Jul;22(7):1287. PMID: 31478583.

 

 

2019

 

Lipoprotein signatures of cholesteryl ester transfer protein and HMG-CoA reductase inhibition

Kettunen J, Holmes MV, Allara E, Anufrieva O, Ohukainen P, Oliver-Williams C, Wang Q, Tillin T, Hughes AD, Kähönen M, Lehtimäki T, Viikari J, Raitakari OT, Salomaa V, Järvelin MR, Perola M, Davey Smith G, Chaturvedi N, Danesh J, Di Angelantonio E, Butterworth AS, Ala-Korpela M. Lipoprotein signatures of cholesteryl ester transfer protein and HMG-CoA reductase inhibition. PLoS Biol. 2019 Dec 20;17(12):e3000572. doi: 10.1371/journal.pbio.3000572. Erratum in: PLoS Biol. 2020 Mar 6;18(3):e3000694. PMID: 31860674; PMCID: PMC6944381.

 

 

Metformin use and cardiovascular outcomes after acute myocardial infarction in patients with type 2 diabetes: a cohort study

Bromage DI, Godec TR, Pujades-Rodriguez M, Gonzalez-Izquierdo A, Denaxas S, Hemingway H, Yellon DM. Metformin use and cardiovascular outcomes after acute myocardial infarction in patients with type 2 diabetes: a cohort study. Cardiovasc Diabetol. 2019 Dec 9;18(1):168. doi: 10.1186/s12933-019-0972-4. PMID: 31815634; PMCID: PMC6900858.

 

 

Subtypes of atrial fibrillation with concomitant valvular heart disease derived from electronic health records: phenotypes, population prevalence, trends and prognosis

Banerjee A, Allan V, Denaxas S, Shah A, Kotecha D, Lambiase PD, Joseph J, Lund LH, Hemingway H. Subtypes of atrial fibrillation with concomitant valvular heart disease derived from electronic health records: phenotypes, population prevalence, trends and prognosis. Europace. 2019 Dec 1;21(12):1776-1784. doi: 10.1093/europace/euz220. Erratum in: Europace. 2019 Dec 1;21(12):1784. PMID: 31408153; PMCID: PMC6888023.

 

 

UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER

Denaxas S, Gonzalez-Izquierdo A, Direk K, Fitzpatrick NK, Fatemifar G, Banerjee A, Dobson RJB, Howe LJ, Kuan V, Lumbers RT, Pasea L, Patel RS, Shah AD, Hingorani AD, Sudlow C, Hemingway H. UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER. J Am Med Inform Assoc. 2019 Dec 1;26(12):1545-1559. doi: 10.1093/jamia/ocz105. PMID: 31329239; PMCID: PMC6857510.

 

 

Genetic determinants of lipids and cardiovascular disease outcomes: a wide-angled Mendelian randomization investigation​

Allara E, Morani G, Carter P, Gkatzionis A, Zuber V, Foley CN, Rees JMB, Mason AM, Bell S, Gill D, Lindström S, Butterworth AS, Di Angelantonio E, Peters J, Burgess S; INVENT consortium. Genetic Determinants of Lipids and Cardiovascular Disease Outcomes: A Wide-Angled Mendelian Randomization Investigation. Circ Genom Precis Med. 2019 Dec;12(12):e002711. doi: 10.1161/CIRCGEN.119.002711. Epub 2019 Nov 22. PMID: 31756303; PMCID: PMC6922071.

 

 

Diagnosis and treatment for hyperuricemia and gout: a systematic review of clinical practice guidelines and consensus statements

Li Q, Li X, Wang J, Liu H, Kwong JS, Chen H, Li L, Chung SC, Shah A, Chen Y, An Z, Sun X, Hemingway H, Tian H, Li S. Diagnosis and treatment for hyperuricemia and gout: a systematic review of clinical practice guidelines and consensus statements. BMJ Open. 2019 Aug 24;9(8):e026677. doi: 10.1136/bmjopen-2018-026677. PMID: 31446403; PMCID: PMC6720466.

 

 

Responsible data sharing in international health research: a systematic review of principles and norms

Kalkman S, Mostert M, Gerlinger C, van Delden JJM, van Thiel GJMW. Responsible data sharing in international health research: a systematic review of principles and norms. BMC Med Ethics. 2019 Mar 28;20(1):21. doi: 10.1186/s12910-019-0359-9. PMID: 30922290; PMCID: PMC6437875.

 

 

Heart rate in patients with atrial fibrillation and heart failure with preserved ejection fraction: a prognosticator like in sinus rhythm?

Rienstra M, Kotecha D, van Veldhuisen DJ. Heart rate in patients with atrial fibrillation and heart failure with preserved ejection fraction: a prognosticator like in sinus rhythm? Eur J Heart Fail. 2019 Apr;21(4):480-481. doi: 10.1002/ejhf.1425. Epub 2019 Jan 30. PMID: 30698314.

 

 

Million Migrants study of healthcare and mortality outcomes in non-EU migrants and refugees to England: Analysis protocol for a linked population-based cohort study of 1.5 million migrants

Burns R, Pathak N, Campos-Matos I, Zenner D, Vittal Katikireddi S, Muzyamba MC, Miranda JJ, Gilbert R, Rutter H, Jones L, Williamson E, Hayward AC, Smeeth L, Abubakar I, Hemingway H, Aldridge RW. Million Migrants study of healthcare and mortality outcomes in non-EU migrants and refugees to England: Analysis protocol for a linked population-based cohort study of 1.5 million migrants. Wellcome Open Res. 2019 Jan 17;4:4. doi: 10.12688/wellcomeopenres.15007.1. PMID: 30801036; PMCID: PMC6381442.

 

 

Risk factors for incident heart failure in age‐ and sex‐specific strata: a population‐based cohort using linked electronic health records

Uijl A, Koudstaal S, Direk K, Denaxas S, Groenwold RHH, Banerjee A, Hoes AW, Hemingway H, Asselbergs FW. Risk factors for incident heart failure in age- and sex-specific strata: a population-based cohort using linked electronic health records. Eur J Heart Fail. 2019 Oct;21(10):1197-1206. doi: 10.1002/ejhf.1350. Epub 2019 Jan 7. PMID: 30618162; PMCID: PMC7074015.

 

 

2018

 

From lipid locus to drug target through human genomics

van der Laan SW, Harshfield EL, Hemerich D, Stacey D, Wood AM, Asselbergs FW. From lipid locus to drug target through human genomics. Cardiovasc Res. 2018 Jul 15;114(9):1258-1270. doi: 10.1093/cvr/cvy120. PMID: 29800275.

 

 

Integrative Bioinformatics Approaches for Identification of Drug Targets in Hypertension

Hemerich D, van Setten J, Tragante V, Asselbergs FW. Integrative Bioinformatics Approaches for Identification of Drug Targets in Hypertension. Front Cardiovasc Med. 2018 Apr 4;5:25. doi: 10.3389/fcvm.2018.00025. PMID: 29670885; PMCID: PMC5894467.

 

 

An electronic health records cohort study on heart failure following myocardial infarction in England: incidence and predictors

Gho JMIH, Schmidt AF, Pasea L, Koudstaal S, Pujades-Rodriguez M, Denaxas S, Shah AD, Patel RS, Gale CP, Hoes AW, Cleland JG, Hemingway H, Asselbergs FW. An electronic health records cohort study on heart failure following myocardial infarction in England: incidence and predictors. BMJ Open. 2018 Mar 3;8(3):e018331. doi: 10.1136/bmjopen-2017-018331. Erratum in: BMJ Open. 2018 Mar 22;8(3):e018331corr1. PMID: 29502083; PMCID: PMC5855447.

 

 

2017

 

Big data from electronic health records for early and late translational cardiovascular research: challenges and potential

Hemingway H, Asselbergs FW, Danesh J, Dobson R, Maniadakis N, Maggioni A, van Thiel GJM, Cronin M, Brobert G, Vardas P, Anker SD, Grobbee DE, Denaxas S; Innovative Medicines Initiative 2nd programme, Big Data for Better Outcomes, BigData@Heart Consortium of 20 academic and industry partners including ESC. Big data from electronic health records for early and late translational cardiovascular research: challenges and potential. Eur Heart J. 2018 Apr 21;39(16):1481-1495. doi: 10.1093/eurheartj/ehx487. PMID: 29370377; PMCID: PMC6019015.

 

 

Big Data in Cardiovascular Disease

Anker S, Asselbergs FW, Brobert G, Vardas P, Grobbee DE, Cronin M. Big Data in Cardiovascular Disease. Eur Heart J. 2017 Jun 21;38(24):1863-1865. doi: 10.1093/eurheartj/ehx283. PMID: 28863460.