Big Data

For Better Hearts

BigData@Heart

2022

 

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.

 

 

2021

 

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.

 

 

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.

 

 

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

Thijs Devriendt. Open Research Europe. November 2021. https://doi.org/10.12688/openreseurope.13860.2

 

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.

 

 

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.

 

 

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.

 

 

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; card AIc group and the Beta-blockers in Heart Failure Collaborative Group. Redefining β-blocker response in heart failure patients with sinus rhythm and atrial fibrillation: a machine learning cluster analysis. Lancet. 2021 Oct 16;398(10309):1427-1435. doi: 10.1016/S0140-6736(21)01638-X. Epub 2021 Aug 30. PMID: 34474011; PMCID: PMC8542730.

 

 

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.

 

 

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.

 

 

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.

 

 

2020

 

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.

 

 

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.

 

 

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: 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.

 

 

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.

 

 

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

 

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.

 

 

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.

 

 

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.