Big Data

For Better Hearts




Research papers



  1. Lorenzo Dall’Olio, Nico Curti, Daniel Remondini, Yosef Safi Harb, Folkert W. Asselbergs, Gastone Castellani & Hae‐Won Uh. Prediction of vascular aging based on smartphone acquired PPG signals. Scientific Reports. 12 November 2020.

  2. Olga E. Titova, Karl Michaëlsson, Mathew Vithayathil,  Amy M. Mason, Siddhartha Kar, Stephen Burgess, Susanna C. Larsson.Sleep duration and risk of overall and 22 site‐specific cancers: A Mendelian randomization study. Cancer Epidemiology. 07 September 2020.

  3. Amand Schmidt. Genetic drug target validation using Mendelian randomisation. Nature Communications. 26 June 2020.
  4. Alicia Uijl. A registry‐based algorithm to predict ejection fraction in patients with heart failure. ESC Heart Failure. 17 June 2020.
  5. Cristina Lopez. Impact of Acute Hemoglobin Falls in Heart Failure Patients: A Population Study. J Clin Med. 15 June 2020.
  6. Amitava Banerjee. Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study. The Lancet. 12 May 2020.
  7. Gianluigi Savarese. Comorbidities and cause-specific outcomes in heart failure across the ejection fraction spectrum: A blueprint for clinical trial design. International Journal of Cardiology. 30 April 2020.
  8. Hose Luis Holgado, Cristina Lopez, Antonio Fernandez, Inmaculada Sauri, Ruth Uso, Jose Luis Trillo, SaraVela, Julio Nuñez, Josep Redon, and Adrian Ruiz. Acute kidney injury in heart failure: a population study. ESC Heart Failure. 14 February 2020ю
  9. William H Seligman. Development of an international standard set of outcome measures for patients with atrial. European Heart Journal. 29 January 2020.
  10. Sonia Shah. Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure. Nature Communications. 09 January 2020. 
  11. Shona Kalkman. Responsible data sharing in a big data-driven translational research platform: lessons learned. BMC Medical Informatics and Decision Making. 30 December 2019.
  12. Daniel M. Bean. Semantic computational analysis of anticoagulation use in atrial fibrillation from real world data. Plos One. 25 November 2019. 
  13. Laura Pasea. Bleeding in cardiac patients prescribed antithrombotic drugs: Electronic health record phenotyping algorithms, incidence, trends and prognosis. BMC Medicine. 20 November 2019. 
  14. Shona Kalkman. Patients’ and public views and attitudes towards the sharing of health data for research: a narrative review of the empirical evidence. Journal of Medical Ethics. 12 November 2019.  
  15. Schrage B, Uijl A, Benson L, Westermann D, Ståhlberg M, Stolfo D, Dahstrom U, Linde C, Braunschweig F, and Savarese G. 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-Heart Failure. 3 September 2019.
  16. Stolfo D, Uijl A, Schrage B, Fudim M, Asselbergs FW, Koudstaal S, Sinagra G, Dahlstrom U, Rosano G, and 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. European Journal of Heart Failure. 3 September 2019.
  17. Banerjee A, Allan V, Denaxas S, Shah A, Kotecha D, Lambiase PD, Jacob 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. 14 July 2019.
  18. Spiros Denaxas. UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER. Journal of the American Medical Informatics Association. 22 July 2019. 
  19. Shah S, Henry A, Roselli C, et al. Genome-wide association study provides new insights into the genetic architecture and pathogenesis of heart failure. BioRivix, 10 July 2019.
  20. Elias Allara. Genetic determinants of lipids and cardiovascular disease outcomes: a wide-angled Mendelian randomization investigation​. BioRxiv, 14 June 2019. 

  21. 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 Medical Ethics. 28 March 2019.
  22. Michiel Rienstra Dipak Kotecha Dirk J. van Veldhuisen. Heart rate in patients with atrial fibrillation and heart failure with preserved ejection fraction: a prognosticator like in sinus rhythm?. European Journal of Heart Failure. 30 January 2019.
  23. 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. European Journal of Heart Failure. 07 January 2019.
  24. Van der Laan SW, Harshfield EL, Hemerich D, Stacey D, Wood AM, Asselbergs FW. From lipid locus to drug target through human genomics. Cardiovascular Research. 15 July 2018. doi:10.1093/cvr/cvy120
  25. Johannes M I H Gho, An electronic health records cohort study on heart failure following myocardial infarction in England: incidence and predictors. BMJ Open. 03 March 2018. 
  26. 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. Big data from electronic health records for early and late translational cardiovascular research: challenges and potential. European Heart Journal. 29 August 2017. doi:10.1093/eurheartj/ehx487
  27. Anker S, Asselbergs FW, Brobert G, Vardas P, Drobbee DE, Cronin M. Big Data in Cardiovascular Disease. European Heart Journal. 21 June 2017. doi: 10.1093/eurheartj/ehx283.