F. Asselbergs

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Dziopa, K., Asselbergs, F. W., Gratton, J., Chaturvedi, N., & Schmidt, A. F. (2022). Cardiovascular risk prediction in type 2 diabetes: a comparison of 22 risk scores in primary care settings. Diabetologia, 65, 644-656. http://doi.org/10.1007/s00125-021-05640-y
Mahmoudpour, S. H., Baranova, E. V., Souverein, P. C., Asselbergs, F. W., de Boer, A., & van der Zee, A. H. M. -. (2016). Determinants of angiotensin-converting enzyme inhibitor (ACEI) intolerance and angioedema in the UK Clinical Practice Research Datalink. Br J Clin Pharmacol. http://doi.org/10.1111/bcp.13090
Mahmoudpour, S. H., Asselbergs, F. W., Souverein, P. C., de Boer, A., & van der Zee, A. H. M. -. (2018). Prescription patterns of angiotensin-converting enzyme inhibitors for various indications: A UK population-based study. Br J Clin Pharmacol. http://doi.org/10.1111/bcp.13692
Gho, J., Schmidt, A. F., Pasea, L., Koudstaal, S., Pujades-Rodriguez, M., Denaxas, S., et al. (2018). An electronic health records cohort study on heart failure following myocardial infarction in England: incidence and predictors. BMJ Open. http://doi.org/10.1136/bmjopen-2017-018331
Uijl, A., Koudstaal, S., Direk, K., Denaxas, S., Groenwold, R. H. H., Banerjee, A., et al. (2019). 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. http://doi.org/10.1002/ejhf.1350
Akyea, R. K., Vinogradova, Y., Qureshi, N., Patel, R. S., Kontopantelis, E., Ntaios, G., et al. (2021). Sex, Age, and Socioeconomic Differences in Nonfatal Stroke Incidence and Subsequent Major Adverse Outcomes. Stroke. http://doi.org/10.1161/strokeaha.120.031659
Akyea, R. K., Kontopantelis, E., Kai, J., Weng, S. F., Patel, R. S., Asselbergs, F. W., & Qureshi, N. (2021). Sex disparity in subsequent outcomes in survivors of coronary heart disease. Heart. http://doi.org/10.1136/heartjnl-2021-319566
Papez, V., Moinat, M., Payralbe, S., Asselbergs, F. W., Lumbers, R. T., Hemingway, H., et al. (2021). Transforming and evaluating electronic health record disease phenotyping algorithms using the OMOP common data model: a case study in heart failure. JAMIA Open. http://doi.org/10.1093/jamiaopen/ooab001