Electronic Health Records

Rapsomaniki, E., Shah, A., Perel, P., Denaxas, S., George, J., Nicholas, O., et al. (2014). Prognostic models for stable coronary artery disease based on electronic health record cohort of 102 023 patients. Eur Heart J, 35, 844-52. http://doi.org/10.1093/eurheartj/eht533
Elkheder, M., Gonzalez-Izquierdo, A., Arfeen, Q. U., Kuan, V., Lumbers, R. T., Denaxas, S., & Shah, A. D. (2022). Translating and evaluating historic phenotyping algorithms using SNOMED CT. J Am Med Inform Assoc. http://doi.org/10.1093/jamia/ocac158
Pufulete, M., Harris, J., Pouwels, K., Reeves, B. C., Lasserson, D., Loke, Y. K., et al. (2022). Real-world bleeding in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI) and prescribed different combinations of dual antiplatelet therapy (DAPT) in England. Open Heart, 9. http://doi.org/10.1136/openhrt-2022-001999
Chung, S. C., O'Brien, B., Lip, G. Y. H., Fields, K. G., Muehlschlegel, J. D., Thakur, A., et al. (2022). Prognostic model for atrial fibrillation after cardiac surgery: a UK cohort study. Clin Res Cardiol. http://doi.org/10.1007/s00392-022-02068-1
Xu, Z., Arnold, M., Sun, L., Stevens, D., Chung, R., Ip, S., et al. (2022). Incremental value of risk factor variability for cardiovascular risk prediction in individuals with type 2 diabetes: results from UK primary care electronic health records. Int J Epidemiol. http://doi.org/10.1093/ije/dyac140
Sullivan, S. A., Kounali, D., Morris, R., Kessler, D., Hamilton, W., Lewis, G., et al. (2022). Developing and internally validating a prognostic model (P Risk) to improve the prediction of psychosis in a primary care population using electronic health records: The MAPPED study. Schizophr Res, 246, 241-249. http://doi.org/10.1016/j.schres.2022.06.031
Sumilo, D., Nirantharakumar, K., Willis, B. H., Rudge, G. M., Martin, J., Gokhale, K., et al. (2022). Long-term impact of pre-incision antibiotics on children born by caesarean section: a longitudinal study based on UK electronic health records. Health Technol Assess, 26, 1-160. http://doi.org/10.3310/zyzc8514
Chung, S. C., Providencia, R., Sofat, R., Pujades-Rodriguez, M., Torralbo, A., Fatemifar, G., et al. (2022). Incidence, morbidity, mortality and disparities in dementia: A population linked electronic health records study of 4.3 million individuals. Alzheimers Dement. http://doi.org/10.1002/alz.12635
Wu, J., Nadarajah, R., Nakao, Y. M., Nakao, K., Wilkinson, C., Mamas, M. A., et al. (2022). Temporal trends and patterns in atrial fibrillation incidence: A population-based study of 3·4 million individuals. Lancet Reg Health Eur, 17, 100386. http://doi.org/10.1016/j.lanepe.2022.100386
Sumilo, D., Nirantharakumar, K., Willis, B. H., Rudge, G. M., Martin, J., Gokhale, K., et al. (2022). Long term impact of prophylactic antibiotic use before incision versus after cord clamping on children born by caesarean section: longitudinal study of UK electronic health records. Bmj, 377, e069704. http://doi.org/10.1136/bmj-2021-069704