Risk Assessment

Fisher, T. ., Archer, C. ., Bailey, J. ., Evans, J. ., Kessler, D. S., Kingstone, T. ., … Chew-Graham, C. . (2024). Could primary care records be used to identify women at risk of perinatal anxiety? A mixed-methods study. Br J Gen Pract, 74. http://doi.org/10.3399/bjgp24X737673
Apenteng, P. N., Prieto-Merino, D. ., Hee, S. W., Lobban, T. C., Caleyachetty, R. ., & Fitzmaurice, D. A. (2023). Optimising prediction of mortality, stroke, and major bleeding for patients with atrial fibrillation: validation of the GARFIELD-AF tool in UK primary care electronic records. Br J Gen Pract, 73, e816-e824. http://doi.org/10.3399/bjgp.2023.0082
Schene, M. R., Wyers, C. E., Driessen, A. M. H., Souverein, P. C., Gemmeke, M. ., van den Bergh, J. P., & Willems, H. C. (2023). Imminent fall risk after fracture. Age Ageing, 52. http://doi.org/10.1093/ageing/afad201
Chung, R. ., Xu, Z. ., Arnold, M. ., Stevens, D. ., Keogh, R. ., Barrett, J. ., … Wood, A. M. (2023). Prioritising cardiovascular disease risk assessment to high risk individuals based on primary care records. PLoS One, 18, e0292240. http://doi.org/10.1371/journal.pone.0292240
Wamil, M. ., Hassaine, A. ., Rao, S. ., Li, Y. ., Mamouei, M. ., Canoy, D. ., … Salimi-Khorshidi, G. . (2023). Stratification of diabetes in the context of comorbidities, using representation learning and topological data analysis. Sci Rep, 13, 11478. http://doi.org/10.1038/s41598-023-38251-1
Livingstone, S. ., Morales, D. R., Fleuriot, J. ., Donnan, P. T., & Guthrie, B. . (2023). External validation of the QLifetime cardiovascular risk prediction tool: population cohort study. BMC Cardiovasc Disord, 23, 194. http://doi.org/10.1186/s12872-023-03209-8
Livingstone, S. J., Guthrie, B. ., McMinn, M. ., Eke, C. ., Donnan, P. T., & Morales, D. R. (2023). Derivation and validation of the CFracture competing risk fracture prediction tool compared with QFracture in older people and people with comorbidity: a population cohort study. Lancet Healthy Longev, 4, e43-e53. http://doi.org/10.1016/s2666-7568(22)00290-2
. Y. Sun, L. ., Zghebi, S. S., Eddeen, A. B., Liu, P. P., Lee, D. S., Tu, K. ., … Mamas, M. A. (2022). Derivation and External Validation of a Clinical Model to Predict Heart Failure Onset in Patients With Incident Diabetes. Diabetes Care, 45, 2737–2745. http://doi.org/10.2337/dc22-0894
Rapsomaniki, E. ., Shah, A. ., Perel, P. ., Denaxas, S. ., George, J. ., Nicholas, O. ., … Hemingway, H. . (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
Rebordosa, C. ., Plana, E. ., Rubino, A. ., Aguado, J. ., Martinez, D. ., Lei, A. ., … Rivero-Ferrer, E. . (2022). Risk Assessment of Acute Myocardial Infarction and Stroke Associated with Long-Acting Muscarinic Antagonists, Alone or in Combination, versus Long-Acting beta2-Agonists. Int J Chron Obstruct Pulmon Dis, 17, 1715–1733. http://doi.org/10.2147/copd.s363997