Risk Factors

Yapa, A., Humes, D. J., Crooks, C. J., & Lewis-Lloyd, C. A. (2023). Venous thromboembolism following colectomy for diverticular disease: an English population-based cohort study. Langenbecks Arch Surg, 408, 203. http://doi.org/10.1007/s00423-023-02920-6
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
Perni, S., Bojan, B., & Prokopovich, P. (2023). A retrospective study of risk factors, causative micro-organisms and healthcare resources consumption associated with prosthetic joint infections (PJI) using the Clinical Practice Research Datalink (CPRD) Aurum database. Plos One, 18, e0282709. http://doi.org/10.1371/journal.pone.0282709
Crowe, H. M., Wesselink, A. K., Hatch, E. E., Wise, L. A., & Jick, S. S. (2023). Migraine and risk of hypertensive disorders of pregnancy: A population-based cohort study. Cephalalgia, 43, 3331024231161746. http://doi.org/10.1177/03331024231161746
Fahmi, A., Wong, D., Walker, L., Buchan, I., Pirmohamed, M., Sharma, A., et al. (2023). Combinations of medicines in patients with polypharmacy aged 65-100 in primary care: Large variability in risks of adverse drug related and emergency hospital admissions. Plos One, 18, e0281466. http://doi.org/10.1371/journal.pone.0281466
Subramanian, A., Azcoaga-Lorenzo, A., Anand, A., Phillips, K., Lee, S. I., Cockburn, N., et al. (2023). Polypharmacy during pregnancy and associated risk factors: a retrospective analysis of 577 medication exposures among 1.5 million pregnancies in the UK, 2000-2019. Bmc Med, 21, 21. http://doi.org/10.1186/s12916-022-02722-5
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., et al. (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
Elwenspoek, M. M., Thom, H., Sheppard, A. L., Keeney, E., O'Donnell, R., Jackson, J., et al. (2022). Defining the optimum strategy for identifying adults and children with coeliac disease: systematic review and economic modelling. Health Technol Assess, 26, 1-310. http://doi.org/10.3310/zuce8371
Conrad, N., Verbeke, G., Molenberghs, G., Goetschalckx, L., Callender, T., Cambridge, G., et al. (2022). Autoimmune diseases and cardiovascular risk: a population-based study on 19 autoimmune diseases and 12 cardiovascular diseases in 22 million individuals in the UK. Lancet, 400, 733-743. http://doi.org/10.1016/s0140-6736(22)01349-6