Multimorbidity

Massen, G. M., Whittaker, H. R., Cook, S., Jenkins, G., Allen, R. J., Wain, L. V., et al. (2024). Using Routinely Collected Electronic Healthcare Record Data to Investigate Fibrotic Multimorbidity in England. Clin Epidemiol, 16, 433-443. http://doi.org/10.2147/clep.s463499
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Harrison, H., Ip, S., Renzi, C., Li, Y., Barclay, M., Usher-Smith, J., et al. (2024). Implementation and external validation of the Cambridge Multimorbidity Score in the UK Biobank cohort. Bmc Med Res Methodol, 24, 71. http://doi.org/10.1186/s12874-024-02175-9
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Gunathilaka, N. J., Gooden, T. E., Cooper, J., Flanagan, S., Marshall, T., Haroon, S., et al. (2024). Perceptions on artificial intelligence-based decision-making for coexisting multiple long-term health conditions: protocol for a qualitative study with patients and healthcare professionals. Bmj Open, 14, e077156. http://doi.org/10.1136/bmjopen-2023-077156
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Jeffery, A., Bhanu, C., Walters, K., Wong, I. C., Osborn, D., & Hayes, J. F. (2023). Polypharmacy and antidepressant acceptability in comorbid depression and type 2 diabetes: a cohort study using UK primary care data. Br J Gen Pract, 73, e392-e398. http://doi.org/10.3399/bjgp.2022.0295
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Alarilla, A., Mondor, L., Knight, H., Hughes, J., Koné, A. P., Wodchis, W. P., & Stafford, M. (2023). Socioeconomic gradient in mortality of working age and older adults with multiple long-term conditions in England and Ontario, Canada. Bmc Public Health, 23, 472. http://doi.org/10.1186/s12889-023-15370-y
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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
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Mulick, A. R., Henderson, A. D., Prieto-Merino, D., Mansfield, K. E., Matthewman, J., Quint, J. K., et al. (2022). Novel multimorbidity clusters in people with eczema and asthma: a population-based cluster analysis. Sci Rep, 12, 21866. http://doi.org/10.1038/s41598-022-26357-x
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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
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Morales, D. R., Moreno-Martos, D., Matin, N., & McGettigan, P. (2022). Health conditions in adults with HIV compared with the general population: A population-based cross-sectional analysis. Eclinicalmedicine, 47, 101392. http://doi.org/10.1016/j.eclinm.2022.101392
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Lee, S. I., Azcoaga-Lorenzo, A., Agrawal, U., Kennedy, J. I., Fagbamigbe, A. F., Hope, H., et al. (2022). Epidemiology of pre-existing multimorbidity in pregnant women in the UK in 2018: a population-based cross-sectional study. Bmc Pregnancy Childbirth, 22, 120. http://doi.org/10.1186/s12884-022-04442-3
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