S. Brophy

First name

S.

Last name

Brophy

Lee, S. I., Hope, H., O'Reilly, D., Kent, L., Santorelli, G., Subramanian, A., et al. (2023). Maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions: protocol for an observational study in the UK. Bmj Open, 13, e068718. http://doi.org/10.1136/bmjopen-2022-068718

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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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Wambua, S., Crowe, F., Thangaratinam, S., O'Reilly, D., McCowan, C., Brophy, S., et al. (2022). Protocol for development and validation of postpartum cardiovascular disease (CVD) risk prediction model incorporating reproductive and pregnancy-related candidate predictors. Diagn Progn Res, 6, 23. http://doi.org/10.1186/s41512-022-00137-7

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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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Eastwood, S. V., Mathur, R., Atkinson, M., Brophy, S., Sudlow, C., Flaig, R., et al. (2016). Algorithms for the Capture and Adjudication of Prevalent and Incident Diabetes in UK Biobank. PLoS One. http://doi.org/10.1371/journal.pone.0162388

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