Miss Roxanne Cooksey

Uchafbwyntiau Ymchwil

1. Cooksey, R., Brophy, S., Kennedy, J., Gutierrez, F., Pickles, T., Davies, R., Piguet, V., & Choy, E. (2018). Cardiovascular risk factors predicting cardiac events are different in patients with rheumatoid arthritis, psoriatic arthritis and psoriasis. Seminars in Arthritis and Rheumatism, 48

   https://doi.org/10.1016/j.semarthrit.2018.03.005, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39111
2. Brophy, S., Cooksey, R., Gravenor, M., Mistry, R., Thomas, N., Lyons, R., & Williams, R. (2009). Risk factors for childhood obesity at age 5: Analysis of the Millennium Cohort Study. BMC Public Health, 9(1), 467

   https://doi.org/10.1186/1471-2458-9-467, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10460
3. Brophy, S., Cooksey, R., Gravenor, M., Weston, C., Gravenor, M., Brophy, S., Cooksey, R., & Lyons, R. (2010). Population based absolute and relative survival to 1 year of people with diabetes following a myocardial infarction: A cohort study using hospital admissions data. BMC Public Health 2010, 10, 338

   https://doi.org/10.1186/1471-2458-10-338, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10197
4. Brophy, S., Cooksey, R., Atkinson, M., Zhou, S., Husain, M., Macey, S., Rahman, M., & Siebert, S. (2012). No Increased Rate of Acute Myocardial Infarction or Stroke Among Patients with Ankylosing Spondylitis—A Retrospective Cohort Study Using Routine Data. Seminars in Arthritis and Rheumatism

   https://doi.org/10.1016/j.semarthrit.2012.02.008, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10987
5. Brophy, S., Davies, H., Dennis, M., Cooksey, R., Husain, M., Irvine, E., & Siebert, S. (2013). Fatigue in Ankylosing Spondylitis: Treatment Should Focus on Pain Management. Seminars in Arthritis and Rheumatism, 42(4), 361-367.

   https://doi.org/10.1016/j.semarthrit.2012.06.002, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa11554
6. Davies, H., Brophy, S., Dennis, M., Cooksey, R., Irvine, E., & Siebert, S. (2013). Patient perspectives of managing fatigue in Ankylosing Spondylitis, and views on potential interventions: a qualitative study. BMC Musculoskeletal Disorders, 14(1)

   https://doi.org/10.1186/1471-2474-14-163, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15432
7. Brophy, S., Cooksey, R., Lyons, R., Thomas, N., Rodgers, S., & Gravenor, M. (2011). Parental factors associated with walking to school and participation in organised activities at age 5: Analysis of the Millennium Cohort Study. BMC Public Health, 11(1)

   https://doi.org/10.1186/1471-2458-11-14, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa19446
8. Cooksey, R., Brophy, S., Dennis, M., Davies, H., Atkinson, M., Irvine, E., Siebert, S., Davies, H., Brophy, S., Dennis, M., Cooksey, R., & Atkinson, M. (2015). Severe flare as a predictor of poor outcome in ankylosing spondylitis: a cohort study using questionnaire and routine data linkage. Rheumatology

   https://doi.org/10.1093/rheumatology/kev015, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20778
9. Cooksey, R., Brophy, S., Gravenor, M., Brooks, C., Burrows, C., Siebert, S., Gravenor, M., Brophy, S., Brooks, C., & Cooksey, R. (2010). Frequency and characteristics of disease flares in ankylosing spondylitis. Rheumatology, 49(5), 929-932.

   https://doi.org/10.1093/rheumatology/kep435, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23149

   http://europepmc.org/abstract/med/20123954
10. Cooksey, R., Husain, M., Brophy, S., Davies, H., Rahman, M., Atkinson, M., Phillips, C., Siebert, S., Phillips, C., Davies, H., Brophy, S., Cooksey, R., & Atkinson, M. (2015). The Cost of Ankylosing Spondylitis in the UK Using Linked Routine and Patient-Reported Survey Data. PLOS ONE, 10(7), e0126105

    https://doi.org/10.1371/journal.pone.0126105, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23317

    http://europepmc.org/abstract/med/26185984
11. Marchant, E., Todd, C., Cooksey, R., Dredge, S., Jones, H., Reynolds, D., Stratton, G., Dwyer, R., Lyons, R., & Brophy, S. (2019). Curriculum-based outdoor learning for children aged 9-11: A qualitative analysis of pupils’ and teachers’ views. PLOS ONE, 14(5), e0212242

    https://doi.org/10.1371/journal.pone.0212242, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50516
12. Husain, M., Brophy, S., Macey, S., Pinder, L., Atkinson, M., Cooksey, R., Phillips, C., & Siebert, S. (2012). HERALD (Health Economics using Routine Anonymised Linked Data). BMC Medical Informatics and Decision Making, 12(1)

    https://doi.org/10.1186/1472-6947-12-24, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa51525
13. Cooksey, R., Kennedy, J., Dennis, M., Escott-Price, V., Lyons, R., Seaborne, M., & Brophy, S. (2020). Proton pump inhibitors and dementia risk: Evidence from a cohort study using linked routinely collected national health data in Wales, UK. PLOS ONE, 15(9), e0237676

    https://doi.org/10.1371/journal.pone.0237676, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55833
14. Fernandez-Gutierrez, F., Kennedy, J., Cooksey, R., Atkinson, M., Choy, E., Brophy, S., Huo, L., & Zhou, S. (2021). Mining Primary Care Electronic Health Records for Automatic Disease Phenotyping: A Transparent Machine Learning Framework. Diagnostics, 11(10), 1908

    https://doi.org/10.3390/diagnostics11101908, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58381
15. Cooksey, R., Rahman, M., Kennedy, J., Brophy, S., & Choy, E. (2021). Biologic use in psoriatic arthritis and ankylosing spondylitis patients: a descriptive epidemiological study using linked, routine data in Wales, UK. Rheumatology Advances in Practice, 5(2), rkab042

    https://doi.org/10.1093/rap/rkab042, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58661
16. Fernández-Gutiérrez, F., Kennedy, J., Cooksey, R., Atkinson, M., Choy, E., Brophy, S., & Zhou, S. (2017). Development of data-driven framework for automatically identifying patient cohorts from linked electronic health records. In International Journal of Population Data ScienceSwansea University.

    https://doi.org/10.23889/ijpds.v1i1.86, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61658
17. Cooksey, R., Underwood, J., Brophy, S., Atkinson, M., Kennedy, J., & Choy, E. (2022). Shielding reduced incidence of COVID-19 in patients with inflammatory arthritis but vulnerability is associated with increased mortality. Rheumatology, 61(SI2), SI120-SI128.

    https://doi.org/10.1093/rheumatology/keac283, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62372
18. Atkinson, M., Cooksey, R., Jones, J., & Brophy, S. (2023). The coding of telephone consultations in UK primary care databases: are we picking up all the calls?. BMC Research Notes, 16(1)

    https://doi.org/10.1186/s13104-023-06325-y, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63441

    http://dx.doi.org/10.1186/s13104-023-06325-y
19. Kennedy, J., Kennedy, T., Cooksey, R., Choy, E., Siebert, S., Rahman, M., & Brophy, S. (2023). Predicting a diagnosis of ankylosing spondylitis using primary care health records–A machine learning approach. PLOS ONE, 18(3), e0279076

    https://doi.org/10.1371/journal.pone.0279076, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63908

    http://dx.doi.org/10.1371/journal.pone.0279076
20. Cooksey, R., Kennedy, J., Rahman, M., Brophy, S., & Choy, E. (2025). The pattern of anti-IL-6 versus non-anti-IL-6 biologic disease modifying anti-rheumatic drugs use in patients with rheumatoid arthritis in Wales, UK: a real-world study using electronic health records. Rheumatology Advances in Practice, 9(1), rkae140

    https://doi.org/10.1093/rap/rkae140, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa68589

Holl Ymchwil