All Outputs (6)

Prevalence of Cardiovascular Risk Factors in Osteoarthritis Patients Derived from Primary Care Records: A Systematic Review of Observational Studies. (2021)
Journal Article
Huang, X., Wilkie, R., Mamas, M., & Yu, D. (2021). Prevalence of Cardiovascular Risk Factors in Osteoarthritis Patients Derived from Primary Care Records: A Systematic Review of Observational Studies. Journal of Diabetes and Clinical Research, 3(3), https://doi.org/10.33696/diabetes.3.042

Background: People with osteoarthritis are at a high risk of cardiovascular disease (CVD). Detecting CVD risk factors in this high-risk population will help to improve CVD outcomes. Primary care electronic health records (EHRs) provide opportunities... Read More about Prevalence of Cardiovascular Risk Factors in Osteoarthritis Patients Derived from Primary Care Records: A Systematic Review of Observational Studies..

496Higher predicted 10-year risk for cardiovascular disease in primary care consulters for osteoarthritis (2021)
Journal Article
Huang, M., Yu, D., Wilkie, R., & Mamas, M. (2021). 496Higher predicted 10-year risk for cardiovascular disease in primary care consulters for osteoarthritis. International Journal of Epidemiology, i105 - i105. https://doi.org/10.1093/ije/dyab168.295

<jats:title>Abstract</jats:title> <jats:sec> <jats:title>Background</jats:title> <jats:p>Osteoarthritis (OA) has a major impact on the global burden of disease and is associated with poorer cardiovascular disease (CVD) outcomes. However it’s unclear... Read More about 496Higher predicted 10-year risk for cardiovascular disease in primary care consulters for osteoarthritis.

338 Modelling the population distribution of patient-reported outcomes using electronic health records: a UK study (2021)
Presentation / Conference Contribution
Yu, D., Jordan, K., Bailey, J., Peat, G., & Wilkie, R. 338 Modelling the population distribution of patient-reported outcomes using electronic health records: a UK study

Background
Patient Reported Outcome Measures (PROM) collected in surveys allow understanding of the health at the population-level. We aimed to test the feasibility of estimating health status as measured by PROMs through ecological prediction model... Read More about 338 Modelling the population distribution of patient-reported outcomes using electronic health records: a UK study.

OP0259-HPR THE EFFECT OF OSTEOARTHRITIS ON HEALTHY WORKING LIFE EXPECTANCY AT AGE 50 IN ENGLAND (2021)
Presentation / Conference Contribution
Lynch, M., Bucknall, M., Jagger, C., & Wilkie, R. OP0259-HPR THE EFFECT OF OSTEOARTHRITIS ON HEALTHY WORKING LIFE EXPECTANCY AT AGE 50 IN ENGLAND. Presented at EULAR - European Congress of Rheumatology - 2-5 June 2021, Virtual

Retirement ages are rising in many countries due to population ageing and increasing life expectancy. However, poor health, comorbidity and workplace factors are major reasons for work absence and it is unclear if people in later working-age life (ag... Read More about OP0259-HPR THE EFFECT OF OSTEOARTHRITIS ON HEALTHY WORKING LIFE EXPECTANCY AT AGE 50 IN ENGLAND.

Prevalence of cardiovascular risk factors in osteoarthritis patients derived from primary care records: a systematic review of observational studies (2021)
Journal Article
Huang, X., Wilkie, R., Mamas, M., & Yu, D. (2021). Prevalence of cardiovascular risk factors in osteoarthritis patients derived from primary care records: a systematic review of observational studies. MedRxiv, https://doi.org/10.1101/2021.02.14.21251130v1

<h4>Background</h4> People with osteoarthritis are at a high risk of cardiovascular disease (CVD). Detecting CVD risk factors in this high-risk population will help to improve CVD outcomes. Primary care electronic health records (EHRs) provide opport... Read More about Prevalence of cardiovascular risk factors in osteoarthritis patients derived from primary care records: a systematic review of observational studies.

Estimating the population health burden of musculoskeletal conditions using primary care electronic health records (2021)
Journal Article
Yu, D., Peat, G., Jordan, K., Bailey, J., Prieto-Alhambra, D., Robinson, D., Strauss, V., Walker-Bone, K., Silman, A., Mamas, M., Blackburn, S., Dent, S., Dunn, K., Judge, A., Protheroe, J., & Wilkie, R. (2021). Estimating the population health burden of musculoskeletal conditions using primary care electronic health records. Rheumatology, 60(10), 4832-4843. https://doi.org/10.1093/rheumatology/keab109

Objectives
Better indicators from affordable, sustainable data sources are needed to monitor population burden of musculoskeletal conditions. We propose five indicators of musculoskeletal health and assessed if routinely available primary care elect... Read More about Estimating the population health burden of musculoskeletal conditions using primary care electronic health records.