Outputs (19)

Uptake, effectiveness and safety of COVID-19 vaccines in individuals at clinical risk due to immunosuppressive drug therapy or transplantation procedures: a population-based cohort study in England (2024)
Journal Article
Chen, D. T.-H., Copland, E., Hirst, J. A., Mi, E., Dixon, S., Coupland, C., & Hippisley-Cox, J. (2024). Uptake, effectiveness and safety of COVID-19 vaccines in individuals at clinical risk due to immunosuppressive drug therapy or transplantation procedures: a population-based cohort study in England. BMC Medicine, 22(1), Article 237. https://doi.org/10.1186/s12916-024-03457-1

Background: Immunocompromised individuals are at increased risk of severe COVID-19 outcomes, underscoring the importance of COVID-19 vaccination in this population. The lack of comprehensive real world data on vaccine uptake, effectiveness and safety... Read More about Uptake, effectiveness and safety of COVID-19 vaccines in individuals at clinical risk due to immunosuppressive drug therapy or transplantation procedures: a population-based cohort study in England.

Safety outcomes following COVID-19 vaccination and infection in 5.1 million children in England (2024)
Journal Article
Copland, E., Patone, M., Saatci, D., Handunnetthi, L., Hirst, J., Hunt, D. P. J., …Hippisley-Cox, J. (2024). Safety outcomes following COVID-19 vaccination and infection in 5.1 million children in England. Nature Communications, 15(1), Article 3822. https://doi.org/10.1038/s41467-024-47745-z

The risk-benefit profile of COVID-19 vaccination in children remains uncertain. A self-controlled case-series study was conducted using linked data of 5.1 million children in England to compare risks of hospitalisation from vaccine safety outcomes af... Read More about Safety outcomes following COVID-19 vaccination and infection in 5.1 million children in England.

Fatigue during the COVID-19 pandemic – prevalence and predictors: findings from a prospective cohort study (2024)
Journal Article
Kalfas, M., Ayling, K., Jia, R., Coupland, C., Vedhara, K., & Chalder, T. (2024). Fatigue during the COVID-19 pandemic – prevalence and predictors: findings from a prospective cohort study. Stress, 27(1), Article 2352117. https://doi.org/10.1080/10253890.2024.2352117

The COVID-19 pandemic and consequent lockdowns had a substantial impact on mental health. Distress and fatigue are highly correlated. However, little is known about the determinants of fatigue in the general population during the pandemic. This study... Read More about Fatigue during the COVID-19 pandemic – prevalence and predictors: findings from a prospective cohort study.

Predicting the risk of pancreatic cancer in adults with new-onset diabetes: development and internal–external validation of a clinical risk prediction model (2024)
Journal Article
Clift, A. K., Tan, P. S., Patone, M., Liao, W., Coupland, C., Bashford-Rogers, R., …Hippisley-Cox, J. (2024). Predicting the risk of pancreatic cancer in adults with new-onset diabetes: development and internal–external validation of a clinical risk prediction model. British Journal of Cancer, https://doi.org/10.1038/s41416-024-02693-9

Background: The National Institute for Health and Care Excellence (NICE) recommends that people aged 60+ years with newly diagnosed diabetes and weight loss undergo abdominal imaging to assess for pancreatic cancer. More nuanced stratification could... Read More about Predicting the risk of pancreatic cancer in adults with new-onset diabetes: development and internal–external validation of a clinical risk prediction model.

Development and validation of a new algorithm for improved cardiovascular risk prediction (2024)
Journal Article
Hippisley-Cox, J., Coupland, C. A. C., Bafadhel, M., Russell, R. E. K., Sheikh, A., Brindle, P., & Channon, K. M. (2024). Development and validation of a new algorithm for improved cardiovascular risk prediction. Nature Medicine, 30, 1440-1447. https://doi.org/10.1038/s41591-024-02905-y

QRISK algorithms use data from millions of people to help clinicians identify individuals at high risk of cardiovascular disease (CVD). Here, we derive and externally validate a new algorithm, which we have named QR4, that incorporates novel risk fac... Read More about Development and validation of a new algorithm for improved cardiovascular risk prediction.

Effectiveness and safety of COVID-19 vaccination in people with blood cancer (2024)
Journal Article
Copland, E., Hirst, J., Mi, E., Patone, M., Chen, D., Coupland, C., & Hippisley-Cox, J. (2024). Effectiveness and safety of COVID-19 vaccination in people with blood cancer. European Journal of Cancer, 201, Article 113603. https://doi.org/10.1016/j.ejca.2024.113603

Background People with blood cancer have increased risk of severe COVID-19 outcomes and poor response to vaccination. We assessed the safety and effectiveness of COVID-19 vaccines in this vulnerable group compared to the general population. Methods... Read More about Effectiveness and safety of COVID-19 vaccination in people with blood cancer.

Dynamic updating of clinical survival prediction models in a changing environment (2023)
Journal Article
Tanner, K. T., Keogh, R. H., Coupland, C. A. C., Hippisley-Cox, J., & Diaz-Ordaz, K. (2023). Dynamic updating of clinical survival prediction models in a changing environment. Diagnostic and Prognostic Research, 7, Article 24. https://doi.org/10.1186/s41512-023-00163-z

Background Over time, the performance of clinical prediction models may deteriorate due to changes in clinical management, data quality, disease risk and/or patient mix. Such prediction models must be updated in order to remain useful. In this study... Read More about Dynamic updating of clinical survival prediction models in a changing environment.

Causal association between subtypes of osteoarthritis and common comorbidities: A Mendelian randomisation study (2023)
Journal Article
Thompson, W., Swain, S., Zhao, S. S., Kamps, A., Coupland, C., Kuo, C., …Zhang, W. (2023). Causal association between subtypes of osteoarthritis and common comorbidities: A Mendelian randomisation study. Osteoarthritis and Cartilage Open, 5(4), Article 100414. https://doi.org/10.1016/j.ocarto.2023.100414

Objective To investigate the causal association between Osteoarthritis (OA) and five comorbidities: depression, tiredness, multisite chronic pain, irritable bowel syndrome (IBS) and gout.... Read More about Causal association between subtypes of osteoarthritis and common comorbidities: A Mendelian randomisation study.

Development and validation of a novel risk prediction algorithm to estimate 10-year risk of oesophageal cancer in primary care: prospective cohort study and evaluation of performance against two other risk prediction models (2023)
Journal Article
Hippisley-Cox, J., Mei, W., Fitzgerald, R., & Coupland, C. (2023). Development and validation of a novel risk prediction algorithm to estimate 10-year risk of oesophageal cancer in primary care: prospective cohort study and evaluation of performance against two other risk prediction models. The Lancet Regional Health Europe, 32, Article 100700. https://doi.org/10.1016/j.lanepe.2023.100700

Background: Methods to identify patients at increased risk of oesophageal cancer are needed to better identify those for targeted screening. We aimed to derive and validate novel risk prediction algorithms (CanPredict) to estimate the 10-year risk of... Read More about Development and validation of a novel risk prediction algorithm to estimate 10-year risk of oesophageal cancer in primary care: prospective cohort study and evaluation of performance against two other risk prediction models.

Risk prediction of covid-19 related death or hospital admission in adults testing positive for SARS-CoV-2 infection during the omicron wave in England (QCOVID4): cohort study (2023)
Journal Article
Hippisley-Cox, J., Khunti, K., Sheikh, A., Nguyen-Van-Tam, J. S., & Coupland, C. A. (2023). Risk prediction of covid-19 related death or hospital admission in adults testing positive for SARS-CoV-2 infection during the omicron wave in England (QCOVID4): cohort study. British Medical Journal, 381, Article e072976. https://doi.org/10.1136/bmj-2022-072976

Objectives To derive and validate risk prediction algorithms (QCOVID4) to estimate the risk of covid-19 related death and hospital admission in people with a positive SARS-CoV-2 test result during the period when the omicron variant of the virus was... Read More about Risk prediction of covid-19 related death or hospital admission in adults testing positive for SARS-CoV-2 infection during the omicron wave in England (QCOVID4): cohort study.