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All Outputs (10)

Evaluating a clinical tool (FAMCAT) for identifying familial hypercholesterolaemia in primary care: a retrospective cohort study (2020)
Journal Article
Akyea, R. K., Qureshi, N., Kai, J., de Lusignan, S., Sherlock, J., McGee, C., & Weng, S. (2020). Evaluating a clinical tool (FAMCAT) for identifying familial hypercholesterolaemia in primary care: a retrospective cohort study. BJGP Open, 4(5), 1-10. https://doi.org/10.3399/bjgpopen20X101114

Background: Familial hypercholesterolaemia (FH) is an inherited lipid disorder causing premature heart disease, which is severely underdiagnosed. Improving the identification of people with FH in primary care settings would help to reduce avoidable h... Read More about Evaluating a clinical tool (FAMCAT) for identifying familial hypercholesterolaemia in primary care: a retrospective cohort study.

Performance and clinical utility of supervised machine-learning approaches in detecting familial hypercholesterolaemia in primary care (2020)
Journal Article
Akyea, R. K., Qureshi, N., Kai, J., & Weng, S. F. (2020). Performance and clinical utility of supervised machine-learning approaches in detecting familial hypercholesterolaemia in primary care. npj Digital Medicine, 3(1), Article 142. https://doi.org/10.1038/s41746-020-00349-5

Familial hypercholesterolaemia (FH) is a common inherited disorder, causing lifelong elevated low-density lipoprotein cholesterol (LDL-C). Most individuals with FH remain undiagnosed, precluding opportunities to prevent premature heart disease and de... Read More about Performance and clinical utility of supervised machine-learning approaches in detecting familial hypercholesterolaemia in primary care.

Data?driven machine?learning analysis of potential embolic sources in embolic stroke of undetermined source (2020)
Journal Article
Ntaios, G., Weng, S. F., Perlepe, K., Akyea, R., Condon, L., Lambrou, D., …Michel, P. (2021). Data‐driven machine‐learning analysis of potential embolic sources in embolic stroke of undetermined source. European Journal of Neurology, 28(1), 192-201. https://doi.org/10.1111/ene.14524

Background: Hierarchical clustering, a common “unsupervised” machine‐learning algorithm, is advantageous for exploring potential underlying aetiology in particularly heterogeneous diseases. We investigated potential embolic sources in ESUS using a da... Read More about Data?driven machine?learning analysis of potential embolic sources in embolic stroke of undetermined source.

Predicting major adverse cardiovascular events for secondary prevention: protocol for a systematic review and meta-analysis of risk prediction models (2020)
Journal Article
Akyea, R. K., Leonardi-Bee, J., Asselbergs, F. W., Patel, R. S., Durrington, P., Wierzbicki, A. S., …Weng, S. F. (2020). Predicting major adverse cardiovascular events for secondary prevention: protocol for a systematic review and meta-analysis of risk prediction models. BMJ Open, 10(7), Article e034564. https://doi.org/10.1136/bmjopen-2019-034564

Introduction: Cardiovascular disease (CVD) is the leading cause of morbidity and mortality globally. With advances in early diagnosis and treatment of CVD and increasing life expectancy, more people are surviving initial CVD events. However, models t... Read More about Predicting major adverse cardiovascular events for secondary prevention: protocol for a systematic review and meta-analysis of risk prediction models.

Risk of cardiovascular disease outcomes in primary care subjects with familial hypercholesterolaemia: A cohort study (2019)
Journal Article
Iyen, B., Qureshi, N., Leonardi-Bee, J., Kai, J., Akyea, R. K., Roderick, P., …Weng, S. (2019). Risk of cardiovascular disease outcomes in primary care subjects with familial hypercholesterolaemia: A cohort study. Atherosclerosis, 287, 8-15. https://doi.org/10.1016/j.atherosclerosis.2019.05.017

Background and aims: Familial hypercholesterolaemia (FH) is a known major cause of premature heart disease. However, the risks of atherosclerotic disease in other vascular regions are less known. We determined the risk of major cardiovascular disease... Read More about Risk of cardiovascular disease outcomes in primary care subjects with familial hypercholesterolaemia: A cohort study.

Detection of familial hypercholesterolaemia: external validation of the FAMCAT clinical case-finding algorithm to identify patients in primary care (2019)
Journal Article
Weng, S., Kai, J., Akyea, R., & Qureshi, N. (2019). Detection of familial hypercholesterolaemia: external validation of the FAMCAT clinical case-finding algorithm to identify patients in primary care. Lancet Public Health, 4(5), e256-e264. https://doi.org/10.1016/S2468-2667%2819%2930061-1

Background: The vast majority of individuals with familial hypercholesterolaemia (FH) in the general population remain unidentified worldwide. Recognising patients most at risk of having the condition, to enable targeted specialist assessment and tre... Read More about Detection of familial hypercholesterolaemia: external validation of the FAMCAT clinical case-finding algorithm to identify patients in primary care.

Sub-optimal cholesterol response to initiation of statins and future risk of cardiovascular disease (2019)
Journal Article
Akyea, R., Kai, J., Qureshi, N., Iyen, B., & Weng, S. (2019). Sub-optimal cholesterol response to initiation of statins and future risk of cardiovascular disease. Heart, 105(13), 975-981. https://doi.org/10.1136/heartjnl-2018-314253

Objective: To assess low-density lipoprotein cholesterol (LDL-C) response in patients after initiation of statins, and future risk of CVD. Method: Prospective cohort study of 165,411 primary care patients, from the UK Clinical Practice Research... Read More about Sub-optimal cholesterol response to initiation of statins and future risk of cardiovascular disease.

A systematic review showing the lack of diagnostic criteria and tools developed for lower limb cellulitis (2019)
Journal Article
Patel, M., Lee, S. I., Akyea, R. K., Grindlay, D., Francis, N., Levell, N. J., …Thomas, K. (2019). A systematic review showing the lack of diagnostic criteria and tools developed for lower limb cellulitis. British Journal of Dermatology, 181(6), 1156-1165. https://doi.org/10.1111/bjd.17857

Background: Cellulitis can be a difficult diagnosis to make. 31% of patients admitted from the emergency department with suspected lower limb cellulitis are misdiagnoses, with incorrect treatment potentially resulting in avoidable hospital admission... Read More about A systematic review showing the lack of diagnostic criteria and tools developed for lower limb cellulitis.