Dr RALPH AKYEA's Outputs (7)

Lipid levels and major adverse cardiovascular events in patients initiated on statins for primary prevention: an international population-based cohort study protocol (2020)
Journal Article
Blais, J. E., Akyea, R. K., Coetzee, A., Chan, A. H., Lau, W. C., Man, K. K., …Weng, S. (2021). Lipid levels and major adverse cardiovascular events in patients initiated on statins for primary prevention: an international population-based cohort study protocol. BJGP Open, 5(1), 1-9. https://doi.org/10.3399/bjgpopen20X101127

Background: Clinical guidelines recommend specific targets for low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) for primary prevention of cardiovascular disease (CVD). Furthermore, individual variab... Read More about Lipid levels and major adverse cardiovascular events in patients initiated on statins for primary prevention: an international population-based cohort study protocol.

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.

Does acupressure help reduce nausea and vomiting in palliative care patients? A double blind randomised controlled trial (2020)
Journal Article
Perkins, P., Parkinson, A., Parker, R., Blaken, A., & Akyea, R. K. (2020). Does acupressure help reduce nausea and vomiting in palliative care patients? A double blind randomised controlled trial. BMJ Supportive and Palliative Care, 12, 58-63. https://doi.org/10.1136/bmjspcare-2020-002434

Introduction: Nausea and vomiting are common symptoms for patients with advanced cancer. While there is evidence for acupuncture point stimulation for treatment of these symptoms for patients having anticancer treatment, there is little for when they... Read More about Does acupressure help reduce nausea and vomiting in palliative care patients? A double blind randomised controlled trial.

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.

Nasal fentanyl alone plus buccal midazolam: an open-label, randomised, controlled feasibility study in the dying (2020)
Journal Article
Perkins, P., Parkinson, A., Akyea, R. K., & Husbands, E. (2020). Nasal fentanyl alone plus buccal midazolam: an open-label, randomised, controlled feasibility study in the dying. BMJ Supportive and Palliative Care, 10(3), 300-303. https://doi.org/10.1136/bmjspcare-2019-002029

Introduction: Many patients want to stay at home to die. They invariably become unable to take oral medication during their terminal phase. Symptoms are usually controlled by subcutaneous medications. There have been no studies on nasal fentanyl (NF)... Read More about Nasal fentanyl alone plus buccal midazolam: an open-label, randomised, controlled feasibility study in the dying.