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Outputs (12)

Reducing Premature Coronary Artery Disease in Malaysia by Early Identification of Familial Hypercholesterolemia Using the Familial Hypercholesterolemia Case Ascertainment Tool (FAMCAT): Protocol for a Mixed Methods Evaluation Study (2023)
Journal Article
Ramli, A. S., Qureshi, N., Abdul-Hamid, H., Kamal, A., Kanchau, J. D., Shahuri, N. S., Akyea, R. K., Silva, L., Condon, L., Abdul-Razak, S., Al-Khateeb, A., Chua, Y. A., Mohamed-Yassin, M. S., Baharudin, N., Badlishah-Sham, S. F., Aziz, A. F. A., Kasim, N. A. M., Kadir, S. H. S. A., Kai, J., Leonardi-Bee, J., & Nawawi, H. (2023). Reducing Premature Coronary Artery Disease in Malaysia by Early Identification of Familial Hypercholesterolemia Using the Familial Hypercholesterolemia Case Ascertainment Tool (FAMCAT): Protocol for a Mixed Methods Evaluation Study. JMIR Research Protocols, 12, Article e47911. https://doi.org/10.2196/47911

Background: Familial hypercholesterolemia (FH) is predominantly caused by mutations in the 4 FH candidate genes (FHCGs), namely, low-density lipoprotein receptor (LDLR), apolipoprotein B-100 (APOB-100), proprotein convertase subtilisin/kexin type 9 (... Read More about Reducing Premature Coronary Artery Disease in Malaysia by Early Identification of Familial Hypercholesterolemia Using the Familial Hypercholesterolemia Case Ascertainment Tool (FAMCAT): Protocol for a Mixed Methods Evaluation Study.

Identifying Patients with Bicuspid Aortic Valve Disease in UK Primary Care: A Case–Control Study and Prediction Model (2022)
Journal Article
Evans, W., Akyea, R. K., Weng, S., Kai, J., & Qureshi, N. (2022). Identifying Patients with Bicuspid Aortic Valve Disease in UK Primary Care: A Case–Control Study and Prediction Model. Journal of Personalized Medicine, 12(8), Article 1290. https://doi.org/10.3390/jpm12081290

Bicuspid aortic valve disease (BAV) is the most common congenital heart condition, and early detection can improve outcomes for patients. In this case–control study, patients with a diagnosis of BAV were identified from their electronic primary-care... Read More about Identifying Patients with Bicuspid Aortic Valve Disease in UK Primary Care: A Case–Control Study and Prediction Model.