Professor NADEEM QURESHI's Outputs (24)

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.

Quantifying the effects of risk-stratified breast cancer screening when delivered in real time as routine practice versus usual screening: the BC-Predict non-randomised controlled study (NCT04359420) (2023)
Journal Article
Gareth Evans, D., McWilliams, L., Astley, S., Brentnall, A. R., Cuzick, J., Dobrashian, R., Duffy, S. W., Gorman, L. S., Harkness, E. F., Harrison, F., Harvie, M., Jerrison, A., Machin, M., Maxwell, A. J., Howell, S. J., Wright, S. J., Payne, K., Qureshi, N., Ruane, H., Southworth, J., …French, D. P. (2023). Quantifying the effects of risk-stratified breast cancer screening when delivered in real time as routine practice versus usual screening: the BC-Predict non-randomised controlled study (NCT04359420). British Journal of Cancer, 128, 2063-2071. https://doi.org/10.1038/s41416-023-02250-w

Background
Risk stratification as a routine part of the NHS Breast Screening Programme (NHSBSP) could provide a better balance of benefits and harms. We developed BC-Predict, to offer women when invited to the NHSBSP, which collects standard risk fa... Read More about Quantifying the effects of risk-stratified breast cancer screening when delivered in real time as routine practice versus usual screening: the BC-Predict non-randomised controlled study (NCT04359420).

Case Series of Genetically Confirmed Index Cases of Familial Hypercholesterolemia in Primary Care (2023)
Journal Article
Kamal, A., Kanchau, J. D., Shahuri, N. S., Mohamed-Yassin, M. S., Baharudin, N., Razak, S. A., Badlishah-Sham, S. F., Abdul-Hamid, H., Aziz, A. F. A., Al-Khateeb, A., Chua, Y. A., Kasim, N. A. M., Kadir, S. H. S. A., Nawawi, H., Qureshi, N., & Ramli, A. S. (2023). Case Series of Genetically Confirmed Index Cases of Familial Hypercholesterolemia in Primary Care. American Journal of Case Reports, 24, Article e939489. https://doi.org/10.12659/AJCR.939489

BACKGROUND: In Malaysia, the prevalence of genetically confirmed heterozygous familial hypercholesterolemia (FH) was reported as 1 in 427. Despite this, FH remains largely underdiagnosed and undertreated in primary care.

CASE REPORT: In this case... Read More about Case Series of Genetically Confirmed Index Cases of Familial Hypercholesterolemia in Primary Care.

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.