Integrating Whole Genome Sequencing and Digital Twins Into the Management of Hypercholesterolemia in Emiratis

Recruiting now · Not applicable

Conditions studied: Hypercholesterolemia, Autosomal Dominant, Hypercholesterolemia, Autosomal Recessive, Familial Combined Hypercholesterolemia

In brief

This pilot study investigates integrating whole genome sequencing and digital twin technology for managing hypercholesterolemia in Abu Dhabi clinics. It aims to establish protocols for larger future studies and incorporate genomic insights into routine medical care.

Key facts

Study ID

NCT06535542

Run by

Abu Dhabi Health Services Company

People needed

40

Starts

2024-07-29

Expected to finish

2026-07-15

Last updated by the study team

2025-03-25

Who can join

Age: 18 and older, up to 55. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Patients with 2 or more LDL-C levels greater than 190 mg/dL or 5.0 mmol/L in the past 12 months
• Undiagnosed patients meeting Possible, Probable or Definitive FH criteria according to Dutch Lipid Clinic Network (DLCN) criteria (Eur Heart J. 2011 Jul;32(14):1769-818. doi: 10.1093/eurheartj/ehr158. Epub 2011 Jun 28.)
• Patients who have not been on anti-lipidemic medication in the past 3 months
• Ages 18-55
• Emirati national
• All patients must be fluent in English or Arabic

You may not qualify if…

• - Patients who do not meet the above criteria
• Patients with a previous diagnosis of FH
• Patients with a progressive debilitating illness
• Patient with untreated hypothyroidism, history of proteinuria, obstructive liver disease, chronic renal failure, human immunodeficiency virus infection, or on immunosuppressant or steroid or psychiatric medications
• Patients with untreated clinical anxiety or depression (as measured by a Hospital Anxiety and Depression Scale (HADS) score of ≥ 16 on the depression subscale)
• Patients who are pregnant

Where it is running

• Abu Dhabi Health Research Center — Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates (enrolling)

Full record on ClinicalTrials.gov

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