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Challenges and opportunities for identifying people with familial hypercholesterolemia in the UK: Evidence from the
Edward Cox1, Rita Faria2, Pedro Saramago2
1Centre for Health Economics, University of York, UK, YO10 5DD; Nottingham Clinical Trials Unit, School of Medicine, University of Nottingham, Nottingham, UK, NG7 2RD.
Insights
Familial hypercholesterolemia (FH) cascade testing in the UK identifies fewer than a third of relatives. Improving FH genetic testing requires better family integration and direct outreach, especially to men.
Area of Science:
- Genetics
- Cardiovascular Medicine
- Public Health
Background:
- Familial hypercholesterolemia (FH) is a genetic disorder causing high LDL cholesterol.
- Cascade testing of relatives is effective but UK implementation varies.
Purpose of the Study:
- Evaluate UK FH cascade testing yields.
- Identify obstacles and predictors of success in FH cascade services.
Main Methods:
- Analyzed electronic health records from 875 index families and 5,958 relatives in Welsh and Wessex FH services (2019).
- Used logistic regression to estimate testing rates, detection yields, and factors influencing relative testing.
Main Results:
- Average of 2.41 relatives tested and 1.35 diagnosed with FH per index.
- Testing limited by age, risk status, and service reach (1 in 4 relatives out-of-area).
- First-degree relatives, directly contacted individuals, and women were more likely to be tested.
Conclusions:
- Less than one-third of FH relatives are tested in Wales and Wessex.
- Enhance cascade testing via family integration, direct outreach, and increased male participation.
Background:
Familial hypercholesterolemia (FH) is a monogenic disorder that causes high levels of low-density lipoprotein (LDL) cholesterol. Cascade testing, where relatives of known individuals with FH ('index') are genetically tested, is effective and cost-effective, but implementation in the UK varies.
Objective:
This study aims to provide evidence on current UK FH cascade yields and to identify common obstacles cascade services face and individual- and service-level predictors of success.
Methods:
Electronic health records from 875 index families and 5,958 linked relatives in the UK's Welsh and Wessex FH services (2019) were used to explore causes for non-testing and to estimate testing rates, detection yields, and how relative characteristics and contact methods relate to the probability of relatives being tested (using logistic regression).
Results:
In Wales (Wessex), families included 7.35 (7.01) members on average, with 2.41 (1.66) relatives tested and 1.35 (0.96) diagnosed with FH per index. Cascade testing is limited by individualized circumstances (too young, not at-risk, etc.) and FH services' reach, with approximately one in four relatives out-of-area. In Wales, first-degree relatives (odds ratio (OR): 1.55 [95% confidence interval (CI): 1.28, 1.88]) and directly contacted relatives (OR: 2.11 [CI: 1.66, 2.69]) were more likely to be tested. In Wales and Wessex, women were more likely to be tested than men (ORs: 1.53 [CI: 1.28, 1.85] and 1.74 [CI: 1.32, 2.27]).
Conclusion:
In Wales and Wessex less than a third of relatives of an index are tested for FH. Improvements are likely possible by integrating geographically dispersed families into cascade testing, services directly contacting relatives where possible, and finding new ways to encourage participation, particularly amongst men.
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