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Identifying patients with familial hypercholesterolaemia in primary care: an informatics-based approach in one
J Gray1, A Jaiyeola, M Whiting
1Wandsworth Primary Care Research Group, Bolingbroke Hospital, London, UK. jeremygray@nhs.net
Insights
Computer and medical record searches can identify undiagnosed familial hypercholesterolaemia (FH) cases in primary care. This approach can uncover new index cases for family screening programs, improving cardiovascular disease prevention.
Area of Science:
- Cardiovascular Medicine
- Genetics
- Public Health
Background:
- Familial hypercholesterolaemia (FH) is an autosomal dominant condition causing high LDL-cholesterol and early cardiovascular disease.
- The UK lacks a national screening program, leaving most FH cases undiagnosed.
- Identifying index cases is crucial for cascade screening of affected families.
Purpose of the Study:
- To evaluate combined computer and notes-based searches for identifying FH index cases in primary care.
- To determine the extent of overlap between primary and secondary care FH case identification.
Main Methods:
- Conducted four computer searches in a South London general practice (12,100 patients).
- Reviewed selected patient notes using a Dutch score for FH probability.
- GP and consultant lipidologist assessed cases.
Main Results:
- 3.3% of patients (402/12,100) required notes review.
- Identified 12 definite and 8 probable FH cases, many previously unknown to primary or secondary care.
- 54% of reviewed patients were possible FH cases, with 21.8% warranting further investigation.
Conclusions:
- Primary care holds both diagnosed and undiagnosed FH cases not known to secondary care.
- Computer-assisted searches effectively identify potential FH index cases.
- Significant potential exists to initiate family cascade screening through primary care identification.
Background:
Familial hypercholesterolaemia (FH) is associated with highly raised low-density lipoprotein-cholesterol and causes early-onset cardiovascular disease. Its autosomal dominant inheritance allows family cascade screening to be performed once an index case has been identified. However, the vast majority of people with FH in the United Kingdom have not been identified, and there is no national screening programme.
Objective:
To assess the utility of combined computer- and notes-based searches in identifying index cases of FH in primary care, and to uncover the degree of case overlap with secondary care.
Methods:
Four computer searches were conducted in one South London practice with a registered population of 12,100 patients. Selected notes were reviewed by a general practitioner and consultant lipidologist to give a Dutch score for the probability of FH.
Results:
402/12,100 (3.3%) patients had a Dutch score high enough to require a notes review. Twelve cases of definite FH were found, of whom two were unknown to the practice. Eight probable cases were found, seven of whom were previously unknown. 2/12 (17%) definite cases and 4/8 (50%) probable cases were unknown to a secondary care lipid clinic. 216/402 (54%) patients scored as possible cases. After specialist review 47/216 (21.8%) patients would merit recalling for a detailed family history and xanthoma examination.
Conclusions:
There are both diagnosed and undiagnosed cases of FH in primary care not known to secondary care. Significant potential exists to identify new cases of FH in primary care who could act as new index cases for a family screening programme.
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