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.
Abstract

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