Can patients be accurately assessed for familial hypercholesterolaemia in primary care?

Damon A Bell1, Andrew B Kirke2, Rita Barbour2

  • 1School of Medicine & Pharmacology, University of Western Australia, Perth, Australia; Cardiometabolic Service, Department of Internal Medicine, Royal Perth Hospital, Perth, Australia; Familial Hypercholesterolaemia Western Australia (FHWA), Royal Perth Hospital, Perth, Australia; Department of Clinical Biochemistry, PathWest Royal Perth Hospital, Perth, Australia.

Insights

General practitioners (GPs) can accurately identify individuals with Familial Hypercholesterolaemia (FH) using the Dutch Lipid Clinic Network Criteria scores (DLCNCS). This supports opportunistic FH detection in primary care settings.

Area of Science:

  • Cardiology
  • Genetics
  • Primary Care Medicine

Background:

  • Familial Hypercholesterolaemia (FH) is a common genetic disorder leading to premature coronary artery disease.
  • The majority of individuals with FH remain undiagnosed, highlighting a gap in detection.
  • Accurate identification in primary care is crucial for timely intervention.

Purpose of the Study:

  • To evaluate the accuracy of general practitioners (GPs) in identifying individuals with FH in a primary care setting.
  • To assess the utility of the Dutch Lipid Clinic Network Criteria scores (DLCNCS) for FH diagnosis by GPs.
  • To determine if primary care physicians can effectively screen for FH.

Main Methods:

  • A comparative study involving 153 individuals, assessing DLCNCS by GPs and specialists.
  • Specialist review and genetic testing were performed for 30 individuals with DLCNCS ≥4.
  • Clinical FH was defined as DLCNCS ≥6.

Main Results:

  • GPs demonstrated high accuracy in classifying individuals with 'clinical FH' (86.7%) and 'unlikely FH' (94%) compared to specialists.
  • High concordance (Lin's CCC = 0.832) and agreement (83.6%) were observed between GP and specialist DLCNCS assessments.
  • Of those reviewed by specialists, 50% were diagnosed with clinical FH, and 26.7% had identified FH mutations, with GPs correctly classifying 80% of these cases.

Conclusions:

  • GPs can accurately identify individuals at high and low risk of FH using the DLCNCS.
  • Primary care-based screening using DLCNCS can augment opportunistic FH detection.
  • Further education for GPs may further enhance diagnostic accuracy for FH in primary care settings.
Abstract

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