Background: Familial hypercholesterolaemia (FH), a co-dominantly inherited disease of cholesterol that markedly increases risk of premature coronary artery disease (CAD), is significantly under-diagnosed. Primary health care is increasingly seen as a setting in which to increase the detection rate of index cases. We report a prospective study of three methods of case detection using pre-existing primary health care services in one community.
Methods: Three methods of case detection were tested: pathology laboratory database search, workplace health checks and general practice database search. People identified at risk by each of the three screening methods were offered detailed assessment for FH using the Dutch Lipid Clinic Network Criteria score (DLCNCS).
Results: 1316 participants underwent detailed assessment for FH. The proportion of at risk people identified for further assessment was in decreasing order: GP (659 of 2494, 26.4%), workplace assessment (60 of 268, 22.4%) and pathology database (597 of 4517, 13.2%) p<0.001. Eight-six (6.5%) were identified as clinical FH (DLCNCS>5) of which 59 had genetic testing and 11 of 59, 18.6%, were confirmed to have a mutation causing FH. Pathology database detected the greatest number of clinical FH (51 of 86, 59.3%) and mutation positive participants (8 of 11, 72.7%).
Conclusion: Screening within primary health care was successful in detecting participants with FH. An integrated case detection model combining screening of pathology and GP databases is proposed.
Keywords: Case detection; Familial hypercholesterolaemia; General practice; Preventative cardiology; Primary health care; Screening.
Copyright © 2014 Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) and the Cardiac Society of Australia and New Zealand (CSANZ). Published by Elsevier B.V. All rights reserved.