title: Identifying patients with familial hypercholesterolaemia in primary care: an informatics-based approach in one primary care centre.
abstract: 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.
authors.affiliation: Wandsworth Primary Care Research Group, Bolingbroke Hospital, London, UK. jeremygray@nhs.net
authors.forename: J
authors.initials: J
authors.lastname: Gray
authors.forename: A
authors.initials: A
authors.lastname: Jaiyeola
authors.forename: M
authors.initials: M
authors.lastname: Whiting
authors.forename: M
authors.initials: M
authors.lastname: Modell
authors.forename: A S
authors.initials: AS
authors.lastname: Wierzbicki
mesh_terms: D008078:Cholesterol, LDL / Q000097:blood; D016208:Databases, Factual; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D006938:Hyperlipoproteinemia Type II / Q000175:diagnosis* / Q000453:epidemiology; D016247:Information Storage and Retrieval / Q000379:methods*; D008297:Male; D017202:Myocardial Ischemia / Q000517:prevention & control; D011320:Primary Health Care / Q000706:statistics & numerical data; D040242:Risk Reduction Behavior
chemical_list: D008078:Cholesterol, LDL