Background: Proper screening and diagnosis of familial hypercholesterolemia (FH) is of critical importance for cardiovascular prevention. However, the clinical diagnosis of FH remains difficult partly because its phenotype can vary between different ethnicities. The aim of this study was to determine the clinical features and the best diagnostic approach in Korean FH patients. The predictors of putative pathogenic mutations and coronary artery disease (CAD) were also identified. Methods and Results: Ninety-seven patients with low-density lipoprotein-cholesterol >190 mg/dL and xanthoma or FH-compatible family history were included. Putative pathogenic mutations in LDLR, APOB, or PCSK9 genes were identified in 32% of the enrolled patients. The subjects were classified according to four sets of clinical criteria (Simon Broome, Dutch, MEDPED, Japanese). The mutation rates in definite type FH of Simon Broome or Dutch criteria were 35%-37% and lower in our patients than in those of other countries. The mutation detection rate by MEDPED criteria was 67%-75% and higher than those based on other criteria. The best low-density lipoprotein-cholesterol (LDL-C) threshold for predicting mutations was 225 mg/dL. LDL-C was found to be the only independent predictor of mutation carriers, while hypertension and low high-density lipoprotein-cholesterol were predictive of CAD. Conclusions: The conventional clinical criteria showed limited mutation detection power and low specificities in Korean FH patients, in whom the best LDL-C threshold for putative mutation was 225 mg/dL. Traditional cardiovascular risk factors were also significantly associated with CAD risk in this population.
|Number of pages||6|
|Publication status||Published - 2015 Nov 1|
Bibliographical noteFunding Information:
This research was financially supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science, and Technology ( 2012R1A4A1029061 and 2014R1A1A2056104 ), and the Creative Allied Project (CAP) grant funded by the Korean Research Council of Fundamental Science and Technology (KRCF).
© 2015 Elsevier Ireland Ltd.
All Science Journal Classification (ASJC) codes
- Cardiology and Cardiovascular Medicine