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Association of Clinical Characteristics With Familial Hypercholesterolaemia Variants in a Lipid Clinic Setting: A Case-Control Study. | LitMetric

AI Article Synopsis

  • Familial hypercholesterolaemia (FH) variants are linked to more than double the cardiovascular risk compared to controls with similar LDL-C levels, making improved detection methods important.
  • In a study of 213 subjects, 14.6% had pathogenic FH variants, and those with variants were generally younger and had higher LDL-C levels and more family members with elevated cholesterol.
  • The Besseling model for detecting FH variants showed better discrimination than traditional methods, while established criteria like the Dutch Lipid Clinic Network Score did not significantly improve FH detection.

Article Abstract

Objective: Familial hypercholesterolaemia (FH) variant positive subjects have over double the cardiovascular risk of low-density-lipoprotein-cholesterol (LDL-C) matched controls. It is desirable to optimise FH variant detection.

Methods: We identified 213 subjects with FH gene panel reports (, , , and ) based on total cholesterol >310 mg/dL; excluding triglycerides >400 mg/dL, cascade screening, and patients without pre-treatment LDL-C recorded. Demographic, clinical and lipid parameters were recorded.

Results: A 31/213 (14.6%) patients had pathogenic or likely pathogenic FH variants. 10/213 (4.7%) had variants of uncertain significance. Compared with patients without FH variants, patients with FH variants were younger (median age, 39 years vs. 48 years), had more tendon xanthomata (25.0% vs. 11.4%), greater proportion of first degree relatives with total cholesterol >95th percentile (40.6% vs. 16.5%), higher LDL-C (median, 271 mg/dL vs. 236 mg/dL), and lower triglycerides (median, 115 mg/dL vs. 159 mg/dL). The Besseling et al. model (c-statistic 0.798) improved FH variant discrimination over Friedewald LDL-C (c-statistic 0.724), however, Dutch Lipid Clinic Network Score (DLCNS) did not (c-statistic 0.665). Sampson LDL-C (c-statistic 0.734) had similar discrimination to Friedewald.

Conclusion: Although tendon xanthomata and first degree relatives with high total cholesterol >95th percentile were associated with FH variants, DLCNS or Simon Broome criteria did not improve FH detection over LDL-C. Sampson LDL-C did not significantly improve discrimination over Friedewald. Although lower triglycerides and younger age of presentation are positively associated with presence of FH variants, this information is not commonly used in FH detection algorithms apart from Besseling et al.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10825568PMC
http://dx.doi.org/10.12997/jla.2024.13.1.29DOI Listing

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