Elsevier

Journal of Clinical Lipidology

Volume 10, Issue 5, September–October 2016, Pages 1223-1229
Journal of Clinical Lipidology

Original Article
US physician practices for diagnosing familial hypercholesterolemia: data from the CASCADE-FH registry

https://doi.org/10.1016/j.jacl.2016.07.011Get rights and content

Highlights

  • Familial hypercholesterolemia is underdiagnosed in the United States.

  • Three FH diagnostic criteria are widely used: Simon Broome, MEDPED, and DLCN.

  • In the United States, no one criterion is widely utilized.

  • Rather, US lipid specialists often rely on a heuristic “clinical” diagnosis.

Background

In the US familial hypercholesterolemia (FH), patients are underidentified, despite an estimated prevalence of 1:200 to 1:500. Criteria to identify FH patients include Simon Broome, Dutch Lipid Clinic Network (DLCN), or Make Early Diagnosis to Prevent Early Deaths (MEDPED). The use of these criteria in US clinical practices remains unclear.

Objective

To characterize the FH diagnostic criteria applied by US lipid specialists participating in the FH Foundation's CASCADE FH (CAscade SCreening for Awareness and DEtection of Familial Hypercholesterolemia) patient registry.

Methods

We performed an observational, cross-sectional analysis of diagnostic criteria chosen for each adult patient, both overall and by baseline patient characteristics, at 15 clinical sites that had contributed data to the registry as of September 8, 2015. A sample of 1867 FH adults was analyzed. The median age at FH diagnosis was 50 years, and the median pretreatment low-density lipoprotein cholesterol (LDL-C) value was 238 mg/dL. The main outcome was the diagnostic criteria chosen. Diagnostic criteria were divided into five nonexclusive categories: “clinical diagnosis,” MEDPED, Simon Broome, DLCN, and other.

Results

Most adults enrolled in CASCADE FH (55.0%) received a “clinical diagnosis.” The most commonly used formal criteria was Simon–Broome only (21%), followed by multiple diagnostic criteria (16%), MEDPED only (7%), DLCN only (1%), and other (0.5%), P < .0001. Of the patients with only a “clinical diagnosis,” 93% would have met criteria for Simon Broome, DLCN, or MEDPED based on the data available in the registry.

Conclusions

Our findings demonstrate heterogeneity in the application of FH diagnostic criteria in the United States. A nationwide consensus definition may lead to better identification, earlier treatment, and ultimately CHD prevention.

Introduction

Familial hypercholesterolemia (FH) is an autosomal dominant disorder characterized by severe lifelong elevations in low-density lipoprotein cholesterol (LDL-C).1 Thus far, mutations in at least three genes have been found to cause the disorder: low-density lipoprotein receptor (LDLR, Online Mendelian Inheritance in Man [OMIM] # 143890), apolipoprotein B-100 (APOB, OMIM # 107730), and proprotein convertase subtilisin-like kexin type 9 (PCSK9, OMIM # 603776). Although affected individuals have a 20-fold increased risk of premature atherosclerotic cardiovascular disease,2 early diagnosis and treatment with lipid-lowering drugs reduces the risk of coronary heart disease (CHD) to rates comparable to the general population.3, 4

Three diagnostic criteria can predict FH-causing mutations with >80% sensitivity or specificity: Simon Broome, Dutch Lipid Clinic Network (DLCN), and the US Make Early Diagnosis to Prevent Early Death (MEDPED).5, 6, 7 The Simon Broome Familial Hyperlipidemia Register began in 1980 as an effort to identify all FH patients in the United Kingdom, resulting in the creation of the eponymous diagnostic criteria for FH.8, 9 In the Netherlands, the DLCN criteria were a critical component of a public health strategy to identify patients with FH for genetic testing, early treatment, and CHD prevention.10 The US MEDPED criteria were created based on the phenotypic presentation of US families living in Utah.5

Consistent application of FH diagnostic criteria improves the identification of index cases. For example, in the Netherlands, the consistent application of DLCN criteria resulted in identification of 71% of estimated cases.11

Unfortunately, in the United States, <10% of cases are identified12, 13—despite an estimated prevalence of 1:200 to 1:50011, 14, 15—and little data are available on the use of FH diagnostic criteria in contemporary US practices. To address these issues, the FH Foundation, a nonprofit research, and advocacy organization, established the US CAscade SCreening for Awareness and DEtection of Familial Hypercholesterolemia (CASCADE-FH) Registry.13 CASCADE-FH became active in September 2013 and currently has data on FH patients treated at specialty lipid clinics throughout the country.

We queried CASCADE-FH to characterize how US lipid specialists diagnose FH, specifically, which of the established criteria—Simon Broome, DLCN, or MEDPED—are most commonly used.

Section snippets

Methods

As previously described, the FH Foundation (http://www.fhfoundation.org) established the CASCADE-FH registry in September 2013 as a national, multicenter initiative to identify patients with FH in the United States, track their treatments, and measure clinical and patient-reported outcomes over time. To be included in CASCADE-FH, all patients must have had at least one office visit at a participating lipid clinic within the past 5 years with FH diagnosed based on existing clinical or genetic

Results

Data were analyzed for 1867 patients who met inclusion/exclusion criteria for this analysis. Demographics, clinical, and lipid/lipoprotein characteristics are shown in Table 1. The median age at enrollment was 56 years, and the median age at the time of FH diagnosis was 50 years; 60% were female, 75% were white, and the median BMI was 28 kg/m2. Genetic testing was reported in 3.9% (n = 73).

With regard to FH phenotypic characteristics, 31% had prior coronary artery disease, 19% had tendon

Discussion

We identified heterogeneity in the use of diagnostic criteria for FH among lipid specialty clinics participating in a contemporary, US-based registry. Although we identified several differences between formally diagnosed and clinically diagnosed patient cohorts, all groups had severe elevations in LDL-C and a significant burden of coronary artery disease. Over 90% of the clinically diagnosed patients met criteria for Simon Broome, MEDPED, or DLCN—suggesting that lipid specialists in the United

Acknowledgments

Author contributions: All authors contributed to the preparation of this manuscript. Drs Ahmad, L Andersen, R Andersen, and Vasandani wrote the manuscript. Drs O'Brien and Shrader performed statistical analysis. Dr Knowles was the corresponding author. All other authors contributed equally to the design, writing, and revision of the manuscript.

References (28)

  • A.V. Khera et al.

    Diagnostic yield of sequencing familial hypercholesterolemia genes in patients with severe hypercholesterolemia

    J Am Coll Cardiol

    (2016)
  • M.A. Austin et al.

    Familial hypercholesterolemia and coronary heart disease: A huge association review

    Am J Epidemiol

    (2004)
  • J. Versmissen et al.

    Efficacy of statins in familial hypercholesterolaemia: A long term cohort study

    BMJ

    (2008)
  • Mortality in treated heterozygous familial hypercholesterolaemia: Implications for clinical management

    Eur Heart J

    (1999)
  • Cited by (51)

    • Ten things to know about ten cardiovascular disease risk factors

      2021, American Journal of Preventive Cardiology
    • Familial hypercholesterolemia in Mexico: Initial insights from the national registry

      2021, Journal of Clinical Lipidology
      Citation Excerpt :

      The mean age of probands is greater than family members, with most cases discovered in adulthood. Moreover, tendon xanthomas are present in a higher proportion than habitually reported in the literature.20–22 The late age of diagnosis and late treatment initiation permits the development and persistence of such lesions.

    View all citing articles on Scopus

    Funding sources: Sponsors for the CASCADE-FH Registry include Amgen, AZ, Aegerion, Sanofi/Regeneron, and Pfizer. The work was also supported by grants National Institutes of Health (NIH) K23 HL114884 (UT Southwestern site, PI: ZA). Knowles is supported by an AHA National Innovative Research Grant 15IRG222930034.

    View full text