ArticleArquivos brasileiros de cardiologia2018
Predictors of Family Enrollment in a Genetic Cascade Screening Program for Familial Hypercholesterolemia.
Article in Arquivos brasileiros de cardiologia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Barriers and facilitators for cascade testing in genetic conditions: a systematic review.European journal of human genetics : EJHG · 2020Pooled it
- Screening for Familial Hypercholesterolemia in Childhood: An Overview of Current Practices Around the World.Children (Basel, Switzerland) · 2025Review
- Dyslipidemia in youth: Epidemiology, pathophysiology, screening, management, and treatment: A review of the literature.Journal of family medicine and primary care · 2022Review
- Targeted Screening of Familial Hypercholesterolemia in 11 Small Brazilian Cities: An Effective Approach to Detect Clusters of Affected Individuals.Arquivos brasileiros de cardiologia · 2022Article
- Predictors of Family Recruitment in a Program of Genetic Cascade Screening for Familial Hypercholesterolemia.Arquivos brasileiros de cardiologia · 2018Article
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGenetic cascade screening is the most cost-effective method for the identification of individuals with familial hypercholesterolemia (FH), but the best strategies for the enrollment of at-risk individuals in a FH screening program are not fully known.
objectiveThe aim of this study is to identify the best predictors of familial enrollment into genetic screening, using features derived from tested probands.
methodsOne hundred and eighty-three index-cases (ICs) with a positive genetic result that had relatives screened from 01/2011 to 07/2015 were included. The response variable was the number of relatives for each enrolled IC. All variables in the study were based on ICs' derived clinical and socioeconomical features. The effect size of predictor variables were obtained through a general linear model using a negative binomial regression link function. Significance was considered with a p < 0.05.
resultsMean IC age when enrolling into the program was 50 years old; 78.1% of individuals reported knowledge of relatives with dyslipidemia. Mean baseline LDL-cholesterol level was 316 ± 90 mg/dL. Referral origin through the cascade program website vs. tertiary care, IC LDL-cholesterol and familial history of high LDL-cholesterol levels were independent predictors associated with a higher number of enrolled relatives.
conclusionsOur data suggest that FH cascade screening programs can predict family enrollment based on IC features. This information may be useful for devising better and more effective screening approaches for at-risk individuals.
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