Literature DB >> 30365680

Predictors of Family Recruitment in a Program of Genetic Cascade Screening for Familial Hypercholesterolemia.

Maria Cristina de Oliveira Izar1, Francisco Antonio Helfenstein Fonseca1.   

Abstract

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Mesh:

Year:  2018        PMID: 30365680      PMCID: PMC6199521          DOI: 10.5935/abc.20180193

Source DB:  PubMed          Journal:  Arq Bras Cardiol        ISSN: 0066-782X            Impact factor:   2.000


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Familial hypercholesterolemia (FH) is a common inherited disease affecting lipid metabolism; it is associated with lifelong exposure to high levels of LDL-cholesterol, and premature atherosclerotic cardiovascular disease. FH imposes an enormous burden on patients and their relatives, due to years of life lost, and particularly, for not being diagnosed as an entity.[1] In spite of the high LDL-cholesterol and even after an atherosclerotic event, a large proportion of individuals with FH remains undiagnosed.[2],[3] Criteria for diagnosing FH are based on clinical findings, family history, LDL-cholesterol levels, and genetic testing (Simon Broome or Dutch Lipid Clinic Network), or on the LDL-cholesterol levels alone (US MED PED).[4] However, FH phenotypes can vary, and the lack of physical signs (15-30% of patients with genetic diagnosis of FH present xanthomas or corneal arcus, and 5% have xanthelasma) can contribute for the underdiagnosis of FH. [5]-[7] Genetic testing using a panel that includes FH-causing genes (LDLR, APOB, PCSK9, and LDLRAP-1) is the best approach to identify probands.[1],[4] When cascade screening is proposed to a family with a confirmed genetic case of FH, the costs for this screening program are much lower and are considered a cost-effective intervention, enabling early diagnosis and treatment of the affected relatives. One problem with cascade screening is how to have a high proportion of relatives adhering to the screening program.[8]-[11] Silva-Souza, et al.,[12] in the article entitled Predictors of Family Recruitment in a Program of Genetic Cascade Screening for Familial Hypercholesterolemia identified the best predictors of genetic family screening, using characteristics derived from their probands.[12] From January 2011 to July 2015, 183 probands (confirmed for FH by genetic testing) had their 1st degree family members recruited for the cascade program. The response variable was the number of relatives that adhered to the recruitment.[13] Study variables were derived from clinical and socioeconomic characteristics of the index cases. A linear negative binomial regression model was used to test predictors. Reference origin from the site of cascade screening vs. tertiary prevention, LDL-cholesterol in the proband, and family history were independent predictors for a higher number of recruited subjects. There are a number of reasons that would reinforce the need and the importance to adhere to a genetic cascade screening program. The costs are lower than when a proband is diagnosed,[10] it is a predictor of coronary disease,[14] adherence to lipid-lowering drugs can be enhanced, and the treatment can be initiated earlier in life.[14] A structured follow-up of the screened individuals should be performed to assure early and continuous treatment. Most concerns related to lack of adherence to screening are related to patient/relatives education, and physician inertia. Strategies to address these issues and mitigate the burden of atherosclerotic disease in this population should be developed.
  14 in total

Review 1.  Clinical utility gene card for: hyperlipoproteinemia, TYPE II.

Authors:  Ursula Kassner; Marion Wühle-Demuth; Isabelle Missala; Steve E Humphries; Elisabeth Steinhagen-Thiessen; Ilja Demuth
Journal:  Eur J Hum Genet       Date:  2013-11-20       Impact factor: 4.246

2.  Cost-effectiveness of a cascade screening program for the early detection of familial hypercholesterolemia.

Authors:  Pablo Lázaro; Leopoldo Pérez de Isla; Gerald F Watts; Rodrigo Alonso; Richard Norman; Ovidio Muñiz; Francisco Fuentes; Nelva Mata; José López-Miranda; José Ramón González-Juanatey; José Luis Díaz-Díaz; Antonio Javier Blasco; Pedro Mata
Journal:  J Clin Lipidol       Date:  2017-01-10       Impact factor: 4.766

3.  [First Brazilian Guidelines for Familial Hypercholesterolemia].

Authors:  R D Santos; A C M Gagliardi; H T Xavier; A Casella Filho; D B Araújo; F Y Cesena; R J Alves; Alexandre Costa Pereira; Ana Maria P Lottemberg; Ana Paula M Chacra; André Arpad Faludi; Andrei C Sposito; Fernando Flexa Ribeiro Filho; Francisco Antonio Helfenstein Fonseca; Isabela de Carlos Back Giuliano; Liane Hülle Catani; Marcelo C Bertolami; Marcio Hiroshi Miname; Maria Cristina Izar; Osmar Monte; Raul C Maranhão; Tania L R Martinez; Valeria Arruda Machado; Viviane Zorzanelli Rocha; Wilson Salgado Filho
Journal:  Arq Bras Cardiol       Date:  2012-08       Impact factor: 2.000

4.  Attainment of LDL-Cholesterol Treatment Goals in Patients With Familial Hypercholesterolemia: 5-Year SAFEHEART Registry Follow-Up.

Authors:  Leopoldo Perez de Isla; Rodrigo Alonso; Gerald F Watts; Nelva Mata; Adriana Saltijeral Cerezo; Ovidio Muñiz; Francisco Fuentes; José Luís Diaz-Diaz; Raimundo de Andrés; Daniel Zambón; Patricia Rubio-Marin; Miguel A Barba-Romero; Pedro Saenz; Juan F Sanchez Muñoz-Torrero; Ceferino Martinez-Faedo; José P Miramontes-Gonzalez; Lina Badimón; Pedro Mata
Journal:  J Am Coll Cardiol       Date:  2016-03-22       Impact factor: 24.094

Review 5.  Cascade genetic screening for familial hypercholesterolemia.

Authors:  T P Leren
Journal:  Clin Genet       Date:  2004-12       Impact factor: 4.438

6.  Clinical and molecular aspects of familial hypercholesterolemia in Ibero-American countries.

Authors:  Raul D Santos; Mafalda Bourbon; Rodrigo Alonso; Ada Cuevas; Norma Alexandra Vasques-Cardenas; Alexandre C Pereira; Alonso Merchan; Ana Catarina Alves; Ana Margarida Medeiros; Cinthia E Jannes; Jose E Krieger; Laura Schreier; Leopoldo Perez de Isla; Maria Teresa Magaña-Torres; Mario Stoll; Nelva Mata; Nicolas Dell Oca; Pablo Corral; Sylvia Asenjo; Virginia G Bañares; Ximena Reyes; Pedro Mata
Journal:  J Clin Lipidol       Date:  2016-11-23       Impact factor: 4.766

7.  Diagnostic Yield and Clinical Utility of Sequencing Familial Hypercholesterolemia Genes in Patients With Severe Hypercholesterolemia.

Authors:  Amit V Khera; Hong-Hee Won; Gina M Peloso; Kim S Lawson; Traci M Bartz; Xuan Deng; Elisabeth M van Leeuwen; Pradeep Natarajan; Connor A Emdin; Alexander G Bick; Alanna C Morrison; Jennifer A Brody; Namrata Gupta; Akihiro Nomura; Thorsten Kessler; Stefano Duga; Joshua C Bis; Cornelia M van Duijn; L Adrienne Cupples; Bruce Psaty; Daniel J Rader; John Danesh; Heribert Schunkert; Ruth McPherson; Martin Farrall; Hugh Watkins; Eric Lander; James G Wilson; Adolfo Correa; Eric Boerwinkle; Piera Angelica Merlini; Diego Ardissino; Danish Saleheen; Stacey Gabriel; Sekar Kathiresan
Journal:  J Am Coll Cardiol       Date:  2016-04-03       Impact factor: 24.094

8.  Familial hypercholesterolaemia is underdiagnosed and undertreated in the general population: guidance for clinicians to prevent coronary heart disease: consensus statement of the European Atherosclerosis Society.

Authors:  Børge G Nordestgaard; M John Chapman; Steve E Humphries; Henry N Ginsberg; Luis Masana; Olivier S Descamps; Olov Wiklund; Robert A Hegele; Frederick J Raal; Joep C Defesche; Albert Wiegman; Raul D Santos; Gerald F Watts; Klaus G Parhofer; G Kees Hovingh; Petri T Kovanen; Catherine Boileau; Maurizio Averna; Jan Borén; Eric Bruckert; Alberico L Catapano; Jan Albert Kuivenhoven; Päivi Pajukanta; Kausik Ray; Anton F H Stalenhoef; Erik Stroes; Marja-Riitta Taskinen; Anne Tybjærg-Hansen
Journal:  Eur Heart J       Date:  2013-08-15       Impact factor: 29.983

Review 9.  The genetics and screening of familial hypercholesterolaemia.

Authors:  Raymond Henderson; Maurice O'Kane; Victoria McGilligan; Steven Watterson
Journal:  J Biomed Sci       Date:  2016-04-16       Impact factor: 8.410

10.  Cost effectiveness of cascade testing for familial hypercholesterolaemia, based on data from familial hypercholesterolaemia services in the UK.

Authors:  Marion Kerr; Robert Pears; Zofia Miedzybrodzka; Kate Haralambos; Moyra Cather; Melanie Watson; Steve E Humphries
Journal:  Eur Heart J       Date:  2017-06-14       Impact factor: 29.983

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