Literature DB >> 23239831

Toronto hypertrophic cardiomyopathy genotype score for prediction of a positive genotype in hypertrophic cardiomyopathy.

Christiane Gruner1, Joan Ivanov, Melanie Care, Lynne Williams, Gil Moravsky, Hua Yang, Balint Laczay, Katherine Siminovitch, Anna Woo, Harry Rakowski.   

Abstract

BACKGROUND: Genotyping in hypertrophic cardiomyopathy has gained increasing attention in the past decade. Its major role is for family screening and rarely influences decision-making processes in any individual patient. It is associated with substantial costs, and cost-effectiveness can only be achieved in the presence of high-detection rates for disease-causing sarcomere protein gene mutations. Therefore, our aim was to develop a score based on clinical and echocardiographic variables that allows prediction of the probability of a positive genotype. METHODS AND
RESULTS: Clinical and echocardiographic variables were collected in 471 consecutive patients undergoing genetic testing at a tertiary referral center between July 2005 and November 2010. Logistic regression for a positive genotype was used to construct integer risk weights for each independent predictor variable. These were summed for each patient to create the Toronto hypertrophic cardiomyopathy genotype score. A positive genotype was found in 163 of 471 patients (35%). Independent predictors with associated-risk weights in parentheses were as follows: age at diagnosis 20 to 29 (-1), 30 to 39 (-2), 40 to 49 (-3), 50 to 59 (-4), 60 to 69 (-5), 70 to 79 (-6), ≥80 (-7); female sex (4); arterial hypertension (-4); positive family history for hypertrophic cardiomyopathy (6); morphology category (5); ratio of maximal wall thickness:posterior wall thickness <1.46 (0), 1.47 to 1.70 (1), 1.71 to 1.92 (2), 1.93 to 2.26 (3), ≥2.27 (4). The model had a receiver operator curve of 0.80 and Hosmer-Lemeshow goodness-of-fit P=0.22.
CONCLUSIONS: The Toronto genotype score is an accurate tool to predict a positive genotype in a hypertrophic cardiomyopathy cohort at a tertiary referral center.

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Year:  2012        PMID: 23239831     DOI: 10.1161/CIRCGENETICS.112.963363

Source DB:  PubMed          Journal:  Circ Cardiovasc Genet        ISSN: 1942-3268


  25 in total

1.  Evaluation of the Mayo Clinic Phenotype-Based Genotype Predictor Score in Patients with Clinically Diagnosed Hypertrophic Cardiomyopathy.

Authors:  Sinead L Murphy; Jason H Anderson; Jamie D Kapplinger; Teresa M Kruisselbrink; Bernard J Gersh; Steve R Ommen; Michael J Ackerman; J Martijn Bos
Journal:  J Cardiovasc Transl Res       Date:  2016-02-25       Impact factor: 4.132

Review 2.  Hypertrophic Cardiomyopathy: Genetics, Pathogenesis, Clinical Manifestations, Diagnosis, and Therapy.

Authors:  Ali J Marian; Eugene Braunwald
Journal:  Circ Res       Date:  2017-09-15       Impact factor: 17.367

Review 3.  Clinical outcomes associated with sarcomere mutations in hypertrophic cardiomyopathy: a meta-analysis on 7675 individuals.

Authors:  Farbod Sedaghat-Hamedani; Elham Kayvanpour; Oguz Firat Tugrul; Alan Lai; Ali Amr; Jan Haas; Tanja Proctor; Philipp Ehlermann; Katrin Jensen; Hugo A Katus; Benjamin Meder
Journal:  Clin Res Cardiol       Date:  2017-08-24       Impact factor: 5.460

4.  Hypertrophic Cardiomyopathy Genotype Prediction Models in a Pediatric Population.

Authors:  Randa Newman; John Lynn Jefferies; Clifford Chin; Hua He; Amy Shikany; Erin M Miller; Ashley Parrott
Journal:  Pediatr Cardiol       Date:  2018-01-24       Impact factor: 1.655

Review 5.  Genetic Testing in Inherited Heart Diseases: Practical Considerations for Clinicians.

Authors:  Melanie Care; Vijay Chauhan; Danna Spears
Journal:  Curr Cardiol Rep       Date:  2017-08-16       Impact factor: 2.931

6.  A Comparison of Whole Genome Sequencing to Multigene Panel Testing in Hypertrophic Cardiomyopathy Patients.

Authors:  Allison L Cirino; Neal K Lakdawala; Barbara McDonough; Lauren Conner; Dale Adler; Mark Weinfeld; Patrick O'Gara; Heidi L Rehm; Kalotina Machini; Matthew Lebo; Carrie Blout; Robert C Green; Calum A MacRae; Christine E Seidman; Carolyn Y Ho
Journal:  Circ Cardiovasc Genet       Date:  2017-10

7.  Characterization of a phenotype-based genetic test prediction score for unrelated patients with hypertrophic cardiomyopathy.

Authors:  J Martijn Bos; Melissa L Will; Bernard J Gersh; Teresa M Kruisselbrink; Steve R Ommen; Michael J Ackerman
Journal:  Mayo Clin Proc       Date:  2014-05-01       Impact factor: 7.616

Review 8.  Hypertrophic cardiomyopathy: genetics and clinical perspectives.

Authors:  Cordula Maria Wolf
Journal:  Cardiovasc Diagn Ther       Date:  2019-10

Review 9.  Distinguishing ventricular septal bulge versus hypertrophic cardiomyopathy in the elderly.

Authors:  Marco Canepa; Iraklis Pozios; Pier Filippo Vianello; Pietro Ameri; Claudio Brunelli; Luigi Ferrucci; Theodore P Abraham
Journal:  Heart       Date:  2016-04-27       Impact factor: 5.994

10.  Radiomic Analysis of Myocardial Native T1 Imaging Discriminates Between Hypertensive Heart Disease and Hypertrophic Cardiomyopathy.

Authors:  Ulf Neisius; Hossam El-Rewaidy; Shiro Nakamori; Jennifer Rodriguez; Warren J Manning; Reza Nezafat
Journal:  JACC Cardiovasc Imaging       Date:  2019-01-16
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