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Toronto Hypertrophic Cardiomyopathy Genotype Score for Prediction of a Positive Genotype in Hypertrophic Cardiomyopathy

Authors :
Lynne Williams
Harry Rakowski
Gil Moravsky
Melanie Care
Christiane Gruner
Katherine A. Siminovitch
Anna Woo
Hua Yang
Balint Laczay
Joan Ivanov
Source :
Circulation: Cardiovascular Genetics. 6:19-26
Publication Year :
2013
Publisher :
Ovid Technologies (Wolters Kluwer Health), 2013.

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 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.

Details

ISSN :
19423268 and 1942325X
Volume :
6
Database :
OpenAIRE
Journal :
Circulation: Cardiovascular Genetics
Accession number :
edsair.doi.dedup.....644d59ba2ffdaf4dc1663889697c14be
Full Text :
https://doi.org/10.1161/circgenetics.112.963363