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

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 achie...

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Veröffentlicht in:Circulation. Cardiovascular genetics 2013-02, Vol.6 (1), p.19-26
Hauptverfasser: Gruner, Christiane, Ivanov, Joan, Care, Melanie, Williams, Lynne, Moravsky, Gil, Yang, Hua, Laczay, Balint, Siminovitch, Katherine, Woo, Anna, Rakowski, Harry
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container_end_page 26
container_issue 1
container_start_page 19
container_title Circulation. Cardiovascular genetics
container_volume 6
creator Gruner, Christiane
Ivanov, Joan
Care, Melanie
Williams, Lynne
Moravsky, Gil
Yang, Hua
Laczay, Balint
Siminovitch, Katherine
Woo, Anna
Rakowski, Harry
description 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 followsage 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
doi_str_mv 10.1161/CIRCGENETICS.112.963363
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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 followsage 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 &lt;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.</description><identifier>ISSN: 1942-325X</identifier><identifier>EISSN: 1942-3268</identifier><identifier>DOI: 10.1161/CIRCGENETICS.112.963363</identifier><identifier>PMID: 23239831</identifier><language>eng</language><publisher>United States: American Heart Association, Inc</publisher><subject>Adult ; Aged ; Cardiomyopathy, Hypertrophic - diagnosis ; Cardiomyopathy, Hypertrophic - diagnostic imaging ; Cardiomyopathy, Hypertrophic - genetics ; Cohort Studies ; Echocardiography ; Female ; Genetic Testing - methods ; Genotype ; Humans ; Male ; Middle Aged ; Models, Genetic ; Young Adult</subject><ispartof>Circulation. 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Cardiovascular genetics</title><addtitle>Circ Cardiovasc Genet</addtitle><description>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 followsage 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 &lt;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.</description><subject>Adult</subject><subject>Aged</subject><subject>Cardiomyopathy, Hypertrophic - diagnosis</subject><subject>Cardiomyopathy, Hypertrophic - diagnostic imaging</subject><subject>Cardiomyopathy, Hypertrophic - genetics</subject><subject>Cohort Studies</subject><subject>Echocardiography</subject><subject>Female</subject><subject>Genetic Testing - methods</subject><subject>Genotype</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Models, Genetic</subject><subject>Young Adult</subject><issn>1942-325X</issn><issn>1942-3268</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kEtPGzEQgK0KVCjtXwAfuSz1K_b6WK3SEAm1CFKpN8vrnVUMm_XWdhrl32MUHj31YHk0881DH0IXlFxRKunXZnnXLOY_5qtlc18y7EpLziX_gE6pFqziTNZHb_Hs9wn6lNIDIVIU6iM6YZxxXXN6inarEMOYA77eTxBzDNPaO9zY2Pmw2YfJ5vUeL2AMudTxvQsRcB8ivo3QeZd9GHHoscW3Ifns_8I768f_zfyMjns7JPjy8p-hX9_nq-a6uvm5WDbfbionFJeVrGXPeblaK9s7W9fgOAghnIaZIlL2mmhooZfMdi3rgLLWOWV524kZVUXKGbo8zJ1i-LOFlM3GJwfDYEcI22Qo03SmldKioOqAuhhSitCbKfqNjXtDiXm2bv61XjLMHKyXzvOXJdt2A91b36vmAogDsAtDhpgeh-0OolmDHfLaEMq5ElpVrESEEUKq8ojkTyPJkcM</recordid><startdate>201302</startdate><enddate>201302</enddate><creator>Gruner, Christiane</creator><creator>Ivanov, Joan</creator><creator>Care, Melanie</creator><creator>Williams, Lynne</creator><creator>Moravsky, Gil</creator><creator>Yang, Hua</creator><creator>Laczay, Balint</creator><creator>Siminovitch, Katherine</creator><creator>Woo, Anna</creator><creator>Rakowski, Harry</creator><general>American Heart Association, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>201302</creationdate><title>Toronto Hypertrophic Cardiomyopathy Genotype Score for Prediction of a Positive Genotype in Hypertrophic Cardiomyopathy</title><author>Gruner, Christiane ; Ivanov, Joan ; Care, Melanie ; Williams, Lynne ; Moravsky, Gil ; Yang, Hua ; Laczay, Balint ; Siminovitch, Katherine ; Woo, Anna ; Rakowski, Harry</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4736-686f3343397afca88ec3e444c9e57066f909ebef62adb2de12bcc7a3bd4517963</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Cardiomyopathy, Hypertrophic - diagnosis</topic><topic>Cardiomyopathy, Hypertrophic - diagnostic imaging</topic><topic>Cardiomyopathy, Hypertrophic - genetics</topic><topic>Cohort Studies</topic><topic>Echocardiography</topic><topic>Female</topic><topic>Genetic Testing - methods</topic><topic>Genotype</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Models, Genetic</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gruner, Christiane</creatorcontrib><creatorcontrib>Ivanov, Joan</creatorcontrib><creatorcontrib>Care, Melanie</creatorcontrib><creatorcontrib>Williams, Lynne</creatorcontrib><creatorcontrib>Moravsky, Gil</creatorcontrib><creatorcontrib>Yang, Hua</creatorcontrib><creatorcontrib>Laczay, Balint</creatorcontrib><creatorcontrib>Siminovitch, Katherine</creatorcontrib><creatorcontrib>Woo, Anna</creatorcontrib><creatorcontrib>Rakowski, Harry</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Circulation. Cardiovascular genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gruner, Christiane</au><au>Ivanov, Joan</au><au>Care, Melanie</au><au>Williams, Lynne</au><au>Moravsky, Gil</au><au>Yang, Hua</au><au>Laczay, Balint</au><au>Siminovitch, Katherine</au><au>Woo, Anna</au><au>Rakowski, Harry</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Toronto Hypertrophic Cardiomyopathy Genotype Score for Prediction of a Positive Genotype in Hypertrophic Cardiomyopathy</atitle><jtitle>Circulation. Cardiovascular genetics</jtitle><addtitle>Circ Cardiovasc Genet</addtitle><date>2013-02</date><risdate>2013</risdate><volume>6</volume><issue>1</issue><spage>19</spage><epage>26</epage><pages>19-26</pages><issn>1942-325X</issn><eissn>1942-3268</eissn><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%). 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ispartof Circulation. Cardiovascular genetics, 2013-02, Vol.6 (1), p.19-26
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source MEDLINE; American Heart Association Journals
subjects Adult
Aged
Cardiomyopathy, Hypertrophic - diagnosis
Cardiomyopathy, Hypertrophic - diagnostic imaging
Cardiomyopathy, Hypertrophic - genetics
Cohort Studies
Echocardiography
Female
Genetic Testing - methods
Genotype
Humans
Male
Middle Aged
Models, Genetic
Young Adult
title Toronto Hypertrophic Cardiomyopathy Genotype Score for Prediction of a Positive Genotype in Hypertrophic Cardiomyopathy
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