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 |
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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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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 <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. Cardiovascular genetics, 2013-02, Vol.6 (1), p.19-26</ispartof><rights>2013 American Heart Association, Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4736-686f3343397afca88ec3e444c9e57066f909ebef62adb2de12bcc7a3bd4517963</citedby><cites>FETCH-LOGICAL-c4736-686f3343397afca88ec3e444c9e57066f909ebef62adb2de12bcc7a3bd4517963</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,3674,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23239831$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><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><title>Toronto Hypertrophic Cardiomyopathy Genotype Score for Prediction of a Positive Genotype in Hypertrophic Cardiomyopathy</title><title>Circulation. 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 <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%). 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 <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.</abstract><cop>United States</cop><pub>American Heart Association, Inc</pub><pmid>23239831</pmid><doi>10.1161/CIRCGENETICS.112.963363</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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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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