<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1405-9940</journal-id>
<journal-title><![CDATA[Archivos de cardiología de México]]></journal-title>
<abbrev-journal-title><![CDATA[Arch. Cardiol. Méx.]]></abbrev-journal-title>
<issn>1405-9940</issn>
<publisher>
<publisher-name><![CDATA[Instituto Nacional de Cardiología Ignacio Chávez]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-99402022000400492</article-id>
<article-id pub-id-type="doi">10.24875/acm.21000304</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Diagnostic utility of 31 ECG criteria for predicting echocardiographic left ventricular geometry]]></article-title>
<article-title xml:lang="es"><![CDATA[Utilidad diagnóstica del ECG para predecir la geometría del ventrículo izquierdo por ecocardiograma]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Garza-Salazar]]></surname>
<given-names><![CDATA[Fernando De la]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
<xref ref-type="aff" rid="A a"/>
<xref ref-type="aff" rid="A3"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Monterrey School of Medicine Department of Specialties Medical]]></institution>
<addr-line><![CDATA[Monterrey Nuevo León]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Hospital Christus Muguerza Alta Especialidad Department of Intern Medicine ]]></institution>
<addr-line><![CDATA[Monterrey Nuevo León]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Hospital Universitario Dr. José Eleuterio González Department of Clinical Hematology ]]></institution>
<addr-line><![CDATA[Monterrey Nuevo León]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2022</year>
</pub-date>
<volume>92</volume>
<numero>4</numero>
<fpage>492</fpage>
<lpage>501</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-99402022000400492&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-99402022000400492&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-99402022000400492&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Objective: To explore the diagnostic utility of 31 electrocardiogram (ECG) criteria for detecting echocardiographic (Echo) left ventricular geometry using accuracy.  Methods: This cross-sectional study included consecutive adults (&gt; 18 years) that were classified by Echo left ventricular geometry as normal (NL), concentric remodeling (CR), concentric hypertrophy (CH), and eccentric hypertrophy (EH). Thirty-one state-of-the-art ECG criteria for Echo left ventricular hypertrophy were calculated. AUC 95%CI, accuracy, sensitivity, specificity, and positive and negative predictive value for detecting Echo left ventricular geometries were compared. Multivariable linear regression models were produced using the ECG criteria as the dependent variable.  Results: A total of 672 adults were included in the study. From 31 ECG criteria, Cornell (ECG21, SV3 + RaVL) and modified Cornell (ECG 31, RaVL + deepest S in all leads) criteria have the best overall AUC in differentiating NL versus CH (0.666 and 0.646), NL versus EH (0.686 and 0.656), CR versus CH (0.687 and 0.661), and CR versus EH (0.718 and 0.676). In multivariable linear regression models, CH and EH had the strongest effect on the final voltage in Cor- nell (ECG21) and modified Cornell (ECG31).  Conclusions: From 31 state-of-the-art criteria, Cornell and modified Cornell criteria have the best AUC and accuracy for predicting most left ventricular geometries. CH and EH had the strongest effect on the voltage of Cornell and modified Cornell criteria compared to body mass index, age, diabetes, hypertension, and chronic heart disease. The ECG criteria poorly differentiate NL from CR and CH from EH.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Objetivo: Explorar la utilidad diagnóstica de 31 criterios de ECG para detectar la geometría ecocardiográfica del ventrículo izquierdo usando la exactitud, área bajo la curva, sensibilidad, especificidad, y valor predictivo positivo y negativo.  Métodos: Este estudio transversal incluyó adultos (&gt; 18 años) que se sometieron a ECG y ecocardiograma transtorácico. Los pacientes fueron clasificados según la geometría del ventrículo izquierdo: normal (NL), remodelado concéntrico (RC), hipertrofia concéntrica (HC) e hipertrofia excéntrica (HE). Se calcularon 31 criterios clásicos de ECG para detectar hipertrofia ventricular izquierda y se comparó el rendimiento diagnóstico en cada geometría. Creamos un modelo de regresión lineal múltiple usando los criterios de ECG como variable dependiente.  Resultados: Se incluyeron 672 adultos. Los criterios de Cornell (ECG 21, SV3 + RaVL) y Cornell modificado (ECG31, RaVL + S mas profunda de las 12 derivaciones) tienen el mejor AUC para diferenciar NL versus HC (0.666 y 0.646), NL versus HE (0.686 y 0.656), RC versus HC (0.687 y 0.661) y RC versus HE (0.718 y 0.676). En el análisis multivariado la geometría del ventrículo izquierdo (HC e HE) fue la variable que mas influyó en el resultado final del criterio de Cornell y de Cornell modificado.  Conclusión: De los 31 criterios clásicos explorados, los criterios de Cornell y Cornell modificado tienen el mejor AUC y exactitud para predecir la mayoría de las geometrías del ventrículo izquierdo. Los criterios del ECG no diferencian bien la geometría NL del RC ni HC de la HE.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Left ventricular geometry]]></kwd>
<kwd lng="en"><![CDATA[Electrocardiogram]]></kwd>
<kwd lng="en"><![CDATA[Prediction models]]></kwd>
<kwd lng="en"><![CDATA[Concentric remodeling]]></kwd>
<kwd lng="en"><![CDATA[Eccentric hypertrophy]]></kwd>
<kwd lng="en"><![CDATA[Concentric hypertrophy]]></kwd>
<kwd lng="es"><![CDATA[Geometría del ventrículo izquierdo]]></kwd>
<kwd lng="es"><![CDATA[ECG]]></kwd>
<kwd lng="es"><![CDATA[Modelos de predicción]]></kwd>
<kwd lng="es"><![CDATA[Remodelación concéntrica]]></kwd>
<kwd lng="es"><![CDATA[Hipertrofia excéntrica]]></kwd>
<kwd lng="es"><![CDATA[Hipertrofia concéntrica]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<label>1</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Guo]]></surname>
<given-names><![CDATA[X]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[Z]]></given-names>
</name>
<name>
<surname><![CDATA[Sun]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Echocardiographic left ventricular geometry profiles for prediction of stroke, coronary heart disease and all-cause mortality in the Chinese community:a rural cohort population study]]></article-title>
<source><![CDATA[BMC Cardiovasc Disord]]></source>
<year>2021</year>
<volume>21</volume>
<page-range>1-10</page-range></nlm-citation>
</ref>
<ref id="B2">
<label>2</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Verma]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Meris]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Skali]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Ghali]]></surname>
<given-names><![CDATA[JK]]></given-names>
</name>
<name>
<surname><![CDATA[Arnold]]></surname>
<given-names><![CDATA[JM]]></given-names>
</name>
<name>
<surname><![CDATA[Bourgoun]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Prognostic implications of left ventricular mass and geometry following myocardial infarction:the VALIANT (VALsartan in acute myocardial iNfarcTion) Echocardiographic Study]]></article-title>
<source><![CDATA[JACC Cardiovasc Imaging]]></source>
<year>2008</year>
<volume>1</volume>
<page-range>582-91</page-range></nlm-citation>
</ref>
<ref id="B3">
<label>3</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Marwick]]></surname>
<given-names><![CDATA[TH]]></given-names>
</name>
<name>
<surname><![CDATA[Gillebert]]></surname>
<given-names><![CDATA[TC]]></given-names>
</name>
<name>
<surname><![CDATA[Aurigemma]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Chirinos]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Derumeaux]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Galderisi]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Recommendations on the use of echocardiography in adult hypertension:a report from the European association of cardiovascular imaging (EACVI) and the American society of echocardiography (ASE)]]></article-title>
<source><![CDATA[Eur Heart J Cardiovasc Imaging]]></source>
<year>2015</year>
<volume>16</volume>
<page-range>577-605</page-range></nlm-citation>
</ref>
<ref id="B4">
<label>4</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dávila]]></surname>
<given-names><![CDATA[DF]]></given-names>
</name>
<name>
<surname><![CDATA[Donis]]></surname>
<given-names><![CDATA[JH]]></given-names>
</name>
<name>
<surname><![CDATA[Odreman]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Gonzalez]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Landaeta]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Patterns of left ventricular hypertrophy in essential hypertension:should echocardiography guide the pharmacological treatment?]]></article-title>
<source><![CDATA[Int J Cardiol]]></source>
<year>2008</year>
<volume>124</volume>
<page-range>134-8</page-range></nlm-citation>
</ref>
<ref id="B5">
<label>5</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Williams]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
<name>
<surname><![CDATA[Mancia]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Spiering]]></surname>
<given-names><![CDATA[W]]></given-names>
</name>
<name>
<surname><![CDATA[Agabiti Rosei]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Azizi]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Burnier]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[2018 Practice guidelines for the management of arterial hypertension of the European society of cardiology and the European society of hypertension]]></article-title>
<source><![CDATA[Blood Press]]></source>
<year>2018</year>
<volume>27</volume>
<page-range>314-40</page-range></nlm-citation>
</ref>
<ref id="B6">
<label>6</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Aktoz]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Erdogan]]></surname>
<given-names><![CDATA[O]]></given-names>
</name>
<name>
<surname><![CDATA[Altun]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Electrocardiographic prediction of left ventricular geometric patterns in patients with essential hypertension]]></article-title>
<source><![CDATA[Int J Cardiol]]></source>
<year>2007</year>
<volume>120</volume>
<page-range>344-50</page-range></nlm-citation>
</ref>
<ref id="B7">
<label>7</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Xu]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Ge]]></surname>
<given-names><![CDATA[Z]]></given-names>
</name>
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Shao]]></surname>
<given-names><![CDATA[X]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Modified Cornell electrocardiographic criteria in the assessment of left ventricular hypertrophy geometry of patients with essential hypertension]]></article-title>
<source><![CDATA[J Clin Hypertension]]></source>
<year>2020</year>
<volume>22</volume>
<page-range>1239-46</page-range></nlm-citation>
</ref>
<ref id="B8">
<label>8</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hancock]]></surname>
<given-names><![CDATA[EW]]></given-names>
</name>
<name>
<surname><![CDATA[Deal]]></surname>
<given-names><![CDATA[BJ]]></given-names>
</name>
<name>
<surname><![CDATA[Mirvis]]></surname>
<given-names><![CDATA[DM]]></given-names>
</name>
<name>
<surname><![CDATA[Okin]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[Kligfield]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[Gettes]]></surname>
<given-names><![CDATA[LS]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[AHA/ACCF/HRS recommendations for the standardization and interpretation of the electrocardiogram:part V:electrocardiogram changes associated with cardiac chamber hypertrophy a scientific statement from the American heart association electrocardiography and arrhythmias committee, council on clinical cardiology;the American college of cardiology foundation;and the heart rhythm society endorsed by the international society for computerized electrocardiology]]></article-title>
<source><![CDATA[J Am Coll Cardiol]]></source>
<year>2009</year>
<volume>53</volume>
<page-range>992-1002</page-range></nlm-citation>
</ref>
<ref id="B9">
<label>9</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zago]]></surname>
<given-names><![CDATA[GT]]></given-names>
</name>
<name>
<surname><![CDATA[Andreão]]></surname>
<given-names><![CDATA[RV]]></given-names>
</name>
<name>
<surname><![CDATA[Rodrigues]]></surname>
<given-names><![CDATA[SL]]></given-names>
</name>
<name>
<surname><![CDATA[Mill]]></surname>
<given-names><![CDATA[JG]]></given-names>
</name>
<name>
<surname><![CDATA[Sarcinelli Filho]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[ECG-based detection of left ventricle hypertrophy]]></article-title>
<source><![CDATA[Res Biomed Eng]]></source>
<year>2015</year>
<volume>31</volume>
<page-range>125-32</page-range></nlm-citation>
</ref>
<ref id="B10">
<label>10</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tomita]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Ueno]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Takata]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Yasumoto]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
<name>
<surname><![CDATA[Tomoda]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Inoue]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Relationship between electrocardiographic voltage and geometric patterns of left ventricular hypertrophy in patients with essential hypertension]]></article-title>
<source><![CDATA[Hypertens Res]]></source>
<year>1998</year>
<volume>21</volume>
<page-range>259-66</page-range></nlm-citation>
</ref>
<ref id="B11">
<label>11</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[De la Garza Salazar]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Rodríguez Díaz]]></surname>
<given-names><![CDATA[EA]]></given-names>
</name>
<name>
<surname><![CDATA[González Cantú]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Azpiri López]]></surname>
<given-names><![CDATA[JR]]></given-names>
</name>
<name>
<surname><![CDATA[Kuri Ayache]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Romero Ibarguengoitia]]></surname>
<given-names><![CDATA[ME]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Diagnostic utility of the electrocardiographic left ventricular hypertrophy criteria in specific populations]]></article-title>
<source><![CDATA[Acta Cardiol]]></source>
<year>2021</year>
<volume>76</volume>
<page-range>272-9</page-range></nlm-citation>
</ref>
<ref id="B12">
<label>12</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dalfó]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[López-Contreras]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Gil]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Martín]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Bayó]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Vila]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[L32:electrocardiographic diagnostic of left ventricular hypertrophy (LVH) Proposal of modification of cornell criteria]]></article-title>
<source><![CDATA[Am J Hypertens]]></source>
<year>1997</year>
<volume>10</volume>
<page-range>206A</page-range></nlm-citation>
</ref>
<ref id="B13">
<label>13</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[San Tan]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Lam]]></surname>
<given-names><![CDATA[CS]]></given-names>
</name>
<name>
<surname><![CDATA[Chua]]></surname>
<given-names><![CDATA[TS]]></given-names>
</name>
<name>
<surname><![CDATA[Yeo]]></surname>
<given-names><![CDATA[TJ]]></given-names>
</name>
<name>
<surname><![CDATA[Chong]]></surname>
<given-names><![CDATA[DT]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Machine learning versus classical electrocardiographic criteria for echocardiographic left ventricular hypertrophy in a pre-participation cohort]]></article-title>
<source><![CDATA[Kardiol Pol]]></source>
<year>2021</year>
<volume>79</volume>
<page-range>654-61</page-range></nlm-citation>
</ref>
<ref id="B14">
<label>14</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Angelaki]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Marketou]]></surname>
<given-names><![CDATA[ME]]></given-names>
</name>
<name>
<surname><![CDATA[Barmparis]]></surname>
<given-names><![CDATA[GD]]></given-names>
</name>
<name>
<surname><![CDATA[Patrianakos]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Vardas]]></surname>
<given-names><![CDATA[PE]]></given-names>
</name>
<name>
<surname><![CDATA[Parthenakis]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Detection of abnormal left ventricular geometry in patients without cardiovascular disease through machine learning:An ECG-based approach]]></article-title>
<source><![CDATA[J Clin Hypertension]]></source>
<year>2021</year>
<volume>23</volume>
<page-range>935-45</page-range></nlm-citation>
</ref>
<ref id="B15">
<label>15</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sha]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[YQ]]></given-names>
</name>
<name>
<surname><![CDATA[Cai]]></surname>
<given-names><![CDATA[AP]]></given-names>
</name>
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[JY]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Prevalence and determinants of left ventricular geometric abnormalities in hypertensive patients:a study based on the updated classification system of left ventricular geometry]]></article-title>
<source><![CDATA[Hellenic J Cardiol]]></source>
<year>2017</year>
<volume>58</volume>
<page-range>124-32</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
