BACKGROUND: Echocardiography, the dominant imaging modality for quantification of left ventricular metrics, has undergone continuing development in the past few decades. However, given the lack of population-based data, current guidelines are still based on restricted and small data sets analyzed with methods including expert opinion. This work presents empirically derived reference values from a large-scale, epidemiologic study conducted with state-of-the-art imaging technology and methods. METHODS AND RESULTS: The distribution of echocardiographic measurements of the left ventricle was analyzed in a population-based sample of 5000 mid-Europeans from the Gutenberg Heart Study in Germany. The randomly selected, noninstitutionalized sample provides data on apparently healthy individuals, as well as on those with prevalent disease. Standardized echocardiograms were recorded in a comprehensive data set at a single site with centralized training and certification of sonographers. Sex-specific reference limits and categories indicating the grade of deviation from the reference were calculated, and nomograms were created by quantile regression. Detailed information is given on the association between left ventricular geometry and age. CONCLUSIONS: The rapidly evolving echocardiographic technology with persistent improvements in image quality and new measurement conventions require the evaluation of new reference limits for left ventricular metrics. The present investigation formulates reference limits and nomograms from state-of-the-art technology and methods based on a large population-based data set. The distribution of echocardiographic measures of left ventricular geometry presents, in part, nonlinear associations with age, which should be the subject of future investigations.
BACKGROUND: Echocardiography, the dominant imaging modality for quantification of left ventricular metrics, has undergone continuing development in the past few decades. However, given the lack of population-based data, current guidelines are still based on restricted and small data sets analyzed with methods including expert opinion. This work presents empirically derived reference values from a large-scale, epidemiologic study conducted with state-of-the-art imaging technology and methods. METHODS AND RESULTS: The distribution of echocardiographic measurements of the left ventricle was analyzed in a population-based sample of 5000 mid-Europeans from the Gutenberg Heart Study in Germany. The randomly selected, noninstitutionalized sample provides data on apparently healthy individuals, as well as on those with prevalent disease. Standardized echocardiograms were recorded in a comprehensive data set at a single site with centralized training and certification of sonographers. Sex-specific reference limits and categories indicating the grade of deviation from the reference were calculated, and nomograms were created by quantile regression. Detailed information is given on the association between left ventricular geometry and age. CONCLUSIONS: The rapidly evolving echocardiographic technology with persistent improvements in image quality and new measurement conventions require the evaluation of new reference limits for left ventricular metrics. The present investigation formulates reference limits and nomograms from state-of-the-art technology and methods based on a large population-based data set. The distribution of echocardiographic measures of left ventricular geometry presents, in part, nonlinear associations with age, which should be the subject of future investigations.
Authors: Christoph Sinning; Francisco Ojeda; Philipp S Wild; Renate B Schnabel; Michael Schwarzl; Sevenai Ohdah; Karl J Lackner; Norbert Pfeiffer; Matthias Michal; Maria Blettner; Thomas Munzel; Tibor Kempf; Kai C Wollert; Kari Kuulasmaa; Stefan Blankenberg; Veikko Salomaa; Dirk Westermann; Tanja Zeller Journal: Clin Res Cardiol Date: 2016-12-21 Impact factor: 5.460
Authors: Tanja Zeller; Claudia Schurmann; Katharina Schramm; Christian Müller; Soonil Kwon; Philipp S Wild; Alexander Teumer; David Herrington; Arne Schillert; Licia Iacoviello; Adelheid Kratzer; Annika Jagodzinski; Mahir Karakas; Jingzhong Ding; Johannes T Neumann; Kari Kuulasmaa; Christian Gieger; Tim Kacprowski; Renate B Schnabel; Michael Roden; Simone Wahl; Jerome I Rotter; Francisco Ojeda; Maren Carstensen-Kirberg; David-Alexandre Tregouet; Marcus Dörr; Thomas Meitinger; Karl J Lackner; Petra Wolf; Stephan B Felix; Ulf Landmesser; Simona Costanzo; Andreas Ziegler; Yongmei Liu; Uwe Völker; Walter Palmas; Holger Prokisch; Xiuqing Guo; Christian Herder; Stefan Blankenberg; Georg Homuth Journal: Hypertension Date: 2017-08-07 Impact factor: 10.190
Authors: F Häuser; H Rossmann; D Laubert-Reh; P S Wild; T Zeller; C Müller; S Neuwirth; S Blankenberg; K J Lackner Journal: Genes Immun Date: 2015-09-10 Impact factor: 2.676
Authors: Amil M Shah; Susan Cheng; Hicham Skali; Justina Wu; Judy R Mangion; Dalane Kitzman; Kunihiro Matsushita; Suma Konety; Kenneth R Butler; Ervin R Fox; Nakela Cook; Hanyu Ni; Josef Coresh; Thomas H Mosley; Gerardo Heiss; Aaron R Folsom; Scott D Solomon Journal: Circ Cardiovasc Imaging Date: 2013-11-08 Impact factor: 7.792
Authors: Nicole Lüneburg; Wolfgang Lieb; Tanja Zeller; Ming-Huei Chen; Renke Maas; Angela M Carter; Vanessa Xanthakis; Nicole L Glazer; Edzard Schwedhelm; Sudha Seshadri; Mohammad Arfan Ikram; William T Longstreth; Myriam Fornage; Inke R König; Christina Loley; Francisco M Ojeda; Arne Schillert; Thomas J Wang; Heinrich Sticht; Anja Kittel; Jörg König; Emelia J Benjamin; Lisa M Sullivan; Isabel Bernges; Maike Anderssohn; Andreas Ziegler; Christian Gieger; Thomas Illig; Christa Meisinger; H-Erich Wichmann; Philipp S Wild; Heribert Schunkert; Bruce M Psaty; Kerri L Wiggins; Susan R Heckbert; Nicholas Smith; Karl Lackner; Kathryn L Lunetta; Stefan Blankenberg; Jeanette Erdmann; Thomas Munzel; Peter J Grant; Ramachandran S Vasan; Rainer H Böger Journal: Circ Cardiovasc Genet Date: 2014-09-21
Authors: Christoph Sinning; Till Keller; Tanja Zeller; Francisco Ojeda; Michael Schlüter; Renate Schnabel; Edith Lubos; Christoph Bickel; Karl J Lackner; Patrick Diemert; Thomas Munzel; Stefan Blankenberg; Philipp S Wild Journal: Clin Res Cardiol Date: 2013-11-23 Impact factor: 5.460