Literature DB >> 18503491

Diagnostic value of different electrocardiographic voltage criteria for hypertrophic cardiomyopathy in young people.

B Erice1, C Romero, M Andériz, E Gorostiaga, M Izquierdo, J Ibáñez.   

Abstract

Differences in the diagnostic value of various electrocardiographic (ECG) voltage indices for hypertrophic cardiomyopathy (HCM) are yet to be elucidated. The objective of this study was to examine the strongest predictor within ECG voltage criteria for left ventricular hypertrophy (LVH) in HCM to be applied in cardiovascular examination of young people. The electrocardiograms of 36 healthy individuals with high voltages, mimicking HCM (i.e., false-positive), were statistically compared with those of 30 subjects with an ECG diagnosis of HCM. The most striking ECG voltages observed in HCM patients were those included in leads DI, aVL (R wave) and V3 (S wave) (P<0.001), typically present in the Cornell, Gubner and Lewis voltage criteria. In a stepwise logistic regression analysis model, these indices were the most significant predictors of HCM (P<0.001, P<0.027 and P<0.006, respectively). The combination of Cornell (RaVL+SV3>2.8 mV in men and>2.0 mV in women) with Lewis (RI+(''')SIII-RIII-SI>1.7 mV) or Gubner-Ungerleider (RI+(''')SIII>2.5 mV) indices displayed the highest net sensitivity (80.0% and 76.7%, respectively) while retaining excellent specificity (88.9% and 91.6%, respectively). In conclusion, the combination of the Cornell and the Lewis or Gubner voltage criteria showed the greatest net sensitivity and specificity for the LVH diagnosis of HCM in a cardiovascular examination conducted in young people.

Entities:  

Mesh:

Year:  2009        PMID: 18503491     DOI: 10.1111/j.1600-0838.2008.00812.x

Source DB:  PubMed          Journal:  Scand J Med Sci Sports        ISSN: 0905-7188            Impact factor:   4.221


  5 in total

1.  Derivation and Validation of a Screening Model for Hypertrophic Cardiomyopathy Based on Electrocardiogram Features.

Authors:  Lanyan Guo; Chao Gao; Weiping Yang; Zhiling Ma; Mengyao Zhou; Jianzheng Liu; Hong Shao; Bo Wang; Guangyu Hu; Hang Zhao; Ling Zhang; Xiong Guo; Chong Huang; Zhe Cui; Dandan Song; Fangfang Sun; Liwen Liu; Fuyang Zhang; Ling Tao
Journal:  Front Cardiovasc Med       Date:  2022-05-24

2.  Electrocardiographic Left Ventricular Hypertrophy Among Gambian Diabetes Mellitus Patients.

Authors:  M Jobe; A Kane; J C Jones; S Pessinaba; B C Nkum; S Abdou Ba; O A Nyan
Journal:  Ghana Med J       Date:  2015-03

3.  How are ECG parameters related to cardiac magnetic resonance images? Electrocardiographic predictors of left ventricular hypertrophy and myocardial fibrosis in hypertrophic cardiomyopathy.

Authors:  Zsofia Dohy; Andras Vereckei; Viktor Horvath; Csilla Czimbalmos; Liliana Szabo; Attila Toth; Ferenc I Suhai; Ibolya Csecs; David Becker; Bela Merkely; Hajnalka Vago
Journal:  Ann Noninvasive Electrocardiol       Date:  2020-04-23       Impact factor: 1.468

4.  Electro- and echocardiographic features of left ventricle hypertrophy in patients with hypertrophic cardiomyopathy.

Authors:  Karolina Bula; Joanna Bisaga; Bartłomiej Feret; Michał Razik; Barbara Rozpiątkowska; Mateusz Tometczak; Katarzyna Mizia-Stec
Journal:  Ann Noninvasive Electrocardiol       Date:  2022-07-19       Impact factor: 1.485

5.  Subclinical Hypertrophic Cardiomyopathy in Elite Athletes: Knowledge Gaps Persist.

Authors:  Fiona Chan; Tim Lockie; Lorenzo Monserrat; James C Moon; Gabriella Captur
Journal:  JACC Case Rep       Date:  2022-01-19
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.