Literature DB >> 31815851

Current diagnostic ECG criteria for left ventricular hypertrophy: is it time to change paradigm in the analysis of data?

Danilo Ricciardi1, Giampaolo Vetta1, Antonio Nenna1, Francesco Picarelli1, Antonio Creta1,2, Andrea Segreti1, Camilla Cavallaro1, Myriam Carpenito1, Flavio Gioia1, Natale Di Belardino3, Mario Lusini1, Massimo Chello1, Vito Calabrese1, Francesco Grigioni1.   

Abstract

BACKGROUND: Twelve-lead ECG represents the most common diagnostic tool in clinical cardiology and allows an immediate screening of left ventricular hypertrophy (LVH), but current criteria might have poor clinical usefulness in everyday clinical practice due to lack of sensitivity.
METHODS: The current study aims to review and compare the clinical performance of known ECG criteria of LVH in a real-life setting; 2134 patients had ECG and echocardiographic exams performed during the same hospitalization. All traces were retrospectively analysed, and the amplitudes of the waves were manually measured. Transthoracic echocardiography was considered as the gold standard to assess LVH.
RESULTS: LVH had a prevalence of 58%. Considering the diagnostic performance of ECG criteria for LVH, the Cornell voltage carried the best area under the receiver operating characteristic curve (0.678), while RaVF (R wave in aVF lead) had the poorer result (0.440). The R5/R6 criterion had the best sensitivity (60%), but with the worst specificity (37.4%). The 'Q or S aVR' had the best specificity (99.9%) but lacks sensitivity (0.80%). The Peguero Lo Presti criterion had a sensitivity of 42.3% and a specificity of 75.8%. The Cornell voltage and the Cornell product had similar area under the receiver operating characteristic curve values which were found to be significantly greater compared with other criteria.
CONCLUSION: Current ECG criteria of LVH have low sensitivity despite an acceptable specificity. Among these, Cornell voltage and Cornell product criteria were equally found to have a more accurate diagnostic performance compared with other criteria. To overcome the intrinsic limitations of the current ECG LVH criteria, a new paradigm in the analysis of electrocardiographic data might be necessary.

Entities:  

Mesh:

Year:  2020        PMID: 31815851     DOI: 10.2459/JCM.0000000000000907

Source DB:  PubMed          Journal:  J Cardiovasc Med (Hagerstown)        ISSN: 1558-2027            Impact factor:   2.160


  7 in total

Review 1.  A meta-analytic evaluation of the diagnostic accuracy of the electrocardiographic Peguero-Lo Presti criterion for left ventricular hypertrophy.

Authors:  Jean Jacques Noubiap; Thomas A Agbaedeng; Ulrich Flore Nyaga; Clovis Nkoke; Ahmadou M Jingi
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-07-01       Impact factor: 3.738

2.  ECG Indices Poorly Predict Left Ventricular Hypertrophy and Are Applicable Only in Individuals With Low Cardiovascular Risk.

Authors:  Małgorzata Chlabicz; Jacek Jamiołkowski; Marlena Paniczko; Paweł Sowa; Małgorzata Szpakowicz; Magda Łapińska; Natalia Jurczuk; Marcin Kondraciuk; Katarzyna Ptaszyńska-Kopczyńska; Andrzej Raczkowski; Anna Szpakowicz; Karol Adam Kamiński
Journal:  J Clin Med       Date:  2020-05-06       Impact factor: 4.241

3.  Peguero-Lo Presti criteria for the diagnosis of left ventricular hypertrophy: A systematic review and meta-analysis.

Authors:  Zongying Yu; Jie Song; Li Cheng; Shasha Li; Qun Lu; Yafeng Zhang; Xiaoci Lin; Dadong Liu
Journal:  PLoS One       Date:  2021-01-29       Impact factor: 3.240

4.  Diagnostic Accuracy of the Electrocardiography Criteria for Left Ventricular Hypertrophy (Cornell Voltage Criteria, Sokolow-Lyon Index, Romhilt-Estes, and Peguero-Lo Presti Criteria) Compared to Transthoracic Echocardiography.

Authors:  Nurseli Bayram; Haldun Akoğlu; Erkman Sanri; Sinan Karacabey; Melis Efeoğlu; Ozge Onur; Arzu Denizbasi
Journal:  Cureus       Date:  2021-03-14

5.  Evaluation of Different Criteria in the Diagnosis of Left Ventricular Hypertrophy by Electrocardiogram in Comparison With Echocardiogram.

Authors:  João Pedro Marcato; Felipe Senra Santos; André Gama Palone; Gustavo Lenci Marques
Journal:  Cureus       Date:  2022-06-27

6.  Deep learning assessment of left ventricular hypertrophy based on electrocardiogram.

Authors:  Xiaoli Zhao; Guifang Huang; Lin Wu; Min Wang; Xuemin He; Jyun-Rong Wang; Bin Zhou; Yong Liu; Yesheng Lin; Dinghui Liu; Xianguan Yu; Suzhen Liang; Borui Tian; Linxiao Liu; Yanming Chen; Shuhong Qiu; Xujing Xie; Lanqing Han; Xiaoxian Qian
Journal:  Front Cardiovasc Med       Date:  2022-08-11

7.  Clinical applicability and diagnostic performance of electrocardiographic criteria for left ventricular hypertrophy diagnosis in older adults.

Authors:  Caio de Assis Moura Tavares; Nelson Samesima; Ludhmila Abrahão Hajjar; Lucas C Godoy; Eduardo Messias Hirano Padrão; Felippe Lazar Neto; Mirella Facin; Wilson Jacob-Filho; Michael E Farkouh; Carlos Alberto Pastore
Journal:  Sci Rep       Date:  2021-06-01       Impact factor: 4.379

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.