Literature DB >> 26040440

The effect of obesity on electrocardiographic detection of hypertensive left ventricular hypertrophy: recalibration against cardiac magnetic resonance.

J C L Rodrigues1,2, B McIntyre3, A G Dastidar1, S M Lyen1,4, L E Ratcliffe5, A E Burchell5, E C Hart2,5, C Bucciarelli-Ducci1, M C K Hamilton1,4, J F R Paton2,5, A K Nightingale2,5, N E Manghat1,4.   

Abstract

Electrocardiograph (ECG) criteria for left ventricular hypertrophy (LVH) are a widely used clinical tool. We recalibrated six ECG criteria for LVH against gold-standard cardiac magnetic resonance (CMR) and assessed the impact of obesity. One hundred and fifty consecutive tertiary hypertension clinic referrals for CMR (1.5 T) were reviewed. Patients with cardiac pathology potentially confounding hypertensive LVH were excluded (n=22). The final sample size was 128 (age: 51.0±15.2 years, 48% male). LVH was defined by CMR. From a 12-lead ECG, Sokolow-Lyon voltage and product, Cornell voltage and product, Gubner-Ungerleidger voltage and Romhilt-Estes score were evaluated, blinded to the CMR. ECG diagnostic performance was calculated. LVH by CMR was present in 37% and obesity in 51%. Obesity significantly reduced ECG sensitivity, because of significant attenuation in mean ECG values for Cornell voltage (22.2±5.7 vs 26.4±9.4 mm, P<0.05), Cornell product (2540±942 vs 3023±1185 mm • ms, P<0.05) and for Gubner-Ungerleider voltage (18.2±7.1 vs 23.3±1.2 mm, P<0.05). Obesity also significantly reduced ECG specificity, because of significantly higher prevalence of LV remodeling (no LVH but increased mass-to-volume ratio) in obese subjects without LVH (36% vs 16%, P<0.05), which correlated with higher mean ECG LVH criteria values. Obesity-specific partition values were generated at fixed 95% specificity; Cornell voltage had highest sensitivity in non-obese (56%) and Sokolow-Lyon product in obese patients (24%). Obesity significantly lowers ECG sensitivity at detecting LVH, by attenuating ECG LVH values, and lowers ECG specificity through changes associated with LV remodeling. Our obesity-specific ECG partition values could improve the diagnostic performance in obese patients with hypertension.

Entities:  

Mesh:

Year:  2015        PMID: 26040440      PMCID: PMC4750022          DOI: 10.1038/jhh.2015.58

Source DB:  PubMed          Journal:  J Hum Hypertens        ISSN: 0950-9240            Impact factor:   3.012


  35 in total

1.  Inter-study variability in left ventricular mass measurement. Comparison between M-mode echography and MRI.

Authors:  P Germain; G Roul; B Kastler; J M Mossard; P Bareiss; A Sacrez
Journal:  Eur Heart J       Date:  1992-08       Impact factor: 29.983

2.  Distance correction for precordial electrocardiographic voltage in estimating left ventricular mass: an echocardiographic study.

Authors:  J D Horton; H S Sherber; E G Lakatta
Journal:  Circulation       Date:  1977-03       Impact factor: 29.690

3.  Separate and joint influences of obesity and mild hypertension on left ventricular mass and geometry: the Framingham Heart Study.

Authors:  M S Lauer; K M Anderson; D Levy
Journal:  J Am Coll Cardiol       Date:  1992-01       Impact factor: 24.094

4.  Left ventricular hypertrophy and myocardial ischemia in systemic hypertension.

Authors:  F G Dunn; S D Pringle
Journal:  Am J Cardiol       Date:  1987-12-14       Impact factor: 2.778

5.  Determinants of sensitivity and specificity of electrocardiographic criteria for left ventricular hypertrophy.

Authors:  D Levy; S B Labib; K M Anderson; J C Christiansen; W B Kannel; W P Castelli
Journal:  Circulation       Date:  1990-03       Impact factor: 29.690

6.  Precursors of sudden coronary death. Factors related to the incidence of sudden death.

Authors:  W B Kannel; J T Doyle; P M McNamara; P Quickenton; T Gordon
Journal:  Circulation       Date:  1975-04       Impact factor: 29.690

7.  Electrocardiographic detection of left ventricular hypertrophy by the simple QRS voltage-duration product.

Authors:  T J Molloy; P M Okin; R B Devereux; P Kligfield
Journal:  J Am Coll Cardiol       Date:  1992-11-01       Impact factor: 24.094

8.  Electrocardiographic detection of left ventricular hypertrophy: development and prospective validation of improved criteria.

Authors:  P N Casale; R B Devereux; P Kligfield; R R Eisenberg; D H Miller; B S Chaudhary; M C Phillips
Journal:  J Am Coll Cardiol       Date:  1985-09       Impact factor: 24.094

9.  Ventricular arrhythmias in patients with hypertensive left ventricular hypertrophy.

Authors:  J M McLenachan; E Henderson; K I Morris; H J Dargie
Journal:  N Engl J Med       Date:  1987-09-24       Impact factor: 91.245

10.  Geometric determinants of electrocardiographic left ventricular hypertrophy.

Authors:  R B Devereux; M C Phillips; P N Casale; R R Eisenberg; P Kligfield
Journal:  Circulation       Date:  1983-04       Impact factor: 29.690

View more
  12 in total

1.  Diagnostic performance of electrocardiographic criteria for left ventricular hypertrophy among various body mass index groups compared to diagnosis by cardiac magnetic resonance imaging.

Authors:  Veerawat Nomsawadi; Rungroj Krittayaphong
Journal:  Ann Noninvasive Electrocardiol       Date:  2019-02-05       Impact factor: 1.468

2.  Long-Term Effects of an Intensive Lifestyle Intervention on Electrocardiographic Criteria for Left Ventricular Hypertrophy: The Look AHEAD Trial.

Authors:  Tina E Brinkley; Andrea Anderson; Elsayed Z Soliman; Alain G Bertoni; Frank Greenway; William C Knowler; Stephen P Glasser; Edward S Horton; Mark A Espeland
Journal:  Am J Hypertens       Date:  2018-04-13       Impact factor: 2.689

3.  Questionable validity of left ventricular hypertrophy cutoff values in morbidly and super-morbidly obese patients.

Authors:  Justyna Domienik-Karłowicz; Zuzanna Rymarczyk; Wojciech Lisik; Katarzyna Kurnicka; Michał Ciurzyński; Maksymilian Bielecki; Maciej Kosieradzki; Piotr Pruszczyk
Journal:  Ann Noninvasive Electrocardiol       Date:  2018-06-17       Impact factor: 1.468

4.  Learning to Disentangle Inter-Subject Anatomical Variations in Electrocardiographic Data.

Authors:  Prashnna K Gyawali; Jaideep Vitthal Murkute; Maryam Toloubidokhti; Xiajun Jiang; B Milan Horacek; John L Sapp; Linwei Wang
Journal:  IEEE Trans Biomed Eng       Date:  2022-01-21       Impact factor: 4.538

5.  Comprehensive First-Line Magnetic Resonance Imaging in Hypertension: Experience From a Single-Center Tertiary Referral Clinic.

Authors:  Amy E Burchell; Jonathan C L Rodrigues; Max Charalambos; Laura E K Ratcliffe; Emma C Hart; Julian F R Paton; Andreas Baumbach; Nathan E Manghat; Angus K Nightingale
Journal:  J Clin Hypertens (Greenwich)       Date:  2016-10-19       Impact factor: 3.738

6.  Electrocardiographic detection of hypertensive left atrial enlargement in the presence of obesity: re-calibration against cardiac magnetic resonance.

Authors:  J C L Rodrigues; T Erdei; A G Dastidar; B McIntyre; A E Burchell; L E K Ratcliffe; E C Hart; M C K Hamilton; J F R Paton; A K Nightingale; N E Manghat
Journal:  J Hum Hypertens       Date:  2016-09-08       Impact factor: 3.012

7.  Optimized electrocardiographic criteria for the detection of left ventricular hypertrophy in obesity patients.

Authors:  Sanne M Snelder; Sweder W E van de Poll; Lotte E de Groot-de Laat; Isabella Kardys; Felix Zijlstra; Bas M van Dalen
Journal:  Clin Cardiol       Date:  2020-01-28       Impact factor: 2.882

8.  Electrocardiographic criteria which have the best prognostic significance in hypertensive patients with echocardiographic hypertrophy of left ventricle: 15-year prospective study.

Authors:  Dragan B Djordjevic; Ivan S Tasic; Svetlana T Kostic; Bojana N Stamenkovic; Milan B Lovic; Nikola D Djordjevic; Goran P Koracevic; Dragan B Lovic
Journal:  Clin Cardiol       Date:  2020-06-03       Impact factor: 2.882

9.  Obesity Potentiates the Risk of Drug-Induced Long QT Syndrome - Preliminary Evidence from WNIN/Ob Spontaneously Obese Rat.

Authors:  Ajay Godwin Potnuri; Kallamadi Prathap Reddy; Pothani Suresh; Gulam Mohammed Husain; Munawwar Husain Kazmi; Nemani Harishankar
Journal:  Cardiovasc Toxicol       Date:  2021-07-24       Impact factor: 3.231

10.  Neural networks applied to 12-lead electrocardiograms predict body mass index, visceral adiposity and concurrent cardiometabolic ill-health.

Authors:  Xinyang Li; Kiran Haresh Kumar Patel; Lin Sun; Nicholas S Peters; Fu Siong Ng
Journal:  Cardiovasc Digit Health J       Date:  2021-12
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.