JCDR - Register at Journal of Clinical and Diagnostic Research
Journal of Clinical and Diagnostic Research, ISSN - 0973 - 709X
Internal Medicine Section DOI : 10.7860/JCDR/2019/42697.13329
Year : 2019 | Month : Dec | Volume : 13 | Issue : 12 Full Version Page : OC01 - OC04

Electrocardiography and Echocardiography Correlation in Patients of Left Ventricular Hypertrophy

Sachin Agrawal1, Sunil Kumar2, Vaibhao Gabhane3, Sourya Acharya4, Anil Wanjari5

1 Professor, Department of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Science (Deemed to be University), Wardha, Maharashtra, India.
2 Professor, Department of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Science (Deemed to be University), Wardha, Maharashtra, India.
3 Assistant Professor, Department of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Science (Deemed to be University), Wardha, Maharashtra, India.
4 Professor, Department of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Science (Deemed to be University), Wardha, Maharashtra, India.
5 Professor, Department of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Science (Deemed to be University), Wardha, Maharashtra, India.


NAME, ADDRESS, E-MAIL ID OF THE CORRESPONDING AUTHOR: Dr. Sunil Kumar, Professor, Department of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Science (Deemed to be University), Wardha, Maharashtra, India.
E-mail: sunilkumarmed@gmail.com
Abstract

Introduction

Electrocardiography (ECG) is the most common investigation for evaluation of Left Ventricular Hypertrophy (LVH), an important parameter of cardiovascular morbidity and mortality. This can also be evaluated by Echocardiography (Echo), which is superior to ECG but costlier, thus a major constraint in rural set ups.

Aim

To correlate the relationship of ECG and Echocardiography for the diagnosis of left ventricular hypertrophy and to find out sensitivity and specificity of various electrocardiographic criteria.

Materials and Methods

A total of 500 patients showing left ventricular hypertrophy by any of the mentioned ECG criteria, were enrolled in the study. Eight ECG criteria (Sokolow Lyon index, Romhilt Estes point score system, Talbot Criteria, Roberts’s criteria, Cornell Criteria, McPhie criteria, Casale criteria and Criteria of Koitos & Spodick) and Echocardiogram were taken into account for the diagnosis. The statistical tests were performed using SPSS version 10.0. Diagnostic validity tests such as sensitivity, specificity Positive Predictive Value (PPV), Negative Predictive Value (NPV) and diagnostic accuracy were calculated.

Results

Out of 500 patients, 270 (54%) had LVH on Echo which was the gold standard investigation for the diagnosis of LVH in this study. Sokolow Lyon criteria showed sensitivity of 77.78%, specificity of 60.87%, PPV of 70%, NPV of 70% and accuracy of 70%. Comparison of Combined or either one of Sokolow Lyon and Romhilt Estes point score system on ECG with Echo for LVH showed sensitivity of 100%, specificity 60.87%, PPV 75%, NPV 100% and diagnostic accuracy of 82%.

Conclusion

Adding two, three or four criteria except Sokolow Lyon and Romhilt Estes point score system does not increase the diagnostic efficacy of the electrocardiography for left ventricular hypertrophy.

Keywords

Introduction

Left Ventricular Hypertrophy (LVH) is a common condition that profoundly affects morbidity and mortality like coronary artery disease, congestive cardiac failure, stroke, ventricular arrhythmias and sudden cardiac death [1]. The Framingham heart study suggested that LVH was associated with a 3-5 fold increase of cardiovascular events with the greater risk for cardiac failure and stroke [2].

The 12 lead ECG is the most common investigation available for the diagnosis of LVH as it is cost effective and convenient with reliable probability [3,4]. Nowadays, Echo has become most important noninvasive diagnostic tool for the evaluation of heart morphology and its haemodynamics [3]. Echocardiography is the gold standard for the diagnosis of LVH. Lack of specialisation, technical difficulties, cost of machine and investigation prices makes thing difficult for the use of echo to diagnose LVH as the first choice in rural setting. At least 30 ECG criteria have been used in past 10 years to diagnose LVH, still, it was not clear which ECG criterion is better over other in diagnosing LVH [4,5].

This study had been planned to compare two or more than two ECG criteria to find out the best ECG indicator for the diagnosis of LVH in a rural teaching hospital keeping echo as gold standard as well as to find out sensitivity and specificity of various electrocardiographic criteria.

Materials and Methods

In this cross-sectional study, 500 subjects were taken using simple random sampling method, from August 2015 to August 2017. These patients were admitted to the Department of Medicine, Jawaharlal Nehru Medical College, Wardha, Maharashtra, India. The study received approval of the Institutional Ethics Committee [DMIMS (DU)/IEC/2014-15/815]. Patients on which echocardiography could not be performed and patient having poor Echo window were excluded from the study.

Sample size was calculated by using formula:

N=(Z2×P×(1-P))/d2

Z2=table value of alpha error from Standard Normal Distribution table=1.96*1.96=3.84. Power (P)=0.05 (1-P)=0.95. Precision error of estimation (d)=2%. N=(1.962×0.05×0.95)/0.022=465.6, Hence the sample size of 500 patients was taken for the study.

The nature of study was explained to the participants and written informed consent was taken from the participants in English and Marathi language. 12-lead Electrocardiography was performed by using BPL Cardiolinear 2100 view electrocardiography machine. Electrocardiographs were recorded after a supine resting period of at least 20 minutes.

Eight ECG criteria (Sokolow Lyon index, Romhilt Estes point score system, Talbot Criteria, Roberts’s criteria, Cornell Criteria, McPhie criteria, Casale criteria and Criteria of Koitos & Spodick) were considered for the diagnosis.

In Romhilt-Estes point score criteria, there are multiple ECG criteria. [RE1: Amplitude: any of these three=3 points. (Largest R or S in the limb leads ≥20 mm; S wave in V1 or V2 ≥30 mm; R wave in V5 or V6 ≥30 mm). RE2: ST-T change of typical LV strain=3 points. RE3: Left atrial involvement (Terminal negativity of P in V1 >1 mm and longer than 40 milliseconds)=3 points. RE4: Left axis deviation -30 or more=2 points. RE5: QRS duration ≥90 milliseconds=1 point. RE6: Intrinsicoid deflection in V5, V6 ≥50 ms=1 point)]. Total 13 points are there out of which 4 points are suggestive of probable and 5 or more points are diagnostic of LVH [6].

In Sokolow Lyon index, LVH is calculated by the amplitude of S wave in lead V1 plus amplitude of R wave in lead V5 or V6 and if it is more than 35 mm it is significant for the diagnosis of LVH [7].

In Talbot criteria, R wave in lead aVL equal to or more than 11 mm or R in aVL equal to or more than 13 mm with left axis deviation is suggestive of LVH [8].

Cornell criteria are voltage criteria for the diagnosis for LVH, which is different for male and females. S wave in V3 plus R wave in aVL should be more than 24 mm in male, and for females S wave in V3 and R wave in aVL should be more than 20 mm [8].

Robert criteria are also called as total 12 lead voltage criteria, in this total amplitude of all the leads is greater than 175 mm then it is significant for the diagnosis of LVH [9].

McPhie criterion considers tallest R wave amplitude plus deepest S wave amplitude in any precordial lead. If the total exceeds 4.5 mV i.e. 45 mm LVH should be considered [10].

The Casale criterion is different for male and female. For the diagnosis of LVH if R wave in aVL plus S wave in V3 is greater than 2.8 mV or 28 mm in male, and in female if it is 2.0 mV or 20 mm. This criterion is also called as modified Romhilt criteria [11].

Koitos and Spodick criteria states that if R wave amplitude in lead V6 is greater than R wave amplitude in lead V5 then it is significant for LVH [12].

Echocardiography was performed by using Philips HD 11 XE echocardiography machine with multi-frequency 2-4 megahertz probe. Transthoracic Doppler echocardiographic examinations were conducted and evaluated by specially trained and certified physicians. All echocardiographs underwent the same dedicated study certification procedures. All the examiners for the echocardiography had no prior knowledge of the study they were blinded as far as the study was concerned. Parasternal long axis view was taken and interventricular septal thickness is then measured in diastole. Left ventricular hypertrophy was measured via Interventricular Septal Thickness (IVST) where IVST equals to or greater than 11 mm is suggestive of left ventricular hypertrophy. Left ventricular hypertrophy was divided in mild hypertrophy (11-13 mm), moderate hypertrophy (14-16 mm) and severe hypertrophy (17 and above) [5]. Patients were also screened for Body Mass Index (BMI) and waist by hip ratio.

Statistical Analysis

Statistical analysis was done by using descriptive and inferential statistics using Chi square test, binary classification and multiple regression analysis and software used in the analysis were SPSS 17.0 version and GraphPad Prism 6.0 version and p<0.05 is considered as level of significance.

Results

Out of the total 500 patients, the mean age of the study population was 58.56 years (SD,13.43). All base line characteristics of the patients are shown in [Table/Fig-1].

Baseline characteristics of study population.

ParametersMean±SD
Age58.56±13.43
Gender: Male255 (51%)
 Female245 (49%)
BMI (kg/m2)21.07±3.49
WHR0.90±0.05
Systolic BP (mmHg)134.72±16.52
Diastolic BP (mmHg)82.32±8.89
LVH on Echo270 (54%)

Sensitivity, specificity, Positive Predictive Value (PPV), Negative Predictive Value (NPV) and diagnostic accuracy was highest for Romhilt-Estes Point Score as depicted in [Table/Fig-2]. Comparison of combined or either one of Sokolow Lyon and Romhilt Estes point score system on ECG with Echo for LVH revealed the following- Sensitivity=100%, Specificity=60.87%, Positive Predictive Value=75%, Negative Predictive Value=100%, Diagnostic Accuracy=82% [Table/Fig-3].

Comparison of sensitivity and specificity of all ECG criteria.

CriteriaSensitivitySpecificityPPVNPVAccuracy
Sokolow Lyon77.7860.87707070
Romhilt-Estes point score81.4869.5775.8676.1976
Talbot criteria51.8560.8760.8751.8556
Cornell voltage55.5660.8762.5053.8558
Robert criteria81.4839.1361.1164.2962
McPhies criteria51.8565.2263.6453.5758
Casale criteria48.1573.9168.4254.8460
Koitos and Spodick44.4456.0954.3046.2449.8

Comparison of Combined or either one of Sokolow Lyon and Romhilt Estes point score system on ECG with Echo for LVH.

Sokolow Lyon and/or Romhilt Estes point scoreECHOTotalχ2-value
LVH on ECHO positiveNo LVH on ECHO negative
ECG positive27090360228.30p=0.0001,S
ECG negative0140140
Total270230500

Comparison by any Two, Three, Four Criteria on ECG with ECHO for LVH are shown in [Table/Fig-4]. Multiple regression analysis of all the electrocardiographic criteria for left ventricular hypertrophy with interventricular septal thickness showed that all criteria except for Koitos and Spodick criteria correlate significantly with interventricular septal thickness as shown in [Table/Fig-5].

Comparison by any Two, Three, Four Criteria on ECG with ECHO for LVH.

CriteriaSensitivitySpecificityPPVNPVAccuracy
Two criteria18.8969.5742.1542.2242.20
Three criteria21.8510010052.1542.20
Four criteria7.4095.6566.6746.8148

Multiple Regression Analysis.

VariablesUnstandardized coefficientsStandardised coefficientstp-value
BStd. errorBeta
IVST19.230.387
Sokolow Lyon-1.490.162-0.3959.2330.0001*
Romhilt-Estes point score-1.370.155-0.3668.8860.0001*
Talbot criteria1.300.4970.3502.6220.009*
Cornell voltage-2.310.474-0.6244.8790.0001*
Robert criteria-2.280.161-0.55514.2560.0001*
McPhies criteria1.910.2440.5137.8330.0001*
Casale criteria-1.610.195-0.4228.2510.0001*
Koitos and Spodick-0.030.265-0.0080.1160.908#

* Significant; #Non significant


Discussion

In this study, it was found that combination or either one of the Sokolow Lyon and Romhilt Estes point score system for the diagnosis of LVH had very high sensitivity and negative predictive value. So absence of either any of these criteria can be very well used to rule out the diagnosis LVH. However because of low specificity of combination or either of these two criteria, presence of LVH by either of these two criteria on ECG should be confirmed by Echo.

Sokolow Lyon criteria showed higher sensitivity as compared to study done by Sosnowski M et al., [13] which showed sensitivity of 61%; this could be because of small number of the patients in the later study. Also, they had studied only the patients suffering from anterior wall myocardial infarction which leads to myocardial necrosis. This may be responsible for low voltage or decapitation of R waves on electrocardiography making detection of LVH on ECG more difficult. Specificity, positive predictive value, negative predictive value of this study correlates with other previously done studies [14-18]. Cornell criteria showed much higher sensitivity as compared to previous study by Martin TC et al., [19]. This could be because of the fact that this study was performed on Afro-Caribbean population, it was mentioned in the study itself that the sensitivity of this criteria were worse in African and it was very poor in Afro-Caribbean population.

Specificity in this study was 60.87% less than specificity found in the study conducted by Sosnowski M et al., which showed specificity of 83.7% [13]. The possible explanation for the differences in specificity between present and previous studies could be explained by the difference in the selection of the study subjects. Present study had included only patients of anterior wall myocardial infarction and other studies also had patients of systemic hypertension and other medical conditions. However, in present study, the present authors included patients solely based on their ECG criteria for LVH. Robert criteria is one of the most sensitive criteria for LVH on ECG in present study but its specificity was low. This criteria can be taken as a good indicator for LVH but echocardiography should be performed to confirm the finding LVH especially in the individual with low body mass index and normotensive individuals. Jaggy C et al., [14], Martin TC, et al., [19] and Venugopal K, et al., [20] showed less sensitivity and high specificity as compared to present study. This could be because of the fact that Robert voltage criteria measure voltage tallest R wave and deepest S wave in the QRS complexes in all the 12 leads. Thin build patients will have high R waves and deep S waves due to increase conductance through thin built as compared to obese or fat patients who have thick chest wall.

The mean BMI in present study was low (21%) as compared to a previous study by Jaggy C et al., which had high mean BMI of 25.6 [14]. Also, all the previous mentioned studies had exclusively included hypertensive patients which could have led to high specificity in these studies. Present study had not considered hypertension as the only inclusive criteria in the study which could be responsible for low specificity in the present study.

Combination or either one of Sokolow Lyon index and Romhilt Estes point score system was most accurate for the diagnosis of left ventricular hypertrophy on electrocardiography with comparison to the gold standard echocardiography. With the combination of these two criteria, sensitivity, specificity, PPV and NPV and diagnostic accuracy can be increased. This can be used as fair replacement for the echocardiography where echo is not possible. Combination of any two, three or even four criteria will not improve the diagnostic value of the electrocardiography but the combination of Sokolow Lyon and Romhilt Estes point score system will definitely improve the diagnostic efficacy of the ECG for the detection of left ventricular hypertrophy.

Limitation

In this study only interventricular septal thickness was used as a diagnostic for LVH on Echo instead of left ventricular mass which could have led to underestimation of prevalence of LVH on Echo. The present authors included all the patients of LVH based solely on ECG criteria, so there were no patients who were positive on Echo and negative on ECG hence overall sensitivity of the ECG could not be assessed. Being a rural tertiary centre, most of the patient present here at late stages of disease because of which the incidence of LVH could be higher in the study as compared to other similar studies conducted at urban areas.

Conclusion

Combination or either one of the Sokolow Lyon and Romhilt Estes point score system for ECG diagnosis of LVH has a very high sensitivity. Absence of either any of these criteria can be very well used to rule out the diagnosis LVH in resource limited setting like in the present study. However, because of low specificity of combination or either of these two criteria, present of LVH by either of these two criteria on ECG should be confirmed by Echo.

* Significant; #Non significant

References

[1]Cafka M, Rroji M, Seferi S, Barbullushi M, Burazeri G, Spahia N, Inflammation, Left Ventricular Hypertrophy, and Mortality in End-stage Renal Disease Iran J Kidney Dis 2016 10(4):217-23.  [Google Scholar]

[2]Chrispin J, Jain A, Soliman EZ, Association of electrocardiographic and imaging surrogates of left ventricular hypertrophy with incident atrial fibrillation: MESA (Multi-Ethnic Study of Atherosclerosis) J Am Coll Cardiol 2014 63:2007-13.10.1016/j.jacc.2014.01.06624657688  [Google Scholar]  [CrossRef]  [PubMed]

[3]Foppa M, Duncan BB, Rohde LE, Echocardiography-based left ventricular mass estimation. How should we define hypertrophy? Cardiovasc Ultrasound 2005 3:1710.1186/1476-7120-3-1715963236  [Google Scholar]  [CrossRef]  [PubMed]

[4]Cuspidi C, Facchetti R, Sala C, Bombelli M, Tadic M, Grassi G, Do Combined Electrocardiographic and Echocardiographic Markers of Left Ventricular Hypertrophy Improve Cardiovascular Risk Estimation? J Clin Hypertens 2016 1:16-18.10.1111/jch.1283427160298  [Google Scholar]  [CrossRef]  [PubMed]

[5]Left ventricle wall thickness- Echocardiography in ICU [Internet]. [cited 2016 Sep 11]. Available from: https://web.stanford.edu/group/ccm_echocardio/cgi-bin/mediawiki/index.php/Left_ventricle_wall_thickness  [Google Scholar]

[6]Romhilt DW, Estes EH, Point-score system for the ECG diagnosis of left ventricular hypertrophy Amer Heart J 1968 75:75210.1016/0002-8703(68)90035-5  [Google Scholar]  [CrossRef]

[7]Sokolow M, Lyon TP, The ventricular complex in left ventricular hypertrophy as obtained by unipolar precordial and limb leads Amer Heart J 1949 37:16110.1016/0002-8703(49)90562-1  [Google Scholar]  [CrossRef]

[8]Talbot S, Electrical axis and voltage criteria on left ventricular hypertrophy Am Heart J 1975 90(4):420-25.10.1016/0002-8703(75)90420-2  [Google Scholar]  [CrossRef]

[9]Roberts WC, Day PJ, Electrocardiographic observations in clinically isolated, pure, chronic, severe aortic regurgitation: Analysis of 30 necropsy patients aged 19 to 65 years Am J Cardiol 1985 55(4):432-38.10.1016/0002-9149(85)90389-3  [Google Scholar]  [CrossRef]

[10]McPhie J, Left ventricular hypertrophy: electrocardiographic diagnosis Australas Ann Med 1958 7(4):317-27.10.1111/imj.1958.7.4.31713607332  [Google Scholar]  [CrossRef]  [PubMed]

[11]Casale PN, Devereux RB, Kligfield P, Eisenberg RR, Miller DH, Chaudhary BS, Electrocardiographic detection of left ventricular hypertrophy: development and prospective validation of improved criteria J Am Coll Cardiol 1985 6(3):572-80.10.1016/S0735-1097(85)80115-7  [Google Scholar]  [CrossRef]

[12]Peguero JG, Presti SL, Perez J, Issa O, Brenes JC, Tolentino A, Electrocardiographic Criteria for the Diagnosis of Left Ventricular Hypertrophy J Am Coll Cardiol 2017 69:1694-1703.10.1016/j.jacc.2017.01.03728359515  [Google Scholar]  [CrossRef]  [PubMed]

[13]Sosnowski M, Korzeniowska B, Skrzypek-Wańha J, Parma R, Tendera M, The prognostic role of electrocardiographic left ventricular mass assessment for identifying PCI-treated patients with acute ST-elevation myocardial infarction at high risk of unfavourable outcome Cardiol J 2007 14(4):347-54.  [Google Scholar]

[14]Jaggy C, Perret F, Bovet P, van Melle G, Zerkiebel NG, Performance of classic electrocardiographic criteria for left ventricular hypertrophy in an African population Hypertension 2000 36:5410.1161/01.HYP.36.1.5410904012  [Google Scholar]  [CrossRef]  [PubMed]

[15]Gaddeppanavar J, Karinagannanavar A, Iyengar VS, Girish I, Meti K, Validity and predictive value of electrocardiogram in diagnosing left ventricular hypertrophy as compared to 2D echocardiography IJAR 2015 3(7):1248-55.  [Google Scholar]

[16]Woythaler JN, Singer SL, Kwan OL, Meltzer RS, Reubner B, Bommer W, Accuracy of echocardiography versus electrocardiography in detecting left ventricular hypertrophy: Comparison with postmortem mass measurements J Am Coll Cardiol 1983 2(2):305-11.10.1016/S0735-1097(83)80167-3  [Google Scholar]  [CrossRef]

[17]Colossimo AP, Costa F de A, Riera ARP, Bombig MTN, Lima VC, Fonseca FAH, Electrocardiogram sensitivity in left ventricular hypertrophy according to gender and cardiac mass Arq Bras Cardiol 2011 97(3):225-31.10.1590/S0066-782X201100500008521845342  [Google Scholar]  [CrossRef]  [PubMed]

[18]Kumar D, Bajaj R, Chhabra L, Spodick DH, Refinement of total 12-lead QRS voltage criteria for diagnosing left ventricular hypertrophy World Journal of Cardiovascular Diseases 2013 3:210-214.10.4236/wjcd.2013.32030  [Google Scholar]  [CrossRef]

[19]Martin TC, Bhaskar YG, Umesh KV, Sensitivity and specificity of the electrocardiogram in predicting the presence of increased left ventricular mass index on the echocardiogram in Afro-Caribbean hypertensive patients West Indian Med J 2007 56(2):134-38.10.1590/S0043-3144200700020000617910143  [Google Scholar]  [CrossRef]  [PubMed]

[20]Venugopal K, Gadwalkar S, Ramamurthy P, Electrocardiogram and echocardiographic study of left ventricular hypertrophy in patients with essential hypertension in a teaching medical college J Sci Soc 2016 43(2):7510.4103/0974-5009.182600  [Google Scholar]  [CrossRef]