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Hypertension. 1996;27:251-258

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*Heart Valve Diseases

(Hypertension. 1996;27:251-258.)
© 1996 American Heart Association, Inc.


Articles

Time-Voltage Area of the QRS for the Identification of Left Ventricular Hypertrophy

Peter M. Okin; Mary J. Roman; Richard B. Devereux; Paul Kligfield

From The Division of Cardiology, Department of Medicine, The New York Hospital–Cornell Medical Center, New York.

Correspondence to Peter M. Okin, MD, The New York Hospital–Cornell Medical Center, 525 E 68th St, New York, NY 10021.


*    Abstract
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*Abstract
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Abstract Standard electrocardiographic criteria have exhibited poor sensitivity for left ventricular hypertrophy at acceptable levels of specificity and perform less well in women than men, even when sex-specific criteria are used. The time-voltage integral of the horizontal plane vector QRS complex can improve identification of hypertrophy in men, but performance of this approach in women and the effect of sex-specific criteria on accuracy have not been examined. To evaluate the accuracy of the time-voltage integral of the QRS complex for the identification of left ventricular hypertrophy in women and to examine the effect of sex- and non–sex-specific criteria on test performance, we obtained standard 12-lead and orthogonal-lead signal-averaged electrocardiograms and echocardiograms in 175 control subjects without hypertrophy (43 women and 132 men) and 75 patients with hypertrophy (26 women and 49 men) defined by echocardiographic criteria (indexed left ventricular mass >110 g/m2 in women and >125 g/m2 in men). Voltage of the QRS complex was integrated over the total QRS duration in leads X and Z for calculation of the time-voltage integral of the horizontal plane vector complex. With the use of a partition of 99.2 µV·s with a specificity of 98% in the entire normal group, sensitivity of the horizontal plane vector integral was significantly lower in women than men (31% versus 71%, P<.001). In contrast, use of sex-specific partitions of 75.4 µV·s in women and 99.2 µV·s in men with matched 98% specificity significantly improved sensitivity in women to 81% (P<.001), with no change in sensitivity in men (71%). Comparison of receiver operating characteristic curves with the use of sex-specific criteria demonstrated no significant difference in overall performance of the horizontal plane vector integral between men and women. The 81% and 71% sensitivities of the sex-specific horizontal plane vector integral were significantly greater than the 27% to 58% sensitivities of sex-specific 12-lead electrocardiographic criteria in this population. Thus, sex-specific criteria significantly improve performance of the time-voltage integral of the QRS for the identification of left ventricular hypertrophy in women, with no loss of accuracy in men. Use of the time-voltage integral can improve the accuracy of the electrocardiogram for the identification of left ventricular hypertrophy in both women and men.


Key Words: echocardiography • electrocardiography • gender • hypertrophy


*    Introduction
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up arrowAbstract
*Introduction
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down arrowResults
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The standard 12-lead ECG remains the most widely used initial diagnostic test in the screening process for LVH. However, both simple voltage criteria based on measured QRS amplitudes1 2 3 4 5 6 and more complex ECG criteria that incorporate QRS voltages, QRS duration, P wave amplitudes, repolarization abnormalities, and demographic variables in linear scores5 6 7 8 9 10 have exhibited relatively poor sensitivity at high levels of specificity, limiting the clinical utility and cost-effectiveness of the ECG for the detection of hypertrophy.11 In addition, although information is limited regarding the relative performance of ECG criteria in men and women,4 12 13 recent observations suggest that even when ECG criteria are adjusted for known sex differences in QRS duration and amplitudes,14 15 16 17 18 19 standard ECG criteria appear to have lower accuracy in women than men.20 21

Accuracy of the ECG for the detection of LVH can be improved based on observations that relate increased LV mass to increases in the time-voltage area of the QRS complex.22 23 24 25 26 27 For example, the simple product of QRS voltage and duration, as an approximation of the time-voltage area of the QRS, can improve the ECG identification of hypertrophy as defined at autopsy25 and by echocardiography.26 However, test performance of these simple voltage-duration products is significantly lower in women than men.21 More precise quantification of QRS area by measurement of the time-voltage integral of the horizontal plane vector can further improve the ECG identification of LVH in men.27 However, performance of this approach in women and the effect of sex-specific criteria on test accuracy have not been examined. Therefore, we conducted the present study to evaluate the accuracy of the time-voltage integral of the QRS complex for the identification of LVH in women and to examine the effect of sex- and non–sex-specific criteria on test performance.


*    Methods
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up arrowAbstract
up arrowIntroduction
*Methods
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Study Population
Signal-averaged and 12-lead ECGs were obtained in 250 subjects who underwent echocardiography at The New York Hospital–Cornell Medical Center as part of several ongoing longitudinal studies. Group 1 consisted of 175 normotensive or mildly hypertensive subjects (132 men and 43 women; mean age, 48±10 [SD] years) with normal LV mass indexed to body surface area as defined below. Group 2 consisted of 75 subjects (49 men and 26 women; mean age, 51±16 years) with chronic regurgitant valvular heart disease and LVH. Because of the absence of any subjects with right or left bundle-branch block in group 1, subjects with bundle branch blocks were excluded from group 2. All subjects gave informed consent to participation in the study, which was performed in accordance with protocols approved by the Committee on Human Rights in Research of Cornell University Medical College. Data on signal-averaged ECG performance in a large proportion of the men in this study were included in a prior report of the performance of the time-voltage integral in men.27

Electrocardiography
Standard 12-lead ECGs were recorded at 25 mm/s and 1 mV/cm standardization with equipment (Marquette Electronics Inc) whose frequency response characteristics met recommendations of the American Heart Association.28 All ECGs were digitized at 250 or 500 Hz, and all measurements were performed by computer from median complexes with visual verification by a single investigator who had no knowledge of the echocardiographic findings; QRS duration was measured to the nearest millisecond and QRS amplitudes to the nearest microvolt.

Several widely used ECG criteria for the detection of LVH were examined. These include QRS duration; Sokolow-Lyon voltage (sum of the amplitude of the S wave in lead V1 and the R wave in lead V5 or V6)10 ; Cornell voltage (sum of the amplitude of the R wave in lead aVL and the amplitude of the S wave in lead V3)6 ; the sum of QRS voltage in all 12 leads29 ; and the Romhilt-Estes point score,30 a complex ECG criterion for hypertrophy based on a weighted score that incorporates QRS duration, QRS voltages, repolarization changes, and P-wave abnormalities. On the basis of the observation that the product of QRS duration and voltage, as an approximation of the time-voltage area under the QRS, improves ECG identification of LVH,25 26 a voltage-duration product was calculated for Cornell voltage, Sokolow-Lyon voltage, and the 12-lead sum of QRS voltage.

Signal-Averaged Electrocardiography
After careful skin preparation with the patient lying quietly in the supine position, three orthogonal X, Y, and Z leads were acquired (Predictor Signal Averaging ECG, Arrhythmia Research Technology, Inc) with an operator-selected template at a sampling frequency of 2000 Hz. Signal averaging was terminated when the residual root mean square noise in the ST segment was no more than 1 µV and in the majority of cases when the residual noise reached 0.3 µV. Digital filtering was performed on averaged, orthogonal-lead complexes with a standard-frequency (0 to 100 Hz), low-pass filter. Vector magnitudes were calculated for each filtered orthogonal lead as (X2)1/2, (Y2)1/2, and (Z2)1/2, which were then combined into a maximal spatial vector magnitude, (X2+Y2+Z2)1/2. Additional vector magnitudes were calculated separately for the horizontal plane (X2+Z2)1/2, frontal plane (X2+Y2)1/2, and sagittal plane (Y2+Z2)1/2. Vector QRS complex onset and offset were determined by a computer algorithm that determined the first and last points at which voltage exceeded the mean of the baseline noise level plus three times the SD to the nearest 0.5 millisecond. Time-voltage integrals of each vector QRS magnitude were measured over the duration of the QRS to the nearest 0.01 µV·s.27 In addition, the peak amplitude of the maximal spatial vector was measured to the nearest microvolt to replicate previous vector studies.27 31 32

Echocardiography
All subjects underwent standard M-mode and two-dimensional echocardiography performed by a skilled research technician using a commercially available echocardiograph equipped with 2.5- and 3.5-MHz imaging transducers. LV dimensions were obtained from two-dimensionally guided M-mode tracings according to the recommendations of the American Society of Echocardiography.33 Measurements were performed on multiple cardiac cycles by use of a digitizing tablet and were averaged. If M-mode tracings were technically inadequate, LV wall thicknesses and internal dimensions were measured from the two-dimensional study by the method recommended by the American Society of Echocardiography.34 LV mass was calculated according to an anatomically validated formula,35 and LVH was considered present if the LV mass indexed to body surface area exceeded 110 g/m2 in women and 125 g/m2 in men, partition values chosen based on the distribution of values in employed normotensive and hypertensive adults36 and subsequently shown to be related to prognosis.37 38

Data Analysis and Statistical Methods
Mean and SD values are reported for each variable by group and sex. Comparison of mean demographic, echocardiographic, and signal-averaged ECG values between men and women was performed after first adjusting for the presence or absence of LVH by either parametric or Kruskal-Wallis two-way ANOVA, as appropriate, with inclusion of an interaction term between sex and hypertrophy. Sex differences in mean values of signal-averaged ECG variables were also compared by ANCOVA to adjust for baseline differences between men and women in LV mass and body surface area. Comparison of subgroup proportions was performed by {chi}2 analysis with correction for continuity or by a two-tailed Fisher's exact test. Sex differences in the distribution of the horizontal plane vector integral were assessed separately in patients with and without hypertrophy by the Kolmogorov-Smirnov test.39 The strength of the relation between signal-averaged ECG variables and LV mass index was assessed by Pearson correlation coefficients. Differences in correlation coefficients between men and women were compared statistically by two-tailed tests after application of Fisher's Z transformation.

Definitions of test sensitivity and specificity conform to standard use.40 Test specificity of each ECG and signal-averaged ECG method for the identification of LVH was assessed in all 175 subjects without hypertrophy and also separately in the 132 men and 43 women without LVH to produce sex-specific test criteria. The sensitivity of each criterion in men and women was compared with the use of partitions with matched specificity of 98% and a two-tailed Fisher's exact test. Comparisons of test sensitivity of the horizontal plane vector integral with the other signal-averaged and standard ECG criteria among men and separately among women were performed with McNemar's modification of the {chi}2 method for paired proportions. Because the sensitivity and specificity of a test depend on the partition values chosen for test positivity, test accuracy of the horizontal plane vector integral was also compared with ECG and vectorcardiographic criteria with the use of ROC curve analysis. ROC curves compare the sensitivity and specificity of different tests over a wide range of possible partition values and can be used to compare differences between methods independent of empirically derived criteria, with a greater area under a performance curve of a method indicative of superior test performance.41 ROC curves were compared statistically by means of a univariate z score test of the difference between the partial areas under two performance curves at specificities between 80% and 100%,42 which is a clinically relevant range of specificity for the identification of LVH. For all comparisons, a value of P<.05 was required for rejection of the null hypothesis.


*    Results
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*Results
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Relation of Clinical and Echocardiographic Variables to Sex
Sex differences in demographic and echocardiographic variables in relation to the presence or absence of LVH are examined in Table 1Down. Men and women with and without hypertrophy were similar with respect to mean age, but women had significantly lower body surface area, lower septal wall thickness, smaller LV internal dimension during diastole, and lower LV mass. Mean posterior wall thickness and LV mass index were similar in men and women with hypertrophy but were significantly lower in women without LVH. Sex-specific indexed LV mass partitions showed there to be no significant difference in the prevalence of LVH in women and men (38% versus 27%, P=NS).


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Table 1. Clinical and Echocardiographic Characteristics According to Sex and the Presence or Absence of LVH

Relation of Signal-Averaged Electrocardiographic Variables to Sex
Mean values of the maximal spatial vector amplitude; single-lead QRS integrals; maximal spatial vector integral; and vector integrals of the horizontal, sagittal, and frontal planes in men and women according to the presence or absence of LVH are presented in Table 2Down. Women with and without hypertrophy had significantly lower vector amplitudes and time-voltage integrals than did men. Differences in signal-averaged ECG measurements between women and men persisted after baseline sex differences in LV mass and body surface area were adjusted for by ANCOVA.


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Table 2. Signal-Averaged Electrocardiographic Measurements According to Sex and the Presence or Absence of LVH

Because differences of mean values may not necessarily reflect differences in the overall distribution of the same values,39 sex differences in the distribution of signal-averaged ECG criteria were compared separately in the subjects with and without LVH. In both subjects without hypertrophy and patients with LVH there were significant differences between men and women in the frequency distributions of all of the signal-averaged ECG variables (P<.01 to P<.0001). Sex differences in the frequency distribution for the horizontal plane vector integral are shown in Fig 1Down; similar patterns were observed for the other variables, with a greater proportion of women with and without LVH having lower test values than men.



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Figure 1. Line graphs show frequency distribution of horizontal plane vector integral according to sex in subjects without (left) and with (right) LVH.

Univariate linear correlations of signal-averaged ECG variables with indexed LV mass are shown according to sex in Table 3Down. There were highly significant correlations between LV mass index and signal-averaged ECG criteria in both men and women, with no significant differences in correlation between the sexes.


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Table 3. Correlations of Signal-Averaged Electrocardiographic Measurements With Indexed LV Mass According to Sex

Sex and the Electrocardiographic Identification of LVH
The sensitivity and overall performance of the horizontal plane vector integral and the other signal-averaged ECG criteria were highly dependent on whether test specificity was defined in the overall group of subjects without hypertrophy or separately in men and women with normal indexed LV mass values (Tables 4Down and 5Down, Fig 2Down). When specificity was defined in all 175 normal subjects, using single, non–sex-specific partitions with matched specificities of 98%, the sensitivity of the horizontal plane vector integral was significantly lower in women than men (31% versus 71%, P<.001, Table 4Down). In addition, sensitivity was significantly lower in women than men for the lead Z integral, the horizontal and sagittal plane vector integrals, and the maximal spatial vector integral, with trends toward lower sensitivity in women for the maximal spatial vector amplitude, the lead X and lead Y integrals, and the frontal plane vector integral (Table 4Down).


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Table 4. Comparison of Test Sensitivity for the Identification of LVH in Men and Women at Partitions With Matched Specificity of 98% Derived in the Overall Population of 175 Subjects Without Hypertrophy


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Table 5. Comparison of Test Sensitivity for the Identification of LVH in Men and Women Using Sex-Specific Partitions With Matched Specificity of 98%



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Figure 2. Line graphs show ROC curves comparing overall performance of horizontal plane voltage integral (left) and maximal spatial vector integral (right). Overall accuracy of each criterion is greater when test performance is assessed separately in men and women than when defined in the entire population.

The use of sex-specific test partitions significantly improved sensitivity in women, with no loss of sensitivity in men (Table 5Up). When test specificity was defined separately in the 43 women and 132 men without LVH, use of partitions of 75.4 and 99.2 µV·s, respectively, significantly improved the sensitivity of the horizontal plane vector integral in women to 81% (95% confidence interval, 64% to 98%; P<.001), with no change in sensitivity in men (71%; 95% confidence interval, 58% to 84%). Similar increases in sensitivity in women were observed for the lead X and lead Z integrals and the sagittal plane and maximal spatial vector integrals with the use of sex-specific criteria (P<.05 to P<.001), with no significant change in the sensitivity of any of the signal-averaged ECG criteria in men. As a consequence, there were no significant differences in the sensitivity of the signal-averaged ECG criteria between men and women when sex-specific test partitions were used (Table 5Up). Comparison of ROC curves for the horizontal plane and maximal spatial vector integrals further highlights the effect of using sex-specific partitions and defining test performance separately in men and women (Fig 2Up). For both criteria, overall test performance was lower when tested and defined in the overall population than when assessed separately in each sex.

The effect of using sex-specific criteria as opposed to criteria derived in the overall population on the sensitivity of time-voltage area criteria in the total study population is examined in Table 6Down. At a matched specificity of 98%, use of sex-specific partitions significantly improved the sensitivity of the lead Z integral, the horizontal and sagittal plane integrals, and the maximal spatial vector integral compared with partitions derived in the overall population of subjects without hypertrophy, with nonsignificant increases in sensitivity found for the other time-voltage area criteria.


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Table 6. Effect of Sex-Specific Criteria on Test Sensitivity for the Identification of LVH in the Overall Population Using Partitions With Matched Specificity of 98%

Identification of LVH by the Time-Voltage Area of the QRS
Improved performance of the time-voltage area of the QRS in the horizontal plane for the identification of LVH relative to other signal-averaged ECG criteria is examined according to sex in Table 5Up. Among women, at a matched specificity of 98%, the 81% sensitivity of the horizontal plane vector integral was significantly greater than the 46% sensitivity of the maximal spatial vector amplitude, the 35% sensitivity of the lead Y integral, and the 54% sensitivity of the lead Z integral. As a consequence of the poor performance of the lead Y integral, calculation of the time-voltage area of the QRS in the frontal or sagittal plane resulted in lower sensitivities than found for the horizontal plane vector integral. Similarly, incorporation of all three orthogonal leads into a maximal spatial vector QRS complex did not improve the sensitivity of the time-voltage integral for LVH in women (62%, P<.05 versus the horizontal plane integral). Of note, the 81% sensitivity of the horizontal plane vector integral was significantly greater than the 35% to 54% sensitivity of standard ECG criteria in these women (P<.01 to P<.001). Comparison of ROC curves confirmed that the superior performance of the horizontal plane vector integral relative to other ECG and signal-averaged ECG criteria for the identification of LVH in women was independent of partition value selection over the clinically relevant range of specificities from 80% to 100% (Figs 3 through 6DownDownDownDown), with differences generally greatest at high specificities. As previously reported,27 a similar improvement in sensitivity and overall performance was observed in men for the horizontal plane vector integral. Importantly, comparison of ROC curves demonstrated no significant difference in the overall performance of the horizontal plane vector integral or other signal-averaged criteria between men and women. Of note, when sensitivity was examined in the total group of 75 men and women with hypertrophy with the use of sex-specific partitions (Table 6Up), the 75% sensitivity of the horizontal plane vector integral was significantly greater than the 28% to 65% sensitivity of the other vector criteria.



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Figure 3. Line graph shows ROC curves demonstrating superior overall performance of horizontal plane vector integral for identification of LVH in women compared with simple QRS voltage and duration criteria. *P<.01 vs horizontal plane vector integral.



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Figure 4. Line graph shows ROC curves demonstrating superior overall performance of horizontal plane vector integral for identification of LVH in women compared with QRS voltage-duration product criteria and maximal spatial vector amplitude. *P<.05, **P<.01 vs horizontal plane vector integral.



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Figure 5. Line graph shows ROC curves demonstrating superior overall performance of horizontal plane vector integral for identification of LVH in women compared with time-voltage integrals of individual orthogonal vector leads. *P<.05, **P<.01 vs horizontal plane vector integral.



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Figure 6. Line graph shows ROC curves demonstrating superior overall performance of horizontal plane vector integral for identification of LVH in women compared with time-voltage integral of the QRS complex in the frontal plane, sagittal plane, and maximal spatial vector calculated from all three orthogonal leads. *P<.05 vs the horizontal plane vector integral.


*    Discussion
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up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
*Discussion
down arrowReferences
 
These data demonstrate that the use of sex-specific partitions improves the performance of the time-voltage integral of the vector QRS complex for the identification of LVH in women compared with the use of non–sex-specific criteria, with no loss of test accuracy in men. These findings highlight the importance of defining the test performance of ECG criteria separately in men and women rather than in the entire population of men and women together. These results further demonstrate that similar to previous findings in men,27 the use of the horizontal plane vector integral provides increased accuracy of ECG methods for the identification of hypertrophy in women and support the use of the time-voltage area of the QRS for optimal ECG detection of LVH.

Sex Differences in the Electrocardiographic Identification of LVH
Although differences in QRS duration and voltage between men and women have been recognized for some time,14 15 16 17 18 19 most standard ECG criteria for the detection of LVH do not use sex-specific partitions.10 25 26 29 30 ECG methods that do use sex-specific criteria5 6 or otherwise adjust for sex5 6 8 9 have been reported to improve the accuracy of the ECG for the identification of hypertrophy in populations that include both men and women.5 6 8 9 However, sex differences in the test performance of 12-lead ECG criteria have only recently been examined.9 20 21

With respect to standard 12-lead ECG criteria, a recent study from our laboratory21 found that significant differences in ECG measurements between men and women persisted even when baseline sex differences in LV mass and body size were taken into account. Furthermore, the overall accuracy of QRS duration, Cornell voltage, Sokolow-Lyon voltage, the 12-lead sum of voltage, and their respective voltage-duration products was significantly lower in women than men even when sex-specific criteria were used.21 In a study of 923 hypertensive subjects, Schillaci et al20 demonstrated higher sensitivity at matched specificity and greater overall performance by ROC curve analysis for Cornell voltage in men than women. In contrast, Norman et al9 found no significant sex differences in the sensitivity of Cornell voltage criteria at specificities of 85% or greater.

The current study extends these observations to time-voltage integral criteria. When non–sex-specific criteria were used, the test sensitivity of the horizontal plane vector integral was significantly lower in women than men. The use of sex-specific test partitions significantly increased test sensitivity in women, with no loss of sensitivity in men. As a result, in contrast to standard ECG criteria,21 there were no significant differences in the sensitivity or overall performance of the time-voltage integral of the horizontal plane between men and women when sex-specific partitions based on sex differences in normal time-voltage areas were used. The comparable performance of sex-specific, signal-averaged ECG criteria in women and men in the current study was not a consequence of sex differences in the severity of hypertrophy or in the relative severity of indexed LV mass in the subjects without hypertrophy: The mean ratios of LV mass index to the sex-specific partitions for LVH (125 g/m2 in men and 110 g/m2 in women) were nearly identical in the men and women with hypertrophy (1.28±0.27 versus 1.38±0.29, P=NS) and those without hypertrophy (0.66±0.13 versus 0.63±0.13, P=NS). However, in contrast to our findings for 12-lead ECG criteria,21 the time-voltage integrals had equally close linear relations with indexed LV mass in women and men, a possible explanation for the similar performance of sex-specific partitions in this population.

Time-Voltage Area of the QRS and LVH
Previous observations that the time-voltage integral of the vectorcardiographic QRS complex improves ECG correlation with LV mass31 32 suggest that increases in LV mass may be paralleled by subtle increases in both QRS voltage and duration that together produce a proportionally greater increase in the area under the QRS complex than in either QRS duration or maximal amplitude alone. Indeed, the use of the simple product of QRS duration and voltages, as an approximation of the area under the QRS, has been found to improve the accuracy of the ECG for the identification of LVH relative to criteria based on QRS voltages or duration alone or in combinations of linear weighted sums.25 26 The present study extends our previous observations in men27 by showing that the time-voltage integral of the QRS more accurately reflects the presence of LVH in women than either standard 12-lead ECG criteria or simple voltage-duration products that crudely approximate the area under the QRS.25 26

Implications and Limitations
The increased morbidity and mortality associated with echocardiographically detected LVH38 43 44 45 46 make its detection by simple, accurate, and cost-effective screening methods a clinical priority.11 As a consequence, improvement in the well-recognized low sensitivity of the widely used and inexpensive ECG is of great importance. The current findings suggest that analysis of the ECG time-voltage integral using separate sex-specific partitions in men and women improves the diagnostic ability of the ECG to identify LVH. Although the present study used specialized signal-averaged ECG equipment, some current computerized 12-lead ECG systems can make measurements from the standard 12 leads that should allow synthesis or close approximation of the horizontal plane QRS vector, facilitating both large-scale testing and ultimate clinical application of this approach.

Our patients with LVH had underlying valvular regurgitation, and findings may vary in populations with concentric forms of hypertrophy, including those composed purely of patients with hypertension. Validation or adjustment of these partition values therefore is required before these methods are applied to hypertensive men and women. Further validation of this approach also will be necessary in larger and more heterogeneous groups of normal subjects and in patients with LVH who have bundle branch blocks. However, the nearly identical sensitivities and specificities of the simple voltage-duration products in patients with and without bundle branch blocks25 suggest that the time-voltage integral may also be useful in these patients. Furthermore, analysis of characteristics of the relation between the QRS time-voltage integral and LV mass in black and white subjects may clarify the basis for the apparently lower specificity of standard ECG criteria for LVH in black subjects.47


*    Selected Abbreviations and Acronyms
 
ECG = electrocardiogram
LV = left ventricular
LVH = left ventricular hypertrophy
ROC = receiver operating characteristic

Received March 31, 1995; first decision August 2, 1995; accepted October 5, 1995.


*    References
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
up arrowDiscussion
*References
 
1. Reichek N, Devereux RB. Left ventricular hypertrophy: relation of anatomic, echocardiographic and electrocardiographic findings. Circulation. 1981;63:1391-1398. [Abstract/Free Full Text]

2. Murphy ML, Thenabadu PN, deSoyza N, Meade J, Doherty JE, Baker BJ. Sensitivity of electrocardiographic criteria for left ventricular hypertrophy according to type of heart disease. Am J Cardiol. 1985;55:545-549. [Medline] [Order article via Infotrieve]

3. Devereux RB, Casale PN, Eisenberg RR, Miller DH, Kligfield P. Electrocardiographic detection of left ventricular hypertrophy using echocardiographic determination of left ventricular mass as the reference standard: comparison of standard criteria, computer diagnosis and physician interpretation. J Am Coll Cardiol. 1983;2:82-87.

4. Levy D, Labib SB, Anderson KM, Christiansen JC, Kannel WB, Castelli WP. Determinants of sensitivity and specificity of electrocardiographic criteria for left ventricular hypertrophy. Circulation. 1990;81:815-820. [Abstract/Free Full Text]

5. Casale PN, Devereux RB, Kligfield P, Eisenberg RR, Miller DH, Chaudhary BS, Phillips MC. Electrocardiographic detection of left ventricular hypertrophy: development and prospective validation of improved criteria. J Am Coll Cardiol. 1985;6:572-580. [Abstract]

6. Casale PN, Devereux RB, Alonso DR, Campo E, Kligfield P. Improved sex-specific criteria of left ventricular hypertrophy for clinical and computer interpretation of electrocardiograms: validation with autopsy findings. Circulation. 1987;75:565-572. [Abstract/Free Full Text]

7. Romhilt DW, Bove KE, Norris RJ, Cayners E, Conradi S, Rowlands DT, Scott RC. A critical appraisal of the electrocardiographic criteria for the diagnosis of left ventricular hypertrophy. Circulation. 1969;40:185-195. [Abstract/Free Full Text]

8. Rautaharju PM, La Croix AZ, Savage DD, Haynes SG, Madans JH, Wolf HK, Hadden W, Keller J, Cornoni-Huntley J. Electrocardiographic estimate of left ventricular mass versus radiographic cardiac size and the risk of cardiovascular disease mortality in the epidemiologic follow-up of the first National Health and Nutrition Examination Survey. Am J Cardiol. 1988;62:59-66. [Medline] [Order article via Infotrieve]

9. Norman JE, Levy D, Campbell G, Bailey JJ. Improved detection of echocardiographic left ventricular hypertrophy using a new electrocardiographic algorithm. J Am Coll Cardiol. 1993;21:1680-1686. [Abstract]

10. Sokolow M, Lyon TP. The ventricular complex in left ventricular hypertrophy as obtained by unipolar precordial and limb leads. Am Heart J. 1949;37:161-186. [Medline] [Order article via Infotrieve]

11. Devereux RB, Casale PN, Wallerson DC, Kligfield P, Hammond IW, Liebson PR, Campo E, Alonso DR, Laragh JH. Cost-effectiveness of echocardiography and electrocardiography for detection of left ventricular hypertrophy in patients with systemic hypertension. Hypertension. 1987;9(suppl II):II-69-II-76.

12. Timmis GC, Bakalyar DM, Gordon S. Accuracy of computerized electrocardiographic identification of left ventricular hypertrophy as determined by echocardiographic measurements of left ventricular mass: evaluation of a widely used computer program. J Am Coll Cardiol. 1986;8:301-309. [Abstract]

13. Savage DD, Garrison RJ, Kannel WB, Levy D, Anderson SJ, Stokes J III, Feinleib M, Castelli WP. The spectrum of left ventricular hypertrophy in a general population sample: The Framingham Study. Circulation. 1987;75(suppl I):I-26-I-33.

14. Levy D, Bailey JJ, Garrison RJ, Horton MR, Bak SM, Lyons D, Castelli WP. Electrocardiographic changes with advancing age: a cross-sectional study of the association of age with QRS axis, duration and voltage. J Electrocardiol. 1987;20(suppl):44-47.

15. Chen CY, Chiang BN, Macfarlane PW. Normal limits of the electrocardiogram in a Chinese population. J Electrocardiol. 1989;22:1-15.

16. Simonson E, Blackburn H, Puchner TC, Eisenberg P, Ribeiro F, Meja M. Sex differences in the electrocardiogram. Circulation. 1960;22:598-601. [Abstract/Free Full Text]

17. Nemati M, Doyle JT, McCaughan D, Dunn R, Pipberger HV. The orthogonal electrocardiogram in normal women: implications of sex differences in electrocardiography. Am Heart J. 1978;95:12-21. [Medline] [Order article via Infotrieve]

18. Ostrander LD, Brandt RL, Kjelsberg MO, Epstein FH. Electrocardiographic findings among the adult population of a total natural community, Tecumseh, Michigan. Circulation. 1965;31:888-898. [Abstract/Free Full Text]

19. Sotobata I, Richman H, Simonson E. Sex differences in the vectorcardiogram. Circulation. 1968;37:438-448. [Abstract/Free Full Text]

20. Schillaci G, Verdecchia P, Borgioni C, Ciucci A, Guerrieri M, Zampi I, Battistelli C, Bartoccini C, Porcellati C. Improved electrocardiographic diagnosis of left ventricular hypertrophy. Am J Cardiol. 1994;74:714-719. [Medline] [Order article via Infotrieve]

21. Okin PM, Roman MJ, Devereux RB, Kligfield P. Gender differences and the electrocardiogram in left ventricular hypertrophy. Hypertension. 1995;25:242-249. [Abstract/Free Full Text]

22. Holt JH Jr, Barnard ACL, Lynn MS. A study of the human heart as a multiple dipole electrical source, II: diagnosis and quantitation of left ventricular hypertrophy. Circulation. 1969;40:697-710. [Abstract/Free Full Text]

23. Dunn RA, Pipberger HV, Holt JH Jr, Barnard ACL, Pipberger HA. Performance of conventional orthogonal and multiple-dipole electrocardiograms in estimating left ventricular muscle mass. Circulation. 1979;60:1350-1353. [Abstract/Free Full Text]

24. Vacek JL, Wilson DB, Botteron GW, Dobbins J. Techniques for the determination of left ventricular mass by signal-averaged electrocardiography. Am Heart J. 1990;120:958-963. [Medline] [Order article via Infotrieve]

25. Molloy TJ, Okin PM, Devereux RB, Kligfield P. Electrocardiographic detection of left ventricular hypertrophy by the simple QRS voltage-duration product. J Am Coll Cardiol. 1992;20:1180-1186. [Abstract]

26. Okin PM, Roman MJ, Devereux RB, Kligfield P. Electrocardiographic identification of increased left ventricular mass by simple voltage-duration products. J Am Coll Cardiol. 1995;25:417-423. [Abstract]

27. Okin PM, Roman MJ, Devereux RB, Borer JS, Kligfield P. Electrocardiographic diagnosis of left ventricular hypertrophy by the time-voltage integral of the QRS. J Am Coll Cardiol. 1994;23:133-140. [Abstract]

28. Pipberger HV, Arzbaecher RC, Berson AS, Briller SA, Brody DA, Flowers NC, Geselowitz DB, Lepeschkin E, Oliver GC, Schmitt OH. Recommendations for standardization of leads and specifications for instruments in electrocardiography and vectorcardiography. Report of the Committee on Electrocardiography, American Heart Association. Circulation. 1967;35:583-602. [Free Full Text]

29. Siegel RJ, Roberts WC. Electrocardiographic observations in severe aortic valve stenosis: correlative necropsy study to clinical, hemodynamic, and ECG variables demonstrating relation of 12-lead QRS amplitude to peak systolic transaortic pressure gradient. Am Heart J. 1982;103:210-221. [Medline] [Order article via Infotrieve]

30. Romhilt DW, Estes EH. A point score system for the ECG diagnosis of left ventricular hypertrophy. Am Heart J. 1968;75:752-758. [Medline] [Order article via Infotrieve]

31. Hugenholtz PG, Ellison RC, Miettinen OS. Spatial voltages in the assessment of left ventricular hypertrophy (Frank system). J Electrocardiol. 1968;1:77-90. [Medline] [Order article via Infotrieve]

32. Vine DL, Finchum RN, Dodge HT, Bancroft WH Jr, Hurst DC. Comparison of the vectorcardiogram with the electrocardiogram in the prediction of left ventricular size. Circulation. 1971;43:547-558. [Abstract/Free Full Text]

33. Sahn DJ, DeMaria A, Kisslo J, Weyman A. Recommendations regarding quantitation in M-mode echocardiography: results of a survey of echocardiographic measurements. Circulation. 1978;58:1072-1083. [Abstract/Free Full Text]

34. Schiller NB, Shah PM, Crawford M, DeMaria A, Devereux R, Feigenbaum H, Gutgesell H, Reichek N, Sahn D, Schnittger I. Recommendations for quantitation of the left ventricle by two-dimensional echocardiography. J Am Soc Echocardiogr. 1989;2:358-367.[Medline] [Order article via Infotrieve]

35. Devereux RB, Alonso DR, Lutas EM, Gottlieb GJ, Campo E, Sachs I, Reichek N. Echocardiographic evaluation of left ventricular hypertrophy: comparison to necropsy measurements. Am J Cardiol. 1986;57:450-458. [Medline] [Order article via Infotrieve]

36. Hammond IW, Devereux RB, Alderman MH, Lutas EM, Spitzer MC, Crowley JS, Laragh JH. The prevalence and correlates of echocardiographic left ventricular hypertrophy among employed patients with uncomplicated hypertension. J Am Coll Cardiol. 1986;7:639-650. [Abstract]

37. Casale PN, Devereux RB, Milner M, Zullo G, Harshfield GA, Pickering TG, Laragh JH. Value of echocardiographic measurement of left ventricular mass in predicting cardiovascular morbid events in hypertensive men. Ann Intern Med. 1986;105:173-178.

38. Koren MJ, Devereux RB, Casale PN, Savage DD, Laragh JH. Relation of left ventricular mass and geometry to morbidity and mortality in men and women with uncomplicated essential hypertension. Ann Intern Med. 1991;114:345-352.

39. Smirnov NV. TableUp for estimating the goodness of fit of empirical distributions. Ann Math Stat.. 1948;19:270-281.

40. Vecchio TJ. Predictive value of a single diagnostic test in unselected populations. N Engl J Med. 1966;274:1171-1173.

41. Metz CE, Wang P, Kronman HB. A new approach for testing the significance of differences between ROC curves measured from correlated data. In: Deconick F, ed. Information Processing in Medical Imaging. The Hague, Netherlands: Martinus-Nijhoff; 1984:432-445.

42. Wieand S, Gail MH, James BR, James KL. A family of nonparametric statistics for comparing diagnostic markers with paired or unpaired data. Biometrika. 1989;76:585-589. [Abstract/Free Full Text]

43. Levy D, Garrison RJ, Savage DD, Kannel WB, Castelli WP. Left ventricular mass and incidence of coronary heart disease in an elderly cohort. Ann Intern Med. 1989;110:101-107.

44. Levy D, Garrison RJ, Savage DD, Kannel WB, Castelli WP. Prognostic implications of echocardiographically determined left ventricular mass in the Framingham Heart Study. N Engl J Med. 1990;322:1561-1566. [Abstract]

45. Casale PN, Devereux RB, Milner M, Zullo G, Harshfield GA, Pickering TG, Laragh JH. Value of echocardiographic measurement of left ventricular mass in predicting cardiovascular morbid events in hypertensive men. Ann Intern Med. 1986;105:173-178.

46. Ghali JK, Liao Y, Simmons B, Castaner A, Cao G, Cooper RS. The prognostic role of left ventricular hypertrophy in patients with or without coronary artery disease. Ann Intern Med. 1992;117:831-836.

47. Lee DK, Marantz PR, Devereux RB, Kligfield P, Alderman MH. Left ventricular hypertrophy in black and white hypertensives: standard electrocardiographic criteria overestimate racial differences in prevalence. JAMA. 1992;267:3294-3299.[Abstract/Free Full Text]




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