Acessibilidade / Reportar erro

Electrocardiography in the diagnosis of ventricular hypertrophy in patients with chronic renal disease

Abstracts

BACKGROUND: Left ventricular hypertrophy (LVH) is an independent predictor of cardiovascular risk, and its characterization and prevalence in chronic renal disease (CRD) should be further studied. OBJECTIVE: To establish the diagnosis of LVH in patients with stage-5 CRD using six different electrocardiographic criteria, and to correlate them with left ventricular mass index (LVMI) as obtained by echocardiography. METHODS: Cross-sectional study including 100 patients (58 men and 42 women, mean age 46.2 ± 14.0 years) with CRD of all causes undergoing hemodialysis (HD) for at least six months. Electrocardiography (ECG) and echocardiography were performed in all patients, always up to one hour after the end of the HD sessions. RESULTS: LVH was detected in 83 patients (83%), of whom 56 (67.4%) had the concentric pattern and 27 (32.6%) the eccentric pattern of LVH. Diagnostic sensitivity, specificity and accuracy of all the electrocardiographic methods studied were higher than 50%. Using Pearson's linear correlation for LVMI, only the Sokolow-Lyon voltage criterion did not show a > 0.50 coefficient. Calculation of the likelihood ratio, in turn, showed that ECG has a discriminatory power for the diagnosis of LVH in the population studied, with emphasis on the Cornell-product and Romhilt-Estes criteria. No correlation was observed between LVMI and QTc and QTc dispersion. CONCLUSION: ECG is a useful, efficient, and highly reproducible method for the diagnosis of LVH in HD patients. In this population, the Cornell-product proved to be the most reliable criterion for the detection of LVH.

Kidney diseases; echocardiography; electrocardiography; renal dialysis; hypertrophy, left ventricular


FUNDAMENTO: A hipertrofia ventricular esquerda (HVE) é um fator preditor independente de risco cardiovascular e sua caracterização e prevalência na doença renal crônica (DRC) carecem de melhor estudo. OBJETIVO: Estabelecer o diagnóstico de HVE em pacientes com DRC em estágio 5 por seis diferentes critérios eletrocardiográficos, correlacionando-os com o índice de massa do ventrículo esquerdo (IMVE) obtido pelo ecocardiograma. MÉTODOS: Estudo transversal que incluiu 100 pacientes (58 homens e 42 mulheres, idade de 46,2 ± 14,0 anos) com DRC de todas as etiologias, há pelo menos seis meses em hemodiálise (HD). Foram obtidos eletrocardiograma (ECG) e ecocardiograma dos pacientes, sempre até uma hora após o término das sessões de HD. RESULTADOS: A HVE foi detectada em 83 pacientes (83%), dos quais 56 (67,4%) apresentavam o padrão concêntrico e 27 (32,6%) o padrão excêntrico de HVE. Todos os métodos eletrocardiográficos estudados tiveram sensibilidade, especificidade e acurácia diagnósticas acima de 50%. Pela correlação linear de Pearson com o IMVE, apenas o critério de Sokolow-Lyon voltagem não apresentou coeficiente > 0,50. Já o cálculo da razão de verossimilhança mostrou que o ECG possui poder discriminatório para diagnóstico de HVE na população estudada, com ênfase para os critérios de Cornell produto e Romhilt-Estes. Não houve correlação entre IMVE com o QTc e sua dispersão. CONCLUSÃO: O ECG é um método útil, eficaz e de alta reprodutibilidade no diagnóstico de HVE dos pacientes em HD. Nessa população, o critério de Cornell produto mostrou-se o mais fidedigno para a detecção de HVE.

Nefropatias; ecocardiografia; eletrocardiografia; hemodiálise; hipertrofia ventricular esquerda


FUNDAMENTO: La hipertrofia ventricular izquierda (HVI) es un factor predictor independiente de riesgo cardiovascular y su caracterización y prevalencia en la enfermedad renal crónica (ERC) carecen de mejor estudio. OBJETIVO: Establecer el diagnóstico de HVI en pacientes con ERC en estadio 5 por seis diferentes criterios electrocardiográficos, correlacionándolos al índice de masa del ventrículo izquierdo (IMVI) que se obtuvo mediante el ecocardiograma. MÉTODOS: Estudio transversal que incluyó a 100 pacientes (58 varones y 42 mujeres, edad de 46,2 ± 14,0 años) con ERC de todas las etiologías, desde hace al menos 6 meses en hemodiálisis (HD). Se obtuvieron electrocardiograma (ECG) y ecocardiograma de los pacientes, siempre hasta una hora tras el término de las sesiones de HD. RESULTADOS: La HVI se detectó en 83 pacientes (83%), de los que 56 (67,4%) presentaban el estándar concéntrico y 27 (32,6%) el estándar excéntrico de HVI. Todos los métodos electrocardiográficos estudiados tuvieron sensibilidad, especificidad y exactitud diagnósticas superiores al 50%. Mediante la correlación lineal de Pearson con el IMVI, solamente el criterio de Sokolow-Lyon voltaje no presentó coeficiente > 0,50. Sin embargo, el cálculo de la razón de verosimilitud evidenció que el ECG tiene poder discriminatorio para diagnóstico de HVI en la población estudiada, con énfasis para los criterios de Producto de Cornell y Romhilt-Estes. No hubo correlación entre IMVI con el QTc y su dispersión. CONCLUSIÓN: El ECG es un método útil, eficaz y de alta reproductibilidad en el diagnóstico de HVI de los pacientes en HD. En esa población, el criterio de Producto de Cornell fue más fiable para la detección de HVI.

Nefropatías; ecocardiografía; electrocardiografía; hemodiálisis; hipertrofia ventricular izquierda


ORIGINAL ARTICLE

IUniversidade Estadual de Ciências da Saúde de Alagoas-UNCISAL, Maceió, AL

IIUniversidade Federal de São Paulo-Escola Paulista de Medicina-UNIFESP-EPM, São Paulo, SP, Brasil

Mailing Address

SUMMARY

BACKGROUND: Left ventricular hypertrophy (LVH) is an independent predictor of cardiovascular risk, and its characterization and prevalence in chronic renal disease (CRD) should be further studied.

OBJECTIVE: To establish the diagnosis of LVH in patients with stage-5 CRD using six different electrocardiographic criteria, and to correlate them with left ventricular mass index (LVMI) as obtained by echocardiography.

METHODS: Cross-sectional study including 100 patients (58 men and 42 women, mean age 46.2 ± 14.0 years) with CRD of all causes undergoing hemodialysis (HD) for at least six months. Electrocardiography (ECG) and echocardiography were performed in all patients, always up to one hour after the end of the HD sessions.

RESULTS: LVH was detected in 83 patients (83%), of whom 56 (67.4%) had the concentric pattern and 27 (32.6%) the eccentric pattern of LVH. Diagnostic sensitivity, specificity and accuracy of all the electrocardiographic methods studied were higher than 50%. Using Pearson's linear correlation for LVMI, only the Sokolow-Lyon voltage criterion did not show a > 0.50 coefficient. Calculation of the likelihood ratio, in turn, showed that ECG has a discriminatory power for the diagnosis of LVH in the population studied, with emphasis on the Cornell-product and Romhilt-Estes criteria. No correlation was observed between LVMI and QTc and QTc dispersion.

CONCLUSION: ECG is a useful, efficient, and highly reproducible method for the diagnosis of LVH in HD patients. In this population, the Cornell-product proved to be the most reliable criterion for the detection of LVH.

Key Words: Kidney Diseases; Echocardiography; Electrocardiography; Renal Dialysis; Hypertrophy, Left Ventricular.

Introduction

LVH is an independent predictor of morbidity and mortality in the general population when diagnosed by either ECG or echocardiography1,2.

Since the pioneering observations of the Framingham Heart Study, several epidemiological studies pointed out LVH as one of the most important risk factors for angina pectoris, myocardial infarction, heart failure, stroke and sudden death3.

Little information is available on the population of patients with different stages of CRD. The PREVEND study used the Cornell product electrocardiographic criterion to analyze the presence of LVH in individuals with renal dysfunction, defined as a glomerular filtration rate (GFR) < 60mL/min/1.73 m2 or microalbuminuria, and found a prevalence of 5.3%4. Studies using echocardiography, in turn, estimate the prevalence of LVH in patients with stage-5 CRD, that is, those with a GFR < 15 mL/min/1.73m2 or undergoing renal replacement therapy, at between 40% and 74%5.

LVH can be detected by ECG, chest radiography, echocardiography and magnetic resonance imaging. However, in the clinical practice, ECG and echocardiography are the most frequently used methods, not only for being more readily available, but mainly for the prognostic relationship that clearly predicts an increased cardiovascular risk when LVH is observed3.

The main objective of this study was to establish the diagnosis of LVH in stage-5 CRD patients using six different electrocardiographic criteria, and to correlate them with LVMI as diagnosed by echocardiography.

Methods

Patients

From June 2006 to February 2007, 133 patients with stage-5 CRD of any cause, who were clinically stable and undergoing HD for at least six months were evaluated in Fundação Hospital da Agroindústria do Açúcar e do Álcool de Alagoas (Table 1). The protocol was approved by the Human Research Ethics Committee of Universidade Estadual de Ciências da Saúde de Alagoas and a written informed consent was obtained from all patients, according to the principles of the Declaration of Helsinki. The exclusion criteria were: history of chronic or acute coronary syndrome (regardless of duration); heart valve disease; cardiomyopathy of any cause as diagnosed by transthoracic echocardiography; pericardial effusion; patients using pacemaker; right or left bundle branch block; ventricular pre-excitation syndromes; and any rhythm other than sinus rhythm, that is, any factor that could potentially interfere with the electrocardiographic analysis of LVH. Of the 133 patients screened, 33 were excluded. All the 100 patients selected were interviewed. On that occasion, casual blood pressure was taken, and ECG and transthoracic echocardiography were performed, always up to one hour after the end of the HD sessions.

Electrocardiography

Twelve-lead resting ECG was performed with the patient in the supine position; the recording speed was 25 mm/s, and calibration was standardized at 1 mV/cm (Dixtal equipment, model EP3®, Brazil). The electrocardiographic tracings were analyzed by one single observer, who was an experienced cardiologist with no connection with the performance of the echocardiograms. All measurements were taken manually, and noted down as follows: amplitude (mm) of P wave, R waves in aVL, S in V3, S in V1, R in V5 or V6, and larger R and S waves in the horizontal plane; duration (ms) of P wave, of QRS complex, of ventricular activation, of QT interval corrected by Bazzet's formula (mean of the 12 leads); and of QT dispersion (QT maximum - QT minimum). Six electrocardiographic criteria for the diagnosis of LVH were also evaluated: 1) Sokolow-Lyon voltage (SV1 + RV5 or V6> 35 mm)6; 2) Sokolow-Lyon product (SV1 + RV5 or V6 X QRS duration > 3000 mm.ms for women and > 4000 mm.ms for men)7; 3) Cornell voltage (RaVL + SV3> 20 mm for women and > 28 mm for men)8; 4) Cornell product (RaVL + SV3 X QRS duration > 2440 mm.ms, add 6 mm for women)9; 5) Romhilt-Estes point score: larger R or S amplitude > 30 mm in the horizontal plane or > 20 mm in the frontal plane, or strain pattern in V5 or V6 (if on digitalis, it is worth only one point) or left atrial enlargement according to Morris index (three points); ÂQRS electrical axis higher than minus 30 degrees (two points); QRS duration > 90 ms in V5 or V6 or ventricular activation time > 50 ms in V5 or V6 (one point). Using this score, LVH is diagnosed when the sum of points is > 510; 6) Perugia score: LVH is diagnosed by the presence of one or more of the following findings - Cornell criterion, considering the limit of > 20 mm for women and > 24 mm for men, Romhilt-Estes score and strain pattern11. The study of reproducibility of the method was carried out by the same observer at two different timepoints, so that the first reading could not be recalled and identified, and by an independent observer who was a PhD Cardiologist with a vast experience in electrocardiography; this study was based on the analysis of 30 randomly chosen tracings for the assessment of the Sokolow-Lyon voltage, Romhilt-Estes and QT interval variables.

Echocardiography

The studies were performed by two echocardiographers accredited by the Department of Echocardiography of the Brazilian Society of Cardiology strictly following the standards established by the Guideline for Indications and Use of Echocardiography in the Clinical Practice12. We should underscore that none of these two observers had any relation with the analysis of the ECG tracings. The patients were placed in the left lateral position and a Caris® ultrasound scanner (Esaote-Biomédica, Italy) equipped with a 2.5 MHz transducer was used. The usual views were used to obtain a full study in the M, two-dimensional, and pulsed Doppler modes, with simultaneous continuous ECG recording. According to the recommendations of the American Society of Echocardiography / European Association of Echocardiography13, interventricular septal (IVSD) thickness and left ventricular posterior wall (LVPWD) thickness were obtained at diastole, and LV mass, in grams, was calculated using the formula: LV mass = 0.8 X {1.04 [(IVSD + EDLVD + LVPWD)3 - (EDLVD)3]} + 0.6 g14, where IVSD is the diastolic interventricular septal thickness, EDLVD is the end-diastolic LV diameter, and LVPWD is the diastolic left ventricular posterior wall. LV mass was corrected for the body surface area. Echocardiographic diagnosis of LVH was made when LVMI was > 88 g/m2 for women and > 102 g/m2 for men13. The relative LV wall thickness (RWT) was also calculated using the formula RWT = 2 X LVPWD/EDLVD, where LVPWD is the diastolic LV posterior wall and EDLVD is the end-diastolic LV diameter.

From the calculation of RWT, two geometric patterns of LVH could be established: a concentric pattern, when RWT was > 0.42 and an eccentric pattern, when RWT < 0.4213. The LV systolic function was evaluated by means of the LV fractional shortening and LV ejection fraction as obtained using the Teicholz method. The analysis of reproducibility of the method was carried out in 30 randomly chosen participants who had their LV mass calculated using Devereux's formula14. The same echocardiographic study was evaluated by one observer at two different timepoints, like in the electrocardiographic analysis. The study was then read by another observer who was blind to the readings of the first observer.

Anthropometric measurements

Weight and height were measured, always up to one hour after the end of the dialysis sessions. Body surface area, in m2, was calculated according to Mosteller's equation (0.20247 X weight0.425 X height0.725)15. Body mass index was calculated by dividing weight (Kg) by the square height (m).

Statistical analysis

Continuous variables were expressed as means and standard deviation and categorical variables as percentages. Association between LVMI and the other variables of interest was made using the Pearson's correlation coefficient. For this study, only Pearson's coefficient > 0.50 was considered significant. The ROC curve was used to analyze the sensitivity, specificity and accuracy of the six electrocardiographic criteria studied, except for Perugia score (categorical variable). Fisher's exact test was used for the comparison of sensitivities of the electrocardiographic methods studied, according to the geometric patterns of LVH. Student's t test was used to compare the LVMI between men and women. The likelihood ratio for the electrocardiographic criteria was also calculated. The assessment of reproducibility of the two methods used was made by three independent observers in different occasions, using Lin's concordance coefficient. In all comparisons, 95% confidence intervals and p < 0.05 were considered statistically significant.

Results

Of the 100 patients who completed the study, 58 were males (58%) and 42 were females (42%), with mean age of 46.2 ± 14.0 years (ranging from 18 to 78 years) and mean HD time of 50.7 ± 46.5 months (ranging from 6 to 225 months, median of 33.5 months). Demographics and clinical characteristics of the patients are shown in Table 2, and electrocardiographic findings in Table 3.

The prevalence of LVH on echocardiography was 83%; 56 (67.4%) and 27 (32.6%) of these patients had concentric and eccentric LVH, respectively. The mean LVMI in the population studied was 154.9 ± 57.3 g/m2. In relation to gender, the mean LVMI was 159.9 ± 57.0 g/m2 in men and 148.0 ± 57.6 g/m2 in women (p = 0.306). Values of the echocardiographic variables studied are shown in Table 4.

Studies of sensitivity, specificity and accuracy of the six electrocardiographic criteria assessed in the general population are shown in Table 5. Sensitivities, specificities and p values, according to the geometric patterns of LVH in the general population (concentric LVH: LVMI = 178.2 ± 54.8 g/m2 and eccentric LVH: LVMI = 152.0 ± 38.2 g/m2 - p = 0.028) are shown in Table 6. Among the 17 (17%) patients who did not present LVH, the mean LVMI was 82.9 ± 13.6 g/m2.

The areas under the ROC curves for the Sokolow-Lyon voltage, Sokolow-Lyon product, Cornell voltage, Cornell product and Romhilt-Estes continuous variables were 0.85, 0.85, 0.85, 0.83 and 0.80, respectively.

Using Pearson's correlation for continuous variables, we observed a > 0.50 coefficient between LVMI and the following variables in the general population: Sokolow-Lyon product, Cornell voltage, Cornell product, and Romhilt-Estes. When applied to gender, Pearson's correlation was > 0.50 between LVMI and all the electrocardiographic criteria assessed and QTc in the male population. Among women, the correlation was > 0.50 only between LVMI and the Cornell voltage and Cornell product criteria. Since Perugia score is a categorical variable, Pearson's correlation cannot be used with LVMI (Table 7).

As can be observed in Table 8, calculation of the likelihood ratio demonstrates that all electrocardiographic methods assessed show the discriminatory power of ECG in the diagnosis of LVH in the population studied, with special emphasis to the Cornell product and Romhilt-Estes criteria.

In relation to the analysis of reproducibility, the intraobserver concordance level for the Sokolow-Lyon voltage, Romhilt-Estes and QT interval electrocardiographic variables was 0.99, 0.97, and 0.96, respectively. The interobserver concordance for the same variables was 0.99, 0.79, and 0.94, respectively. For the LV mass variable, as obtained by echocardiography, the intra and interobserver concordance levels were 0.97 and 0.98, respectively.

Discussion

LVH usually leads to increased amplitude of the QRS complex, with a subsequent leftward and posterior shift of the electrical forces, thus resulting in deep S waves in right precordial leads. On the other hand, the greater cross-sectional ventricular activation caused by LVH results in increased QRS duration and intrinsecoid deflection (interval between the beginning of the inscription and maximum point of the QRS complex in left precordial leads)3,17.

ECG is undoubtedly a less sensitive test than transthoracic echocardiography for the diagnosis of LVH. However, when LVH is detected by ECG, the patient's prognosis is very poor, with proved increased cardiovascular morbidity and mortality. As previously described, there is a higher risk of angina pectoris, myocardial infarction, stroke, heart failure and sudden death17.

The Framingham study, with a 30-year follow-up, clearly demonstrated that in the presence of electrocardiographic LVH, there was an increased risk for coronary events by 3.0 to 5.8 times; for stroke by 3.2 to 7.0 times; and for heart failure by up to 17.5 times. Particularly in relation to heart failure, the risk of developing this condition was higher in the presence of an ECG consistent with LVH than in the presence of enlarged heart as observed on chest radiography18.

LVH manifestations on ECG related to strain-pattern ventricular repolarization changes (ST-segment depression with upward convexity associated with asymmetrical T-wave inversion in left limb and precordial leads) seem to indicate both the presence of LVH and myocardial ischemia. According to the Framingham study, this pattern increases the risk of cardiovascular complications by 5.8 times in men and 2.4 times in women17. In the LIFE study, the ECG strain pattern observed in 971 out of 8854 patients evaluated over a period of five years increased the cardiovascular mortality by 2.2 times, the risk of myocardial infarction by 2.1 times, and the risk of stroke by 1.7 times19.

ECG is a low-cost, highly reproducible test, and despite the known limitations regarding its diagnostic sensitivity, it has been widely used in population-based studies assessing the prevalence of LVH, and its regression or persistence with pharmacological intervention, especially in hypertensive patients20-22.

On the other hand, we cannot disregard that the majority of the electrocardiographic criteria used for the detection of LVH was validated in populations with a high prevalence of cardiovascular diseases. The obvious consequence is a poor performance of these criteria when applied to samples with a low prevalence of these diseases.

We should point out that no overwhelming predominance of one gender over the other was observed in the study sample, which was comprised, on average, of young individuals (age from 46.2 ± 14.0 years) who had normal BMI (mean of 22.7 ± 3.7 Kg/m2), and only four were smokers (4%). This observation is important to contextualize the study population according to the four factors that most interfere with the electrocardiographic diagnosis of LVH: gender (higher sensitivity in men); age (sensitivity increases among the oldest); weight (lower sensitivity in obese individuals); and smoking (lower sensitivity in smokers)23.

Alfakih et al24 conducted a study in 288 hypertensive patients and assessed four of the electrocardiographic methods used in the present study. They found values of sensitivity and specificity for the Sokolow-Lyon voltage, Sokolow-Lyon product, Cornell voltage and Cornell product criteria of 28.7% and 92.1%; 36.8% and 91.4%; 21.3% and 94.8%; 31.1% and 91.4%, respectively. The better performance of the six electrocardiographic criteria assessed in the present study, all with sensitivity and accuracy higher than 50%, and specificity ranging from 78.5% to 100%, may be attributed to the clinical profile of the study sample, which was comprised of severely ill patients whose LVMI was very high.

Verdecchia et al22 studied a new electrocardiographic method for the diagnosis of LVH, the Perugia score from the PIUMA study, and found a 17.8% prevalence of LVH. Using the Cornell voltage, Romhilt-Estes and Sokolow-Lyon voltage criteria, they found a prevalence of LVH of 9.1%, 5.2% and 13%, respectively.

In our study, in turn, the performance of the Perugia score, used for the first time in CRD patients, was excellent, with sensitivity of 72.3%, specificity of 82.4%, and accuracy of 74%, which can also be explained by the high prevalence of LVH.

Pearson's correlation demonstrated that only the Sokolow-Lyon voltage criterion did not show a coefficient > 0.50 in the general population. Among women, only the Cornell voltage and Cornell product showed coefficients > 0.50. This may have resulted from the lower LVMI and lower predominance of the concentric pattern of LVH in women. Calculation of the likelihood ratio, in turn, demonstrated that all electrocardiographic criteria assessed had different and significant degrees of strength for the detection of LVH, perhaps also as a reflex of the severity of the disease in the group studied. However, the combination of the results of Pearson's correlation and likelihood ratio shows that the Cornell product was the most reliable criterion for the detection of LVH in the sample assessed.

Stewart et al25 found a positive correlation of QTc interval, QTc dispersion and LVH with the degree of deterioration of the renal function. On the other hand, Covic et al26 conducted a study including 68 non-diabetic patients with stage-5 CRD and demonstrated that the process of HD prolongs QTc interval, but not QTc dispersion, in patients without manifest heart disease. Conversely, Drighil et al's study21 of 49 patients with stage-5 CRD demonstrated that QTc dispersion increased, whereas the QTc interval remained stable after HD sessions. In our sample of dialysis patients, the QTc interval remained above the upper normal limit (>440ms) and QTc dispersion was high (normal range between 50-60 ms27). This observation may bear clinical relevance in view of the high rate of sudden death among this population. It is important to point out that no correlation was found between QTc and QTc dispersion and LVMI. This lack of correlation suggests that changes in QTc and QTc dispersion are more related to metabolic factors than to LVH itself.

Finally, we should note that the cut-off point used to define LVH in men and women in the present study was based on echocardiographic studies. It is important to point out that there are studies in the literature that used specimens obtained in autopsies as the gold-standard for correlation10,28. However, distortions are more likely to occur in such situations since, depending on the time elapsed and clinical condition of the patient before death, the bias can be relevant. In our midst, Rodrigues et al29 studied hearts from autopsies of healthy individuals who died of accidental causes and suggested the presence of LVH when the left ventricular mass is higher than 218g or 128 g/m in men and 148 g or 88 g/m in women.

Study limitations

Given that this study sample was comprised of severely ill patients whose clinical profile and long time of dialysis already correlate with a high prevalence of LVH, perhaps our findings should not be extrapolated to the general population.

Conclusion

ECG is a useful, efficient and highly reproducible method for the diagnosis of LVH in patients with stage-5 CRD undergoing HD. In this population, the Cornell product proved to be the most reliable criterion for the detection of LVH. Despite presenting lower sensitivity than echocardiography, the usefulness of ECG is stressed by its ability to detect electrophysiological changes such as QTc and QTc dispersion, which can be correlated with the high frequency of sudden death among this population.

Potential Conflict of Interest

No potential conflict of interest relevant to this article was reported.

Sources of Funding

There were no external funding sources for this study.

Study Association

This article is part of the thesis of Master submitted by Francisco de Assis Costa, from Universidade Federal de São Paulo - Escola Paulista de Medicina.

References

  • 1. Kannel WB, Gordon T, Offutt D. Left ventricular hypertrophy by electrocardiogram: prevalence, incidence, and mortality in the Framingham Study. Ann Intern Med. 1969; 71: 89-105.
  • 2. Levy D, Anderson KM, Savage DD, Kannel WB, Christiansen JC, Castelli WP. Echocardiographically detected left ventricular hypertrophy: prevalence and risk factors: the Framingham Heart Study. Ann Intern Med. 1988; 108: 7-13.
  • 3. Kannel WB. Prevalence and natural history of electrocardiographic left ventricular hypertrophy. Am J Med. 1983; Suppl 3A: 4-11.
  • 4. Smilde TDJ, Asselbegs FW, Hillege HL, Voors AA, Kors JA, Gansevoort RT, et al. Mild renal dysfunction is associated with electrocardiographic left ventricular hypertrophy. Am J Hypertens. 2005; 18: 342-47.
  • 5. Foley RN, Parfrey PS, Harnett JD, Kent GM, Martin CJ, Murray DC, et al. Clinical and echocardiographic disease in patients starting end-stage renal disease therapy. Kidney Int. 1995; 47: 186-92.
  • 6. Sokolow M, Lyon TP. The ventricular complex in left ventricular hypertrophy as obtained by unipolar precordial and limb leads. Am Heart J. 1949; 37: 161-86.
  • 7. 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: 1180-86.
  • 8. Casalle PN, Devereux RB, Alonso DR, Campo E, Kligfield P. Improved sex-specific criteria of left ventricular hypertrophy for clinical and computer interpretation of electrocadiograms: validation with autopsy findings. Circulation. 1987; 75 (3): 565-72.
  • 9. 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 (2): 417-23.
  • 10. Romhilt DW, Estes EH. A point-score system for the ECG diagnosis of left ventricular hypertrophy. Am Heart J. 1968; 75: 752-58.
  • 11. Schillaci G, Verdecchia P, Borgioni C, Ciucci A, Guerrieri M, Zampi I, et al. Improved electrocardiographic diagnosis of left ventricular hypertrophy. Am J Cardiol. 1994; 74: 714-19
  • 12. Sociedade Brasileira de Cardiologia. Diretriz para indicações e utilização da ecocardiografia na prática clínica. Arq Bras Cardiol. 2004; 82 (Supl II): 1-34.
  • 13. Lang RM, Bierig M, Devereux RB, Flachskampf FA; Foster E, Pellikka PA, et al. Recommendations for chamber quantification: a report from the American of Echocardiography's guidelines and standards committee and the chamber quantification writing group, developed in conjunction with the European Association of Echocardiography, a branch of the European Society of Cardiology. J Am Echocardiogr. 2005; 18: 1440-63.
  • 14. Devereux RB, Alonso DR, Lutas EM, Gottlieb GJ, Campo E, Sachs I. Echocardiographic assessment of left ventricular hypertrophy: comparison to necropsy findings. Am J Cardiol.1986; 57: 450-8.
  • 15. Mosteller RD. Simplified calculation of body-surface area. N Engl J Med. 1987; 317: 1098.
  • 16. Roman MJ, Klingfield R, Devereux RB. Geometric and functional correlates of electrocardiographic repolarization and voltage abnormalities in aortic regurgitacion and limb leads. Am Heart J. 1987; 37: 161-8.
  • 17. Levy D, Salomon M, D'Agostino RB, Belanger AJ, Kannel WB. Prognostic implications of baseline electrocardiographic features and their serial changes in subjects with left ventricular hypertrophy. Circulation. 1994; 90: 1786-93.
  • 18. Kannel WB, Levy D, Cupples LA. Left ventricular hypertrophy and risk of cardiac failure: insights from the Framingham Study. J Cardiovasc Pharmacol. 1987;10 (Suppl 6): S135-40.
  • 19. Okin PM, Devereux RB, Jern Sverker, Julius S, Kjeldsen SE, Dahlöf B. Relation of echocardiographic left ventricular mass and hypertrophy to persistent electrocardiographic left ventricular hypertrophy in hypertensive patients: The LIFE Study. Am J Hypertens. 2001; 14: 775-82.
  • 20. Julius S, Kjeldsen SE, Weber M, Brunner HR, Ekman S, Hansson L, et al. Outcomes in hypertensive patients in high cardiovascular risk treated with regimens based on valsartan and amlodipine: the VALUE randomised trial. Lancet. 2004; 363: 2022-31.
  • 21. Dahlöf B, Devereux RB, Kjeldsen SE, Julius S, Beevers G, De Faire U, et al. Cardiovascular morbidity and mortality in the Losartan Intervention For Endpoint reduction in hypertension study (LIFE): a randomised trial against atenolol. Lancet. 2002; 359: 995-1003.
  • 22. Verdecchia P, Schillaci G, Borgioni C, Ciucci A, Gattobigio R, Zampi I, et al. Prognostic value of a new electrocardiographic method for diagnosis of left ventricular hypertrophy. J Am Coll Cardiol. 1998; 31: 383-90.
  • 23. 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. 1994; 81: 815-20.
  • 24. Alfakih K, Walters K, Jones T, Ridgway J, Hall AS, Sivannanthan M. New gender-specific partition values for ECG criteria of left ventricular hypertrophy: recalibration against cardiac MRI. Hypertension. 2004; 44: 175-9.
  • 25. Stewart GA, Gansevoort RT, Mark PB, Rooney E, McDonagh TA, Dargie HJ, et al. Electrocardiographic abnormalities and uremic cardiomyopathy. Kidney Int. 2005; 67: 217-26.
  • 26. Covic A, Diaconita M, Gusbeth-Tatomir P, Covic M, Botezan A, Ungureanu G, et al. Haemodialysis increases QTc interval but not QTc dispersion in ESRD patients without manifest cardiac disease. Nephrol Dial Transplant. 2002; 17: 2170-7.
  • 27. Van de Loo A, Arendts W, Hohnloser SH. Variability of QT dispersion measurements in the surface electrocardiogram in patients with acute myocardial infarction and in normal subjects. Am J Cardiol. 1994; 74: 1113-18.
  • 28. Mazzoleni A, Wolff R, Wolff L, Reiner L. Correlation between component cardiac weights and electrocardiographic patterns in 185 cases. Circulation. 1964; 30: 808-29.
  • 29. Rodrigues SL, Pimentel EB, Mill JG. Peso dos ventrículos cardíacos determinado em necropsia de indivíduos saudáveis mortos por causas externas. Arq Bras Cardiol. 2007; 89 (5): 279-84.
  • Electrocardiography in the diagnosis of ventricular hypertrophy in patients with chronic renal disease

    Francisco de Assis CostaI; Ivan Romero RiveraI; Mirian Lira Castro de VasconcelosI; André Falcão Pedrosa CostaI; Rui Manoel dos Santos PóvoaII; Maria Tereza Nogueira BombigII; Bráulio Luna FilhoII; Valter Correia de LimaII
  • Publication Dates

    • Publication in this collection
      24 Nov 2009
    • Date of issue
      Oct 2009

    History

    • Received
      25 Aug 2008
    • Reviewed
      31 Oct 2008
    • Accepted
      31 Oct 2008
    Sociedade Brasileira de Cardiologia - SBC Avenida Marechal Câmara, 160, sala: 330, Centro, CEP: 20020-907, (21) 3478-2700 - Rio de Janeiro - RJ - Brazil, Fax: +55 21 3478-2770 - São Paulo - SP - Brazil
    E-mail: revista@cardiol.br