Does impaired left ventricular relaxation affect P wave dispersion in patients with hypertension?

Exploring vectorcardiography: An extensive vectocardiogram analysis across age, sex, BMI, and cardiac conditions

BACKGROUND

The vectocardiogram (VCG) offers a three-dimensional view of the heart's electrical activity, yet many VCG parameters remain unexplored in diverse clinical contexts.

OBJECTIVES

This study aims to explore the relationships between various VCG parameters and specific patient characteristics.

METHODS

ECG signals from adults were transformed into VCGs utilizing the Kors matrix, yielding 315 parameters per patient from the P, QRS and T loops. Univariable analysis, circular statistics, and stepwise logistic regression were employed to examine the relationships between VCG parameters and factors such as age, sex, BMI, hypertension, echocardiographic ischemic heart disease (Echo-IHD), and left ventricular hypertrophy (Echo-LVH).

RESULTS

We included 664 adults and considered an alpha value of 0.05 and a power of 90%. The study revealed significant associations, such as age with P loop roundness index (RI) (OR = 3.825, 95% confidence interval [95%CI] = 2.079-7.04), male sex with QRS loop RI (OR = 6.08, 95%CI = 1.835-20.153), abnormal BMI with the T loop's RI (OR = 0.544, 95%CI = 0.325-0.909), hypertension with the T loop planarity index (PI) (OR = 8.01, 95%CI = 2.134-30.117), Echo-IHD with QRS loop curvature at the 4/10th segment (OR = 7.58, 95%CI = 1.954-29.458), and Echo-LVH with the T loop lag-1/10 dihedral angle (OR = 10.3, 95%CI = 1.822-58.101). In the study, several additional VCG parameters demonstrated statistically significant, albeit smaller, associations with patient demographics and cardiovascular conditions.

CONCLUSIONS

The findings enhance our understanding of the intricate relationships between VCG parameters and patient characteristics, emphasizing the potential role of VCG analysis in assessing cardiovascular diseases. These insights may guide future research and clinical applications in cardiology.

Electrocardiogram as a Tool to Predict Diastolic Dysfunction in the Early Hypertensive Patients and its Comparison in Males and Females

Objectives:

Heart failure with preserved ejection fraction continues to be a major healthcare challenge. Assessment of diastolic dysfunction (DD) is an integral part of the routine cardiologic examination, however little is known about ECG changes in diastolic dysfunction. several resting ECG parameters have been investigated to predict left ventricular diastolic dysfunction (LVDD). The study aims to assess diastolic dysfunction in recently diagnosed hypertensive patients by echocardiography and to find the value of ECG-derived parameters in predicting diastolic dysfunction.

Materials and Methods:

One hundred and fifty hypertensive patients of less than 1-year duration were divided into two groups based on the presence or absence of diastolic dysfunction. ECG parameters such as P wave dispersion, QT and QTc interval, ventricular activation time, Tend P, Tend Q were analyzed in all patients, and correlation was done with echo parameters to assess diastolic dysfunction in both males and females.

Results:

In both men and women a significant correlation was found between p wave dispersion, ventricular activation time, Corrected QT interval, TendP, and, Tend Q in ECG with diastolic dysfunction on bivariate regression analysis. Multivariate regression analysis showed that p wave dispersion had a greater correlation with diastolic dysfunction when compared with other ECG parameters (r=0.88, R2=0.78).

Conclusion:

Analysis of certain ECG parameters especially p wave dispersion is of great value in predicting diastolic dysfunction in both men and women.

Electrocardiographic Features of Left Ventricular Diastolic Dysfunction and Heart Failure With Preserved Ejection Fraction: A Systematic Review

Background: Electrocardiographic features are well-known for heart failure with reduced ejection fraction (HFrEF), but not for left ventricular diastolic dysfunction (LVDD) and heart failure with preserved ejection fraction (HFpEF). As ECG features could help to identify high-risk individuals in primary care, we systematically reviewed the literature for ECG features diagnosing women and men suspected of LVDD and HFpEF. Methods and Results: Among the 7,127 records identified, only 10 studies reported diagnostic measures, of which 9 studied LVDD. For LVDD, the most promising features were T-end-P/(PQ*age), which is the electrocardiographic equivalent of the passive-to-active filling (AUC: 0.91-0.96), and repolarization times (QTc interval ≥ 350 ms, AUC: 0.85). For HFpEF, the Cornell product ≥ 1,800 mm*ms showed poor sensitivity of 40% (AUC: 0.62). No studies presented results stratified by sex. Conclusion: Electrocardiographic features are not widely evaluated in diagnostic studies for LVDD and HFpEF. Only for LVDD, two ECG features related to the diastolic interval, and repolarization measures showed diagnostic potential. To improve diagnosis and care for women and men suspected of heart failure, reporting of sex-specific data on ECG features is encouraged.

[P wave dispersion increased in childhood depending on blood pressure, weight, height, and cardiac structure and function]

INTRODUCTION

Increased P wave dispersion are identified as a predictor of atrial fibrillation. There are associations between hypertension, P wave dispersion, constitutional and echocardiographic variables. These relationships have been scarcely studied in pediatrics.

OBJECTIVE

The aim of this study was to determine the relationship between P wave dispersion, blood pressure, echocardiographic and constitutional variables, and determine the most influential variables on P wave dispersion increases in pediatrics.

METHOD

In the frame of the PROCDEC II project, children from 8 to 11 years old, without known heart conditions were studied. Arterial blood pressure was measured in all the children; a 12-lead surface electrocardiogram and an echocardiogram were done as well.

RESULTS

Left ventricular mass index mean values for normotensive (25.91±5.96g/m(2.7)) and hypertensive (30.34±8.48g/m(2.7)) showed significant differences P=.000. When we add prehypertensive and hypertensive there are 50.38% with normal left ventricular mass index and P wave dispersion was increased versus 13.36% of normotensive. Multiple regression demonstrated that the mean blood pressure, duration of A wave of mitral inflow, weight and height have a value of r=0.88 as related to P wave dispersion.

CONCLUSIONS

P wave dispersion is increased in pre- and hypertensive children compared to normotensive. There are pre- and hypertensive patients with normal left ventricular mass index and increased P wave dispersion. Mean arterial pressure, duration of the A wave of mitral inflow, weight and height are the variables with the highest influence on increased P wave dispersion.

P-wave dispersion: relationship to left ventricular function in sickle cell anaemia

Background

The prognostic implications of P-wave dispersion in patients with a variety of cardiac disease conditions are increasingly being recognised. The relationship between P-wave dispersion and left ventricular function in sickle cell anaemia is unknown.

Objective

This study was aimed at evaluating the relationship between P-wave dispersion and left ventricular function in adult Nigerian sickle cell anaemia patients.

Methods

Between February and August 2007, a total of 62 sickle cell anaemia patients (aged 18–44 years; mean 28.27 ± 5.58) enrolled in the study. These were drawn from patients attending the adult sickle cell clinic of the University of Nigeria Teaching Hospital, Ituku-Ozalla, Enugu. An equal number of age- and gender-matched normal subjects served as controls. All the participants were evaluated with electrocardiography and echocardiography. P-wave dispersion was defined as the difference between the maximum and minimum P-wave duration measured in a 12-lead electrocardiogram.

Results

P-wave duration and P-wave dispersion were significantly higher in patients than in controls. Significant correlation was demonstrated between P-wave dispersion and age in the patients (r = 0.387; p = 0.031). A comparison of subsets of sickle cell anaemia patients and controls with comparable haematocrit values (30–35%) showed significantly higher P-wave duration and P-wave dispersion in the patients than in the controls. The P-wave duration in patients and controls, respectively, was 111.10 ± 14.53 ms and 89.14 ± 16.45 ms (t = 3.141; p = 0.006). P-wave dispersion was 64.44 ± 15.86 ms in the patients and 36.43 ± 10.35 ms in the controls (t = 2.752; p = 0.013). Significant negative correlation was found between P-wave dispersion and left ventricular transmitral E/A ratio (r = –0.289; p = 0.023).

Conclusion

These findings suggest that P-wave dispersion could be useful in the evaluation of sickle cell patients with left ventricular diastolic dysfunction. Further prospective studies are recommended to evaluate its prognostic implication on the long-term disease outcome in sickle cell disease patients.

P-wave indices: derivation of reference values from the Framingham Heart Study

BACKGROUND

P-wave indices, an electrocardiographic phenotype reflecting atrial electrophysiology and morphology, may be altered in multiple disease states or by cardiovascular risk factors. Reference values for P-wave indices, providing cut points for their classification and interpretation, have not yet been established and are essential toward facilitating clinical application and comparison between studies.

METHODS

We randomly selected 20 men and 20 women from 10-year age intervals between <25 years to 76-85 years from the Framingham Heart Study Original and Offspring Cohorts, excluding subjects with prevalent cardiovascular disease, hypertension, diabetes or obesity. The total included 295 subjects; eligibility in women >75 years was limited by exclusion criteria. We used a digital measurement technique with demonstrated intrarater reproducibility to determine P-wave indices. P-wave indices examined included the maximum, mean, lead II and PR durations, dispersion, and the standard deviation of duration.

RESULTS

All P-wave indices were significantly (P < 0.0001) correlated with advancing age. Means of all P-wave indices were lower in women as compared to men. PR-interval duration was strongly correlated with maximum, mean, and lead II mean P-wave durations. In multivariable models adjusting for significant anthropometric and clinical associations risk factors, significant differences persisted by age and sex in P-wave indices.

CONCLUSIONS

In our healthy sample without cardiovascular disease, hypertension, diabetes, or obesity, men and older subjects had longer mean P-wave indices. Our description of P-wave indices establishes reference values for future comparative studies and facilitates the classification of P-wave indices.

P-wave dispersion and its relationship to aortic elasticity in young prehypertensive patients

BACKGROUND

Prolonged P-wave duration (P(dur)) and increased P-wave dispersion (PWD) are independent predictors of atrial fibrillation (AF) in patients with hypertension. This study was designed to evaluate the possible relationship between aortic elasticity and PWD in young prehypertensive patients.

METHODS

Twenty-five newly diagnosed prehypertensive patients (18 men, mean age = 34 +/- 6 years) and 25 healthy control subjects (16 men, mean age = 33 +/- 6 years) were enrolled in the study. The P(dur) measurements were calculated using a 12-lead surface electrocardiogram (ECG). Aortic elasticity parameters were derived from aortic diameters measured by echocardiography, and simultaneous blood pressure (BP) measurements by sphygmomanometry.

RESULTS

The baseline characteristics of patients with prehypertension were homogeneous with those of the controls. PWD and P(maximum) values were found to be higher in patients with prehypertension as compared to those of the controls (PWD; 65 ms vs. 35 ms, P < 0.001; P(maximum); 110 ms vs. 80 ms, P < 0.001). However, P(minimum) values were not significantly different between the two groups (40 ms vs. 45 ms, P = 0.358). Also, a moderate positive correlation was found between stiffness index (SI) and PWD (r = 0.500, P = 0.011), and a moderate negative correlation between aortic elasticity parameters (aortic distensibility and strain indexes) and PWD (for aortic distensibility, r = -0.498, P = 0.011; for strain index, r = -0.578, P = 0.002), in patients with prehypertension.

CONCLUSIONS

Young patients with prehypertension have increased PWD and arterial stiffness. These parameters are correlated and may pose additional risk factors for future cardiovascular events.

Comparison of the effects of quinapril and irbesartan on P-wave dispersion in hypertensive patients

INTRODUCTION

P-wave dispersion (PWD) has been shown to be a non-invasive electrocardiographic predictor for development of atrial fibrillation (AF). Thus, it may be possible to attenuate AF risk through improvement of PWD. In this study, we compared the effects of an angiotensin-converting enzyme (ACE) inhibitor, quinapril, and an angiotensin receptor blocker (ARB), irbesartan, on PWD.

METHODS

A total of 38 newly diagnosed hypertensive patients were enrolled in the study. The patients were randomly assigned to receive treatment with either irbesartan (150-300 mg) or quinapril (20-40 mg). P-wave durations and PWD were measured at baseline and after 6 and 12 months of treatment. Echocardiographic examinations were performed at baseline and after 12 months of treatment.

RESULTS

Both drugs significantly reduced blood pressure to a similar degree (P<0.001). Deceleration time (both P<0.001) and isovolumetric relaxation time (both P=0.007) were also significantly reduced, whereas there was no significant change in the early diastolic flow/atrial contraction signal ratio. Both irbesartan and quinapril significantly decreased maximum P-wave duration (Pmax) (P<0.001 and P=0.002, respectively) and PWD (from 68.0+/-22.1 to 41.0+/-25.1 msec for irbesartan, and from 70.5+/-20.4 to 46.6+/-13.3 msec for quinapril; both P<0.001). Baseline and follow-up blood pressure, heart rate, echocardiographic findings, and P-wave values were not significantly different between the irbesartan and quinapril groups. No patient developed AF during follow-up. There was no significant correlation between PWD and blood pressure or diastolic function parameters.

CONCLUSION

Antihypertensive treatment with either irbesartan or quinapril is associated with significant reductions in Pmax and PWD.

P wave dispersion is prolonged in patients with Wilson’s disease

AIM: To investigate the P wave dispersion as a non-invasive marker of intra-atrial conduction disturbances in patients with Wilson’s disease.

METHODS: We compared Wilson’s disease patients (n = 18) with age matched healthy subjects (n = 15) as controls. The diagnosis was based on clinical symptoms, laboratory tests (ceruloplasmin, urinary and hepatic copper concentrations). P wave dispersion, a measurement of the heterogeneity of atrial depolarization, was measured as the difference between the duration of the longest and the shortest P-waves in 12 lead electrocardiography.

RESULTS: All the patients were asymptomatic on cardiological examination and have sinusal rhythm in electrocardiography. Left ventricular and left atrial diameters, left ventricular ejection fraction and left ventricular mass index were similar in both groups. The Wilson’s disease patients had a significantly higher P wave dispersion compared with the controls (44.7 ± 5.8 vs 25.7 ± 2.5, P < 0.01).

CONCLUSION: There was an increase in P wave dispersion in cardiologically asymptomatic Wilson’s disease patients which probably represents an early stage of cardiac involvement.

Short-term effects of cilazapril and atenolol on P-wave dispersion in patients with hypertension

INTRODUCTION

P-wave dispersion (PWD) has been shown to be a non-invasive electrocardiographic predictor for development of atrial fibrillation (AF). Thus, it may be possible to decrease AF risk through improvement in PWD. Our objective was to compare the effects of cilazapril and atenolol on P-wave duration and dispersion in patients with hypertension.

METHODS

A total of 38 newly diagnosed hypertensive patients were enrolled in the study. The patients were randomly assigned to receive treatment with either cilazapril (5 mg) or atenolol (50 mg). Doppler echocardiographic examination, P-wave durations and PWD were measured before and 1 mo after treatment

RESULTS

Both drugs reduced blood pressure significantly (P<0.001). Posttreatment heart rate was significantly lower in the atenolol group (P=0.01). The change in maximum P-wave duration was not significant. However, both agents decreased PWD (P=0.001 and P<0.001) and increased the minimum P-wave duration (P=0.004 and P=0.02).

CONCLUSION

Both cilazapril and atenolol treatments resulted in improvement in PWD.

Relation between P-wave dispersion and left ventricular geometric patterns in newly diagnosed essential hypertension

AIM

P-wave durations and P-wave dispersion (PD) are considered to reflect the heterogeneous conduction in atria. The aim of this study was to investigate PD and P-wave duration in different left ventricle geometric patterns of hypertensive patients.

METHODS

One hundred forty-nine consecutive patients with newly diagnosed essential hypertension and 29 healthy control groups were included in the study. The maximum and minimum P-wave duration (Pmax and Pmin, respectively) and PD were measured from the 12-lead surface electrocardiogram. Echocardiographic examination was also performed in all subjects. Four different geometric patterns were identified in hypertensive patients according to left ventricular mass index (LVMI) and relative wall thickness.

RESULTS

P-wave dispersion was longer in concentric remodeling (CR), concentric hypertrophy (CH), and eccentric hypertrophy (EH) groups when compared with the control group (P = .009, P < .001, P < .001, respectively). P-wave dispersion of normal left ventricle (NLV) geometric pattern was not different from that of the control group. Patients with NLV geometric pattern had shorter PD than patients who had CH and EH (NLV vs CH, P < .001; NLV vs EH, P = .025). P-wave dispersion of the NLV group was not different from that of the CR group. Patients with CR had also shorter PD than patients who had CH (P = .002). In bivariate analysis, there was a significant correlation between PD with left ventricle geometry, body surface area, LVMI, and relative wall thickness. In multiple linear regression analysis, PD was independently correlated only with LVMI (beta = .425, P < .001).

CONCLUSIONS

P-wave dispersion is independently associated with LVMI rather than left ventricle geometry and relative wall thickness in hypertensive patients. Thus, it is increased particularly in patients with CH and EH.

The relationship between P wave dispersion and diastolic dysfunction

We investigated the relationship between P wave dispersion, which is easily measured on the surface electrocardiogram and may be used in evaluating the risk of atrial fibrillation, and left ventricular diastolic function. There were 133 patients: 73 with diastolic dysfunction and 60 without. P wave dispersions were calculated by measuring minimum and maximum P wave duration values on the surface electrocardiogram. The relationships between P wave dispersion and the presence, cause, severity, and echocardiographic measurements of diastolic dysfunction were investigated. P wave dispersion was 53 +/- 9 ms in patients with diastolic dysfunction and 43 +/- 9 ms in the control group (P < 0.01). When patients were grouped according to stage of diastolic dysfunction, P wave dispersion was 48 +/- 7 ms in stage 1, 54 +/- 8 ms in stage 2, and 58 +/- 9 ms in stage 3. As the severity of diastolic dysfunction increased, P wave dispersion increased but the difference did not reach statistical significance (P < 0.05). When the cause of diastolic dysfunction was considered, P wave dispersion was 53 +/- 8 ms in patients with ischemic heart disease and 52 +/- 9 ms in patients with left ventricular hypertrophy (P > 0.05). We conclude that P wave dispersion increases in diastolic dysfunction, but that this increase is not related to the severity or cause of diastolic dysfunction. When clinical and echocardiographic variables are taken into account, there is a weak but significant correlation only between P wave dispersion and left ventricular ejection fraction.

P-wave dispersion for predicting maintenance of sinus rhythm after cardioversion of atrial fibrillation

P-wave measurements and left atrial function were investigated to predict the maintenance of sinus rhythm after cardioversion of atrial fibrillation. Left atrial dimension <45 mm (p = 0.02) and P-wave dispersion <46 ms (p <0.001) were independent predictors of sinus rhythm maintenance, with a sensitivity of 89% and 96%, respectively. Duration of atrial fibrillation, maximum P-wave duration, and no spontaneous echocardiographic contrast were also univariate predictors.