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Dependencia de la dispersion de la onda P en la presion arterial media como variable hemodinamica independiente en ninos en edad escolar.

Dependence of P-wave dispersion on mean arterial pressure as an independent hemodynamic variable in school children

Introduction

Atrial Fibrillation (AF) is a paradigm of atrial arrhythmic heterogeneity with an anatomical and electrophysiological complex quality (1).

It has been suggested that one of the mechanisms involved in AF pathogenesis is the presence of multiple random re-entrant wavelets that propagate and become extinct or fractionate within the atrial tissue. The correlation between the presence of abnormalities in atrial conduction and paroxysmal AF induction is well documented (2).

Intra and interatrial conduction prolongation and the homogeneous propagation of sinus impulses are electrophysiological characteristics of patients with paroxysmal AF(3). Atrial Fibrillation as a sustained tachyarrhythmia has been associated with both cardiovascular risk factors and a substantial increase in morbidity and mortality. There are many diseases associated with AF, such as heart failure, ischemic heart, valvular heart, thyroid, diabetes mellitus, lung and hypertension. The last infirmity noted is related to all of these diseases (4).

Concerning hypertension, researchers have demonstrated a significant relationship between changes in the left ventricular geometry and PWD (5, 6). These phenomena arise in adults with AF.

The objective of this paper is to determine the association between PWD and mean blood pressure (BP) in children between 8 and 11 years of age.

Material and Methods

This study which was developed as part of the PROCDEC II Asturias-Cuba project for the diagnosis and management of arterial hypertension in the pediatric population was conducted by a multidisciplinary team (pediatricians, cardiologists, pediatric cardiologists, endocrinologists and Clinical Laboratory and Statistics and IT specialists).

A total of 5,025 children between 8 and 11 years old from 43 primary schools of Santa Clara district, province of Villa Clara, Cuba, were included. A detailed medical history was obtained from all the children as well as complementary studies that helped in the diagnosis of essential and secondary arterial hypertension and other comorbidities (diabetes mellitus, blood disorders, kidney and adrenal diseases, hypertrophic cardiomyopathy).

A cluster sampling was done in the present study. Schools involved were randomly selected; the number of children selected for this age group totaled 565. Children studied were attending the third, fourth and fifth grade of school courses 2008-2009 and 2009-2010 at three primary schools in the urban area. Finally 515 children were studied. Inclusion criteria were:

Inclusion criteria were: Children between 8 and 11 years old, sexual development in stage 1 of Tanner, considered in a prepubertal stage on which sexual hormones still do not have an impact, children's consent, parents' or tutors' consent for children's participation in the study. Exclusion criteria comprised: Children younger than 8 years old in whom psychological studies showed greater fear or stress when in front of the medical staff, congenital heart disease as the child's personal history or diagnosed during the study, secondary arterial hypertension; other comorbidities: diabetes mellitus, blood disorders, kidney and adrenal diseases, idiopathic hypertrophic cardiomyopathy. A cross sectional study was done with the selected sample. Height was measured in meters using a height rod specifically designed for this aim, children had to be barefoot.

The main element of the physical examination was the way in which BP measurements were obtained. The conventional method for measurement was used by means of a calibrated scillometric sphygmomanometer. Measurements were always taken under similar conditions by the same staff utilizing an appropriate-sized cuff with the cuff bladder covering at least 80% of the child's arm. It was measured at the midpoint between the acromion and the olecranon with a pediatric-sized stethoscope (7).

BP measurements were taken with the child in a seated position with the forearm resting on a table, and after remaining at rest for at least 10 min. An unwrinkled cuff was placed at the level of the heart.

Four BP measurements were taken on different days. The cuff was inflated to 20 mm Hg above the abolition level of the radial pulse, and it deflated at a rate of approximately 2 mm Hg per second. The systolic BP was determined to be the pressure at which the first sound was heard (Korotkoff phase I) and the diastolic BP were defined by the change of the arterial tone or by the point of noise cessation (Korotkoff phase IV).

The sample was classified according to the diagnosis of normotensive blood pressure, i.e. with BP below the 90th percentile; pre-hypertensive, by a BP between the 90th and 95th percentiles, and hypertension by a BP higher than the 95th percentile for age, sex and height in all cases. This procedure is consistent with those established in the Fourth Report on the Diagnosis, Evaluation, and Treatment of High Blood Pressure in Children and Adolescents (7). The mean BP was calculated for each subject and then group averages were determined.

A 12-lead surface electrocardiogram was performed with Nyhom Kodem equipment standardized at a paper speed of 50 mm/second. P-waves were measured for each lead. The maximum p value was taken as the highest measured P-wave value; the minimum p value was noted as the lowest measured value; and the P-wave dispersion (PWD) was identified as the difference between the maximum and the minimum p value.

Echocardiography also was performed with Aloka 5000 equipment, using a 3.5 MHz transducer. The existence of structurally normal hearts for the entire sample was confirmed through echocardiography. Mitral inflow was determined by Doppler pulse in an apical four-chamber view. A normal pattern of left ventricular relaxation was identified for all of the 515 children under study.

The following echocardiography variables were also obtained: left ventricular diameter (diastolic and systolic diameters), inter-ventricular septum thickness, posterior wall thickness, fractional shortening, ejection fraction, left atrial diameter, velocity and mitral inflow A-wave duration (AWD), respectively given in millimetres per second and milliseconds. These values were used to calculate the left ventricular mass, according to the Deveroux equation (8).

Left Ventricular Mass (g) = 0.8 x 1.04 x [(LVD+ IVS+ WP) x 3] + 0 6 (1)

Where: LVD = left ventricular diameter (mm) IVS = inter-ventricular septum (mm) WP = posterior wall (mm)

The left ventricular mass index (LVMI) g/cm was calculated by equation [2.sup.9].

LVMI = Left ventricular mass/[size.sup.2.7] (2)

Ethical aspects.

The approval was requested to the Ethics Committees of Universidad Martha Abreu de las Villas and of Hospital Pediatrico Universitario Jose Luis Miranda. Before their approval, those from the Ministries of Health and Education were requested; they were received in March 2007. The informed consent was requested to the parents, and children who participated in the study gave their approval. Data were analyzed using the SPSS 17.0 software, and the means and standard deviations were calculated. The differences in continuous variables among 3 diagnosis-related groups and 2 sex-related groups were evaluated by parametric tests. Additionally, a multivariate linear regression was performed to identify the most influential variable from an independent perspective on PWD as the dependent variable. In all cases, a 95% confidence interval was used along with partial correlations for age, weight and height. An ANOVA with the Scheffe test was used to compare means.

Results

Table 1 shows the meanvalues for the diagnosis-related groups and their standard deviations.The average PWD increased from 31.85 ms, for normotensive children, to 37.33 ms, for pre-hypertensive children, and up to 39.74 ms in the case of hypertensive children. It showed significant differences between normotensive andpre-hypertensive subjects (p <0.01), as well as between normotensive and hypertensive children (p <0.01). No significant differences were found between pre-hypertensive and hypertensive children (p= 0.411).

The echocardiographic variables studied included: velocity and mitral inflow Awave duration, left atrium diameter, left and right atrial area and left ventricular mass index. The systolic blood pressure, diastolic blood pressure and mean blood pressure (MBP) were all determined, as were the weight, height, age and body surface area.

Echocardiographic variables are also shown in Table 1. LVMI mean values between normotensive and pre-hypertensive children showed no significant difference (p= 0.118); however, there was a significant difference (p= 0.026) between normotensive and hypertensive children. LVMI mean values for pre-hypertensive and hypertensive children were not significantly different (p= 0.256).

The AWD value decreased from 138.2 ms in normotensive children to 131.6 ms in hypertensive children, and the standard deviation likewise decreased. No significant differences between AWD means were observed in the comparison using an ANOVA with the Scheffe Test and a 95-percent confidence interval (inter-group). A multivariate linear regression analysis was also performed with a 95% confidence interval that adjusted for age, weight and height. The purpose was to identify MBP as an independent variable among variables having a greater influence on PWD. Table 1 show that MBP values increasedfrom normotensive to hypertensive (79.6 mmHg for normotensive; 83.5 mmHg for pre-hypertensive, and 87.2 mmHg for hypertensive).

PWD: P wave dispersion, LVMI: Left ventricular mass index, AWD: Mitral inflow A wave duration, MBP: Mean Blood pressure, LAA: left atrial area, LVEF: Left ventricular ejection fraction, FS: fractional shortening, LV: Left ventricular dimension, ms: Milliseconds, mmHg: millimeter of mercury, cm 2: centimeter square, mm: millimeter. Normo: Normotensive, Prehyp: Prehypertensive, Hypert: Hypertensive.

A comparison betweenMBP and diagnostic classifications was also performed. Significant differences in PWD were found between normotensive and pre-hypertensive (p <0.01), normotensive and hypertensive (p <0.01), and pre-hypertensive and hypertensive (p <0.01).

Discussion

The most important results are the following: a significant correlation in statistical variables was found between PWD and mean BP for pre-hypertensive and hypertensive children (r= 0.32, p <0.01 and r= 0.33, p <0.01) respectively. There was significant correlation found between PWD and the left atrial area.

There were a high percentage of pre-hypertensive children who had BP values between the 90th-95th pressure percentiles. Thus, it can be argued that those children are at risk of suffering hypertension in the absence of adequate medical intervention (10).

The highest PWD in hypertensive and pre-hypertensive groups are shown in Table 1 and indicate an increased vulnerability to the development of atrial arrhythmia. The relationship between this highest PWD and the development of paroxysmal AF by electrophysiological alterations of the left atrial wall has been well documented for adults (2,11). Similar results were obtained for the case of children. A significant difference in the p parameters was found when comparing PWD means for normotensive and pre-hypertensive children, as was the case in comparisons between normotensive and hypertensive children. However, PWD means for pre-hypertensive and hypertensive children were not significantly different. In fact, a similar PWD was evident. This might explain the heterogeneous behavior of the atrial wall in these groups.

The highest PWD also showed intra- and inter-atrial delay conduction. This may explain the presence of electrical heterogeneity at this anatomical level (12). It should be noted that an early hypertension diagnosis, along with the onset of early treatment for these children, would help to lower their cardiovascular risk. Several authors have considered the possibility of returning to normal PWD by using antihypertensive treatment and thus reducing the risk of AF. The latter method would likely help to improve the quality of life for hypertensive patients (13).

Kose et al. (14), noticed an increase in LVM secondary to increased BP. They have also pointed out the relationship between LVMI increase/PWD increase/paroxysmal AF in adults with a diagnosis of cardiovascular disease. All of these variables were closely related to this study of children.

Therefore, the largest PWD that has been described in adults that is associated with a deteriorating cardiovascular prognosis can be identified from the age of childhood. It may be possible to obtain a regression of PWD in hypertensive children by correctly treating them, as occurs in adult cases (13).

Gunduz et al. (15), referred to the relationship between DD levels and PWD increases. However, they did not find any relationship to the primary cause of DD. Donoiu et al. (16), however, concluded from their study that the severity of DD in hypertensive children is related to increases in PWD.

Changes in left ventricular geometry caused by hypertension, such as occurs in left ventricular hypertrophy (concentric or eccentric) and in LVMI, have been associated with increased PWD. PWD, in particular, has been independently associated with LVMI (6,15). There is also previous confirmation of the relationship between hypertension and left ventricular hypertrophy and diastolic dysfunction (DD) (15).

DD is frequent in patients with hypertension (15). A DD study using Doppler pulsed echocardiography showed a decreased AWD in conjunction with increased rates in the pulmonary veins. However, in our sample, the selection criterion was a normal pattern of left ventricular relaxation. We observed the trend toward decreased AWD in hypertensive versus normotensive children, although they did not show significant differences.

It has been found that increased systemic pressure leads to increases in left intra-ventricular pressure and retrograde pressures in the left atrium, as part of the transition to DD (16). This knowledge could lead to the pathophysiological argument that despite the absence of altered echocardiographic patterns, this study found a pathophysiological negative influence due to increases in the systemic pressure on left ventricular relaxation.

Several authors (17, 18), who used animal models have described a direct relationship between increases in intra-atrial pressure and the vulnerability of these structures to the development of arrhythmias. In our electrocardiographic study, we observed that high PWD leads to decreased AWD (negative correlation). Therefore, we can argue that from an early age there are pathophysiological influences by increasing systemic BP levels. This leads to impaired ventricular relaxation, despite an E/A normal mitral inflow and subsequent disorder in atrial mechanics. This disorder is represented here by AWD, which corresponds to atrial ejection.

The linear regression between PWD and AWD was applied to the diagnosis-related groups, and a significant linear correlation was demonstrated for the entire sample. A significant relationship was not found among normotensive children; however, a significant linear correlation reappeared in pre-hypertensive and hypertensive children, as shown in the relationship between PWD and AWD. Beevers et al. (19), described and defined the pathophysiology of hypertension in which increases in systemic pressure raises the left ventricular pressure and increases the retrograde left atrial pressure. The retrograde left atrial pressure has been related to wall stress and subsequently to the development of electrophysiological conditions that favor the occurrence of atrial arrhythmia. The renin angiotensin aldosterone role in the pathophysiology of hypertension and the remodelled atrial was later described.

It has been shown to increase atrial vulnerability and lead to the development of atrial arrhythmia in prehypertensive patients (20, 21).

Several studies indicate that the relationship between PWD and MBP also guarantees that arrhythmia risk decreases when the BP was normalized. It is shown by the regression of PWD values and decrease of heterogeneity in impulse conduction (2, 13). It was noted that this increase in PWD indicates increased atrial vulnerability to the development of atrial arrhythmia. Chavez et al. (22), also described a positive correlation between PWD and the left atrial area in hypertensive children.

Higher r correlation coefficients and PWD can be found in the literature. In our opinion, it is important to consider that these values relate to adults with hypertension, heart failure and other inflammatory secondary changes to the activity of the renin-angiotensin-aldosterone system (20). We hold the belief that these advanced inflammatory changes are not present in early childhood.

Conclusions:

We highlighted the dependence between PWD, the electrocardiogram and mean blood pressure and drew attention to the dependence of PWD on the duration of the mitral inflow A-wave. Perhaps these results will provide a satisfactory explanation for the earlier changes in the characteristics of the hemodynamics and atrial electrophysiology in pediatric patients.

Article history:

Received Nov 16 2012

Received in revised form Feb 02 2013

Accepted Sep 06 2013

Acknowledgements

This study was partially supported by the PROCDEC II project financed by Oviedo's government, the ASTUR-CUBA Society in Spain and by the Universidad Central "Marta Abreu" de Las Villas, in Cuba. We also wish to express thanks to the IMI Institute of Barcelona, Spain. The authors also wish to thank Vivian Fernandez, PhD and Juan V. Lorenzo-Ginori, PhD for their review of the manuscript.

Conflict of interest: none declared

References

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(9.) Lurbe E, Cifkova R, Cruickshank JK, Dillon MJ, Ferreira I, Invitti C, et al. Manejo de la hipertension arterial en ninos y adolescentes. Recomendaciones de la Sociedad Europea de Hipertension. Hipertens Riesgo Vasc. 2010; 27 (2): 47-74

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Elibet Chavez [1], Emilio F. Gonzalez [2], Maria del Carmen Llanes [3] Merlin Gari Llanes [3], Yosvany Garcia [3]

[1] Cardiocentro Ernesto Guevara de Villa Clara. Villa Clara, Cuba.

[2] Universidad Central de Las Villas. Villa Clara. Cuba.

[3] Hospital Pediatrico Universitario Jose Luis Miranda. Villa Clara. Cuba

* Corresponding Author.

E-mail Address :elibet@capiro.vcl.sld.cu(Chavez E), corazon@hped.vcl.sld.cu (Llanes MC), eglez@uclv.edu.cu(Gonzalez EF), corazon@hped.vcl.sld.cu (Llanes MG), merlingll@hped.vcl.sld.cu (Llanes MG), yosvanygnobrega@gmail.com (Garcia Y)
Table 1: Distribution of mean and standard deviation values for
P-wave dispersions and echocardiographic variables

Variable           Normo (n = 333)        Prehyp (n = 156)

PWD fins)          31.85 [+ or -] 9.30    37.33 [+ or -] 9.37
LVMI fg/           36.75 [+ or -] 8.33    38.50 [+ or -] 9.55
  [m.sup.2.7])
AWD (ms)           138.2 [+ or -] 22.43   135.0 [+ or -] 21.60
MBP (mmHg)         79.6 [+ or -] 5.19     83.5 [+ or -] 4.65
LAA ([cm.sup.2])   10.66 [+ or -] 2.38    10.98 [+ or -] 2.23
LVEF(%)            69.81 [+ or -] 7.34    68.48 [+ or -] 7.84
FS (%)             38.07 [+ or -] 7.40    38.10 [+ or -] 6.50
LV (mm)            35.76 [+ or -] 2.79    36.27 [+ or -] 3.00

Variable           Hypert fn = 26)        p value

PWD fins)          39.74 [+ or -] 11.59   Normo/prehyp: 0.000
                                          Normo/hypert: 0.000
                                          Prehype/hypert 0.411
LVMI fg/           41.55 [+ or -] 7.93    Normo/prehyp: 0.118
  [m.sup.2.7])                            Normo/hypert: 0.256
                                          Prehyp/hypert: 0.026
AWD (ms)           131.6 [+ or -] 19.98   Normo/prehyp: 0.925
                                          Normo/hypert: 0.747
                                          Prehyp/hypert: 0.622
MBP (mmHg)         87.2 [+ or -] 7.47     Normo/prehyp: 0.188
                                          Normo/hypert: 0.026
                                          Prehyp/hypert: 0.256
LAA ([cm.sup.2])   12.21 [+ or -] 1.27    Normo/prehyp: 0.000
                                          Normo/hypert: 0.000
                                          Prehyp/hypert: 0.411
LVEF(%)            66.63 [+ or -] 7.94    Normo/prehyp: 0.234
                                          Normo/hypert: 0.120
                                          Prehyp/hypert: 0.413
FS (%)             36.59 [+ or -] 6.67    Normo/prehyp: 0.241
                                          Normo/hypert: 0.254
                                          Prehyp/hypert: 0.385
LV (mm)            36.66 [+ or -] 2.70    Normo/prehyp: 0.365
                                          Normo/hypert: 0.366
                                          Prehyp/hypert: 0.258

n = 515 Abbreviations:
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Title Annotation:articulo en ingles
Author:Chavez, Elibet; Gonzalez, Emilio F.; del Carmen Llanes, Maria; Llanes, Merlin Gari; Garcia, Yosvany
Publication:Colombia Medica
Date:Jul 1, 2013
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