Reference Values of Tricuspid Annular Peak Systolic Velocity in Healthy Pediatric Patients, Calculation of Z Score, and Comparison to Tricuspid Annular Plane Systolic Excursion




The tricuspid annular peak systolic velocity (TAPSV) is an echocardiographic measurement assessing right ventricular systolic function in children and adults. We determined the growth-related changes of the TAPSV to establish the references values for the entire pediatric age group. A prospective study was conducted of a group of 860 healthy pediatric patients (age 1 day to 18 years; body surface area [BSA] 0.14 to 2.30 m 2 ). We determined the effects of age, gender, and BSA on the TAPSV values. Stepwise linear multiple regression analysis was used to estimate the TAPSV from the age, BSA, and gender. A correlation of normal TAPSV with normal tricuspid annular plane systolic excursion values was performed. The TAPSV ranged from a mean of 7.2 cm/s (z score ± 2: 4.8 to 9.5 cm/s) in the newborn to 14.3 cm/s (z score ± 2: 10.6 to 18.6 cm/s) in the 18-year-old adolescent. The TAPSV values showed a positive correlation with age and BSA, with a nonlinear course. No significant difference was found in the TAPSV values according to gender. A significant correlation was found between the TAPSV and tricuspid annular plane systolic excursion values in our pediatric population. In conclusion, the z scores of the TAPSV values were calculated, and percentile charts were established to serve as reference data for patients with congenital heart disease.


New indexes for the assessment of right ventricular (RV) function have been published, including the tricuspid annular plane systolic excursion (TAPSE) and the tricuspid annular peak systolic velocity (TAPSV). The measurement of myocardial velocities using tissue Doppler imaging (TDI) is a promising approach for the quantitative assessment of longitudinal systolic ventricular performance. TDI offers a method of assessing systolic ventricular performance by measuring the velocities directly from the myocardium. Using pulsed wave-TDI to the tricuspid annulus, it is possible to measure its peak systolic velocity. The American and European guidelines for chamber quantification have recommended that the assessment of RV systolic function should be a part of the echocardiographic examination. The TAPSV, measured using pulsed wave-TDI, has been suggested as a good quantitative parameter of RV systolic function in adults. Studies of the pulsed wave-TDI measurements of the TAPSV have been reported in children. To date, the effects of age and body surface area (BSA) on normal TAPSV values have not been completely analyzed in healthy pediatric subjects. We undertook a prospective study to determine the normal values for the TAPSV from infancy to adolescence, correlated with age, gender, and BSA. The normal z score values for TAPSV were calculated.


Methods


The study subjects were selected from healthy patients referred to our cardiology service for evaluation of a heart murmur or a family history of heart disease. The study group consisted of 860 pediatric patients (431 males and 429 females) with normal echocardiographic findings. For the purposes of the present study, only echocardiograms with completely normal findings, with the exception of a patent foramen ovale with a diameter of ≤2 mm and trivial left/right shunting, were accepted. All patients with congenital heart disease, acquired heart disease, or chromosomal syndromes were excluded from the analysis. The subjects were examined in an at rest state without previous sedation. The infants were allowed to be bottle fed during the examination.


Echocardiography was performed using a commercially available echocardiographic system (Sonos iE33, Philips, Andover, Massachusetts) with transducers of 5-1, 8-3, and 12-4 MHz, depending on patient size. The images were recorded digitally and later analyzed by 1 of us (M.K.) using off-line software (Xcelera Echo, Philips Medical Systems, Eindhoven, The Netherlands).


Pulsed wave-TDI of the lateral tricuspid annulus was performed using transducer frequencies of 2.5 to 3.5 MHz, with spectral Doppler filters adjusted to a Nyquist limit of 15 to 20 cm/s. The minimal optimal gain setting was used. Doppler measurements were acquired with the subjects in the left lateral decubitus position during shallow respiration. Guided by the 4-chamber view, a 5-mm sample volume was placed at the lateral corner of the tricuspid annulus at the attachment of the anterior leaflet of the tricuspid valve. Care was taken to obtain an ultrasound scan as parallel as possible to the direction of the tricuspid annular motion. The peak annular velocities during systole were recorded and analyzed off-line. The resulting velocities were recorded for 3 to 5 cardiac cycles and averaged.


TAPSE was measured using 2-dimensional echocardiographically guided M-mode recordings from the apical 4-chamber view with the cursor placed at the free wall of the tricuspid annulus, as previously described. Care was taken to align the sample volume as vertically as possible with respect to the cardiac apex. Angle correction and respiratory gating were not used. The maximum TAPSE was determined by the total excursion of the tricuspid annulus from its highest position after atrial ascent to the lowest point of descent during ventricular systole. Portions of the TAPSE values used in the present analysis were included in a previous study. The investigation of both TAPSV and TAPSE was performed with the subject in a quiet state.


All data were measured from 3 well-trained observers (M.K., B.H., and B.N.) from 5 consecutive beats and averaged, as previously recommended. For data analysis, the Statistical Package for Social Sciences, version 18 (SPSS, Chicago, IL) was used. The data are presented as the mean ± 2 SD. In a first step, the correlation structure among age, BSA, and TAPSV was analyzed with Pearson’s correlation coefficient. A stepwise linear multiple regression analysis was used to estimate the TAPSV from the age, BSA, and gender. The inter- and intraobserver variability were computed for TAPSV, with an intraclass correlation coefficient of 0.97 (95% confidence interval 0.94 to 0.99; p <0.001) and 0.98 (95% confidence interval 0.96 to 0.99; p >0.001). Our intraobserver and interobserver variability were similar to those reported for TAPSV.


The present study complied with all institutional guidelines related to patient confidentiality and research ethics, including institutional review board approval (EK-Nr 23-048, ex. 10/11). There were no financial or other potentially conflicting relations to report.




Results


A representative image of the TAPSV in a neonate and a 15-year-old adolescent, respectively, with normal RV and left ventricular function is shown in Figure 1 . The study group encompassed neonates to adolescents (age 1 day to 18 years; BSA 0.14 to 2.30 m 2 ), including 83 newborns and 255 infants.




Figure 1


Apical 4-chamber view. White broken line indicates M-mode cursor placement at tricuspid lateral annulus. Representative image of TDI-measured TAPSV in neonate (A), 15-year-old adolescent (B), and M-mode measured TAPSE (C) in 16-year-old adolescent, with normal RV and left ventricular function. Red line indicates absolute longitudinal displacement measure; yellow arrow marks upper and lower measure points in centimeters (C) .


The TAPSV ranged from a mean of 7.2 cm/s (z score ± 2: 4.8 to 9.5 cm/s) in the newborn to 14.3 cm/s (z score ± 2: 10.6 to 18.6 cm/s) in the 18-year-old adolescent. Significant correlations were found between TAPSV and age (r = 0.700, p <0.001; Figure 2 ) and TAPSV and BSA (r = 0.720, p <0.001; Figure 3 ) . The TAPSV values increased from neonates to adolescents nonlinearly. The stepwise multiple regression analysis revealed that 64.9% of the variance in TAPSV could be explained by age alone. The addition of BSA (p = 0.003, partial correlation r = 0.10) allowed for 65.3% of the variance in TAPSV to be predicted. These results showed that adding BSA resulted in only a minor increase in the explained variance (0.4%). No additional information was found by adding gender (p = 0.960, partial correlation r = −0.002). The regression equation relating age and TAPSV is as follows:


TAPSVpred=7.353+3.157*AGE0.388*AGE
TAPSV pred = 7.353 + 3.157 * AGE − 0.388 * AGE



Figure 2


Age versus mean TAPSV value ± 2 SD and ± 3 SD z scores for age versus TAPSV. Black solid line indicates mean; black dashed line with circles and black dashed line with squares indicate z score ± 2 SD and z score ± 3 SD, respectively.



Figure 3


BSA versus mean TAPSV value ± 2 SD and 3 SD z scores for BSA versus TAPSV. Black solid line indicates mean; black dashed line with circles and black dashed line with squares indicate z score ± 2 SD and z score ± 3 SD, respectively.


To calculate the z scores, the residual SD of 1.57 was used. Age-related z scores ± 2 SD and ± 3 SD for TAPSV are listed in Table 1 . Graphs demonstrating the mean value ± 2 SD and ± 3 SD z scores for TAPSV versus age and TAPSV versus BSA are presented in Figures 2 and 3 , respectively.



Table 1

Classification table for TAPSV values of our healthy subjects



















































































































































































































































































































































Age Subjects (n) TAPSV BSA
Mean −2 SD +2SD −3 SD +3 SD Mean Minimum Maximum
1 month 83 7.2 4.8 9.5 3.6 10.7 0.22 0.14 0.34
2 months 34 8.5 6.5 10.5 5.5 11.5 0.25 0.22 0.31
3 months 18 8.7 6.3 11 5.1 12.2 0.27 0.19 0.33
4 months 28 9.1 6.3 11.8 4.9 13.2 0.29 0.19 0.37
5 months 11 9.8 6.4 13.2 4.7 14.9 0.32 0.24 0.38
6 months 9 9.1 7.5 10.6 6.7 11.4 0.31 0.27 0.4
7 months 18 9.5 7.3 11.8 6.1 12.9 0.35 0.28 0.41
8 months 8 9.7 6.4 12.9 4.7 14.6 0.37 0.32 0.45
9 months 9 9.9 6.4 13.4 4.7 15.1 0.39 0.34 0.44
10 months 13 10.6 8.1 13.1 6.9 14.4 0.4 0.28 0.48
11 months 11 11.1 8.1 14.1 6.6 15.6 0.37 0.24 0.47
12 months 13 11 7.7 14.4 6 16.1 0.39 0.3 0.47
2 years 55 11.4 8.7 14 7.4 15.4 0.51 0.37 1.02
3 years 34 11.7 8.3 15.1 6.6 16.9 0.58 0.47 0.7
4 years 38 12.2 9.3 15 7.9 16.4 0.64 0.4 0.82
5 years 43 12.3 9.4 15.2 8 16.6 0.72 0.56 0.84
6 years 43 12.4 9.6 15.3 8.2 16.7 0.79 0.67 1
7 years 33 12.6 9.7 15.4 8.3 16.8 0.87 0.67 1.18
8 years 40 12.7 9.8 15.6 8.3 17 0.95 0.74 1.39
9 years 25 12.5 9.5 15.5 8 17.1 1.02 0.77 1.47
10 years 23 12.8 10.4 15.2 9.2 16.4 1.22 1.08 1.47
11 years 28 13.1 10.3 15.9 9 17.3 1.31 1 2
12 years 33 12.9 9.9 16.4 7.6 18.2 1.42 1.03 1.75
13 years 25 13.2 10.7 15.8 9.4 17.1 1.51 1.06 1.87
14 years 29 13.3 10 17.7 6.6 19.9 1.57 0.83 1.98
15 years 37 13.8 10.5 17.1 8.9 18.8 1.66 1.37 2.07
16 years 37 14.1 10.1 18.1 8.1 20.1 1.7 1.3 2.06
17 years 43 14 10.1 17.9 8.2 19.8 1.79 1.45 2.3
18 years 39 14.3 10.7 17.9 8.9 19.8 1.71 1.4 2.05

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Dec 15, 2016 | Posted by in CARDIOLOGY | Comments Off on Reference Values of Tricuspid Annular Peak Systolic Velocity in Healthy Pediatric Patients, Calculation of Z Score, and Comparison to Tricuspid Annular Plane Systolic Excursion

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