|
Indian Pediatr 2015;52:939 -945 |
 |
Oscillometric Blood
Pressure in Indian School Children: Simplified Percentile Tables
and Charts
|
Rajiv Narang, Anita Saxena, S Ramakrishnan,
#SN Dwivedi and
*Arvind Bagga
From the Departments of Cardiology, #Biostatistics
and *Pediatrics, All India Institute of Medical Sciences, New
Delhi, India.
Correspondence to: Dr Anita Saxena, Professor,
Department of Cardiology,
All India Institute of Medical Sciences, New Delhi 110 029, India.
Email: [email protected]
Received: January 29, 2015;
Initial review: April 30, 2015;
Accepted: August 28, 2015.
|
Background: Data on blood pressure recorded by oscillometric method
is limited.
Objective: To develop simplified tables and
charts of blood pressure recorded by oscillometric method in children.
Design: Cross-sectional.
Setting: Ballabhgarh, Haryana.
Participants: Healthy school-children.
Main outcome measures: Blood pressure measured by
oscillometric method.
Results: The study group included 7,761 children
(58.4% males) with mean (SD) age of 10.5 (2.8) years. Age and gender
were used to create simplified percentile tables and charts, as height
was seen to explain very little variability of either systolic or
diastolic blood pressure. Formulae for SBP and DBP thresholds for
hypertension were derived as [110 + 1.6 x age] and [79 + 0.7 x age],
respectively, with 1 mm Hg to be added for females. 95th percentile
values suggest simple levels indicating hypertension to be 120/80,
125/85 and 135/90 at ages of 5, 10 and 15 years, respectively.
Conclusions: Simplified reference tables and
charts, formulae for SBP and DBP, and simple convenient thresholds may
be useful for rapid screening of hypertension using oscillometric
method.
Keywords: Assessment, Hypertension, Oscillometry, Screening.
|
I n recent years, need for regular and accurate
recording of blood pressure in children is being stressed upon, since
hypertension is often underdiagnosed in them [1-3]. There have been a
number of studies from different parts of the world to determine normal
blood pressure values for children [4-6]. The complexity of current
standard tables is mainly due to inclusion of height adjustment and
height percentile needs to be known beforehand. This is in stark
contrast to blood pressure reference level in adults, where one value
has been given for all people, irrespective of age, gender, height,
weight, waist circumference etc, although these factors affect the blood
pressure in adults also.
Oscillometric measurement of blood pressure has the
advantage of ease, accuracy, reliability, reproducibility and freedom
from observer bias [8-10]. Moreover, it avoid the controversy regarding
the use of phase 4 versus phase 5 Korotkoff sounds as indicator
of diastolic blood pressure. Hence, this method is regarded as a
promising approach for BP assessment in children. Although, oscillometry
is now widely used for blood pressure measurement, data on its reference
values in normal children is limited. In the present study, we aim to
provide normal reference values for blood pressure in Indian children,
measured using oscillometric method, and attempt to simplify these
reference values so that they can be used more widely.
Methods
This cross-sectional epidemiological study was
conducted in a rural area in Ballabhgarh, Haryana, as part of a
rheumatic heart disease screening program [12]. Twenty-eight villages
with a total population of 85,000 are covered under a government-funded
Comprehensive Rural Health Services Project (CRHSP) running in this
area. The estimated number of children aged 5 to15 years attending the
various schools under this project was approximately 20,000. For this
study, we used a cluster sampling method. We randomly selected ten of
these 28 villages and enrolled all the children studying in both
government and private schools of these ten villages. A total of 8,445
children were enrolled during a 2-year period (enrollment rate of 42%).
Consent to take part in the study was taken from the parents. Parents of
only two children refused to take part in the study. Study was approved
by the Institutional ethics committee of AIIMS. Children with known
major hepatic, renal, cardiac or respiratory diseases were excluded.
Children with heart rate below 50 or above 150 and those with any
missing data were excluded. No child was excluded based on blood
pressure reading. Finally, 7761 children were included in this analysis.
During the survey, paramedical staff documented
demographic and anthropometric data, including height, weight and
waist-circumference. Children sat and rested for 5 minutes before blood
pressure measurement. Blood pressure was measured in sitting position by
trained field investigators or research fellows using Omron HEM 7080
automatic oscillometric instruments. Field investigators were trained
for BP measurements specifically for this study. Their measurement
variability had to be less than 5 mm Hg to be satisfactory. The
instruments were calibrated and regularly checked against mercury
sphygmomanometer for accuracy. Cuff sizes of 10.5×18.5 and 13×30 cm
provided by same company as instrument were used for younger and older
children, respectively. Children with abnormal blood pressure readings
underwent repeat blood pressure measurements by research physicians.
Method of defining hypertension and its stages was
same as that used by the National High Blood Pressure Education Program
Working Group [4]. Accordingly, ³90th
percentile is considered normal blood pressure, while values
³90th and <95th
percentile are taken as high normal or prehypertension. Values
³95th percentile and
<99th percentile plus 5 mm Hg indicate stage 1 hypertension, while those
³99th
percentile plus 5 mm Hg are stage 2 hypertension. Hence, 90th and 95th
percentiles are thresholds for prehypertension and hypertension (stage
1), respectively, while 5 mm Hg above 99th percentile is threshold for
stage 2 hypertension.
Statistical analysis: Univariate analysis between
blood pressure and age, height, weight and waist-circumference was
performed with Pearson’s correlation method, and gender difference were
tested with Student’s t-test. P-values less than 0.05 were
regarded as significant. Multiple regression analysis was performed to
determine independent predictors. Age- and gender-specific percentile
curves for systolic blood pressure (SBP) and diastolic blood pressure
(DBP) were generated using LMS (Lamda-Mu-Sigma) method. Statistical
package R version 3.1.2 was used for analyses (http://www.r-project.org/).
Results
A total of 7761 children (58.4% males) with a mean
(SD) age 10.5 (2.8) years were studied. The mean age did not differ
between males and females. Table I shows anthropometric
and blood pressure parameters of children grouped by age and gender. SBP
and DBP progressively increased with age though increase was attenuated
in males after 10 years of age. DBP was significantly higher in females
after 10 years of age.
TABLE I Anthropometric and Hemodynamic Parameters of Children by Age and Gender
Age (y) |
N |
Height |
Weight |
BMI |
Waist |
SBP |
DBP |
Girls |
|
|
|
|
|
|
|
5 |
68 |
110.5 (5.2) |
17.9 (3.0) |
14.6 (1.7) |
45.3 (5.0) |
99.8 (10.2) |
66.9 (10.2) |
6 |
237 |
113.7 (6.5) |
18.6 (3.7) |
14.6 (2.2) |
45.4 (6.1) |
102.6 (10.7) |
67.4 (9.2) |
7 |
292 |
117.0 (6.3) |
19.8 (3.7) |
14.4 (2.0) |
44.9 (5.9) |
103.0 (10.7) |
67.8 (9.8) |
8 |
334 |
123.5 (8.1) |
23.0 (5.8) |
15.0 (2.6) |
47.3 (7.2) |
105.4 (10.9) |
69.6 (9.2) |
9 |
358 |
128.1 (7.5) |
25.5 (6.2) |
15.5 (2.7) |
48.0 (6.5) |
106.8 (11.1) |
69.9 (9.7) |
10 |
353 |
132.6 (7.8) |
27.8 (6.8) |
15.6 (2.6) |
49.6 (6.6) |
107.2 (10.5) |
69.8 (9.4) |
11 |
310 |
139.2 (8.8) |
32.2 (8.5) |
16.4 (2.9) |
51.8 (7.4) |
110.6 (10.6) |
71.5 (9.7) |
12 |
352 |
144.5 (8.0) |
34.57 (2.9) |
16.5 (2.9) |
52.5 (6.4) |
111.5 (10.9) |
71.6 (9.7) |
13 |
358 |
149.8 (7.5) |
39.9 (8.7) |
17.7 (3.2) |
55.7 (7.9) |
114.0 (11.9) |
72.7 (10.4) |
14 |
293 |
152.5 (7.2) |
43.2 (7.8) |
18.5 (2.9) |
57.0 (7.1) |
114.3 (11.6) |
74.1 (9.5) |
15 |
275 |
153.7 (6.5) |
44.6 (6.9) |
18.9 (2.9) |
57.8 (7.3) |
115.0 (10.5) |
74.8 (9.2) |
Boys |
|
|
|
|
|
|
|
5 |
132 |
110.9 (5.8) |
17.8 (2.8) |
14.4 (1.8) |
44.7 (4.8) |
103.3 (10.0) |
67.3 (9.7) |
6 |
302 |
113.5 (6.4) |
19.1 (3.6) |
14.7 (1.9) |
46.0 (5.8) |
102.8 (10.4) |
67.7 (9.3) |
7 |
377 |
118.1 (6.4) |
20.7 (3.7) |
14.7 (1.8) |
46.7 (5.9) |
104.6 (10.0) |
67.8 (9.7) |
8 |
431 |
124.0 (7.4) |
23.7 (5.8) |
15.2 (2.4) |
48.5 (7.3) |
105.2 (10.5) |
68.7 (9.4) |
9 |
419 |
128.6 (7.6) |
25.8 (6.0) |
15.5 (2.4) |
49.9 (6.9) |
106.8 (10.3) |
70.0 (9.4) |
10 |
563 |
133.1 (8.0) |
28.0 (6.9) |
15.7 (2.6) |
50.8 (7.7) |
107.0 (10.6) |
69.9 (9.6) |
11 |
463 |
138.1 (8.2) |
31.0 (7.9) |
16.1 (2.7) |
53.0 (8.2) |
107.7 (10.4) |
70.1 (0.7) |
12 |
565 |
143.4 (8.9) |
34.8 (8.6) |
16.8 (3.1) |
55.2 (8.8) |
109.2 (10.9) |
69.9 (10.0) |
13 |
465 |
150.7 (9.8) |
39.5 (9.7) |
17.2 (3.1) |
57.9 (9.3) |
111.4 (11.5) |
71.0 (9.8) |
14 |
412 |
158.1 (9.2) |
45.0 (11.1) |
17.8 (3.3) |
60.9 (10.3) |
113.8 (12.4) |
71.5 (10.3) |
15 |
429 |
162.9 (8.7) |
47.9 (10.0) |
18.0 (3.3) |
61.1 (9.3) |
114.2 (11.8) |
71.0 (9.8) |
Values in mean (SD). BMI: body mass index; SBP: systolic
blood pressure; DBP: diastolic blood pressure. |
Univariate analysis showed a weak but statistically
significant correlation of height and weight with blood pressure.
Multiple regression analysis was performed with age, gender, height,
weight and waist-circumference as predictor variables. Age, gender,
height and weight but not waist were found to be independent predictor
of systolic blood pressure. Age, height and weight had a positive effect
on SBP and female gender was associated with higher SBP. For DBP,
gender, weight and waist circumference, but not age and height, were
found to be independently predictors. DBP directly correlated with
weight and waist circumference and was higher in females.
TABLE II Percentiles of Systolic and Diastolic Blood Pressure by Age and Gender
|
Systolic blood pressure |
Diastolic blood pressure |
|
Girls |
Girls |
Age |
p1 |
p5 |
p10 |
p25 |
p50 |
p75 |
p90 |
p95 |
p99 |
p1 |
p5 |
p10 |
p25 |
p50 |
p75 |
p90 |
p95 |
p99 |
5 |
76 |
83 |
87 |
93 |
100 |
108 |
114 |
118 |
125 |
45 |
51 |
55 |
60 |
67 |
73 |
79 |
82 |
89 |
6 |
77 |
84 |
88 |
95 |
102 |
109 |
116 |
120 |
127 |
46 |
52 |
55 |
61 |
67 |
74 |
80 |
83 |
90 |
7 |
79 |
86 |
90 |
96 |
103 |
111 |
117 |
121 |
129 |
46 |
53 |
56 |
62 |
68 |
75 |
80 |
84 |
91 |
8 |
80 |
87 |
91 |
98 |
105 |
112 |
119 |
123 |
130 |
47 |
53 |
57 |
63 |
69 |
75 |
81 |
85 |
91 |
9 |
82 |
89 |
93 |
99 |
107 |
114 |
120 |
124 |
132 |
48 |
54 |
57 |
63 |
70 |
76 |
82 |
86 |
92 |
10 |
83 |
90 |
94 |
101 |
108 |
115 |
122 |
126 |
133 |
48 |
55 |
58 |
64 |
70 |
77 |
83 |
86 |
93 |
11 |
85 |
92 |
96 |
103 |
110 |
117 |
124 |
128 |
136 |
49 |
55 |
59 |
65 |
71 |
78 |
83 |
87 |
94 |
12 |
86 |
94 |
98 |
104 |
112 |
119 |
126 |
130 |
138 |
50 |
56 |
59 |
65 |
72 |
78 |
84 |
88 |
95 |
13 |
87 |
95 |
99 |
106 |
113 |
121 |
128 |
132 |
140 |
50 |
57 |
60 |
66 |
73 |
79 |
85 |
89 |
96 |
14 |
89 |
96 |
100 |
107 |
114 |
122 |
129 |
133 |
141 |
52 |
58 |
61 |
67 |
74 |
80 |
86 |
90 |
97 |
15 |
89 |
97 |
101 |
108 |
115 |
123 |
129 |
133 |
141 |
53 |
59 |
63 |
68 |
75 |
81 |
87 |
97 |
|
|
Boys |
Boys |
5 |
79 |
86 |
90 |
96 |
103 |
109 |
116 |
119 |
126 |
46 |
52 |
55 |
61 |
67 |
74 |
79 |
83 |
89 |
6 |
80 |
87 |
90 |
97 |
103 |
110 |
116 |
120 |
127 |
46 |
52 |
56 |
61 |
68 |
74 |
80 |
83 |
90 |
7 |
81 |
88 |
91 |
97 |
104 |
111 |
117 |
121 |
128 |
46 |
53 |
56 |
62 |
68 |
75 |
80 |
84 |
90 |
8 |
81 |
88 |
92 |
98 |
105 |
112 |
119 |
122 |
129 |
47 |
53 |
57 |
62 |
69 |
75 |
81 |
85 |
91 |
9 |
82 |
89 |
93 |
99 |
106 |
113 |
120 |
123 |
131 |
47 |
54 |
57 |
63 |
69 |
76 |
82 |
85 |
92 |
10 |
83 |
90 |
94 |
100 |
107 |
114 |
121 |
124 |
132 |
48 |
54 |
58 |
63 |
70 |
78 |
82 |
86 |
93 |
11 |
83 |
90 |
94 |
101 |
108 |
115 |
122 |
126 |
133 |
48 |
54 |
58 |
63 |
70 |
77 |
83 |
86 |
93 |
12 |
84 |
91 |
95 |
102 |
109 |
117 |
124 |
128 |
135 |
48 |
54 |
58 |
64 |
70 |
77 |
83 |
87 |
93 |
13 |
85 |
93 |
97 |
104 |
111 |
119 |
126 |
130 |
138 |
48 |
55 |
58 |
64 |
71 |
77 |
84 |
87 |
94 |
14 |
86 |
94 |
98 |
105 |
113 |
121 |
128 |
132 |
141 |
46 |
55 |
58 |
64 |
71 |
78 |
84 |
88 |
95 |
15 |
87 |
95 |
99 |
106 |
115 |
123 |
130 |
135 |
143 |
48 |
55 |
59 |
64 |
71 |
78 |
84 |
88 |
95 |
p1 to p99 indicate 1st to 99th percentile. |
Addition of height to age and gender in multivariable
regression model lead to only a minimal improvement in variance of SBP
explained (R 2 of 0.136
versus 0.11). For DBP, the variance explained was much poorer. The
R-squared was only 0.03 with age and gender in the model and 0.04 after
addition of height. Similar conclusion was reached on comparing AIC and
BIC values. Performing stepwise regression, polynomial regression and
adding interactions did not improve the model for either SBP or DBP.
Similar results were obtained when height percentile was used. Moreover,
there was close and almost linear correlation between age and height
(r=0.88, 0.88 and 0.87 for whole group, males and females, respectively,
p<0.00001 for each). In view of these results and to simplify the
tables, percentile were prepared for age and gender only, without
incorporating height adjustment. Table 2 and
Figures 1 & 2 shows these percentile values. Since
definition of hypertension depends on 90th, 95th and 99th percentiles,
annotated curves for these percentiles of SBP and DBP for boys and girls
are shown (Fig. 3). A review of 95th percentile values
suggest levels indicating hypertension to be 120/80, 125/85 and 135/90
at ages of 5, 10 and 15 years, respectively.
 |
Fig. 1 Systolic blood pressure (SBP)
percentiles for boys and girls.
|
 |
Fig. 2 Diastolic blood pressure (DBP)
percentiles for boys and girls.
|
 |
Fig. 3 Annotated 90th, 95th and 99th
percentile curves for systolic (SBP) and diatolic (DBP) for boys
and girls. Normal blood pressure is below 90th percentile,
prehypertension is from 90th to below 95th percentile, stage 1
hypertension is from 95th to below 99th percentile plus 5 mm Hg,
while stage 2 hypertension starts from 99th percentile plus 5 mm
Hg.
|
Using coefficients obtained from regression analysis,
formulae were derived for quick estimation of hypertension thresholds
(i.e. 95th percentile) for a given age. For SBP, threshold for
hypertension (in mm Hg) equaled [110 + 1.6 × age] while that for DBP was
[79 + 0.7 × age]. Both values are to be incremented by 1 mm Hg for
females. To derive other thresholds, means of the differences between
percentiles at different ages for both genders was determined. For SBP,
the mean (SD) difference between 90th and 95th percentile was 4(0) mm
Hg, while that between 95th and 99th percentile was 8(1) mm Hg.
Corresponding values for DBP were 4(0) and 7(0), respectively. Threshold
for prehypertension was 4 mm Hg below hypertension thresholds for both
SBP and DBP. Threshold for stage 2 hypertension was 13 and 12 mm Hg
above hypertension thresholds for SBP and DBP, respectively.
Discussion
This study shows that blood pressure increases with
age, though the rise varied at different ages and differed in boys
versus girls, especially with onset of adolescence. Univariate and
multivariate analysis showed that, though height is significantly
correlated with both systolic and diastolic blood pressures, its
contribution is small. Hence, simplified blood pressure tables and
charts based on age and gender only are presented here.
There are several limitations of our study. Ideally,
blood pressure should be recorded on serial follow-up of a cohort of
children. However, this design will require much longer period of study
and more resources. Almost all similar studies have compared one-time
blood pressure in children of different ages. Variability or concordance
values during the training period were not recorded. Cuff-sizes were not
strictly as per Task Force recommendations, though our method of using
only two cuffs was practical and may make the process of BP recording
simpler. Although oscillometric instruments were regularly checked
against mercury sphygmomanometer, a rigorous standardization protocol
was not used. We also could not explain the lack of smooth progression
of blood pressure with age, though onset of puberty may contribute to an
altered pattern. There is a possibility of regression dilution due to
measurement error as the cause of deviant univariate analysis of height
versus blood pressure. The probability of measurement error is
also there due to lack of strict internal validity.
Our findings are similar to those of Jackson, et
al. [13] who reported blood pressure centiles from UK and presented
charts based on age and gender only. They found weight to have a large
and positive effect on blood pressure while height had a small negative
effect. They also found that height and weight explained only 8%
variance of systolic and even lower (0.5%) variance of diastolic blood
pressure. Others have also attempted to develop simple blood pressure
values for easy application. Kaelber and Pickett developed a simple BP
table from the standard tables of the Fourth report [7]. Their simple
blood pressure table had single blood pressure threshold values for each
age and gender, thereby reducing the number of values from 476 to 64.
Zuijdwijk, et al. [14] studied the sensitivity and specificity of
these tables. They categorized patients as normotensive and hypertensive
based on standard and simple tables in a retrospective cohort study. The
sensitivities were 100% and 100% and specificities were 61% and 81% for
identification of hypertension and abnormal blood pressure values,
respectively. They concluded that this simple table is an effective
screening tool. This is the first study from South Asian region to
attempt simplification of hypertension threshold values.
Detection and control of hypertension in children has
implications in terms of long-term cardiovascular morbidity and
mortality [15]. Tracking of blood pressure from childhood to adulthood
has been documented [11,16]. Elevated BP in children has also been
linked to atherosclerotic plaques in adults [17,18]. Blood pressure
screening and treatment in adolescents have been found to be
cost-effective [19]. In adults, cut-off values were given for different
stages of blood pressure by Sixth Joint National Committee (JNC-6)
guidelines [20]. JNC-7 simplified these and recommended 120/80, 140/90
and 160/100 as thresholds for prehypertension, stage 1 hypertension and
stage 2 hypertension, respectively [21]. All these are simple, round
values which are easy to remember and hence easy to apply, aiding in
widespread screening and treatment of hypertension in adults. These are
used despite the fact that the blood pressure in adults also depends on
age, gender, height, weight and waist circumference, and percentile
curves for adults do not give only round values [22-25]. Similar simple,
convenient values need to be developed for children so that screening of
hypertension becomes easier and more practical.
Our study provides current distribution of systolic
and diastolic blood pressure in Indian children as recorded using
oscillometric method, which is fast becoming the universal mode of
recording of these hemodynamic parameters. Simplified percentile tables
and charts are developed using age and gender only. These methods are
easier to apply than standard tables and may be used as screening tools
to improve early detection and categorization of hypertension in
children, after validation in clinical settings.
Acknowledgements: Gourav Kanogiya and
Ravindra Singh Mehta, Research Staff, for helping with the study.
Contributors: RN: contributed to analysis,
interpretation and manuscript preparation; AS: concept and design, data
acquisition, interpretation, final approval; SR: supervision and
intellectual content; SND: statistical analysis; AB: editing manuscript
for important intellectual content.
Funding: Restricted funding from Indian
Council of Medical Research. Competing interest: None
stated.
What is Already Known?
•
Normal blood pressure standard
in children is difficult to apply in busy clinics.
What This Study Adds?
•
Normal blood pressure as measured by oscillometric method in
Indian children is presented as simplified tables, charts,
formulae and convenient thresholds.
|
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