ORIGINAL  
Niger J Paed 2013; 40 (1):55 –59  
Animasahun BA  
Njokanma OF  
Nwodo UP  
Relationship of age, anthropometry  
and haemoglobin concentration with  
echocardiographic findings in  
Nigerian children with sickle cell  
anaemia.  
Omokhodion SI  
DOI:http://dx.doi.org/10.4314/njp.v40i1,10  
Accepted: 30th April 2012  
Abstract Background: Assessment  
of the structural and functional ef-  
fects of sickle cell anaemia (SCA)  
on the heart can be done using echo-  
cardiography. There has been no  
agreement on which indicator of  
body size (weight, height, and body  
surface area (BSA)) or age in chil-  
dren should be used to relate to and  
correct echocardiographic measure-  
ments.  
Aim: To correlate the echocardio-  
graphic findings of children with  
SCA aged one to fifteen years in  
steady state with their age, anthro-  
pometry and haemoglobin concen-  
tration.  
Methods: A prospective study car-  
ried out at the Lagos University  
Teaching Hospital (LUTH), be-  
tween May and October 2005. The  
subjects were 60 paediatric patients  
attending the LUTH SCA outpatient  
clinic and 60 age, sex and socio-  
economic matched controls. Their  
height, weight, and echocardio-  
graphic parameters were measured  
and their BSA and haemoglobin  
level were determined.  
BA Animasahun  
Njokanma OF  
(
)
Results: The direct echocardio-  
graphic measurement (AO, LA,  
LVPW, EDD, ESD, IVS) and LVM  
each increased progressively with  
body weight, height, body surface  
area and age in both subjects and  
controls (r > 0.3, p < 0.001 in each  
case). Multivariate analysis showed  
that height correlated significantly  
with AO, ESD, EDD and LVPW in  
the subjects. All the parameters  
except age were significantly corre-  
lated with LVM both in univariate  
and multivariate analysis.  
Conclusion: Echocardiographic  
parameters in SCA patients are sig-  
nificantly correlated with anthro-  
pometric indices and age. Our data  
suggest best correlation with height  
in these subjects.  
Department of Paediatrics and  
Child Health  
Lagos State University College of  
Medicine  
Ikeja. Lagos. Nigeria.  
Tel: +2348037250264  
Email: deoladebo@yahoo.  
Nwodo UP  
Premier Specialist Hospital  
Victoria Island, Lagos  
Phone number: 2348033002402  
Email: rolinwodo@doctor.com  
Omokhodion SI  
Department of Paediatrics  
University College Hospital  
Ibadan, Nigeria.  
Tel: 2348023151475  
Email: samodion@yahoo.com  
Keywords: Sickle cell anaemia,  
Echocardiographic parameters, An-  
thropometry, Steady state  
.
Introduction  
with age and weight.  
Sickle cell anaemia affects practically every system in  
the body and may sometimes present as crisis situations.  
Some of the chronic manifestations involve the cardio-  
vascular system1-6 as a result of chronic anaemia and re-  
In conformity with the previous studies, Sutton, Pickard,  
Oldershaw et al also documented increased cardiac  
dimensions with age in a group of 78 normal children  
aged one to 12 years.  
9
current crisis.  
Different studies in normal children  
1
0
have shown the fact that cardiac dimensions7-8increase  
Oladokun in her study of 183 normal children aged 1  
to 12 years in Ibadan noted that all the direct echocar-  
diographic measurements in her study correlated  
strongly with age, weight and body surface area (BSA).  
Among the derived parameters, Left ventricular mass  
(LVM) was also highly correlated with these parameters  
but Fractional Shortening (FS), Ejection Fraction (EF)  
and LA/AO ratio showed a weak negative correlation.  
The BSA correlated best with the echocardiographic  
parameters studied, followed by height, weight and then  
age. These findings were consistent with the observa-  
with age, weight, height and body surface area  
8
Oberhansli, Brandon, Lacourt et al studied a cohort of  
2
1 normal babies sequentially by M-mode echocardi-  
ography during the first year of life and correlated their  
results with age, weight and length and found that the  
end diastolic and end systolic diameters of the left ven-  
tricle, the diameters of the left atrium (LA), the aorta  
(
AO) as well as septal and left ventricular posterior wall  
thickness (IVS and LVPW) followed a linear correlation  
5
6
1
1
12  
tions made by So1l3linger et al Henry et al and Roge,  
ment (POD) and were matched for age and sex and so-  
cioeconomic class.  
Silverman, Hart.  
There have also been reports o5-f6, 1c4a-1r5diac dimensions in  
The Transthoracic echocardiographic studies were per-  
formed on each using a Hewlett-Packard SONOS 500  
machine and transducer with a frequency of 5MHz. A  
baseline two-dimensional echocardiographic examina-  
tion was carried out on each subject to ascertain normal  
intracardiac segmental anatomy. The M-mode recording  
was derived with the simultaneous recording of a 2D –  
mapping to ensure precision in location and direction of  
the M-mode cursor. Cardiac measurements were ob-  
tained according to the recommendations of the commit-  
tee on m-mode standa6rdization of the America Society  
sickle cell anaemia patients.  
The findings are  
similar to reports from normal patients. Balfour, Covitz,  
5
Doris et al in a study comparing 124 patients with  
HbSS referred to a tertiary centre in the USA with 78  
healthy controls noted that the left ventricular and left  
atrial dimensions in the patient group increased with  
age. This study also found a linear relationship between  
the cardiac dimensions namely the left atrial dimension,  
left ventricular EDD, left ventricular wall dimension and  
the left ventricular mass and the BSA.  
1
of Echocardiography. These include aortic root dimen-  
6
Similarly, Lester et al in 1990 evaluated 44 children  
sion (AO), left atrial dimension (LA), left ventricular  
end diastolic diameter [LVEDD], left ventricular end  
systolic diameter [LVESD], interventricular septal thick-  
ness [IVS], left ventricular posterior wall thickness  
[LVPW] . The left ventricular ejection fraction (EF),  
fractional shortening (FS) and left ventricular mass were  
derived from the m-mode measurements. Haemoglobin  
concentration was determined using oxy-haemoglobin  
method.  
with HbSS aged 2 months to 18 years using M-mode  
echocardiography and reported the relationship between  
cardiac dimensions, weight and BSA. The study found a  
direct linear relationship between the left ventricular  
EDD, left ventricular mass, aortic root dimensions, left  
atrial dimensions and the weight of the patients. The  
dimensions obtained in the study were also observed to  
increase with age. Simila1r4 findings have also been docu-  
mented by Covitz et al who found that the right and  
left ventricular diastolic dimensions, left ventricular free  
wall and septal thickness, left atrial dimension, and aor-  
tic root dimensions were significantly and directly corre-  
lated with BSA.  
Height was measured to the nearest 0.5cm with the child  
barefoot, standing erect with the heels together against  
the wall, and looking st1r7aight ahead with the back  
against the graduated wall . The height was read with a  
wooden ruler resting on the scalp and agains1t7the wall.  
Length was measured using an infantiometer. Subjects  
were weighed standing barefoot, wearing only their un-  
derware using a Seca® scale. Weight was read to the  
nearest 0.1kg. The scale was calibrated with a standard  
In all the above studies, a multivariate analysis using  
these parameters were never carried out hence the need  
for this study which is aimed at documenting the pa-  
rameter which best correlate with echocardiographic  
parameters.  
th  
weight after every 10 measu17rement or whenever it was  
moved from place to place. All the participants could  
walk.  
Subjects and methods  
BSA was estimated using a body s7urface area normo-  
1
gram based on weight and height. Each subject and  
This was a prospective, cross sectional and analytical  
study carried out at the Lagos University Teaching Hos-  
pital (LUTH), Idi-Araba, Nigeria as part of a large study  
between May 2005 and October 2005. The subjects in-  
cluded 60 paediatric patients attending the LUTH sickle  
cell anaemia outpatient clinic and were consecutively  
recruited. They had haemoglobin genotype ‘SS’ con-  
firmed with haemoglobin electrophoresis (as docu-  
mented in the file) and were aged 12 months to 15 years.  
They were in steady state at the time of recruitment.  
control also had venous blood sample taken for estima-  
tion of haemoglobin level.  
Data was analyzed using Microsoft Excel program sup-  
plemented by Megastat statistical package. Mean, stan-  
dard deviation and other parameters were generated as  
necessary for continuous data. The subjects and controls  
included were compared using student t-test for continu-  
ous data, and chi-square test for discrete data. The Pear-  
son correlation coefficient r was calculated to determine  
the relationship between the cardiac measurements, age,  
weight, height, body surface area, as well as haemoglo-  
bin concentration. Univariate and multivariate correla-  
tion analysis was used to study the relationships between  
selected continuous sets of data. The coefficients of cor-  
relation and associated p-values were derived. Statisti-  
cal significance was set at p-value < 0.05.  
Inclusion criteria for the controls included: Haemo-  
globin AA, absence of congenital or acquired heart de-  
fects, absence of respiratory or renal disease, and ab-  
sence of protein energy malnutrition and haemoglobin  
concentration of 10g/l or higher.  
Patients with congenital or acquired heart disease, renal  
disease and hypertension were excluded from the study.  
Healthy controls were from the Community Health Out-  
patient and Well baby clinics and healthy children at-  
tending other clinics at the Paediatric outpatient depart-  
Ethical clearance for the study was obtained from the  
ethical committee of the Lagos University Teaching  
Hospital and informed consent was sought from parent  
or care givers of subjects and controls before enrolment  
into the study.  
5
7
Results  
there was significant linear relationship between haemo-  
globin level (Hb) and the following echocardiographic  
parameters namely; AO, EDD, ESD, in the controls.  
In addition, IVS, FS, EF, and LA/AO were inversely  
related to haemoglobin level in the controls but the  
strength of the relationship was not statistically signifi-  
cant. Similarly a weak and non-significant inverse rela-  
tionship was observed between most of the echocardio-  
graphic measurements (LA, LA/AO, EDD, ESD,  
LVPW, FS, EF, and LVM) and the haemoglobin level in  
the subjects (r < - 0.1, p > 0.3).  
A total of 120 children were recruited into the study. Of  
this number, 60 were test subjects in the 12 months to 15  
years age bracket (Mean = 95.41 + 49.06 months) con-  
firmed to have genotype SS by haemoglobin electropho-  
resis. They were all in steady state. The control group  
consisted of 60 children within the same age bracket  
(mean = 95.4 + 50.92 months) (t = 0.04, p = 0. 96) who  
had haemoglobin genotype AA. The mean (SD) haemo-  
globin level in the subjects was significantly lower than  
in the controls (77.23 + 12.88g/L Vs 121 + 16.09g/L, p<  
0
.001)  
Multiple regression  
Correlation of echocardiographic measurements with  
weight, height, body surface area and age  
The results show that height correlated significantly  
with AO and ESD in subjects and controls. It also re-  
mained significantly correlated to EDD and LVPW in  
the subjects. While weight remained significantly corre-  
lated to LA and LA/AO in the subjects and surprisingly  
was significantly correlated to FS and EF in the controls.  
However HB which did not achieve any significant cor-  
relation with any of the echo parameters on univariate  
analysis was found to be significantly correlated with  
LVM. All the parameters (Height, Weight, BSA, HB)  
except age were significantly correlated with LVM both  
in univariate and multivariate analysis. Age that showed  
significant correlation on univariate analysis to all the  
direct echo parameters and LVM was only significantly  
correlated with LVPW in subjects in the multiple  
The Univariate correlation of echocardiographic meas-  
urements with weight, height and body surface and age,  
each shows that the echocardiographic measurements  
namely the AO, LA, EDD, ESD, LVPW,IVS and the  
LVM each increased progressively with body weight,  
height, age and BSA in the study population (r > 0.3 and  
p < 0.001). There was no significant association between  
weight and FS, EF, and LA/AO in the study population  
(
p > 0.1 ).  
Haemoglobin concentration  
In the correlation between the echocardiographic meas-  
urements and haemoglobin concentration in the subjects,  
regression models.(Table1 and 2).  
Table 1: Multiple regression models with age, height, weight and haemoglobin level as independent variable and the  
direct echo parameters as dependent variables in subjects.  
2
Echo parameter  
Age  
HB  
HT  
WT  
R
p
AO  
t
p
0.12  
0.91  
0.07  
0.94  
2.40  
0.02  
-0.41  
0.68  
0.53  
0.000000003  
LA  
p
t
0.41  
-0.83  
0.32  
-1.01  
0.33  
0.98  
0.02  
3.28  
1.33  
0.58  
0.0000000132  
EDD  
p
t
0.53  
-0.64  
0.32  
-1.00  
0.02  
2.34  
0.19  
0.61 0.00000000118  
ESD  
t
p
0.84  
0.40  
-0.24  
0.82  
2.47  
0.49  
-0.04  
0.02  
0.40  
0.97  
0.0000151  
LVPW t-2.01  
p
0.20  
0.04  
2.34  
0.84  
0.20  
0.02  
0.003  
0.63  
IVS  
t
p
-1.00  
0.32  
0.06  
0.95  
0.69  
0.49  
1.61  
0.11  
0.14  
0.01  
5
8
Table 2: Multiple regression models with age, height,  
weight and haemoglobin level as independent variable  
and the derived echo parameters as dependent variables  
in subjects.  
anthropometric indices i.e. body weight, height and BSA  
in both subjects and contr5o,6ls. This finding is similar to  
those of earlier studies  
.The functional parameters  
(FS and EF) were independent of the anthropometric  
indices in both groups. This implies that irrespective of  
body dimensions, the percentage of blood ejected by the  
ventricles and the degree of the myocardial contractility  
with each heart best remains constant in order to main-  
tain the normal body physiology.  
Echo  
parameter Age  
2
Hb  
HT WT  
R
p
LA/AO t -0.67 -0.81 -0.80 2.25 0.03 0.24  
P 0.51 0.42 0.43 0.03  
Similarly, most of the echocardiographic parameters  
showed a direct linear relationship with the age in both  
groups. The correlation between age and echocardio-  
FS  
EF  
t
P 0.47 0.57 0.21 0.24  
0.73 -0.57 -1.28 1.19 0.12 0.03  
5
graphic findings was also noted by Balfour et al and  
1
5
t
P 0.56 0.42 0.24 0.21  
0.59 -0.81 -1.19 1.28 0.02 0.57  
Cipolotti et al . This linear increase of the cardiac di-  
mensions with increasing age is in keeping with the nor-  
mal age-d1e1pendent effect of growth and development on  
the heart . However, the functional parameters (FS and  
EF) in this study did n8ot show a significant r1e9lationship  
BSA correlated significantly with LA, EDD and LVPW  
in subjects. However Hb which did not achieve any sig-  
nificant correlation with any of the echo parameters on  
univariate analysis was found to be significantly corre-  
lated with LVM. All the parameters (height, weight,  
BSA, HB) except age were significantly correlated with  
LVM both in univariate and multivariate analysis.  
1
with age. Pombo et al and Covarrubias et al here also  
demonstrated that these parameters remain constant irre-  
spective of age. This also follows same explanation as  
above.  
(
table 3)  
There has been no agreement on which indicator of body  
size (height, weight and BSA) or age should be used to  
relate to and correct echocardiographic measurements.  
An observation of a linear relationship of echocardio-  
graphic measurements with height, weight, body surface  
area and age has been found in this study using univari-  
ate analysis. With multivariate analysis this study found  
that the height corrsubjects. However, studies in normal  
children have found elates best with the dimensions fol-  
lowed by BSA in that the BSA correlates best with the  
dimensions and also shows a linear relationship with the  
measurements compared to the other anthropometric  
Table 3: Multiple regression models with age in  
months, body surface area (BSA) and haemoglobin level  
(
rameters as dependent variables in subjects.  
HB) as independent variable and the direct echo pa-  
Echo  
parameter Age BSA Hb  
R
p value  
t
p
t
p
t
p
9
, 10,  
indices and the age . This difference may be ex-  
plained by the fact that a multivariate analysis was car-  
ried out in this study which was not done in the earlier  
studies.  
AO  
1.49 1.87 0.24 0.51  
.14 0.07 0.81  
-0.63 4.22 -0.81 0.56  
.53 0.0001 0.42  
0.64 3.32 -0.74 0.66  
.52 0.002 0.46  
0.75 1.76 0.00 0.36  
.46 0.08 0.99  
-0.89 2.27 0.43 0.15  
.38 0.03 0.67  
-0.50 -1.84 1.91 0.16  
0.00001  
0.00001  
0.00001  
0.00001  
0.0065  
0
LA  
0
EDD  
ESD  
LVPW  
IVS  
0
0
Conclusion  
0
Direct echocardiographic parameters in sickle cell anae-  
mia patients are significantly correlated with anthropom-  
etric indices (Height, weight, BSA) and age. Our data  
suggest best correlation with height in these subjects and  
significant correlation of haemoglobin level with left  
ventricular mass in subjects and controls.  
0.0048  
Discussion  
This study aimed to correlate the echocardiographic  
measurements with the weight, height, age, body surface  
area and haemoglobin level of study subjects and to  
compare this with those of healthy age, sex and socio-  
economic class matched controls using univariate and  
multivariate analysis to be able to document which of  
the anthropometric parameters best correlate with echo-  
cardiographic parameters.  
Conflict of interest: None  
Funding: None  
Acknowledgement  
The cooperation of the study population, their parent  
and caregivers is gratefully acknowledged. The support  
of Chief Nursing officer M A Bastos is highly  
appreciated  
In this study, most of the direct echocardiographic pa-  
rameters and the LVM increased progressively with  
5
9
References  
1
.
Francis JRB, Johnson CS. Vascu-  
lar occlusion in sickle diseases:  
Current concepts and unanswered  
questions. Blood 1991; 77:1405-  
8. Oberhansli I, Brandon G, Lacourt  
G, Friedli B. Growth patterns of  
cardiac structures and changes in  
systolic time intervals in the new-  
born and infant. Acta Paediatr  
1980; 69:239-47.  
9. Sutton MS, Picard MH, Oldershaw  
PJ Saaccheti R, Gibson DG. Effect  
of age related changes in chamber  
size, wall thickness and heart rate  
on left ventricular function in nor-  
mal children. Br Heart J 1982; 48:  
342-51.  
14. Covitz W, Espland M, Gallagher D,  
Hellen brand W, Leff S, Talner N.  
The heart in Sickle cell anaemia  
(the cooperative study of sickle  
cell disease). Chest 1995;108:  
1214-19  
15. Cipolotti R, Costa GB, Lima  
WHC, Franco RP, Mello EV,  
Dalfabbro AL, Gurgel RQ, Cuevas  
LE. Echocardiographic characteris-  
tics of patients with sickle cell  
anaemia in. Sergipe, Brazil. J Trop  
Paediatr 20001; 47: 73-6.  
1
4.  
2
3
.
.
Odia OJ. Electrocardiography  
observation in sickle cell anaemia  
patients. Trop Cardiol 1990; 16:  
1
35-37.  
Val-Mejas J Lee WK, Weisse  
ABR, Ojan TJ. Left Ventricular  
performance during and after  
sickle cell crisis. Am J Med 1979;  
9
7: 585-591.  
10. Oladokun REM, Omokhodion SI.  
Left ventricular dimensions and  
functional parameters in apparently  
normal Nigerian Children. Cardiol-  
ogy Tropicale 2002;28:65-71.  
11. Sollinger R, Eible F, Minhask.  
Echocardiography in the normal  
neonate. Circulation 1973; 47: 108  
-18  
12. Henry WL, Gardin JM, Wane JH.  
Echocardiographic measurements  
in normal subjects from infancy to  
old age. Circulation 1980; 62:  
1054-60.  
16. American Society of Echocardi-  
ography. Recommendations for  
continuous quality improvement in  
echocardiography. J Am Soc Echo  
1995; 8 [5] part 2 supplement.  
17. Emodi KJ, Kaine WN. Weights,  
heights and Quetelet’s indices of  
children with sickle cell anaemia.  
Niger J Paed 1996;23: 37-41.  
18. Pombo JF, Troy BL, Russell RO.  
Left ventricular volumes and ejec-  
tion fraction by echocardiography.  
Circulation 1971; 43:480-90.  
19. Covarrubias E.A, Sheikh M.U,  
Solanki D, Morjaria M, Fox LM.  
Left ventricular function in sickle  
cell anaemia: A non-invasive  
evaluation. South Med J 1980; 83:  
342-344.  
4
.
Ogunkunle OO, Jaiyesimi F. Car-  
diovascular findings in children  
with sickle cell disease.  
Niger J Paed 1992; 19: 37-40  
Balfour IC, Covitz W, Daris H,  
Rao PS., Strong WB, Alpert BS.  
Cardiac size and function in chil-  
dren with sickle cell anaemia Am  
Heart J 1984; 108:345-50.  
Lester LA, Sodt PC, Hutcheon N,  
Arcilla RA. Cardiac abnormalities  
in children with sickle cell anae-  
mia. Chest 1990; 98: 1169-1174.  
Halon DA, Amitai N, Gotsman  
MS, Lewis BS. Serial echocardi-  
ography in the first three months  
of life. J Cardiol 1979; 9 [5]: 393-  
5
.
6
7
.
.
13. Roge CLL, Silverman NH, Hart  
PA, Ray RM. Cardiac structure  
growth pattern determined by echo-  
cardiography. Circulation 1978;  
57:285-90.  
4
04.