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Introduction
Children between the ages of six and 24 months are among the most
vulnerable to iron deficiency anemia, with the greatest risk being
between six and twelve months, when complementary feeding has begun.
Iron deficiency may cause skin, mucosal and gastrointestinal abnormalities,
low weight for age, reduced capacity for work and reduced immune
response(,).
Anemia also compromises physical, motor, psychological, behavioral,
cognitive and language development(,).
Iron deficiency develops in three stages. Firstly, there is a reduction
in serum ferritin, which is directly related to iron reserves().
Secondly, a reduction in serum iron concentration and an increase
in iron binding capacity. The third stage occurs with restriction
in the synthesis of hemoglobin, which may lead to anemia(,).
In iron deficiency anemia, red cells undergo morphological change
from normocytic and normochromic to microcytic and hypochromic().
Electronic cell counting allows analysis of hematimetric indices,
which are important in the differential diagnosis of anemia. Low
mean corpuscular volume (MCV) together
with anemia favors diagnosis of iron deficiency anemia, as MCV obtained
electronically is accurate and highly reproducible. Mean corpuscular
hemoglobin (MCH) is also abnormal in iron deficiencies(5).
In infants, low hemoglobin together with MCV below 72 fl and/or
MCH below 24 pg suggests iron deficiency(,).
Inadequate iron intake results in anisocytosis,
where the erythrocytes produced are of small average size
and large size variation. Anisocytosis is measured by red
cell distribution width (RDW). Iron deficiency anemia thus
leads to precocious increase in RDW, allowing early detection of
iron deficiency before a large reduction in MCV occurs(,).
Ferritin allows a quantitative analysis of the body's iron stores.
Ferritin concentration below 10 or 12 ng/ml is considered indicative
of iron depletion at all ages(,,,).
A number of tests can be used to evaluate iron deficiency: hemoglobin,
hematocrit, ferritin, transferrin saturation, erythrocyte protoporphyrin,
serum iron(),
iron binding capacity, MCV, MCH, mean corpuscular hemoglobin concentration
(MCHC), RDW(),
circulating serum transferrin receptor and reticulocyte hemoglobin
content().
As many of these tests lack specificity, a number of them are used
together in the evaluation of types of anemia and the differential
diagnosis of microcytosis().
Infections and inflammations increase serum ferritin by two to
four times, reducing its diagnostic value(),
as ferritin is a positive reactant in
the acute phase(,).
It is therefore important to exclude infants with these conditions
by means of C-reactive protein (CRP), which is one of the acute
phase proteins whose concentration also increases rapidly in case
of infections and inflammations, allowing them to be detected before
clinical diagnosis(,).
Venous blood gives greater reproducibility of results and diagnostic
security for anemia than does capillary blood(,,,).
Nonetheless, there is little research in Brazil using venous blood
from term infants to evaluate the etiology of anemia and analyze
biochemical and hematological variables. Sigulem et al. make reference
to venipuncture().
This study was carried out in the pediatric outpatients ward of
a public health unit in the city of Goiânia, central Brazil,
with the aim of establishing the prevalence of anemia, iron deficiency
anemia and iron deficiency in infants between six and twelve months
of age, comparing the use of two or more parameters in the diagnosis
of iron deficiency anemia and analyzing and correlating the biochemical
and hematological variables.
Methods
The study was observational and historical in nature, with cross-sectional
epidemiological design. It was approved by the Ethics and Research
Committees of the Hospital das Clínicas of the Federal University
of Goiás and the Hospital São Paulo, Federal University
of São Paulo.
One hundred and twenty mothers were interviewed, and 110 infants
included in the study. These infants were non-twins born at term,
between six and twelve months of age (69 between six and nine months
and 41 between nine and twelve months), not using iron sulfate and
attending the pediatric outpatients ward. Infants with diarrhea
were excluded as reduced plasmatic volume leads to a false erythropoiesis,
obscuring early signs of anemia().
A pilot study was carried out, with socioeconomic and hematological
data collected between November 1997 and May 1998, after parents'
informed consent was obtained. Per capita income expressed in US
dollars was calculated on the basis of the minimum wage (R$120.00
per month) and the average month-end exchange rate (US$ 1.0 = R$1.1304)
during the collection period.
Eight ml of venous blood was collected after fasting to perform
full hemogram, serum iron, ferritin and CRP tests at the clinical
laboratory of the Hospital das Clínicas of the Federal University
of Goiás.
Hemoglobin concentration was determined by electronic count, using
Abbott Cell-Dyn 3000 equipment. MCV, MCH and RDW were also evaluated.
Serum iron was evaluated using the enzymatic-colorimetric test on
Merck Mega equipment. Ferritin was evaluated using the automated
chemiluminescence assay
on Immulite equipment. Serum CRP was evaluated using the
latex agglutination test. CRP > 6 mg/l indicates infection
or inflammation. Anemic infants with temperature > 37.5º
C and CRP > 6 mg/l were excluded from analysis of iron deficiency
etiology, as were those for whom results were not obtained for all
parameters.
Children with hemoglobin less than 11 g/dl were considered anemic,
following WHO guidelines (1968)().
Besides hemoglobin, iron deficiency etiology in anemic infants was
evaluated using the lower normal limits for hematocrit (32%), MCV
(72 fl), MCH (24 pg), serum iron (50 mg/dl())
and ferritin (10 ng/ml()).
RDW greater than 14.5% was taken to indicate iron deficiency, as
recommended for children from one to five years(,).
Data were analyzed on Epi-Info 6.0225 and Sigma Stat for Windows
2.0 software, using the following statistical methods: chi-square
test, Student's t test, Mann-Whitney test, Spearman correlation
coefficient and analysis of sensitivity and specificity. Significance
was established at 5%.
Results
Study group characteristics and socioeconomic conditions
Among the 110 infants studied, 54 were male, and 56 female. There
was no significant difference in distribution by sex in the age
groups six to nine months (n = 69) and nine to twelve months(n =
41) (P = 0.657). There was also no significant difference
between anemic and non-anemic infants in relation to age group (P
= 0.413) or sex (P = 0.128).
Among the anemic infants, 62.7% were from families with per capita
income below one minimum wage, that is, US$ 106.16 per month. There
was no significant relationship between anemia and per capita family
income among infants from six to twelve months (P = 0.770).
There was also no significant difference in proportion of anemic
infants among children of mothers above and below median level of
schooling (sixth grade) (P = 0.926).
Prevalence of anemia
Observed prevalence of anemia was 60.9% (Table 1), with 95% confidence
of error within 9% absolute. Median, standard deviation and 95%
confidence interval of hematological test results are presented
in Table 2. Significant differences were found between anemic and
non-anemic groups in terms of erythrocytes (P < 0.001),
MCV (P < 0.001), MCH (P < 0.001) and MCHC (P
< 0.001). Table 3 shows significant differences between anemic
and non-anemic groups in terms of hematocrit (P < 0.001),
RDW (P = 0.012), serum iron (P < 0.001) and ferritin (P
< 0.001). Hemoglobin < 11 g/dl is therefore an adequate cutoff
point for diagnosis of anemia.
Table 1 -
Infants of the anemic and non-anemic groups, both
male and female, according to age group, Goiânia, 1998
Table 2 -
Mean (M),
standard deviation (SD) and confidence interval (CI) of 95% of the
parameters: hemoglobin (Hb), n. of erythrocytes (n. erythr.), mean
corpuscular volume (MCV) and mean corpuscular hemoglobin (MCH), of
the anemic and non-anemic groups
Table 3 -
The 25th
percentile (25thP), median (Mi) and the 75th percentile (75thP) of
the parameters: hematocrit (Hto), Red cell Distribution Width (RDW),
serum iron and rods of anemic or non-anemic infants
Prevalence of iron deficiency anemia and iron deficiency
Table 4 shows the variations in prevalence of iron deficiency anemia
according to the criteria adopted. It was found that when a second
parameter was used (MCV, MCH, ferritin or serum iron) including
RDW or not, iron deficiency prevalence reached 97.8%.
Table 4 -
Prevalence
of iron deficiency etiology in anemic infants according to the association
of different criteria
Using hemoglobin and RDW, anemia prevalence was 89.1%. When hemoglobin
and two other parameters were used (not including RDW), prevalence
was 87.0%. When RDW was included, prevalence was 97.8%. RDW increased
the sensitivity of iron deficiency detection, as well as allowing
the differential diagnosis of iron deficiency anemia and thalassemia.
Iron reserve depletion was 20% in 35 infants defined as non-anemic
by ferritin level, and 28% in 32 infants defined as non-anemic by
ferritin level and RDW. Abnormal CRP was found in 23% and 10% of
anemic and non-anemic infants with normal temperature, respectively.
Correlation between biochemical and hematological variables
As shown in Table 5, there was no correlation between erythrocyte
numbers and RDW (r = 0.134) or serum iron (r = 0.044). Correlation
was found with the other biochemical and hematological variables.
Hemoglobin showed the best correlation with hematocrit (r = 0.946),
and MCH showed the best correlation with MCV (r = 0.950) and ferritin
(r = 0.634).
Table 5 -
Spearman correlation coefficient (values of r) between hematologic
and biochemical variables of infants
The highest negative correlations with RDW were with ferritin in
infants without infection or inflammation, (r = -0.506), ferritin
in the group as a whole (r = -0.443), and MCH (r = -0.438). These
correlations are, nonetheless, weak.
Discussion
In infants aged six to twelve months in the city of São
Paulo, the prevalence of anemia increased from 41.3% in 1973/74
to 53.7% in 1984/85 and 71.8% in 1995/96(,,).
In the state of São Paulo, the prevalence of anemia was 55.5%
in infants from six to eight months and 62.8% in infants from nine
to eleven months. These values are similar to the 60.9% obtained
in the present study().
No association was observed between anemia and maternal schooling
in the present study, confirming the findings of Sigulem et al().
No association was observed in the present study between anemia
in infants and per capita family income. In the city of São
Paulo, no significant difference was observed between families with
per capita income above and below one minimum wage in terms of anemia
levels among infants under 24 months. Among those over 24 months,
however, an association between income and anemia was found().
Monteiro et al analyzed the prevalence of anemia in children between
zero and 59 months in the city of São Paulo in 1995/96, finding
that increased per capita income and maternal schooling are associated
with reduced anemia and increased MCHC().
This analysis was not carried out separately for infants under 24
months. Nonetheless, an evaluation of the research carried out in
1984/85 and 1995/96 shows an improvement in the socioeconomic variables
(per capita income and maternal schooling) and a concurrent 25%
increase in anemia at all economic levels.
The erythrocyte count normally shows an inverse correlation with
MCV, which can be confirmed in Table 5 (r = -0.450) ().
This relationship was also found with MCH (r = -0.442) and ferritin
(r = -0.241).
Taking hemoglobin less than 11 g/dl as the standard for diagnosis
of anemia in infants, the cutoff point of MCH = 24 pg showed sensitivity
of 91%, specificity of 42%, positive predictive value of 71%, negative
predictive value of 75%, and accuracy of 72%().
The use of the cutoff point of MCH = 22.2 pg gave greater specificity
(84%) and positive predictive value (83%), but lower sensitivity
(52%), negative predictive value (53%) and accuracy (64%).
The data of the present study are confirmed by Oski(),
who stated that RDW seems to be the first hematological manifestation
of iron, and is more sensitive to screening for iron deficiency
anemia than serum iron or serum ferritin, while also allowing the
differential diagnosis of iron deficiency anemia and thalassemia.
Choi and Reid state that normal RDW (RDW < 14.0) indicates normal
state in healthy children().
However, only 6.0% of healthy infants researched presented with
normal RDW.
Considering that the present study found only 52.2% of infants
with reduced hemoglobin, MCV and ferritin, it was found that ferritin,
despite being highly specific for iron deficiency, is less sensitive
in infants. This confirms the affirmation of Wilson et al(),
and contradicts the hypothesis that ferritin would be the most sensitive
index of iron deficiency(,).
Among the infants with anemia and iron deficiency anemia (hemoglobin
and ferritin) without infection, it was found that 41.2% and 48.3%
respectively presented with hematocrit less than 32%. Allen also
observed lower hematocrit alteration in anemics().
Further studies are needed to determine the hematocrit cutoff point.
Compared to Allen's study of the 18 to 36 month age range, the
present study found greater correlation between hemoglobin and hematocrit
(r = 0.946 compared to r = 0.76), hemoglobin and MCH (r = 0.556
compared to r = 0.42) and MCV and MCH (r = 0.950 compared to r =
0.82)().
While Allen found no correlation in infants of six to twelve months
between MCH and hematocrit (r = 0.05), hemoglobin and MCV (r = 0.04)
and MCV and hematocrit (r = 0.05)(),
the present study found such correlations (Table 5). However, in
infants from 18 to 36 months, there was greater correlation of erythrocyte
numbers with hematocrit (r = 0.57), MCH (r = -0.63) and MCV (r =
-0.77) than was found in infants. Of the variables analyzed in this
study, those showing strong correlation were hemoglobin and hematocrit
(r = 0.946) and MCV and MCH (r = 0.950). It was also confirmed that
iron deficiency is the most common etiology for
anemia in infants between six and twelve months, although
prevalence levels depend on the parameters used and thus on the
criteria adopted.
Acknowledgements
We would like to thank Fátima M. Machado Barbosa and Euselina
M.Q. Pereira for the collection of blood, and Márcia Maranhão
De Conti for the nutritional follow up of anemic subjects.
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