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ABSTRACT
INTRODUCTION: Iron deficiency Anemia (IDA) is one of the world's most common and
potentially treatable health problems. In IDA, there is an increased risk of thrombotic events due to
microthrombosis-related hypercoagulability.
AIMS AND OBJECTIVES: To compare and analyze blood cell(RBC) and platelet parameters in
Iron Deficiency Anemia (IDA) patients with individuals without anemia and to establish the
correlation between platelet size parameters especially mean Platelet Volume (MPV), Platelet
Distribution Width (PDW) with RBC parameters.
MATERIAL AND METHODS: Totally 150 subjects (75 with IDA and 75 without anemia) were
included. Blood samples analyzed for RBC parameters with iron profile and platelet parameters.
RESULTS: The difference in mean hemoglobin (Hb), RBC count, hematocrit (HCT), Mean
corpuscular volume (MCV), Mean corpuscular hemoglobin (MCH), Mean corpuscular hemoglobin
concentration (MCHC), Red cell Distribution Width (RDW), Serum iron, serum ferritin levels and
similarly the difference in mean Platelet count, Plateletcrit (PCT), MPV and PDW between patients
with IDA and those without anemia were statistically significant (p<0.05). Significant direct linear
relationship between PDW, MPV and RDW and a significant inverse linear relationship between
Platelet count with Hb, RBC count, HCT, MCH, MCHC, serum iron and serum ferritin, MPV with
HCT, MCH, MCHC, serum iron and PCT with MCH, MCHC. The following parameters were
noticed and were statistically significant(p<0.05)
CONCLUSION : Our study demonstrates a significant association between RBC and platelet
parameters in IDA. We speculate that platelets in IDA are increased, more aggregableand hence an
increased risk of thrombosis owing to increased MPV and PDW. This insight should pave the way
for pathophysiology-directed therapy, thus contributing to the avoidance of thrombosis associated
with IDA and the importance of close monitoring in these patients.
KEYWORDS : Anemia, Iron deficiency, Red blood cell indices, Platelet indices, thrombosis
Address for correspondence:
Dr. Lavanya Rajagopal, F4, Trisquare Prestige Appartment,Vivekanandanagar, Sambakulam, Moondrumavadi,
K.Pudur, Madurai - 625007, Tamilnadu, Email id:[email protected], Mobile : 08754131339
1 2 5Assistant Professor, Assistant Professor, Professor and HOD, Department of Pathology, SRM Medical College Hospital and Research Centre, Kattankulathur, Chennai.
4Dean (Medical), Professor, Department of Pathology, SRM Medical College Hospital and Research Centre,Kattankulathur, Chennai.
3Faculty Of Applied Medical Sciences, Medical Laboratory Department, Jazan University, Jazan, Saudi Arabia.
Correlative Analysis of Red Blood Cell and Platelet Parameters Predicts
the Risk of Thrombosis in Patients with Iron Deficiency Anemia1 2 3Lavanya Rajagopal , Veena Raja , Saleh Mohammed Abdullah ,
4 5Sundaram Arunachalam , Shivashekar Ganapathy
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http://dx.doi.org/10.31975/NJBMS.2018.9103
Original Article
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Moreover, several recent studies and meta-analyses
suggest that higher MPV and PDW values indicate
platelets, which are metabolically and
enzymatically more active with a great
prothrombotic potential and can be used as an 22alternative marker for platelet activity. The
relationship between platelet counts MPV, PDW
and risk of thrombosis has been of special interest 16,23-27in IDA and healthy individuals in literature.
Although the exact mechanism of alterations in
platelet parameters associated with iron deficiency
is unknown, iron is postulated to play a key role in
the synthesis of platelets and in the regulation of 28thrombopoiesis. This study demonstrates the
effect of iron deficiency on platelet parameters and
provides an insight into the pathogenesis of
alterations in platelet parameters associated with
iron deficiency.
There are only few reports in literature regarding
the correlation of platelet parameters with red 29blood cell parameters. The objective of this study,
therefore, was to compare and analyze red blood
cell (RBC) and platelet parameters in IDA patients
with individuals without anemia and furthermore to
establish the correlation between platelet size
parameters especially MPV, PDW with RBC
parameters.
METHODS :
This descriptive analytical cross-sectional study
was carried out in department of pathology over a
period from august 2016 to August 2017, at SRM
Medical College Hospital & Research Centre,
Kattankulathur, Tamilnadu, India and approved by
institutional ethical committee. Totally 150
subjects aged more than 20 years of both genders
(75 with IDA and 75 without anemia) were
INTRODUCTION:
ron deficiency is one of the world's most
common and potentially treatable health Iproblems, nevertheless little is known about its
relationship with platelet parameters. The first
observations were reported in 1904, when the effect
of severe hemorrhage on the number of platelets 1was tested in rabbits. In Iron deficiency anemia
(IDA), several changes in platelets have been
reported. So, a relationship between iron
metabolism and thrombopoiesis should be 2,3considered. Several research reports linked
thrombosis, thrombocytosis and iron deficiency
and the suggested relationship between the two 4-10assumes clinical importance.
A biphasic pattern of platelet response was noted in
patients with IDA. Moderate IDA is usually 11-13
associated with reactive thrombocytosis.
Thrombocytopenia can be seen in patients with 3,14-16severe IDA. Both thrombocytosis and
thrombocytopenia may disappear af ter 12-15
irontherapy.
Erythropoietin (Epo) is the primary growth factor
for the red cell lineage, regulating the survival,
proliferation and differentiation of erythroid
precursors but treatment with recombinant human
Epo (rHuEpo) has been shown to increase platelet 17-19counts. A recent study conducted in dogs
showed that EPO not only st imulates
erythropoiesis but also affects platelet quality by 20increasing platelet reactivity.
Iron deficiency can cause hypercoagulability,
reactive thrombocytosis, anemia, and increased
viscosity due to red cell deformability related to 21microcytosis. In IDA, there is an increased risk of
thrombotic events due to microthrombosis-related
hypercoagulability.
Lavanya Rajagopal et.al : Red Blood Cell and Platelet Parameters predicts Thrombosis in IDA
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included in this study. Their blood samples (5 ml)
were analyzed for red cell parameters [hemoglobin
(Hb), RBC count (RBC), hematocrit (HCT), Mean
corpuscular volume (MCV), Mean corpuscular
hemoglobin (MCH), Mean corpuscular
hemoglobin concentration (MCHC), Peripheral
smear, Serum iron and Ferritin levels] and Platelet
parameters [Platelet count, Plateletcrit (PCT),
Mean Platelet Volume (MPV) and Platelet
Distribution Width (PDW)]. History of underlying
hematologic disorder, chronic kidney disease,
diabetes, pregnant woman and patients on
antiplatelet drugs, hematinics were excluded from
this study. Informed consent was obtained from all
the subjects. Medical history recorded.
The anemic patients were selected based on their
hemoglobin levels (Hb<13 gm% in males and <12
gm% in females) based on definition of World
Health Organization (WHO) and those with
predominantly microcytic red cell indices
(MCV<76 fl), hypochromic red cell indices
(MCH<27 pg/cell and MCHC<32 gm/dl) and on
their peripheral smear (microcytic hypochromic)
were considered to have IDA which was confirmed
by low serum iron (<59 μg/dl in males and <37
μg/dl in females) & low serum ferritin (<15 ng/ml
in males and <9 ng/ml in females).
Red cell and platelet parameters were estimated by
SYSMEX XT-1800i automated Hematology
analyzer. Serum ferritin (Bio-Rad Quanimune
Ferritin IRMA, Bio-Rad lab) & Serum iron (TPTZ)
method.
STATISTICAL ANALYSIS
The data are presented as mean ± SD for continuous
variables. A student's t- test was applied for
comparison of group means. Pearson's co-efficient
was calculated to determine correlation between
two variables. P value <0.05 was considered
statistically significant.
RESULTS
Table-1: Comparison of red cell parameters
between anemic (IDA) and not anemic
individuals.
In this study the difference in mean Hb, RBC count,
Hct, MCV, MCH, MCHC, RDW, Serum iron and
ferritin between patients with IDA and those
without anemia was statistically significant
(p<0.05).
Table-2: Comparison of platelet parameters
between anemic (IDA) and not anemic
individuals.
Similarly, the difference in mean platelet count,
PDW, MPV and PCT between patients with IDA
and those without anemia was statistically
significant (p<0.05).
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Table 3: Correlation between red cell and
platelet parameters among anemic (IDA) and
not anemic individuals.Significant* (p < 0.05).
In patients with IDA, when Pearson's correlation
test was performed, inverse correlation between
platelet count, PCT and Hb, RBC count, HCT,
MCV, MCH, MCHC, Serum iron, serum ferritin
and linear correlation between platelet count, PCT
and RDW was determined.
The observations derived from the present study
also shows inverse correlation between PDW and
Hb, RBC count, Hct, MCH, MCHC; linear
correlation between PDW and MCV,RDW, serum
iron and serum ferritin. Similarly, inverse
correlation between MPV and HCT, MCH, MCHC,
serum iron and serum ferritin; linear correlation
between Hb, RBC count, RDW was determined.
In the stepwise logistic regression test, a
statistically significant direct linear relationship
between PDW, MPV and RDW (p<0.05) was
seen.Similarly, a statistically significant inverse
linear relationship between the following
parameters was noticed.
I. Platelet count with Hb, RBC count, Hct, MCH,
MCHC, serum iron and serum ferritin (p<0.05).
ii. MPV with Hct, MCH, MCHC, serum iron
(p<0.05).
iii. PCT with MCH, MCHC (p<0.05).
No association of statistical significance was seen
between other platelet and RBC parameters in
patients with IDA.In individuals without anemia,
we observed no significant correlation between
RBC and platelet parameters except for Hb and
MPV.
DISCUSSION :
The ontogeny of human hematopoietic cells has
been an area of constant research and immense
interest.Here we addressed the hypothesis that iron
deficiency is also relevant for IDA-associated
thrombocytosis and also a risk factor for
thrombosis. This study is the first to underline the
relevance of iron deficiency in this setting.
The uniquely anuclear red blood cell is one of the 30
most highly specialized of cells. Platelets are
small anuclear cell fragments that are derived from
mature megakaryocytes. An increase in the
circulating number of platelets may occur in
circumstances such as neoplastic proliferative
diseases (i.e. essential thrombocytosis) or reactive
thrombocytosis secondary to IDA, malignancy 31-33
etc.
Some of the features that are similar to both RBCs
and platelets are: I) both develop from a common 34Megakaryocyte/Erythroid progenitor cell (MEP).
A population of probable erythrocytic and
megakaryocytic cell lineage precursors co-35
expressed glycophorin A and glycoprotein IIIa.
Such a bipotentery megakaryocytic progenitor has 36been characterized in human bone marrow,
ii)Both red blood cells and platelets are anucleate 37form in the peripheral blood, iii) Both the cells
have an immature peripheral blood stage called as
reticulocyte for RBCs and reticulated platelets for 38
platelets.
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Erythropoietin and thrombopoietin share a high
degree of amino acid sequence homology (first 155
amino acids are common). Based on this theory,
thrombocytosis in children with iron deficiency 39
anemia was explained by Bilic E et al. Munker M
et al suggest that both thrombopoietin and
ery thropoie t in be longing to the same
hematopoietic growth factor subfamily, are
majorly produced in the kidney and act similarly
by activating the JAK/STAT pathway and Ras 40
signal transduction on their respective precursors.
GATA-1, a transcription factor is expressed in
p r imi t i ve and de f in i t e e ry th ro id and
megakaryocytic cells and expression of both
lineages are dependent on the presence of an intact 41GATA site. Thus a large body of data supports the
concept that megakaryocytic and erythrocytic cell 4 2l ineages share a common progenitor.
Megakaryocytes have been shown to express
erythroid-specific transcription factors, such as 43 44
GATA factors, a specific DNA-binding protein
or a nuclear factor involved in the regulation of 45
globin transcription.
Iron Deficiency (ID) is the world's most
widespread nutritional disorder, irrespective of
age, gender and socioeconomic status, affecting
both industrialized and developing countries.
Approximately one-third of patients with anemia 46
exhibit iron deficiency. The annual incidence rate
of iron deficiency anemia (IDA) is 7.2-13.96 per 47
1,000 people per year. Although few studies have
linked IDA with altered platelet parameters, the
relationship between them has long been a topic of
debate in the literature.
Our study results show a statistical significant
increase in platelet count and platelet crit in patients
with IDA when compared with individuals without
anemia(Table 2). This coincides with the results of 48 49 50 Yuce S et al, Kodikoylu G et al, Park MJ et al but
28contradicts with results of Gupta et al, Perlman
14 51MK et al, Morris VK et al.
The mechanism leading to thrombocytosis in cases
of iron deficiency anemia remains unclear. The
duration and the degree of IDA may play a role in
determining the mechanism of platelet production.
In moderate IDA, the causes of thrombocytosis
may be: 1) shortening of megakaryocyte
maturation 2) increased rate of influx of precursor
cells into the megakaryocyte compartment with an
increased rate of efflux 3) stimulator effect of
transferrin on megakaryopoiesis 4) inhibition of 52-54
iron on megakaryocyte maturation. However,
when iron deficiency becomes very severe,
m e g a k a r y o c y t e n u m b e r s d e c r e a s e d ,
megakaryocyte size increased, and platelet counts
tended to normalize. This may be due to the
shortening of megakaryocyte maturation. This
could, however, also be consistent with the
previously described diphasic pattern of increased 52,53stimulation by endogenous Epoprecursors.
Bilic and Bilic reported that an amino acid
sequence homology between erythropoietin and
thrombopoietin may explain thrombocytosis in 39
children with IDA.
Our study results show a statistically significant
increase in MPV in patients with IDA when
compared with individuals without anemia (Table 50
2). This coincides with the results of Park MJ et al 48but contradicts with results ofYuce S et al.
Similarly a statistically significant increase in
PDW in patients with IDA (Table 2). This coincides 55
with the results of Timuragaogluet al. Our study
results show a statistically significant direct linear
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relationship between MPV, PDW and RDW in
patients with IDA (Table 3). This coincides with the 56 29
results of Wiwanitkit V et al and Saouli Z et al.
Although thrombotic and bleeding events are much
less likely to occur in association with reactive
t h r o m b o c y t o s i s t h a n a u t o n o m o u s 57thrombocytosis, thrombotic complications were
58-59occasionally reported in iron deficiency anemia.
Previous studies have shown that elevation of
collagen and ADP during IDA may lead to 60increased thrombocyte aggregation. However,
other studies have not found increased collagen and 61,62ADP during IDA. Malhotra RK et al studied
platelet aggregation with ADP, adrenaline and
collagen before and after iron therapy in IDA
patients. He found that in untreated patients platelet
aggregation with all three reagents was reduced,
and it became normal on iron repletion, with 63normalization of hemoglobin.
Larger platelets are younger, more reactive and
aggregable, contain denser granules, secrete more
serotonin and β-thromboglobulin, and produce
more thromboxane A2 than smaller platelets. All
these can produce a pro-coagulant effect and cause 64
thrombotic vascular complications. Several
recent studies and meta-analyses suggest that
higher MPV and PDW values indicate platelets,
which are metabolically and enzymatically more
active with a great prothrombotic potential and can
be used as an alternative marker for platelet 65activity. The activated platelets differ in size from
non-activated ones mainly due to a change from a
discoid to a spherical shape and pseudopodia
formation, leading to a change in the Platelet 66Distribution Width (PDW). The differences in
platelet volume vividly correlates with differences
in density, platelet aggregation to adenosine di-
phosphate and serotonin uptake and release,
supporting the relevance of the Mean Platelet 67,68Volume (MPV) as a measure of platelet function.
Thus Platelet size has become an important marker
of platelet function and also a physiological 69
variable of hemostatic importance.
Table 4: Comparison of present study with
different studies.
Another important clinical implication of this
inverse relationship would be in voluntary
plateletpheresis. The American Association of
Blood Banks (AABB) demonstrated that higher
donor platelet counts reflected a decrease in MCV,
thus projecting a higher likelihood of donor iron 70deficiency in high plateletpheresis yields. Higher
RDW has also been shown to concurrently occur
with higher platelet counts in advanced cancer 71stages, particularly in lung cancer.
LIMITATIONS OF THE STUDY :
There are few limitations in our study such as small
sample size and qualitative platelet disorders were
not assessed.
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CONCLUSION :
Our study clearly demonstrates a significant
association between red cell and platelet
parameters in IDA. This study has indicated that
IDA could induce thrombocytosis. We speculate
that platelets of IDA patients become more reactive
and more aggregabledue to red cell deformability
related to microcytosis and hence an increased risk
of thrombosis owing to increased MPV and PDW.
This insight should pave the way for
pathophysiology-directed therapy, thus
contributing to the avoidance of several deleterious
effects like thrombosis associated with IDA and the
importance of close monitoring in these patients.
Further studies with larger samples are needed to
clarify these relations in terms of the pathogenesis.
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Received on : 17-02-2018 Revised on : 08-03-2018 Accepted on : 16-07-2018
National Journal of Basic Medical Sciences | Volume 9 | Issue 1 | 2018
Lavanya Rajagopal et.al : Red Blood Cell and Platelet Parameters predicts Thrombosis in IDA