Study
of platelet parameters in bacterial infections of lower respiratory tract
B.
Lakshmi Durga Srujana1, Yalavarthi S.2, Vasudha C.L.3
1Dr.
B Lakshmi Durga Srujana, Assistant Professor, 2 Dr. Sushma
Yalavarthi, Professor & Head, both authors are affiliated with department
of pathology, 3Dr. Vasudha CL, Assistant Professor, Department of
Microbiology, Mamata Medical College, Khammam, Telangana, India.
Corresponding Author: Dr.
B Lakshmi Durga Srujana, Assistant Professor, Department of Pathology, Mamata
Medical College, Khammam, Telangana, India. E-mail id: srujanabld@gmail.com
Abstract
Background:
Respiratory tract infections are one of the commonest bacterial infections. Platelets
play an important role in inflammatory response against infectious agents.
Bacterial components activate platelets to release inflammatory mediators. The
changes platelets undergo during their activation are reflected in the platelet
parameters. This study aims to evaluate platelet parameters in the lower respiratory
tract infections. Materials & methods:
Cross-sectional study on sputum culture proven bacterial infections of the lower
respiratory tract was done for three months. Platelet parameters of 94 cases
were compared with 94 healthy controls. Cases were sub grouped as group A (with
leucocytosis) and group B (without leukocytosis). Comparative analysis of
platelet parameters between these subgroups and controls was done. P value was
calculated and <0.05 was considered significant. Results: Platelet count (p <0.05) and plateletcrit were higher,
Mean platelet volume (p <0.05), Platelet distribution width (p <0.001)
and Platelet large cell ratio were lower in cases compared to controls. Group A
showed significantly higher PLT (p < 0.05) and PCT (p <0.001) than group
B whereas the difference in other parameters was not significant. All platelet
parameters were significantly altered in patients with leukocytosis on
comparison with controls whereas only MPV, PDW and P-LCR showed significant
change in patients without leukocytosis when compared with controls. Conclusion: Platelet parameters show
variation in the lower respiratory tract infections. As they can be determined
as a part of routine complete blood picture analysis, they may be considered as
markers of inflammation in the diagnosis of lower respiratory tract infections.
Keywords: Leukocytosis,
Mean Platelet volume, Plateletcrit, Platelet distribution width, Platelet large
cell ratio, Platelet parameters.
Author Corrected: 28th July 2018 Accepted for Publication: 2nd August 2018
Introduction
Role
of platelets in the clotting of blood is well established. Along with the molecules
necessary for aggregation, platelets also express various receptors for
bacteria, complement components and many other mediators of inflammation [1]. Binding
of bacterial ligands activates platelets which then show multiple responses.
Antimicrobial substances are released from activated platelets, some of which
opsonise bacteria whereas few others alter bacterial cell wall permeability or
have direct bactericidal action [2,3]. Platelets also interact with leukocytes
in bacterial clearance. Chemokines and interleukins expressed by platelets
participate in recruitment and activation of leukocytes. These molecules also
act on bone marrow to alter the production of platelets. Activation of platelets
leads to the change in their shape and size [4,5]. These alterations in
platelet count, size and activity are reflected in platelet parameters such as
platelet count (PLT), mean platelet volume (MPV), platelet distribution width
(PDW), plateletcrit (PCT) and platelet large cell ratio (P-LCR). Though
all of these parameters are routinely analyzed by automated cell counters, only
platelet count is generally considered in the diagnosis and management of
infectious diseases.
The
present study aimed to evaluate and compare platelet parameters in patients
with lower respiratory tract infections and healthy controls and also to study
the changes of these parameters in relation to White Blood Cell (WBC) count.
Materials and Methods
Type & Place of
study: This was a cross-sectional study conducted over a
period of three months from January 2018 to March 2018 in department of
Pathology, central laboratory of a tertiary care hospital with the approval of
institutional ethical committee.
Study sample: All
adult patients who had come to the hospital with lower respiratory tract infections
and underwent sputum culture during the study period were considered for case
group and all adults who came for routine check-up during the same period were
considered for control group. Data regarding age, sex, clinical diagnosis and
sputum culture reports were collected from the patients. Age, sex and medical
history details were collected from the individuals who came for routine health
check-up.
Inclusion criteria
Cases-
·
Adult patients with sputum culture
proven bacterial infection of lower respiratory tract and were willing to
participate in the study.
Controls-
·
Healthy adults who were willing to
participate in the study.
Exclusion
criteria
Cases-
·
Patients with lower respiratory tract
infection but were bacterial culture negative.
·
Sputum culture positive but not willing
to participate in the study.
·
Patients with diseases involving liver,
renal, cardiovascular system, co-morbidities such as diabetes, hypertension,
other inflammatory conditions and those on drugs which may affect platelets.
Controls-
·
Adults with any co-existing medical
disorder and/or on any drugs.
·
Healthy adults not willing to
participate in the study.
Sample collection:
Total of 94 cases with positive sputum culture formed the case group of the
study. 94 consecutive healthy adults who fit the study criteria were taken as control
group. Informed consent was taken from both the groups and 2ml of venous blood
was drawn into EDTA coated tubes under aseptic conditions. Complete blood count
analysis was done using Fx-19 T auto hematology analyzer (Unitron Biomedicals, Bengaluru,
India).
Readings
were noted with emphasis on Total leukocyte count (TLC) and platelet parameters
(PLT, MPV, PDW, PCT, P-LCR). Taking upper cut-off value of TLC as 11.0x109/L,
patients were sub grouped into group A (with leukocytosis) and group B (without
leukocytosis).
Statistical methods: Statistical
analyses were performed using SPSS version 20 software (SPSS Inc., Chicago, IL,
USA). Qualitative variables were expressed as percentage. Quantitative
variables were expressed as Mean + Standard Deviation (Mean +SD).
TLC and platelet parameters were compared between cases and controls.
Comparative analyses of platelet parameters between groups A and B, between
group A and controls and between group B and controls were done. Independent
sample T test was applied and p value of <0.05 was taken as statistically significant.
Results
In
the period of three months, 94 patients with positive sputum culture were
studied. Patients were between 21 years and 79 years of age. 50 patients
(53.19%) were males and 44 cases (46.8%) were females. Control group included 94
healthy individuals (50 males and 44 females) between 22 and 75 years of age.
Sputum
culture demonstrated gram negative organisms in 48 cases (51.06%) while gram
positive organisms were detected in 46 cases (48.93%). Among gram negative
organisms, most common isolate was Klebsiella
pneumoniae (24/48 cases), followed by Pseudomonas
aeruginosa (17/48 cases). 3 cases of Enterobacter
spp, 2 cases of Escherichia coli
and one case each of Citrobacter spp
and Acinetobacter spp were also
reported. Streptococcus pneumoniae
(37/46 cases) was the most common isolate among gram positive organisms. Streptococcus pyogenes was found in 7 cases
and Staphylococcus aureus in 2 cases.
Overall, Streptococcus pneumoniae was
the most common bacteria isolated (37/94 cases, 39.36%) followed by Klebsiella pneumoniae (24/94 cases,
25.53%).
Mean
total leukocyte count of patients was 11.18+ 4.99 x109/L and
of controls was 7.59+1.59 x109/L. Patients with lower
respiratory tract infections showed a significant increase in total WBC count (p=0.000).
Mean+
SD, p value of platelet parameters of cases and controls is presented in
table 1. Statistically significant difference was observed in PLT, MPV, PDW and
P-LCR. Cases showed higher PLT than healthy controls where as MPV, PDW and
P-LCR were lower. PCT was higher in cases, but the difference was not
significant.
Table-1: Platelet parameters in
cases and controls
Platelet parameters |
Cases (n=94) (Mean+ SD) |
Controls (n=94) (Mean+ SD) |
P Value |
PLT
(x 109 /L) |
299.85+138.77 |
257.10+
60.05 |
0.007* |
MPV
(fL) |
9.53+
1.05 |
9.98+
1.08 |
0.004* |
PDW
(fL) |
11.59
+1.80 |
12.90
+2.01 |
0.000* |
PCT
(%) |
0.27
+0.11 |
0.25
+0.57 |
0.095 |
P-LCR
(%) |
23.58
+5.90 |
26.53+
6.88 |
0.002* |
*significant
value of p (<0.05)
Patients
with leukocytosis (Group A) were 41(43.61%) and patients without leukocytosis
(Group B) were 53(56.38%). Mean TLC in group A was 15.39+ 4.33 x109/L
and in group B was 7.92+ 2.32 x109/L, the difference being
significant (p=0.000). Group A showed significantly higher values in PLT and
PCT than group B. No significant difference was observed in MPV, PDW and P-LCR
between the two groups, though higher values of PDW and lower values of MPV and
P-LCR were recorded in group A. Details are shown in table 2.
Table-2: Platelet parameters of
group A and group B
Platelet parameters |
Group A (n=41) (Mean+ SD) |
Group B (n=53) (Mean +SD) |
P Value |
PLT
(x 109 /L) |
351.60
+163.81 |
260.28
+100.71 |
0.001* |
MPV
(fL) |
9.50
+1.10 |
9.55+
1.02 |
0.836 |
PDW
(fL) |
11.64
+1.89 |
11.53+
1.73 |
0.768 |
PCT
(%) |
0.31+
0.13 |
0.23
+0.08 |
0.001* |
P-LCR
(%) |
23.50
+6.30 |
23.65
+5.63 |
0.902 |
*significant
value of p (<0.05) Group A – cases with leukocytosis, Group B – cases
without leukocytosis
When
groups A and B were compared with controls, cases with leukocytosis showed
significant alteration in all the platelet parameters than controls while cases
without leukocytosis showed significant difference only in MPV, PDW and P-LCR. TLC
and PLT were higher in both the groups than controls but the difference was significant
only in group A. MPV, PDW and P-LCR were significantly lower in both the groups
than controls. PCT was higher in group A and lower in group B than controls (Tables
3 and 4).
Table-3: Comparison of platelet
parameters between Group A (cases with Leukocytosis) and controls
Platelet parameters |
Group A (n=41) (Mean+ SD) |
Controls (n=94) (Mean +SD) |
P Value |
PLT
(x 109 /L) |
351.60
+163.81 |
257.10+
60.05 |
0.000* |
MPV
(fL) |
9.50
+1.10 |
9.98+
1.08 |
0.020* |
PDW
(fL) |
11.64
+1.89 |
12.90
+2.01 |
0.001* |
PCT
(%) |
0.31+
0.13 |
0.25
+0.57 |
0.000* |
P-LCR
(%) |
23.50
+6.30 |
26.53+
6.88 |
0.017* |
*significant
value of p (<0.05), Group A – cases with leukocytosis
Table-4: Comparison of platelet
parameters between Group B (cases without leukocytosis) and controls
Platelet parameters |
Group B (n=53) (Mean+ SD) |
Controls (n=94) (Mean +SD) |
P Value |
PLT
(x 109 /L) |
260.28
+100.71 |
257.10+
60.05 |
0.811 |
MPV
(fL) |
9.55+
1.02 |
9.98+
1.08 |
0.019* |
PDW
(fL) |
11.53+
1.73 |
12.90
+2.01 |
0.000* |
PCT
(%) |
0.23
+0.08 |
0.25
+0.57 |
0.262 |
P-LCR
(%) |
23.65
+5.63 |
26.53+
6.88 |
0.010* |
*significant
value of p (<0.05), Group B – cases without leukocytosis
Discussion
Platelets
have a well-established role in defensive response to infections. Changes
in platelet parameters can serve as markers of platelet release and activation
seen during inflammatory response. Utility of these parameters as adjunctive
inflammatory markers has been studied in various acute and chronic infectious
diseases.
Respiratory
tract infections are one of the commonest infectious diseases affecting humans.
In the present study, Streptococcus
pneumoniae was the most common organism detected (39.36%). Our findings
were similar to the results of a study done on adult patients with pneumonia in
north India [6].
In
accordance with other studies TLC was significantly higher in our cases when compared
to healthy controls [7,8]. Leukocytosis is one of the acute phase responses
seen during infections and inflammatory disorders.
Our study
revealed that platelet count was significantly higher in lower respiratory tract
infections. Similar results were shown by several other studies done in infectious
and inflammatory diseases [7,9,10]. In studies done on tuberculosis and
pneumonia patients higher PLT was recorded in tuberculosis than pneumonia.
Besides, patients with active tuberculosis showed higher PLT than those with
inactive disease [7,11].
Elevated
platelet count can be explained by the induction of megakaryopoiesis. Bacterial
entry into the body evokes an inflammatory reaction characterized by elevation
of acute phase reactants such as interleukins (IL), of which IL-6 acts on liver
to produce Thrombopoietin, a growth hormone for megakaryocytes [5,9].
Mean platelet
volume is the most widely studied of all the platelet parameters. During infections
platelets are activated and become spherical, larger which causes change in
their size, shape and volume [12,13]. MPV in our study was significantly lower in
patients compared to healthy controls. When we reviewed literature conflicting
results were seen about MPV. Studies on MPV in respiratory tract
infections such as pneumonia and tuberculosis revealed that MPV was lower in pneumonia
compared to tuberculosis and healthy controls [8,11]. Zareifar et al
[10] assessed MPV in infectious and inflammatory conditions and reported lower
MPV in the active stage of disease. In a similar study done on patients with acute
febrile illness majority showed low MPV and it was found to be in negative
correlation with platelet count. MPV levels were relatively lower in infections
caused by bacteria and mycobacteria when compared with rickettsial, parasitic
and viral infections [14]. Contrarily, higher values of MPV in infections were also
reported in some studies [15-17].
In severe acute
infection overproduction of highly active cytokines such as tumor necrosis factor
suppress megakaryopoiesis resulting in production of smaller platelets. This is
complemented by inhibitory effect of bacterial cell wall lipopolysaccharides on
platelet production [5,13]. Excessive consumption of larger activated platelets
at the sites of inflammation can be one of the possible reasons of lower mean
volume of the platelets in infectious diseases [12]. Degranulation and release
of contents is followed by destruction of activated platelets, reducing the
platelet count and MPV [4,12]. Compensatory bone marrow hyper proliferation
reflected as reactive thrombocytosis is more common during chronic phases of
infection [5].
Platelet distribution
width gives information about variation in the volume of platelets. In our
study, PDW was found to be significantly lower in cases than controls. Similarly,
Nassaji et al [17] observed lower PDW in patients with pyelonephritis. Inflammatory
conditions with higher PLT show lower PDW [14]. Variation of PDW
with the activity of disease was also studied by some authors who demonstrated
higher value in active disease and decrease in the value with treatment [11].
Plateletcrit
is a measure of volume of platelets in a unit volume of blood. It gives an idea
about mass of the circulating platelets. In the present study, higher PCT was
recorded in patients when compared with controls, however the difference was
not statistically significant. Platelet count positively correlates with PCT
[14]. Sahin et al [7] studied about PCT in tuberculosis and obtained similar results.
They also concluded that plateletcrit was more significant for tuberculosis
than other platelet indices.
P-LCR
is the proportion of platelets which are >12fL. P-LCR was observed to be significantly
lower in cases than that of control group of our study which was in accordance
to Babu et al [18] study finding of inverse relation between PLT and P-LCR. Conditions
with thrombocytosis show lower P-LCR and those with thrombocytopenia show
higher P-LCR [18,19].
Platelet
parameters were studied in relation to WBC count in some studies [7,20,21]. Our
study revealed significantly higher values of PLT and PCT in patients who had leukocytosis
than patients without leukocytosis and healthy controls. Patients without
leukocytosis also had higher PLT values than healthy people but not by a
significant difference. MPV, PDW and P-LCR showed no significant difference between
the two sub groups of patients but on comparison of each sub group with healthy
controls these parameters were found to be significantly lower. The results were
similar to that of Ozturk et al [21] study on platelet parameters in
leukocytosis.
Conclusion
·
Platelet parameters show definite
alterations in the bacterial infections of lower respiratory tract and can
serve as additional markers of inflammation.
·
Platelet parameters are determined by hematology
cell counters as a part of complete blood picture analysis which is a routine
first line investigation ordered in patients with infections. As they can be
acquired without additional cost or time, studying these parameters should be considered
in the diagnosis of lower respiratory tract infections.
·
Though leukocytosis is a classical
marker of inflammation, infections without leukocytosis also show significant change
in platelet parameters making these parameters potential alternatives to
determine inflammation associated with infectious diseases.
·
However, considering the variation in these
parameters in different types of infections, further studies are necessary to
determine the exact role of these parameters in predicting the diagnosis of
infectious diseases.
Acknowledgments – Nil
Contribution by authors-
Dr.
B Lakshmi Durga Srujana contributed to data collection and analyses, literature
review, statistical analyses & interpretation of results and preparation of
manuscript. Dr. Sushma Yalavarthi contributed to the conception & design of
the study, analyses & interpretation of results and manuscript editing. Dr.
Vasudha CL contributed to data acquisition, statistical analyses and
manuscript editing.
What this study adds
· Along
with leukocytosis and thrombocytosis plateletcrit also increases in respiratory
tract infections.
· Mean
platelet volume, platelet distribution width decrease in infections even when
there is no leukocytosis.
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