study of hematological paremeter in sepsis patients and its prognostic implications

The current study was a cross-sectional study with a sample size of 117 patients with sepsis. Various hematological parameters of all the patients were obtained on day of admission (day 1) and seventh day (day 7) using hemogram reports and the difference of their statistical mean and standard deviation was estimated.

International Journal of Research in Medical Sciences | March 2019 | Vol 7 | Issue 3 Page 1
International Journal of Research in Medical Sciences
Gupta A et al. Int J Res Med Sci. 2019 Mar;7(3):xxx-xxx
www.msjonline.org pISSN 2320-6071 | eISSN 2320-6012
Original Research Article
Study of hematological parameters in sepsis patients and
its prognostic implications
Ashish Gupta, Rahul Gupta*
INTRODUCTION
There are various physiologic, pathologic and
biochemical abnormalities caused by infection which
cumulate and lead to sepsis. The clinical signs that define
systemic inflammatory response syndrome (SIRS) are
present in sepsis and are due to either a culture-proven
infection or an infection identified clinically. SIRS is
defined by at least two of four defined parameters namely
body temperature of >38°
C or <36°
C, leucocyte count of
>12,000 cells/ cumm or <4000 cells/ cumm, heart rate
>90/min, and respiratory rate of >24/min.1
If these
symptoms are complicated by organ dysfunction and
persistent arterial hypotension, the definition of “severe
sepsis” and “septic shock” respectively are fulfilled.
Severe sepsis exists if there is sepsis plus sign of organ
hypoperfusion or dysfunction. Septic shock exists if there
is severe sepsis plus one or both of: systemic mean blood
pressure is <60mmHg (or <80mmHg if the patient has
baseline hypertension) despite adequate fluid
resuscitation and maintaining the systemic mean blood
pressure>60mmHg (or>80mmHg if the patient has
Department of Medicine, Netaji Subhash Chandra Bose Medical College, Jabalpur, Madhya Pradesh, India
Received: 25 December 2018
Accepted: 29 January 2019
*Correspondence:
Dr. Rahul Gupta,
E-mail: rahulgupta190@gmail.com
Copyright: © the author(s), publisher and licensee Medip Academy. This is an open-access article distributed under
the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial
use, distribution, and reproduction in any medium, provided the original work is properly cited.
ABSTRACT
Background: Septic response is a leading contributory factor for morbidity and mortality especially in intensive care
settings. The current research aims to study the co-relation of various hematological parameters in sepsis patients with
the objective to see their effects in prognosis of sepsis patients.
Methods: The current study was a cross-sectional study with a sample size of 117 patients with sepsis. Various
hematological parameters of all the patients were obtained on day of admission (day 1) and seventh day (day 7) using
hemogram reports and the difference of their statistical mean and standard deviation was estimated.
Results: There was a significant statistical difference in the mean and standard deviation of neutrophil lymphocyte
count ratio (NLCR), red cell distribution width standard deviation (RDW SD), Platelet count (PLT) and Platelet crit
(PCT) whereas Mean platelet volume (MPV), Platelet distribution width (PDW) and Platelet large cell ratio (PLCR)
showed no significant changes on day 1 and day 7 of observation in patients taken for the study.
Conclusions: The prognosis of sepsis can be important when we can clinch the hemogram markers early in the period
of sepsis and evaluate them according to the etiology of the respective incidences. Targeted approach can be initiated
early in the course of hospitalization and may be a specific index of hemogram could be established to further co
relate sepsis and its form in particular diseases.
Keywords: Hemogram, Neutrophil lymphocyte count ratio, Platelet indices, Prognosis, Red cell distribution width,
Sepsis
DOI: http://dx.doi.org/10.18203/2320-6012.ijrms20190001
Gupta A et al. Int J Res Med Sci. 2019 Mar;7(3):xxx-xxx
International Journal of Research in Medical Sciences | March 2019 | Vol 7 | Issue 3 Page 2
baseline hypertension) requires dopamine >5mcg/kg/min,
norepinephrine <0.25mcg/kg/min, or epinephrine
<0.25mcg/kg/min despite adequate fluid resuscitation.1
The mortality in patients with severe sepsis ranges from
28 to 50% or greater. In USA, incidence of sepsis rose by
7-8% over a period of 8 years. According to the Indian
intensive care case mix and practice patterns study
(INDICAPS), mortality in sepsis in India is 42.2%.
Early diagnosis of sepsis is vital because rapid,
appropriate therapy is associated with improved
outcome.2
There are various hematological parameters
that work as biomarkers for the prognosis of sepsis. The
current study was aimed to find the prognostic
implications of seven hematological parameters i.e.
NLCR, RDW SD, MPV, PDW, PLCR, PLT and PCT,
which had been previously supported by various other
studies. Low NLCR is found in early death and high
NLCR in late death in patients with sepsis.3
RDW levels
measured on admission can be used as a prognostic
marker in patients with severe sepsis and septic shock.4
An increase in MPV in patients with sepsis had been
shown in a study.5
PDW and PLCR show increased
trends, while PCT and PLT decrease in the non-survivor
group.6
METHODS
The present study is a cross-sectional observational study
done at Netaji Subhash Chandra Bose Medical College,
Jabalpur between March 2017 to August 2018.
The study was conducted in 117 patients with sepsis after
obtaining permission from the Institutional ethics
committee. Sample size was determined by using the
formula z2
pq/d2
considering the prevalence rate of sepsis
as 25%. All the patients in the study were diagnosed with
sepsis (selection done on the basis of TLC >12,000,
<4000, temperature >38°C or <36°C, heart rate >90per
min, respiratory rate > 24 per min) and required
admissions in either intensive care unit or wards of the
hospital for more than seven days.
The patients were observed from the day of admission
(day 1) up to the primary end point, defined as either
discharged or death during course of hospitalization.
Procedure
All subjects after screening for inclusion and exclusion
criteria were asked for detailed history after obtaining
their consent in a prescribed consent form. Their
complete hemogram was obtained by taking 2ml of blood
sample from the anticubital vein of the patients after all
aseptic precautions. Samples were collected in EDTA
vials, kept at room temperature. The printout reports of
samples fed to MINDRAY-BC 3600 autoanalyzer were
collected and analyzed. The results of all the patients
were pooled and various hematological parameters were
obtained. Data was recorded for all patients in a
prescribed proforma. Among the various hematological
parameters, further meticulous observation was carried
out for seven parameters.
Statistical analysis
All the records were rechecked for their completeness.
Non-numeric entries were coded numerically into
nominal/ordinal distribution using SPSS software before
analysis. Continuous variable was analyzed using mean
±standard deviation (SD) with inter quartile range as
appropriate. Mean difference between two independent
groups (day 1 and day 7) were analyzed by using
independent paired t-test after the normalized distribution
otherwise non-parametric test was applied.
Odds ratio with 95% confidence limits were analyzed to
find out the potential risk factors. For testing the null
hypothesis, critical value for alpha 0.05 (type I error) and
95% confidence limit was applied.
RESULTS
A significant difference in the mean and SD of NLCR in
the survivor and total patient groups was observed on day
1 and day 7 which indicates its positive prognostic
implication in patients with sepsis. There was a
significant increase in RDW SD in the non-survivor
group with no statistical level of significance for the total
and survivor group of septic patients. There were no
significant differences in the mean and SD values of
MPV, PDW and PLCR on observation day 1 and 7 which
summarizes that they had no considerable prognostic
implication in patients with sepsis.
However, there was a significant difference in PLT in the
statistical paired comparison of mean and SD on day 1
and 7 of observation in survivor group with no
remarkable variations in the total and non-survivor group.
A noticeable statistical difference in the PCT mean and
SD values of observation on day 1 and 7 was obtained in
the total and survivor group with no significant
differences in the respective values of non-survivor group
in patients with sepsis (Table 1).
DISCUSSION
In this study, 66 patients (56.41%) were males and 51
patients (43.58%) were females.
This finding can be correlated with the fact that in
general, admission rates in our hospital were higher for
males than females.
Also, in Indian rural setup exposure to environmental and
other factors which will directly or indirectly facilitate
sepsis process is more for males than females. However,
there can be other factors responsible for this such as co
morbid conditions in males and immunological factors
Gupta A et al. Int J Res Med Sci. 2019 Mar;7(3):xxx-xxx
International Journal of Research in Medical Sciences | March 2019 | Vol 7 | Issue 3 Page 3
that need to be studied. In survivor group, 51 patients i.e.
54.25% were male and 43 patients i.e. 45.74% were
female. In non-survivor group 15 patients i.e. 62.21%
were male and 08 patients i.e. 45.74% were female
(Figure 1). In the study of Padkin et al, there was a
predominance of men (58.8%) in their cohort of patients
with severe sepsis.7
In a study by Sinha M et al, male
patients were more with male-female ratio of 28:12.8
Most of the patients in the study population were in the
age group of 46 to 60 years i.e. 32 patients (27.35%)
(Figure 2).
Table 1: Mean and SD on day 1 and day 7 along with their p values for total, survivor and non-survivor groups.
Parameter Group Day 1 Mean±SD Day 7 Mean±SD P value
Total 9.40±9.21 6.95±5.67 0.003
NLCR
Survivor 8.44±8.46 5.75±4.37 0.002
Non-survivor 13.29±11.14 11.88±7.57 0.514
Total 58.52±9.84 59.50±10.01 0.151
RDW SD
Survivor 59.05±10.37 59.59±10.60 0.483
Non-survivor 56.39±7.11 59.11±7.29 0.043
Total 10.51±1.71 11.36±8.00 0.260
MPV
Survivor 10.39±1.76 11.49±8.90 0.243
Non-survivor 10.98±1.47 10.83±1.73 0.568
Total 16.20±0.87 16.33±0.64 0.116
PDW
Survivor 16.24±0.61 16.32±0.65 0.314
Non-survivor 16.01±1.54 16.40±0.59 0.236
Total 41.15±10.78 42.07±11.75 0.357
PLCR
Survivor 40.52±10.22 42.03±11.66 0.180
Non-survivor 43.70±12.73 42.25±12.41 0.524
Total 258.23±168.75 278.44±172.30 0.100
PLT
Survivor 262.30±179.79 291.09±182.92 0.035
Non-survivor 241.61±114.59 226.78±107.76 0.603
Total 2.61±1.50 2.87±1.43 0.004
PCT
Survivor 2.54±1.58 2.96±1.48 0.002
Non-survivor 2.40±1.10 2.50±1.17 0.779
Figure 1: Sex wise distribution of survival (54.25%
male and 45.74% female), non-survival (65.21% male
and 34.78% female), and total (56.41% male and
43.58% female) patients with sepsis included in
the study.
Figure 2: Age wise distribution of the total patients in
the study.
This probably infers the occurrence of sepsis mostly in
the older age group in this study. However, this might be
a case selection bias and not necessarily has any inference
on the severity of the illness. A western study reported a
higher incidence of sepsis in patients aged above 57
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
Survival Non survival Total
54.25%
65.21%
56.41%
45.74%
34.78%
43.58%
Male Female
15-30 yrs
31-45 yrs
46-60 yrs
>60 yrs
27.35%
26.49%
25.64%
20.51%
Gupta A et al. Int J Res Med Sci. 2019 Mar;7(3):xxx-xxx
International Journal of Research in Medical Sciences | March 2019 | Vol 7 | Issue 3 Page 4
years.9
The mean age in an epidemiological study of
sepsis in India was 54.9 years.10
In a study conducted in
Karnataka, India by Sudhir U et al, in 2011 highest
number of patients were in the age group of 50 to 59
years.11
In another study by Meynaar IA et al, mean age
of patients with sepsis was 65 and those with SIRS were
62 years.12
The statistical analysis finding of NLCR suggested that
there was an overall increase in NLCR in patients with
sepsis as observed on day of admission (day 1) and
seventh day (day 7) in all the three observation groups
taken for study. This finding was consistent with study by
Florence Riché et al, which showed that septic shock
patients at risk of early death had a low NLCR at
admission, although late death was associated with an
increased NLCR during the first 5 days.3
Another study
by Liu X et al, showed Increased NLR levels were
independently associated with unfavorable clinical
prognosis in patients with sepsis. Further investigation is
required to increase understanding of the
pathophysiology of this relationship.13
An overall increase in the RDW SD values for all the
three groups correlate with the findings made by Shaikh
MA et al, which concluded that RDW levels measured on
admission can be used as a prognostic marker in patients
in severe sepsis and septic shock.4
However, there was no statistically significant difference
in the MPV values on day 1 and day 7 but the overall
mean and SD was higher in non-survivor group as
compared to that of survivor group with sepsis. A study
by Gao Y et al, (2014) showed that MPV in the non-
survivor group was higher than that of the survivor
group.6
The statistical analysis finding suggest that there is no
significant change in PDW in patients with sepsis as
observed on day of admission day 1 and seventh day (day
7) in all the three observation groups taken for study.
These results were contradictory with the findings of a
study by Guclu E et al, where MPV and PDW were
significantly different between sepsis patients and control
group (P<0.05). PDW was the unique significantly
different parameter between survivors and non-survivors
(P=0.001).14
The statistical analysis finding of PLT suggested that
there was significant change in mean PLT only in
survivor group patients with sepsis and not in total and
non-survivor groups as observed on day of admission
(day1) and seventh day (day7). A study by Guclu E et al,
(2013) showed that platelet count in sepsis patients was
lower than control group, but the difference was not
significant.14
A poor prognostic implication was observed for PLCR
with no significant statistical difference on day 1 and day
7 of admission for all the three groups whereas the PCT
values showed significant P values only for total and
survivor patients’ groups. A study by Gao Y et al, in
2014 concluded that different change trends of platelet
parameters can be seen between the non-survivors and
survivors of septic shock patients. If PDW, PLCR and
MPV show increased trend while PLT and PCT show
decreased trend, a poor prognosis maybe indicated.6
CONCLUSION
Sepsis is a major cause of admissions to ICU and
emergency wards in any tertiary care center with a
significant mortality and morbidity. Though guidelines
for management of these patients have been updated but
still mortality rate remains high. Existing markers for
prognosis and disease severity assessment scores are not
always available at all centers. The prediction of outcome
for patients with sepsis using easily available and reliable
marker may facilitate more aggressive interventions made
at appropriate time. Various hematological parameters
have been found to be associated with outcome in
patients with critical illness and sepsis in many previous
studies, also it is routinely reported as part of complete
blood count and widely available to physicians without
addition of any extra cost for investigations purpose.
ACKNOWLEDGEMENTS
Authors would like to thank staff working in Department
of Medicine and pathology lab for hemogram testing at
Netaji Subhash Chandra Bose Medical College and
Himani Bansal.
Funding: No funding sources
Conflict of interest: None declared
Ethical approval: The study was approved by the Ethics
Committee of Netaji Subhash Chandra Bose Medical
College, Jabalpur, Madhya Pradesh
REFERENCES
1. Bone RC, Balk RA, Cerra FB, Dellinger RP, Fein
AM, Knaus WA, et al. Definitions for sepsis and
organ failure and guidelines for the use of
innovative therapies in sepsis. Chest.
1992;101(6):1644-55.
2. Dellinger RP, Levy MM, Carlet JM, Bion J, Parker
MM, Jaeschke R, et al. Surviving sepsis campaign:
international guidelines for management of severe
sepsis and septic shock. Intensive Care Med.
2008;34(1):17-60.
3. Riché F, Gayat E, Barthélémy R, Le Dorze M,
Matéo J, Payen D. Reversal of neutrophil-to-
lymphocyte count ratio in early versus late death
from septic shock. Crit Care. 2015;19(1):439.
4. Shaikh MA, Yadavalli DR. Red cell distribution
width as a prognostic marker in severe sepsis and
septic shock. Int J Adv Med. 2017;4(3):750.
5. Kim CH, Kim SJ, Lee MJ, Kwon YE, Kim YL,
Park KS, et al. An increase in mean platelet volume
Gupta A et al. Int J Res Med Sci. 2019 Mar;7(3):xxx-xxx
International Journal of Research in Medical Sciences | March 2019 | Vol 7 | Issue 3 Page 5
from baseline is associated with mortality in patients
with severe sepsis or septic shock. PLoS One.
2015;10(3):e0119437.
6. Gao Y, Li Y, Yu X, Guo S, Ji X, Sun T, et al. The
impact of various platelet indices as prognostic
markers of septic shock. PLoS One.
2014;9(8):e103761.
7. Padkin A, Goldfrad C, Brady AR, Young D, Black
N, Rowan K. Epidemiology of severe sepsis
occurring in the first 24 hrs in intensive care units in
England, wales, and Northern Ireland. Critical Care
Med. 2003;31(9):2332-8.
8. Sinha M, Desai S, Mantri S, Kulkarni A. (2011).
Procalcitonin as an adjunctive biomarker in sepsis.
Indian J Anaesthesia. 2011;55(3):266.
9. Martin GS, Mannino DM, Eaton S, Moss M. The
epidemiology of sepsis in the United States from
1979 through 2000. New England J Med.
2003;348(16):1546-54.
10. Todi S, Chatterjee S, Bhattacharyya M.
Epidemiology of severe sepsis in India. Crit Care.
2007;11(2):P65.
11. Sudhir U, Venkatachalaiah RK, Kumar TA, Rao
MY, Kempegowda P.Significance of serum
procalcitonin in sepsis. Indian J Crit Care Med.
2011;15(1):1-5.
12. Meynaar IA, Droog W, Batstra M, Vreede R,
Herbrink P. In critically ill patients, serum
procalcitonin is more useful in differentiating
between sepsis and SIRS than CRP, Il-6, or LBP.
Crit Care Res Practice. 2011;2011.
13. Liu X, Shen Y, Wang H, Ge Q, Fei A, Pan S.
Prognostic significance of neutrophil-to-lymphocyte
ratio in patients with sepsis: a prospective
observational study. Mediators Inflammation.
2016;2016.
14. Guclu E, Durmaz Y, Karabay O. Effect of severe
sepsis on platelet count and their indices. Afr Health
Sci. 2013;13(2):333-8.
Cite this article as: Gupta A, Gupta R. Study of
hematological parameters in sepsis patients and its
prognostic implications. Int J Res Med Sci
2019;7:xxx-xx.

Recommandé

Complete thesisOpmaakV7 par
Complete thesisOpmaakV7Complete thesisOpmaakV7
Complete thesisOpmaakV7Janneke Cox
449 vues154 diapositives
Predictors and Outcomes of Pediatric COVID 19 Cases in Recent Scenario: Syst... par
 Predictors and Outcomes of Pediatric COVID 19 Cases in Recent Scenario: Syst... Predictors and Outcomes of Pediatric COVID 19 Cases in Recent Scenario: Syst...
Predictors and Outcomes of Pediatric COVID 19 Cases in Recent Scenario: Syst...DrHeena tiwari
93 vues7 diapositives
Observacional de ivermectina par
Observacional de ivermectinaObservacional de ivermectina
Observacional de ivermectinaFreddy Flores Malpartida
63 vues12 diapositives
Atb y resistencia en neumonias virales par
Atb y resistencia en neumonias viralesAtb y resistencia en neumonias virales
Atb y resistencia en neumonias viralesAlex Castañeda-Sabogal
497 vues11 diapositives
10.1016@j.ijid.2020.06.099 par
10.1016@j.ijid.2020.06.09910.1016@j.ijid.2020.06.099
10.1016@j.ijid.2020.06.099MattisHallsteinVolla
90 vues32 diapositives
Biomarkers for Scleroderma par
Biomarkers for SclerodermaBiomarkers for Scleroderma
Biomarkers for SclerodermaScleroderma Foundation of Greater Chicago
527 vues64 diapositives

Contenu connexe

Tendances

Prevalence of cryptococcal meningitis among people living with human immunode... par
Prevalence of cryptococcal meningitis among people living with human immunode...Prevalence of cryptococcal meningitis among people living with human immunode...
Prevalence of cryptococcal meningitis among people living with human immunode...Dr Muktikesh Dash, MD, PGDFM
402 vues6 diapositives
Tto tbc nejm par
Tto tbc nejmTto tbc nejm
Tto tbc nejmAlex Castañeda-Sabogal
565 vues12 diapositives
GWAMAKA IRON PAPER par
GWAMAKA  IRON PAPERGWAMAKA  IRON PAPER
GWAMAKA IRON PAPERGwamaka Moses
81 vues8 diapositives
CD8 y CMV en VIH par
CD8 y CMV en VIHCD8 y CMV en VIH
CD8 y CMV en VIHAlex Castañeda-Sabogal
281 vues5 diapositives
Etiologia de la celulitis y Predicción clínica de la enfermedad Estreptocócic... par
Etiologia de la celulitis y Predicción clínica de la enfermedad Estreptocócic...Etiologia de la celulitis y Predicción clínica de la enfermedad Estreptocócic...
Etiologia de la celulitis y Predicción clínica de la enfermedad Estreptocócic...Alex Castañeda-Sabogal
353 vues9 diapositives
doi: 10.1101/2021.05.28.21258012 par
doi: 10.1101/2021.05.28.21258012doi: 10.1101/2021.05.28.21258012
doi: 10.1101/2021.05.28.21258012MattisHallsteinVolla
91 vues35 diapositives

Tendances(20)

Etiologia de la celulitis y Predicción clínica de la enfermedad Estreptocócic... par Alex Castañeda-Sabogal
Etiologia de la celulitis y Predicción clínica de la enfermedad Estreptocócic...Etiologia de la celulitis y Predicción clínica de la enfermedad Estreptocócic...
Etiologia de la celulitis y Predicción clínica de la enfermedad Estreptocócic...
A trial of Lopinavir-Ritonavir in Adults Hospitalized with Sever COVID-19 par Valentina Corona
A trial of Lopinavir-Ritonavir in Adults Hospitalized with Sever COVID-19A trial of Lopinavir-Ritonavir in Adults Hospitalized with Sever COVID-19
A trial of Lopinavir-Ritonavir in Adults Hospitalized with Sever COVID-19
Valentina Corona2.2K vues
CNS Iinfection dengue, Teaching Slides, Dr M D Mohire, Kolhapur, Maharashtra,... par Mahavir Mohire
CNS Iinfection dengue, Teaching Slides, Dr M D Mohire, Kolhapur, Maharashtra,...CNS Iinfection dengue, Teaching Slides, Dr M D Mohire, Kolhapur, Maharashtra,...
CNS Iinfection dengue, Teaching Slides, Dr M D Mohire, Kolhapur, Maharashtra,...
Mahavir Mohire139 vues
A Clinical Study: Tumour Necrosis Factor Alpha as a Clinical Marker in Malari... par iosrjce
A Clinical Study: Tumour Necrosis Factor Alpha as a Clinical Marker in Malari...A Clinical Study: Tumour Necrosis Factor Alpha as a Clinical Marker in Malari...
A Clinical Study: Tumour Necrosis Factor Alpha as a Clinical Marker in Malari...
iosrjce233 vues
Strategies to reduce CIED infection, PADIT Trial by Haseeb Raza par Haseeb Raza
Strategies to reduce CIED infection, PADIT Trial by Haseeb RazaStrategies to reduce CIED infection, PADIT Trial by Haseeb Raza
Strategies to reduce CIED infection, PADIT Trial by Haseeb Raza
Haseeb Raza44 vues
Covid 19 and renin-angiotensin system inhibition role of angiotensin convert... par Francesco Megna
Covid 19 and renin-angiotensin system inhibition  role of angiotensin convert...Covid 19 and renin-angiotensin system inhibition  role of angiotensin convert...
Covid 19 and renin-angiotensin system inhibition role of angiotensin convert...
Francesco Megna1.2K vues
Detection of hepatitis b surface antigen (hbs ag) and hepatitis c par Alexander Decker
Detection of hepatitis b surface antigen (hbs ag) and hepatitis cDetection of hepatitis b surface antigen (hbs ag) and hepatitis c
Detection of hepatitis b surface antigen (hbs ag) and hepatitis c
Alexander Decker304 vues
cardiac implantable electronic device infections par Harish Oruganti
cardiac implantable electronic device infectionscardiac implantable electronic device infections
cardiac implantable electronic device infections
Harish Oruganti1.3K vues
Upsurge of chikungunya cases in Uttar Pradesh, India par Ahmad Ozair
Upsurge of chikungunya cases in Uttar Pradesh, IndiaUpsurge of chikungunya cases in Uttar Pradesh, India
Upsurge of chikungunya cases in Uttar Pradesh, India
Ahmad Ozair58 vues
Csf ada in tbm with hiv infection par DR RML DELHI
Csf ada in tbm with hiv infectionCsf ada in tbm with hiv infection
Csf ada in tbm with hiv infection
DR RML DELHI19 vues

Similaire à study of hematological paremeter in sepsis patients and its prognostic implications

Comparison of Infection Episodes in CKD Patients with or without Hemodialysis... par
Comparison of Infection Episodes in CKD Patients with or without Hemodialysis...Comparison of Infection Episodes in CKD Patients with or without Hemodialysis...
Comparison of Infection Episodes in CKD Patients with or without Hemodialysis...ijtsrd
31 vues3 diapositives
poster presentation Study of hematological parameters in sepsis patients and... par
 poster presentation Study of hematological parameters in sepsis patients and... poster presentation Study of hematological parameters in sepsis patients and...
poster presentation Study of hematological parameters in sepsis patients and...RahulGupta1687
217 vues1 diapositive
A Study On Clinical Profile Of Sepsis Patients In Intensive Care Unit Of A Te... par
A Study On Clinical Profile Of Sepsis Patients In Intensive Care Unit Of A Te...A Study On Clinical Profile Of Sepsis Patients In Intensive Care Unit Of A Te...
A Study On Clinical Profile Of Sepsis Patients In Intensive Care Unit Of A Te...dbpublications
32 vues11 diapositives
PROGNOSTIC VALUE OF PERIPHERAL BLOOD BLAST PERCENTAGE ON DAY 8 IN LONG TERM ... par
PROGNOSTIC VALUE OF PERIPHERAL BLOOD BLAST  PERCENTAGE ON DAY 8 IN LONG TERM ...PROGNOSTIC VALUE OF PERIPHERAL BLOOD BLAST  PERCENTAGE ON DAY 8 IN LONG TERM ...
PROGNOSTIC VALUE OF PERIPHERAL BLOOD BLAST PERCENTAGE ON DAY 8 IN LONG TERM ...NeetiVaghela
49 vues9 diapositives
PROCALCITONINA par
PROCALCITONINAPROCALCITONINA
PROCALCITONINAJose Carlos Sermenho Cerqueira
282 vues4 diapositives
THE RELATIONSHIP OF SIC and CLINICAL OUTCOME.docx par
THE RELATIONSHIP OF SIC and CLINICAL OUTCOME.docxTHE RELATIONSHIP OF SIC and CLINICAL OUTCOME.docx
THE RELATIONSHIP OF SIC and CLINICAL OUTCOME.docxyudistiraanwar1
5 vues13 diapositives

Similaire à study of hematological paremeter in sepsis patients and its prognostic implications(20)

Comparison of Infection Episodes in CKD Patients with or without Hemodialysis... par ijtsrd
Comparison of Infection Episodes in CKD Patients with or without Hemodialysis...Comparison of Infection Episodes in CKD Patients with or without Hemodialysis...
Comparison of Infection Episodes in CKD Patients with or without Hemodialysis...
ijtsrd31 vues
poster presentation Study of hematological parameters in sepsis patients and... par RahulGupta1687
 poster presentation Study of hematological parameters in sepsis patients and... poster presentation Study of hematological parameters in sepsis patients and...
poster presentation Study of hematological parameters in sepsis patients and...
RahulGupta1687217 vues
A Study On Clinical Profile Of Sepsis Patients In Intensive Care Unit Of A Te... par dbpublications
A Study On Clinical Profile Of Sepsis Patients In Intensive Care Unit Of A Te...A Study On Clinical Profile Of Sepsis Patients In Intensive Care Unit Of A Te...
A Study On Clinical Profile Of Sepsis Patients In Intensive Care Unit Of A Te...
dbpublications32 vues
PROGNOSTIC VALUE OF PERIPHERAL BLOOD BLAST PERCENTAGE ON DAY 8 IN LONG TERM ... par NeetiVaghela
PROGNOSTIC VALUE OF PERIPHERAL BLOOD BLAST  PERCENTAGE ON DAY 8 IN LONG TERM ...PROGNOSTIC VALUE OF PERIPHERAL BLOOD BLAST  PERCENTAGE ON DAY 8 IN LONG TERM ...
PROGNOSTIC VALUE OF PERIPHERAL BLOOD BLAST PERCENTAGE ON DAY 8 IN LONG TERM ...
NeetiVaghela49 vues
THE RELATIONSHIP OF SIC and CLINICAL OUTCOME.docx par yudistiraanwar1
THE RELATIONSHIP OF SIC and CLINICAL OUTCOME.docxTHE RELATIONSHIP OF SIC and CLINICAL OUTCOME.docx
THE RELATIONSHIP OF SIC and CLINICAL OUTCOME.docx
Critical Care-2015-Mare et al. par Tracey Mare
Critical Care-2015-Mare et al.Critical Care-2015-Mare et al.
Critical Care-2015-Mare et al.
Tracey Mare58 vues
Application of ordinal logistic=China.pdf par HenokBuno
Application of ordinal logistic=China.pdfApplication of ordinal logistic=China.pdf
Application of ordinal logistic=China.pdf
HenokBuno12 vues
4-Journal of Medical Virology - 2021 - Zhang - Using different machine learni... par JafarAbbas18
4-Journal of Medical Virology - 2021 - Zhang - Using different machine learni...4-Journal of Medical Virology - 2021 - Zhang - Using different machine learni...
4-Journal of Medical Virology - 2021 - Zhang - Using different machine learni...
JafarAbbas1823 vues
Serum Procalcitonin as a marker of infection in chronic kidney disease patien... par iosrjce
Serum Procalcitonin as a marker of infection in chronic kidney disease patien...Serum Procalcitonin as a marker of infection in chronic kidney disease patien...
Serum Procalcitonin as a marker of infection in chronic kidney disease patien...
iosrjce401 vues
Secondary Malignancy after Treatment of Prostate Cancer. Radical Prostatectom... par asclepiuspdfs
Secondary Malignancy after Treatment of Prostate Cancer. Radical Prostatectom...Secondary Malignancy after Treatment of Prostate Cancer. Radical Prostatectom...
Secondary Malignancy after Treatment of Prostate Cancer. Radical Prostatectom...
asclepiuspdfs56 vues

Dernier

Small Intestine.pptx par
Small Intestine.pptxSmall Intestine.pptx
Small Intestine.pptxMathew Joseph
181 vues50 diapositives
CRANIAL NERVE EXAMINATION.pptx par
CRANIAL NERVE EXAMINATION.pptxCRANIAL NERVE EXAMINATION.pptx
CRANIAL NERVE EXAMINATION.pptxNerusu sai priyanka
177 vues30 diapositives
Thrives Priority Areas: Behavioral Health par
Thrives Priority Areas: Behavioral HealthThrives Priority Areas: Behavioral Health
Thrives Priority Areas: Behavioral HealthCity of Chesapeake
53 vues22 diapositives
General Anaesthesia par
General Anaesthesia General Anaesthesia
General Anaesthesia P.N.DESHMUKH
8 vues8 diapositives
DEBATE IN CA BLADDER TMT VS CYSTECTOMY par
DEBATE IN CA BLADDER TMT VS CYSTECTOMYDEBATE IN CA BLADDER TMT VS CYSTECTOMY
DEBATE IN CA BLADDER TMT VS CYSTECTOMYKanhu Charan
40 vues42 diapositives
Obesity.pdf par
Obesity.pdfObesity.pdf
Obesity.pdfRutvikunvar Raualji (PT)
104 vues30 diapositives

Dernier(20)

DEBATE IN CA BLADDER TMT VS CYSTECTOMY par Kanhu Charan
DEBATE IN CA BLADDER TMT VS CYSTECTOMYDEBATE IN CA BLADDER TMT VS CYSTECTOMY
DEBATE IN CA BLADDER TMT VS CYSTECTOMY
Kanhu Charan40 vues
Complications & Solutions in Laparoscopic Hernia Surgery.pptx par Varunraju9
Complications & Solutions in Laparoscopic Hernia Surgery.pptxComplications & Solutions in Laparoscopic Hernia Surgery.pptx
Complications & Solutions in Laparoscopic Hernia Surgery.pptx
Varunraju9122 vues
VarSeq 2.5.0: VSClinical AMP Workflow from the User Perspective par Golden Helix
VarSeq 2.5.0: VSClinical AMP Workflow from the User PerspectiveVarSeq 2.5.0: VSClinical AMP Workflow from the User Perspective
VarSeq 2.5.0: VSClinical AMP Workflow from the User Perspective
Golden Helix72 vues
BUKTI SOSIALISASI KODE ETIK DAN PERATURAN INTERNAL.docx 4,2,C.docx par InkhaRina
BUKTI SOSIALISASI KODE ETIK DAN PERATURAN INTERNAL.docx 4,2,C.docxBUKTI SOSIALISASI KODE ETIK DAN PERATURAN INTERNAL.docx 4,2,C.docx
BUKTI SOSIALISASI KODE ETIK DAN PERATURAN INTERNAL.docx 4,2,C.docx
InkhaRina36 vues
Taking Action to Improve the Patient Journey With Transthyretin Amyloidosis (... par PeerVoice
Taking Action to Improve the Patient Journey With Transthyretin Amyloidosis (...Taking Action to Improve the Patient Journey With Transthyretin Amyloidosis (...
Taking Action to Improve the Patient Journey With Transthyretin Amyloidosis (...
PeerVoice11 vues
Pharma Franchise For Critical Care Medicine | Saphnix Lifesciences par Saphnix Lifesciences
Pharma Franchise For Critical Care Medicine | Saphnix LifesciencesPharma Franchise For Critical Care Medicine | Saphnix Lifesciences
Pharma Franchise For Critical Care Medicine | Saphnix Lifesciences
Top Ayurvedic PCD Companies in India Riding the Wave of Wellness Trends par muskansbl01
Top Ayurvedic PCD Companies in India Riding the Wave of Wellness TrendsTop Ayurvedic PCD Companies in India Riding the Wave of Wellness Trends
Top Ayurvedic PCD Companies in India Riding the Wave of Wellness Trends
muskansbl0139 vues
PATIENTCOUNSELLING in.pptx par skShashi1
PATIENTCOUNSELLING  in.pptxPATIENTCOUNSELLING  in.pptx
PATIENTCOUNSELLING in.pptx
skShashi119 vues
eTEP -RS Dr.TVR.pptx par Varunraju9
eTEP -RS Dr.TVR.pptxeTEP -RS Dr.TVR.pptx
eTEP -RS Dr.TVR.pptx
Varunraju9141 vues

study of hematological paremeter in sepsis patients and its prognostic implications

  • 1. International Journal of Research in Medical Sciences | March 2019 | Vol 7 | Issue 3 Page 1 International Journal of Research in Medical Sciences Gupta A et al. Int J Res Med Sci. 2019 Mar;7(3):xxx-xxx www.msjonline.org pISSN 2320-6071 | eISSN 2320-6012 Original Research Article Study of hematological parameters in sepsis patients and its prognostic implications Ashish Gupta, Rahul Gupta* INTRODUCTION There are various physiologic, pathologic and biochemical abnormalities caused by infection which cumulate and lead to sepsis. The clinical signs that define systemic inflammatory response syndrome (SIRS) are present in sepsis and are due to either a culture-proven infection or an infection identified clinically. SIRS is defined by at least two of four defined parameters namely body temperature of >38° C or <36° C, leucocyte count of >12,000 cells/ cumm or <4000 cells/ cumm, heart rate >90/min, and respiratory rate of >24/min.1 If these symptoms are complicated by organ dysfunction and persistent arterial hypotension, the definition of “severe sepsis” and “septic shock” respectively are fulfilled. Severe sepsis exists if there is sepsis plus sign of organ hypoperfusion or dysfunction. Septic shock exists if there is severe sepsis plus one or both of: systemic mean blood pressure is <60mmHg (or <80mmHg if the patient has baseline hypertension) despite adequate fluid resuscitation and maintaining the systemic mean blood pressure>60mmHg (or>80mmHg if the patient has Department of Medicine, Netaji Subhash Chandra Bose Medical College, Jabalpur, Madhya Pradesh, India Received: 25 December 2018 Accepted: 29 January 2019 *Correspondence: Dr. Rahul Gupta, E-mail: rahulgupta190@gmail.com Copyright: © the author(s), publisher and licensee Medip Academy. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. ABSTRACT Background: Septic response is a leading contributory factor for morbidity and mortality especially in intensive care settings. The current research aims to study the co-relation of various hematological parameters in sepsis patients with the objective to see their effects in prognosis of sepsis patients. Methods: The current study was a cross-sectional study with a sample size of 117 patients with sepsis. Various hematological parameters of all the patients were obtained on day of admission (day 1) and seventh day (day 7) using hemogram reports and the difference of their statistical mean and standard deviation was estimated. Results: There was a significant statistical difference in the mean and standard deviation of neutrophil lymphocyte count ratio (NLCR), red cell distribution width standard deviation (RDW SD), Platelet count (PLT) and Platelet crit (PCT) whereas Mean platelet volume (MPV), Platelet distribution width (PDW) and Platelet large cell ratio (PLCR) showed no significant changes on day 1 and day 7 of observation in patients taken for the study. Conclusions: The prognosis of sepsis can be important when we can clinch the hemogram markers early in the period of sepsis and evaluate them according to the etiology of the respective incidences. Targeted approach can be initiated early in the course of hospitalization and may be a specific index of hemogram could be established to further co relate sepsis and its form in particular diseases. Keywords: Hemogram, Neutrophil lymphocyte count ratio, Platelet indices, Prognosis, Red cell distribution width, Sepsis DOI: http://dx.doi.org/10.18203/2320-6012.ijrms20190001
  • 2. Gupta A et al. Int J Res Med Sci. 2019 Mar;7(3):xxx-xxx International Journal of Research in Medical Sciences | March 2019 | Vol 7 | Issue 3 Page 2 baseline hypertension) requires dopamine >5mcg/kg/min, norepinephrine <0.25mcg/kg/min, or epinephrine <0.25mcg/kg/min despite adequate fluid resuscitation.1 The mortality in patients with severe sepsis ranges from 28 to 50% or greater. In USA, incidence of sepsis rose by 7-8% over a period of 8 years. According to the Indian intensive care case mix and practice patterns study (INDICAPS), mortality in sepsis in India is 42.2%. Early diagnosis of sepsis is vital because rapid, appropriate therapy is associated with improved outcome.2 There are various hematological parameters that work as biomarkers for the prognosis of sepsis. The current study was aimed to find the prognostic implications of seven hematological parameters i.e. NLCR, RDW SD, MPV, PDW, PLCR, PLT and PCT, which had been previously supported by various other studies. Low NLCR is found in early death and high NLCR in late death in patients with sepsis.3 RDW levels measured on admission can be used as a prognostic marker in patients with severe sepsis and septic shock.4 An increase in MPV in patients with sepsis had been shown in a study.5 PDW and PLCR show increased trends, while PCT and PLT decrease in the non-survivor group.6 METHODS The present study is a cross-sectional observational study done at Netaji Subhash Chandra Bose Medical College, Jabalpur between March 2017 to August 2018. The study was conducted in 117 patients with sepsis after obtaining permission from the Institutional ethics committee. Sample size was determined by using the formula z2 pq/d2 considering the prevalence rate of sepsis as 25%. All the patients in the study were diagnosed with sepsis (selection done on the basis of TLC >12,000, <4000, temperature >38°C or <36°C, heart rate >90per min, respiratory rate > 24 per min) and required admissions in either intensive care unit or wards of the hospital for more than seven days. The patients were observed from the day of admission (day 1) up to the primary end point, defined as either discharged or death during course of hospitalization. Procedure All subjects after screening for inclusion and exclusion criteria were asked for detailed history after obtaining their consent in a prescribed consent form. Their complete hemogram was obtained by taking 2ml of blood sample from the anticubital vein of the patients after all aseptic precautions. Samples were collected in EDTA vials, kept at room temperature. The printout reports of samples fed to MINDRAY-BC 3600 autoanalyzer were collected and analyzed. The results of all the patients were pooled and various hematological parameters were obtained. Data was recorded for all patients in a prescribed proforma. Among the various hematological parameters, further meticulous observation was carried out for seven parameters. Statistical analysis All the records were rechecked for their completeness. Non-numeric entries were coded numerically into nominal/ordinal distribution using SPSS software before analysis. Continuous variable was analyzed using mean ±standard deviation (SD) with inter quartile range as appropriate. Mean difference between two independent groups (day 1 and day 7) were analyzed by using independent paired t-test after the normalized distribution otherwise non-parametric test was applied. Odds ratio with 95% confidence limits were analyzed to find out the potential risk factors. For testing the null hypothesis, critical value for alpha 0.05 (type I error) and 95% confidence limit was applied. RESULTS A significant difference in the mean and SD of NLCR in the survivor and total patient groups was observed on day 1 and day 7 which indicates its positive prognostic implication in patients with sepsis. There was a significant increase in RDW SD in the non-survivor group with no statistical level of significance for the total and survivor group of septic patients. There were no significant differences in the mean and SD values of MPV, PDW and PLCR on observation day 1 and 7 which summarizes that they had no considerable prognostic implication in patients with sepsis. However, there was a significant difference in PLT in the statistical paired comparison of mean and SD on day 1 and 7 of observation in survivor group with no remarkable variations in the total and non-survivor group. A noticeable statistical difference in the PCT mean and SD values of observation on day 1 and 7 was obtained in the total and survivor group with no significant differences in the respective values of non-survivor group in patients with sepsis (Table 1). DISCUSSION In this study, 66 patients (56.41%) were males and 51 patients (43.58%) were females. This finding can be correlated with the fact that in general, admission rates in our hospital were higher for males than females. Also, in Indian rural setup exposure to environmental and other factors which will directly or indirectly facilitate sepsis process is more for males than females. However, there can be other factors responsible for this such as co morbid conditions in males and immunological factors
  • 3. Gupta A et al. Int J Res Med Sci. 2019 Mar;7(3):xxx-xxx International Journal of Research in Medical Sciences | March 2019 | Vol 7 | Issue 3 Page 3 that need to be studied. In survivor group, 51 patients i.e. 54.25% were male and 43 patients i.e. 45.74% were female. In non-survivor group 15 patients i.e. 62.21% were male and 08 patients i.e. 45.74% were female (Figure 1). In the study of Padkin et al, there was a predominance of men (58.8%) in their cohort of patients with severe sepsis.7 In a study by Sinha M et al, male patients were more with male-female ratio of 28:12.8 Most of the patients in the study population were in the age group of 46 to 60 years i.e. 32 patients (27.35%) (Figure 2). Table 1: Mean and SD on day 1 and day 7 along with their p values for total, survivor and non-survivor groups. Parameter Group Day 1 Mean±SD Day 7 Mean±SD P value Total 9.40±9.21 6.95±5.67 0.003 NLCR Survivor 8.44±8.46 5.75±4.37 0.002 Non-survivor 13.29±11.14 11.88±7.57 0.514 Total 58.52±9.84 59.50±10.01 0.151 RDW SD Survivor 59.05±10.37 59.59±10.60 0.483 Non-survivor 56.39±7.11 59.11±7.29 0.043 Total 10.51±1.71 11.36±8.00 0.260 MPV Survivor 10.39±1.76 11.49±8.90 0.243 Non-survivor 10.98±1.47 10.83±1.73 0.568 Total 16.20±0.87 16.33±0.64 0.116 PDW Survivor 16.24±0.61 16.32±0.65 0.314 Non-survivor 16.01±1.54 16.40±0.59 0.236 Total 41.15±10.78 42.07±11.75 0.357 PLCR Survivor 40.52±10.22 42.03±11.66 0.180 Non-survivor 43.70±12.73 42.25±12.41 0.524 Total 258.23±168.75 278.44±172.30 0.100 PLT Survivor 262.30±179.79 291.09±182.92 0.035 Non-survivor 241.61±114.59 226.78±107.76 0.603 Total 2.61±1.50 2.87±1.43 0.004 PCT Survivor 2.54±1.58 2.96±1.48 0.002 Non-survivor 2.40±1.10 2.50±1.17 0.779 Figure 1: Sex wise distribution of survival (54.25% male and 45.74% female), non-survival (65.21% male and 34.78% female), and total (56.41% male and 43.58% female) patients with sepsis included in the study. Figure 2: Age wise distribution of the total patients in the study. This probably infers the occurrence of sepsis mostly in the older age group in this study. However, this might be a case selection bias and not necessarily has any inference on the severity of the illness. A western study reported a higher incidence of sepsis in patients aged above 57 0.00% 10.00% 20.00% 30.00% 40.00% 50.00% 60.00% 70.00% Survival Non survival Total 54.25% 65.21% 56.41% 45.74% 34.78% 43.58% Male Female 15-30 yrs 31-45 yrs 46-60 yrs >60 yrs 27.35% 26.49% 25.64% 20.51%
  • 4. Gupta A et al. Int J Res Med Sci. 2019 Mar;7(3):xxx-xxx International Journal of Research in Medical Sciences | March 2019 | Vol 7 | Issue 3 Page 4 years.9 The mean age in an epidemiological study of sepsis in India was 54.9 years.10 In a study conducted in Karnataka, India by Sudhir U et al, in 2011 highest number of patients were in the age group of 50 to 59 years.11 In another study by Meynaar IA et al, mean age of patients with sepsis was 65 and those with SIRS were 62 years.12 The statistical analysis finding of NLCR suggested that there was an overall increase in NLCR in patients with sepsis as observed on day of admission (day 1) and seventh day (day 7) in all the three observation groups taken for study. This finding was consistent with study by Florence Riché et al, which showed that septic shock patients at risk of early death had a low NLCR at admission, although late death was associated with an increased NLCR during the first 5 days.3 Another study by Liu X et al, showed Increased NLR levels were independently associated with unfavorable clinical prognosis in patients with sepsis. Further investigation is required to increase understanding of the pathophysiology of this relationship.13 An overall increase in the RDW SD values for all the three groups correlate with the findings made by Shaikh MA et al, which concluded that RDW levels measured on admission can be used as a prognostic marker in patients in severe sepsis and septic shock.4 However, there was no statistically significant difference in the MPV values on day 1 and day 7 but the overall mean and SD was higher in non-survivor group as compared to that of survivor group with sepsis. A study by Gao Y et al, (2014) showed that MPV in the non- survivor group was higher than that of the survivor group.6 The statistical analysis finding suggest that there is no significant change in PDW in patients with sepsis as observed on day of admission day 1 and seventh day (day 7) in all the three observation groups taken for study. These results were contradictory with the findings of a study by Guclu E et al, where MPV and PDW were significantly different between sepsis patients and control group (P<0.05). PDW was the unique significantly different parameter between survivors and non-survivors (P=0.001).14 The statistical analysis finding of PLT suggested that there was significant change in mean PLT only in survivor group patients with sepsis and not in total and non-survivor groups as observed on day of admission (day1) and seventh day (day7). A study by Guclu E et al, (2013) showed that platelet count in sepsis patients was lower than control group, but the difference was not significant.14 A poor prognostic implication was observed for PLCR with no significant statistical difference on day 1 and day 7 of admission for all the three groups whereas the PCT values showed significant P values only for total and survivor patients’ groups. A study by Gao Y et al, in 2014 concluded that different change trends of platelet parameters can be seen between the non-survivors and survivors of septic shock patients. If PDW, PLCR and MPV show increased trend while PLT and PCT show decreased trend, a poor prognosis maybe indicated.6 CONCLUSION Sepsis is a major cause of admissions to ICU and emergency wards in any tertiary care center with a significant mortality and morbidity. Though guidelines for management of these patients have been updated but still mortality rate remains high. Existing markers for prognosis and disease severity assessment scores are not always available at all centers. The prediction of outcome for patients with sepsis using easily available and reliable marker may facilitate more aggressive interventions made at appropriate time. Various hematological parameters have been found to be associated with outcome in patients with critical illness and sepsis in many previous studies, also it is routinely reported as part of complete blood count and widely available to physicians without addition of any extra cost for investigations purpose. ACKNOWLEDGEMENTS Authors would like to thank staff working in Department of Medicine and pathology lab for hemogram testing at Netaji Subhash Chandra Bose Medical College and Himani Bansal. Funding: No funding sources Conflict of interest: None declared Ethical approval: The study was approved by the Ethics Committee of Netaji Subhash Chandra Bose Medical College, Jabalpur, Madhya Pradesh REFERENCES 1. Bone RC, Balk RA, Cerra FB, Dellinger RP, Fein AM, Knaus WA, et al. Definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis. Chest. 1992;101(6):1644-55. 2. Dellinger RP, Levy MM, Carlet JM, Bion J, Parker MM, Jaeschke R, et al. Surviving sepsis campaign: international guidelines for management of severe sepsis and septic shock. Intensive Care Med. 2008;34(1):17-60. 3. Riché F, Gayat E, Barthélémy R, Le Dorze M, Matéo J, Payen D. Reversal of neutrophil-to- lymphocyte count ratio in early versus late death from septic shock. Crit Care. 2015;19(1):439. 4. Shaikh MA, Yadavalli DR. Red cell distribution width as a prognostic marker in severe sepsis and septic shock. Int J Adv Med. 2017;4(3):750. 5. Kim CH, Kim SJ, Lee MJ, Kwon YE, Kim YL, Park KS, et al. An increase in mean platelet volume
  • 5. Gupta A et al. Int J Res Med Sci. 2019 Mar;7(3):xxx-xxx International Journal of Research in Medical Sciences | March 2019 | Vol 7 | Issue 3 Page 5 from baseline is associated with mortality in patients with severe sepsis or septic shock. PLoS One. 2015;10(3):e0119437. 6. Gao Y, Li Y, Yu X, Guo S, Ji X, Sun T, et al. The impact of various platelet indices as prognostic markers of septic shock. PLoS One. 2014;9(8):e103761. 7. Padkin A, Goldfrad C, Brady AR, Young D, Black N, Rowan K. Epidemiology of severe sepsis occurring in the first 24 hrs in intensive care units in England, wales, and Northern Ireland. Critical Care Med. 2003;31(9):2332-8. 8. Sinha M, Desai S, Mantri S, Kulkarni A. (2011). Procalcitonin as an adjunctive biomarker in sepsis. Indian J Anaesthesia. 2011;55(3):266. 9. Martin GS, Mannino DM, Eaton S, Moss M. The epidemiology of sepsis in the United States from 1979 through 2000. New England J Med. 2003;348(16):1546-54. 10. Todi S, Chatterjee S, Bhattacharyya M. Epidemiology of severe sepsis in India. Crit Care. 2007;11(2):P65. 11. Sudhir U, Venkatachalaiah RK, Kumar TA, Rao MY, Kempegowda P.Significance of serum procalcitonin in sepsis. Indian J Crit Care Med. 2011;15(1):1-5. 12. Meynaar IA, Droog W, Batstra M, Vreede R, Herbrink P. In critically ill patients, serum procalcitonin is more useful in differentiating between sepsis and SIRS than CRP, Il-6, or LBP. Crit Care Res Practice. 2011;2011. 13. Liu X, Shen Y, Wang H, Ge Q, Fei A, Pan S. Prognostic significance of neutrophil-to-lymphocyte ratio in patients with sepsis: a prospective observational study. Mediators Inflammation. 2016;2016. 14. Guclu E, Durmaz Y, Karabay O. Effect of severe sepsis on platelet count and their indices. Afr Health Sci. 2013;13(2):333-8. Cite this article as: Gupta A, Gupta R. Study of hematological parameters in sepsis patients and its prognostic implications. Int J Res Med Sci 2019;7:xxx-xx.