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STUDY OF HEMATOLOGICAL PARAMETERS IN SEPSIS PATIENTS AND ITS PROGNOSTIC IMPLICATIONS
DR. RAHUL GUPTA
Department of Medicine, N.S.C.B.Medical College & Hospital, Jabalpur (MP)
INTRODUCTION
•Systemic inflammatory response syndrome (SIRS) is defined by parameters namely body temperature of >38oC or <36oC,
leucocyte count of >12,000 cells/cumm or <4000 cells/cumm, heart rate >90/min, and respiratory rate of >24/min. If these
symptoms are complicated by organ dysfunction and persistent arterial hypotension, the definition of “severe sepsis” and “septic
shock” respectively are fulfilled.
•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%.
AIMS & OBJECTIVES
The current study aims :
•To study the correlation of
various hematological
parameters in sepsis
patients
•To study their effect in
prognosis of sepsis patients
MATERIALS & 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 with a total sample size
of117 patients.
•Inclusion criteria: 1.Patient
willing to be a part of study
2.Patients with SIRS.
• Exclusion criteria: 1.Patient not
willing; 2.Blood transfusion in
previous week of admission
3.Bleeding >10% of blood
volume 4.Recent chemotherapy
5.Use of drugs which affects
morphology of RBC.
Various hematological
parameters of all the patients
were obtained on day 1 and day
7 using hemogram reports and
the difference of their statistical
mean and standard deviation
was estimated using SPSS
Windows version 22 software.
OBSERVATIONS & RESULTS
CONCLUSION
Sepsis is a major cause of admissions
to ICU and emergency wards in any
tertiary care centre with a significant
mortality and morbidity. 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.
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
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%
DISCUSSION
•An overall increase in the statistical mean and SD of NLCR and RDW SD indicates
their good prognostic significance in patients with sepsis. This has been supported by
previous studies done by Florence Riché et al & Shaikh MA et al.
•However there was no significant difference in the mean & SD of MPV, PDW and
PLCR which is contradictory to the results of a study done by Guclu E et al in 2013.
•Although a remarkable increase in the PLT count on day 7 as compared to day 1 of
observation in the survivor group signifies it to be a good prognostic factor in patients
with sepsis. Whereas a statistically significant increment in PCT values of mean and
SD of day 7 as compared to those of day 1 in the total and survivor group implies it to
be an affirmative prognostic factor in patients with sepsis.
REFERENCES
1. Riché F, Gayat E, Barthélémy R, Le Dorze M, Matéo J, Payen D. Reversal of neutrophil-tolymphocyte
count ratio in early versus late death from septic shock. Crit Care. 2015;19(1):439.
2. Guclu E, Durmaz Y, Karabay O. Effect of severe sepsis on platelet count and their indices. Afr Health Sci.
2013;13(2):333-8.
3. 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.

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poster presentation Study of hematological parameters in sepsis patients and its prognostic implications

  • 1. STUDY OF HEMATOLOGICAL PARAMETERS IN SEPSIS PATIENTS AND ITS PROGNOSTIC IMPLICATIONS DR. RAHUL GUPTA Department of Medicine, N.S.C.B.Medical College & Hospital, Jabalpur (MP) INTRODUCTION •Systemic inflammatory response syndrome (SIRS) is defined by parameters namely body temperature of >38oC or <36oC, leucocyte count of >12,000 cells/cumm or <4000 cells/cumm, heart rate >90/min, and respiratory rate of >24/min. If these symptoms are complicated by organ dysfunction and persistent arterial hypotension, the definition of “severe sepsis” and “septic shock” respectively are fulfilled. •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%. AIMS & OBJECTIVES The current study aims : •To study the correlation of various hematological parameters in sepsis patients •To study their effect in prognosis of sepsis patients MATERIALS & 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 with a total sample size of117 patients. •Inclusion criteria: 1.Patient willing to be a part of study 2.Patients with SIRS. • Exclusion criteria: 1.Patient not willing; 2.Blood transfusion in previous week of admission 3.Bleeding >10% of blood volume 4.Recent chemotherapy 5.Use of drugs which affects morphology of RBC. Various hematological parameters of all the patients were obtained on day 1 and day 7 using hemogram reports and the difference of their statistical mean and standard deviation was estimated using SPSS Windows version 22 software. OBSERVATIONS & RESULTS CONCLUSION Sepsis is a major cause of admissions to ICU and emergency wards in any tertiary care centre with a significant mortality and morbidity. 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. 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 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% DISCUSSION •An overall increase in the statistical mean and SD of NLCR and RDW SD indicates their good prognostic significance in patients with sepsis. This has been supported by previous studies done by Florence Riché et al & Shaikh MA et al. •However there was no significant difference in the mean & SD of MPV, PDW and PLCR which is contradictory to the results of a study done by Guclu E et al in 2013. •Although a remarkable increase in the PLT count on day 7 as compared to day 1 of observation in the survivor group signifies it to be a good prognostic factor in patients with sepsis. Whereas a statistically significant increment in PCT values of mean and SD of day 7 as compared to those of day 1 in the total and survivor group implies it to be an affirmative prognostic factor in patients with sepsis. REFERENCES 1. Riché F, Gayat E, Barthélémy R, Le Dorze M, Matéo J, Payen D. Reversal of neutrophil-tolymphocyte count ratio in early versus late death from septic shock. Crit Care. 2015;19(1):439. 2. Guclu E, Durmaz Y, Karabay O. Effect of severe sepsis on platelet count and their indices. Afr Health Sci. 2013;13(2):333-8. 3. 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.