CC BY-NC-ND 4.0 · J Lab Physicians 2019; 11(01): 029-033
DOI: 10.4103/JLP.JLP_102_18
Original Article

Volume, conductivity, and scatter parameters of leukocytes as early markers of sepsis and treatment response

Parul Arora
Department of Laboratory Medicine, All India Institute of Medical Sciences, New Delhi, India
,
Praveen Kumar Gupta
Department of Laboratory Medicine, Primus Super Speciality Hospital, New Delhi, India
,
Raghavendra Lingaiah
Department of Laboratory Medicine, All India Institute of Medical Sciences, New Delhi, India
,
Asok Kumar Mukhopadhyay
Department of Laboratory Medicine, All India Institute of Medical Sciences, New Delhi, India
› Author Affiliations
Financial support and sponsorship: Nil

Abstract

INTRODUCTION: Morphologic changes in the size and granularity of leukocytes seen in sepsis could be measured using the volume, conductivity, and scatter (VCS parameters) from the automated hematology analyzers. The objective of this study is to find the clinical usefulness of VCS parameters as possible indicators of sepsis and to determine the effect of treatment on these parameters.

METHODS: This observational study was conducted in a tertiary level hospital in India. Hemogram and VCS parameters obtained from LH 750 (Beckman coulter, Fullerton, CA) from 134 proven blood culture-positive cases of sepsis were reviewed on the day of culture positivity (day 0), day 3, and day 7 were analyzed and compared with those of samples from otherwise healthy 100 participants. Statistical analysis of data was done, and cutoff value was established using receiver-operator characteristic curve.

RESULTS: Out of 134 culture-positive cases, 55.2% (n = 74) Gram-negative and 44.8% (n = 60) Gram-positive bacteria were isolated. The mean neutrophil volume (MNV) and mean monocyte volume (MMV) were higher in the sepsis group compared to that of the control group (165.43 ± 18.21 vs. 140.59 ± 7.6, P = 0.001 for MNV and 179.8 ± 14.16 vs. 164.54 ± 9.6, P = 0.001 for MMV). A significant decrease in MNV and MMV was observed with the initiation of the treatment. Significant changes in scatter and conductivity parameters were also noticed. A cutoff value of 150.2 for MNV gave a sensitivity and specificity of 79.1% and 95%, respectively, with an area under the curve (AUC) of 92.3%. With a cutoff of 168.3, MMV had a sensitivity of 80.6% and specificity of 77.5%, AUC of 83%.

CONCLUSION: VCS parameters such as MNV and MMV can be easily obtained by an automated hematology analyzer and could be used for early detection and therapeutic response in sepsis.



Publication History

Received: 28 July 2018

Accepted: 26 November 2018

Article published online:
06 April 2020

© 2019.

Thieme Medical and Scientific Publishers Private Ltd.
A-12, Second Floor, Sector -2, NOIDA -201301, India

 
  • References

  • 1 Procop GW, Hartman JS, Sedor F. Laboratory tests in evaluation of acute febrile illness in pediatric emergency room patients. Am J Clin Pathol 1997;107:114-21.
  • 2 Wile MJ, Homer LD, Gaehler S, Phillips S, Millan J. Manual differential cell counts help predict bacterial infection. A multivariate analysis. Am J Clin Pathol 2001;115:644-9.
  • 3 Mathy KA, Koepke JA. The clinical usefulness of segmented vs. stab neutrophil criteria for differential leukocyte counts. Am J Clin Pathol 1974;61:947-58.
  • 4 Wenz B, Gennis P, Canova C, Burns ER. The clinical utility of the leukocyte differential in emergency medicine. Am J Clin Pathol 1986;86:298-303.
  • 5 Richardson-Jones A. An automated hematology instrument for comprehensive WBC, RBC, and platelet analysis. Am Clin Lab 1990;9:18-22.
  • 6 Krause JR. Automated differentials in the hematology laboratory. Am J Clin Pathol 1990;93:S11-6.
  • 7 Chaves F, Tierno B, Xu D. Quantitative determination of neutrophil VCS parameters by the coulter automated hematology analyzer: New and reliable indicators for acute bacterial infection. Am J Clin Pathol 2005;124:440-4.
  • 8 Purohit AH, Kumar P, Sharma S, Kapil A, Gupta A, Mukhopadhyay AK. Volume, conductivity, and scatter parameters as diagnostic aid to bacterial sepsis: A tertiary care experience. Indian J Pathol Microbiol 2015;58:459-63.
  • 9 Raimondi F, Ferrara T, Capasso L, Sellitto M, Landolfo F, Romano A, et al. Automated determination of neutrophil volume as screening test for late-onset sepsis in very low birth infants. Pediatr Infect Dis J 2010;29:288.
  • 10 Suresh PK, Minal J, Rao PS, Ballal K, Sridevi HB, Padyana M, et al. Volume conductivity and scatter parameters as an indicator of acute bacterial infections by the automated haematology analyser. J Clin Diagn Res 2016;10:EC01-3.
  • 11 Lee AJ, Kim SG. Mean cell volumes of neutrophils and monocytes are promising markers of sepsis in elderly patients. Blood Res 2013;48:193-7.
  • 12 Mardi D, Fwity B, Lobmann R, Ambrosch A. Mean cell volume of neutrophils and monocytes compared with C-reactive protein, interleukin-6 and white blood cell count for prediction of sepsis and nonsystemic bacterial infections. Int J Lab Hematol 2010;32:410-8.
  • 13 Celik IH, Demirel G, Aksoy HT, Erdeve O, Tuncer E, Biyikli Z, et al. Automated determination of neutrophil VCS parameters in diagnosis and treatment efficacy of neonatal sepsis. Pediatr Res 2012;71:121-5.
  • 14 Celik IH, Demirel G, Sukhachev D, Erdeve O, Dilmen U. Neutrophil volume, conductivity and scatter parameters with effective modeling of molecular activity statistical program gives better results in neonatal sepsis. Int J Lab Hematol 2013;35:82-7.
  • 15 Abiramalatha T, Santhanam S, Mammen JJ, Rebekah G, Shabeer MP, Choudhury J, et al. Utility of neutrophil volume conductivity scatter (VCS) parameter changes as sepsis screen in neonates. J Perinatol 2016;36:733-8.
  • 16 Park SH, Park CJ, Lee BR, Nam KS, Kim MJ, Han MY, et al. Sepsis affects most routine and cell population data (CPD) obtained using the sysmex XN-2000 blood cell analyzer: Neutrophil-related CPD NE-SFL and NE-WY provide useful information for detecting sepsis. Int J Lab Hematol 2015;37:190-8.
  • 17 Seebach JD, Morant R, Rüegg R, Seifert B, Fehr J. The diagnostic value of the neutrophil left shift in predicting inflammatory and infectious disease. Am J Clin Pathol 1997;107:582-91.
  • 18 Pettilä V, Hynninen M, Takkunen O, Kuusela P, Valtonen M. Predictive value of procalcitonin and interleukin 6 in critically ill patients with suspected sepsis. Intensive Care Med 2002;28:1220-5.
  • 19 Chan YL, Tseng CP, Tsay PK, Chang SS, Chiu TF, Chen JC. Procalcitonin as a marker of bacterial infection in the emergency department: An observational study. Crit Care 2004;8:R12-20.
  • 20 Wang S, Chen D. The correlation between procalcitonin, C-reactive protein and severity scores in patients with sepsis and their value in assessment of prognosis. Zhonghua Wei Zhong Bing Ji Jiu Yi Xue 2015;27:97-101.
  • 21 Faix JD. Biomarkers of sepsis. Crit Rev Clin Lab Sci 2013;50:23-36.
  • 22 Bloos F. Clinical diagnosis of sepsis and the combined use of biomarkers and culture- and non-culture-based assays. Methods Mol Biol 2015;1237:247-60.
  • 23 Zhu Y, Cao X, Tao G, Xie W, Hu Z, Xu D, et al. The lymph index: A potential hematological parameter for viral infection. Int J Infect Dis 2013;17:e490-3.