Log in

Role of Automated Volume, Conductivity and Scatter (VCS) Parameters of Neutrophils as Indicators of Sepsis

  • Original Article
  • Published:
Indian Journal of Hematology and Blood Transfusion Aims and scope Submit manuscript

Abstract

This study was done to evaluate the role of automated volume, conductivity and scatter (VCS) parameters of neutrophils as indicators of sepsis and its differentiation from other inflammatory disorders. In this cross-sectional study, 225 patients with culture proven or with clinical evidence of sepsis were included along with an equal number of healthy controls. In addition, 138 patients with non-infective inflammatory conditions-acute pancreatitis (50), burns (45) and acute myocardial infarction (43) were also included. Complete blood count was done on LH750 automated hematology analyser (Beckman Coulter). VCS data; mean neutrophil volume (MNV), mean neutrophil conductivity (MNC) and mean neutrophil scatter (MNS) for all patients was recorded. MNV was high (p < .0001) while MNS was lower (p < .0001) in patients with sepsis compared to the control group. MNC was comparable between the two groups (p = .4735). On subgroup analysis of patients with sepsis, significant difference in MNV (p = .0009) and MNS (p = .0210) was observed in patients with leukopenia, normal TLC and leucocytosis. Youden Index was maximum (71%) at MNV of 144.6 (sensitivity-82.7%; specificity-88.5%) and MNV of 147.9 (sensitivity-75.6%; specificity-95.6%) for sepsis. On comparing patients with sepsis with acute pancreatitis and myocardial infarction, MNV and MNC were significantly higher in patients with sepsis. MNV is a useful, inexpensive parameter which can be accessed during a routine CBC run from the raw data. It can be utilized as an early indicator of sepsis as an adjunct to the clinical diagnosis in suspect patients. However, its availability in only select hematology analyzers may limit its use.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Canada)

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Availability of Data and Material

Yes, all raw data is available if required.

References

  1. Munford RS (2015) Severe sepsis and septic shock. In: Kasper DL, Hauser SL, Jameson JL, Fauci AS, Longo DL, Loscalzo J (eds) Harrison’s principles of internal medicine, 19th edn. McGraw-Hill, New York, pp 1751–1759

    Google Scholar 

  2. Gleckman R, Hibert D (1982) Afebrile bacteremia. A phenomenon in geriatric patients. JAMA 248:1478–1481

    Article  CAS  Google Scholar 

  3. Castle SC, Norman DC, Yeh M, Miller D, Yoshikawa TT (1991) Fever response in elderly nursing home residents: are the older truly colder? J Am Geriatr Soc 39:853–857

    Article  CAS  Google Scholar 

  4. Vincent JL, Beumier M (2013) Diagnostic and prognostic markers in sepsis. Exp Rev Anti Infect Ther 11:265–275

    Article  CAS  Google Scholar 

  5. Wenz B, Gennis P, Canova C, Burns ER (1986) The clinical utility of the leukocyte differential in emergency medicine. Am J Clin Pathol 86:298–303

    Article  CAS  Google Scholar 

  6. Briggs C, Bain J (2017) Basic haematological techniques. In: Bain BJ, Bates I, Laffan MA, Lewis SM (eds) Dacie and Lewis: practical haematology, 12th edn. Elsevier, Oxford, pp 38–39

    Google Scholar 

  7. Chung HN, Jong WC, Lee J (2008) Delta neutrophil index in automated immature granulocyte counts for assessing disease severity of patients with sepsis. Ann Clin Lab Sci 38:241–245

    Google Scholar 

  8. Tejeswini V, Kande S, Premalatha P (2012) Correlation of granularity index with toxic granulation of neutrophils by manual microscopy and C-reactive protein. IOSR J Dent Med Sci 3:35–39

    Article  Google Scholar 

  9. Chaves F, Tierno B, Xu D (2005) Quantitative determination of neutrophil VCS parameters by the Coulter automated hematology analyzer: new and reliable indicators for acute bacterial infection. Am J Clin Pathol 124:440–444

    Article  Google Scholar 

  10. Suresh PK, Minal J, Rao PS, Ballal K, Sridevi HB, Padyana M (2016) Volume conductivity and scatter parameters as an indicator of acute bacterial infections by the automated haematology analyser. J Clin Diagnostic Res 10:EC01–EC03

  11. Purohit A, Kumar P, Sharma S, Kapil A, Gupta A, Mukhopadhyay A (2015) Volume, conductivity, and scatter parameters as diagnostic aid to bacterial sepsis: a tertiary care experience. Indian J Pathol Microbiol 58:459–463

    Article  Google Scholar 

  12. Chaves F, Tierno B, Xu D (2006) Neutrophil volume distribution width: a new automated hematologic parameter for acute infection. Arch Pathol Lab Med 130:378–380

    Article  Google Scholar 

  13. Lee AJ, Kim SG (2013) Mean cell volumes of neutrophils and monocytes are promising markers of sepsis in elderly patients. Blood Res 48:193–197

    Article  CAS  Google Scholar 

  14. Mardi D, Fwity B, Lobmann R, Ambrosch A (2010) 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 32:410–418

    CAS  PubMed  Google Scholar 

  15. Bagdasaryan R, Zhou Z, Tierno B, Rosenman D, Xu D (2007) Neutrophil VCS parameters are superior indicators for acute infection. Lab Hematol 13:12–16

    Article  Google Scholar 

  16. Singer M, Deutschman CS, Seymour CW, Shankar-Hari M, Annane D, Bauer M (2016) The third international consensus definitions for sepsis and septic shock (Sepsis-3). JAMA 315:801–810

    Article  CAS  Google Scholar 

  17. Coulter®3D VCS technology. Coulter International Corporation. 1996. [Cited 2021 May 3]: http://www.cyto.purdue.edu/cdroms/cyto2/6/coulter/ss000125. html

  18. Park DH, Park K, Park J, Park HH, Chae H, Lim J et al (2011) Screening of sepsis using leukocyte cell population data from the Coulter automatic blood cell analyzer DxH800. Int J Lab Hematol 33:391–399

    Article  Google Scholar 

  19. Villanueva E III, Almirol BJ (2017) The accuracy of mean neutrophil volume relative to blood culture for the diagnosis of sepsis: a meta-analysis. Philip J Pathol 2:18–22

    Article  Google Scholar 

  20. Manning J (2018) Sepsis in the burn patient. Crit Care Nurs Clin North Am 30:423–430

    Article  Google Scholar 

  21. Buyukterzi Z, Gurses K, Erdem S, Sertdemir A, Bor M, Albayrak P (2019) Mean neutrophil volume is elevated in patients suffering from acute coronary syndrome. Kocaeli Med J 121:74–80

    Article  Google Scholar 

  22. Saha D, Adiga DSA, Karthick RG, Priya V, Rao PS, Suresh PK (2020) The role of volume, conductivity, scatter changes of neutrophils and monocytes in diagnosis of megaloblastic anemia. Ann Pathol and Lab Med 7:A-563–9

Download references

Acknowledgements

This study was conducted at Christian Medical College & Hospital, Ludhiana, Punjab as a thesis for the post graduate MD pathology course for the first author. The authors acknowledge the contribution of Dr. Ranjeet Mashon for help in data retrieval and statistics. The data has been presented as an oral paper by the first author in the 59th Annual Conference of Indian Society of Hematology & Blood Transfusion (ISHBT) October 2018, Kochi, India

Funding

No funding was received for conducting this study.

Author information

Authors and Affiliations

Authors

Contributions

SV collected the data, conducted literature search, analysed the data and drafted the manuscript. NK, MSK and MJ conceived the idea, reviewed the literature, analysed the data and drafted the manuscript. MJ was involved in clinical care of patients. All authors have read and approved the final draft.

Corresponding author

Correspondence to Shruti Vaswani.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethics approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. This study has been approved by the institutional research and ethics committees, and by the Dean (Principal) of the Christian Medical College & Hospital, Ludhiana, Punjab, India, where it was conducted.

Consent to participate

Individual consent from healthy individuals who comprised the control group was taken. Patient consent was waived off by the institutional research committee since all data collected was part of standard care.

Consent for publication

Consent for publishing the research has been obtained by from the institutional research committee. Individual patient consent was waived off by the institutional research committee as this study is based on CBC parameters and no patient identifying information has been used.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Vaswani, S., Kakkar, N., Kwatra, K.S. et al. Role of Automated Volume, Conductivity and Scatter (VCS) Parameters of Neutrophils as Indicators of Sepsis. Indian J Hematol Blood Transfus 38, 710–717 (2022). https://doi.org/10.1007/s12288-022-01519-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12288-022-01519-z

Keywords

Navigation