Literature DB >> 24867378

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.

S H Park1, C-J Park, B-R Lee, K-S Nam, M-J Kim, M-Y Han, Y J Kim, Y-U Cho, S Jang.   

Abstract

INTRODUCTION: The Sysmex XN-2000 analyzer can assess 36 routine and 57 cell population data (CPD) items. In this study, we evaluated these items as sepsis biomarkers.
METHODS: We enrolled 280 normal control (NC) and 130 sepsis patients. The sepsis patients were classified as uncomplicated or complicated sepsis. Routine and CPD items were determined, and the results were compared at between the NC and sepsis groups, uncomplicated and complicated sepsis groups, and survivors and nonsurvivors.
RESULTS: For the detection of sepsis, CPD items NE-SFL [defined as the fluorescent light intensity of the neutrophil area on the WDF (white blood cell differential) scattergram] and NE-WY (defined as the fluorescent light distribution width of the neutrophil area on the WDF scattergram) showed comparative or higher AUC of 0.909 and 0.905, respectively, when compared with routine items such as hematocrit, hemoglobin, RBC, RDW, immature granulocytes count, lymphocytes count, and neutrophils count. For the discrimination of sepsis severity, only platelet-related items showed higher AUC (0.723 - 0.748) than lactic acid (0.695). For the prediction of 28-day mortality, only CV and SD of RDW showed higher AUC (0.766 and 0.732 each) than lactic acid (0.712).
CONCLUSIONS: Sepsis patients demonstrated significant changes in routine and CPD items related to RBC, neutrophils, lymphocytes, and platelets when compared to NCs. Increase in CPD items NE-SFL and NE-WY, which may indicate neutrophil immaturity or activation, could be useful for the detection of sepsis patients, in conjunction with currently used surrogate sepsis biomarkers. However, these items did not efficiently contribute to the discrimination of sepsis severity or predict mortality.
© 2014 John Wiley & Sons Ltd.

Entities:  

Keywords:  NE-SFL; NE-WY; Sepsis; Sysmex XN-2000; cell population data; neutrophil

Mesh:

Substances:

Year:  2014        PMID: 24867378     DOI: 10.1111/ijlh.12261

Source DB:  PubMed          Journal:  Int J Lab Hematol        ISSN: 1751-5521            Impact factor:   2.877


  14 in total

1.  Clinical significance of cell population data (CPD) on Sysmex XN-9000 in septic patients with our without liver impairment.

Authors:  Sabrina Buoro; Michela Seghezzi; Mauro Vavassori; Paola Dominoni; Sara Apassiti Esposito; Barbara Manenti; Tommaso Mecca; Gianmariano Marchesi; Enrico Castellucci; Giovanna Azzarà; Cosimo Ottomano; Giuseppe Lippi
Journal:  Ann Transl Med       Date:  2016-11

2.  Extended leukocyte differential count and C-reactive protein in septic patients with liver impairment: diagnostic approach to evaluate sepsis in intensive care unit.

Authors:  Sabrina Buoro; Tommaso Mecca; Giovanna Azzarà; Sara Apassiti Esposito; Michela Seghezzi; Mauro Vavassori; Alberto Crippa; Gianmariano Marchesi; Enrico Castellucci; Cosimo Ottomano; Giuseppe Lippi
Journal:  Ann Transl Med       Date:  2015-10

3.  Cardiovascular Risk Assessment Using Artificial Intelligence-Enabled Event Adjudication and Hematologic Predictors.

Authors:  James G Truslow; Shinichi Goto; Max Homilius; Christopher Mow; John M Higgins; Calum A MacRae; Rahul C Deo
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2022-04-28

4.  A Preliminary Proposal for Quality Control Assessment and Harmonization of Leukocytes Morphology-structural Parameters (cell Population Data Parameters).

Authors:  Michela Seghezzi; Sabrina Buoro; Giulia Previtali; Valentina Moioli; Barbara Manenti; Ramon Simon-Lopez; Cosimo Ottomano; Giuseppe Lippi
Journal:  J Med Biochem       Date:  2018-12-01       Impact factor: 3.402

5.  NEUT-SFL in Patients with COVID-ARDS: A Novel Biomarker for Thrombotic Events?

Authors:  Laure Stiel; Yannick Rabouel; Agathe Debliquis; Valentin Pointurier; Joy Mootien; Khaldoun Kuteifan
Journal:  Dis Markers       Date:  2021-11-17       Impact factor: 3.434

6.  Immature granulocyte percentage for prediction of sepsis in severe burn patients: a machine leaning-based approach.

Authors:  Kibum Jeon; Nuri Lee; Seri Jeong; Min-Jeong Park; Wonkeun Song
Journal:  BMC Infect Dis       Date:  2021-12-16       Impact factor: 3.090

7.  Cell Population Data NE-SFL and MO-WX From Sysmex XN-3000 Can Provide Additional Information for Exclusion of Acute Promyelocytic Leukemia From Other Acute Myeloid Leukemias: A Preliminary Study.

Authors:  Sang Hyuk Park; Hyung Hoi Kim; In Suk Kim; Jongyoun Yi; Chulhun L Chang; Eun Yup Lee
Journal:  Ann Lab Med       Date:  2016-11       Impact factor: 3.464

8.  A novel haemocytometric COVID-19 prognostic score developed and validated in an observational multicentre European hospital-based study.

Authors:  Joachim Linssen; Anthony Ermens; Marvin Berrevoets; Michela Seghezzi; Giulia Previtali; Simone van der Sar-van der Brugge; Henk Russcher; Annelies Verbon; Judith Gillis; Jürgen Riedl; Eva de Jongh; Jarob Saker; Marion Münster; Imke Ca Munnix; Anthonius Dofferhof; Volkher Scharnhorst; Heidi Ammerlaan; Kathleen Deiteren; Stephan Jl Bakker; Lucas Joost Van Pelt; Yvette Kluiters-de Hingh; Mathie Pg Leers; Andre J van der Ven
Journal:  Elife       Date:  2020-11-26       Impact factor: 8.140

9.  Beyond the In-Practice CBC: The Research CBC Parameters-Driven Machine Learning Predictive Modeling for Early Differentiation among Leukemias.

Authors:  Rana Zeeshan Haider; Ikram Uddin Ujjan; Najeed Ahmed Khan; Eloisa Urrechaga; Tahir Sultan Shamsi
Journal:  Diagnostics (Basel)       Date:  2022-01-07

Review 10.  Reviewing the value of leukocytes cell population data (CPD) in the management of sepsis.

Authors:  Eloísa Urrechaga
Journal:  Ann Transl Med       Date:  2020-08
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.