Literature DB >> 27942509

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

Sabrina Buoro1, Michela Seghezzi1, Mauro Vavassori1, Paola Dominoni1, Sara Apassiti Esposito1, Barbara Manenti1, Tommaso Mecca1, Gianmariano Marchesi2, Enrico Castellucci3, Giovanna Azzarà4, Cosimo Ottomano4, Giuseppe Lippi5.   

Abstract

BACKGROUND: This study evaluated the clinical significance of cell population data (CPD) parameters obtained on Sysmex XN-9000 in septic patients admitted to intensive care unit (ICU) and stratified according to liver function.
METHODS: The study population consisted in 84 patients, 44 of whom did not develop sepsis (NS), whereas the remaining 40 developed sepsis (SE) (n=24) or septic shock (SS) (n=16). Two hundred ostensibly healthy blood donors [healthy subjects (HS)], undergoing routine blood testing before a regular blood donation, were studied.
RESULTS: Except for neutrophils and lymphocytes cell size (NE-FCS and LY-Z), all other CPD values were significantly different in ICU patients compared to HS. Neutrophils and monocytes fluorescence intensity (NE-SFL and MO-X) values were significantly higher in SS compared to sepsis and not develop sepsis patients. The value of many parameters was also different according to liver function. Overall, MO-X and neutrophils fluorescence intensity (NE-SFL) exhibited the best performance for diagnosing sepsis in all patients (AUC, 0.75 and 0.72), as well as in those with (AUC, 0.95 and 0.89) or without (AUC, 0.72 for both) liver impairment. These parameters were also significantly correlated with Sequential Organ Failure Assessment (SOFA) score.
CONCLUSIONS: This study suggested that some novel CPD parameters (namely NE-SFL and MO-X) may provide useful information for diagnosis and management of sepsis.

Entities:  

Keywords:  Automated hematology analyzer; Sysmex; cell population data (CPD); liver impairment; sepsis

Year:  2016        PMID: 27942509      PMCID: PMC5124619          DOI: 10.21037/atm.2016.10.73

Source DB:  PubMed          Journal:  Ann Transl Med        ISSN: 2305-5839


  22 in total

Review 1.  Severe sepsis and septic shock: review of the literature and emergency department management guidelines.

Authors:  H Bryant Nguyen; Emanuel P Rivers; Fredrick M Abrahamian; Gregory J Moran; Edward Abraham; Stephen Trzeciak; David T Huang; Tiffany Osborn; Dennis Stevens; David A Talan
Journal:  Ann Emerg Med       Date:  2006-05-02       Impact factor: 5.721

2.  Routine diagnostic procedures of myelodysplastic syndromes: value of a structural blood cell parameter (NEUT-X) determined by the Sysmex XE-2100™.

Authors:  G Le Roux; A Vlad; V Eclache; C Malanquin; J-F Collon; M Gantier; F Schillinger; J-Y Peltier; B Savin; R Letestu; F Baran-Marszak; P Fenaux; Florence Ajchenbaum-Cymbalista
Journal:  Int J Lab Hematol       Date:  2010-12       Impact factor: 2.877

3.  Performance evaluation of the Sysmex haematology XN modular system.

Authors:  Carol Briggs; Ian Longair; Punamar Kumar; Deepak Singh; Samuel J Machin
Journal:  J Clin Pathol       Date:  2012-07-31       Impact factor: 3.411

4.  Biomarker research and leading causes of death worldwide: a rather feeble relationship.

Authors:  Giuseppe Lippi; Mario Plebani
Journal:  Clin Chem Lab Med       Date:  2013-09       Impact factor: 3.694

5.  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.

Authors:  S H Park; C-J Park; B-R Lee; K-S Nam; M-J Kim; M-Y Han; Y J Kim; Y-U Cho; S Jang
Journal:  Int J Lab Hematol       Date:  2014-05-28       Impact factor: 2.877

6.  Novel parameters of extended complete blood cell count under fluorescence flow cytometry in patients with sepsis.

Authors:  Borros M Arneth; Maximilian Ragaller; Kathleen Hommel; Oliver Tiebel; Mario Menschikowski; Gabriele Siegert
Journal:  J Clin Lab Anal       Date:  2014-01-06       Impact factor: 2.352

Review 7.  A model to predict survival in patients with end-stage liver disease.

Authors:  P S Kamath; R H Wiesner; M Malinchoc; W Kremers; T M Therneau; C L Kosberg; G D'Amico; E R Dickson; W R Kim
Journal:  Hepatology       Date:  2001-02       Impact factor: 17.425

8.  The utility of the Sysmex XE-2100 analyzer's NEUT-X and NEUT-Y parameters for detecting neutrophil dysplasia in myelodysplastic syndromes.

Authors:  J R Furundarena; M Araiz; M Uranga; M R Sainz; A Agirre; M Trassorras; N Uresandi; M C Montes; N Argoitia
Journal:  Int J Lab Hematol       Date:  2009-11-10       Impact factor: 2.877

Review 9.  Abnormal hematological indices in cirrhosis.

Authors:  A A Qamar; N D Grace
Journal:  Can J Gastroenterol       Date:  2009-06       Impact factor: 3.522

Review 10.  Evaluation of SOFA-based models for predicting mortality in the ICU: A systematic review.

Authors:  Lilian Minne; Ameen Abu-Hanna; Evert de Jonge
Journal:  Crit Care       Date:  2008-12-17       Impact factor: 9.097

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  7 in total

1.  Usefulness of Leucocyte Cell Population Data by Sysmex XN1000 Hematology Analyzer in Rapid Identification of Acute Leukemia.

Authors:  Shruti Mishra; Gaurav Chhabra; Somanath Padhi; Sonali Mohapatra; Ashutosh Panigrahi; Mukund Namdev Sable; Prabodha Kumar Das
Journal:  Indian J Hematol Blood Transfus       Date:  2021-09-28       Impact factor: 0.915

2.  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

3.  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

4.  Comparison of Monocyte Distribution Width (MDW) and Procalcitonin for early recognition of sepsis.

Authors:  Ennio Polilli; Federica Sozio; Antonella Frattari; Laura Persichitti; Marina Sensi; Raffaella Posata; Marco Di Gregorio; Antonina Sciacca; Maria Elena Flacco; Lamberto Manzoli; Giancarlo Di Iorio; Giustino Parruti
Journal:  PLoS One       Date:  2020-01-10       Impact factor: 3.240

5.  Value of hematological parameters for predicting patients with severe coronavirus disease 2019: a real-world cohort from Morocco.

Authors:  Ali Azghar; Mohammed Bensalah; Abdelilah Berhili; Mounia Slaoui; Boutaina Mouhoub; Imane El Mezgueldi; Oumaima Nassiri; Jalila El Malki; Adil Maleb; Rachid Seddik
Journal:  J Int Med Res       Date:  2022-07       Impact factor: 1.573

6.  A new haematological model for the diagnosis and prognosis of severe community-acquired pneumonia: a single-center retrospective study.

Authors:  Xiaohe Zheng; Zena Huang; Dong Wang; Shiyao Pan; Yating Zhao; Jin Li; Jianqing Zhang; Manman Ye; Shihong Zhang
Journal:  Ann Transl Med       Date:  2022-08

Review 7.  Reviewing the value of leukocytes cell population data (CPD) in the management of sepsis.

Authors:  Eloísa Urrechaga
Journal:  Ann Transl Med       Date:  2020-08
  7 in total

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