Literature DB >> 21338473

Screening of sepsis using leukocyte cell population data from the Coulter automatic blood cell analyzer DxH800.

D-H Park1, K Park, J Park, H-H Park, H Chae, J Lim, E-J Oh, Y Kim, Y-J Park, K Han.   

Abstract

INTRODUCTION: We determined the utility of leukocyte cell population data (CPD) for the screening of sepsis and fungemia.
METHODS: Blood culture-positive CBC samples, 117 bacteremia and 27 fungemia, and 134 CBC samples from healthy controls were analyzed using the DxH800 and CPD of neutrophils, lymphocytes, and monocytes were analyzed. Immature granulocytes (IG) were counted using Sysmex XE-2100.
RESULTS: The neutrophils and monocytes volume were increased significantly, and the neutrophils light scattering values were reduced significantly in the sepsis samples. ROC curves evidenced excellent sensitivity in the lymphocyte SD parameters (sensitivity 78-89%, specificity 78-87%), monocytes volume (at 177.5, sensitivity 88.2% specificity 87.3%), and monocytes volume SD (at 22.16, sensitivity 93.1% specificity 91.0%) for sepsis. The IG value was significantly higher in sepsis and the ROC curve evidenced a sensitivity of 82.8% and a specificity of 90.8% for sepsis. Only lower angle light scatter of lymphocytes SD value evidenced good sensitivity and specificity in the discrimination of fungemia from bacteremia (sensitivity 74.1%, specificity 72.4% at 12.6).
CONCLUSION: Many of the leukocyte CPD have been identified as useful parameters of sepsis. Hopefully, these parameters can ultimately be incorporated into a decision rule for the screening of sepsis samples and to discriminate fungemia from bacteremia.
© 2011 Blackwell Publishing Ltd.

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Year:  2011        PMID: 21338473     DOI: 10.1111/j.1751-553X.2011.01298.x

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


  10 in total

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

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Journal:  Indian J Hematol Blood Transfus       Date:  2022-01-29       Impact factor: 0.915

2.  Automated measurement of immature granulocytes: performance characteristics and utility in routine clinical practice.

Authors:  Balamurugan Senthilnayagam; Treshul Kumar; Jayapriya Sukumaran; Jeya M; Ramesh Rao K
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3.  The diagnostic and prognostic significance of monitoring blood levels of immature neutrophils in patients with systemic inflammation.

Authors:  Tracey Anne Mare; David Floyd Treacher; Manu Shankar-Hari; Richard Beale; Sion Marc Lewis; David John Chambers; Kenneth Alun Brown
Journal:  Crit Care       Date:  2015-02-25       Impact factor: 9.097

Review 4.  Misunderstandings Between Platelets and Neutrophils Build in Chronic Inflammation.

Authors:  Giuseppe A Ramirez; Angelo A Manfredi; Norma Maugeri
Journal:  Front Immunol       Date:  2019-10-22       Impact factor: 7.561

5.  Reliability of predictive models to support early decision making in the emergency department for patients with confirmed diagnosis of COVID-19: the Pescara Covid Hospital score.

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Journal:  BMC Health Serv Res       Date:  2022-08-19       Impact factor: 2.908

6.  Leukocyte cell population data from the blood cell analyzer as a predictive marker for severity of acute pancreatitis.

Authors:  Yihui Wang; Zhihong Xu; Yuhua Zhou; Mengqi Xie; Xing Qi; Zhiwei Xu; Qi Cai; Huiqiu Sheng; Erzhen Chen; Bing Zhao; Enqiang Mao
Journal:  J Clin Lab Anal       Date:  2021-06-01       Impact factor: 2.352

7.  Novel markers of early neutrophilic and monocytic engraftment after hematopoietic stem cell transplantation.

Authors:  Jimin Kahng; Seung-Ah Yahng; Jae Wook Lee; Yonggoo Kim; Myungshin Kim; Eun-Jee Oh; Yeon-Joon Park; Jong Wook Lee; Bin Cho; Kyungja Han
Journal:  Ann Lab Med       Date:  2014-02-13       Impact factor: 3.464

8.  Assessment of Immature Granulocytes Percentage to Predict Severe Bacterial Infection in Latvian Children: An Analysis of Secondary Data.

Authors:  Jana Pavare; Ilze Grope; Dace Gardovska
Journal:  Medicina (Kaunas)       Date:  2018-08-10       Impact factor: 2.430

9.  Interest of the cellular population data analysis as an aid in the early diagnosis of SARS-CoV-2 infection.

Authors:  Marc Vasse; Marie-Christine Ballester; Degnile Ayaka; Dmitry Sukhachev; Frédérique Delcominette; Florence Habarou; Emilie Jolly; Elena Sukhacheva; Tiffany Pascreau; Éric Farfour
Journal:  Int J Lab Hematol       Date:  2020-08-19       Impact factor: 3.450

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
  10 in total

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