Literature DB >> 33554540

Hemocytometric characteristics of COVID-19 patients with and without cytokine Storm syndrome on the Sysmex XN-10 hematology analyzer.

Remy J H Martens1, Arjan J van Adrichem1, Nadine J A Mattheij1, Calvin G Brouwer2, Daan J L van Twist2, Jasper J C R Broerse3, César Magro-Checa4, Christel M P van Dongen4, Rémy L M Mostard3, Sofia Ramiro4,5, Robert B M Landewé4,6, Math P G Leers1.   

Abstract

Objectives: COVID-19 is an ongoing global pandemic. There is an urgent need for identification and understanding of clinical and laboratory parameters related to progression towards a severe and fatal form of this illness, often preceded by a so-called cytokine-storm syndrome (CSS). Therefore, we explored the hemocytometric characteristics of COVID-19 patients in relation to the deteriorating clinical condition CSS, using the Sysmex XN-10 hematology analyzer.
Methods: From March 1st till May 16th, 2020, all patients admitted to our hospital with respiratory complaints and suspected for COVID-19 were included (n=1,140 of whom n=533 COVID-19 positive). The hemocytometric parameters of immunocompetent cells in peripheral blood (neutrophils [NE], lymphocytes [LY] and monocytes [MO]) obtained upon admission to the emergency department (ED) of COVID-19 positive patients were compared with those of the COVID-19 negative ones. Moreover, patients with CSS (n=169) were compared with COVID-19 positive patients without CSS, as well as with COVID-19 negative ones.
Results: In addition to a significant reduction in leukocytes, thrombocytes and absolute neutrophils, it appeared that lymphocytes-forward scatter (LY-FSC), and reactive lymphocytes (RE-LYMPHO)/leukocytes were higher in COVID-19-positive than negative patients. At the moment of presentation, COVID-19 positive patients with CSS had different neutrophils-side fluorescence (NE-SFL), neutrophils-forward scatter (NE-FSC), LY-FSC, RE-LYMPHO/lymphocytes, antibody-synthesizing (AS)-LYMPHOs, high fluorescence lymphocytes (HFLC), MO-SSC, MO-SFL, and Reactive (RE)-MONOs. Finally, absolute eosinophils, basophils, lymphocytes, monocytes and MO-FSC were lower in patients with CSS. Conclusions: Hemocytometric parameters indicative of changes in immunocompetent peripheral blood cells and measured at admission to the ED were associated with COVID-19 with and without CSS.

Entities:  

Keywords:  COVID-19; SARS-CoV-2; cell population data; cytokine storm syndrome; hemocytometry

Year:  2020        PMID: 33554540     DOI: 10.1515/cclm-2020-1529

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  6 in total

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Authors:  Math P G Leers; Ruben Deneer; Guy J M Mostard; Remy L M Mostard; Arjen-Kars Boer; Volkher Scharnhorst; Frans Stals; Henne A Kleinveld; Dirk W van Dam
Journal:  PLoS One       Date:  2022-06-28       Impact factor: 3.752

Review 2.  Hematological changes associated with COVID-19 infection.

Authors:  Enass Abdul Kareem Dagher Al-Saadi; Marwa Ali Abdulnabi
Journal:  J Clin Lab Anal       Date:  2021-11-16       Impact factor: 3.124

3.  Early prediction of in-hospital death of COVID-19 patients: a machine-learning model based on age, blood analyses, and chest x-ray score.

Authors:  Emirena Garrafa; Marika Vezzoli; Marco Ravanelli; Davide Farina; Andrea Borghesi; Stefano Calza; Roberto Maroldi
Journal:  Elife       Date:  2021-10-18       Impact factor: 8.140

4.  Diagnostic value of white blood cell parameters for COVID-19: Is there a role for HFLC and IG?

Authors:  Alexandra Myari; Evangelia Papapetrou; Christina Tsaousi
Journal:  Int J Lab Hematol       Date:  2021-10-08       Impact factor: 3.450

5.  Definition of the Immune Parameters Related to COVID-19 Severity.

Authors:  Sarah Birindelli; Maciej S Tarkowski; Marcello Gallucci; Marco Schiuma; Alice Covizzi; Przemysław Lewkowicz; Elena Aloisio; Felicia Stefania Falvella; Alberto Dolci; Agostino Riva; Massimo Galli; Mauro Panteghini
Journal:  Front Immunol       Date:  2022-03-18       Impact factor: 7.561

6.  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 in total

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