Prognostic value of cellular population data in patients with COVID-19
Background and aims: Beckman Coulter hematology analysers identify leukocytes by their volume (V), conductivity (C) and scatter (S) of a laser beam at different angles. Each leukocyte sub-population [neutrophils (NE), lymphocytes (LY), monocytes (MO)] is characterized by the mean (MN) and the standa...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-01-01
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| Series: | Informatics in Medicine Unlocked |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352914823000497 |
| _version_ | 1797845043054116864 |
|---|---|
| author | Marc Vasse Dmitry Sukhachev Marie-Christine Ballester Frédérique Delcominette François Mellot Florence Habarou Aurélie Védrenne Emilie Jolly Elena Sukhacheva Eric Farfour Tiffany Pascreau |
| author_facet | Marc Vasse Dmitry Sukhachev Marie-Christine Ballester Frédérique Delcominette François Mellot Florence Habarou Aurélie Védrenne Emilie Jolly Elena Sukhacheva Eric Farfour Tiffany Pascreau |
| author_sort | Marc Vasse |
| collection | DOAJ |
| description | Background and aims: Beckman Coulter hematology analysers identify leukocytes by their volume (V), conductivity (C) and scatter (S) of a laser beam at different angles. Each leukocyte sub-population [neutrophils (NE), lymphocytes (LY), monocytes (MO)] is characterized by the mean (MN) and the standard deviation (SD) of 7 measurements called “cellular population data” (@CPD), corresponding to morphological analysis of the leukocytes. As severe forms of infections to SARS-CoV-2 are characterized by a functional activation of mononuclear cells, leading to a cytokine storm, we evaluated whether CPD variations are correlated to the inflammation state, oxygen requirement and lung damage and whether CPD analysis could be useful for a triage of patients with COVID-19 in the Emergency Department (ED) and could help to identify patients with a high risk of worsening. Materials and method: The CPD of 825 consecutive patients with proven COVID-19 presenting to the ED were recorded and compared to classical biochemical parameters, the need for hospitalization in the ward or ICU, the need for oxygen, or lung injury on CT-scan. Results: 40 of the 42 CPD were significantly modified in COVID-19 patients in comparison to 245 controls. @MN-V-MO and @SD-V-MO were highly correlated with C-reactive protein, procalcitonin, ferritin and D-dimers. SD-UMALS-LY > 21.45 and > 23.92 identified, respectively, patients with critical lung injuries (>75%) and requiring tracheal intubation. @SD-V-MO > 25.03 and @SD-V-NE > 19.4 identified patients required immediate ICU admission, whereas a @MN-V-MO < 183 suggested that the patient could be immediately discharged. Using logistic regression, the combination of 8 CPD with platelet and basophil counts and the existence of diabetes or obesity could identify patients requiring ICU after a first stay in conventional wards (area under the curve = 0.843). Conclusion: CPD analysis constitutes an easy and inexpensive tool for triage and prognosis of COVID-19 patients in the ED. |
| first_indexed | 2024-04-09T17:32:08Z |
| format | Article |
| id | doaj.art-153e5d81c70742238177a7e6e93433e5 |
| institution | Directory Open Access Journal |
| issn | 2352-9148 |
| language | English |
| last_indexed | 2024-04-09T17:32:08Z |
| publishDate | 2023-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Informatics in Medicine Unlocked |
| spelling | doaj.art-153e5d81c70742238177a7e6e93433e52023-04-18T04:08:54ZengElsevierInformatics in Medicine Unlocked2352-91482023-01-0138101207Prognostic value of cellular population data in patients with COVID-19Marc Vasse0Dmitry Sukhachev1Marie-Christine Ballester2Frédérique Delcominette3François Mellot4Florence Habarou5Aurélie Védrenne6Emilie Jolly7Elena Sukhacheva8Eric Farfour9Tiffany Pascreau10Service de Biologie Clinique, Hôpital Foch, Suresnes, France; UMRS 1176, Hôpital du Kremlin-Bicêtre, Le Kremlin-Bicêtre, France; Corresponding author. Service de Biologie Clinique, Hôpital Foch, 40, rue Worth, 92150, Suresnes, France.LabTech Ltd, Saint‐Petersburg, RussiaService d’Accueil des Urgences, Hôpital Foch, Suresnes, FranceService de Biologie Clinique, Hôpital Foch, Suresnes, FranceImagerie diagnostique et Interventionnelle, Hôpital Foch, Suresnes, FranceService de Biologie Clinique, Hôpital Foch, Suresnes, FranceService de Biologie Clinique, Hôpital Foch, Suresnes, FranceService de Biologie Clinique, Hôpital Foch, Suresnes, FranceBeckman Coulter Eurocenter, Nyon, SwitzerlandService de Biologie Clinique, Hôpital Foch, Suresnes, FranceService de Biologie Clinique, Hôpital Foch, Suresnes, France; UMRS 1176, Hôpital du Kremlin-Bicêtre, Le Kremlin-Bicêtre, FranceBackground and aims: Beckman Coulter hematology analysers identify leukocytes by their volume (V), conductivity (C) and scatter (S) of a laser beam at different angles. Each leukocyte sub-population [neutrophils (NE), lymphocytes (LY), monocytes (MO)] is characterized by the mean (MN) and the standard deviation (SD) of 7 measurements called “cellular population data” (@CPD), corresponding to morphological analysis of the leukocytes. As severe forms of infections to SARS-CoV-2 are characterized by a functional activation of mononuclear cells, leading to a cytokine storm, we evaluated whether CPD variations are correlated to the inflammation state, oxygen requirement and lung damage and whether CPD analysis could be useful for a triage of patients with COVID-19 in the Emergency Department (ED) and could help to identify patients with a high risk of worsening. Materials and method: The CPD of 825 consecutive patients with proven COVID-19 presenting to the ED were recorded and compared to classical biochemical parameters, the need for hospitalization in the ward or ICU, the need for oxygen, or lung injury on CT-scan. Results: 40 of the 42 CPD were significantly modified in COVID-19 patients in comparison to 245 controls. @MN-V-MO and @SD-V-MO were highly correlated with C-reactive protein, procalcitonin, ferritin and D-dimers. SD-UMALS-LY > 21.45 and > 23.92 identified, respectively, patients with critical lung injuries (>75%) and requiring tracheal intubation. @SD-V-MO > 25.03 and @SD-V-NE > 19.4 identified patients required immediate ICU admission, whereas a @MN-V-MO < 183 suggested that the patient could be immediately discharged. Using logistic regression, the combination of 8 CPD with platelet and basophil counts and the existence of diabetes or obesity could identify patients requiring ICU after a first stay in conventional wards (area under the curve = 0.843). Conclusion: CPD analysis constitutes an easy and inexpensive tool for triage and prognosis of COVID-19 patients in the ED.http://www.sciencedirect.com/science/article/pii/S2352914823000497COVID-19Cellular population dataPrognosis |
| spellingShingle | Marc Vasse Dmitry Sukhachev Marie-Christine Ballester Frédérique Delcominette François Mellot Florence Habarou Aurélie Védrenne Emilie Jolly Elena Sukhacheva Eric Farfour Tiffany Pascreau Prognostic value of cellular population data in patients with COVID-19 Informatics in Medicine Unlocked COVID-19 Cellular population data Prognosis |
| title | Prognostic value of cellular population data in patients with COVID-19 |
| title_full | Prognostic value of cellular population data in patients with COVID-19 |
| title_fullStr | Prognostic value of cellular population data in patients with COVID-19 |
| title_full_unstemmed | Prognostic value of cellular population data in patients with COVID-19 |
| title_short | Prognostic value of cellular population data in patients with COVID-19 |
| title_sort | prognostic value of cellular population data in patients with covid 19 |
| topic | COVID-19 Cellular population data Prognosis |
| url | http://www.sciencedirect.com/science/article/pii/S2352914823000497 |
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