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Value of hematological parameters for predicting patients with severe coronavirus disease 2019: a real-world cohort from Morocco
OBJECTIVE: Coronavirus disease 2019 (COVID-19) is a viral disease caused by severe acute respiratory syndrome coronavirus 2. The clinical manifestations and the evolution of patients with COVID-19 are variable. In addition to respiratory involvement, COVID-19 leads to systemic involvement and can af...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340338/ https://www.ncbi.nlm.nih.gov/pubmed/35854474 http://dx.doi.org/10.1177/03000605221109381 |
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author | Azghar, Ali Bensalah, Mohammed Berhili, Abdelilah Slaoui, Mounia Mouhoub, Boutaina El Mezgueldi, Imane Nassiri, Oumaima El Malki, Jalila Maleb, Adil Seddik, Rachid |
author_facet | Azghar, Ali Bensalah, Mohammed Berhili, Abdelilah Slaoui, Mounia Mouhoub, Boutaina El Mezgueldi, Imane Nassiri, Oumaima El Malki, Jalila Maleb, Adil Seddik, Rachid |
author_sort | Azghar, Ali |
collection | PubMed |
description | OBJECTIVE: Coronavirus disease 2019 (COVID-19) is a viral disease caused by severe acute respiratory syndrome coronavirus 2. The clinical manifestations and the evolution of patients with COVID-19 are variable. In addition to respiratory involvement, COVID-19 leads to systemic involvement and can affect the hematopoietic system. This study aimed to evaluate the prognostic value of hematological and hemocytometric parameters in predicting the severity of patients with COVID-19. METHODS: We performed a retrospective study at Mohammed VI university Hospital from 1 March to 11 November 2020. We collected demographic characteristics and hematological findings of incident COVID-19 cases. RESULTS: A total of 245 patients were included in our study. We found that the rate of lymphopenia was significantly reduced in patients who were severely affected by COVID-19. Additionally, the rate of neutrophilia, the neutrophil side fluorescence light signal, monocyte fluorescent intensity, monocyte size, the neutrophil-to-lymphocyte ratio, the platelet-to-lymphocyte ratio, and the lymphocyte-to-monocyte ratio were significantly elevated in patients who were severely affected by COVID-19. CONCLUSIONS: These results are consistent with the literature regarding the predictive value of these markers. A prospective validation in a large population with a longer follow-up is required. |
format | Online Article Text |
id | pubmed-9340338 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-93403382022-08-02 Value of hematological parameters for predicting patients with severe coronavirus disease 2019: a real-world cohort from Morocco Azghar, Ali Bensalah, Mohammed Berhili, Abdelilah Slaoui, Mounia Mouhoub, Boutaina El Mezgueldi, Imane Nassiri, Oumaima El Malki, Jalila Maleb, Adil Seddik, Rachid J Int Med Res Retrospective Clinical Research Report OBJECTIVE: Coronavirus disease 2019 (COVID-19) is a viral disease caused by severe acute respiratory syndrome coronavirus 2. The clinical manifestations and the evolution of patients with COVID-19 are variable. In addition to respiratory involvement, COVID-19 leads to systemic involvement and can affect the hematopoietic system. This study aimed to evaluate the prognostic value of hematological and hemocytometric parameters in predicting the severity of patients with COVID-19. METHODS: We performed a retrospective study at Mohammed VI university Hospital from 1 March to 11 November 2020. We collected demographic characteristics and hematological findings of incident COVID-19 cases. RESULTS: A total of 245 patients were included in our study. We found that the rate of lymphopenia was significantly reduced in patients who were severely affected by COVID-19. Additionally, the rate of neutrophilia, the neutrophil side fluorescence light signal, monocyte fluorescent intensity, monocyte size, the neutrophil-to-lymphocyte ratio, the platelet-to-lymphocyte ratio, and the lymphocyte-to-monocyte ratio were significantly elevated in patients who were severely affected by COVID-19. CONCLUSIONS: These results are consistent with the literature regarding the predictive value of these markers. A prospective validation in a large population with a longer follow-up is required. SAGE Publications 2022-07-19 /pmc/articles/PMC9340338/ /pubmed/35854474 http://dx.doi.org/10.1177/03000605221109381 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Retrospective Clinical Research Report Azghar, Ali Bensalah, Mohammed Berhili, Abdelilah Slaoui, Mounia Mouhoub, Boutaina El Mezgueldi, Imane Nassiri, Oumaima El Malki, Jalila Maleb, Adil Seddik, Rachid Value of hematological parameters for predicting patients with severe coronavirus disease 2019: a real-world cohort from Morocco |
title | Value of hematological parameters for predicting patients with severe
coronavirus disease 2019: a real-world cohort from Morocco |
title_full | Value of hematological parameters for predicting patients with severe
coronavirus disease 2019: a real-world cohort from Morocco |
title_fullStr | Value of hematological parameters for predicting patients with severe
coronavirus disease 2019: a real-world cohort from Morocco |
title_full_unstemmed | Value of hematological parameters for predicting patients with severe
coronavirus disease 2019: a real-world cohort from Morocco |
title_short | Value of hematological parameters for predicting patients with severe
coronavirus disease 2019: a real-world cohort from Morocco |
title_sort | value of hematological parameters for predicting patients with severe
coronavirus disease 2019: a real-world cohort from morocco |
topic | Retrospective Clinical Research Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340338/ https://www.ncbi.nlm.nih.gov/pubmed/35854474 http://dx.doi.org/10.1177/03000605221109381 |
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