Evidence map›Paper›PMID 35854474›Full record

ArticleThe Journal of international medical research2022

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

Ali Azghar, Mohammed Bensalah, Abdelilah Berhili, Mounia Slaoui, Boutaina Mouhoub, Imane El Mezgueldi, Oumaima Nassiri, Jalila El Malki, Adil Maleb, Rachid Seddik

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Article in The Journal of international medical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Ali AzgharHematology Laboratory, Mohammed VI University Hospital Center, Oujda, Morocco.ORCID https://orcid.org/0000-0002-6749-8857
Mohammed BensalahHematology Laboratory, Mohammed VI University Hospital Center, Oujda, Morocco.
Abdelilah BerhiliHematology Laboratory, Mohammed VI University Hospital Center, Oujda, Morocco.
Mounia SlaouiHematology Laboratory, Mohammed VI University Hospital Center, Oujda, Morocco.
Boutaina MouhoubHematology Laboratory, Mohammed VI University Hospital Center, Oujda, Morocco.
Imane El MezgueldiHematology Laboratory, Mohammed VI University Hospital Center, Oujda, Morocco.
Oumaima NassiriHematology Laboratory, Mohammed VI University Hospital Center, Oujda, Morocco.
Jalila El MalkiHematology Laboratory, Mohammed VI University Hospital Center, Oujda, Morocco.
Adil MalebMicrobiology Laboratory, Mohammed VI University Hospital Center, Oujda, Morocco.
Rachid SeddikHematology Laboratory, Mohammed VI University Hospital Center, Oujda, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCoronavirus 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.

methodsWe 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.

resultsA 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.

conclusionsThese 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.

Indexed as

COVID-19LymphopeniaHumansMoroccoNeutrophilsRetrospective StudiesSARS-CoV-2biomarkerCoronavirus disease 2019hematological parameterlymphopeniaMorocconeutrophil side fluorescence

Identifiers

PMID35854474
PMCPMC9340338

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.