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  1. Article ; Online: Hematological predictors of novel Coronavirus infection.

    Aktas, Gulali

    Revista da Associacao Medica Brasileira (1992)

    2021  Volume 67Suppl 1, Issue Suppl 1, Page(s) 1–2

    MeSH term(s) COVID-19 ; Humans ; Leukocyte Count ; SARS-CoV-2
    Language English
    Publishing date 2021-07-09
    Publishing country Brazil
    Document type Letter ; Comment
    ZDB-ID 731969-1
    ISSN 1806-9282 ; 0104-4230 ; 0004-5241 ; 0102-843X
    ISSN (online) 1806-9282
    ISSN 0104-4230 ; 0004-5241 ; 0102-843X
    DOI 10.1590/1806-9282.67.Suppl1.20200678
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Hematological predictors of novel Coronavirus infection

    Gulali Aktas

    Revista da Associação Médica Brasileira, Vol 67, Iss suppl 1, Pp 1-

    2021  Volume 2

    Keywords Medicine (General) ; R5-920
    Language English
    Publishing date 2021-07-01T00:00:00Z
    Publisher Associação Médica Brasileira
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: Role of Hematological Parameters in the Grading of COVID-19 and a Model to Predict the Outcome in Inpatients.

    Kumar, Yogesh / Kumari, Amita / Kumar, Tribhuwan / Jha, Kamlesh / Zabihullah, Md

    Cureus

    2023  Volume 15, Issue 9, Page(s) e45276

    Abstract: ... infection potential. COVID-19, driven by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has ... 2019 (COVID-19) pandemic underscore the recurring emergence of novel coronaviruses with severe human ... the 2003 severe acute respiratory distress syndrome (SARS) epidemic and the ongoing coronavirus disease ...

    Abstract Introduction Human coronaviruses, identified in the 1960s, are known culprits of respiratory infections. Classified into alpha, beta, gamma, and delta subgroups, these viruses have the capacity to transition from animal reservoirs to causing severe respiratory ailments in humans. Notable outbreaks like the 2003 severe acute respiratory distress syndrome (SARS) epidemic and the ongoing coronavirus disease 2019 (COVID-19) pandemic underscore the recurring emergence of novel coronaviruses with severe human infection potential. COVID-19, driven by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has rapidly become a leading global cause of severe acute respiratory syndrome. Immune system disruptions and cytokine imbalances contribute to severe cases, necessitating early diagnosis and precise severity assessment. Methodology This retrospective cross-sectional study encompassed 211 COVID-19 patients admitted to AIIMS Patna from May to July 2020. Clinical and hematological parameters, including neutrophils, eosinophils, basophils, lymphocytes, monocytes, red and white blood cell counts, platelet count, C-reactive protein (CRP), serum ferritin, and d-dimer, were meticulously recorded. Patients were categorized into non-severe and severe groups using the National Early Warning Score (NEWS) 2. Results  Our findings underscore the pivotal role of hematological markers in gauging COVID-19 severity. Notably, markers such as neutrophil-to-lymphocyte ratio (NLR), derived NLR, lymphocyte monocyte ratio, platelet lymphocyte ratio, d-dimer, CRP, and serum ferritin exhibited notable elevation in severe cases. Survival analysis further established the predictive potential of these markers in assessing disease progression and mortality risk. We advocate for the integration of these markers into existing severity assessment frameworks to foster objective clinical evaluations. Conclusion In conclusion, our study unravels the intricate connection between COVID-19 severity and hematological parameters. We emphasize the early warning capabilities of NLR, derived NLR, platelet lymphocyte ratio, and other markers in predicting disease progression. This research underscores the imperative need to incorporate hematological markers into the evaluation of COVID-19 severity, thereby providing invaluable insights for enhancing clinical practice and patient outcomes.
    Language English
    Publishing date 2023-09-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2747273-5
    ISSN 2168-8184
    ISSN 2168-8184
    DOI 10.7759/cureus.45276
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Associations between hematological parameters and disease severity in patients with SARS-CoV-2 infection.

    Lin, Sha / Mao, Weilin / Zou, Qianda / Lu, Siming / Zheng, Shufa

    Journal of clinical laboratory analysis

    2020  Volume 35, Issue 1, Page(s) e23604

    Abstract: Background: The emergence and rapid spread of the deadly novel coronavirus disease caused ... Conclusion: Among hematological parameters, the NLR showed superior prediction of disease severity ... infection is characterized by the development and progression of inflammatory responses. Hematological ...

    Abstract Background: The emergence and rapid spread of the deadly novel coronavirus disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a swiftly evolving public health crisis worldwide. SARS-CoV-2 infection is characterized by the development and progression of inflammatory responses. Hematological parameters, such as white blood cells (WBCs) and their subpopulations, red cell distribution width, platelet count, mean platelet volume, plateletcrit, and derived markers such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio, are established biomarkers of inflammatory responses. We aimed to investigate associations between hematological parameters and disease severity in patients with SARS-CoV-2 infection.
    Methods: We retrospectively analyzed data from 68 patients with confirmed SARS-CoV-2 infection. Twenty-two patients had mild illness, and 46 had moderate or severe illness at the time of admission. Univariate and multivariate regression analyses were used to identify correlates of disease severity. The areas under receiver operating characteristic curves were calculated to estimate and compare the predictive values of different diagnostic markers.
    Results: Mean lymphocyte and monocyte counts were lower while WBC counts, neutrophil counts, NLR, and PLR were higher in patients with severe disease compared with those with mild disease (all P < .01). Univariate analysis revealed that older age, high WBC counts, high neutrophil counts, high NLR, high PLR, low monocyte counts, and low lymphocyte counts were independent correlates of severe illness. Multivariate analysis identified high NLR as the only independent correlate of severe illness. Receiver operating characteristic curve analysis showed that NLR had the highest area under curve of all hematological parameters.
    Conclusion: Among hematological parameters, the NLR showed superior prediction of disease severity in patients with SARS-CoV-2 infection. Thus, the NLR could be a valuable parameter to complement conventional measures for identification of patients at high risk for severe disease.
    MeSH term(s) Adult ; Aged ; Biomarkers/blood ; COVID-19/blood ; COVID-19/etiology ; Female ; Humans ; Leukocyte Count ; Lymphocyte Count ; Male ; Middle Aged ; Neutrophils ; ROC Curve ; Risk Factors
    Chemical Substances Biomarkers
    Keywords covid19
    Language English
    Publishing date 2020-11-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 645095-7
    ISSN 1098-2825 ; 0887-8013
    ISSN (online) 1098-2825
    ISSN 0887-8013
    DOI 10.1002/jcla.23604
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Associations between hematological parameters and disease severity in patients with SARS-CoV-2 infection

    Lin, S. / Mao, W. / Zou, Q. / Lu, S. / Zheng, S.

    J Clin Lab Anal

    Abstract: BACKGROUND: The emergence and rapid spread of the deadly novel coronavirus disease caused ... infection is characterized by the development and progression of inflammatory responses Hematological ... by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a swiftly evolving public health crisis worldwide SARS-CoV-2 ...

    Abstract BACKGROUND: The emergence and rapid spread of the deadly novel coronavirus disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a swiftly evolving public health crisis worldwide SARS-CoV-2 infection is characterized by the development and progression of inflammatory responses Hematological parameters, such as white blood cells (WBCs) and their subpopulations, red cell distribution width, platelet count, mean platelet volume, plateletcrit, and derived markers such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio, are established biomarkers of inflammatory responses We aimed to investigate associations between hematological parameters and disease severity in patients with SARS-CoV-2 infection METHODS: We retrospectively analyzed data from 68 patients with confirmed SARS-CoV-2 infection Twenty-two patients had mild illness, and 46 had moderate or severe illness at the time of admission Univariate and multivariate regression analyses were used to identify correlates of disease severity The areas under receiver operating characteristic curves were calculated to estimate and compare the predictive values of different diagnostic markers RESULTS: Mean lymphocyte and monocyte counts were lower while WBC counts, neutrophil counts, NLR, and PLR were higher in patients with severe disease compared with those with mild disease (all P < 01) Univariate analysis revealed that older age, high WBC counts, high neutrophil counts, high NLR, high PLR, low monocyte counts, and low lymphocyte counts were independent correlates of severe illness Multivariate analysis identified high NLR as the only independent correlate of severe illness Receiver operating characteristic curve analysis showed that NLR had the highest area under curve of all hematological parameters CONCLUSION: Among hematological parameters, the NLR showed superior prediction of disease severity in patients with SARS-CoV-2 infection Thus, the NLR could be a valuable parameter to complement conventional measures for identification of patients at high risk for severe disease
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #921730
    Database COVID19

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