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Cited by 890

The DOI matches its Crossref record; 109 of the 109 references it cites were found in a registry or an index.

Biomarkers associated with COVID-19 disease progression

Open access
Ponti, Giovanni, Maccaferri, Monia, Ruini, Cristel, Tomasi, Aldo, Ozben, Tomris·2020·Critical Reviews in Clinical Laboratory Sciences

Abstract

The coronavirus disease 2019 (COVID-19) pandemic is a scientific, medical, and social challenge. The complexity of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is centered on the unpredictable clinical course of the disease that can rapidly develop, causing severe and deadly complications. The identification of effective laboratory biomarkers able to classify patients based on their risk is imperative in being able to guarantee prompt treatment. The analysis of recently published studies highlights the role of systemic vasculitis and cytokine mediated coagulation disorders as the principal actors of multi organ failure in patients with severe COVID-19 complications. The following biomarkers have been identified: hematological (lymphocyte count, neutrophil count, neutrophil-lymphocyte ratio (NLR)), inflammatory (C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), procalcitonin (PCT)), immunological (interleukin (IL)-6 and biochemical (D-dimer, troponin, creatine kinase (CK), aspartate aminotransferase (AST)), especially those related to coagulation cascades in disseminated intravascular coagulation (DIC) and acute respiratory distress syndrome (ARDS). New laboratory biomarkers could be identified through the accurate analysis of multicentric case series; in particular, homocysteine and angiotensin II could play a significant role.

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Metadata

Authors
Ponti, G., Maccaferri, M., Ruini, C., Tomasi, A., & Ozben, T.
Venue
Critical Reviews in Clinical Laboratory Sciences
Published
2020-06-05
Volume
57
Issue
6
Pages
389-399
ISSN
  • 1040-8363 (ISSN-L)
  • 1549-781X
OpenAlex
W3033072986
Cited by
890
References
109
FWCI
9.79
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Biomarkers associated with COVID-19 disease progression. https://app.cochat.ai/papers/10.1080/10408363.2020.1770685
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Ponti, G., Maccaferri, M., Ruini, C., Tomasi, A., & Ozben, T. (2020). Biomarkers associated with COVID-19 disease progression. Critical Reviews in Clinical Laboratory Sciences. https://doi.org/10.1080/10408363.2020.1770685

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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