Article

Implications of Laboratory Tests in Disease Grading and Death Risk-Stratification of COVID-19: A Retrospective Study in Wuhan, China

2020-11-24

Abstract excerpt

Background: Although laboratory tests have become an indispensable part in clinical practice, its role in severity classification and death risk-stratification of coronavirus disease-2019 (COVID-19) remains unvalidated. <br><br>Methods: In 3342 hospitalized patients with COVID-19, those of mild or moderate subtype were categorized into non-severe group, while those of severe or critical subtype categorized into...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 4691e1be-323a-5cc3-8de2-526883a93265
DOI: 10.2139/ssrn.3722066

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Implications of Laboratory Tests in Disease Grading and Death Risk-Stratification of COVID-19: A Retrospective Study in Wuhan, ChinaDOI 10.2139/ssrn.3722066Read

Diagnostic and prognostic value of hematological and immunological markers in COVID-19 infection: A meta-analysis of 6320 patientsSemantic proximity Read

Lymphocyte subsets as a predictor of severity and prognosis in COVID-19 patients.Semantic proximity Read

Lymphocyte count is a universal predictor to the health status and outcomes of patients with coronavirus disease 2019 (COVID-19): A systematic review and meta-regression analysisSemantic proximity Read

Lymphocyte Count is a Universal Predictor to the Health Status and Outcomes of Patients with Coronavirus Disease 2019 (COVID-19): A Systematic Review and Meta-Regression AnalysisSemantic proximity Read

Exposing Limitations of Clinical Laboratory Tests in COVID-19 and the Promise of Immunological BiomarkersSemantic proximity Read

Platelet-to-lymphocyte ratio (PLR), a novel biomarker to predict the severity of COVID-19 patients: a systematic review and meta-analysisSemantic proximity Read

Prognosing the Risk of COVID-19 Death Through a Machine Learning-Based Routine Blood PanelSemantic proximity Read

Early Biochemical Analysis of COVID-19 Patients Helps Severity PredictionSemantic proximity Read

Analysis of Clinical Characteristics of Patients with Critical COVID-19Semantic proximity Read

Combined lymphocyte/monocyte count, D-dimer and iron status predict COVID-19 course and outcome in a long-term care facilitySemantic proximity Read

Limited Performance of Biomarkers and Clinical Parameters in COVID–19: Improving Interpretation and Exploration of New Immunological MarkersSemantic proximity Read

Potential biomarkers for fatal outcome prognosis in a cohort of hospitalized COVID-19 patients with pre-existing co-morbiditiesSemantic proximity Read