Biomarker Concentrations in Normoglycemic COVID-19 Patients: A Pilot Study

Approximately 200 participants were analyzed in a study comparing inflammatory and metabolic markers between symptomatic COVID-19 patients and healthy controls. The data, published by Joanna Adamiec-Mroczek on figshare, shows significantly higher values for markers like NSE, S100B, and monocyte counts in the patient group. A multivariate model identified monocyte count, neutrophil count, and NSE as positively associated with the likelihood of a COVID-19 diagnosis.

Use Cases

• Train classification models to distinguish COVID-19 patients from healthy individuals based on blood marker profiles.
• Analyze correlations between specific biomarkers like NSE, S100B, and neutrophil elastase with COVID-19 status.
• Validate the diagnostic utility of monocyte and neutrophil counts as predictors of SARS-CoV-2 infection.
• Conduct feature importance analysis on a panel of classical inflammatory and metabolic markers for viral disease.

Strengths

• Data is from a controlled study with approximately 100 participants in both the patient and control groups.
• The study group was carefully selected to be homogeneous, consisting of symptomatic COVID-19 patients without comorbidities.
• Analysis includes odds ratios and confidence intervals for key biomarkers like monocytes, neutrophils, and NSE.

Limitations

• Row count is unknown, which may limit suitability assessment for machine learning tasks.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 34.9 KB, indicating limited scope.

Provenance

Source

figshare, author Joanna Adamiec-Mroczek

Collection Method

Clinical study comparing biomarker concentrations in selected patient and control groups.

Freshness

Last updated 2026-03-18 05:34:47; freshness should be verified.