Serum Cytokine Profiles Predicting Severe COVID-19 Outcomes in 103 Hospitalized Patients

Anita Muglia's dataset contains serum cytokine and chemokine measurements from 103 RT-PCR-confirmed COVID-19 patients hospitalized during the first pandemic wave in Italy from January to May 2020. The data includes concentrations of IL-1β, IL-6, IL-8, IL-10, TNF-α, CCL3, and CXCL10 (IP-10) and their associations with in-hospital mortality and ICU admission. It was last updated on 2026-05-25.

Use Cases

• Train models to predict ICU admission based on cytokine levels and clinical parameters.
• Identify key immunological predictors of mortality in COVID-19 patients.
• Validate CXCL10 as a biomarker for early risk stratification in hospitalized patients.
• Study the relationship between dysregulated inflammatory responses and severe clinical outcomes.

Strengths

• Includes data from 103 patients with RT-PCR-confirmed COVID-19.
• Measures 7 specific cytokines and chemokines (IL-1β, IL-6, IL-8, IL-10, TNF-α, CCL3, CXCL10).
• Clinical outcomes are clearly defined (6.8% ICU admission, 11.7% mortality).
• Multivariable logistic regression results, including odds ratios, are provided.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 14.3 KB, indicating limited scope.

Provenance

Source

Department of Public Health and Infectious Diseases, Sapienza University of Rome; Istituto Superiore di Sanità.

Collection Method

Retrospective study using multiplex ELISA to quantify serum cytokines from patient samples collected at hospital admission.

Time Range

January-May 2020

Freshness

Last updated 2026-05-25 06:03:21; freshness should be verified.

Geography

Italy