Serum Cytokine Profiles Predicting Severe COVID-19 Outcomes in Italian Hospital Patients

A retrospective study of 103 RT-PCR-confirmed COVID-19 patients hospitalized during the first pandemic wave in Italy from January to May 2020. It contains serum cytokine and chemokine measurements, including IL-1β, IL-6, IL-8, IL-10, TNF-α, CCL3, and CXCL10, linked to clinical outcomes like ICU admission and mortality. The dataset was authored by Anita Muglia and shared under a CC-BY-4.0 license.

Use Cases

• Predicting ICU admission risk based on serum CXCL10 levels and clinical parameters.
• Modeling in-hospital mortality using cytokine profiles and patient demographics.
• Identifying key immunological predictors for severe COVID-19 outcomes from a panel of inflammatory mediators.
• Validating CXCL10 as a potential therapeutic target or early biomarker for disease severity.

Strengths

• Includes data from 103 patients with RT-PCR-confirmed COVID-19.
• Quantifies serum concentrations of 7 specific cytokines and chemokines (IL-1β, IL-6, IL-8, IL-10, TNF-α, CCL3, CXCL10).
• Clinical outcomes are clearly defined (ICU admission 6.8%, mortality 11.7%) and linked to biomarker data.
• Multivariable logistic regression results, including odds ratios and confidence intervals, are provided for key predictors like CXCL10.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is from a single wave (Jan-May 2020) in Italy, which may limit generalizability to other variants or geographies.
• The dataset is very small at 19.7 KB, indicating limited scope.

Provenance

Source

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

Collection Method

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

Time Range

January 2020 - May 2020

Freshness

Last updated 2026-05-25 06:03:20; freshness should be verified.

Geography

Italy