Immune Biomarkers for Early Recognition of Multidrug-Resistant Infections in VAP Patients

A retrospective analysis of 247 non-immunocompromised patients with ventilator-associated pneumonia (VAP) in a Neurointensive Care Unit, conducted by Mingying Tang. The dataset likely contains immunological indicators measured within 72 hours of VAP onset, including interleukin levels and T-cell parameters, used to assess risk factors for multidrug-resistant organism infections.

Use Cases

• Identifying risk factors for multidrug-resistant bacterial infections based on elevated IL-10 and IL-6 levels.
• Evaluating the diagnostic performance of combined biomarker models for early infection recognition.
• Comparing host immune responses across different pathogen-specific subgroups like ESBL-KP and CRAB.

Strengths

• Dataset includes results from 247 patient records.
• Analysis employs multiple statistical methods: binary logistic regression, subgroup analyses, and ROC curve evaluation.
• Focuses on early-stage (within 72 hours) immunological indicators for timely clinical intervention.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying data table is unknown, which may limit suitability assessment.
• The 18.6 KB file size suggests a very limited scope, likely containing summary results rather than raw patient-level data.

Provenance

Source

figshare

Collection Method

Retrospective analysis of patient records from a Neurointensive Care Unit.

Freshness

Last updated 2026-06-04 04:27:39; freshness should be verified.