Table 1_Dynamic hyperinflammatory response assessment using HIC scores in COVID-19: applic

Shirkhan Amikishiyev's dataset analyzes 218 hospitalized COVID-19 patients with hyperinflammation (HIC ≥35) who received anakinra at a tertiary referral center. It includes data on in-hospital mortality, time to CRP reduction, ICU admission, mechanical ventilation, and dynamic changes in ΔHIC and inflammatory biomarkers. The dataset was last updated on May 22, 2026.

Use Cases

• Predicting patient mortality based on HIC score dynamics and biomarker divergence.
• Evaluating the efficacy of IL-1 blockade (anakinra) treatment based on CRP reduction kinetics.
• Identifying optimal timing for treatment initiation and reassessment using HIC score thresholds.
• Analyzing the relationship between neutrophil count, D-dimer, LDH, procalcitonin, and creatine kinase with patient outcomes.

Strengths

• Contains data from 218 patient records, providing a substantial cohort for analysis.
• Includes specific outcome metrics: 12.8% overall mortality and time to CRP reduction (3.1 vs. 4.7 days for survivors vs. non-survivors).
• Provides ROC analysis results with AUC values (0.75) and HIC score cut-offs (70.8 and 66.5) for discriminating survivors.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect temporal and institutional bias inherent to a single-center retrospective study.

Provenance

Source

figshare, author Shirkhan Amikishiyev.

Collection Method

Retrospective analysis of patients at a tertiary referral center.

Freshness

Last updated 2026-05-22 05:33:54; freshness should be verified.