Dynamic hyperinflammatory response assessment using HIC scores in COVID-19: application to a large series of patients receiving anakinra - Report - MDSpire

Dynamic hyperinflammatory response assessment using HIC scores in COVID-19: application to a large series of patients receiving anakinra

  • By

  • Shirkhan Amikishiyev

  • Rabia Deniz

  • Mehmet Guven Gunver

  • Sarvan Aghamuradov

  • Nevzat Koca

  • Burak Ince

  • Murat Bektas

  • Aysenur Yilmaz

  • Yagmur Canturk

  • Gorkem Durak

  • Murat Kose

  • Mustafa Erelel

  • Arif Atahan Çağatay

  • Serap Simsek Yavuz

  • Sevgi Kalayoglu Besisik

  • Figen Esen

  • Ahmet Gül

  • May 22, 2026

  • 0 min

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Clinical Report: Evaluation of Dynamic Hyperinflammatory Responses through HIC Scores in COVID-19

Overview

This study evaluates the Hyperinflammation in COVID-19 (HIC) score as a diagnostic and monitoring tool in hospitalized patients treated with anakinra. Findings indicate that higher HIC scores correlate with in-hospital mortality and that early CRP reduction is associated with better outcomes.

Background

Hyperinflammatory responses in severe COVID-19 can lead to significant morbidity and mortality, resembling conditions like hemophagocytic lymphohistiocytosis. The ability to dynamically assess and monitor these responses is crucial for optimizing treatment strategies, particularly with agents like anakinra. The HIC score offers a potential framework for this dynamic assessment.

Data Highlights

OutcomeSurvivorsNon-Survivors
Overall Mortality12.8%87.2%
Time to ≥50% CRP Reduction3.1 days4.7 days
AUC for HIC at initiation0.75

Key Findings

  • Overall mortality among patients was 12.8%.
  • Survivors achieved ≥50% CRP reduction in an average of 3.1 days compared to 4.7 days for non-survivors.
  • Dynamic changes in HIC scores and inflammatory biomarkers were observed within 3-4 days of treatment.
  • HIC scores at the initiation of anakinra and at final assessment effectively discriminated between survivors and non-survivors.
  • Baseline HIC scores had limited predictive value for outcomes.

Clinical Implications

The HIC score can serve as a valuable tool for diagnosing and monitoring hyperinflammation in COVID-19 patients. Clinicians may consider initiating anakinra when HIC is ≥35 but <70 and reassessing treatment response after 3-4 days.

Conclusion

The study supports the use of the HIC score for dynamic monitoring of hyperinflammatory responses in COVID-19, potentially guiding treatment decisions with anakinra.

Related Resources & Content

  1. Infectious Diseases Society of America, Clinical Infectious Diseases, 2025 -- 2025 Clinical Practice Guideline Update on the Treatment and Management of COVID-19
  2. Thorax, 2025 -- Tocilizumab, sarilumab and anakinra in critically ill patients with COVID-19: a randomised, controlled, open-label, adaptive platform trial
  3. PMC, 2022 -- Criteria for hyperinflammation developing in coronavirus disease‐19: analysis of two cohorts from different periods of the pandemic
  4. Infection — Predictive Value and Patterns of Inflammatory Markers for Clinical Outcomes in COVID-19 Patients Undergoing Tocilizumab Treatment
  5. Clinical Rheumatology — Investigation of Antibody Formation Against Anakinra in Patients with Severe CAPS: A Sub-analysis from a Long-term Safety and Efficacy Study
  6. Pediatric Cardiology — Distinguishing Kawasaki Disease from Multisystem Inflammatory Syndrome in Pediatric Patients Through Blood Composite Scores: Implications for Clinical Outcomes and Predictive Measures
  7. Bone Marrow Transplantation — Cytokine Profiling of Serum and CSF for Assessing ICANS Risk in CD19 CAR-T Treatment
  8. 2025 Clinical Practice Guideline Update by the Infectious Diseases Society of America on the Treatment and Management of COVID-19: Baricitinib vs. Tocilizumab | Clinical Infectious Diseases | Oxford Academic
  9. Tocilizumab, sarilumab and anakinra in critically ill patients with COVID-19: a randomised, controlled, open-label, adaptive platform trial | Thorax
  10. Criteria for hyperinflammation developing in coronavirus disease‐19: analysis of two cohorts from different periods of the pandemic - PMC

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