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ORIGINAL RESEARCH article

Front. Immunol.

Sec. Inflammation

Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1545181

This article is part of the Research Topic Thromboinflammation in COVID-19: Unraveling Pathomechanisms and Post-Infection Sequelae View all 11 articles

Differences in the inflammatory response and outcome among hospitalized patients during different waves of the COVID-19 pandemic

Provisionally accepted
Violeta Briciu Violeta Briciu 1Daniel Corneliu Leucuta Daniel Corneliu Leucuta 2*Monica Muntean Monica Muntean 1Amanda Radulescu Amanda Radulescu 1Cristina Cismaru Cristina Cismaru 1Adriana Topan Adriana Topan 1Lucia Herbel Lucia Herbel 3Melinda Horvat Melinda Horvat 1Mirela Flonta Mirela Flonta 3Mihai Calin Mihai Calin 3Roxana Dobrota Roxana Dobrota 3Mihaela Lupse Mihaela Lupse 1
  • 1 Department of Infectious Diseases and Epidemiology, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
  • 2 Department of Medical Informatics and Biostatistics, University of Medicine and Pharmacy Iuliu Hatieganu, Cluj-Napoca, Romania
  • 3 The Clinical Hospital of Infectious Diseases, Cluj-Napoca, Romania

The final, formatted version of the article will be published soon.

    The aim of this study was to evaluate differences in inflammatory biomarkers and association with outcomes in hospitalized patients with COVID-19 during four pandemic waves determined by different SARS-CoV-2 variants of concern. We explored if laboratory biomarkers of inflammation adjusted to patients' comorbidities, age, and vaccination status correlated with severity and mortality. A retrospective study on 8614 consecutive hospitalized COVID-19 patients was conducted in a Romanian hospital on a three years interval (February 2020-May 2023). Data collected included demographics, duration of hospitalization, comorbidities, vaccination status, COVID-19 severity, outcome, and markers of inflammation from first blood test performed at admittance (CRP, fibrinogen, ferritin, lactate dehydrogenase (LDH), procalcitonin (PCT), IL-6, D-dimer, complete blood count). Systemic inflammatory indexes like NLR (neutrophile-to-lymphocyte ratio), derived neutrophile to leucocyte ratio (dNLR), LMR (lymphocyte-to-monocyte ratio), PLR (platelets-tolymphocyte ratio), NPR (neutrophile-to-platelets ratio), SII (Systemic Immune-Inflammation Index) and SIRI (systemic inflammation response index) were calculated. The Delta wave, characterized by the longest hospitalizations and the highest rates of severe cases and mortality, showed significant elevations in inflammatory biomarkers. CRP, fibrinogen, ferritin, IL-6, D-dimer, and LDH increase in their median values from Wuhan to Delta wave, and decrease in Omicron, except PCT which increases from Alpha to Omicron wave. Leucocytes and neutrophils increase in their median values from Wuhan to Delta wave, and decrease in Omicron while an inverse pattern can be observed for lymphocytes, monocytes and basophils. The best inflammatory biomarkers for predicting severe/critical COVID-19 were CRP, dNLR, LDH, and NLR, (cut-off of 3.41 mg/dL, 3.05, 262 U/L and 4.5) while for predicting death outcome were dNLR, NLR, LDH and NPR (cut-off of 3.6, 4.9, 278 U/L and 0.02). For all these biomarkers the AUCs surpassed 0.8. In the multivariate analysis the highest adjusted OR for death were described for dNR (8.46), NLR (7.59), LDH (5.99) and NPR (5.5), while increased lymphocytes decrease the most the odds of death (0.16). The study, underscoring the dynamic nature of COVID-19, brings a detailed analysis on biomarkers trends that could provide valuable information for early identification of patients at risk for severe outcome, allowing for timely interventions.

    Keywords: COVID-19, pandemic waves, Inflammatory biomarkers, systemic inflammatory indexes, Disease Severity, Mortality

    Received: 14 Dec 2024; Accepted: 03 Mar 2025.

    Copyright: © 2025 Briciu, Leucuta, Muntean, Radulescu, Cismaru, Topan, Herbel, Horvat, Flonta, Calin, Dobrota and Lupse. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Daniel Corneliu Leucuta, Department of Medical Informatics and Biostatistics, University of Medicine and Pharmacy Iuliu Hatieganu, Cluj-Napoca, Romania

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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