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Publications

Journal Article Epublish

PubMed: 40004710 DOI: 10.3390/jcm14041180

Bayesian Modeling of the Impact of HBOT on the Reduction in Cytokine Storms.

J Clin Med 14(4)

Authors: Natalia Jermakow, Klaudia Brodaczewska, Jacek Kot, Arkadiusz Lubas, Krzysztof Kłos, Jacek Siewiera

Affiliations

  • Department of Hyperbaric Medicine, Military Institute of Medicine, National Science Institute, Szaserów 128, 04-141 Warsaw, Poland.
  • The Laboratory of Molecular Oncology and Innovative Therapies, Military Institute of Medicine, National Science Institute, Szaserów 128, 04-141 Warsaw, Poland.
  • National Centre for Hyperbaric Medicine, Institute of Maritime and Tropical Medicine, Medical University of Gdansk, Powstania Styczniowego 9B, 81-519 Gdynia, Poland.
  • Department of Internal Diseases Nephrology and Dialysis, Military Institute of Medicine, National Science Institute, Szaserów 128, 04-141 Warsaw, Poland.
  • Department of Infectious Diseases and Allergology, Military Institute of Medicine, National Science Institute, Szaserów 128, 04-141 Warsaw, Poland.

Abstract

Since the initial identification of SARS-CoV-2 infections, numerous clinical challenges have arisen, revealing both acute and long-term effects associated with COVID-19. These effects impact various systems within the body, including the respiratory, cardiovascular, and nervous systems. : This study aimed to investigate the immunological and inflammatory parameters in patients with severe COVID-19 and evaluate the effects of hyperbaric oxygen therapy (HBOT) on these parameters. : This study enrolled thirty patients from the Military Medical Institute-National Research Institute in Warsaw, who were hospitalized for SARS-CoV-2 infection. Patients were screened for eligibility based on pre-defined inclusion criteria. The subjects were randomly assigned to one of two groups: hyperbaric oxygen therapy (HBOT) or a control group. Immune profiling was performed, measuring cytokine concentrations and leukocyte subpopulations in serum samples. Outcomes were assessed using Bayesian modeling. : Bayesian regression analysis confirmed previous findings, indicating that HBOT may reduce inflammatory cytokine levels while improving oxygen saturation (SpO) in patients with moderate and severe COVID-19. Moreover, the analysis suggested a higher probability of HBOT success in modulating the immune response and reducing inflammatory parameters, particularly in T lymphocyte subpopulations. : Hyperbaric oxygen therapy (HBOT) may serve as an effective adjunctive treatment for patients with COVID-19 by enhancing oxygen saturation and modulating the immune response. Further studies are needed to elucidate the underlying mechanisms of HBOT on inflammatory and immunological parameters in COVID-19 patients.

MeSH

Cytokines, Covid-19, Immunity, Hyperbaric Oxygenation, Therapeutics, Infections, Oxygen Saturation