Centre of Expertise Urban Vitality

Optimal Dosing and Timing of High-Dose Corticosteroid Therapy in Hospitalized Patients With COVID-19

Study Protocol for a Retrospective Observational Multicenter Study (SELECT)

Article

Background: In hospitalized patients with COVID-19, the dosing and timing of corticosteroids vary widely. Low-dose dexamethasone therapy reduces mortality in patients requiring respiratory support, but it remains unclear how to treat patients when this therapy fails. In critically ill patients, high-dose corticosteroids are often administered as salvage late in the disease course, whereas earlier administration may be more beneficial in preventing disease progression. Previous research has revealed that increased levels of various biomarkers are associated with mortality, and whole blood transcriptome sequencing has the ability to identify host factors predisposing to critical illness in patients with COVID-19. Objective: Our goal is to determine the most optimal dosing and timing of corticosteroid therapy and to provide a basis for personalized corticosteroid treatment regimens to reduce morbidity and mortality in hospitalized patients with COVID-19. Methods: This is a retrospective, observational, multicenter study that includes adult patients who were hospitalized due to COVID-19 in the Netherlands. We will use the differences in therapeutic strategies between hospitals (per protocol high-dose corticosteroids or not) over time to determine whether high-dose corticosteroids have an effect on the following outcome measures: mechanical ventilation or high-flow nasal cannula therapy, in-hospital mortality, and 28-day survival. We will also explore biomarker profiles in serum and bronchoalveolar lavage fluid and use whole blood transcriptome analysis to determine factors that influence the relationship between high-dose corticosteroids and outcome. Existing databases that contain routinely collected electronic data during ward and intensive care admissions, as well as existing biobanks, will be used. We will apply longitudinal modeling appropriate for each data structure to answer the research questions at hand. Results: As of April 2023, data have been collected for a total of 1500 patients, with data collection anticipated to be completed by December 2023. We expect the first results to be available in early 2024. Conclusions: This study protocol presents a strategy to investigate the effect of high-dose corticosteroids throughout the entire clinical course of hospitalized patients with COVID-19, from hospital admission to the ward or intensive care unit until hospital discharge. Moreover, our exploration of biomarker and gene expression profiles for targeted corticosteroid therapy represents a first step towards personalized COVID-19 corticosteroid treatment. Trial Registration: ClinicalTrials.gov NCT05403359; https://clinicaltrials.gov/ct2/show/NCT05403359. International Registered Report Identifier (IRRID): DERR1-10.2196/48183

Reference Daenen, K., Huijben, J. A., Boyd, A., Bos, L. D. J., Stoof, S. C. M., van Willigen, H., Gommers, D. A. M. P. J., Moeniralam, H. S., den Uil, C. A., Juffermans, N. P., Kant, M., Valkenburg, A. J., Pillay, J., van Meenen, D. M. P., Paulus, F., Schultz, M. J., Dalm, V. A. S. H., van Gorp, E. C. M., Schinkel, J., ... PRoVENT- and PRoAcT-COVID Collaborative Group (2023). Optimal Dosing and Timing of High-Dose Corticosteroid Therapy in Hospitalized Patients With COVID-19: Study Protocol for a Retrospective Observational Multicenter Study (SELECT). JMIR Research Protocols, 12(1), Article e48183. https://doi.org/10.2196/48183
Published by  Urban Vitality 1 January 2023

Publication date

Jan 2023

Author(s)

Katrijn Daenen
Jilske A Huijben
Anders Boyd
Lieuwe D J Bos
Sara C M Stoof
Hugo van Willigen
Diederik A M P J Gommers
Hazra S Moeniralam
Corstiaan A den Uil
Nicole P Juffermans
Merijn Kant
Abraham J Valkenburg
Janesh Pillay
David M P van Meenen
Frederique Paulus
Marcus J Schultz
Virgil A S H Dalm
Eric C M van Gorp
Janke Schinkel
Henrik Endeman
PRoVENT- and PRoAcT-COVID Collaborative Group
S Ahuja
E Aydeniz
R van der Horst
M Koopmans
PRoVENT- and PRoAcT-COVID Collaborative Group

Publications:

Research database