Coronavirus disease 2019 (COVID-19) continues to cause morbidity and mortality worldwide; therefore, effective treatments remain crucial to controlling it. As interferon-alpha (IFN-α) and -beta (β) have been proposed as COVID-19 treatments, we sought to assess their effectiveness on respiratory, cardiovascular, neurological, and psychiatric signs and symptoms, as well as PASC and death, in hospitalized COVID-19 patients without multiple sclerosis (MS). Using a federated data research network (TriNetX), we performed a retrospective cohort study of hospitalized COVID-19 patients without MS who received IFN-α or -β treatment, comparing them to a similar cohort who did not receive treatment. Following propensity-score matched analyses, we demonstrate that hospitalized COVID-19 patients who were treated with IFN-α or -β had significantly higher odds of death. In contrast, there was no significant difference in any other outcomes between 1-30 days or 1 day to anytime afterward. Overall, hospitalized COVID-19 patients without MS who were treated with IFN-α or -β had similar short- and long-term sequelae (except for mortality) as those who did not receive treatment. The potential benefits of utilizing IFN-α or -β treatment as therapeutics remain to be realized, and our research highlights the need to explore repurposing drugs for COVID-19 using real-world evidence.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11280121PMC
http://dx.doi.org/10.3390/pathogens13070539DOI Listing

Publication Analysis

Top Keywords

hospitalized covid-19
20
covid-19 patients
20
ifn-α -β
16
covid-19
8
retrospective cohort
8
cohort study
8
-β treatment
8
receive treatment
8
patients treated
8
treated ifn-α
8

Similar Publications

Ten-Year Trends in Last Known Well to Arrival Time in Acute Ischemic Stroke Patients: 2014 to 2023.

Stroke

January 2025

Northwell Health, New Hyde Park, NY (N.G.F., M.X.S., J.O.H., S.R.F., J.J.W., J.M.K., P.C.S.).

Background: Many national initiatives focus on promoting early hospital arrival of patients with acute ischemic stroke (AIS) because treatment effectiveness is time-dependent. However, several studies reported time-delays in hospital arrival, especially during the COVID-19 pandemic. Our purpose was to evaluate the 10-year trends in last known well to arrival (LKWA) time and assess disparities in patients with AIS.

View Article and Find Full Text PDF

Evolution of artificial intelligence in healthcare: a 30-year bibliometric study.

Front Med (Lausanne)

January 2025

Department of Cardiology, Heart Center, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

Introduction: In recent years, the development of artificial intelligence (AI) technologies, including machine learning, deep learning, and large language models, has significantly supported clinical work. Concurrently, the integration of artificial intelligence with the medical field has garnered increasing attention from medical experts. This study undertakes a dynamic and longitudinal bibliometric analysis of AI publications within the healthcare sector over the past three decades to investigate the current status and trends of the fusion between medicine and artificial intelligence.

View Article and Find Full Text PDF

Health-Related Quality of Life in Long COVID: Mapping the Condition-Specific C19-YRSm Measure Onto the EQ-5D-5L.

Patient Relat Outcome Meas

January 2025

Academic Department of Rehabilitation Medicine, Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.

Background: Long COVID (LC) is a clinical syndrome with persistent, fluctuating symptoms subsequent to COVID-19 infection. LC has significant detrimental effects on health-related quality of life (HRQoL), activities of daily living (ADL), and work productivity. Condition-specific patient-reported outcome measures (PROMs), such as the modified COVID-19 Yorkshire Rehabilitation Scale (C19-YRSm) do not provide the health utility data required for cost-utility analyses of LC interventions.

View Article and Find Full Text PDF

Objective: To develop a tele-intensive care service providing peer-to-peer teleconsultation for physicians in remote and resource-constrained health-care settings for treatment of critically ill patients, and to evaluate the outcomes of the service.

Methods: The Aga Khan University started the coronavirus disease 2019 (COVID-19) tele-intensive care unit in 2020. A central command centre used two-way audiovisual technology to connect experienced intensive care specialists to clinical teams in remote hospital settings.

View Article and Find Full Text PDF

Currently, the trials found that the clinical efficacy of molnupiravir is lower than ritonavir-boosted nirmatrelvir. An explanation for these different efficacies in clinical treatments is still limited. The analysis method was developed and validated to simultaneously quantify nirmatrelvir, ritonavir, and beta-D-N4-hydroxycytidine (NHC) in human plasma and bronchoalveolar lavage fluid (BALF) by electrospray ionization mass spectrometry.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!