Background: Since the COVID-19 pandemic has placed more attention on drugs' approval process and the importance of rapid decision-making in the healthcare sector, it is crucial to assess how time to market (TTM) of drugs varied.
Objective: To estimate the impact of the COVID-19 pandemic on TTM of drugs in Italy.
Methods: An IQVIA database was used to retrieve information on drugs that obtained positive opinion from the Committee for Medicinal Products for Human Use between January 2015 and December 2021. The available observations were divided into three groups (Pre COVID, Partially COVID, and Fully COVID) according to the timing of their negotiation process. Differences in average TTM among the three groups were analyzed in three steps: (1) descriptive statistics; (2) univariate analysis; (3) multivariate analysis, using a matching estimator.
Results: A total of 363 unique combinations of molecule and indication met the inclusion criteria: 174 in the Pre COVID group, 69 in the Partially COVID group, and 123 in the Fully COVID group. Descriptive statistics and univariate analysis found a statistically significant difference in TTM among the three periods, with average TTM increasing during the pandemic (+136 days, p = 0.00) and then decreasing afterward (-23 days, p = 0.09). In the matching analysis, results for the Partially COVID period were confirmed (+108 days, p = 0.00) while results for the Fully COVID period lost significance but maintained a negative sign.
Conclusions: The results suggest that after an adjustment phase in the Partially COVID period, a return to the was reached.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10238912 | PMC |
http://dx.doi.org/10.33393/grhta.2023.2560 | DOI Listing |
Commun Biol
January 2025
Department of Medicine, Universite de Montreal, Montreal, QC, Canada.
Severe COVID-19 can trigger a cytokine storm, leading to acute respiratory distress syndrome (ARDS) with similarities to superantigen-induced toxic shock syndrome. An outstanding question is whether SARS-CoV-2 protein sequences can directly induce inflammatory responses. In this study, we identify a region in the SARS-CoV-2 S2 spike protein with sequence homology to bacterial super-antigens (termed P3).
View Article and Find Full Text PDFBMC Infect Dis
January 2025
Department of Critical Care Medicine, Second Affiliated Hospital of Harbin Medical University, Harbin, 150086, Heilongjiang Province, China.
Background: The rapid evolution of the COVID-19 pandemic and subsequent global immunization efforts have rendered early metabolomics studies potentially outdated, as they primarily involved non-exposed, non-vaccinated populations. This paper presents a predictive model developed from up-to-date metabolomics data integrated with clinical data to estimate early mortality risk in critically ill COVID-19 patients. Our study addresses the critical gap in current research by utilizing current patient samples, providing fresh insights into the pathophysiology of the disease in a partially immunized global population.
View Article and Find Full Text PDFEClinicalMedicine
January 2025
P95 Epidemiology and Pharmacovigilance, Koning Leopold III Laan 1, Leuven 3001, Belgium.
Background: Prior studies have reported lower effectiveness of XBB.1.5-adapted vaccines against hospitalization related to the Omicron JN.
View Article and Find Full Text PDFJ Am Chem Soc
December 2024
Department of Chemistry, Massachusetts Institute of Technology, 170 Albany Street, Cambridge, Massachusetts 02139, United States.
The SARS-CoV-2 E protein conducts cations across the cell membrane to cause pathogenicity to infected cells. The high-resolution structures of the E transmembrane domain (ETM) in the closed state at neutral pH and in the open state at acidic pH have been determined. However, the ion conduction mechanism remains elusive.
View Article and Find Full Text PDFbioRxiv
December 2024
Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029.
SARS coronavirus 2 (SARS-CoV-2) non-structural protein 14 (Nsp14) possesses an N-terminal exonuclease (ExoN) domain that provides a proofreading function for the viral RNA-dependent RNA polymerase and a C-terminal N7-methyltransferase (N7-MTase) domain that methylates viral mRNA caps. Nsp14 also modulates host functions. This includes the activation of NF-κB and downregulation of interferon alpha/beta receptor 1 (IFNAR1).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!