Background: Influenza infection has been associated with increased risk of adverse cardiac and cerebral vascular outcomes. Oseltamivir, a treatment for influenza, has been shown to decrease the severity of an influenza episode, but few data exist regarding its potentially protective effect against recurrent vascular outcomes among influenza patients with a history of vascular disease.
Methods And Results: Electronic healthcare service and pharmacy records for 37,482 TRICARE beneficiaries, aged 18 and older, with a coded history of cardiovascular (CV) disease and a subsequent diagnosis of influenza from October 1, 2003, through September 30, 2007, were examined. Subjects were grouped according to whether they had filled a prescription for oseltamivir within 2 days of their influenza diagnosis. The incidence of recurrent CV events within 30 days after the influenza diagnosis among oseltavmivir-treated and untreated subjects was 8.5% and 21.2%, respectively (P<0.005). Subject age was a persistent and significant contributor to the likelihood of recurrent CV outcomes. After controlling for the differences in demographics among treated and untreated cohorts using a propensity-scored logistic regression model, a statistically significant protective effect was associated with oseltamivir treatment (odds ratio, 0.417; 95% CI, 0.349 to 0.498).
Conclusions: Our findings suggests that oseltamivir treatment for influenza is associated with significant decrease in the risk of recurrent CV events in subjects with a history of CV disease. These findings merit confirmation in further prospective and controlled studies. Meanwhile, in patients with CV disease, strict adherence with current practice guidelines for prevention and treatment of influenza is recommended.
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http://dx.doi.org/10.1161/CIRCOUTCOMES.108.820357 | DOI Listing |
J Inflamm Res
January 2025
Department of Pharmacology, School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, People's Republic of China.
Background: Chronic kidney disease (CKD) is a progressive condition that arises from diverse etiological factors, resulting in structural alterations and functional impairment of the kidneys. We aimed to establish the Anoikis-related gene signature in CKD by bioinformatics analysis.
Methods: We retrieved 3 datasets from the Gene Expression Omnibus (GEO) database to obtain differentially expressed genes (DEGs), followed by Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) of them, which were intersected with Anoikis-related genes (ARGs) to derive Anoikis-related differentially expressed genes (ARDEGs).
China CDC Wkly
January 2025
Fujian Provincial Center for Disease Control and Prevention, Fujian Provincial Key Laboratory of Zoonosis Research, Fuzhou City, Fujian Province, China.
What Is Known About This Topic?: Global human cases of zoonotic influenza A(H5N6) have increased significantly in recent years, primarily due to widespread circulation of clade 2.3.4.
View Article and Find Full Text PDFPNAS Nexus
January 2025
Institute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland.
Here, we present Link-Seq, a highly efficient droplet microfluidic method for combined sequencing of antibody-encoding genes and the transcriptome of individual B cells at large scale. The method is based on 3' barcoding of the transcriptome and subsequent single-molecule PCR in droplets, which freely shift the barcode along specific gene regions, such as the antibody heavy- and light-chain genes. Using the immune repertoire of COVID-19 patients and healthy donors as a model system, we obtain up to 91.
View Article and Find Full Text PDFJ Asthma Allergy
January 2025
Department of Thoracic Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan.
Background: Non-pharmaceutical interventions (NPIs) were widely used during the coronavirus disease 2019 (COVID-19) pandemic, however their impact on acute asthma exacerbations (AEs) is not well studied.
Methods: We had retrospectively collected patients with asthma AEs between 2019 and 2020 and retrieved data from the Chang Gung Research Database, including clinical manifestations, medications, pulmonary function, clinic and emergency department visits and hospitalizations.
Results: A total of 39,108 adult patients with asthma were enrolled, of whom 1502 were eligible for analysis.
Electronic health records (EHRs) contain rich temporal data about infectious diseases, but an optimal approach to identify infections remains undefined. Using the Research Program, we developed computable phenotypes for respiratory viruses by integrating billing codes, prescriptions, and laboratory results within 90-day episodes. Phenotypes computed from 265,222 participants yielded cohorts ranging from 238 (adenovirus) to 28,729 (SARS-CoV-2) cases.
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