This study estimated the relative vaccine effectiveness (rVE) of the MF59®-adjuvanted trivalent influenza vaccine (aTIV) versus standard-dose nonadjuvanted egg-based quadrivalent influenza vaccines (QIVe) for the prevention of influenza-related medical encounters (IRMEs), outpatient IRMEs, and influenza- and pneumonia-related hospitalizations during the 2019-2020 US influenza season among adults ≥65 years of age who had ≥1 high-risk condition. A secondary objective evaluated the rVE of aTIV versus QIVe in preventing these outcomes among older adults with specific high-risk conditions. This retrospective cohort study included US adults ≥65 years of age vaccinated with aTIV or QIVe between August 1, 2019, and January 31, 2020. Exposures, covariates, risk factors, and outcomes were captured from a linked dataset comprised of electronic health records (EHR) (Veradigm Network EHR) linked to insurance claims (Komodo Healthcare Map). A doubly robust approach was applied wherein multivariable-adjusted odds ratios were derived using inverse probability of treatment-weighted samples to calculate rVEs and 95 % confidence interval independently for individuals ≥1 high-risk condition and those with specific high-risk conditions. The study included 954,707 aTIV and 719,125 QIVe recipients. For all outcomes, aTIV was more effective than QIVe among adults ≥65 years of age who had ≥1 high-risk condition (any IMRE: 23.6 % [20.9 %-26.1 %]), outpatient IRME: 23.3 % [20.4 %-26.1 %], and influenza- or pneumonia-related hospitalizations: 19.0 % [16.3 %-21.6 %]), during the 2019-2020 influenza season. Similarly, aTIV was more effective than QIVe at preventing outcomes among individuals with specific high-risk conditions except for body mass index ≥40. This study demonstrated higher effectiveness of aTIV versus QIVe in preventing any IRMEs, outpatient IRMEs, and influenza- or pneumonia-related hospitalizations among adults ≥65 years of age who had ≥1 high-risk condition.
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http://dx.doi.org/10.1016/j.vaccine.2024.126316 | DOI Listing |
Clin Oral Investig
January 2025
Department of Behavioral and Community Dentistry, Institute of Odontology, Sahlgrenska Academy, University of Gothenburg, P.O. Box 450, Gothenburg, SE-40530, Sweden.
Objective: To investigate if changes in body mass index (BMI) result in changes of the mandibular trabecular bone structure.
Materials And Methods: Females (18-35 years at baseline, mean BMI 42,3) were followed from before (n = 117) until two years (n = 66) after obesity treatment (medical or surgical). The mandibular bone trabeculation was classified as sparse, dense, or mixed on intraoral radiographs (Lindh's index).
J Nephrol
January 2025
School of Life and Medical Sciences, University of Hertfordshire, College Lane Campus, Hatfield, UK.
Eur J Trauma Emerg Surg
January 2025
Department of Neurology, Haaglanden Medical Center, PO Box 432, 2501 CK, The Hague, The Netherlands.
Background And Importance: Traumatic intracranial hemorrhage (tICH) after mild traumatic brain injury (mTBI) is not uncommon in the elderly. Often, these patients are admitted to the hospital for observation. The necessity of admission in the absence of clinically important intracranial injuries is however unclear.
View Article and Find Full Text PDFCell Mol Biol (Noisy-le-grand)
January 2025
Laboratory of Plant Improvement and Valorization of Agro-resources, National School of Engineers of Sfax, University of Sfax, Sfax LR.16ES20, Tunisia.
Urinary tract infections (UTIs) are recognized as the second most common medical condition, following respiratory infections. Despite the availability of numerous efficacious antibiotics for the management of UTIs, the rising incidence of bacterial resistance presents significant challenges in the treatment of these infections. Bacteria are endowed with the ability to reproduce and develop resistance mechanisms against antibiotics.
View Article and Find Full Text PDFPsychooncology
January 2025
Department of Psychology, Maltepe University, İstanbul, Turkey.
Objective: In recent years, many studies have investigated the triggers, perpetuating factors, and outcomes of Fear of Cancer Recurrence (FCR), highlighting its complexity with multiple dimensions that encompass both antecedents and consequences. In this sense, the cognitive approach to FCR has explored variables such as metacognition, maladaptive coping strategies, and intolerance of uncertainty (IU). On the other hand, the findings of a restricted number of studies investigating the relationship between FCR and stated variables appear to be inconsistent.
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