Publications by authors named "A J Britton"

During 2023, the Centers for Disease Control and Prevention (CDC) recommended the first respiratory syncytial virus (RSV) immunizations intended for widespread use in the United States to prevent severe RSV illness in infants and older adults. CDC, in collaboration with federal, public health, and academic partners, is conducting evaluations of real-world effectiveness of recommended RSV immunization products in the United States. Similar frameworks for evaluation are being applied to RSV vaccines and nirsevimab, a long-acting preventative monoclonal antibody, to estimate product effectiveness.

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The extent to which semi-quantitative antibody levels confer protection against SARS-CoV-2 infection in populations with heterogenous immune histories is unclear. Two nested case-control studies were designed within the multisite HEROES/RECOVER prospective cohort of frontline workers to study the relationship between antibody levels and protection against first-time post-vaccination infection and reinfection with SARS-CoV-2 from December 2021 to January 2023. All participants submitted weekly nasal swabs for rRT-PCR testing and blood samples quarterly and following infection or vaccination.

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Article Synopsis
  • A study was conducted from September 2022 to April 2023 to evaluate how COVID-19 vaccines affect the risk of infection in children under 5 years old.
  • The results showed no significant difference in infection risk between vaccinated and unvaccinated children.
  • Although the vaccines are effective in preventing severe illness, they may not prevent the actual infection of the virus in young kids.
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Background: Autonomic dysfunction is common in dementia, yet its contribution to neurocognitive changes remains unknown. We investigated whether midlife cardiac vagal modulation, indexed by heart rate variability, associates with subsequent cognitive decline in adults without prior coronary heart disease or stroke.

Methods: The sample comprised 2702 (1924 men) individuals initially aged 44-69 years from the UK Whitehall II cohort.

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Article Synopsis
  • The study explores the use of advanced neural network-derived ECG features to predict cardiovascular disease and mortality, aiming to uncover subtle, important indicators that traditional methods might miss.
  • Using data from over 1.8 million patients and various international cohorts, researchers identified three distinct phenogroups, with one, phenogroup B, showing a significantly higher mortality risk—20% more than phenogroup A.
  • The findings suggest that neural network ECG features not only indicate future health risks like atrial fibrillation and ischemic heart disease but also highlight specific genetic loci that may contribute to these risks.
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