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To evaluate the associations between complex hip surgery and subsequent hospitalizations in children with intellectual disability, including a subset of children with cerebral palsy.
Peter Richmond MBBS MRCP(UK) FRACP Head, Vaccine Trials Group Head, Vaccine Trials Group Professor Peter Richmond is Head of the Vaccine Trials Group
Recent interest in the diverse ecosystem of bacteria, fungi, parasites, and viruses that make up the skin microbiome has led to several studies investigating the microbiome in healthy skin and in a variety of dermatological conditions.
Skin conditions most frequently encountered in paediatric practice include infections, infestations, atopic dermatitis, and acne. Skin of colour refers to skin with increased melanin and darker pigmentation, and reflects global racial and ethnic diversity.
The present study aims to investigate the association between an early history of recurrent otitis media (OM) with or without ventilation tube insertion and later behavioural problems in childhood and adolescence.
Rheumatic heart disease (RHD) is the most common form of acquired heart disease worldwide. In RHD, volume loading from mitral regurgitation leads to left ventricular (LV) dilatation, increased wall stress, and ultimately LV dysfunction. Improved understanding of LV dynamics may contribute to refined timing of intervention.
This phase III study evaluated safety, tolerability, and immunogenicity of V114 (15-valent pneumococcal conjugate vaccine) in healthy infants. V114 contains all 13 serotypes in PCV13 and additional serotypes 22F and 33F.
Pneumonia remains a leading cause of hospitalization and death among young children worldwide, and the diagnostic challenge of differentiating bacterial from non-bacterial pneumonia is the main driver of antibiotic use for treating pneumonia in children. Causal Bayesian networks (BNs) serve as powerful tools for this problem as they provide clear maps of probabilistic relationships between variables and produce results in an explainable way by incorporating both domain expert knowledge and numerical data.
COVID-19 is a new multi-organ disease causing considerable worldwide morbidity and mortality. While many recognized pathophysiological mechanisms are involved, their exact causal relationships remain opaque. Better understanding is needed for predicting their progression, targeting therapeutic approaches, and improving patient outcomes. While many mathematical causal models describe COVID-19 epidemiology, none have described its pathophysiology.
The need for coronavirus 2019 (COVID-19) vaccination in different age groups and populations is a subject of great uncertainty and an ongoing global debate. Critical knowledge gaps regarding COVID-19 vaccination include the duration of protection offered by different priming and booster vaccination regimens in different populations, including homologous or heterologous schedules.