The importance of microbiology reference laboratories and adequate funding for infectious disease surveillance.

Microbiology reference laboratories perform a crucial role within public health systems. This role was especially evident during the COVID-19 pandemic. In this Viewpoint, we emphasise the importance of microbiology reference laboratories and highlight the types of digital data and expertise they provide, which benefit national and international public health.

Feasibility, safety and preliminary efficacy of telehealth-delivered group exercise for people with type 2 diabetes: A pilot trial.

Introduction: Several barriers can preclude people with type 2 diabetes (T2D) from in-person exercise session participation. Telehealth may be an alternative mode of service delivery to increase uptake. We evaluated the feasibility, safety and preliminary efficacy of delivering group exercise via telehealth for people with T2D.

Point-of-care procalcitonin trends in suspected neonatal late-onset infection: a prospective observational study.

Background: Procalcitonin-guided antimicrobial decision-making has been shown to be safe in adult intensive care settings. Most antimicrobial exposure in neonatal units is in culture-negative conditions. We hypothesise that Procalcitonin aids antimicrobial stewardship efforts in suspected Late-Onset Neonatal Sepsis.

Beyond the incubator: applying a "one health" approach in the NICU.

A "one health" approach recognises that human health, animal health and planetary health are closely interlinked and that a transdisciplinary approach is required to fully understand and maintain global health. While, by necessity, Neonatal Intensive Care has traditionally focused on the acutely unwell newborn, the avoidance of long-term harm is core to many management decisions. The COVID 19 pandemic and climate crisis have brought into sharp relief the importance of a "one health" approach as part of long-term health promotion in the holistic care of neonates, who may survive to experience the burden of future environmental crises.

Predicting community acquired bloodstream infection in infants using full blood count parameters and C-reactive protein; a machine learning study.

Early recognition of bloodstream infection (BSI) in infants can be difficult, as symptoms may be non-specific, and culture can take up to 48 h. As a result, many infants receive unneeded antibiotic treatment while awaiting the culture results. In this study, we aimed to develop a model that can reliably identify infants who do not have positive blood cultures (and, by extension, BSI) based on the full blood count (FBC) and C-reactive protein (CRP) values.