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The future of paediatric obstructive sleep apnoea assessment: Integrating artificial intelligence, biomarkers, and more

Assessing obstructive sleep apnoea in children involves various methodologies, including sleep studies, nocturnal oximetry, and clinical evaluations. Previous literature has extensively discussed these traditional methods. 

Airborne personal protective equipment availability and preparedness in Australian and New Zealand intensive care units: A point prevalence survey

Personal protective equipment is essential to protect healthcare workers when exposed to aerosol-generating procedures in patients with airborne respiratory pathogens.

Understanding wellbeing from the perspective of youth with chronic conditions: A group concept mapping approach

Promoting wellbeing for youth is a global health priority and young people with chronic conditions demonstrate disproportionately low wellbeing compared to their peers. However, wellbeing is variably defined, and little is understood as to what wellbeing means for this population. The aim of this study was to develop a conceptualisation of wellbeing that is rooted in the perspectives of young people with chronic conditions. 

Session Rating of Perceived Exertion Is a Valid Method to Monitor Intensity of Exercise in Adults with Acute Burn Injuries

Measuring exercise intensity for safety and to inform prescription in acute burn survivors, is challenging. This study aimed to assess the validity of adult patient end-of-workout rating of session perceived exertion (sRPE); and calculated training load (TL) (sRPE × session duration) as measures of exercise intensity. Secondly, the study aimed to compare clinician and patient perception of exercise effort during physiotherapist-led sessions.

Empowering quality education through sustainable and equitable electricity access in African schools

Although most people born this century will be educated in African schools, these schools often lack basic infrastructure, such as electricity and/or lighting. In the face of a rapidly growing school-age population in Africa, the electrification of educational facilities is not just an infrastructural challenge but also a pivotal investment in the continent’s future workforce.

Machine learning techniques to predict diabetic ketoacidosis and HbA1c above 7% among individuals with type 1 diabetes — A large multi-centre study in Australia and New Zealand

Type 1 diabetes and diabetic ketoacidosis (DKA) have a significant impact on individuals and society across a wide spectrum. Our objective was to utilize machine learning techniques to predict DKA and HbA1c>7 %.

Participation in population-based case-control studies: does the observed decline vary by socio-economic status?

Participation in population-based case-control studies: does the observed decline vary by socio-economic status?

Does self-esteem mediate the relationship between interpersonal problems and symptoms of disordered eating?

It has been proposed that interpersonal problems play a role in the maintenance of disordered eating because of an adverse effect on self-esteem, which in...

Interactions between acute lymphoblastic leukemia and bone marrow stromal cells influence response to therapy

The cure rate for pediatric patients with B precursor acute lymphoblastic leukemia (pre-B ALL) is steadily improving, however relapses do occur despite...