Latest Articles
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The term "fragility fractures of the pelvis" refers to the disruptions of the pelvic ring that are caused by low energy injuries (such as low-level falls or falls from the standing position) in the elderly population (age over 65 years) in the absence of metastatic bone disease. These fractures are increasing in numbers, due to the aging population, particularly in the developed countries, causing significant morbidity and mortality [1]. Although some fracture patterns are stable enough requiring only conservative treatment, other fracture types can cause significant pelvic instability, demanding a more insistent management protocol.
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Life cycle assessment is increasingly used in the healthcare sector to facilitate more environmentally informed supply and medication use. A thorough life cycle assessment comparing the carbon impacts of 10 different single-use anaesthetic drug trays yielded surprising findings. Although life cycle assessment can guide decision-making, results must be interpreted clinically and in light of all available options, including eliminating unnecessary consumption altogether. Effective life cycle assessment in healthcare that is clinically applicable requires expertise from both environmental scientists and clinicians.
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Accurate and timely diagnostic information is a vital adjunct to clinical assessment to inform therapeutic decision-making, including decisions to transfuse, or not transfuse, blood components. A prospective cohort study of diagnostic point-of-care (POC) haemoglobin measurements on arterial or central venous samples from adults undergoing major noncardiac surgery compared three widely used devices, HemoCue®, i-STAT™, and the Rad-67™ pulse CO-Oxymeter® finger sensor device, against standard laboratory haemoglobin measurements, but importantly not against a blood gas analyser. ⋯ However, results from the HemoCue® had the lowest likelihood to lead to inappropriate red cell transfusion. Clinicians should be aware of the patient, sample, and device factors that can influence the accuracy of POC haemoglobin testing results.
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Editorial Letter
NAP7: high mortality risk in neonates and very low risk in children.
Editor-We congratulate Lyne and colleagues1 on their initiative to explore and improve consent around perioperative mortality in children. Providing such data for families and clinicians is a key purpose of the Royal College of Anaesthetists' National Audit Projects (NAPs), and to this end, NAP7 studied perioperative cardiac arrest.2-4.
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Machine learning (ML) algorithms hold significant potential for extracting valuable clinical information from big data, surpassing the processing capabilities of the human brain. However, it would be naïve to believe that ML algorithms can consistently transform data into actionable insights. ⋯ Additionally, ML algorithms might not be necessary for analysing 'small data', such as a limited number of haemodynamic variables. In this respect, whether haemodynamic profiling with an ML algorithm offers advantages over straightforward classification tables or simple visual decision support tools remains unclear.