Summary A Patient Blood Management programme was established at the University Hospital of Zurich, along with a monitoring and feedback programme, at the beginning of 2014 with a first analysis reported in 2015. Our study aimed to investigate the further impact of this Patient Blood Management monitoring and feedback programme on transfusion requirements and related costs. We included adult patients discharged between 2012 and 2017. A total of 213,882 patients underwent analysis: 66,659 patients in the baseline period (2012–2013); 35,309 patients in the year after the introduction of the Patient Blood Management monitoring and feedback programme (2014) and 111,914 patients in the continued sustainability period (2015–2017). The introduction of the Patient Blood Management monitoring and feedback programme reduced allogeneic blood product transfusions by 35%, from 825 units per 1000 hospital discharges in 2012 to 536 units in 2017. The most sustained effect was an approximately 40% reduction in red blood cell transfusions, from 535 per 1000 discharges to 319 units. Fewer patients were transfused in the periods after the introduction of the Patient Blood Management monitoring and feedback programme (6251 (9.4%) vs. 2932 (8.3%) vs. 8196 (7.3%); p < 0.001). Compared with 2012, the yearly OR for being exposed to any blood transfusion declined steadily after the introduction of the Patient Blood Management monitoring and feedback programme to 0.64 (95%CI 0.61–0.68; p < 0.001) in 2017. For patients requiring extracorporeal membrane oxygenation, transfusion requirements were also sustainably reduced. This reduction in allogeneic blood transfusions led to savings of 12,713,754 Swiss francs (£ 9,497,000 sterling; EUR 11,100,000; US$ 12,440,000) in blood product acquisition costs over 4 years. In‐hospital mortality was not affected by the programme. The Patient Blood Management monitoring and feedback programme sustainably reduced transfusion requirements and related costs, without affecting in‐hospital mortality.

Independent determinants of long-term survival of pediatric resuscitation are location of arrest, underlying cause, and duration of CPR. Long-term survivors have little or no change in neurological status.

SummaryWe compared three different tracheal wall pressure measuring techniques in vitro. Using a highvolume, low-pressure, cuffed tracheal tube with an internal diameter of 7.5 mm and a model trachea, the pressure difference technique, the wall pressure membrane technique and the microchip sensor probe technique with and without lubrication were studied. Wall pressures were measured after sequential injections of 0.5 ml of air into the cuff at cuff pressures ranging from 0 to 50 mmHg. The coefficient of variance was largest for the microchip sensor probe technique with lubrication (29%) and without lubrication (214%), and was lower for the wall pressure membrane technique (22%) and the pressure difference technique (19%). The wall pressure membrane and pressure difference techniques provided comparable results. The microchip sensor probe technique considerably underestimated wall pressure. These findings have an impact on the interpretation of published data on tracheal or pharyngeal wall pressure using the microchip sensor probe technique.

Introduction Bacterial infection represents a serious risk in neonates and critically ill paediatric patients. Current clinical practice is characterized by frequent antibiotic treatment despite low incidence of true infection. However, some patients escape early diagnosis and progress to septic shock. Many new markers, including cytokines, have been suggested to improve decision making, but the clinical efficacy of these techniques remains uncertain. Therefore, we will test the clinical efficacy of a previously validated diagnostic strategy to reduce antibiotic usage and nosocomial infection related morbidity. Methods All patients admitted to the multidisciplinary neonatal and paediatric intensive care unit of a university children's hospital will be included. Patients will be allocated either to routine sepsis work up or to the intervention strategy with additional cytokine measurements. Physicians will be requested to estimate the pre-test probability of sepsis and pneumonia at initial suspicion. In the treatment arm, physicians will receive raw cytokine results, the likelihood ratio and the updated post-test probability. A high post-test probability will suggest that immediate initiation of antibiotic treatment is appropriate, whereas a low post-test probability will be supportive of watchful waiting or discontinuing prophylactic empirical therapy. Physicians may overrule the suggestions resulting from the post-test probability. Conclusion This trial will ascertain the clinical efficacy of introducing new diagnostic strategies consisting of pre-test probability estimate, novel laboratory markers, and computer-generated post-test probability in infectious disease work up in critically ill newborns and children.