19 research outputs found
The relationship between intra-operative entropy of the EEG and non-depolarizing neuromuscular blockade: A descriptive study
Sustainable veterinary anaesthesia: single centre audit of oxygen and inhaled anaesthetic consumption and comparisons to a hypothetical model
Interference with the Datex Normac anaesthetic agent monitor for halothane in horses and sheep
A New Device for Intraoperative Renal Blood Flow Measurement During Open-Heart Surgery: An Experimental Study and the Clinical Pilot Study
An Audit of Level Two and Level Three Checks of Anaesthesia Delivery Systems Performed at Three Hospitals in South Australia
The challenge of developing a new predictive formula to estimate energy requirements in ventilated critically ill children.
Traditionally, energy requirements have been calculated using predictive equations. These methods have failed to calculate energy expenditure accurately. Routine indirect calorimetry has been suggested, but this method is technically demanding and costly. This study aimed to develop a new predictive equation to estimate energy requirements for critically ill children. This prospective, observational study on ventilated children included patients with an endotracheal tube leak of 0.8 were developed. When we compared the new formulas with commonly used equations (Schofield, Food and Agriculture Organization/World Health Organization/United Nations University, and White equation), all formulas performed very similar, but the Schofield equation seemed to have the lowest SD. All 3 new pediatric intensive care unit equations have R values of > 0.8; however, the Schofield equation still performed better than other predictive methods in predicting energy expenditure in these patients. Still, none of the predictive equations, including the new equations, predicted energy expenditure within a clinically accepted range, and further research is required, particularly for patients outside the technical scope of indirect calorimetry