Anaesthesia
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We analysed the association of independent variables with non-verbal cognition at 6 years in children with complete data (3441 from a cohort of 9901), of whom 415 were anaesthetised before the age of 5 years. Using multivariable regression, cognition was reduced by a mean (95% CI) score for children: anaesthetised before the age of 5 years, 2.1 (0.7-3.5), p = 0.004; born prematurely, 9.8 (4.1-15.4), p = 0.001; whose mothers smoked while pregnant, 2.3 (0.8-3.8), p = 0.004; whose mothers had lower IQ scores, 0.3 (0.2-0.3) for each unit reduction in maternal IQ, p < 0.0001. The association of child IQ with exposure to anaesthetic drugs was sensitive to missing data.
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In this article we will look at some of the principles in processed EEG monitoring as applied to bispectral index (BIS). We outline why BIS should be regarded as a 'memory' monitor which in most circumstances reflects the depth of sedation or anaesthesia in particular patients. Its limitation in paralysed and non-paralysed patients must be understood in order for this monitor to be used safely. Finally, its emerging use in critical care will be explored.
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A significant amount of anaesthetists' work involves the prediction of drug effects and interactions to produce a smooth general anaesthetic that minimises drug side effects and promotes rapid emergence. Successfully managing this process requires a basic understanding of drug effects, experience and inevitably some guesswork, since it is difficult (and in some cases impossible) to anticipate all relevant patient and surgical factors. Although data are generally available to allow calculation of plasma drug and effect site concentrations, this is often difficult to apply in complex clinical contexts, particularly when multiple drug types are used. ⋯ Examples are used to illustrate how such systems can be used in practice, and how drug effects and interactions can be simulated to "rehearse" an anaesthetic before any drugs are actually administered. At present only a small number of anaesthetic workstations use this technology, and as yet they are not able to manage all drugs used in anaesthetic practice. However, such systems have the potential to help anaesthetists manage the complexity of their work, and to provide information on predicted drug effects in a way that is useful and relevant to both experienced anaesthetists and trainees.