Intensive care medicine
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Intensive care medicine · Feb 2003
The ANZPIC registry diagnostic codes: a system for coding reasons for admitting children to intensive care.
To describe the uniform diagnostic coding system used in Australia and New Zealand to code reasons for admitting children to intensive care, and to highlight the benefits of a uniform approach. ⋯ The major advantage of the system is that units in the region use the same method of coding. A uniform international approach to coding reasons for admitting children to intensive care is needed.
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Intensive care medicine · Feb 2003
Lung computed tomography during a lung recruitment maneuver in patients with acute lung injury.
To assess the acute effect of a lung recruitment maneuver (LRM) on lung morphology in patients with acute lung injury (ALI) or acute respiratory distress syndrome (ARDS). ⋯ Lung recruitment maneuvers improve oxygenation by expanding collapsed alveoli without inducing too much hyperinflation in ALI/ARDS patients. An LRM during the CT scan gives morphologic and functional information that could be useful in setting ventilatory parameters.
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Intensive care medicine · Feb 2003
Estimation of regional lung volume changes by electrical impedance pressures tomography during a pressure-volume maneuver.
To assess the degree of linearity between lung volume and impedance change by electrical impedance tomography (EIT) in pigs with acute lung injury and to investigate regional impedance changes during a pressure-volume maneuver. ⋯ EIT and automated curve fitting provide information on regional lung inflation and deflation which may be of clinical use for optimizing ventilator settings.
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Intensive care medicine · Feb 2003
Multicenter Study Comparative StudyExternal validation of the SAPS II, APACHE II and APACHE III prognostic models in South England: a multicentre study.
External validation of three prognostic models in adult intensive care patients in South England. DESIGN. Prospective cohort study. ⋯ Disparity in case mix, a higher prevalence of outcome events and important unmeasured patient mix factors are possible sources for the decay of the models' predictive accuracy in our population. The lack of generalisability of standard prognostic models requires their validation and re-calibration before they can be applied with confidence to new populations. Customisation of existing models may become an important strategy to obtain authentic information on disease severity, which is a prerequisite for reliably measuring and comparing the quality and cost of intensive care.