Estimating cardiac intensive care patients’ responsiveness to late conservative fluid management using systems analysis

摘要: Fluid overload is a common problem in critically ill patients who underwent surgery and accompanied by range of risks for severe organ damage. Therefore, stable excess water should be removed using fluid-restricting treatment strategies order to reach neutral fluid balance as early possible. Within this work, second discrete-time transfer function models were identified 10 selected cardiac staying at the intensive care unit least 5 days. For model estimation, cumulative intake time series used input output parameters. Each individual capable describing respective patient’s trajectory response actually applied therapy. In context decision support, systems analysis can therefore offer valuable tools not only an reaction certain therapy, but also identifying with rebalancing issues stage recovery. daily clinical practice, patient-specific predicting responsiveness planned medical interventions, improving regime focusing on avoidance further increasing returning patients’ balances acceptable level before release from unit.