One of the significant challenges in the care of critically ill patients in the intensive care unit is the assessment of hemodynamically unstable patients (shock states). The treating team uses data such as heart rate, arterial blood pressure, physical examination findings, etc. to assess the patient's cardiac output, peripheral vascular resistance, filling pressures and volumes, and vascular tone. These assessments are essential to assess the cause of shock (cardiac cause, hypovolemia, sepsis, etc.), but in many situations they are not easy to perform and require extensive knowledge and experience. Assessing the hemodynamic status of a critically ill patient based on dynamic mechanical models may be a good option for more accurate assessment of complex patients. Such a model is, for example, the iCVS model: it is a relatively simple, mechanical-dynamic model that can be used to understand complex cardiovascular conditions. This model requires only age and weight as initial data, and as dynamic data the model requires only an arterial blood pressure (AR) curve and a central venous pressure (CVP) curve. The model is based on the shape of the above curves for the purpose of analyzing the cardiovascular status of the patient. The model is suitable for both adults and children, although most of the work to date has been among pediatric intensive care patients.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Optimization and validation of the ICVS model
Timeframe: 1 year