Abstract: A system includes a processor comprising a multivariate predictive model. The multivariate predictive model can be configured to classify responses of a plurality of subjects to a stimulus, predict at least one of a response or an intervention of a target subject to the stimulus based on the classified responses, and adjust a tissue metabolic adequacy of the target subject based on at least one of the predicted response or the predicted intervention of the target subject. The stimulus can include a physical stress, a disease-related stress, a severity of stress, a severity of insult, an external environment condition, or combinations thereof. The tissue metabolic adequacy can be calculated based on a vasomotor tone, a ventricular pump function, an effective circulatory volume, or combinations thereof.

Abstract: Devices and methods for multi-parameter hemodynamic monitoring are provided. Determining a cardiac output of a patient using a cuff device includes measuring a cuff pressure waveform of a subject during inflation and/or deflation of the cuff device, computing systolic and diastolic blood pressure from the cuff pressure waveform using the cuff device, constructing a blood pressure waveform from the systolic and diastolic blood pressure and cuff pressure waveform using the cuff device, computing brachial artery compliance from the cuff pressure waveform, and computing the cardiac output from the blood pressure waveform and/or brachial artery compliance using the cuff device.

Abstract: A system and method for determining a patient's susceptibility to develop cardiorespiratory instability wherein physiological parameters are analyzed with respect to a dynamics systems model to produce and indicator associated with a probability that the patient will become unstable is provided.

Abstract: A system and method for determining a patient's susceptibility to develop cardiorespiratory instability wherein physiological parameters are analyzed with respect to a dynamics systems model to produce and indicator associated with a probability that the patient will become unstable is provided.

Abstract: A treatment algorithm for managing hemodynamically unstable patients is provided. Specifically, measurements of arterial pressure and stroke volume can be used to calculate pulse pressure variation, stroke volume variation, mean arterial pressure, elastance and cardiac power, the values of which guide treatment decisions and allow optimal management of critically ill patients. In an additional embodiment, a computer system implementing the treatment algorithm is provided.

Abstract: A treatment algorithm for managing hemodynamically unstable patients is provided. Specifically, measurements of arterial pressure and stroke volume can be used to calculate pulse pressure variation, stroke volume variation, mean arterial pressure, elastance and cardiac power, the values of which guide treatment decisions and allow optimal management of critically ill patients. In an additional embodiment, a computer system implementing the treatment algorithm is provided.