Development of Algorithms to Predict Hemodynamic Instability

Overview

Hemodynamic monitoring in hospitalized patients is crucial since in clinical practice unexpected deterioration of cardiovascular function remains a serious problem and an important cause of death. Novel perspectives in reflex testing of the autonomic nervous system might be useful to protect some patients from cardiovascular events by detecting cardiovascular deteriorations. In addition, standard pulse oximetry in low acuity settings is nowadays predominately used to monitor peripheral oxygen saturation. Of note, there is evidence that additional analyses of pulse wave characteristics might be a valuable source of information to generate additional insights into the cardiorespiratory status of the patient. Herein, we aim to develop novel algorithms in order to protect in-hospital patients from cardiovascular events in consequence of hemodynamic instability in the future.

70 datasets from hospitalized patients will be acquired in order to characterize the functional status of the autonomic nervous system as well as hemodynamics during baseline and during standard procedures including physical exercise testing and head-up tilt table testing. Autonomic reflex testing: * Heart Rate Characteristics * Heart Rate Variability * Heart Rate Turbulence * Blood Pressure Variability * Baroreflex Sensitivity * Hyperoxic Chemoreflex Sensitivity Hemodynamic Monitoring: * Heart Rate Trends * Blood Pressure Trends * Pulse Wave Characteristics * Cardiac Output * Peripheral Vascular Resistance * Context information

Conditions

Eligibility