The Influence of Audiovisual Distraction on Pain Reduction During Transcatheter Aortic Valve Implantation Under Monitored Anesthesia Care: A Prospective Randomized Trial.

OBJECTIVES: To investigate the effect of an audiovisual distraction system on the dose of remifentanil for perioperative sedation during transcatheter aortic valve implantation under monitored anesthesia care. DESIGN: Single-center prospective randomized nonblinded study. SETTING: Tertiary referral academic hospital. PARTICIPANTS: Ninety patients who underwent transfemoral transcatheter aortic valve implantation between July 2019 and July 2021. INTERVENTIONS: Patients were randomized to use either a novel audiovisual distraction system during the intervention (n = 45) or standard care without an audiovisual distraction system (n = 45). MEASUREMENTS AND MAIN RESULTS: Standardized questionnaires were given to each patient at admission and before and after the intervention to assess their levels of anxiety. Primary endpoints were the average and peak infusion rates of remifentanil. All patients were considered for the final analysis according to an intention-to-treat design. No relevant differences in pre- and postinterventional anxiety status were observed between the groups. Similarly, there were no significant differences in reported pain scores (p = 0.364). The average infusion rate (p = 0.028) and peak infusion rate (p = 0.025) of remifentanil were lower in the group with an audiovisual distraction system. CONCLUSIONS: Audiovisual distraction is a useful adjunct to reduce the dose of remifentanil under monitored anesthesia care during transcatheter aortic valve implantation. Larger studies are needed to evaluate potential positive effects on patient satisfaction, incidence of delirium, and possible economic benefits.

Aortic Frequency Response Determination via Bioimpedance Plethysmography.

OBJECTIVE: Arterial stiffness is an important marker to predict cardiovascular events. Common measurement techniques to determine the condition of the aorta are limited to the acquisition of the arterial pulse wave at the extremities. The goal of this paper is to enable non-invasive measurements of the aortic pulse wave velocity, instead. An additional aim is to extract further information, related to the conditions of the aorta, from the pulse wave signal instead of only its velocity. METHODS: After discussing the problems of common pulse wave analysis procedures, an approach to determine the frequency response of the aorta is presented. Therefore, the aorta is modeled as an electrical equivalent circuit. To determine the specific numeric values of this system, a measurement approach is presented, which is based on non-invasive bioimpedance plethysmography measurements above the aortic arch and at the inguinal region. The conversion of the measurement results to the system parameters is realized by a digital algorithm, which is proposed in this paper as well. To evaluate the approach, a study on three subjects is performed. RESULTS: The measurement results demonstrate that the proposed approach yields realistic frequency responses. For better approximation of the aortic system function, more complex models are recommended to investigate in the future. Since this paper is limited to three subjects without a ground truth, further measurements will be necessary. SIGNIFICANCE: The proposed approach could solve the problems of current methods to determine the condition of the aorta. Its application is non-invasive, harmless, and easy to execute.

A Multichannel Real-Time Bioimpedance Measurement Device for Pulse Wave Analysis.

Pulse wave analysis is an important method used to gather information about the cardiovascular system. Instead of detecting the pulse wave via pressure sensors, bioimpedance measurements can be performed to acquire minuscule changes in the conductivity of the tissue, caused by the pulse wave. This work presents a microcontroller-based bioimpedance measurement system, which has the capability to acquire impedance measurements from up to four independent channels simultaneously. By combining a problem-specific analog measurement circuit with a 24 bits analog-to-digital converter, the system is capable of acquiring 1000 impedances per second with a signal-to-noise ratio in a range from 92 to 96 dB. For data storage and analysis, the digitized data are sent via universal serial bus to a host PC. A graphical user interface filters and plots the data of all channels in real-time. The performance of the system regarding measuring constant impedances, as well as impedance changes over time is demonstrated. Two different applications for pulse wave analysis via multichannel bioimpedance measurements are presented. Additionally, first measurement results from a human subject are shown to demonstrate the system's applicability of analyzing the pulse wave morphology as well as the aortic pulse wave velocity.