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This observational study investigates the validity and utility of a new, non-significant risk, FDA approved respiratory monitor, ExSpiron, in the perioperative course of patients undergoing elective surgery under general anesthesia. The study patients will be monitored before, during and after surgery, in post-anaesthesia care unit (PACU) and recovery room for the first post-operative night. The physiologic data will not be used or influence the standard of care for subjects. It is anticipated that this monitor may be able to improve perioperative care in the future.
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Aim and Hypotheses Currently, there is no objective measure of early respiratory indicators for developing respiratory compromise in surgical patients. Current respiratory assessment in non-intubated patients relies on oximetry data and subjective clinical assessment. Pulse oximetry has been extremely helpful in recognizing oxygen desaturations but it is a late indicator of respiratory decline. New advances in technology and digital signal processing have led to the development of an impedance based Respiratory Volume Monitor (RVM). The RVM (ExSpiron™, Respiratory Motion, Inc.; Waltham, MA) has been shown to provide accurate real-time, continuous, non-invasive measurements of tidal volume (TV), minute ventilation (MV) and respiratory rate (RR) in general patient population.
Hypotheses
Primary:
Low minute ventilation (LMV) defined as sustained LMV<40% minute ventilation predicted (MVPRED) based on IBW following opioid administration correlates with adverse clinical outcomes in PACU or on the floor including:
Secondary:
Rationale Continuous respiratory monitoring using the ExSpiron System will be particularly beneficial to patients in the post-anesthesia environment. Assessment and management of respiratory function and early intervention when indicated is a multifaceted, complex task often complicated by the lack of a cohesive and continuous monitoring system to guide clinical decisions. The ExSpiron system is designed for these patients and is intended to address some of the limitations of the current generation of hospital monitors and to provide healthcare providers with continuous real-time data regarding the patient's respiratory status. Recent data has shown that stratification of patients based on the RVM's MV as % of predicted MV (MVPRED), prior to opioid dosing has made it possible to identify patients who are at risk for further decreases in MV and opioid-induced respiratory depression (OIRD).
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Data sourced from clinicaltrials.gov
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