Articles: opioid.
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J Clin Monit Comput · Oct 2023
Deep learning classification of capnography waveforms: secondary analysis of the PRODIGY study.
Capnography monitors trigger high priority 'no breath' alarms when CO2 measurements do not exceed a given threshold over a specified time-period. False alarms occur when the underlying breathing pattern is stable, but the alarm is triggered when the CO2 value reduces even slightly below the threshold. True 'no breath' events can be falsely classified as breathing if waveform artifact causes an aberrant spike in CO2 values above the threshold. ⋯ The neural network's accuracy was 0.97, precision was 0.97 and recall was 0.96. Performance was consistent across hospitals in internal-external validation. The neural network could reduce false capnography alarms. Further research is needed to compare the frequency of alarms derived from the neural network with the standard approach.
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Overdose fatalities are increasingly attributed to synthetic opioids, including fentanyl, which may be added to samples of illicit substances unknowingly to the user. As recently as April 2023, the Centers for Disease Control and Prevention has also raised awareness of the risks of xylazine, an animal tranquilizer that has been found in adulterated samples of illicit substance. ⋯ In this article, we advocate for emergency medical services to distribute fentanyl and xylazine test strips. We also critically evaluate legal and other barriers to implementation.
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Opioids can cause respiratory depression, which could lead to patient harm. The project site noted a gap in identifying and monitoring postsurgical thoracic patients at risk for opioid-induced respiratory depression (OIRD), so an evidence-based solution was sought. ⋯ Based on the results, implementing the PRODIGY risk prediction tool and capnography monitoring on at-risk patients may affect RRT activation in this population.