Anesthesia and analgesia
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Anesthesia and analgesia · Oct 2023
Migrant-Native Disparities in Obstetric Neuraxial Analgesia Use: The Role of Host-Country Language Proficiency.
Neuraxial analgesia (NA) is the most effective modality in managing labor pain with widespread availability in high-income countries. Previous research has reported a differential obstetric NA use among migrant and native women, but the contribution of language barriers is not well understood. We aimed to investigate whether host-country language proficiency among migrant women influences NA use and satisfaction with pain management during labor, when compared to natives. ⋯ Compared to native women, we observed a differential obstetric NA use across migrant women with different host-country language proficiency levels in Portugal, without affecting satisfaction with labor pain management. Although defining the mechanisms underlying NA use discrepancies requires further research, our findings support systematically evaluating pregnant migrant women's linguistic skills and ensuring their access to adequate obstetric analgesia-related information and interpretation services.
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Anesthesia and analgesia · Oct 2023
Randomized Controlled TrialModified Manual Chest Compression for Prevention and Treatment of Respiratory Depression in Patients Under Deep Sedation During Upper Gastrointestinal Endoscopy: Two Randomized Controlled Trials.
We aimed to determine the preventive and therapeutic efficacy of modified manual chest compression (MMCC), a novel noninvasive and device-independent method, in reducing oxygen desaturation events in patients undergoing upper gastrointestinal endoscopy under deep sedation. ⋯ MMCC may exert preventive and therapeutic effects against oxygen desaturation events during upper gastrointestinal endoscopy.
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Anesthesia and analgesia · Oct 2023
ReviewMachine Vision and Image Analysis in Anesthesia: Narrative Review and Future Prospects.
Machine vision describes the use of artificial intelligence to interpret, analyze, and derive predictions from image or video data. Machine vision-based techniques are already in clinical use in radiology, ophthalmology, and dermatology, where some applications currently equal or exceed the performance of specialty physicians in areas of image interpretation. While machine vision in anesthesia has many potential applications, its development remains in its infancy in our specialty. ⋯ The performance and potential uses of machine vision for anesthesia will only grow with the advancement of underlying machine vision algorithm technical performance developed outside of medicine, such as convolutional neural networks and transfer learning. This article summarizes recently published works of interest, provides a brief overview of techniques used to create machine vision applications, explains frequently used terms, and discusses challenges the specialty will encounter as we embrace the advantages that this technology may bring to future clinical practice and patient care. As machine vision emerges onto the clinical stage, it is critically important that anesthesiologists are prepared to confidently assess which of these devices are safe, appropriate, and bring added value to patient care.