Articles: analgesics.
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J Neurosurg Anesthesiol · Apr 2024
Randomized Controlled TrialModified thoracolumbar Interfascial Plane Block Versus Erector Spinae Plane Block in Patients Undergoing Spine Surgeries: A Randomized Controlled Trial.
Lumbar spine surgery is associated with significant postoperative pain. Interfascial plane blocks, such as erector spinae plane (ESP) and thoracolumbar interfascial plane (TLIP) blocks, can play a significant role in multimodal analgesic regimens. ⋯ Compared with the mTLIP block, the ESP block was associated with lower pain scores and a small decrease in perioperative fentanyl consumption in patients undergoing lumbar spine surgeries. Both blocks could form a part of a multimodal analgesic regimen in spine surgery patients.
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Anesthesia and analgesia · Apr 2024
Randomized Controlled TrialVirtual Reality Distraction for Reducing Acute Postoperative Pain After Hip Arthroplasty: A Randomized Trial.
Relaxation and distraction provided by virtual reality presentations might be analgesic and reduce the need for opioid analgesia. We tested the hypothesis that a virtual reality program (AppliedVR) decreases acute postoperative pain and opioid requirements in patients recovering from hip arthroplasty. We also evaluated whether virtual reality distraction improves patient mobility and reduces the need for antiemetics. ⋯ We did not observe statistically significant or clinically meaningful reductions in average pain scores or opioid consumption. As used in our trial, virtual reality did not reduce acute postoperative pain.
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Randomized Controlled Trial
Efficacy and Safety Of Ultrasound Guided Erector Spinae Plane Block Compared To Sham Procedure in Adult Patients With Rib Fractures Presenting To The Emergency Department: A Randomized Control Trial.
The primary objective was to compare the analgesic efficacy of ultrasound-guided erector spinae plane block (ESPB) with a sham procedure in adult patients presenting with rib fractures to the emergency department (ED). ⋯ Ultrasound-guided ESPB resulted in significantly reduced pain intensity over the study period and reduced amount of rescue analgesia and had no discernible difference in adverse events when compared with a sham.
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This review explores the current applications of artificial intelligence (AI) in the field of pain medicine with a focus on machine learning. ⋯ Utilizing a literature search conducted through the PubMed database, several current trends were identified, including the use of AI as a tool for diagnostics, predicting pain progression, predicting treatment response, and performance of therapy and pain management. Results of these studies show promise for the improvement of patient outcomes. Current gaps in the research and subsequent directions for future study involve AI in optimizing and improving nerve stimulation and more thoroughly predicting patients' responses to treatment.