Regional anesthesia and pain medicine
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Reg Anesth Pain Med · May 2022
ReviewRole of regional anesthesia and analgesia in enhanced recovery after colorectal surgery: a systematic review of randomized controlled trials.
Effective analgesia is an important element of enhanced recovery after surgery (ERAS), but the clinical impact of regional anesthesia and analgesia for colorectal surgery remains unclear. ⋯ CRD42020161200.
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Reg Anesth Pain Med · May 2022
Randomized Controlled TrialComparing liposomal bupivacaine plus bupivacaine to bupivacaine alone in interscalene blocks for rotator cuff repair surgery: a randomized clinical trial.
Single-injection interscalene brachial plexus blocks are used for analgesia for rotator cuff repair (RCR) but have limited duration. The value of adding liposomal bupivacaine (LB) to prolong single-injection interscalene blocks is unclear. The purpose of this trial is to evaluate the addition of LB to regular bupivacaine interscalene blocks for patients undergoing arthroscopic RCR. ⋯ LB added to bupivacaine interscalene blocks does not reduce opioid consumption within 72 hours following arthroscopic RCR.
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Reg Anesth Pain Med · May 2022
Recommendations for effective documentation in regional anesthesia: an expert panel Delphi consensus project.
Documentation is important for quality improvement, education, and research. There is currently a lack of recommendations regarding key aspects of documentation in regional anesthesia. The aim of this study was to establish recommendations for documentation in regional anesthesia. ⋯ By means of a modified Delphi process, we have established expert consensus on documentation in regional anesthesia.
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Reg Anesth Pain Med · May 2022
Machine learning approach to predicting persistent opioid use following lower extremity joint arthroplasty.
The objective of this study is to develop predictive models for persistent opioid use following lower extremity joint arthroplasty and determine if ensemble learning and an oversampling technique may improve model performance. ⋯ Ensemble learning can dramatically improve predictive models for persistent opioid use. Accurate and early identification of high-risk patients can play a role in clinical decision making and early optimization with personalized interventions.