Journal of clinical anesthesia
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Review Meta Analysis Comparative Study
Comparing oxygen therapies for hypoxemia prevention during gastrointestinal endoscopy under procedural sedation: A systematic review and network meta-analysis.
Hypoxemia is the most frequent adverse event observed during gastrointestinal endoscopy under procedural sedation. An optimum oxygen therapy has still not been conclusively determined. ⋯ During gastrointestinal endoscopy under procedural sedation, all other advanced oxygen therapies were found to be more efficacious than nasal cannula. NIPPV and WNJT appear to be the most efficacious oxygen therapy for preventing hypoxemia. Additionally, clinicians should make a choice regarding the most suitable oxygen therapy based on the risk population, type of endoscopy and adverse events.
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Review Meta Analysis
Analgesic efficacy and safety of erector spinae plane block in pediatric patients undergoing elective surgery: A systematic review and Meta-analysis of randomized controlled trials.
Ultrasound-guided erector spinae plane block (ESPB) is commonly used for perioperative analgesia in adults; however, its analgesic efficacy and safety in pediatric patients remain uncertain. This review aimed to determine whether ultrasound-guided ESPB can improve analgesic efficacy and safety in pediatric surgery. ⋯ ESPB provides effective and safe perioperative analgesia in pediatric patients undergoing elective surgery under general anesthesia.
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ChatGPT4 is a leading large language model (LLM) chatbot released by OpenAI in 2023. ChatGPT4 can respond to free-text queries, answer questions and make suggestions regarding virtually any topic. ChatGPT4 has successfully answered anesthesia and even obstetric anesthesia knowledge-based questions with reasonable accuracy. However, ChatGPT4 has yet to be challenged in obstetric anesthesia clinical decision-making. ⋯ In summary, approximately one quarter of all responses by ChatGPT4 were deemed unsafe by expert obstetric anesthesiologists. These findings may suggest the need for more fine-tuning and training of LLMs such as ChatGPT4 specifically for clinical decision making in obstetric anesthesia or other specialized medical fields. These LLMs may come to play an important future role in assisting obstetric anesthesiologists in clinical decision making and enhancing overall patient care.