Articles: operative.
-
Randomized Controlled Trial
Interpectoral and Pectoserratus Plane Block vs. Local Anesthetic Infiltration for Partial Mastectomy: A Prospective Randomized Trial.
Patients undergoing breast surgery are at risk of severe postoperative pain. Several opioid-sparing strategies exist to alleviate this condition. Regional anesthesia has long been a part of perioperative pain management for these patients. ⋯ Our study showed decreased intraoperative opioid use in the IPP/PSP group and no difference in postoperative pain scores up to 24 hours. Both groups reported low postoperative pain scores. This trial is registered with NCT04824599.
-
Minerva anestesiologica · Jan 2024
Randomized Controlled TrialThe effect of the addition of nefopam to intraoperative ketoprofen and acetaminophen on postoperative morphine requirements after laparoscopic cholecystectomy: a randomized controlled trial.
Few studies investigated the use of nefopam for pain control after laparoscopic cholecystectomy in the context of multimodal analgesia. The aim of this study was to evaluate the effect of adding nefopam to ketoprofen and acetaminophen given before the end of laparoscopic cholecystectomy. ⋯ Adding nefopam to ketoprofen and acetaminophen before the end of laparoscopic cholecystectomy provides a reduction in morphine consumption with superior analgesia in PACU.
-
Randomized Controlled Trial
The effect of different nerve block strategies on the quality of post-operative recovery in breast cancer patients: A randomized controlled study.
To compare the effects of three types of ultrasound-guided nerve blocks on post-operative recovery quality in patients undergoing modified radical mastectomy for unilateral breast cancer. ⋯ Serratus anterior combined with transverse thoracic muscle plane block may be a safer, easier, and equally effective nerve block strategy than paravertebral block in patients undergoing modified radical mastectomy for unilateral breast cancer.
-
The utilization of artificial intelligence and machine learning as diagnostic and predictive tools in perioperative medicine holds great promise. Indeed, many studies have been performed in recent years to explore the potential. The purpose of this systematic review is to assess the current state of machine learning in perioperative medicine, its utility in prediction of complications and prognostication, and limitations related to bias and validation. ⋯ The findings indicate that the development of this field is still in its early stages. This systematic review indicates that application of machine learning in perioperative medicine is still at an early stage. While many studies suggest potential utility, several key challenges must be first overcome before their introduction into clinical practice.
-
Cannabis use is increasingly common, and with a growing number of jurisdictions implementing legalization frameworks, it is likely that providers will encounter more patients who use cannabis. Therefore, it is important for providers to understand the implications of cannabis use and practical considerations for the perioperative period. Cannabis affects multiple organ systems and may influence intraoperative anesthesia, as well as postoperative pain management. The effects of cannabis and key anesthetic considerations are reviewed here.