Minerva anestesiologica
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Minerva anestesiologica · Nov 2022
Randomized Controlled TrialEfficacy of intravenous versus intraperitoneal lidocaine for postoperative analgesia in laparoscopic cholecystectomy: a randomized, double-blind, placebo-controlled trial.
Laparoscopic cholecystectomy (LC) has become the gold standard for gallbladder removal due to the low degree of invasiveness. However, postoperative pain still persists. Local anesthetics provide analgesia, reduce opioid consumption, and accelerate the return of bowel activity with a rare incidence of toxicity. However, it is still inconclusive to verify the more superior route of administration. This study aimed to compare the efficacy of intravenous lidocaine infusion, intraperitoneal lidocaine instillation, and placebo in reducing postoperative analgesia. ⋯ Intravenous lidocaine is superior to intraperitoneal lidocaine instillation and placebo in reducing postoperative analgesic requirement and visceral pain within the first six hours. Intravenous infusion is a simple and reliable method for reducing abdominal pain following laparoscopic cholecystectomy.
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Minerva anestesiologica · Nov 2022
Dynamic assessment of Surge Capacity in a large hospital network during Covid-19 pandemic.
The COVID-19 pandemic has provided an unprecedented scenario to deepen knowledge of surge capacity (SC), assessment of which remains a challenge. This study reports a large-scale experience of a multi-hospital network, with the aim of evaluating the characteristics of different hospitals involved in the response and of measuring a real-time SC based on two complementary modalities (actual, base) referring to the intensive care units (ICU). ⋯ The results provide benchmarks to better understand ICU hospital response capacity, highlighting the need for a more flexible approach to SC definition.
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Minerva anestesiologica · Nov 2022
The past, the present and the future of machine learning and artificial intelligence in anesthesia and Post Anesthesia Care Units (PACU).
Over the past decade, artificial intelligence (AI) has largely penetrated our daily life. Hence, our expectations regarding clinical AI are very high. However, in healthcare and especially in perioperative medicine, the impact of AI is still relatively limited. ⋯ If successfully implemented and integrated into the clinical workflow, AI-assisted perioperative medicine could become more preventative and personalized. However, AI implementation is not the final step. New challenges will follow implementation including algorithm maintenance, continuous monitoring, and improvement.