Articles: operative.
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Postoperative pain is common at the global level, despite considerable attempts for improvement, reflecting the complexity of offering effective pain relief. In this study, clinicians from Mexico, China, and eight European countries evaluated perioperative pain practices and patient-reported outcomes (PROs) in their hospitals as a basis for carrying out quality improvement (QI) projects in each country. ⋯ In preparation for quality improvement projects, we comprehensively evaluated pain-related patient-reported outcomes (PROs) and treatment practices of 10,415 adult patients spanning 10 countries. PROs were generally poor. Demographics, country and surgical discipline explained a small proportion of variation for the PROs, about 88% remained unexplained. Treatment practices varied considerably between wards. Ward effects accounted for about 7% and 32% of variation in PROs and treatment processes, respectively. Future studies will aim to identify treatments which are associated with improved outcomes.
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Practice Guideline
Perioperative Management of Antithrombotic Therapy: An American College of Chest Physicians Clinical Practice Guideline Executive Summary.
The American College of Chest Physicians Clinical Practice Guideline on the Perioperative Management of Antithrombotic Therapy addresses 43 Patients-Interventions-Comparators-Outcomes (PICO) questions related to the perioperative management of patients who are receiving long-term oral anticoagulant or antiplatelet therapy and require an elective surgery/procedure. This guideline is separated into four broad categories, encompassing the management of patients who are receiving: (1) a vitamin K antagonist (VKA), mainly warfarin; (2) if receiving a VKA, the use of perioperative heparin bridging, typically with a low-molecular-weight heparin; (3) a direct oral anticoagulant (DOAC); and (4) an antiplatelet drug. ⋯ Substantial new evidence has emerged since the 2012 iteration of these guidelines, especially to inform best practices for the perioperative management of patients who are receiving a VKA and may require heparin bridging, for the perioperative management of patients who are receiving a DOAC, and for patients who are receiving one or more antiplatelet drugs. Despite this new knowledge, uncertainty remains as to best practices for the majority of perioperative management questions.
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Consumer engagement (patient and public involvement) in perioperative medicine research is in its infancy. The patient experience and family/carer perspectives can provide an extra layer of insight to give more understanding as to what, why, and how we do research. Patients who have undergone surgery have a unique understanding of the issues, concerns, wants, and needs that they learned as a patient-they, therefore, can be considered as a professional given their experience(s)-thus warranting recognition as a partner in research. ⋯ We provide a framework for consumer engagement for adoption into anesthesia and other perioperative research. By incorporating the patient or caregiver into the design, funding application(s), data collection, and interpretation of the findings can be beneficial to all. This includes promoting knowledge and access to clinical trials, the wording of participant consent and information forms, methods of data collection, selection of important outcomes, and dissemination of results.
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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.