Management of Extracorporeal Membrane Oxygenation Anticoagulation in the Perioperative Period: The Pediatric Extracorporeal Membrane Oxygenation Anticoagulation CollaborativE Consensus Conference.

OBJECTIVES: To derive systematic review-informed, modified Delphi consensus regarding the management of children on extracorporeal membrane oxygenation (ECMO) undergoing invasive procedures or interventions developed by the Pediatric Anticoagulation on ECMO CollaborativE (PEACE) Consensus Conference. DATA SOURCES: A structured literature search was performed using PubMed, EMBASE, and Cochrane Library (CENTRAL) databases from January 1988 to May 2021. STUDY SELECTION: ECMO anticoagulation and hemostasis management in the perioperative period and during procedures. DATA EXTRACTION: Two authors reviewed all citations independently, with a third independent reviewer resolving any conflicts. Seventeen references were used for data extraction and informed recommendations. Evidence tables were constructed using a standardized data extraction form. DATA SYNTHESIS: Risk of bias was assessed using the Quality in Prognosis Studies tool. The evidence was evaluated using the Grading of Recommendations Assessment, Development, and Evaluation system. Forty-eight experts met over 2 years to develop evidence-based recommendations and, when evidence was lacking, expert-based consensus statements for the management of bleeding and thrombotic complications in pediatric ECMO patients. A web-based modified Delphi process was used to build consensus via the Research And Development/University of California Appropriateness Method. Consensus was defined as greater than 80% agreement. Four good practice statements, 7 recommendations, and 18 consensus statements are presented. CONCLUSIONS: Although agreement among experts was strong, important future research is required in this population for evidence-informed recommendations.

Artificial intelligence and nonoperating room anesthesia.

PURPOSE OF REVIEW: The integration of artificial intelligence (AI) in nonoperating room anesthesia (NORA) represents a timely and significant advancement. As the demand for NORA services expands, the application of AI is poised to improve patient selection, perioperative care, and anesthesia delivery. This review examines AI's growing impact on NORA and how it can optimize our clinical practice in the near future. RECENT FINDINGS: AI has already improved various aspects of anesthesia, including preoperative assessment, intraoperative management, and postoperative care. Studies highlight AI's role in patient risk stratification, real-time decision support, and predictive modeling for patient outcomes. Notably, AI applications can be used to target patients at risk of complications, alert clinicians to the upcoming occurrence of an intraoperative adverse event such as hypotension or hypoxemia, or predict their tolerance of anesthesia after the procedure. Despite these advances, challenges persist, including ethical considerations, algorithmic bias, data security, and the need for transparent decision-making processes within AI systems. SUMMARY: The findings underscore the substantial benefits of AI in NORA, which include improved safety, efficiency, and personalized care. AI's predictive capabilities in assessing hypoxemia risk and other perioperative events, have demonstrated potential to exceed human prognostic accuracy. The implications of these findings advocate for a careful yet progressive adoption of AI in clinical practice, encouraging the development of robust ethical guidelines, continual professional training, and comprehensive data management strategies. Furthermore, AI's role in anesthesia underscores the need for multidisciplinary research to address the limitations and fully leverage AI's capabilities for patient-centered anesthesia care.

Lean and/or Six Sigma for process optimization in the perioperative period: an integrative review.

OBJECTIVE: To analyze the evidence on the influence of Lean and/or Six Sigma for process optimization in the perioperative period. METHODS: Integrative review carried out in the MEDLINE (PubMed), Web of Science, EMBASE, CINAHL, Scopus and LILACS databases on the use of Lean and/or Six Sigma to optimize perioperative processes. The studies included were analyzed in three thematic categories: flow of surgical patients, work process and length of stay. RESULTS: The final sample consisted of ten studies, which covered all operative periods. Lean and/or Six Sigma make a significant contribution to optimizing perioperative processes. FINAL CONSIDERATIONS: Lean and/or Six Sigma optimize perioperative processes to maximize the achievement of system stability indicators, making it possible to identify potential problems in order to recognize them and propose solutions that can enable the institution of patient-centered care.

The quality of guidelines on the pancreatic perioperative enhanced recovery after surgery: a systematic quality appraisal using AGREE II instrument.

PURPOSE: To evaluate the quality of guidelines on the pancreatic perioperative enhanced recovery after surgery both domestically and internationally, providing reference and reference for clinical practice. METHODS: Systemically retrieved in the guideline websites, professional association websites and databases, such as up to date, BMJ Best Practice, PubMed, Embase, The Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), Wan Fang Data, China Science and Technology Journal Database(VIP), China Biology Medicine disc (CBMdisc), Medlive, Guidelines International Network(GIN), National Guideline Clearinghouse(NGC), National Institute for Health and Care Excellence(NICE), Registered Nurses Association of Ontario(RNAO), Scottish Intercollegiate Guidelines Network(SIGN), Joanna Briggs Institute Library(JBI), including guidelines and expert consensus on enhanced postsurgical recovery in pancreatic surgery published as of December 20, 2023. The Appraisal of Guidelines for Research and Evaluation II(AGREE II) tool was applied to evaluate the quality of the guidelines by four assessors. RESULTS: This study included seven guidelines, all of which were rated as Grade B in terms of quality, with ICC coefficients ranging from 0.752 to 0.884, indicating a high level of consistency. CONCLUSION: When formulating guidelines in the future, it is recommended to use AGREE II as a reference, emphasizing the standardization of the guideline development process and methods, fully considering patients' values and preferences, focusing on the applicability of the guidelines, and striving to create high-quality evidence-based recommendations.