British journal of anaesthesia
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Clinical practice guidelines are a valuable resource aiding medical decision-making based on scientific evidence. In anaesthesia, guidelines are increasing in both number and scope, influencing individual practice and shaping local departmental policy. The aim of this review is to assess the quality of clinical practice guidelines published in high impact anaesthesia journals over the past 5 yr using the internationally validated Appraisal of Guidelines for Research and Evaluation (AGREE) II instrument. ⋯ Most guidelines studied involved international collaboration but emerged from a single professional society. Use of an appraisal tool was stated as high but poorly detailed. The improvement in the overall score of guidelines and rigour of development is promising; however, only seven guidelines met high-quality criteria, suggesting room for improvement for the overall integrity of guidelines in anaesthesia.
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Multicenter Study Observational Study
Preoperative anaemia and outcome after elective cardiac surgery: a Dutch national registry analysis.
Previous studies have shown that preoperative anaemia in patients undergoing cardiac surgery is associated with adverse outcomes. However, most of these studies were retrospective, had a relatively small sample size, and were from a single centre. The aim of this study was to analyse the relationship between the severity of preoperative anaemia and short- and long-term mortality and morbidity in a large multicentre national cohort of patients undergoing cardiac surgery. ⋯ Preoperative anaemia was associated with mortality and morbidity after cardiac surgery. The risk of adverse outcomes increased with anaemia severity. Preoperative anaemia is a potential target for treatment to improve postoperative outcomes.
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Postoperative hypotension is associated with adverse outcomes, but intraoperative prediction of postanaesthesia care unit (PACU) hypotension is not routine in anaesthesiology workflow. Although machine learning models may support clinician prediction of PACU hypotension, clinician acceptance of prediction models is poorly understood. ⋯ The ability of anaesthesiologists to predict PACU hypotension was improved by exposure to machine learning model predictions. Clinicians acknowledged value and trust in machine learning technology. Increasing familiarity with clinical use of model predictions is needed for effective integration into perioperative workflows.
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Workplace-based assessment (WBA) is key to a competency-based assessment strategy. Concomitantly with our programme's launch of competency-based medical education, we developed an entrustment-based WBA, the Anesthesia Clinical Encounter Assessment (ACEA), to assess readiness for independent practice of competencies essential to perioperative patient care. This study aimed to examine validity evidence of the ACEA during postgraduate anaesthesiology training. ⋯ This study supports the validity of the ACEA for assessing the competence of residents performing perioperative care and supports its use in competency-based anaesthesiology training.