British journal of anaesthesia
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Editorial Review
Predictive modelling for postoperative acute kidney injury: big data enhancing quality or the Emperor's new clothes?
The increased availability of large clinical datasets together with increasingly sophisticated computing power has facilitated development of numerous risk prediction models for various adverse perioperative outcomes, including acute kidney injury (AKI). The rationale for developing such models is straightforward. ⋯ Some of the purported benefits of predictive modelling, particularly when applied to postoperative AKI, might not fare well under detailed scrutiny. Future research should address existing limitations and seek to demonstrate both benefit to patients and value to healthcare systems from implementation of these models in clinical practice.
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Accumulating evidence supports an effect of physician gender (or sex, a surrogate used in many studies) on important patient outcomes such as death, complications, and hospital length of stay. Recent studies suggest that these effects result from the gender diversity of the team rather than individual physician gender. Here, we reflect on the potential mechanisms of an effect of physician gender on patient outcomes.
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Review Meta Analysis
Effectiveness of dexmedetomidine on patient-centred outcomes in surgical patients: a systematic review and Bayesian meta-analysis.
Dexmedetomidine is increasingly used for surgical patients requiring general anaesthesia. However, its effectiveness on patient-centred outcomes remains uncertain. Our main objective was to evaluate the patient-centred effectiveness of intraoperative dexmedetomidine for adult patients requiring surgery under general anaesthesia. ⋯ PROSPERO (CRD42023439896).