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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Multicenter Study
Hospital variation in quality indicators for patient blood management in total knee and hip arthroplasty: a retrospective cohort study.
Anaemia, blood loss, and blood transfusion are critical aspects of patient care in major orthopaedic surgery. We assessed hospital adherence to guideline-recommended Patient Blood Management (PBM) care, analysed variations between hospitals, and validated two composite indicators of hospital PBM performance in patients undergoing total knee arthroplasty (TKA) or total hip arthroplasty (THA). ⋯ Hospital adherence to guideline-recommended patient blood management care in total hip and knee arthroplasty was suboptimal and varied across centres. Using data that are widely available in hospitals, quality indicators and composite scores could become valuable tools for patient blood management monitoring and comparisons between healthcare organisations.
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Letter Randomized Controlled Trial
Angiotensin II treatment of hypotension in noncardiac surgery: an initial dose-finding study.