Annals of surgery
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To evaluate the impact of persistent opioid use (POU) following surgery or trauma on health outcomes using linked data. ⋯ Among opioid-naive patients who received opioids after surgery or trauma, POU was associated with worse outcomes, including increased mortality. Further investigation is warranted to understand the reasons for continued opioid use beyond 90 days and mechanisms associated with harm.
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To develop a universally accepted complexity and experience grading system to guide the safe implementation of robotic and laparoscopic minimally invasive pancreatoduodenectomy (MIPD). ⋯ This ISGPS complexity and experience grading system for robotic and laparoscopic MIPD may enable surgeons to optimally select patients after duly considering specific risk factors known to influence the complexity of the procedure. This grading system will likely allow for a thoughtful and stepwise implementation of MIPD and facilitate a fair comparison of outcomes between centers and countries.
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Observational Study
A Pilot Study Using Machine Learning Algorithms and Wearable Technology for the Early Detection of Postoperative Complications After Cardiothoracic Surgery.
To evaluate whether a machine-learning algorithm (ie, the "NightSignal" algorithm) can be used for the detection of postoperative complications before symptom onset after cardiothoracic surgery. ⋯ Machine-learning analysis of biometric data collected from wearable devices has the potential to detect postoperative complications-before symptom onset-after cardiothoracic surgery.