Journal of the American College of Surgeons
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Human error is impossible to eliminate, particularly in systems as complex as healthcare. The extent to which judgment errors in particular impact surgical patient care or lead to harm is unclear. ⋯ Specific procedure types and patients with certain preoperative variables had higher risk for judgment errors during their hospitalization. Errors in judgment adversely impacted the outcomes of surgical patients who experienced morbidity or mortality in this cohort. Preventing or mitigating errors and closely monitoring patients after an error in judgment is prudent and may improve surgical safety.
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Normothermic machine perfusion (NMP) of livers allows for the expansion of the donor pool and minimization of posttransplant complications. Results to date have focused on both donor and recipient outcomes, but there remains potential for NMP to also impact transplant providers. ⋯ NMP results in increased use of marginal allografts, which facilitated transplantation in lower laboratory MELD recipients who have been waitlisted longer and often have exception points. Importantly, NMP also appeared to shift peak caseloads from nighttime to daytime, which may have significant effects on the quality of life for the entire liver transplant team.
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Roux-en-Y gastric bypass (RYGB) demonstrates high rates of type 2 diabetes mellitus (T2DM) remission, a phenomenon hypothesized to be mediated mainly by weight loss. Compared with procedures that do not bypass the proximal small intestines, such as sleeve gastrectomy (SG), RYGB exhibits weight loss-independent intestinal mechanisms conducive to T2DM remission. We investigated continued diabetes remission (CDR) rates despite weight recurrence (WR) after RYGB compared with an SG cohort. ⋯ T2DM remission rates after RYGB are maintained despite WR, arguing for a concurrent weight loss-independent metabolic benefit likely facilitated by bypassing the proximal small intestine.
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We previously reported the successful development of a computer-aided diagnosis (CAD) system for preventing retained surgical sponges with deep learning using training data, including composite and simulated radiographs. In this study, we evaluated the efficacy of the CAD system in a clinical setting. ⋯ The validation of a CAD system using deep learning in a clinical setting showed similar efficacy as during the development of the system. These results suggest that the CAD system can contribute to the establishment of a more effective protocol than the current standard practice for preventing the retention of surgical items.