Journal of the American College of Surgeons
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Surgical complications have tremendous consequences and costs. Complication detection is important for quality improvement, but traditional manual chart review is burdensome. Automated mechanisms are needed to make this more efficient. To understand the generalizability of a machine learning algorithm between sites, automated surgical site infection (SSI) detection algorithms developed at one center were tested at another distinct center. ⋯ Our findings demonstrated that SSI detection machine learning algorithms developed at 1 site were generalizable to another institution. SSI detection models are practically applicable to accelerate and focus chart review.
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Randomized Controlled Trial
Does Preoperative Calcium and Calcitriol Decrease Rates of Post-Thyroidectomy Hypocalcemia? A Randomized Clinical Trial.
Postoperative hypocalcemia is the most common complication after thyroidectomy. Postoperative supplementation with calcium and calcitriol reduces its occurrence; however, prophylactic preoperative supplementation has not been studied systematically. The primary objective of this study was to determine whether pre- and postoperative calcium and calcitriol supplementation reduces postoperative hypocalcemia after total thyroidectomy compared with postoperative supplementation alone. ⋯ Starting supplementation with calcium and calcitriol preoperatively does not reduce postoperative hypocalcemia compared with postoperative supplementation alone after total thyroidectomy. These findings do not support the practice of routine calcium and calcitriol supplementation before total thyroidectomy.
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We investigated whether preoperative clinical parameters predict diabetes remission and relapse after conventional gastrectomy for cancer and whether postoperative weight changes influence diabetes remission and relapse. ⋯ Six variables (BMI, type of gastrectomy, age, FPG levels, number of OHAs used, and insulin use/non-use), and 3 variables (age, FPG levels, number of OHAs used) significantly predict diabetes remission and relapse after gastrectomy for cancer, respectively. Greater postoperative weight decrease may increase the likelihood of diabetes remission, independent of baseline weight. Our results may serve as a basis for the establishment of diabetes and weight management strategies after conventional gastrectomy for cancer.
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The Predictive Optimal Trees in Emergency Surgery Risk (POTTER) tool is an artificial intelligence-based calculator for the prediction of 30-day outcomes in patients undergoing emergency operations. In this study, we sought to assess the performance of POTTER in the emergency general surgery (EGS) population in particular. ⋯ POTTER is an interpretable, accurate, and user-friendly predictor of 30-day outcomes in patients undergoing EGS. POTTER could prove useful for bedside counseling of patients and their families and for benchmarking of EGS care.