Annals of surgery
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Injured tissue predisposes the subject to local and systemic infection. We studied injury-induced immune dysfunction seeking novel means to reverse such predisposition. ⋯ Tissue injury-derived DAMPs suppress antimicrobial immunity through canonical GRK2 activation and a novel TLR-activated GRK2-pathway impairing cytoskeletal organization. Simultaneous GRK2/HDAC inhibition rescues susceptibility to infection after tissue injury.
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To investigate the association between operative time and postoperative outcomes. ⋯ Longer operative time was associated with worse outcomes in patients who underwent lobectomy. Operative time is a potential risk factor to consider in the perioperative phase.
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To implement a machine learning model using only the restricted data available at case creation time to predict surgical case length for multiple services at different locations. ⋯ We created a unique framework that is being leveraged every day to predict surgical case length more accurately at case posting time and could be potentially utilized to deploy future machine learning models.
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To present comprehensive information on the clinicopathological, molecular, survival characteristics, and quality of life (QOL) after surgery for solid pseudopapillary neoplasm (SPN) of the pancreas in a large cohort after long-term follow-up. ⋯ This study presented the largest cohort of patients with SPN after surgery from a single center and reported the QOL of these patients. SPN is associated with extremely favorable long-term survival, even in patients with metastasis, and most patients have a good QOL after surgery.
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To characterize and quantify accumulating immunologic alterations, pre and postoperatively in patients undergoing elective surgical procedures. ⋯ The baseline immune repertoire may define an immune signature of resilience to surgical injury and help predict risk for surgical complications.