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[Risk factors for the development of surgical wound infections in patients with closed fractures].

Acta Ortop Mex

January 2025

Servicio de Ortopedia, Hospital de Especialidades «5 de Mayo», Instituto de Seguridad y Servicios Sociales de los Trabajadores al Servicio de los Poderes del Estado de Puebla.

Introduction: orthopedic device-associated infections (ODI) are considered surgical site infections (SSI). SSIs are generally attributed to contamination during surgery, but they require certain factors for their development. Therefore, the objective of this study was to analyze the risk factors for the development of SSIs in patients with closed fractures.

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Objective: This study aims to investigate the clinical application value of the central venous-arterial carbon dioxide partial pressure difference (Pv-aCO2) in postoperative cognitive dysfunction(POCD) in patients with acute aortic dissection.

Methods: A retrospective analysis was conducted on the general data of 236 patients. Blood gas samples were collected from the arterial and venous lines at various time points during the surgery, including before and after the initiation of cardiopulmonary bypass (CPB), immediately after CPB initiation, before and after deep hypothermic circulatory arrest, 30 min after rewarming, and 5 min before weaning from CPB.

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Objective: This study aimed to evaluate the effect of co-administration of midazolam and dexmedetomidine on hemodynamics and stress response in elderly patients with non-small cell lung cancer (NSCLC).

Methods: In this prospective, randomized controlled trial, 154 elderly NSCLC patients scheduled for lobectomy in our oncology department from January 2019 to December 2021 were recruited. Patients were randomized 1:1 to receive either dexmedetomidine (control group) or dexmedetomidine plus midazolam (study group) for anesthesia during lobectomy the random number table method, with 77 patients in each group.

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Objective: We sought to develop a machine learning (ML) preoperative model to predict bile leak following hepatectomy for primary and secondary liver cancer.

Methods: An eXtreme Gradient Boosting (XGBoost) model was developed to predict post-hepatectomy bile leak using data from the ACS-NSQIP database. The model was externally validated using data from hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) multi-institutional databases.

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Background Wound dehiscence (WD) is a major postoperative complication following abdominal surgeries, particularly exploratory laparotomy. Identifying preoperative risk factors and using predictive tools, such as the Rotterdam Risk Index (RRI), are crucial for early intervention and improving patient outcomes. This study aimed to evaluate the risk factors associated with WD and assess the predictive accuracy of the RRI in a cohort of patients undergoing abdominal surgeries.

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