Articles: cations.
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Cancer-related coagulation abnormalities are characterized by complex dysregulation of the hemostatic system, predisposing patients to increased risk of thrombotic and hemorrhagic complications and associated increased morbidity and mortality. Advances in anticancer therapies with improved outcomes have led to better survival and older age of patients living with or having survived cancer. ⋯ All these factors will increase the number of patients presenting for surgical procedures, both cancer-related and noncancer related. It is important for the anesthesiologist to understand the magnitude of cancer-related coagulation derangement, its types, pathophysiology, and clinical presentation, to optimize the perioperative management of this high-risk rapidly growing patient population.
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Minerva anestesiologica · Dec 2024
Survival difference in patients treated with extracorporeal membrane oxygenation in COVID-19 vs. non-COVID ARDS: a systematic review and meta-analysis.
The COVID-19 pandemic has emphasized the need for effective management of severe acute respiratory distress syndrome (ARDS) using veno-venous extracorporeal membrane oxygenation (VV-ECMO). This meta-analysis aims to compare the effectiveness and outcomes of ECMO in patients with COVID-19 ARDS versus those with non-COVID ARDS, assessing its role in different respiratory virus infections. ⋯ ECMO serves as a vital intervention in severe ARDS, with differential effectiveness observed between COVID-19 and non-COVID patients. The study's findings underline the need for precise patient selection and tailored ECMO application across different viral etiologies. These insights are crucial for enhancing clinical strategies and resource allocation during ongoing and future pandemics.
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Anesthesia and analgesia · Dec 2024
Association of General Anesthesia for Cesarean Delivery with Postpartum Depression and Suicidality.
Compared to neuraxial anesthesia, general anesthesia (GA) for cesarean delivery is associated with an increased risk of postpartum depression (PPD) requiring hospitalization. However, obstetric complications occurring during childbirth (eg, stillbirth) are associated with both increased use of GA and increased risk of PPD, and may account for the reported association between GA and PPD. This study assessed the association of GA for cesarean delivery with PPD requiring hospitalization, outpatient visit, or emergency department (ED) visit, accounting for obstetric complications. ⋯ Use of GA for cesarean delivery is independently associated with a significantly increased risk of PPD requiring hospitalization and suicidality. It underscores the need to avoid using GA whenever appropriate and to address the potential mental health issues of patients after GA use, specifically by screening for PPD and providing referrals to accessible mental health providers as needed.
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Purpose: This study aims to establish and validate machine learning-based models to predict death in hospital among critical orthopaedic trauma patients with sepsis or respiratory failure. Methods: This study collected 523 patients from the Medical Information Mart for Intensive Care database. All patients were randomly classified into a training cohort and a validation cohort. ⋯ However, the eXGBM model consistently outperformed the RF model across multiple evaluation metrics, establishing itself as the superior option for predictive modeling in this scenario, with the RF model as a strong secondary choice. The SHAP analysis revealed that SAPS II, age, respiratory rate, OASIS, and temperature were the most important five features contributing to the outcome. Conclusions: This study develops an artificial intelligence application to predict in-hospital mortality among critical orthopaedic trauma patients with sepsis or respiratory failure.