Articles: cations.
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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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Background: Sepsis-induced cardiomyopathy (SIC), one of the most common complications of sepsis, seriously affects the prognosis of critically ill patients. Choline metabolism is an important biological process in the organism, and the mechanism of its interaction with SIC is unclear. The aim of this study was to reveal the choline metabolism genes (CMGs) associated with SIC and to provide effective targets for the treatment of SIC. ⋯ Subsequent differential analysis based on the high and low HIF-1α expression yielded 63 DEGs and then they were uploaded into Cytoscape software to construct a protein-protein interaction (PPI) network and 6 hub genes with the highest priority were obtained (CISH, THBS1, IMP1, MYC, SOCS3 and VCAN). Finally, a multifactorial COX analysis revealed a significant correlation between HIF-1α and survival in SIC patients, which was further validated by in vitro and in vivo experiments. Conclusion: Our findings will provide new insights into the pathogenesis of SIC, and HIF-1α may have important applications as a potential biomarker for early detection and therapeutic intervention in SIC.
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Scaphocephaly is a craniofacial deformity caused by the premature fusion of the sagittal suture, which can affect skull growth and shape. For decades, surgical treatment or craniosynostosis has involved open procedures, ranging from the removal of a single suture to complex cranial remodeling techniques with large skin incisions. Since the 1990s, endoscopic approaches have emerged as potentially less invasive options. This study aimed to evaluate the efficacy of and differences between endoscopic scaphocephaly correction techniques. ⋯ Our results suggest that less invasive techniques, involving smaller incisions and excisions, can achieve comparable success with traditional techniques. These findings have significant implications for clinical practice, underscoring the importance of exploring less invasive options for scaphocephaly correction to improve patient outcomes and reduce morbidity.
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The performance of select neurosurgical procedures is being transitioned to an outpatient setting rather than an inpatient setting to increase healthcare cost-effectiveness. Despite numerous technological advancements in the treatment of unruptured intracranial aneurysms (UIAs), the procedures are solely performed in an inpatient setting. We aimed to compare the rate of short-term outcomes associated with inpatient endovascular treatment of UIAs with those for established outpatient neurosurgical procedures, including anterior cervical discectomy and fusions (ACDFs) and lumbar discectomies. ⋯ Inpatient elective endovascular treatment of UIAs had similarly low rates of intraprocedural complications and short-term readmissions compared with the established outpatient spine procedures. We hope that our findings may serve as the foundation for future, prospective studies assessing the safety and utility of performing endovascular procedures for UIAs in an outpatient setting.
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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.