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Developing predictive nomogram models using quantitative electroencephalography for brain function in type a aortic dissection: a prospective observational study.
Int J Surg
January 2025
Department of Cardio-Thoracic Surgery, Nanjing Drum Tower Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Nanjing, Jiangsu, China.
Background: Type A aortic dissection (TAAD) remains a significant challenge in cardiac surgery, presenting high risks of adverse outcomes such as permanent neurological dysfunction and mortality despite advances in medical technology and surgical techniques. This study investigates the use of quantitative electroencephalography (QEEG) to monitor and predict neurological outcomes during the perioperative period in TAAD patients.
Methods: This prospective observational study was conducted at the hospital, involving patients undergoing TAAD surgery from February 2022 to January 2023.
Small pulmonary nodule localization techniques in the era of lung cancer screening: a narrative review.
Int J Surg
January 2025
Carcinoma Department of Traditional Chinese Medicine, Dianjiang People's Hospital of Chongqing, Chongqing, PR China.
The widespread adoption of high-resolution computed tomography (CT) screening has led to increased detection of small pulmonary nodules, necessitating accurate localization techniques for surgical resection. This review examines the evolution, efficacy, and safety of various localization methods for small pulmonary nodules. Studies focusing on localization techniques for pulmonary nodules ≤30 mm in diameter were included, with emphasis on technical success rates and complication profiles.
View Article and Find Full Text PDFComparative Analysis of Machine Learning Algorithms Used for Translating Aptamer-Antigen Binding Kinetic Profiles to Diagnostic Decisions.
ACS Sens
January 2025
Department of Engineering Physics, McMaster University, 1280 Main Street West, L8S 4L8 Hamilton, Ontario, Canada.
Current approaches for classifying biosensor data in diagnostics rely on fixed decision thresholds based on receiver operating characteristic (ROC) curves, which can be limited in accuracy for complex and variable signals. To address these limitations, we developed a framework that facilitates the application of machine learning (ML) to diagnostic data for the binary classification of clinical samples, when using real-time electrochemical measurements. The framework was applied to a real-time multimeric aptamer assay (RT-MAp) that captures single-frequency (12.
View Article and Find Full Text PDFImpact of Medicaid Policies on Pre-pregnancy Preventive Dental Care.
Matern Child Health J
January 2025
Department of Epidemiology and Biostatistics, Michigan State University, Fee Hall West Wing; 909 Wilson Rd, East Lansing, MI, 48824, USA.
Background: Dental care before pregnancy is critical for preventing poor oral health, which is associated with adverse pregnancy outcomes. People with low incomes, however, may face insurance-related barriers to obtaining dental care. Medicaid expansion under the Affordable Care Act increased access to dental care utilization among adults with low incomes.
View Article and Find Full Text PDFExploring Maternal Resilience among Predominantly Low-Income and Minoritized Women.
Matern Child Health J
January 2025
Department of Psychology, College of Arts and Sciences, Lehigh University, Bethlehem, USA.
Background: Research has increasingly explored maternal resilience or protective factors that enable women to achieve healthier maternal and child outcomes. However, it has not adequately examined maternal resilience using a culturally-relevant, socio-ecological lens or how it may be influenced by early-life stressors and resources. The current study contributes to the literature on maternal resilience by qualitatively exploring the salient multi-level stressors and resources experienced over the lifecourse by predominantly low-income and minoritized women.
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