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Buprenorphine and postpartum contraception utilization among people with opioid use disorder: a multi-state analysis.
Addict Sci Clin Pract
January 2025
Departments of Family and Community Medicine and Health and Clinical Outcomes Research, Saint Louis University School of Medicine, Saint Louis, MO, USA.
Background: The postpartum period provides an opportunity for birthing people with opioid use disorder (OUD) to consider their future reproductive health goals. However, the relationship between the use of medication for opioid use disorder (MOUD) and contraception utilization is not well understood. We used multistate administrative claims data to compare contraception utilization rates among postpartum people with OUD initiating buprenorphine (BUP) versus no medication (psychosocial services receipt without MOUD (PSY)) in the United States (US).
View Article and Find Full Text PDFMedical therapy to treat obesity and optimize fertility in women of reproductive age: a narrative review.
Reprod Biol Endocrinol
January 2025
Departments of Internal Medicine and Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine, 330 Cedar St, New Haven, CT, 06510, USA.
Background: Overweight and obesity-chronic illnesses in which an increase in body fat promotes adipose tissue dysfunction and abnormal fat mass resulting in adverse metabolic, biomechanical, and psychosocial health consequences-negatively impact female fertility. Adverse conception outcomes are multifactorial, ranging from poor oocyte quality and implantation issues to miscarriages and fetal health issues. However, with the advent of novel pharmacologic agents, significant weight loss can be achieved, improving the chances of healthy pregnancies, and their use should be considered during periconceptual counseling.
View Article and Find Full Text PDFJoint EANM/EANO/RANO/SNMMI practice guideline/procedure standard for PET imaging of brain metastases: version 1.0.
Eur J Nucl Med Mol Imaging
January 2025
Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
This joint practice guideline/procedure standard was collaboratively developed by the European Association of Nuclear Medicine (EANM), the Society of Nuclear Medicine and Molecular Imaging (SNMMI), the European Association of Neuro-Oncology (EANO), and the PET task force of the Response Assessment in Neurooncology Working Group (PET/RANO). Brain metastases are the most common malignant central nervous system (CNS) tumors. PET imaging with radiolabeled amino acids and to lesser extent [F]FDG has gained considerable importance in the assessment of brain metastases, especially for the differential diagnosis between recurrent metastases and treatment-related changes which remains a limitation using conventional MRI.
View Article and Find Full Text PDFFactors influencing medical students' interest in obstetrics and gynecology: a longitudinal study on career preferences.
Arch Gynecol Obstet
January 2025
Department of Obstetrics and Prenatal Medicine, University Hospital Bonn, Venusberg Campus 1, 53127, Bonn, Germany.
Introduction: Choosing a medical specialty is a pivotal moment in a physician's career, shaped by personal interests, clinical experiences, and professional interactions. Obstetrics and gynecology (OB-GYN) offers a unique blend of surgical and medical care focused on women's health. Given the growing demand for OB-GYN specialists, understanding the factors that influence students' decisions is essential for workforce planning.
View Article and Find Full Text PDFArtificial intelligence for hemodynamic monitoring with a wearable electrocardiogram monitor.
Commun Med (Lond)
January 2025
Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, USA.
Background: The ability to non-invasively measure left atrial pressure would facilitate the identification of patients at risk of pulmonary congestion and guide proactive heart failure care. Wearable cardiac monitors, which record single-lead electrocardiogram data, provide information that can be leveraged to infer left atrial pressures.
Methods: We developed a deep neural network using single-lead electrocardiogram data to determine when the left atrial pressure is elevated.
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