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Trends, characteristics, and outcomes of pregnancy in women with attention-deficit hyperactivity disorder: A nationwide analysis.
Eur J Obstet Gynecol Reprod Biol
January 2025
Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Southern California, Los Angeles, CA, USA; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Los Angeles General Medical Center, Los Angeles, CA, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA. Electronic address:
Objective: To assess clinical and obstetric characteristics associated with pregnant patients with a diagnosis of attention-deficit hyperactivity disorder (ADHD).
Methods: This serial cross-sectional study queried the Agency of Healthcare Research and Quality's Healthcare Cost and Utilization Project National Inpatient Sample. The study population was 16,759,786 hospital deliveries from 2016 to 2020.
Individualized total knee arthroplasty achieves better functional results than off-the-shelf implants in patients undergoing personalized coronal alignment.
Knee
January 2025
IULS-University Institute for Locomotion and Sports, Pasteur 2 Hospital, University Côte d'Azur, Nice, France; ICARE Team, Côte d'Azur University, Inserm, CNRS, Valrose Institute of Biology, Nice, France. Electronic address:
Background: Several studies have demonstrated the interest in patient-specific custom cutting guides in total knee arthroplasty (TKA), but clinical improvement remains debated. The purpose of this study was to evaluate the functional outcomes (Forgotten Joint Score, FJS) of patients undergoing individualized TKA compared with those receiving off-the-shelf (OTS) implants, both using patient-specific cutting guides with personalized alignment over a minimum follow up period of 12 months. We hypothesized that individualized TKA demonstrates significantly better functional outcomes than OTS TKA (FJS and percentage of patients reaching the minimum clinically important difference).
View Article and Find Full Text PDFA nationwide survey of dysphagia as a complication of deep neck infection with abscess in Japan.
Auris Nasus Larynx
January 2025
Department of Otolaryngology-Head and Neck Surgery, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu city, Gifu 501-1194, Japan. Electronic address:
Objective: Deep neck infection with abscess (DNI) may cause dysphagia as a late complication. This study aimed to determine the rate of DNI related dysphagia (DNIRD) and the effectiveness of rehabilitation and surgery for DNIRD.
Methods: As a multicenter retrospective study, we conducted a nationwide survey by sending questionnaires to specialist training institutions certified by the Japan Broncho-esophagological Society (JBES).
Evaluation of an interprofessional education workshop about common ocular conditions for pharmacy and optometry students.
Clin Exp Optom
January 2025
Division of Pharmacy and Optometry, University of Manchester, Manchester, UK.
Clinical Relevance: Interprofessional education and collaborative working are known to improve patient outcomes. The evidence to support this approach in optometry is lacking.
Background: There is no published evidence into the effectiveness of interprofessional education for pharmacy and optometry students.
Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation.
JMIR Cancer
January 2025
Division of Radiology and Biomedical Engineering, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Background: The application of natural language processing in medicine has increased significantly, including tasks such as information extraction and classification. Natural language processing plays a crucial role in structuring free-form radiology reports, facilitating the interpretation of textual content, and enhancing data utility through clustering techniques. Clustering allows for the identification of similar lesions and disease patterns across a broad dataset, making it useful for aggregating information and discovering new insights in medical imaging.
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