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Sex Differences in Long COVID.
JAMA Netw Open
January 2025
University Hospitals Cleveland Medical Center, Case Western Reserve University School of Medicine, Cleveland, Ohio.
Importance: A substantial number of individuals worldwide experience long COVID, or post-COVID condition. Other postviral and autoimmune conditions have a female predominance, but whether the same is true for long COVID, especially within different subgroups, is uncertain.
Objective: To evaluate sex differences in the risk of developing long COVID among adults with SARS-CoV-2 infection.
Increasing the Construct Validity of Computational Phenotypes of Mental Illness Through Active Inference and Brain Imaging.
Brain Sci
December 2024
Department of French and Francophone Studies, Brandon University, Brandon, MB R7A 6A9, Canada.
After more than 30 years since its inception, the utility of brain imaging for understanding and diagnosing mental illnesses is in doubt, receiving well-grounded criticisms from clinical practitioners. Symptom-based correlational approaches have struggled to provide psychiatry with reliable brain-imaging metrics. However, the emergence of computational psychiatry has paved a new path not only for understanding the psychopathology of mental illness but also to provide practical tools for clinical practice in terms of computational metrics, specifically computational phenotypes.
View Article and Find Full Text PDFDiscovering Time-Varying Public Interest for COVID-19 Case Prediction in South Korea Using Search Engine Queries: Infodemiology Study.
J Med Internet Res
December 2024
Department of Artificial Intelligence, The Catholic University of Korea, Bucheon-Si, Republic of Korea.
Background: The number of confirmed COVID-19 cases is a crucial indicator of policies and lifestyles. Previous studies have attempted to forecast cases using machine learning techniques that use a previous number of case counts and search engine queries predetermined by experts. However, they have limitations in reflecting temporal variations in queries associated with pandemic dynamics.
View Article and Find Full Text PDFStability of symptom-based subtypes in Sjogren's disease.
RMD Open
November 2024
Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, Tyne and Wear, UK
Article Synopsis
- The Newcastle Sjogren's Stratification Tool (NSST) categorizes Sjogren's disease patients into four subtypes, and this study examines how these subtypes change over time and the factors influencing these changes.
- Data from 274 patients in the UKPSSR and 237 in the ASSESS cohort revealed that subtype membership is reasonably stable, with roughly 60% retaining their subtype, particularly the high-symptom burden group.
- Factors such as baseline probability score and certain clinical characteristics, like anti-Ro status and BMI, are linked to subtype stability, suggesting that these symptom-based classifications could reflect underlying disease mechanisms and should be considered in treatment strategies.
Utility of chronic obstructive pulmonary disease assessment test in perioperative assessment of patients with mild to moderate chronic obstructive pulmonary disease.
J Thorac Dis
October 2024
Division of Pulmonology and Critical Care Medicine, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Article Synopsis
- - The study investigates the relationship between the COPD Assessment Test (CAT) scores and postoperative pulmonary complications (PPCs) in patients with mild to moderate COPD undergoing lung surgery, highlighting the necessity of thorough preoperative evaluations.
- - Out of 83 patients analyzed, 19.2% experienced PPCs, with a notable correlation found between higher CAT scores and increased risk of complications; specifically, a CAT score of ≥7 was identified as a significant predictor.
- - The findings suggest that CAT scores can serve as an effective tool for predicting the likelihood of PPCs in COPD patients prior to lung resection surgery, outperforming other traditional predictive factors in this context.
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