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Invasive group A streptococcal infections as a consequence of coexisting or previous viral infection in the post-COVID-19 pandemic period.
J Infect Public Health
January 2025
Department of Infectious Diseases and Child Neurology, Institute of Paediatrics, Poznan University of Medical Sciences, Poland.
Background: Group A Streptococci (GAS) may cause infections of the pharynx and soft tissues and invasive infections in children (iGAS). A significant increase in severe iGAS infections has been reported in Europe since the fall of 2022.
Objectives: This retrospective study aims to analyse clinical data of children with invasive and non-invasive GAS infections in the post-COVID-19 pandemic era, searching for predisposing factors to developing invasive infections.
Polygenic risk scores and help-seeking behaviour in young people with recent onset of mood and psychotic disorders.
J Affect Disord
March 2025
Brain and Mind Centre, The University of Sydney, Sydney, Australia.
Objectives: We examined associations between polygenic risk scores (PRS) for depression (PRS-MDD), psychosis (PRS-SCZ), bipolar disorders (PRS-BD) and neuroticism (PRS-NEU) and (i) help-seeking, and (ii) new onset cases of full-threshold mood or psychotic disorders in youth.
Methods: Help-seeking for mental health problems was assessed by self-report and mood and psychotic disorders were identified using the Composite International Diagnostic Interview. A principal component analysis of the four selected PRS identified two dimensions (BD-SCZ; MDD-NEU) that accounted for 69.
Functional brain networks in clinical high-risk for bipolar disorder and psychosis.
Psychiatry Res
December 2024
Department of Neurosciences, Institute of Health Sciences, Dokuz Eylul University, Izmir, Turkey; Department of Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey; Department of Psychiatry, Melbourne Neuropsychiatry Centre, University of Melbourne and Melbourne Health, Victoria, Australia.
Abnormal connectivity in the brain has been linked to the pathophysiology of severe mental illnesses, including bipolar disorder and schizophrenia. The current study aimed to investigate large-scale functional networks and global network metrics in clinical high-risk for bipolardisorder (CHR-BD, n = 25), clinical high-risk for psychosis (CHR-P, n = 30), and healthy controls (HCs, n = 19). Help-seeking youth at CHR-BD and CHR-P were recruited from the early intervention program at Dokuz Eylul University, Izmir, Turkey.
View Article and Find Full Text PDFDigital Phenotypes of Mobile Keyboard Backspace Rates and Their Associations With Symptoms of Mood Disorder: Algorithm Development and Validation.
J Med Internet Res
October 2024
Department of Psychiatry, University of Illinois Chicago, Chicago, IL, United States.
Background: Passive sensing through smartphone keyboard data can be used to identify and monitor symptoms of mood disorders with low participant burden. Behavioral phenotyping based on mobile keystroke data can aid in clinical decision-making and provide insights into the individual symptoms of mood disorders.
Objective: This study aims to derive digital phenotypes based on smartphone keyboard backspace use among 128 community adults across 2948 observations using a Bayesian mixture model.
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