Objective: To assess patient characteristics and clinician-rated outcomes for children diagnosed with early-onset bipolar disorder in comparison to a depressive disorders cohort from a single clinic site. To assess predictors of bipolar treatment response.
Methods: Medical records from 714 consecutive pediatric patients evaluated and treated at an academic tertiary child and adolescent psychiatry clinic between 2006 and 2012 were reviewed. Charts of bipolar children (n = 49) and children with depressive disorders (n = 58) meeting study inclusion/exclusion criteria were compared on variables assessing clinical characteristics, treatments, and outcomes. Outcomes were assessed by using pre- and post-Clinical Global Impressions (CGI)-Severity and Children's Global Assessment Scale (CGAS) scores, and a CGI-Improvement score ≤2 at final visit determined responder status. Bipolar outcome predictors were assessed by using multiple linear regression.
Results: Clinic prevalence rates were 6.9% for early-onset bipolar disorder and 1.5% for very early-onset bipolar disorder. High rates of comorbid diagnoses, symptom severity, parental stress, and child high-risk behaviors were found in both groups. The bipolar cohort had higher rates of aggression and higher lifetime systems of care utilization. The final CGI and CGAS outcomes for unipolar depression patients differed statistically significantly from those for the bipolar cohort, reflecting better clinical status and more improvement at outcome for the depression patients. Both parent-reported Child Behavior Checklist total T-score at clinic admission and the number of lifetime systems-of-care for the child were significantly and inversely associated with improvement for the bipolar cohort.
Conclusions: Early-onset bipolar disorder is a complex and heterogeneous psychiatric disorder. Evidence-based treatment should emphasize psychopharmacology with adjunctive family and individual psychotherapy. Strategies to improve engagement in treatment may be especially important. Given high rates of high-risk behaviors in these youth, regular mental health follow-up to assess safety is important. Additional evidence-based treatments for pediatric bipolar disorder are needed.
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http://dx.doi.org/10.1089/cap.2017.0058 | DOI Listing |
Int J Bipolar Disord
December 2024
Department for Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt-Goethe University, Frankfurt am Main, Germany.
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View Article and Find Full Text PDFZh Nevrol Psikhiatr Im S S Korsakova
December 2024
Mental Health Research Center, Moscow, Russia.
Mental disorders are complex illnesses with multifactorial etiologies involving genetic and environmental components. This review focuses on cellular models derived from the olfactory epithelium as a promising tool to study the molecular mechanisms of some neuropsychiatric diseases. The authors consider cell lines allowing the identification of potential biomarkers and pathogenetic mechanisms of schizophrenia, bipolar disorder, and Alzheimer's disease.
View Article and Find Full Text PDFJ Control Release
December 2024
Department of Chemical Engineering, McMaster University, 1280 Main Street, West Hamilton, ON L8S 4L8, Canada. Electronic address:
While bipolar disorder patients can benefit from lithium therapy, high levels of lithium in the serum can induce undesirable systemic side effects. Intranasal (IN) lithium delivery offers a potential solution to this challenge given its potential to facilitate improved lithium transport to brain when delivered to the olfactory mucosa. Herein, a sprayable, in situ forming nanoparticle network hydrogel (NNH) based on Schiff base interactions between chelator-functionalized oxidized starch nanoparticles (SNPs) and carboxymethyl chitosan (CMCh) is reported that can be deployed within the nasal cavity to release ultra-small penetrative SNPs over time.
View Article and Find Full Text PDFEur Arch Psychiatry Clin Neurosci
December 2024
Department of Psychiatry, University of Muenster, Muenster, Germany.
Schizophrenia (SCZ), bipolar (BD) and major depression disorder (MDD) are severe psychiatric disorders that are challenging to treat, often leading to treatment resistance (TR). It is crucial to develop effective methods to identify and treat patients at risk of TR at an early stage in a personalized manner, considering their biological basis, their clinical and psychosocial characteristics. Effective translation of theoretical knowledge into clinical practice is essential for achieving this goal.
View Article and Find Full Text PDFCurr Issues Mol Biol
November 2024
Systems Biology Unit, Department of Experimental Biology, Faculty of Experimental Sciences, University of Jaén, 23071 Jaén, Spain.
Neurological disorders such as Autism Spectrum Disorder (ASD), Schizophrenia (SCH), Bipolar Disorder (BD), and Major Depressive Disorder (MDD) affect millions of people worldwide, yet their molecular mechanisms remain poorly understood. This study describes the application of the Comparative Analysis of Shapley values (CASh) to transcriptomic data from nine datasets associated with these complex disorders, demonstrating its effectiveness in identifying differentially expressed genes (DEGs). CASh, which combines Game Theory with Bootstrap resampling, offers a robust alternative to traditional statistical methods by assessing the contribution of each gene in the broader context of the complete dataset.
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