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Wozniak J, O'Connor H, Iorini M, Ambrose AJH. Pediatric Bipolar Disorder: Challenges in Diagnosis and Treatment. Paediatr Drugs 2025; 27:125-142. [PMID: 39592559 PMCID: PMC11829910 DOI: 10.1007/s40272-024-00669-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/06/2024] [Indexed: 11/28/2024]
Abstract
Despite an opportunity to prevent adult psychopathology associated with bipolar disorder through early diagnosis in children, there is insufficient information and awareness among healthcare providers about the unique features and treatment of mania and its comorbid conditions in children. Converging evidence from disparate sites describe a developmentally distinct presentation of bipolar disorder in youth that is highly morbid, persistent and responds to treatment with the mood stabilizer medications used in the treatment of adult bipolar disorder, such as divalproex sodium and carbamazepine. Some are additionally approved for use in pediatric populations including, for manic or mixed states, risperidone, aripiprazole, and asenapine for those aged 10-17 years and also including lithium and olanzapine for ages 13-17 years. Quetiapine is approved as monotherapy or as adjunct to lithium or divalproex sodium for manic states in those aged 10-17 years. Delayed or missed diagnosis, inappropriate treatment, worsening course, and treatment resistance unfortunately still occur. While an array of mood-stabilizing medications is available for treatment, such as second-generation antipsychotics, lithium, and anticonvulsants, these can be only partially effective and fraught with annoying and serious side effects. This article will review current practice in the diagnosis and treatment of pediatric bipolar disorder and its comorbid conditions, highlighting areas of need for future research.
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Affiliation(s)
- Janet Wozniak
- Clinical and Research Programs in Pediatric Psychopharmacology and Adult ADHD, Massachusetts General Hospital, 55 Fruit St., Warren 705, Boston, MA, 02114, USA.
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
| | - Hannah O'Connor
- Clinical and Research Programs in Pediatric Psychopharmacology and Adult ADHD, Massachusetts General Hospital, 55 Fruit St., Warren 705, Boston, MA, 02114, USA
| | - Maria Iorini
- Clinical and Research Programs in Pediatric Psychopharmacology and Adult ADHD, Massachusetts General Hospital, 55 Fruit St., Warren 705, Boston, MA, 02114, USA
| | - Adrian Jacques H Ambrose
- Department of Psychiatry, Columbia University Irving Medical Center, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
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Namasse Z, Tabaa M, Hidila Z, Mouchawrab S. Explainable Artificial Intelligence for Predicting Attention Deficit Hyperactivity Disorder in Children and Adults. Healthcare (Basel) 2025; 13:155. [PMID: 39857182 PMCID: PMC11764524 DOI: 10.3390/healthcare13020155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2024] [Revised: 12/30/2024] [Accepted: 12/31/2024] [Indexed: 01/27/2025] Open
Abstract
Attention Deficit Hyperactivity Disorder (ADHD) is a disorder that starts in childhood, sometimes persisting into adulthood. It puts a strain on their social, professional, family, and environmental lives, which can exacerbate disorders such as anxiety, depression, and bipolar disorder. Background/Objectives: This paper aims to predict ADHD in children and adults and explain the main factors impacting this disorder. Methods: We start by introducing the main symptoms and challenges ADHD poses for children and adults such as epilepsy and depression. Then, we present the results of existing research on three ADHD comorbidities: anxiety, depression, and bipolar disorder, and their possible continuity in adulthood with therapeutic implications. After that, we explain the impact of this disorder and its relationship with these comorbidities on the affected patient's health and environment and list proposed treatments. We propose a methodology for predicting this impairment in children and adults by using Machine Learning algorithms (ML), Explainable Artificial Intelligence (XAI), and two datasets, the National Survey for Children's Health (NSCH) (2022) for the children and the ADHD|Mental Health for the adults. Results: Logistic Regression (LR) was the most suitable algorithm for children, with an accuracy of 99%. As for adults, the XGBoost (XGB) was the most performant ML method, with an accuracy of 100%. Conclusions: Lack of sleep and excessive smiling/laughing are among the factors having an impact on ADHD for children, whereas anxiety and depression affect ADHD adults.
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Affiliation(s)
- Zineb Namasse
- Multidisciplinary Laboratory of Research and Innovation, Moroccan School of Engineering Sciences, Casablanca 20250, Morocco; (Z.N.); (Z.H.)
- Research, Development, and Innovation Laboratory, Mundiapolis University, Casablanca 20180, Morocco;
| | - Mohamed Tabaa
- Multidisciplinary Laboratory of Research and Innovation, Moroccan School of Engineering Sciences, Casablanca 20250, Morocco; (Z.N.); (Z.H.)
| | - Zineb Hidila
- Multidisciplinary Laboratory of Research and Innovation, Moroccan School of Engineering Sciences, Casablanca 20250, Morocco; (Z.N.); (Z.H.)
| | - Samar Mouchawrab
- Research, Development, and Innovation Laboratory, Mundiapolis University, Casablanca 20180, Morocco;
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Zhong R, Wang Z, Zhu Y, Wu X, Wang X, Wu H, Zhou J, Li X, Xu G, Pan M, Chen Z, Li W, Jiao Z, Li M, Zhang Y, Chen J, Chen X, Li N, Sun J, Zhang J, Hu S, Gan Z, Qin Y, Wang Y, Ma Y, Fang Y. Prevalence and correlates of non-suicidal self-injury among patients with bipolar disorder: A multicenter study across China. J Affect Disord 2024; 367:333-341. [PMID: 39233245 DOI: 10.1016/j.jad.2024.08.231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 08/24/2024] [Accepted: 08/31/2024] [Indexed: 09/06/2024]
Abstract
BACKGROUND Non-suicidal self-injury (NSSI) is increasingly prevalent among patients with bipolar disorder (BD), raising concerns in psychology and mental health. Investigating the incidence and factors associated with NSSI is crucial for developing prevention and intervention strategies. METHODS NSSI behaviors were identified using the Ottawa Self-injury Inventory. The Clinically Useful Depression Outcome Scale supplemented with questions for the DSM-5 specifier of mixed features (CUDOS-M) and the Mini International Neuropsychiatric Interview (Hypo-)Manic Episode with Mixed Features-DSM-5 Module (MINI-M) were used to evaluate clinical symptoms. Non-parametric tests, chi-square tests, point-biserial correlation and logistic regression analyses were employed for the purposes of data analysis. RESULTS The enrolled sample comprised 1044 patients with BD from 20 research centers across China. Out of 1044 individuals, 446 exhibited NSSI behaviors, with 101 of them being adolescents, leading to a prevalence of 78.3 % among adolescent patients. The most common methods for females and males were "cutting" (41.2 %) and "hitting" (34.7 %), respectively. By binary logistic regression analysis, young age, female, bipolar type II disorder, with suicidal ideation and mixed states, depressive symptoms and without family history of mental disorder were correlates of NSSI in patients with BD (P < 0.05). LIMITATIONS As a cross-sectional study, causality between NSSI behaviors and associated factors cannot be established. Reporting and recall biases may occur due to self-rating scales and retrospective reports. CONCLUSION Our study indicates a concerning prevalence of NSSI, particularly among young patients with BD in China. Future research should focus on understanding NSSI behaviors in this population and developing effective interventions.
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Affiliation(s)
- Rongrong Zhong
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 200030, China
| | - Zuowei Wang
- Shanghai Hongkou Mental Health Center, 200083, China; Clinical Research Center for Mental Health, School of Medicine, Shanghai University, 200083, China
| | - Yuncheng Zhu
- Shanghai Hongkou Mental Health Center, 200083, China; Clinical Research Center for Mental Health, School of Medicine, Shanghai University, 200083, China.
| | - XiaoHui Wu
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 200030, China
| | - Xiaoping Wang
- The Second Xiangya Hospital of Central South University, 410012, China
| | - Haishan Wu
- The Second Xiangya Hospital of Central South University, 410012, China
| | - Jia Zhou
- Beijing Anding Hospital, Capital Medical University, 100088, China
| | - Xiaohong Li
- Beijing Anding Hospital, Capital Medical University, 100088, China
| | - Guiyun Xu
- The Affiliated Brain Hospital of Guangzhou Medical University, 510370, China
| | - Miao Pan
- The Second Affiliated Hospital of Xinxiang Medical University, 453002, China
| | - Zhiyu Chen
- Hangzhou Seventh People's Hospital, 310063, China
| | - Wenfei Li
- Anhui Mental Health Center, 230022, China
| | - Zhian Jiao
- Shandong Provincial Hospital, 250021, China
| | - Mingli Li
- West China Hospital Sichuan University, 610044, China
| | | | | | - Xiuzhe Chen
- Shandong Mental Health Center, 250014, China
| | - Na Li
- The first Affiliated Hospital of Kunming Medical College, 650032, China
| | - Jing Sun
- Nanjing Brain Hospital, 210024, China
| | - Jian Zhang
- Shenzhen Kang Ning Hospital, 518020, China
| | - Shaohua Hu
- The First Affiliated Hospital Zhejiang University School of Medicine, 310003, China
| | - Zhaoyu Gan
- No. 3 Hospital of Zhongshan University, 510630, China
| | - Yan Qin
- Dalian Seventh People's Hospital, 116086, China
| | - Yumei Wang
- The First Hospital of Hebei Medical University, 50030, China
| | - Yantao Ma
- Peking University Institute of Mental Health, 100191, China
| | - Yiru Fang
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 200030, China; Department of Psychiatry & Affective Disorders Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, China; Clinical Research Center for Mental Health, School of Medicine, Shanghai University, 200083, China.
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Zimmermann-Rösner A, Prehn-Kristensen A. The Microbiome in Child and Adolescent Psychiatry. ZEITSCHRIFT FUR KINDER- UND JUGENDPSYCHIATRIE UND PSYCHOTHERAPIE 2024; 52:213-226. [PMID: 38240707 DOI: 10.1024/1422-4917/a000965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/06/2024]
Abstract
Recent research has increasingly emphasized the function of the microbiome in human health. The gut microbiome is essential for digesting food and seems to play a vital role in mental health as well. This review briefly overviews the gut microbiome and its interplay with the central nervous system. We then summarize some of the latest findings on the possible role of the microbiome in psychiatric disorders in children and adolescents. In particular, we focus on autism spectrum disorder, attention-deficit/hyperactivity disorder, anorexia nervosa, bipolar disorder, and major depressive disorder. Although the role of microbiota in mental development and health still needs to be researched intensively, it has become increasingly apparent that the impact of microbiota must be considered to better understand psychiatric disorders.
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Affiliation(s)
| | - Alexander Prehn-Kristensen
- Institute for Child and Adolescent Psychiatry, Center of Integrative Psychiatry GmbH, Kiel, Germany
- Department of Psychology, Faculty of Human Sciences, MSH Medical School Hamburg - University of Applied Sciences and Medical University, Hamburg, Germany
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Wu Y, Li Y, An X, Li J, Yang C, Wang Y. Study on exosomes for identifying bipolar disorder in early stage: A cross-sectional and validation study protocol. Brain Behav 2024; 14:e3494. [PMID: 38641892 PMCID: PMC11031633 DOI: 10.1002/brb3.3494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 03/20/2024] [Accepted: 04/05/2024] [Indexed: 04/21/2024] Open
Abstract
BACKGROUND The difficulty is remained to accurately distinguish bipolar disorder (BD) from major depressive disorder (MDD) in early stage, with a delayed diagnosis for 5-10 years. BD patients are often treated with antidepressants systematically due to being diagnosed with MDD, affecting the disease course and clinical outcomes. The current study aims to explore the role of plasma exosomes as biomarker to distinguish BD from MDD in early stage. METHODS Two stages are included. The first stage is a cross-sectional study, comparing the concentrations of plasma exosome microRNA and related proteins among BD group, MDD group, and healthy controls (HC) group (n = 40 respectively), to identify target biomarkers preliminarily. The "Latent Class Analysis" and "Receiver Operating Characteristic" analysis will be performed to determine the optimal concentration range for each biomarker. The second stage is to validate target markers in subjects, coming from an ongoing study focusing on patients with a first depressive episode. All target biomarkers will be test in plasma samples reserved at the initial stage to detect whether the diagnosis indicated by biomarker level is consistent with the diagnosis by DSM-5. Furthermore, the correlation between specific biomarkers and the manic episode, suicidal ideation, and adverse reactions will also be observed. DISCUSSION Exosome-derived microRNA and related proteins have potential in serving as a good medium for exploring mental disorders because it can pass through the blood-brain barrier bidirectionally and convey a large amount of information stably. Improving the early diagnosis of BD would help implement appropriate intervention strategy as early as possible and significantly reduce the burden of disease.
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Affiliation(s)
- Yanqing Wu
- Tianjin Mental Health CenterTianjin Anding HospitalTianjinChina
| | - Yuchao Li
- Tianjin Mental Health CenterTianjin Anding HospitalTianjinChina
| | - Xuguang An
- Tianjin Mental Health CenterTianjin Anding HospitalTianjinChina
| | - Jiangong Li
- Tianjin Mental Health CenterTianjin Anding HospitalTianjinChina
| | - Chenghao Yang
- Tianjin Mental Health CenterTianjin Anding HospitalTianjinChina
| | - Yi Wang
- Tianjin Mental Health CenterTianjin Anding HospitalTianjinChina
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Miola A, Fountoulakis KN, Baldessarini RJ, Veldic M, Solmi M, Rasgon N, Ozerdem A, Perugi G, Frye MA, Preti A. Prevalence and outcomes of rapid cycling bipolar disorder: Mixed method systematic meta-review. J Psychiatr Res 2023; 164:404-415. [PMID: 37429185 DOI: 10.1016/j.jpsychires.2023.06.021] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 06/14/2023] [Accepted: 06/16/2023] [Indexed: 07/12/2023]
Abstract
Rapid-cycling in bipolar disorder (RC-BD) is associated with greater illness morbidity and inferior treatment response but many aspects remain unclear, prompting this systematic review of its definitions, prevalence, and clinical characteristics. We searched multiple literature databases through April 2022 for systematic reviews or meta-analyses on RC-BD and extracted associated definitions, prevalence, risk-factors, and clinical outcomes. We assessed study quality (NIH Quality Assessment Tool) and levels of evidence (Oxford criteria). Of 146 identified reviews, 22 fulfilling selection criteria were included, yielding 30 studies involving 13,698 BD patients, of whom 3777 (27.6% [CI: 26.8-28.3]) were considered RC-BD, as defined in 14 reports by ≥4 recurrences/year within the past 12 months or in any year, without considering responsiveness to treatment. Random-effects meta-analytically pooled one-year prevalence was 22.3% [CI: 14.4-32.9] in 12 reports and lifetime prevalence was 35.5% [27.6-44.3] in 18 heterogenous reports. Meta-regression indicated greater lifetime prevalence of RC-BD among women than men (p=0.003). Association of RC-BD with suicide attempts, and unsatisfactory response to mood-stabilizers was supported by strong evidence (Level 1); associations with childhood maltreatment, mixed-features, female sex, and type-II BD had moderate evidence (Level 2). Other factors: genetic predisposition, metabolic disturbances or hypothyroidism, antidepressant exposure, predominant depressive polarity (Level 3), along with greater illness duration and immune-inflammatory dysfunction (Level 4) require further study. RC-BD was consistently recognized as having high prevalence (22.3%-35.5% of BD cases) and inferior treatment response. Identified associated factors can inform clinical practice. Long-term illness-course, metabolic factors, and optimal treatment require further investigation.
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Affiliation(s)
- Alessandro Miola
- Department of Neuroscience, University of Padova, Padua, Italy; Padova Neuroscience Center, University of Padova, Padua, Italy; Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA; International Consortium for Mood & Psychotic Disorders Research, Mailman Research Center, McLean Hospital, Belmont, MA, USA.
| | - Konstantinos N Fountoulakis
- Department of Psychiatry III, School of Medicine Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece
| | - Ross J Baldessarini
- International Consortium for Mood & Psychotic Disorders Research, Mailman Research Center, McLean Hospital, Belmont, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Marin Veldic
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Marco Solmi
- Department of Psychiatry, University of Ottawa, Ontario, Canada; Department of Mental Health, The Ottawa Hospital, Ontario, Canada; Ottawa Hospital Research Institute (OHRI) Clinical Epidemiology Program University of Ottawa Ontario, Canada; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada; Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
| | - Natalie Rasgon
- Department of Psychiatry, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Aysegul Ozerdem
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Giulio Perugi
- Psychiatry Section, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Mark A Frye
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Antonio Preti
- Department of Neuroscience, University of Turin, via Cherasco 15, 10126, Turin, Italy; Eating Disorders Center, Azienda Ospedaliero-Universitaria, Città della Salute e della Scienza di Torino, Corso Bramante 88, 10126, Turin, Italy
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Lin CH, Chan HY, Lin HY, Chen CC. Fourteen-year trends in the prescribing patterns of pediatric bipolar patients discharged from two public mental hospitals in Taiwan. Asia Pac Psychiatry 2023; 15:e12525. [PMID: 36584983 DOI: 10.1111/appy.12525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 12/19/2022] [Indexed: 01/01/2023]
Abstract
INTRODUCTION The management of pediatric bipolar disorder (PBD) requires pharmacotherapy to control acute symptoms, reduce relapse, prevent suicide, and improve psychosocial functioning. The purpose of this study was to investigate prescribing patterns among PBD patients discharged from two public mental hospitals in Taiwan, from 2006 to 2019. METHODS PBD patients discharged from the two study hospitals, from 1 January 2006 to 31 December 2019 (n = 420), were included in the analysis. Prescribed drugs at discharge, including mood stabilizers (i.e., lithium, valproate, carbamazepine, and lamotrigine), antipsychotics (i.e., second- and first-generation antipsychotics, SGAs and FGAs), and antidepressants, were explored. Complex polypharmacy was defined as the use of 3 or more agents among the prescribed drugs. Time trends of each prescribing pattern were analyzed using the Cochran-Armitage Trend test. RESULTS The most commonly prescribed psychotropic agents were SGAs (76.0%), followed by valproate (65.7%) and FGAs (24.8%). The prescription rates of SGAs, antidepressants, antidepressant plus antipsychotic, and antidepressant without mood stabilizer significantly increased over time, whereas the prescription rates of mood stabilizers, lithium, and FGAs significantly decreased. DISCUSSIONS Prescribing patterns changed greatly for PBD patients over time. However, much more evidence supporting the effectiveness of psychotropic agents in PBD patients is required.
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Affiliation(s)
- Ching-Hua Lin
- Kaohsiung Municipal Kai-Syuan Psychiatric Hospital, Kaohsiung, Taiwan.,Department of Psychiatry, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Post-Baccalaureate Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung, Taiwan
| | - Hung-Yu Chan
- Department of General Psychiatry, Taoyuan Psychiatric Center, Taoyuan, Taiwan.,Department of Psychiatry, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Hsin-Yi Lin
- Department of Medical Education, Cathay General Hospital, Taipei, Taiwan
| | - Cheng-Chung Chen
- Department of Post-Baccalaureate Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung, Taiwan
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Sesso G, Brancati GE, Masi G. Comorbidities in Youth with Bipolar Disorder: Clinical Features and Pharmacological Management. Curr Neuropharmacol 2023; 21:911-934. [PMID: 35794777 PMCID: PMC10227908 DOI: 10.2174/1570159x20666220706104117] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 04/14/2022] [Accepted: 06/13/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Bipolar Disorder (BD) is a highly comorbid condition, and rates of cooccurring disorders are even higher in youth. Comorbid disorders strongly affect clinical presentation, natural course, prognosis, and treatment. METHODS This review focuses on the clinical and treatment implications of the comorbidity between BD and Attention-Deficit/Hyperactivity Disorder, disruptive behavior disorders (Oppositional Defiant Disorder and/or Conduct Disorder), alcohol and substance use disorders, Autism Spectrum Disorder, anxiety disorders, Obsessive-Compulsive Disorder, and eating disorders. RESULTS These associations define specific conditions which are not simply a sum of different clinical pictures, but occur as distinct and complex combinations with specific developmental pathways over time and selective therapeutic requirements. Pharmacological treatments can improve these clinical pictures by addressing the comorbid conditions, though the same treatments may also worsen BD by inducing manic or depressive switches. CONCLUSION The timely identification of BD comorbidities may have relevant clinical implications in terms of symptomatology, course, treatment and outcome. Specific studies addressing the pharmacological management of BD and comorbidities are still scarce, and information is particularly lacking in children and adolescents; for this reason, the present review also included studies conducted on adult samples. Developmentally-sensitive controlled clinical trials are thus warranted to improve the prognosis of these highly complex patients, requiring timely and finely personalized therapies.
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Affiliation(s)
- Gianluca Sesso
- IRCCS Stella Maris, Scientific Institute of Child Neurology and Psychiat., Calambrone (Pisa), Italy
| | | | - Gabriele Masi
- IRCCS Stella Maris, Scientific Institute of Child Neurology and Psychiat., Calambrone (Pisa), Italy
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Luo S, Zheng N, Lang B. ULK4 in Neurodevelopmental and Neuropsychiatric Disorders. Front Cell Dev Biol 2022; 10:873706. [PMID: 35493088 PMCID: PMC9039724 DOI: 10.3389/fcell.2022.873706] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 03/29/2022] [Indexed: 11/21/2022] Open
Abstract
The gene Unc51-like kinase 4 (ULK4) belongs to the Unc-51-like serine/threonine kinase family and is assumed to encode a pseudokinase with unclear function. Recently, emerging evidence has suggested that ULK4 may be etiologically involved in a spectrum of neuropsychiatric disorders including schizophrenia, but the underlying mechanism remains unaddressed. Here, we summarize the key findings of the structure and function of the ULK4 protein to provide comprehensive insights to better understand ULK4-related neurodevelopmental and neuropsychiatric disorders and to aid in the development of a ULK4-based therapeutic strategy.
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Affiliation(s)
- Shilin Luo
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China
- Hunan Provincial Engineering Research Center of Translational Medicine and Innovative Drug, Changsha, China
| | - Nanxi Zheng
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- *Correspondence: Nanxi Zheng, ; Bing Lang,
| | - Bing Lang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- *Correspondence: Nanxi Zheng, ; Bing Lang,
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Kadakia A, Dembek C, Liu Y, Dieyi C, Williams GR. Hospitalization risk in pediatric patients with bipolar disorder treated with lurasidone vs. other oral atypical antipsychotics: a real-world retrospective claims database study. J Med Econ 2021; 24:1212-1220. [PMID: 34647502 DOI: 10.1080/13696998.2021.1993862] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
BACKGROUND Real-world evidence on atypical antipsychotic (AAP) use in pediatric bipolar disorder is limited. OBJECTIVE To assess the risk of all-cause and psychiatric hospitalization among pediatric patients with bipolar disorder when treated with lurasidone versus other atypical antipsychotics (AAPs). METHODS This retrospective cohort study used commercial claims data (January 1, 2011 to June 30, 2017) to identify pediatric patients (age ≤17 years) with bipolar disorder treated with oral atypical antipsychotics (N = 16,201). The date of the first claim for an AAP defined the index date, with pre- and post-index periods of 180 days. Each month of the post-index period was categorized as monotherapy treatment with lurasidone, aripiprazole, olanzapine, quetiapine, or risperidone, no/minimal treatment, or other. The risk of all-cause and psychiatric hospitalizations (defined by a psychiatric diagnosis on the facility claim) was analyzed based on treatment in the current month, time-varying covariates (prior treatment-month classification, hospitalization in the prior month, emergency room visit in the prior month), and fixed covariates (age, gender, pervasive development disorder/mental retardation, disruptive behavior/conduct disorder, attention deficit hyperactivity disorder, depression, anxiety, adjustment disorder, obesity, diabetes, antidepressants, anxiolytics, other co-medication) using a marginal structural model. RESULTS Treatment with aripiprazole (OR = 1.60, 95% CI: 1.08-2.36) and olanzapine (OR = 1.68, CI: 1.03-2.71) was associated with significantly higher odds of all-cause hospitalizations compared to lurasidone, but treatment with quetiapine (OR = 1.03, CI: 0.69-1.54) or risperidone (OR = 1.02, CI: 0.68-1.53) was not. Similarly, treatment with aripiprazole (OR = 1.61, 95% CI: 1.08-2.38) and olanzapine (OR = 1.73, CI: 1.06-2.80) was associated with significantly higher odds of psychiatric hospitalizations compared to lurasidone, but treatment with quetiapine (OR = 1.02, CI: 0.68-1.54) or risperidone (OR = 1.01, CI: 0.67-1.51) was not. CONCLUSION In usual clinical care, pediatric patients with bipolar disorder treated with lurasidone had a significantly lower risk of all-cause and psychiatric hospitalizations when compared to aripiprazole and olanzapine, but not quetiapine or risperidone.
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Affiliation(s)
| | | | - Yi Liu
- STATinMED Research, Plano, TX, USA
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