Background: The process and outcome of a consensus conference to develop revised algorithms for treatment of bipolar disorder to be implemented in the public mental health system of Texas are described. These medication algorithms for bipolar disorder are an update of those developed for the Texas Medication Algorithm Project, a research study that tested the clinical and economic impact of treatment guidelines for major psychiatric illnesses treated in the Texas public mental health system (Texas Department of Mental Health and Mental Retardation [TDMHMR]).
Method: Academic clinicians and researchers, practicing clinicians in the TDMHMR system, administrators, advocates, and consumers participated in a consensus conference in August 2000. Participants attended presentations reviewing new evidence in the pharmacologic treatment of bipolar disorder and discussed the needs of consumers in the TDMHMR system. Principles were enumerated, including balancing of evidence for efficacy, tolerability, and safety in medication choices. A set of 7 distinct algorithms was drafted. In the following months, a subcommittee condensed this product into 2 primary algorithms.
Results: The panel agreed to 2 primary algorithms: treatment of mania/hypomania, including 3 pathways for treatment of euphoric symptoms, mixed or dysphoric symptoms, and psychotic symptoms; and treatment of depressive symptoms. General principles to guide algorithm implementation were discussed and drafted.
Conclusion: The revised algorithms are currently being disseminated and implemented within the Texas public mental health system. The goals of the Texas initiative include increasing the consistency of appropriate treatment of bipolar disorder, encouraging systematic and optimal use of available pharmacotherapies, and improving the outcomes of patients with bipolar disorder.
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http://dx.doi.org/10.4088/jcp.v63n0404 | DOI Listing |
Int J Soc Psychiatry
January 2025
Department of Psychiatry, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
Background: Patients with serious mental illness (SMI) often engage in religious and superstitious activities. The implications of such engagements remain unclear, with no established guidelines for mental health professionals.
Aims: This study aimed to survey perspectives and gather suggestions from various disciplines within mental healthcare regarding the engagement in religious/superstitious activities of SMI patients: schizophrenia spectrum disorders, bipolar disorder, major depressive disorder.
Int J Mol Sci
December 2024
Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125 Brescia, Italy.
Severe mental disorders (SMDs), such as schizophrenia (SZ), bipolar disorder (BD), and major depressive disorder (MDD), are heterogeneous psychiatric diseases that impose a significant societal burden due to their chronic disabling nature. There are no objective and reliable diagnostic tests for SMDs; thus, there is an urgent need for specific biomarkers to improve diagnosis, treatment, and resource allocation. Neurofilaments, found in cerebrospinal fluid and blood, offer reliable diagnostic and prognostic potential.
View Article and Find Full Text PDFNeurosci Biobehav Rev
January 2025
Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Department of Psychiatry, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, the Thai Red Cross Society, Bangkok, Thailand; Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, 610072, China; Cognitive Impairment and Dementia Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Department of Psychiatry, Medical University of Plovdiv, Plovdiv, Bulgaria; Research Institute, Medical University Plovdiv, Plovdiv, Bulgaria; Research and Innovation Program for the Development of MU - PLOVDIV- (SRIPD-MUP), Creation of a network of research higher schools, National plan for recovery and sustainability, European Union - NextGenerationEU; Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul 02447, Korea. Electronic address:
Background: Major depressive disorder (MDD) and bipolar disorder (BD) often coexist with metabolic syndrome. Both are linked to increased atherogenicity and a higher risk of cardiovascular diseases. Nevertheless, a comprehensive analysis of key atherogenic biomarkers in MDD/BD is still lacking.
View Article and Find Full Text PDFJ Affect Disord
January 2025
Department of Psychiatry, School of Medicine, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia.
Background: Individuals, who suffer from severe mental illnesses (SMI), such as bipolar disorder (BD), schizophrenia (SCZ), and major depressive disorder (MDD), are more likely to engage in risky sexual behavior. A severe mental illness can lead to a decrease in impulse control, a reduction in cognitive function and memory, and a psychosocial impairment that increases risky sexual behavior. Risky sexual behavior (RSB) can lead to health problems such as sexually transmitted infections, including HIV/AIDS, early pregnancy, and unplanned pregnancies.
View Article and Find Full Text PDFJ Affect Disord
January 2025
Service hospitalo-universitaire de psychiatrie générale et de réhabilitation psychosociale 29G01 et 29G02, ER 7479 SPURBO, CHRU de Brest, hôpital de Bohars, Brest, France.
Background And Hypothesis: The development of paraclinical tools to assist clinical assessment is already widespread in nearly all other medical specialties. In psychiatry, many efforts are being made to improve management strategies using these new techniques. The first episode psychosis (FEP) is a clinical entity whose evolution after onset is difficult to predict in the current state of our practices.
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