Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
COMPLETED
NA
750 participants
INTERVENTIONAL
2003-11-30
2007-02-28
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Does Bipolar Disease Program (BDP) Intervention Improve Long Term Manic and Depressive Symptoms.
NCT00007761
Reducing Medical Risks in Individuals With Bipolar Disorder - Full Study
NCT00746343
Treatment of Geriatric Bipolar Mood Disorders: A Pilot Study
NCT00177567
BezafibrateTreatment for Bipolar Depression: A Proof of Concept Study
NCT02481245
Safety Study of Depakote Versus Lithium in African Americans With Bipolar Disorder
NCT01075126
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Also known as manic-depressive illness, bipolar disorder is a recurrent and chronic mental condition associated with substantial morbidity and mortality. The stigma associated with open recognition of this disorder decreases the likelihood of accurate diagnosis and treatment. Considering the impact of this disorder on the most vulnerable populations (youth, elderly, rural populations, and minorities), the challenge is to understand and reverse the current public health crisis. This crisis has created an enormous financial burden on the health, welfare, and disability systems. At the same time, it reduces the likelihood of economic and social productivity that can be achieved by potentially productive individuals.
The primary objective of the study is to test an intervention to reduce health disparities related to bipolar disorder, a vastly more destructive and difficult to treat condition than previously realized. The outcomes of interest include accurate and timely diagnosis, adequacy of prescribed treatment, retention in treatment, suicidality, and a range of treatment benefits including health-related quality of life, employment, treatment satisfaction, medication adherence, utilization of lower levels of intervention (e.g., outpatients versus partial or inpatient care), and reduction of substance use, medical morbidity and mortality. Particular attention has been paid to the collection of service utilization data to track key health care and social services. Costs for medical and psychiatric treatment, medications, inpatient, rehabilitation, and emergency room services are being ascertained for cost assessment, and patients' mood functioning is being tracked to assess the overall effectiveness of the interventions. The study is also using state-of-the-art assessments of phenotypic clinical variables to develop clinically meaningful predictors of treatment response across the age spectrum and across diverse racial groups.
To characterize more precisely the phenotypic complexity of this disorder, we have developed a spectrum model of psychiatric illness using a broader conceptualization of mood disorders and an integrated view of common comorbidities, anchored in the Mood and Anxiety Spectrum Assessments (Cassano et al. 1997; Cassano et al in press). This refined description of patient variability (or phenotypes) should lead to improved understanding of the variability in treatment outcomes among patients suffering from bipolar disorder and eventually to creating appropriate first-line treatments for patients who present with specific clinical phenotypes.
Careful consideration of biological phenotypes, as represented in population pharmacokinetics, turns a second line of attack on the problem of tailoring treatments to patients' specific needs. A key correlate of treatment response that has never been examined in bipolar disorder is consistent and adequate medication exposure. Essential to understanding variability in treatment response is being able to distinguish true non-responders from those who never received adequate exposure to drug. Consistency of drug exposure can be determined using a combination of electronic monitoring of drug-taking and population pharmacokinetic analysis.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
RANDOMIZED
PARALLEL
TREATMENT
NONE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Enhanced Clinical Intervention
Enhanced Clinical Intervention
mood stabilizer
Clinical Intervention
mood stabilizer
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Enhanced Clinical Intervention
mood stabilizer
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Able to give basic informed consent.
* Meets DSM-IV Criteria for Bipolar I, Bipolar II (if in the investigator's judgment long term treatment with a mood stabilizer is indicated), Bipolar NOS, or Schizoaffective Bipolar subtype.
* Because many adolescents have shorter periods of mania or hypomania than those required by the DSM-IV (at least 4 days for hypomania and 7 days for mania) adolescents are included who have a current episode of MDD and a history of episodes mania/hypomania that lasted for at least 2 days.
Exclusion Criteria
* Not competent to provide informed consent in the opinion of the investigator.
* Mental retardation (IQ less than 70). Subjects suspected of mental retardation (e.g., chronic academic failure, multiple developmental delays) are evaluated using the Verbal Subtest of the Wechsler Intelligence test.
* Presence of schizophrenia, schizoaffective pervasive developmental disorder, current substance or alcohol dependence, and organic mental disorder. Substance dependence in early remission is not an exclusion criterion.
* Unstable medical illness or other medical contraindication to treatment with mood stabilizers, antidepressants or antipsychotic medications.
* Women who are planning to become pregnant, pregnant or breast-feeding.
12 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Bristol-Myers Squibb
INDUSTRY
Abbott
INDUSTRY
GlaxoSmithKline
INDUSTRY
Pfizer
INDUSTRY
Eli Lilly and Company
INDUSTRY
Kupfer, David J., M.D.
INDIV
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
David J Kupfer, MD
Role: PRINCIPAL_INVESTIGATOR
University of Pittsburgh Medical Center, Western Psychiatric Institute and Clinic
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
DuBois Regional Medical Center
DuBois, Pennsylvania, United States
Thomas Jefferson University University
Philadelphia, Pennsylvania, United States
University of Pittsburgh Medical Center, Western Psychiatric Institute and Clinic
Pittsburgh, Pennsylvania, United States
Countries
Review the countries where the study has at least one active or historical site.
References
Explore related publications, articles, or registry entries linked to this study.
Fagiolini A, Frank E, Turkin S, Houck PR, Soreca I, Kupfer DJ. Metabolic syndrome in patients with bipolar disorder. J Clin Psychiatry. 2008 Apr;69(4):678-9. doi: 10.4088/jcp.v69n0423c. No abstract available.
Related Links
Access external resources that provide additional context or updates about the study.
Click here for more information about this study: Bipolar Disorder Center for Pennsylvanians research study
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
SAP# 4100010612
Identifier Type: -
Identifier Source: secondary_id
ME# 02-385
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.