Dataset Information

Bipolar At-Risk Criteria: An Examination of Which Clinical Features Have Optimal Utility for Identifying Youth at Risk of Early Transition From Depression to Bipolar Disorders.

ABSTRACT:

Background

A clinical and research challenge is to identify which depressed youth are at risk of "early transition to bipolar disorders (ET-BD)." This 2-part study (1) examines the clinical utility of previously reported BD at-risk (BAR) criteria in differentiating ET-BD cases from unipolar depression (UP) controls; and (2) estimates the Number Needed to Screen (NNS) for research and general psychiatry settings.

Methods

Fifty cases with reliably ascertained, ET-BD I and II cases were matched for gender and birth year with 50 UP controls who did not develop BD over 2 years. We estimated the clinical utility for finding true cases and screening out non-cases for selected risk factors and their NNS. Using a convenience sample (N = 80), we estimated the NNS when adjustments were made to account for data missing from clinical case notes.

Results

Sub-threshold mania, cyclothymia, family history of BD, atypical depression symptoms and probable antidepressant-emergent elation, occurred significantly more frequently in ET-BD youth. Each of these "BAR-Depression" criteria demonstrated clinical utility for screening out non-cases. Only cyclothymia demonstrated good utility for case finding in research settings; sub-threshold mania showed moderate utility. In the convenience sample, the NNS for each criterion ranged from ~4 to 7.

Conclusions

Cyclothymia showed the optimum profile for case finding, screening and NNS in research settings. However, its presence or absence was only reported in 50% of case notes. Future studies of ET-BD instruments should distinguish which criteria have clinical utility for case finding vs screening.

SUBMITTER: Scott J

PROVIDER: S-EPMC5472157 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature

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Publications

Bipolar At-Risk Criteria: An Examination of Which Clinical Features Have Optimal Utility for Identifying Youth at Risk of Early Transition From Depression to Bipolar Disorders.

Scott Jan J Marwaha Steven S Ratheesh Aswin A Macmillan Iain I Yung Alison R AR Morriss Richard R Hickie Ian B IB Bechdolf Andreas A

Schizophrenia bulletin 20170701 4

<h4>Background</h4>A clinical and research challenge is to identify which depressed youth are at risk of "early transition to bipolar disorders (ET-BD)." This 2-part study (1) examines the clinical utility of previously reported BD at-risk (BAR) criteria in differentiating ET-BD cases from unipolar depression (UP) controls; and (2) estimates the Number Needed to Screen (NNS) for research and general psychiatry settings.<h4>Methods</h4>Fifty cases with reliably ascertained, ET-BD I and II cases w ...[more]

PMID: 27872258

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Project description:ObjectiveTo examine the utility of psychotherapy in managing treatment resistant depression.Data sourcesPubMed, PsycInfo, Embase, Cochrane Registry of Controlled Clinical Trials, article bibliographies.Review methodsEligible articles had to be in English and include English-speaking adult outpatients from general medical or mental health clinics. Studies had to be randomized clinical trials (RCT) involving at least one of the following psychotherapy modalities: cognitive therapy, interpersonal therapy, or behavior therapy. Patients were considered treatment resistant if they reported partial or no remission following treatment with an adequate antidepressant dose for ≥ 6 weeks. Exclusion criteria included receiving psychotherapy at the time of recruitment, and/or comorbid psychiatric conditions unlikely to be treated outside of specialized mental health care (e.g., severe substance abuse). Due to heterogeneity in study designs, a summary estimate of effect was not calculated. Studies were critically analyzed and a qualitative synthesis was conducted.ResultsOf 941 original titles, 13 articles evaluating 7 unique treatment comparisons were included. Psychotherapy was examined as an augmentation to antidepressants in five studies and as substitution treatment in two studies. A total of 592 patients were evaluated (Mean age ~40 y; Females = 50-85%; Caucasians ≥ 75%). The STAR*D trial used an equipoise stratified randomization design; the remaining studies were RCTs. Compared to active management, two good quality trials showed similar benefit from augmenting antidepressants with psychotherapy; one fair quality and one poor quality trial showed benefit from psychotherapy augmentation; and one good and one poor trial found similar benefit from substituting psychotherapy for antidepressants. One fair quality trial showed lithium augmentation to be more beneficial than psychotherapy.ConclusionsReview demonstrates the utility of psychotherapy in managing treatment resistant depression. However, evidence is sparse and results are mixed. Given that quality trials are lacking, rigorous clinical trials are recommended to guide practice. In the interim, primary care providers should consider psychotherapy when treating patients with treatment resistant depression.

Project description:OBJECTIVE:Depression and brief periods of manic symptoms are linked to a significant risk of progression to bipolar disorder (BD) in children who have a first-degree relative with BD I or II. However, little evidence exists to guide the pharmacologic management of children with these high-risk phenotypes. We propose a pharmacological treatment algorithm for high-risk youth and present results on its use in a study of children with a first-degree relative with BD. METHODS:Subjects were 40 youth (mean 12.7 years, range 9-17 years) who had (1) a first-degree relative with lifetime history of BD I or II, (2) DSM-IV-TR diagnoses of BD not otherwise specified, major depressive disorder or cyclothymic disorder, and (3) active symptoms of depression, mania, or hypomania. Participants and their families were enrolled in a randomized trial examining the effects of two psychosocial interventions on the 1-year course of mood disorder. At study intake, participants received a psychiatric evaluation and were offered medications or had existing medications optimized to decrease symptom severity. During the 1-year study, psychiatrists treated participants using a medication algorithm to treat depressive or manic symptoms as well as comorbid anxiety and/or attention-deficit/hyperactivity disorder. RESULTS:At study entry, 25 of 40 (62.5%) of the participants were taking at least one psychiatric medication. At 1 year, nearly an identical proportion were taking medications (22 of 35, 63%). Independent ratings indicated that in 84.7% of the study visits, physicians maintained adherence to the algorithm. No patients experienced antidepressant- or stimulant-induced mania during the study. CONCLUSIONS:An algorithmic approach to pharmacologic interventions may aid in the management of youth (i.e., age <18) at high risk for BD. Future studies should compare outcomes in high-risk patients receiving algorithm-prescribed treatment versus those receiving treatment as usual. CLINICAL TRIAL REGISTRATION INFORMATION:Early Family-Focused Treatment for Youth at Risk for Bipolar Disorder; www.clinicaltrials.gov/ ; NCT00943085.

Dataset Information

Bipolar At-Risk Criteria: An Examination of Which Clinical Features Have Optimal Utility for Identifying Youth at Risk of Early Transition From Depression to Bipolar Disorders.

Background

Methods

Results

Conclusions

Publications

Bipolar At-Risk Criteria: An Examination of Which Clinical Features Have Optimal Utility for Identifying Youth at Risk of Early Transition From Depression to Bipolar Disorders.

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