Anna Van Meter

Meta-analysis of epidemiologic studies of pediatric bipolar disorder

OBJECTIVE Meta-analyze all published epidemiologic studies reporting pediatric mania or bipolar disorder to investigate whether pediatric bipolar disorder is becoming more prevalent and whether rates vary significantly by country. DATA SOURCES Searches of PubMed and PsycInfo were conducted through the spring of 2010 using the following search terms: child, pediatric, young, adolescent, epidemiology, prevalence, bipolar, mania, suicide, and psychiatric. We also manually reviewed references in recent reviews of epidemiology of bipolar disorder. STUDY SELECTION All studies reporting rates for mania or hypomania in community epidemiologic samples with participants up to 21 years of age. DATA EXTRACTION All articles were coded to extract relevant variables. Prevalence rates were calculated from reported number of cases with bipolar disorders, then logit transformed. Twelve studies were included, enrolling 16,222 youths between the ages of 7 and 21 years during a period from 1985 to 2007. Six samples were from the United States; 6 were from other countries (the Netherlands, the United Kingdom, Spain, Mexico, Ireland, and New Zealand). RESULTS The overall rate of bipolar disorder was 1.8% (95% CI, 1.1%-3.0%). There was no significant difference in the mean rates between US and non-US studies, but the US studies had a wider range of rates. The highest estimates came from studies that used broad definitions and included bipolar disorder not otherwise specified. Year of enrollment was negatively correlated with prevalence (r = -0.04) and remained nonsignificant when controlling for study methodological differences. CONCLUSIONS Mean rates of bipolar disorder were higher than commonly acknowledged and not significantly different in US compared to non-US samples, nor was there evidence of an increase in rates of bipolar disorder in the community over time. Differences in diagnostic criteria were a main driver of different rates across studies.

Clinical Decision Making About Child and Adolescent Anxiety Disorders Using the Achenbach System of Empirically Based Assessment

Anxiety disorders are common among children but can be difficult to diagnose. An actuarial approach to the diagnosis of anxiety may improve the efficiency and accuracy of the process. The objectives of this study were to determine the clinical utility of the Achenbach Child Behavior Checklist (CBCL) and Youth Self Report (YSR), two widely used assessment tools, for diagnosing anxiety disorders in youth and to aid clinicians in incorporating scale scores into an actuarial approach to diagnosis through a clinical vignette. Demographically diverse youth, 5 to 18 years of age, were drawn from two samples; one (N = 1,084) was recruited from a research center, and the second (N = 651) was recruited from an urban community mental health center. Consensus diagnoses integrated information from semistructured interview, family history, treatment history, and clinical judgment. The CBCL and YSR internalizing problems T scores discriminated cases with any anxiety disorder or with generalized anxiety disorder from all other diagnoses in both samples (ps < .0005); the two scales had equivalent discriminative validity (ps > .05 for tests of difference). No other scales, nor any combination of scales, significantly improved on the performance of the Internalizing scale. In the highest risk group, Internalizing scores greater than 69 (CBCL) or greater than 63 (YSR) resulted in a Diagnostic Likelihood Ratio of 1.5; low scores reduced the likelihood of anxiety disorders by a factor of 4. Combined with other risk factor information in an actuarial approach to assessment and diagnosis, the CBCL and YSR Internalizing scales provide valuable information about whether a youth is likely suffering from an anxiety disorder.

Cyclothymic disorder: A critical review☆☆☆

Cyclothymic disorder is a subtype of bipolar disorder included in the Diagnostic and Statistical Manual of Mental Disorders since 1980, but largely neglected in research. Additionally, it is rarely diagnosed clinically, in spite of evidence that it may be the most prevalent form of bipolar disorder. Neglect has contributed to confusion about the diagnosis and clinical presentation of cyclothymic disorder. Its status as a mood disorder is also ambiguous due to overlap in terminology and symptoms with temperament and personality disorders. Subthreshold bipolar disorder appears more prevalent among young people than previously thought, and follows a range of trajectories from remission to escalation-raising questions about risk factors and traits associated with the varied course. Cyclothymic disorder may be an important diathesis for major mood disorders. Constructs such as cyclothymic disorder link major mood disorder and peri-clinical fluctuations of mood, thus warranting a prominent role in dimensional models of mood and psychopathology. Current evidence indicates that cyclothymic disorder is a prevalent and highly impairing disorder on the bipolar spectrum, with the potential to make unique contributions to our understanding of the risk factors and outcomes associated with bipolar disorder. The inclusion of cyclothymic disorder in future research studies is essential to accurate diagnosis and effective treatment for the full spectrum of bipolar disorder, as well as understanding the developmental trajectory of bipolar spectrum disorders.

Examining the validity of cyclothymic disorder in a youth sample

BACKGROUND Four subtypes of bipolar disorder (BP) - bipolar I, bipolar II, cyclothymia and bipolar not otherwise specified (NOS) - are defined in DSM-IV-TR. Though the diagnostic criteria for each subtype are intended for both adults and children, research investigators and clinicians often stray from the DSM when diagnosing pediatric bipolar disorder (PBD) (Youngstrom, 2009), resulting in a lack of agreement and understanding regarding the PBD subtypes. METHODS The present study uses the diagnostic validation method first proposed by Robins and Guze (1970) to systematically evaluate cyclothymic disorder as a distinct diagnostic subtype of BP. Using a youth (ages 5-17) outpatient clinical sample (n=827), participants with cyclothymic disorder (n=52) were compared to participants with other BP spectrum disorders and to participants with non-bipolar disorders. RESULTS Results indicate that cyclothymic disorder shares many characteristics with other bipolar subtypes, supporting its inclusion on the bipolar spectrum. Additionally, cyclothymia could be reliably differentiated from non-mood disorders based on irritability, sleep disturbance, age of symptom onset, comorbid diagnoses, and family history. LIMITATIONS There is little supporting research on cyclothymia in young people; these analyses may be considered exploratory. Gaps in this and other studies are highlighted as areas in need of additional research. CONCLUSIONS Cyclothymic disorder has serious implications for those affected. Though it is rarely diagnosed currently, it can be reliably differentiated from other disorders in young people. Failing to accurately diagnose cyclothymia, and other subthreshold forms of bipolar disorder, contributes to a significant delay in appropriate treatment and may have serious prognostic implications.

The bipolar spectrum: myth or reality?

The idea of a “bipolar spectrum” is controversial due to 1) lack of widely accepted definitions, 2) concern that spectrum definitions might subsume cases with non-bipolar disorders, 3) worry that “diagnostic creep” may lead practitioners to overdiagnose bipolar disorder in marginal cases, and 4) worry that more diagnosis of bipolar spectrum may increase aggressive pharmacotherapy. These concerns are weighed against theoretical and empiric evidence converging in support of the bipolar spectrum as having prognostic and prescriptive validity. Practitioners can use inexpensive and practical strategies to incorporate the spectrum concept into their work while minimizing risks of overdiagnosis or unnecessary medication exposure.

Examining the Validity of Cyclothymic Disorder in a Youth Sample: Replication and Extension

DSM-IV-TR defines four subtypes of bipolar disorder (BP): bipolar I, bipolar II, cyclothymic disorder and bipolar not otherwise specified (NOS). However, cyclothymic disorder in children is rarely researched, or often subsumed in an “NOS” category. The present study tests the replicability of findings from an earlier study, and expands on the criterion validity of cyclothymic disorder in youth. Using the Robins and Guze (1970) framework we examined the validity of cyclothymic disorder as a subtype of BP. Using a youth (ages 5–17) outpatient clinical sample (N = 894), participants with cyclothymic disorder (n = 53) were compared to participants with other BP spectrum disorders (n = 399) and to participants with non-bipolar disorders (n = 442). Analyses tested differences in youth with cyclothymic disorder and bipolar disorder not otherwise specified who do, and those who do not, have a parent with BP. Compared to youth with non-bipolar disorders, youth with cyclothymic disorder had higher irritability (p < 0.001), more comorbidity (p < 0.001), greater sleep disturbance (p < 0.005), and were more likely to have a family history of BP (p < 0.001). Cyclothymic disorder was associated with a younger age of onset compared to depression (p < 0.001) and bipolar II (p = 0.05). Parental BP status was not significantly associated with any variables. Results support that cyclothymic disorder belongs on the bipolar spectrum. Epidemiological studies indicate that cyclothymic disorder is not uncommon and involves significant impairment. Failing to differentiate between cyclothymic disorder and bipolar NOS limits our knowledge about a significant proportion of cases of bipolarity.

Cognitive and family correlates of current suicidal ideation in children with bipolar disorder.

BACKGROUND Suicidality among youth with bipolar disorder is an extreme, but largely unaddressed, public health problem. The current study examined the psychosocial characteristics differentiating youth with varying severities of suicidal ideation that may dictate targets for suicide prevention interventions. METHODS Participants included 72 youth aged 7-13 (M=9.19, SD=1.61) with DSM-IV-TR bipolar I, II, or NOS and a parent/caregiver. Current suicidal ideation and correlates were assessed at intake, including: demographics and clinical factors (diagnosis, symptom severity, psychiatric comorbidity); child factors (cognitive risk and quality of life); and family factors (parenting stress, family cohesion, and family rigidity). RESULTS Current ideation was prevalent in this young sample: 41% endorsed any ideation, and 31% endorsed active forms. Depression symptoms, quality of life, hopelessness, self-esteem, and family rigidity differentiated youth with increasing ideation severity. Separate logistic regressions examined all significant child- and family-level factors, controlling for demographic and clinical variables. Greater family rigidity and lower self-esteem remained significant predictors of current planful ideation. Diagnosis, index episode, comorbidity, and mania severity did not differentiate non-ideators from those with current ideation. LIMITATIONS Limitations include the small sample to examine low base-rate severe ideation, cross-sectional analyses and generalizability of findings beyond the outpatient clinical sample. CONCLUSIONS Findings underscore the importance of assessing and addressing suicidality in preadolescent youth with bipolar disorder, before youth progress to more severe suicidal behaviors. Results also highlight child self-esteem and family rigidity as key treatment targets to reduce suicide risk in pediatric bipolar disorder.

The International Society for Bipolar Disorders Task Force report on pediatric bipolar disorder: Knowledge to date and directions for future research.

Objectives Over the past two decades, there has been tremendous growth in research regarding bipolar disorder (BD) among children and adolescents (ie, pediatric BD [PBD]). The primary purpose of this article is to distill the extant literature, dispel myths or exaggerated assertions in the field, and disseminate clinically relevant findings. Methods An international group of experts completed a selective review of the literature, emphasizing areas of consensus, identifying limitations and gaps in the literature, and highlighting future directions to mitigate these gaps. Results Substantial, and increasingly international, research has accumulated regarding the phenomenology, differential diagnosis, course, treatment, and neurobiology of PBD. Prior division around the role of irritability and of screening tools in diagnosis has largely abated. Gold‐standard pharmacologic trials inform treatment of manic/mixed episodes, whereas fewer data address bipolar depression and maintenance/continuation treatment. Adjunctive psychosocial treatment provides a forum for psychoeducation and targets primarily depressive symptoms. Numerous neurocognitive and neuroimaging studies, and increasing peripheral biomarker studies, largely converge with prior findings from adults with BD. Conclusions As data have accumulated and controversy has dissipated, the field has moved past existential questions about PBD toward defining and pursuing pressing clinical and scientific priorities that remain. The overall body of evidence supports the position that perceptions about marked international (US vs elsewhere) and developmental (pediatric vs adult) differences have been overstated, although additional research on these topics is warranted. Traction toward improved outcomes will be supported by continued emphasis on pathophysiology and novel therapeutics.

Diagnostic Efficiency of Caregiver Report on the SCARED for Identifying Youth Anxiety Disorders in Outpatient Settings

This study investigated the diagnostic and clinical utility of the parent-rated Screen for Child Anxiety Related Emotional Disorders (SCARED-P) for detecting youth anxiety disorders. Youth ages 6 to 12 years, 11 months were recruited from 9 outpatient mental health clinics (N = 707). Consensus diagnoses were based on semistructured interviews (Schedule for Affective Disorders and Schizophrenia for School-Age Children) with youth and caregivers; 31% were diagnosed with at least one anxiety disorder. Caregivers completed the SCARED-P to describe youth anxiety levels. SCARED-P scores were not considered during the consensus diagnoses. Areas under the curve (AUCs) from receiver operating characteristic analyses and diagnostic likelihood ratios (DLRs) quantified performance of the SCARED-P total score and subscale scores (generalized anxiety disorder and separation anxiety disorder). SCARED-P total scores had variable efficiency (AUCs = .69–.88), and Generalized Anxiety Disorder and Separation Anxiety subscale scores were excellent (AUCs = .86–.89) for identifying specific anxiety disorders. Optimal subscale cutoff scores were computed to help rule in (DLRs = 2.7–5.4) or rule out (DLRs < 1.0) anxiety disorders among youth. Results suggest that the Generalized Anxiety Disorder and Separation Anxiety SCARED-P subscales accurately identify their respective matched diagnoses. DLRs may aid clinicians in screening for youth anxiety disorders and improve accuracy of diagnosis.

Stress Response to the Functional Magnetic Resonance Imaging Environment in Healthy Adults Relates to the Degree of Limbic Reactivity during Emotion Processing

Background: Imaging techniques are increasingly being used to examine the neural correlates of stress and emotion processing; however, relations between the primary stress hormone cortisol, the functional magnetic resonance imaging (fMRI) environment, and individual differences in response to emotional challenges are not yet well studied. The present study investigated whether cortisol activity prior to, and during, an fMRI scan may be related to neural processing of emotional information. Methods: Twenty-six healthy individuals (10 female) completed a facial emotion perception test during 3-tesla fMRI. Results: Prescan cortisol was significantly correlated with enhanced amygdala, hippocampal, and subgenual cingulate reactivity for facial recognition. Cortisol change from pre- to postscanning predicted a greater activation in the precuneus for both fearful and angry faces. A negative relationship between overall face accuracy and activation in limbic regions was observed. Conclusion: Individual differences in response to the fMRI environment might lead to a greater heterogeneity of brain activation in control samples, decreasing the power to detect differences between clinical and comparison groups.