The stability and persistence of symptoms in childhood-onset ADHD.

The course of childhood-onset attention deficit hyperactivity disorder (ADHD) varies across individuals; some will experience persistent symptoms while others' symptoms fluctuate or remit. We describe the longitudinal course of ADHD symptoms and associated clinical characteristics in adolescents with childhood-onset ADHD. Participants (aged 6-12 at baseline) from the Longitudinal Assessment of Manic Symptoms (LAMS) study who met DSM criteria for ADHD prior to age 12 were evaluated annually with the Kiddie Schedule for Affective Disorders and Schizophrenia for eight years. At each timepoint, participants were categorized as meeting ADHD criteria, subthreshold criteria, or not having ADHD. Stability of course was defined by whether participants experienced consistent ADHD symptoms, fluctuating symptoms, or remission. The persistence of the symptoms was defined by symptom status at the final two follow-ups (stable ADHD, stable remission, stable partial remission, unstable). Of 685 baseline participants, 431 had childhood-onset ADHD and at least two follow-ups. Half had a consistent course of ADHD, nearly 40% had a remitting course, and the remaining participants had a fluctuating course. More than half of participants met criteria for ADHD at the end of their participation; about 30% demonstrated stable full remission, 15% had unstable symptoms, and one had stable partial remission. Participants with a persistent course and stable ADHD outcome reported the highest number of symptoms and were most impaired. This work builds on earlier studies that describe fluctuating symptoms in young people with childhood-onset ADHD. Results emphasize the importance of ongoing monitoring and detailed assessment of factors likely to influence course and outcome to help young people with childhood-onset ADHD.

Quality of the therapeutic working alliance as a factor in intensive residential treatment of obsessive-compulsive disorder.

OBJECTIVE: Intensive residential treatment (IRT) for obsessive-compulsive disorder (OCD) includes frequent meetings with a cognitive-behavioral therapist. We examined whether this therapeutic working alliance relates to IRT outcomes. METHOD: Data came from a naturalistic sample of patients with OCD (n = 124) who received IRT at a specialty OCD clinic. Patients completed measures of OCD severity and well-being at admission and discharge. Both the patient and treating psychologist completed the Working Alliance Inventory-Short Form (WAI-SF). Alliance ratings were tested as predictors in models predicting outcomes (discharge scores adjusting for baseline and treatment duration) as well as logistic regression predicting treatment response (≥35% symptom reduction in OCD symptoms). RESULTS: Patient and clinician ratings of the quality of the alliance were weakly yet significantly correlated. Patient ratings of the alliance predicted outcomes, while therapist ratings did not. Moreover, greater discrepancy between patient and client ratings predicted worse outcomes. Patient ratings of the task dimension of the alliance uniquely related to responder status. CONCLUSIONS: Patient perceptions of the working alliance, particularly as pertaining to agreement on therapeutic tasks, related to success with IRT for OCD. Further study is needed test interventions to improve task alliance as a strategy to enhance treatment.

Systematic Review and Meta-analysis: International Prevalence of Suicidal Ideation and Attempt in Youth.

OBJECTIVE: Globally, rates of youth suicide vary considerably. Suicidal thoughts and behaviors (STB) are consistently associated with risk of death by suicide. However, international trends in STB have not yet been compared. To address this gap, an international meta-analysis of epidemiological and school-based studies that report on STB in youth was conducted. METHOD: Systematic searches were conducted in PubMed and PsycINFO through April 2022. Eligible studies included prevalence of active suicidal ideation (SI) or suicide attempts (SA) in community youth younger than age 22. All studies were coded by 2 authors. Mixed models accounting for shared methods and including hypothesized moderators were conducted using the metafor package in R. RESULTS: There were 371 effect sizes for SI, 94 for SI with a plan, and 316 for SA, representing 149 regions. Year of data collection ranged from 1981 to 2021. Participants were 6 to 21 years old. The prevalence of SI ranged across regions from 14.3% to 22.6%; the prevalence of SA ranged from 4.6% to 15.8%. Year was not associated with increasing STB prevalence except for studies from the United States, which showed increasing rates of SI and SA since 2007. CONCLUSION: This is the most comprehensive meta-analysis of STB in youth, providing valuable data about how risk factors most commonly associated with suicide vary internationally and over time. International rates of STB among youth are not improving and may be getting worse in the United States, despite efforts to reduce suicide risk. Most studies did not report rates of SI or SA separately for LGBTQIA+ (lesbian, gay, bisexual, transgender, queer, intersex, asexual, and others) youth and youth of color. A better understanding of proximal risk at the individual level will be important to informing future prevention efforts, especially for high-risk groups.

Clinician Perspectives on Using Computational Mental Health Insights From Patients' Social Media Activities: Design and Qualitative Evaluation of a Prototype.

BACKGROUND: Previous studies have suggested that social media data, along with machine learning algorithms, can be used to generate computational mental health insights. These computational insights have the potential to support clinician-patient communication during psychotherapy consultations. However, how clinicians perceive and envision using computational insights during consultations has been underexplored. OBJECTIVE: The aim of this study is to understand clinician perspectives regarding computational mental health insights from patients' social media activities. We focus on the opportunities and challenges of using these insights during psychotherapy consultations. METHODS: We developed a prototype that can analyze consented patients' Facebook data and visually represent these computational insights. We incorporated the insights into existing clinician-facing assessment tools, the Hamilton Depression Rating Scale and Global Functioning: Social Scale. The design intent is that a clinician will verbally interview a patient (eg, How was your mood in the past week?) while they reviewed relevant insights from the patient's social media activities (eg, number of depression-indicative posts). Using the prototype, we conducted interviews (n=15) and 3 focus groups (n=13) with mental health clinicians: psychiatrists, clinical psychologists, and licensed clinical social workers. The transcribed qualitative data were analyzed using thematic analysis. RESULTS: Clinicians reported that the prototype can support clinician-patient collaboration in agenda-setting, communicating symptoms, and navigating patients' verbal reports. They suggested potential use scenarios, such as reviewing the prototype before consultations and using the prototype when patients missed their consultations. They also speculated potential negative consequences: patients may feel like they are being monitored, which may yield negative effects, and the use of the prototype may increase the workload of clinicians, which is already difficult to manage. Finally, our participants expressed concerns regarding the prototype: they were unsure whether patients' social media accounts represented their actual behaviors; they wanted to learn how and when the machine learning algorithm can fail to meet their expectations of trust; and they were worried about situations where they could not properly respond to the insights, especially emergency situations outside of clinical settings. CONCLUSIONS: Our findings support the touted potential of computational mental health insights from patients' social media account data, especially in the context of psychotherapy consultations. However, sociotechnical issues, such as transparent algorithmic information and institutional support, should be addressed in future endeavors to design implementable and sustainable technology.

Internet Search Activity of Young People With Mood Disorders Who Are Hospitalized for Suicidal Thoughts and Behaviors: Qualitative Study of Google Search Activity.

BACKGROUND: Little is known about the internet search activity of people with suicidal thoughts and behaviors (STBs). This data source has the potential to inform both clinical and public health efforts, such as suicide risk assessment and prevention. OBJECTIVE: We aimed to evaluate the internet search activity of suicidal young people to find evidence of suicidal ideation and behavioral health-related content. METHODS: Individuals aged between 15 and 30 years (N=43) with mood disorders who were hospitalized for STBs provided access to their internet search history. Searches that were conducted in the 3-month period prior to hospitalization were extracted and manually evaluated for search themes related to suicide and behavioral health. RESULTS: A majority (27/43, 63%) of participants conducted suicide-related searches. Participants searched for information that exactly matched their planned or chosen method of attempting suicide in 21% (9/43) of cases. Suicide-related search queries also included unusual suicide methods and references to suicide in popular culture. A majority of participants (33/43, 77%) had queries related to help-seeking themes, including how to find inpatient and outpatient behavioral health care. Queries related to mood and anxiety symptoms were found among 44% (19/43) of participants and included references to panic disorder, the inability to focus, feelings of loneliness, and despair. Queries related to substance use were found among 44% (19/43) of participants. Queries related to traumatic experiences were present among 33% (14/43) of participants. Few participants conducted searches for crisis hotlines (n=3). CONCLUSIONS: Individuals search the internet for information related to suicide prior to hospitalization for STBs. The improved understanding of the search activity of suicidal people could inform outreach, assessment, and intervention strategies for people at risk. Access to search data may also benefit the ongoing care of suicidal patients.

Pramipexole to Improve Cognition in Bipolar Disorder: A Randomized Controlled Trial.

BACKGROUND: Adults with bipolar disorder (BD) often experience neurocognitive impairment that negatively impacts functioning and quality of life. Previous trials have found that dopamine agonist agents improve cognition in healthy volunteers and that adults with BD who have stable mood and mild cognitive deficits may also benefit. We hypothesized that pramipexole, a dopamine agonist, would improve neurocognitive function in patients with BD. METHODS: We recruited 60 adults (aged 18-65 years) with a diagnosis of BD I or II for an 8-week, double-blind, placebo-controlled trial (NCT02397837). All had stable mood and clinically significant neurocognitive impairment at baseline. Participants were randomized to receive pramipexole (n = 31) or a placebo (n = 29), dose was initiated at 0.125 mg 2 times a day and increased to a target of 4.5 mg/d. RESULTS: At trial end, the primary outcome, MATRICS Consensus Cognitive Battery composite score, had not improved more in the pramipexole group (mean [SD] = 1.15 [5.4]) than in the placebo group (mean [SD] = 4.12 [5.2], Cohen's d = 0.56, P = 0.049), and mixed models, controlling for symptoms, showed no association between treatment group and MATRICS Consensus Cognitive Battery scores. No serious adverse events were reported. CONCLUSIONS: These results suggest that pramipexole is not an efficacious cognitive enhancement agent in BD, even in a sample enriched for characteristics that were associated with a beneficial response in prior work. There are distinct cognitive subgroups among adults with BD and may be related differences in neurobiology that affect response to pramipexole. Additional research to better understand the onset and nature of the cognitive deficits in people with BD will be an important step toward a more personalized approach to treatment.

Generalizing the Prediction of Bipolar Disorder Onset Across High-Risk Populations.

OBJECTIVE: Risk calculators (RC) to predict clinical outcomes are gaining interest. An RC to estimate risk of bipolar spectrum disorders (BPSD) could help reduce the duration of undiagnosed BPSD and improve outcomes. Our objective was to adapt an RC previously validated in the Pittsburgh Bipolar Offspring Study (BIOS) sample to achieve adequate predictive ability in both familial high-risk and clinical high-risk youths. METHOD: Participants (aged 6-12 years at baseline) from the Longitudinal Assessment of Manic Symptoms (LAMS) study (N = 473) were evaluated semi-annually. Evaluations included a Kiddie Schedule for Affective Disorders (K-SADS) interview. After testing an RC that closely approximated the original, we made modifications to improve model prediction. Models were trained in the BIOS data, which included biennial K-SADS assessments, and tested in LAMS. The final model was then trained in LAMS participants, including family history of BPSD as a predictor, and tested in the familial high-risk sample. RESULTS: Over follow-up, 65 youths newly met criteria for BPSD. The original RC identified youths who developed BPSD only moderately well (area under the curve [AUC] = 0.67). Eliminating predictors other than the K-SADS screening items for mania and depression improved accuracy (AUC = 0.73) and generalizability. The model trained in LAMS, including family history as a predictor, performed well in the BIOS sample (AUC = 0.74). CONCLUSION: The clinical circumstances under which the assessment of symptoms occurs affects RC accuracy; focusing on symptoms related to the onset of BPSD improved generalizability. Validation of the RC under clinically realistic circumstances will be an important next step.

Evidence Base Update on Assessing Sleep in Youth.

BACKGROUND: Sleep is vital to youth well-being and when it becomes disturbed - whether due to environmental or individual factors - mental and physical health suffer. Sleep problems can also be a symptom of underlying mental health disorders. Assessing different components of sleep, including quality and hygiene, can be useful both for identifying mental health problems and for measuring changes in well-being over time. However, there are dozens of sleep-related measures for youth and it can be difficult to determine which to select for a specific research or clinical purpose. The goal of this review was to identify sleep-related measures for clinical and/or research use in youth mental health settings, and to update the evidence base on this topic. METHOD: We generated a list of candidate measures based on other reviews and searched in PubMed and PsycINFO using the terms "sleep" AND (measure OR assessment OR questionnaire) AND (psychometric OR reliability OR validity). Search results were limited to studies about children and adolescents (aged 2-17) published in English. Additional criteria for inclusion were that there had to be at least three publications reporting on the measure psychometrics in community or mental health populations. Sleep measures meeting these criteria were evaluated using the criteria set by De Los Reyes and Langer (2018). RESULTS: Twenty-six measures, across four domains of sleep - insomnia, sleep hygiene, sleepiness, sleep quality - met inclusion criteria. Each measure had at least adequate clinical utility. No measure(s) emerged as superior across psychometric domains. CONCLUSION: Clinicians and researchers must evaluate sleep measures for each use case, as the intended purpose will dictate which measure is best. Future research is necessary to evaluate measure performance in transdiagnostic mental health populations, including youth with serious mental illness.

Designing a Clinician-Facing Tool for Using Insights From Patients' Social Media Activity: Iterative Co-Design Approach.

BACKGROUND: Recent research has emphasized the need for accessing information about patients to augment mental health patients' verbal reports in clinical settings. Although it has not been introduced in clinical settings, computational linguistic analysis on social media has proved it can infer mental health attributes, implying a potential use as collateral information at the point of care. To realize this potential and make social media insights actionable to clinical decision making, the gaps between computational linguistic analysis on social media and the current work practices of mental health clinicians must be bridged. OBJECTIVE: This study aimed to identify information derived from patients' social media data that can benefit clinicians and to develop a set of design implications, via a series of low-fidelity (lo-fi) prototypes, on how to deliver the information at the point of care. METHODS: A team of clinical researchers and human-computer interaction (HCI) researchers conducted a long-term co-design activity for over 6 months. The needs-affordances analysis framework was used to refine the clinicians' potential needs, which can be supported by patients' social media data. On the basis of those identified needs, the HCI researchers iteratively created 3 different lo-fi prototypes. The prototypes were shared with both groups of researchers via a videoconferencing software for discussion and feedback. During the remote meetings, potential clinical utility, potential use of the different prototypes in a treatment setting, and areas of improvement were discussed. RESULTS: Our first prototype was a card-type interface that supported treatment goal tracking. Each card included attribute levels: depression, anxiety, social activities, alcohol, and drug use. This version confirmed what types of information are helpful but revealed the need for a glanceable dashboard that highlights the trends of these information. As a result, we then developed the second prototype, an interface that shows the clinical state and trend. We found that focusing more on the changes since the last visit without visual representation can be more compatible with clinicians' work practices. In addition, the second phase of needs-affordances analysis identified 3 categories of information relevant to patients with schizophrenia: symptoms related to psychosis, symptoms related to mood and anxiety, and social functioning. Finally, we developed the third prototype, a clinical summary dashboard that showed changes from the last visit in plain texts and contrasting colors. CONCLUSIONS: This exploratory co-design research confirmed that mental health attributes inferred from patients' social media data can be useful for clinicians, although it also revealed a gap between computational social media analyses and clinicians' expectations and conceptualizations of patients' mental health states. In summary, the iterative co-design process crystallized design directions for the future interface, including how we can organize and provide symptom-related information in a way that minimizes the clinicians' workloads.

Development of bipolar disorder and other comorbidity among youth with attention-deficit/hyperactivity disorder.

OBJECTIVE: To examine development of bipolar spectrum disorders (BPSD) and other disorders in prospectively followed children with attention-deficit/hyperactivity disorder (ADHD). METHOD: In the Longitudinal Assessment of Manic Symptoms (LAMS) study, 531 of 685 children age 6-12 (most selected for scores > 12 on General Behavior Inventory 10-item Mania scale) had ADHD, 112 with BPSD, and 419 without. With annual assessments for 8 years, retention averaged 6.2 years. Chi-square analyses compared rate of new BPSD and other comorbidity between those with versus without baseline ADHD and between retained versus resolved ADHD diagnosis. Cox regression tested factors influencing speed of BPSD onset. RESULTS: Of 419 with baseline ADHD but not BPSD, 52 (12.4%) developed BPSD, compared with 16 of 110 (14.5%) without either baseline diagnosis. Those who developed BPSD had more nonmood comorbidity over the follow-up than those who did not develop BPSD (p = .0001). Of 170 who still had ADHD at eight-year follow-up (and not baseline BPSD), 26 (15.3%) had developed BPSD, compared with 16 of 186 (8.6%) who had ADHD without BPSD at baseline but lost the ADHD diagnosis (χ2  = 3.82, p = .051). There was no statistical difference in whether ADHD persisted or not across new BPSD subtypes (χ2  = 1.62, p = .446). Of those who developed BPSD, speed of onset was not significantly related to baseline ADHD (p = .566), baseline anxiety (p = .121), baseline depression (p = .185), baseline disruptive behavior disorder (p = .184), age (B = -.11 p = .092), maternal mania (p = .389), or paternal mania (B = .73, p = .056). Those who started with both diagnoses had more severe symptoms/impairment than those with later developed BPSD and reported having ADHD first. CONCLUSIONS: In a cohort selected for symptoms of mania at age 6-12, baseline ADHD was not a significant prospective risk factor for developing BPSD. However, persistence of ADHD may marginally mediate risk of BPSD, and early comorbidity of both diagnoses increases severity/impairment.

Childhood factors associated with increased risk for mood episode recurrences in bipolar disorder-A systematic review.

BACKGROUND: Bipolar Disorder (BD) is a recurrent illness associated with high morbidity and mortality. The frequency of mood episode recurrence in BD is highly heterogeneous and significantly impacts the person's psychosocial functioning and well-being. Understanding the factors associated with mood recurrences could inform the prognosis and treatment. The objective of this review is to summarize the literature on factors, present during childhood, that influence recurrence. METHODOLOGY: A systematic review of PubMed (1946-2017) and PsycINFO (1884-2017) databases was conducted to identify candidate studies. Search terms included bipolar disorder, episodes, predictors, recurrences, and course. Study characteristics, risk for bias, and factors associated with recurrence were coded by two raters according to predetermined criteria. RESULTS: Twenty child studies and 28 adult studies that retrospectively evaluated childhood variables associated with mood recurrences were included. Early age of onset, low socioeconomic status, comorbid disorders, inter-episode subsyndromal mood symptoms, BD-I/II subtypes, presence of stressors, and family history of BD were associated with higher number of recurrences. LIMITATIONS: Risk factors and mood recurrences were assessed and defined in different ways, limiting generalizability. CONCLUSION: Multiple factors are associated with increased risk of mood episode recurrence in BD. Interventions targeting modifiable factors could reduce the impact of BD. For example, treatment of comorbid disorders and subsyndromal mood symptoms, coupled with appropriate cognitive behavioral and family-focused therapies could ameliorate risk related to many clinical factors. When coupled with social services to address environmental factors, the number of episodes could be reduced and the course of BD significantly improved.

Online help-seeking prior to diagnosis: Can web-based resources reduce the duration of untreated mood disorders in young people?

OBJECTIVE: Mood and anxiety disorders typically begin in adolescence or early adulthood, but those at the age of highest risk are among those least likely to access mental health services. However, they may be more likely than other demographic groups to seek help online. The goal of the present study was to investigate the online help- and information-seeking activity of young people newly diagnosed with mood and anxiety disorders in order to better understand how digital resources might serve this population. METHOD: Participants, aged 15 to 35, with a diagnosis of a mood or anxiety disorder were eligible if they had received their first mental health diagnosis within 24 months. Participants were interviewed with the Pathways to Care Questionnaire, which inquires about online activity prior to one's first interaction with mental healthcare providers. RESULTS: Forty people participated (depression n = 30, bipolar disorder n = 5, generalized anxiety disorder n = 5); average age 21 years (SD=3.2), 60% female. Eighty-one percent reported seeking help and/or information about their symptoms online. The gap between symptom onset and in-person help seeking was 91.90 weeks (SD=133.7). Most participants (85%) reported they would be open to communicating with a mental health professional online. CONCLUSION: A majority of young people experiencing clinically-significant symptoms seek help online. However, the gap between symptom onset and treatment initiation remains unacceptably long. Better strategies are needed to translate young people's interest in online resources into meaningful care, whether through web-based services or facilitated pathways to traditional treatment.

Social Functioning and Suicide Risk in a Community Sample of Adolescents.

Suicide is the second leading cause of death among young people. Both mental illness and social factors are associated with suicide in adolescents, and youth with mental disorders often experience social deficits, which may compound risk. The cumulative effects of mental disorders and social factors on suicidal ideation and behaviors (SIB) in adolescents have not previously been explored. Adolescents 13-18 years of age (N = 6,447; 49% female, 65% non-Hispanic White) participated in the National Comorbidity Survey Replication Adolescent Supplement. Adolescents were interviewed to assess mental health diagnoses, history of SIB, and relationship quality. Parents completed self-reports about adolescent mental health and family characteristics. Logistic regression estimated associations of friend, sibling, and family relationships with 12-month SIB and lifetime suicide attempt (SA); associations between relationships, SIB, and SA were compared across classes of mental disorders. Friendship negativity (odds ratio [OR] = 1.20, 95% confidence interval (CI) [1.04, 1.40]), and family conflict (OR = 1.26, 95% CI [1.13, 1.41]), were positively associated with SIB, beyond the risk conferred by mental disorders, particularly mood disorders (OR = 4.75, 95% CI [3.20, 7.05]). Friendship positivity (OR = 0.89, 95% CI [0.80, 0.99]); sibling relationship positivity (OR = 0.79, 95% CI [0.68, 0.91]); family cohesion (OR = 0.77, 95% CI [0.69, 0.87]); maternal care (OR = 0.76, 95% CI [0.69, 0.84]); and paternal care (OR = 0.68, 95% CI [0.59, 0.78]), were inversely associated with SIB. Sibling relationship positivity, family conflict, and paternal care were similarly associated with SA. Self-reported adolescent friend and family relationship characteristics are associated with SIB and SA beyond the risk conferred by mental disorders. This suggests that perceptions of friend and family relationships may be an appropriate target to reduce suicide risk among adolescents.

Debate: Looking forward: choose data over opinions to best serve youth with bipolar spectrum disorders - commentary on Parry et al. (2018).

Over the past two decades, research on pediatric bipolar disorder has grown geometrically. The diagnosis of pediatric bipolar disorder was met with enthusiasm, which in healthy doses catalyzed change, and skepticism, which in good measure pushes for rigor. Skepticism led to productive questions about the phenomenology of pediatric bipolar disorder and how best to diagnose and treat it. With regard to prevalence, key questions included whether it was increasing over time, and whether it was limited to the United States. In 2011, we published a meta-analysis addressing the prevalence questions; results indicated that bipolar disorder manifested at statistically indistinguishable rates in youth community samples across the world. In their recent paper, Parry et al. examine the studies included in the 2011 meta-analysis using a qualitative approach. Their opinion piece represents a step backwards; every study has shortcomings, but in focusing on a dozen individual studies, Parry et al. fail to take into account the preponderance of evidence - literally thousands of articles across countries, cohorts and methodologies - that support the existence of bipolar disorder in both prepubescent youth and adolescents. This commentary addresses misperceptions regarding the diagnosis of bipolar disorder in youth, particularly with regard to cross-informant agreement, to present converging data from international sources regarding the onset of bipolar disorder in childhood, and to correct the false claim that pediatric bipolar disorder is controversial. As clinicians and researchers, we have an obligation to do what we can to improve the lives of youth affected by mental illness. Denying the existence of a serious mood disorder will not serve the best interests of young people and will perpetuate the long delays many experience before getting an accurate diagnosis, appropriate treatment, and a fair chance at a good quality of life.

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.

Assessing for suicidal behavior in youth using the Achenbach System of Empirically Based Assessment.

This study investigated the clinical utility of the Achenbach System of Empirically Based Assessment (ASEBA) for identifying youth at risk for suicide. Specifically, we investigated how well the Total Problems scores and the sum of two suicide-related items (#18 "Deliberately harms self or attempts suicide" and #91 "Talks about killing self") were able to distinguish youth with a history of suicidal behavior. Youth (N = 1117) aged 5-18 were recruited for two studies of mental illness. History of suicidal behavior was assessed by semi-structured interviews (K-SADS) with youth and caregivers. Youth, caregivers, and a primary teacher each completed the appropriate form (YSR, CBCL, and TRF, respectively) of the ASEBA. Areas under the curve (AUCs) from ROC analyses and diagnostic likelihood ratios (DLRs) were used to measure the ability of both Total Problems T scores, as well as the summed score of two suicide-related items, to identify youth with a history of suicidal behavior. The Suicide Items from the CBCL and YSR performed well (AUCs = 0.85 and 0.70, respectively). The TRF Suicide Items did not perform better than chance, AUC = 0.45. The AUCs for the Total Problems scores were poor-to-fair (0.33-0.65). The CBCL Suicide Items outperformed all other scores (ps = 0.04 to <0.0005). Combining the CBCL and YSR items did not lead to incremental improvement in prediction over the CBCL alone. The sum of two questions from a commonly used assessment tool can offer important information about a youth's risk for suicidal behavior. The low burden of this approach could facilitate wide-spread screening for suicide in an increasingly at-risk population.

Longitudinal course and characteristics of cyclothymic disorder in youth.

OBJECTIVES: Epidemiological studies suggest that cyclothymic disorder is the most prevalent subtype of bipolar disorder (BD). However, it is rarely diagnosed, especially in youth. This may be because it can be difficult to ascertain whether a youth meets diagnostic criteria. Clearer, easy-to-apply criteria could reduce misdiagnosis. The objective oftable this study was to determine whether proposed research diagnostic criteria for cyclothymic disorder (RDCyc), based on DSM-5 criteria, could be quantified and validated in youth. METHODS: Participants from the Longitudinal Assessment of Manic Symptoms (LAMS) study were recruited based on symptoms of mania and followed prospectively. RDCyc criteria were: 1) At least one core symptom each of mania and depression; 2) one additional symptom of mania and of depression; 3) persistence over two consecutive six-month periods, and 4) impairment. Exclusionary criteria were having a [hypo]manic or depressive episode. Outcomes at the two-year follow-up were compared between RDCyc youth and other diagnostic groups (BD I/II, BD NOS/non-RDCyc cyclothymic disorder, disruptive behavior disorders [DBD], depression). RESULTS: Thirty-seven youth met RDCyc criteria. There were no consistent differences between the RDCyc youth and youth with other BD subtypes (ps=0.001-0.960, with all-but-one p value >0.02). RDCyc youth had higher depression (p<0.0005) and mania scores (p=0.001), lower functioning (p=0.012), and higher suicide risk than DBD youth (p=0.001). They had higher mania scores than depressed youth (p.018). LIMITATIONS: The majority of youth in the sample were recruited due to elevated symptoms of mania, which may limit the generalizability of the results. Youth were followed for two years, which may not be long enough to determine whether or not they will eventually develop a manic or depressive episode. CONCLUSIONS: Applying RDCyc criteria identified youth who were similar to others with BD and were more impaired than those with DBD. Using these criteria could reduce misdiagnosis and increase our understanding of this prevalent, but largely ignored, diagnosis.

The Bipolar Prodrome: Meta-Analysis of Symptom Prevalence Prior to Initial or Recurrent Mood Episodes.

OBJECTIVE: The aim of this study was to meta-analyze the prevalence of symptoms before an initial mood episode of bipolar disorder (BD) and the prevalence of subthreshold symptoms before a BD mood episode recurrence, to facilitate early identification and prevention. METHOD: Systematic literature reviews were conducted in PsycINFO and PubMed for prospective or retrospective studies reporting on the prevalence and longest duration of symptoms before an initial or recurrent mood episode of BD. Random effects meta-regression explored whether geographic location, age, percentage of female individuals, and study quality moderated the overall prevalence. RESULTS: In 11 studies (n = 1,078), the prodrome preceding an initial mood episode lasted 27.1 ± 23.1 months (range, 4.6-130 months). In 10 studies (n = 1,000), the subthreshold symptoms preceding a recurrent mood episode lasted 1.0 ± 0.9 months (range, 0.5-1.3 months). The most common symptoms were largely consistent with diagnostic criteria symptoms associated with the subsequent mood polarity for both the initial prodrome and the period prior to a recurrent mood episode. Few moderators of symptom prevalences emerged, and significant heterogeneity remained. CONCLUSION: The initial prodromal period is sufficiently long and characterized by symptoms of the subsequent mood episode to make early identification and intervention programs feasible. Conversely, the period of subthreshold symptoms before a recurrent mood episode is short, mandating adequate psychoeducation of patients and families, monitoring of changes in sleep and activity, plus sufficiently frequent follow-up visits to identify patients before a mood episode recurrence. Future prospective investigations, designed to address the identified shortcomings in the extant literature, are needed to identify more clinically applicable information.

Ten-year updated meta-analysis of the clinical characteristics of pediatric mania and hypomania.

OBJECTIVES: The phenomenology and diagnosis of pediatric bipolar disorder has been controversial. We aimed to update a 2005 meta analysis of the prevalence of manic symptoms in youth, in order to determine whether the picture of pediatric mania has changed as research on pediatric bipolar disorder has grown. METHODS: We conducted literature reviews in PsycINFO and PubMed; studies with the prevalence of manic symptoms in youth were included. Two raters coded each study; kappa was 0.86-1.0. RESULTS: Twenty studies were meta-analyzed (N = 2,226 youths). The most common symptoms across bipolar subtypes, using a random-effects model, were: increased energy 79%, irritability 77%, mood lability 76%, distractibility 74%, goal-directed activity 72%, euphoric/elated mood 64%, pressured speech 63%, hyperactive 62%, racing thoughts 61%, poor judgment 61%, grandiosity 57%, inappropriate laughter 57%, decreased need for sleep 56%, and flight of ideas 54%. Symptom rates were heterogeneous across samples; potential predictors were explored but no clear patterns were found. CONCLUSIONS: Debate continues about the definitions of pediatric bipolar disorder; the results of this meta-analysis suggest that there is significant heterogeneity of symptom prevalence between studies, and that symptoms vary widely across individuals. Understanding the roots of this heterogeneity could broaden understanding of the complex clinical presentation of pediatric mania, and aid in diagnosis.