A Risk Calculator to Predict Suicide Attempts Among Individuals With Early-Onset Bipolar Disorder.

Objectives: To build a one-year risk calculator (RC) to predict individualized risk for suicide attempt in early-onset bipolar disorder. Methods: Youth numbering 394 with bipolar disorder who completed ≥2 follow-up assessments (median follow-up length = 13.1 years) in the longitudinal Course and Outcome of Bipolar Youth (COBY) study were included. Suicide attempt over follow-up was assessed via the A-LIFE Self-Injurious/Suicidal Behavior scale. Predictors from the literature on suicidal behavior in bipolar disorder that are readily assessed in clinical practice were selected and trichotomized as appropriate (presence past 6 months/lifetime history only/no lifetime history). The RC was trained via boosted multinomial classification trees; predictions were calibrated via Platt scaling. Half of the sample was used to train, and the other half to independently test the RC. Results: There were 249 suicide attempts among 106 individuals. Ten predictors accounted for >90% of the cross-validated relative influence in the model (AUC = 0.82; in order of relative influence): (1) age of mood disorder onset; (2) non-suicidal self-injurious behavior (trichotomized); (3) current age; (4) psychosis (trichotomized); (5) socioeconomic status; (6) most severe depressive symptoms in past 6 months (trichotomized none/subthreshold/threshold); (7) history of suicide attempt (trichotomized); (8) family history of suicidal behavior; (9) substance use disorder (trichotomized); (10) lifetime history of physical/sexual abuse. For all trichotomized variables, presence in the past 6 months reliably predicted higher risk than lifetime history. Conclusions: This RC holds promise as a clinical and research tool for prospective identification of individualized high-risk periods for suicide attempt in early-onset bipolar disorder.Reprinted from Bipolar Disord 2022; 24:749-757, with permission from John Wiley and Sons. Copyright © 2022.

A risk calculator to predict suicide attempts among individuals with early-onset bipolar disorder.

OBJECTIVES: To build a one-year risk calculator (RC) to predict individualized risk for suicide attempt in early-onset bipolar disorder. METHODS: Youth numbering 394 with bipolar disorder who completed ≥2 follow-up assessments (median follow-up length = 13.1 years) in the longitudinal Course and Outcome of Bipolar Youth (COBY) study were included. Suicide attempt over follow-up was assessed via the A-LIFE Self-Injurious/Suicidal Behavior scale. Predictors from the literature on suicidal behavior in bipolar disorder that are readily assessed in clinical practice were selected and trichotomized as appropriate (presence past 6 months/lifetime history only/no lifetime history). The RC was trained via boosted multinomial classification trees; predictions were calibrated via Platt scaling. Half of the sample was used to train, and the other half to independently test the RC. RESULTS: There were 249 suicide attempts among 106 individuals. Ten predictors accounted for >90% of the cross-validated relative influence in the model (AUC = 0.82; in order of relative influence): (1) age of mood disorder onset; (2) non-suicidal self-injurious behavior (trichotomized); (3) current age; (4) psychosis (trichotomized); (5) socioeconomic status; (6) most severe depressive symptoms in past 6 months (trichotomized none/subthreshold/threshold); (7) history of suicide attempt (trichotomized); (8) family history of suicidal behavior; (9) substance use disorder (trichotomized); (10) lifetime history of physical/sexual abuse. For all trichotomized variables, presence in the past 6 months reliably predicted higher risk than lifetime history. CONCLUSIONS: This RC holds promise as a clinical and research tool for prospective identification of individualized high-risk periods for suicide attempt in early-onset bipolar disorder.

White matter predictors of worsening of subthreshold hypomania severity in non-bipolar young adults parallel abnormalities in individuals with bipolar disorder.

BACKGROUND: Identifying neural predictors of worsening subthreshold hypomania severity can help identify risk of progression to BD. While diffusion Magnetic Resonance Imaging (dMRI) studies reported white matter microstructural abnormalities in tracts supporting emotional regulation in individuals with BD, it remains unknown whether similar patterns of white matter microstructure predict worsening of subthreshold hypomania severity in non-BD individuals. METHODS: dMRI data were collected in: 81 non-BD individuals recruited across a range of subthreshold depression and hypomania, and followed for six months; and independent samples of 75 BD and 58 healthy individuals. All individuals were assessed using standardized diagnostic assessments, mood and anxiety symptom rating scales. Global probabilistic tractography and a tract-profile approach examined fractional anisotropy (FA), a measure of fiber collinearity, in tracts supporting emotional regulation shown to have abnormalities in BD: forceps minor (FMIN), anterior thalamic radiation (ATR), cingulum bundle (CB), and uncinate fasciculus (UF). RESULTS: Lower FA in left CB (middle, ß = -0.22, P = 0.022; posterior, ß = -0.32, P < 0.001), right CB (anterior, ß = -0.30, P = 0.003; posterior, ß = -0.27, P = 0.005), and right UF (frontal, ß = -0.29, P = 0.002; temporal, ß = -0.40, P < 0.001) predicted worsening of subthreshold hypomania severity in non-BD individuals. BD versus healthy individuals showed lower FA in several of these segments: middle left CB (F = 8.7, P = 0.004), anterior right CB (F = 9.8, P = 0.002), and frontal right UF (F = 7.0, P = 0.009). Non-BD individuals with worsening 6-month hypomania had lower FA in these three segments versus HC and non-BD individuals without worsening hypomania, but similar FA to BD individuals. LIMITATIONS: Relatively short follow-up. CONCLUSIONS: White matter predictors of worsening subthreshold hypomania in non-BD individuals parallel abnormalities in BD individuals, and can guide early risk identification and interventions.

Risk factors preceding new onset abuse among youth with bipolar disorder: A longitudinal prospective analysis.

BACKGROUND: Childhood abuse negatively impacts the course of Bipolar Disorder (BD). Yet, no study has examined risk factors associated with prospectively evaluated physical/sexual abuse, specifically, those preceding first abuse among BD youth. We investigate past/intake/follow-up factors preceding first physical/sexual abuse among BD youth. METHODS: Childhood-onset BD participants (n = 279 youth, mean age at intake = 12, mean length of follow-up = 12 years) enrolled in the Course and Outcome of Bipolar Youth (COBY) study. Demographic, clinical and family history variables were assessed every 7 months on average using Longitudinal Interval Follow-up Evaluation and Kiddie Schedule for Affective Disorders and Schizophrenia (K-SADS-PL). Abuse was evaluated at intake using the K-SADS-PL, over follow-up with a Traumatic Events Screen. Family psychopathology was assessed using Family History Screen/Structured Clinical Interview for Diagnostic Statistical Manual-IV. RESULTS: Fifteen-percent of youth reported new-onset abuse during follow-up (62% physical, 26% sexual; 12% both). Intake predictors included more severe depressive symptoms (HR = 1.29), low socioeconomic-status (SES) in families with substance abuse (HR = 0.84) (physical abuse), and female sex (HR = 2.41) (sexual abuse). Follow-up predictors preceding physical abuse included: older age (HR = 1.42), disruptive disorders (HR = 1.39), and the interaction between low SES and family substance abuse (HR = 0.86). For sexual abuse, female sex (HR = 4.33) and a non-biologically related father presence in the household (HR = 2.76). Good relationships with friends (prospectively evaluated) protected against physical/sexual abuse (HR = 0.72/0.70, respectively). LIMITATIONS: Prospective data was gathered longitudinally but assessed retrospectively at every follow-up; perpetrator information and abuse severity were not available. CONCLUSIONS: Identifying factors temporally preceding new onset physical/sexual abuse may hold promise for identifying high-risk youth with BD.

Higher socioeconomic status and less parental psychopathology improve prognosis in youths with bipolar disorder.

BACKGROUND: To identify prospectively ascertained individual and family factors that are associated with improvement in Bipolar Disorder (BD) among youths who initially presented with poor course. METHODS: 82 youths with BD with persistent poor mood symptomatology ("predominantly ill course") were compared to 70 youths with BD who at intake had poor course, but showed improvement during the follow-up ("ill with improving course"), (ages 12.3 ± 3.3, vs. 11.7 ± 3.3 years old, at intake). Improvement was measured by the percentage of time euthymic during a mean follow-up of 12.8 years. Youths and parents were interviewed to assess psychopathology, functioning, treatment, and familial functioning and psychopathology. RESULTS: Compared to the ill group, since intake, the improving group showed significantly lower subthreshold depression and hypo/mania, Attention Deficit Hyperactivity Disorder, and Disruptive Behavior Disorders. Parental Socioeconomic Status (SES) remained unchanged over time in the ill group, but progressively increased in the improving group. Importantly, the change in SES predated the improvement in the mood trajectory. The most influential variables that predicted improvement were higher SES, and absence of parental BD and Substance Use Disorder (SUD). Parental SUD also negatively affected the parental SES, which was directly associated with worse mood course. LIMITATIONS: Predominantly self-reported White samples may limit generalizability; other factors potentially associated with outcome (e.g., treatment adherence), were not ascertained. CONCLUSIONS: In addition to treating mood/comorbid psychopathology in symptomatic BD youths, to improve their prognosis, it is crucial to address their parent's BD and SUD and promote parental education/employment.

Validation of the youth mood recurrences risk calculator in an adult sample with bipolar disorder.

BACKGROUND: The ability to predict an individual's risk of mood episode recurrence can facilitate personalized medicine in bipolar disorder (BD). We sought to externally validate, in an adult sample, a risk calculator of mood episode recurrence developed in youth/young adults with BD from the Course and Outcome of Bipolar Youth (COBY) study. METHODS: Adult participants from the National Institute of Mental Health Collaborative Depression Study (CDS; N=258; mean(SD) age=35.5(12.0) years; mean follow-up=24.9 years) were utilized as a sample to validate the youth COBY risk calculator for onset of depressive, manic, or any mood episodes. RESULTS: In this older validation sample, the risk calculator predicted recurrence of any episode over 1, 2, 3, or 5-year follow-up intervals, with Area Under the Curves (AUCs) approximating 0.77. The AUC for prediction of depressive episodes was about 0.81 for each of the time windows, which was higher than for manic or hypomanic episodes (AUC=0.72). While the risk calculator was well-calibrated across the range of risk scores, it systematically underestimated risk in the CDS sample by about 20%. The length of current remission was a highly significant predictor of recurrence risk in the CDS sample. LIMITATIONS: Predominantly self-reported White samples may limit generalizability; the risk calculator does not assess more proximal risk (e.g., 1 month). CONCLUSIONS: Risk of mood episode recurrence can be predicted with good accuracy in youth and adults with BD in remission. The risk calculators may help identify higher risk BD subgroups for treatment and research.

Longitudinal course of depressive symptom severity among youths with bipolar disorders: Moderating influences of sustained attention and history of child maltreatment.

BACKGROUND: Pediatric bipolar disorders are often characterized by disruptions in cognitive functioning, and exposure to child maltreatment (e.g., physical and sexual abuse) is associated with a significantly poorer course of illness. Although clinical and developmental research has shown maltreatment to be robustly associated with poorer cognitive functioning, it is unclear whether maltreatment and cognitive function jointly influence the clinical course of bipolar symptoms. METHODS: This secondary analysis examined moderating effects of lifetime childhood physical and sexual abuse, and cognitive disruptions (sustained attention, affective information processing), on longitudinal ratings of depression symptom severity in youths from the Course and Outcome of Bipolar Youth (COBY) study, examined from intake (M = 12.24 years) through age 22 (N = 198; 43.9% female; Mean age of bipolar onset = 8.85 years). RESULTS: A significant moderating effect was detected for sustained attention and maltreatment history. In the context of lower sustained attention, maltreatment exposure was associated with higher depression symptom severity during childhood, but not late adolescence. There was no association between maltreatment and symptom severity in the context of higher sustained attention, and no association between attention and depression symptom severity for non-maltreated youths. LIMITATIONS: Depression symptom ratings at each assessment were subject to retrospective recall bias despite the longitudinal design. Cognitive assessments were administered at different ages across youths. CONCLUSIONS: Depressive symptoms in pediatric bipolar may be jointly moderated by impairments in attention and exposure to maltreatment. Assessment of these risks, particularly in childhood, may be beneficial for considering risk of recurrence or chronicity of depressive symptoms.

Prospectively ascertained mania and hypomania among young adults with child- and adolescent-onset bipolar disorder.

OBJECTIVES: While adults with bipolar disorder (BD) often report symptoms starting in childhood, continuity of mania and/or hypomania (mania/hypomania) from childhood to adulthood has been questioned. Using longitudinal data from the Course and Outcome of Bipolar Youth (COBY) study, we assessed threshold mania/hypomania in young adults who manifested BD as youth. METHODS: COBY is a naturalistic, longitudinal study of 446 youth with BD (84% recruited from outpatient clinics), 7-17 years old at intake, and over 11 years of follow-up. Focusing on youth with BD-I/II (n = 297), we examined adult mania/hypomania risk (>18 years old; mean 7.9 years of follow-up) according to child (<13 years old) versus adolescent (13-17 years old) onset. We next used penalized regression to test demographic and clinical predictors of young adult mania/hypomania. RESULTS: Most participants (64%) had child-onset mania/hypomania, 57% of whom also experienced mania/hypomania in adolescence. Among those who experienced an episode in adolescence, over 40% also had mania/hypomania during adulthood; the risk did not differ according to child versus adolescent onset. In contrast, 7% with mania/hypomania in childhood, but not adolescence, experienced mania/hypomania in adulthood. Family history (of mania and suicide attempts) predicted mania/hypomania in young adulthood (p-values <0.05); age of onset was not a significant predictor. Among participants with no mania/hypomania during adulthood, 53% (105/198) still experienced subthreshold manic episodes. DISCUSSION: We find substantial continuity across developmental stage indicating that, in this carefully characterized sample, children who experience mania/hypomania-particularly those who also experience mania/hypomania in adolescence-are likely to experience mania/hypomania in young adulthood.

Emotional regulation neural circuitry abnormalities in adult bipolar disorder: dissociating effects of long-term depression history from relationships with present symptoms.

Bipolar disorder (BD) is common and debilitating and confounding effects of depression history on neural activity in BD are unknown. We aimed to dissociate neural activity reflecting past depression-load vs. present symptom severity using the Course and Outcome of Bipolar Youth (COBY), a prospective longitudinal cohort study of pediatric-onset BD. In n = 54 COBY (18-32 years), we modeled depression scores over time (up to 17.5 years) using a standardized autoregressive moving average (ARMA) model, followed by k-means cluster analysis. N = 36 healthy participants (HC, 20-36 years) were included. Using two factorial analyses, we parsed the impact of ARMA-defined past depression-load on neural activity from the impact of current symptoms on neural activity (p < 0.001, k > 30) and examined relationships with past and present symptoms (ps FDR-corrected). ARMA identified three COBY groups based on past depression-load. ARMA-defined COBY participants with the greatest past depression-load vs. other groups showed greater activity in right temporoparietal junction, thalamus, insula, premotor cortex, left fusiform gyrus, bilateral precuneus and cerebellum. In contrast, BD-COBY participants vs. HC showed greater activity in left hippocampus, dorsolateral prefrontal cortex, and right somatosensory cortex, plus the above thalamus, premotor cortex and cerebellum; activity positively correlated with present symptom severity in most regions. Past depression-load was related to social cognition and salience perception network activity, potentially reflecting heightened attention to socially relevant distracters, while present symptoms were associated with emotion processing and reappraisal network activity, potentially reflecting abnormal emotional experience and regulation. Differentiating aberrant neural activity related to long-term depression vs. present affective symptoms can help target interventions to networks associated with pathophysiological processes, rather than long-term illness effects.

Sex Differences in the Longitudinal Course and Outcome of Bipolar Disorder in Youth.

OBJECTIVE: Despite substantial literature on sex differences in adults with bipolar disorder (BD), little is known about this topic in youth; this study examines sex differences in mood symptomatology and psychiatric comorbidity in prospectively followed youth with BD. METHODS: A subsample of the Course and Outcome of Bipolar Youth study (N = 370; female n = 199, male n = 171) enrolled October 2000-July 2006 (age at intake = 7-17.11 years) who met DSM-IV criteria for bipolar I disorder (BD-I; n = 221), bipolar II disorder (BD-II; n = 26), or operationalized BD not otherwise specified (BD-NOS; n = 123) with ≥ 4 years follow-up was included. Analyses examined sex differences at intake and, prospectively, in mood symptomatology and psychiatric comorbidity for a mean ± SD follow-up of 10.5 ± 1.72 years. RESULTS: Females were older than males at intake (mean ± SD age = 13.33 ± 3.32 vs 12.04 ± 3.16 years; P = .0002) and at age at mood onset (9.33 ± 4.22 vs 7.53 ± 3.74 years; P < .0001). After adjustment for confounders, males spent more time with syndromal ADHD (Padjusted = .001) and females spent more time with syndromal anxiety (Padjusted = .02). There were trends toward males spending more time with substance use disorder and females having more non-suicidal self-injurious behavior (Padjusted = .07 and .09, respectively). There were no sex differences on outcome variables, including rate of or time to recovery and recurrence. CONCLUSIONS: Contrasting with adult literature, this study identified minimal sex differences in the course of youth with BD. Longer-term studies are needed to clarify if youth-onset BD remains a "sex neutral" subtype of BD or diverges according to sex in adulthood.

Correlates, Course, and Outcomes of Increased Energy in Youth with Bipolar Disorder.

OBJECTIVES: Compare longitudinal trajectories of youth with Diagnostic and Statistical Manual of Mental Disorders (DSM)-IV Bipolar Disorder (BD), grouped at baseline by presence/absence of increased energy during their worst lifetime mood episode (required for DSM-5). METHODS: Participants from the parent Course and Outcome of Bipolar Youth study (N = 446) were assessed utilizing The Schedule for Affective Disorders and Schizophrenia for School-Age Children (KSADS), KSADS Mania Rating Scale (KMRS), and KSADS Depression Rating Scale (KDRS). Youth were grouped at baseline into those with increased energy (meeting DSM-5 Criteria A for mania) vs. without increased energy (meeting DSM-IV, but not DSM-5, Criteria A for mania), for those who had worst lifetime mood episode recorded (n = 430). Youth with available longitudinal data had the presence/absence of increased energy measured, as well as psychiatric symptomatology/clinical outcomes (evaluated via the Adolescent Longitudinal Interval Follow-Up Evaluation), at each follow-up for 12.5 years (n = 398). RESULTS: At baseline, the increased energy group (based on endorsed increased energy during worst lifetime mood episode; 86% of participants) vs. the without increased energy group, were more likely to meet criteria for BD-I and BD Not Otherwise Specified, had higher KMRS/KDRS total scores, and displayed poorer family/global psychosocial functioning. However, frequency of increased energy between groups was comparable after 5 years, and no significant group differences were found on clinical/psychosocial functioning outcomes after 12.5 years. LIMITATIONS: Secondary data limited study design; groupings were based on one time point. CONCLUSIONS: Results indicate no clinically relevant longitudinal group differences.

The Effect of Traumatic Events on the Longitudinal Course and Outcomes of Youth with Bipolar Disorder.

BACKGROUND: Exposure to severe Traumatic Events (TEs) has been associated with poor course and outcomes among individuals with Bipolar Disorder (BD). However, there is limited research on TEs among youth with BD, and few studies are longitudinal. This study prospectively followed a large sample of BD youth, examining the associations of lifetime TEs with their mood and functioning. METHODS: BD participants (n=375; mean age=17; range 8-25y) were assessed, on average, every 7 months for a median 8.7 years. Psychopathology and lifetime trauma history were prospectively evaluated using the Longitudinal Interval Follow-Up Evaluation, and a traumatic events screening. RESULTS: Accounting for covariates, participants with one or more lifetime TEs (84%) showed earlier BD onset, poorer psychosocial functioning, worse mood symptoms, and more suicidal ideation, comorbidities, and family psychopathology than those without TEs. TEs during recovery periods increased recurrence risk (p<0.02). More TEs were associated with poorer mood course, particularly among victims of violence/abuse (p<0.02). Abused participants (34% physical; 17% sexual) showed earlier onset of substance use disorders, more suicidality and comorbidities compared to those without abuse. Comparisons of mood course before and after abuse occurred, and with participants without abuse, showed worsening mood symptoms after, specifically hypo/mania (p<0.03). LIMITATIONS: Prospective data was gathered longitudinally but assessed retrospectively at every follow-up; given approximate dates causality cannot be inferred; TEs severity was not assessed. CONCLUSIONS: Severe TEs, particularly abuse, were associated with poorer course and outcomes among BD youth. Prompt screening of trauma and early intervention may be warranted to minimize TEs impact.

Course of longitudinal psychosocial functioning in bipolar youth transitioning to adults.

OBJECTIVES: Few studies have examined domain-specific psychosocial functioning in Bipolar Disorder (BD) youths. This prospective study examines (1) Interpersonal Relationships with Family; (2) Interpersonal Relationships with Friends; (3) School/Work; (4) Recreation; (5) Life Satisfaction, in BD youths. METHOD: A Course and Outcome of Bipolar Youth subsample (n = 367; mean intake age = 12.6 years, SD = 3.3; 46.6% female) was previously grouped into 4 Classes based on their illness trajectories and percentage of time euthymic using Latent Class Growth Analysis: Class 1 Predominantly Euthymic; Class 2 Moderately Euthymic; Class 3 Ill with Improving Course; Class 4 Predominantly Ill. Psychosocial functioning within the domains were examined for greater than 10 years using the Adolescent Longitudinal Interval Follow-Up Evaluation. RESULTS: Class 1 demonstrated better functioning across all domains; Class 4 demonstrated worse functioning across all domains. Class 2 showed worsening relationships and recreation, and improvement in work/schoolwork. Class 3 showed variable domain declines and improvements. Despite symptomatic remission, 13%-20% of Class 1 and 20-47% of Classes 1/3 still had impairments across different domains. Early age of BD onset impacted impairment across most domains, and low SES significantly predicted impairment in family relationships. LIMITATIONS: The study does not have a healthy control group to compare functioning findings. CONCLUSIONS: Participants with more symptomatic mood trajectories had greater impairment across domains. Moreover, even with symptomatic remission, participants still exhibited impairment. Each Class and domain had different trajectories for impairment. Results suggest the importance of examining specific (vs. global) domains for targeted treatment, even when symptomatically remitted.

Predicting Personalized Risk of Mood Recurrences in Youths and Young Adults With Bipolar Spectrum Disorder.

OBJECTIVE: With each recurrence the prognosis of bipolar disorder (BD) worsens, indicating the need to identify the factors associated with increased recurrence risk. The course of BD is heterogenous and although risk factors for recurrence for the group as a whole have been reported in the literature, identification of risk factors for a specific individual are crucial for developing personalized treatments. METHOD: A total of 363 recovered BD youths/young adults from the Course and Outcome of Bipolar Youth (COBY) study were included. Participants were evaluated on average every 7 months for a median of 12.5 years and interviewed with standard instruments. Risk factors of recurrence from the literature were used to build a risk calculator (RC) to predict recurrence risk at different time intervals. RESULTS: Approximately 80% of participants had at least one syndromal recurrence and 60% had ≥2 recurrences, particularly depressions. The 6-month and 1-, 2-, 3-, and 5-year RC showed an accuracy between 72% and 82% for predicting any mood recurrences, and up to 80% for depression and 89% for hypo/mania (sensitivity/specificity both 0.74). The most influential recurrence risk factors were shorter recovery lengths, younger age at assessment, earlier mood onset, and more severe prior depression. Although important, other factors associated with recurrence risk, such as interepisodic subsyndromal mood symptoms and comorbidities, did not influence the RC score beyond factors noted above. CONCLUSION: The RC provides a useful tool for predicting an individual's recurrence risk of depression and/or hypo/mania in BD youths and for developing personalized interventions and informing research. Replication studies are warranted.

Development of Three Web-Based Computerized Versions of the Kiddie Schedule for Affective Disorders and Schizophrenia Child Psychiatric Diagnostic Interview: Preliminary Validity Data.

OBJECTIVE: To present initial validity data on three web-based computerized versions of the Kiddie Schedule for Affective Disorders and Schizophrenia (KSADS-COMP). METHOD: The sample for evaluating the validity of the clinician-administered KSADS-COMP included 511 youths 6-18 years of age who were participants in the Child Mind Institute Healthy Brain Network. The sample for evaluating the parent and youth self-administered versions of the KSADS-COMP included 158 youths 11-17 years of age recruited from three academic institutions. RESULTS: Average administration time for completing the combined parent and youth clinician-administered KSADS-COMP was less time than previously reported for completing the paper-and-pencil K-SADS with only one informant (91.9 ± 50.1 minutes). Average administration times for the youth and parent self-administered KSADS-COMP were 50.9 ± 28.0 minutes and 63.2 ± 38.3 minutes, respectively, and youths and parents rated their experience using the web-based self-administered KSADS-COMP versions very positively. Diagnoses generated with all three KSADS-COMP versions demonstrated good convergent validity against established clinical rating scales and dimensional diagnostic-specific ratings derived from the KSADS-COMP. When parent and youth self-administered KSADS-COMP data were integrated, good to excellent concordance was also achieved between diagnoses derived using the self-administered and clinician-administered KSADS-COMP versions (area under the curve = 0.89-1.00). CONCLUSION: The three versions of the KSADS-COMP demonstrate promising psychometric properties, while offering efficiency in administration and scoring. The clinician-administered KSADS-COMP shows utility not only for research, but also for implementation in clinical practice, with self-report preinterview ratings that streamline administration. The self-administered KSADS-COMP versions have numerous potential research and clinical applications, including in large-scale epidemiological studies, in schools, in emergency departments, and in telehealth to address the critical shortage of child and adolescent mental health specialists. CLINICAL TRIAL REGISTRATION INFORMATION: Computerized Screening for Comorbidity in Adolescents With Substance or Psychiatric Disorders; https://clinicaltrials.gov/; NCT01866956.

Lithium Versus Other Mood-Stabilizing Medications in a Longitudinal Study of Youth Diagnosed With Bipolar Disorder.

OBJECTIVE: Lithium is the mainstay for bipolar disorder (BD) treatment in adults, but evidence in youths is limited. We used data from the Course and Outcome of Bipolar Youth (COBY) study to assess whether lithium vs other mood-stabilizing medication (OMS) was associated with improved outcomes, including mood symptoms and suicidality. METHOD: COBY is a naturalistic, longitudinal study of 413 youths, 7 to 17.11 years old at intake, with BD. At each visit, medication exposure, psychiatric symptoms, and psychosocial function over the preceding follow-up period were assessed using the Adolescent Longitudinal Interval Follow-Up Evaluation. Using mixed models, we determined whether participants taking lithium vs OMS (but not lithium) differed regarding mood symptoms, suicidality, psychosocial function, hospitalization, aggression, and substance use. RESULTS: A total of 340 participants contributed 2,638 six-month follow-up periods (886 lithium, 1,752 OMS), over a mean follow-up of 10 years. During lithium (vs OMS) follow-up periods, participants were older, less likely to have lifetime anxiety, and less likely to be on antidepressants (p values<.005). After covariate adjustment, the lithium group (vs OMS) had half as many suicide attempts (p = .03), fewer depressive symptoms (p = .004), less psychosocial impairment (p = .003), and less aggression (p = .0004). Similar findings were observed in the subgroup of follow-up periods in which participants were <18 years old. CONCLUSION: Findings are consistent with adult studies, showing that lithium is associated with decreased suicidality, less depression, and better psychosocial functioning. Given the paucity of evidence regarding lithium in children and adolescents, these findings have important clinical implications for the pharmacological management of youths with BD.

Longitudinal course and risk factors associated with psychosis in bipolar youths.

OBJECTIVES: To compare the longitudinal clinical course of youths with bipolar disorder (BD) spectrum with lifetime (past, intake, and/or follow-up) psychosis (BDP+) to youths with BD without lifetime psychosis (BDP-). Also, to identify risk factors associated with increased risk of first onset of psychosis during prospective follow-up. METHOD: Bipolar disorder youths (BDP+ = 137, BDP- = 233), aged 7-17 years old, were followed on average every 7 months for 11.7 years and were evaluated using standardized instruments. Data were analyzed using linear and generalized linear models for the full sample, as well as for youths who developed first period of psychosis (n = 55). RESULTS: After adjusting for confounders, BDP+ youths with one, and in particular ≥2 lifetime psychotic episodes, had higher rates and more severe mood and anxiety symptoms, higher rates of suicidality, psychiatric hospitalizations, and sexual/physical abuse, and poorer psychosocial functioning than BDP- youths. Even before the first onset of psychosis during follow-up, BDP+ youths showed more psychopathology and had more family history of psychiatric illness than those who never developed psychosis. First-onset psychosis was associated with low socioeconomic status (SES), living with one parent, bipolar disorder type one and type two, comorbid anxiety, history of hospitalizations, and family history of mania and suicidality. CONCLUSION: BDP+ is associated with poor prognosis and worse clinical picture, even before the onset of psychosis, indicating the need for prompt identification and treatment of these youths. Studies aimed to treat acute symptoms of psychosis, as well as prevent the onset of psychosis, including risk factors amenable to change, are warranted.

The impact of familial risk and early life adversity on emotion and reward processing networks in youth at-risk for bipolar disorder.

A recently developed risk calculator for bipolar disorder (BD) accounts for clinical and parental psychopathology. Yet, it is understood that both familial predisposition and early life adversity contribute to the development of BD. How the interplay between these two factors influence emotion and reward processing networks in youth at risk for BD remains unclear. In this exploratory analysis, offspring of BD parents performed emotion and reward processing tasks while undergoing a fMRI scan. Risk calculator score was used to assess risk for developing BD in the next 5 years. Environmental risk was tabulated using the Stressful Life Events Schedule (SLES). Emotion and reward processing networks were investigated for genetic and/or environment interactions. Interaction effects were found between risk calculator scores, negative SLES score and activity in right amygdala and bilateral fusiform gyri during the emotion processing task, as well as activity in the fronto-, striatal, and parietal regions during the reward processing task. Our findings are preliminary; however, they support the unique and interactive contributions of both familial and environmental risk factors on emotion and reward processing within OBP. They also identify potential neural targets to guide development of interventions for youth at greatest risk for psychiatric disorders.

Clinical, cortical thickness and neural activity predictors of future affective lability in youth at risk for bipolar disorder: initial discovery and independent sample replication.

We aimed to identify markers of future affective lability in youth at bipolar disorder risk from the Pittsburgh Bipolar Offspring Study (BIOS) (n = 41, age = 14, SD = 2.30), and validate these predictors in an independent sample from the Longitudinal Assessment of Manic Symptoms study (LAMS) (n = 55, age = 13.7, SD = 1.9). We included factors of mixed/mania, irritability, and anxiety/depression (29 months post MRI scan) in regularized regression models. Clinical and demographic variables, along with neural activity during reward and emotion processing and gray matter structure in all cortical regions at baseline, were used to predict future affective lability factor scores, using regularized regression. Future affective lability factor scores were predicted in both samples by unique combinations of baseline neural structure, function, and clinical characteristics. Lower bilateral parietal cortical thickness, greater left ventrolateral prefrontal cortex thickness, lower right transverse temporal cortex thickness, greater self-reported depression, mania severity, and age at scan predicted greater future mixed/mania factor score. Lower bilateral parietal cortical thickness, greater right entorhinal cortical thickness, greater right fusiform gyral activity during emotional face processing, diagnosis of major depressive disorder, and greater self-reported depression severity predicted greater irritability factor score. Greater self-reported depression severity predicted greater anxiety/depression factor score. Elucidating unique clinical and neural predictors of future-specific affective lability factors is a step toward identifying objective markers of bipolar disorder risk, to provide neural targets to better guide and monitor early interventions in bipolar disorder at-risk youth.

High Prevalence of Metabolic Syndrome Among Adolescents and Young Adults With Bipolar Disorder.

OBJECTIVE: Despite abundant literature demonstrating increased metabolic syndrome (MetS) prevalence and important clinical correlates of MetS among middle-age adults with bipolar disorder, little is known about this topic among adolescents and young adults early in their course of bipolar disorder. We therefore examined this topic in the Course and Outcome of Bipolar Youth (COBY) study. METHODS: A cross-sectional, retrospective study was conducted of 162 adolescents and young adults (mean ± SD age = 20.8 ± 3.7 years; range, 13.6-28.3 years) with bipolar disorder (I, II, or not otherwise specified, based on DSM-IV) enrolled in COBY between 2000 and 2006. MetS measures (blood pressure, glucose, high-density lipoprotein cholesterol [HDL-C], triglycerides, and waist circumference), defined using the International Diabetes Federation criteria, were obtained at a single timepoint. Mood, comorbidity, and treatment over the 6 months preceding the MetS assessment were evaluated using the Longitudinal Interval Follow-Up Evaluation. RESULTS: The prevalence of MetS in the sample was 19.8% (32/162). Low HDL-C (56.5%) and abdominal obesity (46.9%) were the most common MetS criteria. MetS was nominally associated with lower lifetime global functioning at COBY intake (odds ratio [OR] = 0.97, P = .06). MetS was significantly associated with percentage of weeks in full-threshold pure depression (OR = 1.07, P = .02) and percentage of weeks receiving antidepressant medications (OR = 1.06, P = .001) in the preceding 6 months. MetS was not associated with manic symptoms or medications other than antidepressants. CONCLUSIONS: The prevalence of MetS in this sample was at least double compared to the general population. Moreover, MetS is associated with increased burden of depression symptoms in this group. Management of early-onset bipolar disorder should integrate strategies focused on modifying MetS risk factors.