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. Author manuscript; available in PMC: 2021 Mar 1.
Published in final edited form as: Bipolar Disord. 2019 Dec 17;22(2):139–154. doi: 10.1111/bdi.12877

Longitudinal Course and Risk Factors Associated with Psychosis in Bipolar Youth

Amit Shalev 1,2, John Merranko 1, Mary Kay Gill 1, Tina Goldstein 1, Fangzi Liao 1, Benjamin I Goldstein 3, Heather Hower 4, Neal Ryan 1, Michael Strober 5, Satish Iyengar 7, Martin Keller 4, Shirley Yen 4, Lauren M Weinstock 4, David Axelson 6, Boris Birmaher 1
PMCID: PMC7085953  NIHMSID: NIHMS1060845  PMID: 31749297

Abstract

Objectives:

To compare the longitudinal clinical course of youths with bipolar spectrumdisorders (BD) with lifetime (past, ntake, 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:

BD youths (BDP+ = 137, BDP− = 233) ages 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, living with one parent, BD-I/II, 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.

Introduction

Bipolar Disorder (BD) is a recurrent illness that affects 1–3% of youth, and is associated with poor psychosocial functioning and increased risk for behavior problems, substance abuse, and suicidality1, 2.

Depending on the setting and the methodology, prior studies report that between 16%–75% of youths with BD have psychotic symptoms during the course of their disorder3, 4. The presence of psychosis in youths and adults with BD (BDP+) is considered a marker of severity that is related to poor outcomes4, 5. However, the prognostic significance of BDP+ is not clear; the existing literature in BD youth is scarce, and the results reported in the adult BD literature are inconsistent. Also, it is unknown whether the development of psychosis worsens the course of BD or if more severe psychopathology existed before the onset of the psychosis. Moreover, risk factors associated with the development of psychosis in youth with BD are unknown, making it challenging to predict who will develop psychotic features.

There are few studies evaluating the effects of psychosis in BD youth (Table 1). Three cross-sectional studies reported that, compared to BD youth without psychosis (BDP−), BDP+ youth showed significantly lower Intelligence Quotient (IQ), and more suicidal ideation, psychiatric hospitalizations, family history of anxiety disorders, and suicide attempts6–8. The only existing longitudinal study showed that, in comparison with BDP− youth, BDP+ youth had higher rates of comorbid psychopathology, family history of psychosis, and poorer overall functioning in multiple domains4. Based on these results, the authors suggested that BDP+ might be considered a separate subtype of BD.

Table 1:

Literature Review Summary of Psychosis in Youths and Adults with Bipolar Disorder

Children and Adolescents
author-year age (years) sample study type instruments main findings
McCarthy et al 2016 7–18. mean age of14 43 with BD-I or BD-II, 7 with MDD, 30 with mood disorder-NOS CS WISC-IV IQ, Coding, Symbol Search (working memory) BDP+ showed lower IQs and greater working memory deficits than BDP−.
Hua et al 2011 (Biederman) 4–18. mean age of 13. 226 youth with BD-I or BD-II. Amongst them were both BDP+ and BDP−. Longitudinal K-SADS, SCID BDP+ have higher rates of comorbid psychopathology, family history of psychosis, and poorer overall functioning in multiple domains than BDP− youth.
Caetano et al 2006 8–17. mean age of 11. 43 youth with BD spectrum disorder. 17 BDP+ and 26 BDP−. CS K-SDAS Psychotic symptoms in pediatric BD patients are associated with suicidal ideation and plans, and psychiatric hospitalizations.
Birmaher 2006 7–17. mean age of 13. 263 youth with BD-I, BD-II, BD-NOS. Longitudinal K-SDAS Lifetime psychosis is a significant predictor of more time spent with any mood symptoms.
Rende et al 2006 7–17. mean age of 13. 263 youth with BD-I, BD-II, BD-NOS. CS K-SADS BDP+ had a higher percentage of positive family history of anxiety disorders and suicide attempts as compared to BDP−.
Adults
author-year age (years) sample study type instruments main findings
Jiménez-López et al 2018 mean age of 41 BD spectrum. 50 BDP+, 50 BDP−, 50 patients with schizophrenia (SZ), and 51 (HC). CS SCID–I, GAF, FAST, PANSS History of psychotic symptoms had no relevant impact on level of psychosocial functioning in BD.
Burton et al 2018 >=18, mean age of 41 BD-I, BD-II, BD-NOS. 168 affective-only BD patients (BDP−) and 213 BD patients with a history of psychosis (BDP+). Patients were already suffering from BD for more than 22 years in average. CS DIGS BDP− experienced greater chronicity of affective symptoms and more rapid cycling than BDP+ participants. Results contradict conventional notion that bipolar disorder with psychotic features represents a more severe illness than bipolar disorder without a history of psychosis.
Dell’Osso et al 2017 mean age of 48 BD spectrum. 207 BDP+, 153 BDP− CS SCID BDP+ had more comorbid substance use disorder, lower GAF and more lifetime hospitalizations. However, in the BDP+ group there was shorter duration of most recent episode, lower rates of comorbid anxiety disorders, and less usage of antidepressant medications.
Caldieraro et al 2017 mean age of 39.5 BD-I and BD-II. 32 with current psychotic depression and 271 with current non-psychotic depression. CS BISS Psychosis associated with more severe
depressive episode, higher suicidality, more comorbid conditions and worse functioning.
Soni et al 2017 18–55. Mea age of 33. BD spectrum. 30 BD patients with “low functioning” and 31 BD with “high functioning”. All patients were in euthymic state. CS GAF, Clinical interview (no specified instrument) No difference between low and high functioning BD groups in history of psychotic
symptoms.
Levi et al 2013 18–59. mean age of 38. BD-I (20 BDP+ and 35 BDP−) Longitudinal SCID, GAF, WASI At discharge and follow-up, BDP+ exhibited more mood symptoms, lower GAF scores, and poorer cognitive and executive functioning.
Carlson 2012 15–60. mean age of 25. 126 youth and adults with BD-I. Only BDP+. Longitudinal SCID, GAF, SAPS, SANS Poorer premorbid functioning, Schneiderian delusions, greater depressive symptoms, and a younger age of first hospitalization portend a worse course.
Canuso et al 2008 >=18. mean age of 37 BD-I. 259 BDP− and 256 BDP+. All patients present with acute mania. CS PANNS BDP+ had more severe manic scores and worse global functioning.
Keck et al 2003 >=18. mean age of 41 352 adults with BD-I CS SCID In this large cohort of outpatients with BD-I disorder, neither a history of psychosis nor of mood-incongruent psychosis had prognostic significance at entry into the Network.
Coryell et al 2001 >=17. mean age of 35 139 adults with BD-spectrum disorder. Longitudinal K-SADS Psychotic features in mania are associated with greater symptom severity and higher morbidity in the long-term.
Strakowski et al 1999 16–45. mean age of 27. 50 BD spectrum patients with their first manic episode. Longitudinal (8 months) SCID, SAPS Mood-incongruent psychosis that occurs during first manic episode appears to predict increased likelihood of persistent psychotic symptoms and worse overall clinical course, as compared to patients without mood-incongruent psychosis.
Tohen et al 1990 >17. No information about mean. 24 BD spectrum disorder with first manic episode. Longitudinal (4 years) BRS, LIFE Psychotic features during index episode were statistically significant predictors of shorter time in remission (both for developing manic and depressive episodes).

BDP−: bipolar patients without lifetime psychosis, BDP+: bipolar patients with psychotic symptoms, BISS-Bipolar Inventory of Symptoms Scale, BRS- Brief Resilience Scale, CS-cross-sectional, DIGS-Diagnostic Interview for Genetic Studies, FAST-Functioning Assessment Short Test, GAF-Global Assessment of Functioning, K-SDAS- Kiddie Schedule for Affective Disorders and Schizophrenia for School-Age Children, LIFE- Longitudinal Interval Follow-up Evaluation, PANSS-Positive and Negative Syndrome Scale, SANS-Schedule for the Assessment of Negative Symptoms, SAPS- Scale for the Assessment of Positive Symptoms, SCID-lifetime version of the Structured Clinical Interview for DSM-III-R, WASI-Wechsler Abbreviated Scale of Intelligence, WISC-V IQ-Wechsler intelligence scale for children-V intelligence quotient

Most, but not all, of the existing studies of BD adults, have shown that the presence of psychosis is generally associated with worse prognosis (Table 1). Both cross-sectional and longitudinal studies report that adults with BDP+ have more severe psychopathology, including mood symptoms, poorer functioning9–13, and more cognitive deficits14 than BDP− adults. Nevertheless, some of the cross-sectional studies showed no clinical or functional differences between BDP+ and BDP− adults15–17, and some even show a clinical advantage of BDP+ compared to BDP−18, 19.

The above-noted findings should be considered with caution, because the existing studies had one or more of the following limitations. Most studies were cross-sectional; longitudinal studies were carried out for short periods of time; only small samples were included; psychotic features were diagnosed retrospectively; persistence of psychosis was not considered; standardized tools for diagnosing psychosis were not used; and control groups were not included. Finally, the effects of confounding variables, such as age, sex, socioeconomic status (SES), and parental psychopathology were not always considered.

The Course and Outcome of BD Youth (COBY) study has been prospectively following a large group of youth with BD for over 15 years. COBY reported that BD in youth is a recurrent disorder characterized by syndromal and sub-syndromal mood symptoms20, 21. Factors such as early BD onset, comorbid disorders, and lower SES have been found to be associated with worse course and outcome20. A prior COBY paper presented a cross-sectional analysis showing that BPD+ was associated with higher rates of suicidality, more time spent with any mood symptoms, and family history of anxiety disorders and suicide attempts, as compared to BDP− youth7.

The aim of the current study is to extend the above findings, by comparing the demographics/clinical characteristics of psychosis in BDP+ youth, and the effects of psychosis on the longitudinal course of BD. Also, within the BDP+ group we examine: 1) the clinical course of youth who had only one psychotic episode, as compared to those who had two or more lifetime (past, intake and/or during follow-up) psychotic episodes; 2) the clinical symptoms and longitudinal course before and after the onset of a new episode of psychosis, as compared to youth who never developed psychosis; and 3) the risk factors associated with first lifetime onset of psychosis during the follow-up.

Based on the literature, and after adjusting for confounding factors, we hypothesized that 1) the longitudinal clinical course and psychosocial functioning would be poorer in the BDP+ group compared to the BDP− group, particularly in youth with multiple psychotic episodes; 2) the clinical course of the BDP+ group would further deteriorate after the onset of psychosis as compared to the BPD‒ group, and 3) although there are no studies focusing on the risk of developing first lifetime onset of psychosis in youth with BD, we hypothesized that comorbid psychiatric disorders, early-onset BD, and family history of psychosis would be associated with increased risk for first lifetime onset of psychosis.

METHODS

Participants:

The methods for the COBY study have been described in detail elsewhere20. Briefly, 446 youth aged 7–17 years with Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM- IV) BD-I or II, or an operationally defined BD-NOS, were recruited at Brown University, University of California Los Angeles, and the University of Pittsburgh. Age of BD onset was defined as the onset of a DSM- IV mood episode or an episode fulfilling COBY’s BD- NOS criteria. BD-NOS was defined as a distinct period(s) of abnormally elevated, expansive or irritable mood, plus: (i) at least two DSM- IV manic symptoms (three if the mood was irritable only) that were clearly associated with the onset of abnormal mood; (ii) clear change in functioning; (iii) mood and symptoms present for a significant part of the day (minimum of 4 hours); and (iv) a minimum of 4 days (not necessarily consecutive) meeting these mood, symptom, duration, and functional change criteria over the participant’s lifetime. Youth with COBY-defined BD-NOS were previously shown to have a comparable, but less severe, clinical picture, similar family history, rates of comorbid disorders, and longitudinal outcome, as compared to BD-I youths, and to have a high risk to convert to BD-I/II. BD youth were enrolled independently of current mood state or treatment status. Youth with schizophrenia, mental retardation, autism, and mood disorders secondary to use of substances, medications, or medical conditions were excluded from the study. BD youth were recruited from outpatient clinics (84.4%), inpatient units (4.4%), advertisements (6.7%) and referrals from other physicians (4.4%), from October 2000 through July 2006. During the follow-up, 12 of the BD youths fulfilled criteria for schizoaffective disorder, and 7 for schizophrenia.

The analyses presented in this report are based on the prospective evaluation of 370 youths with at least four years of follow-up, including 221 (59.7%) with BD-I, 26 (7.0%) with BD-II, and 123 (33.2%) with BD-NOS. At the time this article was written, youths had been prospectively interviewed approximately every seven months for a median of 11.7 years with a retention rate of 83%. Except for higher rates of generalized anxiety disorder (GAD) in youths who dropped from the study (21.4% vs. 13.4%, p=0.05), there were no other demographic or clinical differences between the youths who continued or withdrew from COBY. Each university’s Institutional Review Board approved the study before enrollment of any youth, and consents and assents were obtained from parents and youth respectively.

For the analyses, the sample was divided into 2 groups: youths with (BDP+) (n=137), or without (BDPBDP) (n=233), lifetime psychotic symptoms. The average age of BD onset was around 9 years old, with no significant difference between the two groups.

Among the BDP+ group, 40 youths (29%) experienced psychotic symptoms only at/before intake, 55 (40%) experienced symptoms only during follow-up, and 42 (31%) experienced symptoms both at/before intake and during follow-up (For more detailed information see Supplemental Table 1). The psychotic symptoms did not necessarily occur within syndromal mood episodes, but could have also occurred while youths had subsyndromal mood symptoms. Of the BDP+, 31 (32%) never had psychotic symptoms outside of the syndromal mood episodes, 51 (53%) had psychotic symptoms both in and out of syndromal mood episodes, and 15 (15%) had all of their psychotic symptoms outside of the syndromal mood episodes. Of those psychotic symptoms that did not occur during the syndromal mood episode, most occurred together with subsyndromal symptoms. Of note, if the psychotic symptoms occurred without any mood disturbance for the period specified by DSM-IV, the participant was diagnosed with schizoaffective disorder, or where indicated, schizophrenia.

In order to investigate the prognostic role of psychosis in the course of BD, the BDP+ group was further divided into 2 subgroups: BD youth with only one-lifetime psychotic episode (n=91), and youth with two or more lifetime psychotic episodes (n=46; mean number of episodes = 4.8, median = 3). With the aim to explore the influence of psychosis on the BD trajectory, we also analyzed the data from youth who developed their first lifetime psychotic features during the follow-up (n=55), and contrasted them with youth who never developed psychotic symptoms (n=233).

Examples of psychotic symptoms include: a 14 year-old female, who during a depressed episode, saw angels and heard their voices, dropped to her knees to pray, and begged her mother “not to let them go away”; a 7 year-old female that believed that she could fly while she was manic; a 15 year-old female who reported, while being depressed, seeing a dead man at the foot of her bed, and other dead people in her room; and a 12 year-old female who believed she was being watched by cameras while she was depressed.

Instruments:

At intake, youths and parents (about their children) were directly interviewed for the presence of current and lifetime psychiatric disorders using the Schedule for Affective Disorders and Schizophrenia for School-Age Children, Present and Lifetime Version (K-SADS-PL)22, the K-SADS Mania Rating Scale (K-MRS), and the K-SADS Depression Rating Scale (K-DRS)23.

At intake, a youth was considered positive for psychosis if either the hallucinations or delusions item was rated as ‘threshold, definitely present” in the K-SADS-PL screening interview, or as “moderate” or greater on the K-MRS (≥ 4). “Moderate” (K-MRS = 4) in the K-MRS Hallucinations item is defined as “generally believes in the reality of the hallucinations, but it has little influence on her/his behavior”; “moderate” (K-MRS =4) for the K-MRS Delusions item is: “generally has conviction in her/his belief”.

Longitudinal changes in psychiatric symptomatology since the previous evaluation were assessed every 7 months on average using the Adolescent Longitudinal Interval Follow-up Evaluation (A-LIFE) and tracked on a week-by-week basis using this instrument’s Psychiatric Status Rating scale (PSR)24. The Psychiatric Status Ratings are numeric values that have been operationally linked to the DSM-IV criteria. Utilizing a procedure similar to the timeline follow-back (TLFB) method, at each interview there is a retrospective recall of weekly symptomatology from the previous interview to the current interview, utilizing a calendar and several memory aids25. The ratings indicate the severity level of an episode, as well as whether the participant has recovered or had a recurrence. For mood disorders, the PSR scores range from 1 for no-symptoms, 2 to 4 for increasing levels of subthreshold symptoms and impairment, and 5 to 6 for full criteria with increasing degrees of severity or impairment. Hallucinations and delusions were rated on a 3-point scale on the PSR: 1 indicates “no psychosis”, 2 means “possible psychosis”, and 3 indicates “definite psychosis”. Only those rated 3 were defined as psychotic in this study.

The consensus scores obtained after interviewing parents and their children were used for the analyses. The K-SADS-PL, K-MRS, and K-DRS, provided data regarding the severity of the psychotic symptoms. These data were complemented by narrative notes written by interviewers after each assessment visit to describe the content of the psychosis. All data and narrative notes were reviewed by three of the study’s senior clinicians to ensure the validity of the psychotic symptoms.

Suicidal ideation, self-injurious behavior, and suicide attempts during follow-up were ascertained using the A-LIFE method to create an A-LIFE Self-Injurious/Suicidal Behavior Scale26. Psychosocial functioning was assessed as part of the A-LIFE interview using the instrument’s psychosocial functioning scale (PSF), and by the Children’s Global Assessment Scale (C-GAS) for those under age 22, and the Global Assessment of Functioning (GAF) for those over age 22, for quantification of functioning at home, school, and work24, 27. Anxiety disorders were assessed by the A-LIFE, and by the Screen for Child Anxiety Related Emotional Disorders (SCARED)28. Intellectual functioning was assessed using the vocabulary and matrix reasoning subtests of the Wechsler Abbreviated Scales of Intelligence29. History of pregnancy and birth complications (e.g., smoking during pregnancy, premature birth) were collected using a clinical child health history questionnaire completed by parents at intake.

All assessments were completed by research staff trained to reliably administer the above-noted interviews, and presented to child psychiatrists/psychologists who confirmed the diagnoses and the K-SADS/PSR ratings. The overall K-SADS kappas coefficients for psychiatric disorders were ≥ 0.8. The intraclass correlation coefficients for the K-MRS and the K-DRS were ≥ 0.95. The intraclass correlation coefficients for syndromal and subsyndromal mood disorders ascertained through the PSRs and using the methods as described elsewhere30 were 0.75. More specifically, the intraclass coefficient correlations and the Kendall’s coefficients of concordance for a major depressive episode were between 0.74 and 0.79, respectively, and for mania/hypomania, 0.6–0.67, respectively.

Statistical Methods

Statistical analyses were all performed in SAS 9.4 and R 3.5.1.

Youths with and without psychosis were compared using chi-squared, Fisher’s exact, and t-tests as appropriate. Rates of psychiatric hospitalizations, suicide attempts, and self-injury were contrasted using negative-binomial regression. Contrasts of time-varying measures were tested via mixed linear and generalized linear regressions fitting a random intercept to account for within-subject correlation. Square-root transformations were used to remedy residual nonnormality in SCARED mixed linear regressions, and gamma regressions (after implementation of +1 transformation and estimation of robust standard errors) were used to handle the very skewed distributions of the K-MRS and K-DRS. Longitudinal PSR measures were modeled via mixed logistic regression (dichotomized as 100% threshold vs. otherwise). Mixed regressions were adjusted for age, as well as concurrent demographic and diagnostic factors on which groups significantly differed at the 0.1 level (SES, anxiety, and BD subtype), except for the PSR models, which did not adjust for the diagnostic factors, since they were ascertained via the PSR measures themselves. Group-by-age (mean-centered) interactions were tested in all mixed models and retained where significant, and a quadratic age effect was used in all PSR anxiety models. Satterthwaite approximation was used in all linear models to account for differing subsample variances.

The second phase of the analysis sought to further subdivide the lifetime psychosis subsample by whether youth had only one vs. multiple psychotic episodes. Because the number of lifetime psychotic episodes before intake was not ascertained, but rather the history of presence or absence of psychosis (yes/no), the lifetime psychosis subsample was subdivided based on the number of follow-up episodes. The first subgroup included youths who either had only one psychotic episode during follow-up, or had zero episodes during follow-up, but reported a history of psychotic symptoms before intake (n=91). The second subgroup included youths with 2+ psychotic episodes during follow-up (n=46), disregarding if they had episodes of psychosis before intake. All the above-mentioned statistical tests were then repeated using this three-way grouping variable instead of the initial two-way grouping variable. To account for multiple comparisons, pairwise contrasts implemented Tukey adjustments in linear and generalized linear models, and Bonferroni adjustments in chi-squared tests.

To identify predictors of new psychosis onset among youths who had no history of psychosis at intake, a Cox proportional hazards lasso was implemented to simultaneously perform variable-selection and shrinkage of regression coefficients among dozens of predictor variables, including intake demographics, prenatal/birth factors, categorical and dimensional clinical features, and family history of psychiatric illness. Cross-validation selected the optimal lambda via the one-standard-error rule31. Because only 55 youths developed psychosis during follow-up, the number of folds was set to three, and fold-randomization was stratified to ensure balance on the outcome variable. Hazard ratios are reported for predictors with nonzero coefficient estimates (standardized for continuous predictors; Supplemental Table 2).

Comparisons between youths who later went on to develop schizoaffective disorder or schizophrenia, and youths with BPD+ and BPD-, were conducted using linear models and Fisher’s exact tests.

Lastly, several sensitivity analyses were performed to test whether findings were driven by youths who went on to develop schizophrenia and schizoaffective disorder, as well as to test whether significant between-group differences held when only considering data outside of psychotic episodes. False discovery rate (FDR) correction was implemented in each section of analysis to account for the multitude of tests performed.

Results:

Clinical course and social functioning between BDP+ and BDP− youths:

As shown in Table 2, BDP+ youths (n=137) had significantly lower SES, and were significantly more likely to have BD-I subtype, history of physical/sexual abuse, anxiety disorders, and family history of mania, suicidality, conduct, and anxiety disorders than BDP− youths (n=233; note that SES, separation anxiety disorder, Post-Traumatic Stress Disorder [PTSD], and family history of conduct and anxiety disorders findings were nonsignificant after FDR correction). BDP+ youths also had higher rates of psychiatric hospitalization, suicidal ideation, suicide attempts, and self-injury. After controlling for age, SES, anxiety, and BD-subtype, BDP+ youths showed worse longitudinal functioning in all areas (Table 2). During the follow-up, BDP+ youths had significantly more dimensional symptoms of depression, mania, and anxiety, and lower functioning levels than BDP− youths, as reported by parental and child reports. Of these factors, there was a significant group-by-time interaction in psychosocial functioning and anxiety levels (Figure 1). Depression, mania, and anxiety levels were more severe in the BDP+ youths compared to the BDP− youths, and tended to improve gradually in both groups during the years. The psychosocial functioning levels were poorer in the BDP+ youths compared to the BDP− youths. Notably, the functioning levels of the BDP+ youths further deteriorated over follow-up, whereas it remained unchanged in the BDP− youths. Lastly, BDP+ youths had less follow-up time with euthymia, and more follow-up time with threshold episodes of major depression and hypo/mania, and anxiety disorders.

Table 2:

Demographic and Clinical Factors between Youths with Bipolar Disorder with lifetime psychosis (BDP+) and Youths with Bipolar Disorder without Lifetime Psychosis (BDP−)

Variable Mean ± SD or N (%) Test Stat p-values
No Lifetime
Psychosis (n=233)
Lifetime
Psychosis (n=137)
Demographics Intake Age 12.6 ± 3.4 12.7 ± 3.1 t=0.11 0.9
SES(Intake + Follow-up) 4.1 ± 0.7 3.9 ± 0.7 F=3.72 0.05
Female % 105 (45.1%) 67 (48.9%) χ2=0.51 0.5
Self-Reported White % 193 (82.8%) 112 (81.8%) χ2=0.07 0.8
Lives with Both Biological Parents at Intake 105 (45.1%) 50 (36.5%) χ2=2.60 0.1
Prenatal/Birth Stats Mother’s Age at Birth of Child (years) 26.9 ± 5.8 26.7 ± 5.8 t=0.30 0.8
Birth Weight 7.1 ± 1.4 6.9 ± 1.4 t=0.66 0.5
Days in Hospital after Birth 3.2 ± 4.1 3.6 ± 6.3 Z=1.10 0.3
Drank Alcohol while Pregnant 19 (9.5%) 9 (7.9%) χ2=0.23 0.6
Smoked while Pregnant 49 (24.3%) 36 (31.6%) χ2=1.99 0.2
Premature Birth 21 (10.2%) 9 (8.0%) χ2=0.41 0.5
Any Birth Complications 77 (37.8%) 47 (42.0%) χ2=0.54 0.5
Lifetime Clinical Variables Bipolar Onset Age (years) 9.4 ± 3.9 9.2 ± 4.0 t=0.38 0.7
Bipolar Disorder Subtype
 BD-I 150 (64.4%) 115 (83.9%) χ2=16.83 0.0002
 BD-II 40 (17.2%) 13 (9.5%)
 BD-NOS 43 (18.5%) 9 (6.6%)
Physical/Sexual Abuse 59 (25.5%) 56 (40.9%) χ2=9.41 0.002
ADHD 164 (70.4%) 90 (65.7%) χ2=0.88 0.3
Disruptive Behavior Disorders 154 (66.1%) 86 (62.8%) χ2=0.42 0.5
Anxiety Disorder 159 (68.2%) 113 (82.5%) χ2=8.99 0.003
 Panic Disorder 27 (11.6%) 38 (27.7%) χ2=15.54 <0.0001
 Separation Anxiety 59 (25.3%) 50 (36.5%) χ2=5.18 0.02†
 Specific Phobia 77 (33.1%) 65 (47.5%) χ2=7.56 0.006
 Social Phobia 48 (20.6%) 33 (24.1%) χ2=0.61 0.4
 GAD 75 (32.2%) 61 (44.5%) χ2=5.65 0.02
 OCD 36 (15.5%) 25 (18.3%) χ2=0.49 0.5
 PTSD 41 (17.6%) 38 (27.7%) χ2=5.28 0.02†
Substance Use Disorder 94 (40.3%) 58 (42.3%) χ2=0.14 0.7
Eating Disorders 5 (2.2%) 6 (4.4%) χ2=1.49 0.2
Psychiatric Hospitalizations
(days per year)
1.2 ± 3.3 3.7 ± 6.8 Negative Binomial Wald χ2=17.41 <0.0001
Suicidality,
Self-Injury
Suicidal Ideation 181 (77.7%) 123 (89.8%) χ2=8.62 0.003
Suicide Attempts (per year) 0.04 ± 0.1 0.14 ± 0.3 Negative Binomial Wald χ2=33.07 <0.0001
Self-Injury (per year) 0.18 ± 0.2 0.42 ± 0.7 Negative Binomial Wald χ2=16.58 <0.0001
Family History Depression 201 (86.3%) 124 (90.5%) χ2=1.46 0.2
Mania 127 (54.5%) 92 (67.2%) χ2=5.71 0.02
ADHD 108 (46.4%) 67 (48.9%) χ2=0.23 0.6
CD 77 (33.1%) 60 (43.8%) χ2=4.27 0.04†
Schizophrenia 16 (6.87%) 13 (9.49%) χ2=0.82 0.4
Psychosis 38 (16.3%) 31 (22.6%) χ2=2.27 0.1
Anxiety 167 (71.7%) 111 (81.0%) χ2=4.04 0.04†
SUD 159 (68.2%) 104 (75.9%) χ2=2.47 0.1
Suicidality 109 (46.8%) 84 (61.3%) χ2=7.30 0.007
Variable Least-Square Mean (95% Confidence Interval) Test Stat p-value
No Lifetime
Psychosis (n=233)
Lifetime
Psychosis (n=137)
Cognitive and Functioning Variables WASI IQ 108.17 (105.65, 110.69) 104.77 (101.48, 108.06) F=3.08 0.1
CGAS/GAF* 63.37 (62.18, 64.56) 59.91 (58.31, 61.51) F=13.39 0.0003
PSF Total* 10.66 (10.36, 10.96) 11.39 (10.99, 11.79) F=9.74 0.002
PSF Work* 3.21 (3.12, 3.30) 3.39 (3.27, 3.51) F=6.27 0.01
PSF School 2.80 (2.70, 2.91) 2.91 (2.77, 3.06) F=1.87 0.2
Symptom Scales K-DRS 6.67 (6.04, 7.36) 9.44 (8.43, 10.56) χ2=21.23 <0.0001
K-MRS 6.83 (6.10, 7.62) 8.82 (7.77, 10.01) χ2=10.07 0.002
SCARED (Parent Report)* 15.86 (14.23, 17.58) 20.78 (18.32, 23.38) F=11.97 0.0006
SCARED (Child Report) 13.30 (11.77, 14.90) 19.82 (17.39, 22.41) F=23.73 <0.0001
Follow-up Variables Odds Ratio (95% Confidence Interval) F-Stat p-value
PSR Measures Euthymia 0.46 (0.32, 0.66) 17.89 <0.0001
Major Depression 2.27 (1.66, 3.11) 26.11 <0.0001
Hypo/Mania 2.33 (1.71, 3.18) 28.41 <0.0001
Anxiety 2.71 (1.73, 4.23) 19.07 <0.0001
ADHD 1.27 (0.74, 2.18) 0.77 0.4
DBD 0.89 (0.56, 1.41) 0.26 0.6
SUD 1.02 (0.60, 1.74) 0.01 0.9
*

Age interaction significant

“†”

Superscripts indicate p-values were significant at the 0.05 level but nonsignificant after adjustment for false discovery rate (FDR).

ADHD: attention deficit hyperactivity disorder, BD-NOS: bipolar disorder not otherwise specified, CD: conduct disorder, C-GAS: Children’s Global Assessment Scale, DBD: disruptive behavior disorder, including Conduct Disorder (CD) and Oppositional Defiant Disorder (ODD), GAD: generalized anxiety disorder, GAF: global assessment of functioning, K-DRS: K-SADS Depression Rating Scale, K-MRS: K-SADS Mania Rating Scale, OCD: obsessive compulsive disorder, PSF: psychosocial functioning scale from the Adolescent Longitudinal Interval Follow-Up Evaluation (A-LIFE), PTSD: post-traumatic stress disorder, SCARED: Screen for Child Anxiety Related Emotional Disorders, SUD: substance use disorder (including all alcohol and substance abuse and dependence disorders), WASI: Wechsler Abbreviated Scales of Intelligence

Figure 1: Longitudinal Course of Depressive, Manic and Anxiety Symptoms, and Psychosocial Functioning of Youths with Bipolar Disorder with Lifetime Psychosis (BDP+) Compared to Youths with Bipolar Disorder without Lifetime Psychosis (BDP−).

Figure 1:

K-DRS: K-SADS Depression Rating Scale, K-MRS: K-SADS Mania Rating Scale, PSF: Psychosocial Functioning Scale of A-LIFE, SCARED: Screen for Child Anxiety Related Emotional Disorders.

Significant group-by-time interaction stats: SCARED F-stat=14.23, p=0.0002; PSF total score F-stat=14.57, p-value=0.0001

Comparisons between BDP+ youths with one lifetime psychotic episode and BDP+ youths with two or more lifetime psychotic episodes during follow-up:

Similar to the results noted above, youths with ≥ 2 psychotic episodes had significantly more psychopathology and poorer functioning when compared with BDP− youths (Supplemental Table 3). In addition, when compared with youths with one psychotic episode (n=91), the youths with ≥ 2 psychotic episodes (n=46) had significantly more GAD, PTSD, psychiatric hospitalizations, suicide attempts, and worse functioning levels (Supplemental Table 3). Those with one psychotic episode had higher rates of BD-I, panic disorder, specific phobia, and more symptoms of depression and anxiety compared with the BPD− group (note that the specific phobia finding was nonsignificant after FDR correction).

First lifetime onset of psychosis during follow-up:

A total of 55 youths experienced their first psychotic episodes during follow-up (median onset age = 17.8). The majority of the first lifetime psychotic episodes included only hallucinations (55%), followed by only delusions (25%) and a combination of the two (20%). There was no significant association between the type of psychotic symptoms and the age in which the psychosis first emerged. Further, most of the first lifetime psychotic episodes emerged while youths experienced rapid cycling/mixed symptoms (53%); 24% were experiencing only depression, 13% only hypo/mania, and 11% no concurrent mood symptoms. Of these 55 youths, 22 (40%) had subsequent psychotic episodes during follow-up, reporting hallucinations on average during 4% of follow-up time, and delusions during 5% of follow-up time. Most of these subsequent psychotic episodes occurred while experiencing depressive or rapid cycling/mixed symptoms (44% and 40%, respectively); 13% featured only hypo/mania, and 4% featured no concurrent mood symptoms.

Except for lower SES in the youths with first onset of psychosis during the follow-up (n=55), there were no significant between-group differences in demographics and duration of follow-up compared to youths who never had psychosis until the end of follow-up (n=233) (Table 3). Youths who developed psychosis during follow-up had significantly more BD-I, specific phobia, GAD, poorer psychosocial functioning, and depressive, manic, and anxiety symptoms, family history of mania, conduct disorder, and suicidality at intake, and were more likely to have mothers who smoked during pregnancy than BPD- youths. Note that after adjusting for multiple comparisons, all comparisons remained significant, with the exception of history of prenatal smoking, BD-I, GAD, poor school functioning, and family history of conduct disorder (see Table 3). The differences in severity of depressive and anxiety symptoms and levels of functioning increased as youths aged, and groups did not significantly differ in functioning at intake (Figures 2a, 2b, 2e). Psychosocial functioning, depression severity (K-DRS), and anxiety (SCARED) improved over time in the BDP− youths during follow-up. In contrast, they remained fairly unchanged among those who developed first lifetime onset of psychosis. In addition to the severity scores, we measured the rate of threshold depressive symptoms during the follow-up (Figure 2c). These analyses showed that the rate of threshold depressive symptoms increased over time in the BDP+ group, but not in the BPD- group. The first lifetime onset of psychosis group had significantly higher mania scores as compared to the BPD- group, however, both groups improved similarly over time (the slopes of both groups decreased) (Figure 2d). Finally, youths who developed first psychosis during follow-up were significantly more likely to experience episodes of threshold major depression (which increased with age), hypo/mania, and anxiety disorders during follow-up, than youths with BPD-.

Table 3:

Comparison of Demographic and Clinical Factors between Youths with First lifetime onset of psychosis during the Follow-up vs. Youths with Bipolar Disorder without Lifetime Psychosis (BDP−)

Intake Variables Developed Psychosis
during Follow-up (n=55)
Never Developed
Psychosis (n=233)
Test Stat p-value
Demographics Intake Age 12.6 ± 3.4 12.6 ± 3.4 t=0.08 0.9
Socioeconomic Status 3.0 ± 1.2 3.5 ± 1.2 t=2.87 0.004
% Female 30 (54.6%) 105 (45.1%) χ2=1.61 0.2
% Self-Reported White 44 (80.0%) 193 (82.8%) χ2=0.25 0.6
Lives with Both Biological Parents 18 (32.7%) 105 (45.1%) χ2=2.77 0.1
Prenatal/Birth Stats Mother’s Age at Birth of Child 26.2 ± 5.9 26.9 ± 5.8 t=0.74 0.5
Birth Weight 6.9 ± 1.4 7.1 ± 1.4 t=0.65 0.5
Days in Hospital after Birth 3.8 ± 8.6 3.2 ± 4.1 Z=0.11 0.9
Drank Alcohol while Pregnant 5 (10.6%) 19 (9.5%) Fisher’s Exact 0.8
Smoked while Pregnant 19 (40.4%) 49 (24.3%) χ2=5.02 0.03†
Premature Birth 2 (4.4%) 21 (10.2%) Fisher’s Exact 0.2
Any Birth Complications 18 (40.0%) 77 (37.8%) χ2=0.08 0.8
Clinical Variables Bipolar Onset Age 9.3 ± 4.2 9.4 ± 3.9 t=0.10 0.9
Bipolar Disorder Subtype
 BD-I 39 (70.9%) 122 (52.4%) χ2=6.75 0.03†
 BD-II 4 (7.3%) 18 (7.7%)
 BD-NOS 12 (21.8%) 93 (39.9%)
Physical/Sexual Abuse 12 (21.8%) 36 (15.5%) χ2=1.30 0.3
ADHD 31 (56.4%) 140 (60.1%) χ2=0.26 0.6
Disruptive Behavior Disorders 31 (56.4%) 113 (48.5%) χ2=1.10 0.3
Anxiety 26 (47.3%) 82 (35.2%) χ2=2.77 0.1
 Panic Disorder 4 (7.3%) 8 (3.4%) Fisher’s Exact 0.3
 Separation Anxiety 14 (25.5%) 50 (21.5%) χ2=0.41 0.5
 Specific Phobia 15 (27.3%) 30 (12.9%) χ2=7.00 0.008
 Social Phobia 2 (3.6%) 11 (4.7%) Fisher’s Exact ~1
 GAD 11 (20.0%) 24 (10.3%) 3.92 0.05†
 OCD 1 (1.8%) 14 (6.0%) Fisher’s Exact 0.3
 PTSD 4 (7.3%) 13 (5.6%) Fisher’s Exact 0.7
Eating Disorders 1 (1.8%) 3 (1.3%) Fisher’s Exact 0.6
Psychiatric Hospitalizations
(per year)
0.17 ± 0.1 0.15 ± 0.1 Poisson Wald
χ2=0.88
0.3
Family History Depression 51 (92.7%) 201 (86.3%) χ2=1.70 0.2
Mania 43 (78.2%) 127 (54.5%) χ2=10.31 0.001
ADHD 24 (43.6%) 108 (46.4%) χ2=0.13 0.7
CD 27 (40.1%) 77 (33.1%) χ2=4.96 0.03†
Schizophrenia 8 (14.6%) 16 (6.9%) Fisher’s Exact 0.1
Psychosis 15 (27.3%) 38 (16.3%) χ2=3.56 0.06
Anxiety 44 (80.0%) 167 (71.7%) χ2=1.57 0.2
SUD 40 (72.7%) 159 (68.2%) χ2=0.42 0.5
Suicidality 38 (69.1%) 109 (46.8%) χ2=8.86 0.003
Follow-up Variables Least-Square Mean (95% Confidence Interval) Test Stat p-value
Developed Psychosis
during Follow-up (n=55)
Never Developed
Psychosis (n=233)
Cognitive and Functioning Variables WASI IQ 105.41 (100.34, 110.49) 108.29 (105.31, 111.27) F=1.12 0.3
CGAS/GAF* 57.61 (54.98, 60.25) 62.93 (61.39, 64.47) F=15.27 0.0001
PSF Total* 12.03 (11.39, 12.66) 10.87 (10.50, 11.24) F=12.32 0.0005
PSF Work* 3.50 (3.32, 3.68) 3.23 (3.12, 3.34) F=8.09 0.005
PSF School * 3.11 (2.89, 3.34) 2.84 (2.71, 2.97) F=5.75 0.02†
Symptom Scales K-DRS 11.09 (9.32, 13.16) 7.21 (6.50, 7.99) χ2=12.60 0.0004
K-MRS 10.13 (8.44, 12.13) 7.28 (6.35, 8.33) χ2=9.25 0.002
SCARED (Parent Report)* 121.51 (118.04, 125.03) 118.71 (116.61, 120.83) F=2.46 0.1
SCARED (Child Report) 122.88 (119.31, 126.49) 115.97 (113.83, 118.13) F=14.40 0.0002
Follow-up Variables Odds Ratio (95% Confidence Interval) F-Stat p-value
PSR Measures Euthymia 0.35 (0.21, 0.61) 14.34 0.0002
Major Depression* 2.61 (1.68, 4.07) 17.24 <0.0001
Hypo/Mania 2.33 (1.55, 3.50) 16.73 <0.0001
Anxiety 3.00 (1.62, 5.57) 12.12 0.0005
ADHD 1.17 (0.56, 2.41) 0.10 0.8
DBD 1.45 (0.78, 2.73) 1.21 0.3
SUD 0.93 (0.45, 1.93) 0.04 0.8
*

Age interaction significant

“†”

Superscripts indicate p-values were significant at the 0.05 level but nonsignificant after adjustment for false discovery rate (FDR).

ADHD: attention deficit hyperactivity disorder, BD-NOS: bipolar disorder not otherwise specified, CD: conduct disorder, C-GAS: Children’s Global Assessment Scale, DBD: disruptive behavior disorder, including Conduct Disorder (CD) and Oppositional Defiant Disorder (ODD), GAD: generalized anxiety disorder, GAF: global assessment of functioning, K-DRS: K-SADS Depression Rating Scale, K-MRS: K-SADS Mania Rating Scale, OCD: obsessive compulsive disorder, PSF: psychosocial functioning scale from the Adolescent Longitudinal Interval Follow-Up Evaluation (A-LIFE), PTSD: post-traumatic stress disorder, SCARED: Screen for Child Anxiety Related Emotional Disorders, SUD: substance use disorder (including all alcohol and substance abuse and dependence disorders), WASI: Wechsler Abbreviated Scales of Intelligence

Figure 2: Longitudinal Course of Depressive, Manic, and Anxiety Symptoms and Psychosocial Functioning of Youths with Bipolar Disorder with lifetime psychosis (BDP+) who had First lifetime onset of psychosis during the Follow-Up Compared to Youths with Bipolar Disorder without Lifetime Psychosis (BDP−).

Figure 2:

GAF: General Assessment of Functioning, C-GAS: Children’s Global Assessment Scale, K-DRS: K-SADS Depression Rating Scale, K-MRS: K-SADS Mania Rating Scale (K-MRS), SCARED: Screen for Child Anxiety Related Emotional Disorders. Significant group-by-time interaction stats: SCARED F-stat=11.24, p-value=0.0008; C-GAS/GAF F-stat=37.87, p-value<0.0001; PSR Depression F-stat=7.51, p-value=0.006

Risk factors associated with first lifetime onset of psychosis:

Any anxiety, history of psychiatric hospitalizations, and family history of mania and suicidality were associated with increased risk to develop psychosis (hazard ratios between 1.25–1.64; Supplemental Table 2). Higher SES, living with both biological parents, and BD-NOS (vs. BD-I/II) were found to be protective factors (hazard ratios between 0.83–0.93).

Schizoaffective Disorder and Schizophrenia

During the follow-up, 12 youths were diagnosed with schizoaffective disorder and 7 with schizophrenia. Of these 19 youths, 6 reported psychosis before intake and 12 developed psychosis over follow-up. Exploratory analyses indicated that, in comparison with BPD- and other BPD+, these youth were more likely to have anxiety disorders, history of suicide attempts, lower SES, and family history of anxiety (p-values<0.04). However, given the small sample size of youths with schizoaffective or schizophrenic disorders, the above findings should be considered with caution. Excluding these youth from the above analyses yielded similar findings.

Discussion:

This is the largest longitudinal study to examine the effects of psychosis in youth with BD. Also, this is the first study to analyze the clinical course and functioning of youth with BD before and after the first onset of psychosis.

In summary, 137 (37%) youth showed significant psychotic symptoms; 91 (24%) had one lifetime psychotic episode, and 46 (12%) had two or more lifetime psychotic episodes. Fifty-five youths (15%) had a new onset of psychosis during the follow-up, with most psychotic episodes occurring during mixed/rapid cycling mood episodes, followed by only depression, and only hypo/mania. This subgroup experienced psychotic symptoms only 5% of the follow-up time. In addition, 12 youths (3%) developed schizoaffective disorder during follow-up, and 7 (1.5%) developed schizophrenia.

As hypothesized, after adjusting for confounders, the clinical and psychosocial longitudinal course of BDP+ youths was characterized by higher rates of mood and anxiety symptoms, suicidality, psychiatric hospitalizations, history of sexual/physical abuse, and poorer psychosocial functioning, than those BDP− youth. Youth with psychosis also showed significantly more family history of suicidality, mania, anxiety, and conduct problems than BDP− youth. The same results were found when the analyses only included youth who had their first psychotic episode during the follow-up.

The presence of two or more lifetime psychotic episodes was associated with the poorest course and outcome, but even one psychotic episode was associated with a worse prognosis when compared with youth with BDP−.

Predictors associated with increased risk of developing first lifetime onset of psychosis included lower SES, living with only one biological parent (vs. both biological parents), being diagnosed with BD-I/II (vs. BD-NOS), having any anxiety disorder, history of psychiatric hospitalizations, and family history of mania and suicidality.

Before discussing the above-noted results in more detail, the following limitations should be considered. First, this is not a study of the relationship of psychosis to mood symptoms. We considered psychosis to function as a comorbidity rather than a specifier of a mood episode (e.g. mania, severe, with psychotic features of depression, severe, with psychotic features). The A-LIFE PSR only recorded presence or absence of hallucinations or delusions over follow-up, not their type, severity, occurrence during depression or mania or mood congruence. Second, for those who reported past psychotic episode(s) at intake, the number of episodes was not ascertained. Third, the majority of participants were self-reported White (reflecting the race distribution of the general population in the metropolitan areas surrounding each study site at the time of original enrollment), and were recruited from clinical settings, which may limit the generalizability of the results. Nonetheless, course and morbidity in non-clinically referred BD youth have been shown to be similar to those in referred populations32. Fourth, although this study is prospective, data about psychotic symptoms collected through the A-LIFE (via a method similar to TLFB) was assessed retrospectively at each follow-up visit, and thus subject to recall bias. Nevertheless, TLFB has been used extensively for > 30 years in clinical and nonclinical research studies25. Finally, the effects of medications were not analyzed because our study is naturalistic, and therefore the prescription of medications would be confounded by the indication (e.g., youth with more severe symptoms may have been treated more aggressively and sometimes with polypharmacy).

Similar to the existing literature, youths with BDP+, particularly those with more persistent psychosis, had worse clinical course and psychosocial functioning than those with BDP− (Table 1). For example, Hua and colleagues assessed 226 youth with BD, and showed that BDP+ youths had higher rates of comorbid psychopathology, family history of psychosis, and poorer overall functioning in multiple domains, than youth with BDP−4. McCarthy and colleagues assessed the cognitive correlates of psychosis in 43 youths with BD, and showed that BDP+ youths have lower IQs and greater working memory deficits than BDP− youths6. Caetano and colleagues showed that psychotic symptoms in youth with BD were associated with more suicidal ideation and plans and psychiatric hospitalizations8. Finally, although not consistently, the adult BD literature has also reported that the presence of psychosis in patients with BD is associated with poor course and outcome9, 10, 12, 13, 15–19, 33, 34.

BDP+ youth appear to be a distinct subgroup of BD, as evidenced by the fact that they had more severe psychopathology, and had families with lower SES and more psychopathology, even before they developed psychosis, compared to BDP− youth. Moreover, once BDP+ youth developed psychosis, their clinical presentation and psychosocial functioning deteriorated (Figure 2), suggesting that psychosis might independently contribute to the deteriorating clinical course, not only as a marker of severity, but also as a course modifier. Although we did not assess mechanisms by which psychosis negatively affects the course of BPD, psychosis has been associated with cognitive and biological changes in the brain. For example, BDP+ youths demonstrated lower IQs and greater working memory deficits than BDP− youths6, and adults with BDP+ had diminished suppression of the P50 auditory evoked potential and higher dopamine-2 receptors’ density in the basal ganglia compared to BDP−35. These findings may represent a common physiological mechanism associated with the vulnerability to psychosis in people with BD, and may suggest that the presence of psychosis in BD represents a unique subtype of the disorder14. Also, the experience of being psychotic may have a significant impact on one’s self-concept (e.g., poor self-esteem, depression, anxiety)36, and lead to environmental stressors (e.g., peer rejection)37 and PTSD-like symptoms regarding the traumatic psychotic experience, which may last for months after the psychosis has resolved38.

In addition, adolescence is a developmentally complex period, characterized by constant changes in the physical and psychosocial domains, with the majority of psychiatric disorders emerging during this timeframe39, 40. These developmental changes may be impacted by the onset of BD, and perhaps more severely if the BD is accompanied by psychosis. Also, factors such as lack of adherence to treatment, side effects of medications, and stigma, which are relevant to all mental health problems and especially to psychosis, could also contribute to the poorer outcome37, 41, 42.

Given that our study included youth with BD who developed first lifetime onset of psychosis during follow-up, we were able, for the first time in the BD literature, to evaluate the risk factors that predate the onset of psychosis. Increased risk of developing psychosis was associated with low SES, living with only one biological parent, BD-I/II subtypes, comorbid anxiety, and family history of suicidality and mania. We cannot compare our results with the literature, because to our knowledge, there are no published studies evaluating the risk factors associated with the onset of psychosis in BD adults or youths. However, a longitudinal high-risk study also showed that BD offspring of parents who are non-responsive to lithium were at increased risk for psychotic features during mood episodes43. In addition, a review paper that focused on risk factors for psychosis in general, showed that belonging to an ethnic minority group, having anxiety disorders, history of perinatal complications (e.g., pregnancy and delivery complications, gestational influenza), living with one biological parent, parental history of psychosis and affective disorder, and history of childhood adversity (e.g., physical/sexual abuse) are associated with increased risk of developing psychosis44, 45.

In our study, family history of psychosis was higher in those who developed first lifetime onset of psychosis during follow-up, compared to BDP− youths. However, the effect was statistically marginal (p=0.06). Although history of abuse was more prevalent in the first lifetime onset of psychosis group, the effect was not statistically significant (p=0.3). Finally, except for smoking during pregnancy, there were no between-group differences in perinatal factors. However, after correction for multiple comparisons, smoking was no longer significant.

Although different pharmacological approaches have been recommended for the acute treatment of patients with BD with psychosis, such as the use of antipsychotics plus a mood stabilizer, there are no randomized control trials to guide clinicians46–48. Studies focused on the treatment of BDP+ are warranted in order to improve the course and outcome of these youths. In fact, early interventions during the acute phase of psychosis in general are associated with better outcomes, including decreased hospitalization rates, more rapid recovery, and better social functioning49, 50.

In conclusion, in this large longitudinal study, we showed that BDP+ in youths, particularly in those with recurrent psychosis, is associated with poorer course and prognosis when compared to BDP−youths, indicating the need for the prompt identification and treatment of these youths. Moreover, it appears that youths who are prone to developing psychosis have more psychopathology at intake, even prior to the first lifetime onset of psychosis, suggesting the need for early identification of BD youths who are at risk of developing psychosis, and the importance of developing preventative interventions focusing on factors amenable for change, such as comorbid disorders.

Supplementary Material

Supp TableS1-3

Acknowledgements:

This research was supported by National Institute of Mental Health (NIMH) grants MH059929 (PI Boris Birmaher, MD), MH059922 (PI Michael Strober, PhD), MH059691 (PI’s Martin Keller, M.D. and Shirley Yen, PhD), MH112544 (PI Boris Birmaher, MD) and MH112543 (Shirley Yen, PhD). The authors thank the families who participated in the COBY study, the COBY research team, and the faculty and staff of the Child and Adolescent Bipolar Spectrum Services clinic at the University of Pittsburgh. The authors also thank the Herman Dana Foundation which provided stipend for the research activities of the corresponding author.

Footnotes

Conflict of interest:

Dr. Birmaher has received grants from NIMH during the conduct of the study; royalties from Random House, UpToDate, and Lippincott, Williams and Wilkins, outside of the submitted work. Dr. T. Goldstein has received grants from NIMH, the American Foundation for Suicide Prevention, and the Brain and Behavior Foundation and royalties from Guilford Press, outside the submitted work. Dr. Yen has received research support from NIMH, NICCH, and the American Foundation for Suicide Prevention and has served as a consultant at Janssen Global Services. Dr. Axelson has received grants from NIMH, during the conduct of the study; personal fees from Janssen Research and Development, LLC, and UpToDate, outside the submitted work. Ms. Hower has received funding from NIMH, and honoraria from the DOD. Dr. Weinstock receives funding from NIMH, NIH OBSSR, and NIJ. Dr. B. Goldstein, Dr. Ryan, Dr. Keller, Dr. Strober, Dr. Shalev, Dr. Iyengar, Ms. Liao, Mr. Merranko, and Ms. Gill report no biomedical financial interests or potential conflicts of interest.

Data availability statement: Data from the COBY study were uploaded to NIMH RDOC database to share with the public. It is accessible at https://data-archive.nimh.nih.gov/rdocdb/

References:

  • 1.Pavuluri MN, Birmaher B, Naylor MW. Pediatric bipolar disorder: a review of the past 10 years. J Am Acad Child Adolesc Psychiatry. 2005;44(9):846–871. [DOI] [PubMed] [Google Scholar]
  • 2.Goldstein TR, Obreja M, Shamseddeen W, Iyengar S, Axelson DA, Goldstein BI, Monk K, Hickey MB, Sakolsky D, Kupfer DJ, Brent DA, Birmaher B. Risk for suicidal ideation among the offspring of bipolar parents: results from the Bipolar Offspring Study (BIOS). Arch Suicide Res. 2011;15(3):207–222. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Kowatch RA, Youngstrom EA, Danielyan A, Findling RL. Review and meta-analysis of the phenomenology and clinical characteristics of mania in children and adolescents. Bipolar Disord. 2005;7(6):483–496. [DOI] [PubMed] [Google Scholar]
  • 4.Hua LL, Wilens TE, Martelon M, Wong P, Wozniak J, Biederman J. Psychosocial functioning, familiality, and psychiatric comorbidity in bipolar youth with and without psychotic features. J Clin Psychiatry. 2011;72(3):397–405. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Carlson GA, Kotov R, Chang SW, Ruggero C, Bromet EJ. Early determinants of four-year clinical outcomes in bipolar disorder with psychosis. Bipolar Disord. 2012;14(1):19–30. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.McCarthy JB, Weiss SR, Segovich KT, Barbot B. Impact of psychotic symptoms on cognitive functioning in child and adolescent psychiatric inpatients with severe mood disorders. Psychiatry Res. 2016;244:223–228. [DOI] [PubMed] [Google Scholar]
  • 7.Rende R, Birmaher B, Axelson D, Strober M, Gill MK, Valeri S, Chiappetta L, Ryan N, Leonard H, Hunt J, Iyengar S, Keller M. Psychotic symptoms in pediatric bipolar disorder and family history of psychiatric illness. J Affect Disord. 2006;96(1–2):127–131. [DOI] [PubMed] [Google Scholar]
  • 8.Caetano SC, Olvera RL, Hunter K, Hatch JP, Najt P, Bowden C, Pliszka S, Soares JC. Association of psychosis with suicidality in pediatric bipolar I, II and bipolar NOS patients. J Affect Disord. 2006;91(1):33–37. [DOI] [PubMed] [Google Scholar]
  • 9.Coryell W, Leon AC, Turvey C, Akiskal HS, Mueller T, Endicott J. The significance of psychotic features in manic episodes: a report from the NIMH collaborative study. J Affect Disord. 2001;67(1–3):79–88. [DOI] [PubMed] [Google Scholar]
  • 10.Canuso CM, Bossie CA, Zhu Y, Youssef E, Dunner DL. Psychotic symptoms in patients with bipolar mania. Journal of Affective Disorders. 2008;111(2):164–169. [DOI] [PubMed] [Google Scholar]
  • 11.Strakowski SM, Williams JR, Sax KW, Fleck DE, DelBello MP, Bourne ML. Is impaired outcome following a first manic episode due to mood-incongruent psychosis? J Affect Disord. 2000;61(1–2):87–94. [DOI] [PubMed] [Google Scholar]
  • 12.Caldieraro MA, Sylvia LG, Dufour S, Walsh S, Janos J, Rabideau DJ, Kamali M, McInnis MG, Bobo WV, Friedman ES, Gao K, Tohen M, Reilly-Harrington NA, Ketter TA, Calabrese JR, McElroy SL, Thase ME, Shelton RC, Bowden CL, Kocsis JH, Deckersbach T, Nierenberg AA. Clinical correlates of acute bipolar depressive episode with psychosis. J Affect Disord. 2017;217:29–33. [DOI] [PubMed] [Google Scholar]
  • 13.Levy B, Medina AM, Weiss RD. Cognitive and psychosocial functioning in bipolar disorder with and without psychosis during early remission from an acute mood episode: a comparative longitudinal study. Compr Psychiatry. 2013;54(6):618–626. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Bora E, Yucel M, Pantelis C. Neurocognitive markers of psychosis in bipolar disorder: a meta-analytic study. J Affect Disord. 2010;127(1–3):1–9. [DOI] [PubMed] [Google Scholar]
  • 15.Keck PE Jr., McElroy SL, Havens JR, Altshuler LL, Nolen WA, Frye MA, Suppes T, Denicoff KD, Kupka R, Leverich GS, Rush AJ, Post RM. Psychosis in bipolar disorder: phenomenology and impact on morbidity and course of illness. Compr Psychiatry. 2003;44(4):263–269. [DOI] [PubMed] [Google Scholar]
  • 16.Jimenez-Lopez E, Sanchez-Morla EM, Aparicio AI, Lopez-Villarreal A, Martinez-Vizcaino V, Rodriguez-Jimenez R, Vieta E, Santos JL. Psychosocial functioning in patients with psychotic and non-psychotic bipolar I disorder. A comparative study with individuals with schizophrenia. J Affect Disord. 2018;229:177–185. [DOI] [PubMed] [Google Scholar]
  • 17.Soni A, Singh P, Shah R, Bagotia S. Impact of Cognition and Clinical Factors on Functional Outcome in Patients with Bipolar Disorder. East Asian Arch Psychiatry. 2017;27(1):26–34. [PubMed] [Google Scholar]
  • 18.Burton CZ, Ryan KA, Kamali M, Marshall DF, Harrington G, McInnis MG, Tso IF. Psychosis in bipolar disorder: Does it represent a more “severe” illness? Bipolar Disord. 2018;20(1):18–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Dell’osso L, Carmassi C, Rucci P, Ciapparelli A, Conversano C, Marazziti D. Complicated grief and suicidality: the impact of subthreshold mood symptoms. CNS Spectr. 2011;16(1):1–6. [DOI] [PubMed] [Google Scholar]
  • 20.Birmaher B, Axelson D, Goldstein B, Strober M, Gill MK, Hunt J, Houck P, Ha W, Iyengar S, Kim E, Yen S, Hower H, Esposito-Smythers C, Goldstein T, Ryan N, Keller M. Four-year longitudinal course of children and adolescents with bipolar spectrum disorders: the Course and Outcome of Bipolar Youth (COBY) study. Am J Psychiatry. 2009;166(7):795–804. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Birmaher B, Gill MK, Axelson DA, Goldstein BI, Goldstein TR, Yu H, Liao F, Iyengar S, Diler RS, Strober M, Hower H, Yen S, Hunt J, Merranko JA, Ryan ND, Keller MB. Longitudinal trajectories and associated baseline predictors in youths with bipolar spectrum disorders. Am J Psychiatry. 2014;171(9):990–999. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Kaufman J, Birmaher B, Brent D, Rao U, Flynn C, Moreci P, Williamson D, Ryan N. Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime Version (K-SADS-PL): initial reliability and validity data. J Am Acad Child Adolesc Psychiatry. 1997;36(7):980–988. [DOI] [PubMed] [Google Scholar]
  • 23.Axelson D, Birmaher BJ, Brent D, Wassick S, Hoover C, Bridge J, Ryan N. A preliminary study of the Kiddie Schedule for Affective Disorders and Schizophrenia for School-Age Children mania rating scale for children and adolescents. J Child Adolesc Psychopharmacol. 2003;13(4):463–470. [DOI] [PubMed] [Google Scholar]
  • 24.Keller MB, Lavori PW, Friedman B, Nielsen E, Endicott J, McDonald-Scott P, Andreasen NC. The Longitudinal Interval Follow-up Evaluation. A comprehensive method for assessing outcome in prospective longitudinal studies. Arch Gen Psychiatry. 1987;44(6):540–548. [DOI] [PubMed] [Google Scholar]
  • 25.Sobell LC, Sobell MB. Alcohol timeline followback. 2007. [Google Scholar]
  • 26.Goldstein TR, Ha W, Axelson DA, Goldstein BI, Liao F, Gill MK, Ryan ND, Yen S, Hunt J, Hower H, Keller M, Strober M, Birmaher B. Predictors of prospectively examined suicide attempts among youth with bipolar disorder. Arch Gen Psychiatry. 2012;69(11):1113–1122. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Shaffer D, Gould MS, Brasic J, Ambrosini P, Fisher P, Bird H, Aluwahlia S. A children’s global assessment scale (CGAS). Archives of General psychiatry. 1983;40(11):1228–1231. [DOI] [PubMed] [Google Scholar]
  • 28.Birmaher B, Brent DA, Chiappetta L, Bridge J, Monga S, Baugher M. Psychometric properties of the Screen for Child Anxiety Related Emotional Disorders (SCARED): a replication study. Journal of the American Academy of Child & Adolescent Psychiatry. 1999;38(10):1230–1236. [DOI] [PubMed] [Google Scholar]
  • 29.Axelrod BN. Validity of the Wechsler abbreviated scale of intelligence and other very short forms of estimating intellectual functioning. Assessment. 2002;9(1):17–23. [DOI] [PubMed] [Google Scholar]
  • 30.Hunt IM, Kapur N, Webb R, Robinson J, Burns J, Shaw J, Appleby L. Suicide in recently discharged psychiatric patients: a case-control study. Psychol Med. 2009;39(3):443–449. [DOI] [PubMed] [Google Scholar]
  • 31.Hastie T, Tibshirani R, Friedman J. The elements of statistical learning: prediction, inference and data mining. Springer-Verlag, New York: 2009. [Google Scholar]
  • 32.Lewinsohn PM, Klein DN, Seeley JR. Bipolar disorder during adolescence and young adulthood in a community sample. Bipolar Disord. 2000;2(3 Pt 2):281–293. [DOI] [PubMed] [Google Scholar]
  • 33.Solomon DA, Leon AC, Coryell WH, Endicott J, Li C, Fiedorowicz JG, Boyken L, Keller MB. Longitudinal course of bipolar I disorder: duration of mood episodes. Arch Gen Psychiatry. 2010;67(4):339–347. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Tohen M, Waternaux CM, Tsuang MT, Hunt AT. Four-year follow-up of twenty-four first-episode manic patients. J Affect Disord. 1990;19(2):79–86. [DOI] [PubMed] [Google Scholar]
  • 35.Olincy A, Martin L. Diminished suppression of the P50 auditory evoked potential in bipolar disorder subjects with a history of psychosis. American Journal of Psychiatry. 2005;162(1):43–49. [DOI] [PubMed] [Google Scholar]
  • 36.Upthegrove R, Ross K, Brunet K, McCollum R, Jones L. Depression in first episode psychosis: the role of subordination and shame. Psychiatry Res. 2014;217(3):177–184. [DOI] [PubMed] [Google Scholar]
  • 37.Kaushik A, Kostaki E, Kyriakopoulos M. The stigma of mental illness in children and adolescents: A systematic review. Psychiatry Res. 2016;243:469–494. [DOI] [PubMed] [Google Scholar]
  • 38.Dunkley JE, Bates GW, Findlay BM. Understanding the trauma of first-episode psychosis. Early Intervention in Psychiatry. 2015;9(3):211–220. [DOI] [PubMed] [Google Scholar]
  • 39.Guerra NG, Williamson A, Lucas-Molina B. Normal development: Infancy, childhood and adolescence. IACAPAP Textbook of Child and Adolescent Mental Health, Chapter A. 2012;2:1–39. [Google Scholar]
  • 40.Paus T, Keshavan M, Giedd JN. Why do many psychiatric disorders emerge during adolescence? Nature Reviews Neuroscience. 2008;9:947. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Medeiros GC, Senco SB, Lafer B, Almeida KM. Association between duration of untreated bipolar disorder and clinical outcome: data from a Brazilian sample. Rev Bras Psiquiatr. 2016;38(1):6–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Edgcomb JB, Zima B. Medication Adherence Among Children and Adolescents with Severe Mental Illness: A Systematic Review and Meta-Analysis. J Child Adolesc Psychopharmacol. 2018;28(8):508–520. [DOI] [PubMed] [Google Scholar]
  • 43.Duffy A, Goodday S, Keown-Stoneman C, Grof P. The Emergent Course of Bipolar Disorder: Observations Over Two Decades From the Canadian High-Risk Offspring Cohort. Am J Psychiatry. 2018:appiajp201818040461. [DOI] [PubMed] [Google Scholar]
  • 44.Fusar‐Poli P, McGorry PD, Kane JM. Improving outcomes of first‐episode psychosis: an overview. World Psychiatry. 2017;16(3):251–265. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Olin S-cS Mednick SA. Risk Factors of Psychosis: Identifying Vulnerable Populations Premorbidly. Schizophrenia Bulletin. 1996;22(2):223–240. [DOI] [PubMed] [Google Scholar]
  • 46.Practice Parameters for the Assessment and Treatment of Children and Adolescents With Bipolar Disorder. Journal of the American Academy of Child & Adolescent Psychiatry. 1997;36(10):157S–176S. [DOI] [PubMed] [Google Scholar]
  • 47.Fountoulakis KN, Grunze H, Vieta E, Young A, Yatham L, Blier P, Kasper S, Moeller HJ. The International College of Neuro-Psychopharmacology (CINP) Treatment Guidelines for Bipolar Disorder in Adults (CINP-BD-2017), Part 3: The Clinical Guidelines. Int J Neuropsychopharmacol. 2017;20(2):180–195. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Goldstein BI, Sassi R, Diler RS. Pharmacologic treatment of bipolar disorder in children and adolescents. Child and Adolescent Psychiatric Clinics. 2012;21(4):911–939. [DOI] [PubMed] [Google Scholar]
  • 49.Friedman-Yakoobian MS, West ML, Woodberry KA, O’Donovan KE, Zimmet SV, Gnong-Granato A, Giuliano AJ, Guyer ME, Rodenhiser-Hill J, Keshavan MS, Seidman LJ. Development of a Boston Treatment Program for Youth at Clinical High Risk for Psychosis: Center for Early Detection, Assessment, and Response to Risk (CEDAR). Harv Rev Psychiatry. 2018;26(5):274–286. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Srihari VH, Shah J, Keshavan MS. Is early intervention for psychosis feasible and effective? The Psychiatric clinics of North America. 2012;35(3):613–631. [DOI] [PMC free article] [PubMed] [Google Scholar]

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