A Risk Calculator to Predict the Individual Risk of Conversion From Subthreshold Bipolar Symptoms to Bipolar Disorder I or II in Youth

High Risk for Psychiatric Disorders in Bipolar Offspring. A Four Years Prospective Study

Bipolar disorder (BD) has a large hereditary component. It is a disorder that begins in early adulthood, but about which it has been described a premorbid period preceding the onset of BD. During this herald expression psychiatric disorders and symptoms, such as depressive, manic, psychotic, anxious and others, may appear.

OBJECTIVE

To determine the psychopathological profile of a Bipolar Offspring (BO) group compared with the Community Control Offspring (CCO) group, and its evolution over time, including subthreshold symptoms and mental disorders.

METHODS

We conducted an observational mixed cohort study, with a prospective design. We included subjects from six to 30 years of age, from the region of Antioquia, Colombia. A total of 131 subjects from the risk group BO and 150 subjects from the CCO group were evaluated through validated psychiatric diagnostic interviews (K-SADS-PL and DIGS) at baseline and at 4 years follow up. All interviews were carried out by a staff blind to parent diagnoses. Follow-up assessment were complete in 72% of the offspring. Forty-two subjects were excluded as they surpassed the age of 30 years, and only 46 subjects were not followed (change of address or did not consent to participate).

RESULTS

Compared with the CCO group, the BO group had a higher frequency of affective disorder, psychotic disorder, externalizing disorders and use of the psychoactive substances during both assessments at time 1 and 2. The magnitude of the differences between the groups increased when they reach time 2. The BO group had a greater risk for presenting subthreshold symptoms and definitive psychiatric disorders, such as affective disorders, psychotic disorders and externalizing disorders. In addition, the BO group had a younger age of onset for psychoactive substances consumption.

CONCLUSION

During the follow-up period, the BO group had a higher risk of presenting mental disorders compared with the CCO group. The most relevant symptoms and disorders that could precede the onset of BD were depressive, bipolar not otherwise specified, psychotic and substance use.

Effects of Family-Focused Therapy vs Enhanced Usual Care for Symptomatic Youths at High Risk for Bipolar Disorder: A Randomized Clinical Trial

IMPORTANCE

Behavioral high-risk phenotypes predict the onset of bipolar disorder among youths who have parents with bipolar disorder. Few studies have examined whether early intervention delays new mood episodes in high-risk youths.

OBJECTIVE

To determine whether family-focused therapy (FFT) for high-risk youths is more effective than standard psychoeducation in hastening recovery and delaying emergence of mood episodes during the 1 to 4 years after an active period of mood symptoms.

DESIGN, SETTINGS, AND PARTICIPANTS

This multisite randomized clinical trial included referred youths (aged 9-17 years) with major depressive disorder or unspecified (subthreshold) bipolar disorder, active mood symptoms, and at least 1 first- or second-degree relative with bipolar disorder I or II. Recruitment started from October 6, 2011, and ended on September 15, 2016. Independent evaluators interviewed participants every 4 to 6 months to measure symptoms for up to 4 years. Data analysis was performed from March 13 to November 3, 2019.

INTERVENTIONS

High-risk youths and parents were randomly allocated to FFT (12 sessions in 4 months of psychoeducation, communication training, and problem-solving skills training; n = 61) or enhanced care (6 sessions in 4 months of family and individual psychoeducation; n = 66). Youths could receive medication management in either condition.

MAIN OUTCOMES AND MEASURES

The coprimary outcomes, derived using weekly psychiatric status ratings, were time to recovery from prerandomization symptoms and time to a prospectively observed mood (depressive, manic, or hypomanic) episode after recovery. Secondary outcomes were time to conversion to bipolar disorder I or II and longitudinal symptom trajectories.

RESULTS

All 127 participants (82 [64.6%] female; mean [SD] age, 13.2 [2.6] years) were followed up for a median of 98 weeks (range, 0-255 weeks). No differences were detected between treatments in time to recovery from pretreatment symptoms. High-risk youths in the FFT group had longer intervals from recovery to the emergence of the next mood episode (χ2 = 5.44; P = .02; hazard ratio, 0.55; 95% CI, 0.48-0.92;), and from randomization to the next mood episode (χ2 = 4.44; P = .03; hazard ratio, 0.59; 95% CI, 0.35-0.97) than youths in enhanced care. Specifically, FFT was associated with longer intervals to depressive episodes (log-rank χ2 = 6.24; P = .01; hazard ratio, 0.53; 95% CI, 0.31-0.88) but did not differ from enhanced care in time to manic or hypomanic episodes, conversions to bipolar disorder, or symptom trajectories.

CONCLUSIONS AND RELEVANCE

Family skills-training for youths at high risk for bipolar disorder is associated with longer times between mood episodes. Clarifying the relationship between changes in family functioning and changes in the course of high-risk syndromes merits future investigation.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT01483391.

Applying a Transdiagnostic Cognitive-Behavioral Treatment to Adolescents at High Risk for Serious Mental Illness: Rationale and Preliminary Findings

Given the chronic and deleterious course of serious mental illness (SMI; schizophrenia and bipolar disorder), significant efforts have been undertaken to improve prediction of SMI and provide treatment for adolescents in the early, putatively prodromal stage of these illnesses. While risk assessments and disorder-specific treatments for adolescents at risk for SMI have shown some efficacy, significant issues remain around disorder-specific treatments for these youth. There is substantial heterogeneity of psychopathology within adolescents at high risk for SMI that leads to many false-positives and varying diagnostic outcomes. As a result, initial treatment focusing on broad symptoms and skills has been proposed in place of disorder-specific treatments. We discuss the rationale for providing an already-developed and empirically supported transdiagnostic treatment for emotional disorders (termed the Unified Protocol) as a first-line staging of treatment for adolescents experiencing early SMI symptoms. Additionally, we outline the open trial we are piloting using this transdiagnostic treatment in adolescents between the ages of 13 - 17 who have begun experiencing distressing yet subsyndromal psychosis or bipolar mood symptoms. Preliminary findings suggest feasibility and acceptability as well as initial efficacy in improving psychiatric symptoms, quality of life, and difficulties regulating emotions. We also present case studies from our open trial. A unified, cognitive-behavioral treatment for early presentations of SMI has important clinical and public health benefits, including streamlining treatment and providing broad skills that are applicable to a wide range of psychopathology.

Characteristics of youth at high risk for bipolar disorder compared to youth with bipolar I or II disorder

Significant efforts have been undertaken to characterize the phenomenology of the high-risk period for bipolar disorder (BD) through the examination of youth at familial risk (i.e., having a first- or second-degree relative with BD) or clinical high risk for the disorder (i.e., youth with BD Not Otherwise Specified [NOS] or major depressive disorder [MDD]). However, little is known about the phenomenology of youth at both familial and clinical high risk for BD. In this study, we examined the clinical and psychosocial characteristics of youth at familial and clinical high risk (HR) for BD, and compared these characteristics to those of youth with BD I and II. Both groups were recruited based on current, active mood symptoms from separate randomized trials of family therapy. A total of 127 HR youth were evaluated: 52 (40.9%) were diagnosed with BD-NOS and 75 (59.1%) were diagnosed with MDD. Compared to adolescents with BD I and II (n = 145), HR youth had higher rates of anxiety disorders, and comparable rates of attention-deficit/hyperactivity disorder and oppositional defiant disorder/conduct disorder. Manic symptom severity and psychosocial functioning were progressively more impaired consistent with diagnostic severity: BD I > BD II > BD-NOS > MDD. Nonetheless, HR youth exhibited depressive symptom severity that was comparable to adolescents with BD I. These results provide further support for the high rates of anxiety disorders and premorbid dysfunction in addition to active mood symptoms for youth at risk for BD, and suggest anxiety is an important phenomenological characteristic and treatment target in the high-risk period.

The Critical Need for Help-Seeking Controls in Clinical High-Risk Research

Despite rapidly growing knowledge of the clinical high-risk (CHR) state for psychosis, the vast majority of case-control studies have relied on healthy volunteers as a reference point for drawing inferences about the CHR construct. Researchers have long recognized that results generated from this design are limited by significant interpretive concerns, yet little attention has been given to how these concerns affect the growing field of CHR research. We argue that overreliance on healthy controls in CHR research threatens the validity of inferences concerning group differences, hinders advances in understanding the development of psychosis, and limits clinical progress. We suggest that the combined use of healthy and help-seeking (i.e., psychiatric) controls is a necessary step for the next generation of CHR research. We then evaluate methods for help-seeking control studies, identify the available CHR studies that have used such designs, discuss select findings in this literature, and offer recommendations for research.

Machine learning and big data analytics in bipolar disorder: A position paper from the International Society for Bipolar Disorders Big Data Task Force

OBJECTIVES

The International Society for Bipolar Disorders Big Data Task Force assembled leading researchers in the field of bipolar disorder (BD), machine learning, and big data with extensive experience to evaluate the rationale of machine learning and big data analytics strategies for BD.

METHOD

A task force was convened to examine and integrate findings from the scientific literature related to machine learning and big data based studies to clarify terminology and to describe challenges and potential applications in the field of BD. We also systematically searched PubMed, Embase, and Web of Science for articles published up to January 2019 that used machine learning in BD.

RESULTS

The results suggested that big data analytics has the potential to provide risk calculators to aid in treatment decisions and predict clinical prognosis, including suicidality, for individual patients. This approach can advance diagnosis by enabling discovery of more relevant data-driven phenotypes, as well as by predicting transition to the disorder in high-risk unaffected subjects. We also discuss the most frequent challenges that big data analytics applications can face, such as heterogeneity, lack of external validation and replication of some studies, cost and non-stationary distribution of the data, and lack of appropriate funding.

CONCLUSION

Machine learning-based studies, including atheoretical data-driven big data approaches, provide an opportunity to more accurately detect those who are at risk, parse-relevant phenotypes as well as inform treatment selection and prognosis. However, several methodological challenges need to be addressed in order to translate research findings to clinical settings.

Psychological interventions for young people at risk for bipolar disorder: A systematic review

OBJECTIVES

Several studies have recently been conducted that have explored the benefits of psychological interventions in reducing symptomatology or improving outcomes in young people at-risk of developing bipolar disorder. The aim of this review was to explore if such interventions reduce current psychiatric symptoms and prevent the development of new symptoms.

METHODS

A systematic review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Databases searched were MEDLINE, EMBASE, PsychInfo, CINAHL and SCOPUS from January 1990 until August 2018. The inclusion criteria were young people aged under 30 years with a family history of bipolar disorder and any empirical studies that contained a psychological or psychoeducation intervention.

RESULTS

A total of 7 articles (N = 138, 55 males) were included (mean age ranged from 12 to 15 years). Interventions conducted included Family Focussed Therapy, Interpersonal and Social Rhythm Therapy, and Mindfulness-based Cognitive Therapy for Children. Significant results were found in some studies, depending on the sample's initial symptoms, with reduced time to relapse and reduced symptoms of anxiety, depression and hypo/mania being found.

LIMITATIONS

No studies have explored if interventions may delay the time to onset of first hypo/manic episodes and only two randomised controlled trials were identified.

CONCLUSIONS

Some significant results were noted with lower symptoms of anxiety, depression and hypo/mania being found in some studies. It is currently unclear if psychological interventions may prevent the development of bipolar disorder or other psychiatric symptoms over time; further longitudinal studies are required.

Debate: Pediatric bipolar disorder - divided by a common language?

The paediatric bipolar disorder (pBD) debate is seen as a prototypical transatlantic controversy. But this is a Eurocentric view that ignores just how big a country the United States is - it contains multitudes, to paraphrase Walt Whitman writing in the aftermath of the Civil War. Indeed, such are the multitudes that a child can receive a diagnosis of bipolar in one State, but not in a neighbouring one. It was the force of this intra-American division that swept over the Atlantic. As this has been the case for many other goods imported from the United States, the European high-brow response was that pBD was just a New World fad. This response was evidently wrong. Of course, there are young children who have full-blown manic and depressive episodes and who need treatment. And the bitter truth was (and continues to be in parts of the United Kingdom) that often such children are dismissed as having 'character pathology' and their families accused of all sorts of inadequacies. Clearly, here was an important problem hidden under layers of Old-World crustiness.

A Risk Calculator for Bipolar Disorder in Youth: Improving the Odds for Personalized Prevention and Early Intervention?

There have been many longitudinal studies examining biological and environmental risk factors for developing bipolar disorder in youth. Specifically, well-established risk factors for bipolar disorder in children and adolescents include having a family history of bipolar disorder, depression, disruptive behavior disorders, psychosis, antidepressant-induced manic symptoms, anxiety, and subsyndromal symptoms of mania and depression.¹ In an effort to identify individuals at highest risk for developing bipolar disorder, several investigators have attempted to characterize a bipolar prodrome. A recent meta-analysis of early manifestations of bipolar disorder in youth found that the most common prodromal symptoms were increased energy, diminished ability to think, indecision, pressured speech, talkativeness, elated mood, academic or work difficulties, insomnia, depressed mood, and increased goal-directed activities.² The authors concluded that despite many of the participants having symptoms prior to their illness onset, there was significant heterogeneity in symptom presentation, making it difficult to define a consistent bipolar prodrome. Although it is important to explore risk factors and rates of early symptoms of incipient bipolar disorder, to date, most studies have examined risk within an entire group rather than quantified an individual's risk of having bipolar disorder, which is essential to advance personalized monitoring and treatment strategies.