Number of episodes in bipolar disorder: The case for more thoughtful conceptualization and measurement

Who benefits from digital interventions for bipolar disorder? Stage of illness characteristics as predictors of changes in quality of life

OBJECTIVES

This study explored the potential role of stage-related variables in intervention outcomes in bipolar disorder (BD). Specifically, we aimed to identify which subgroups of individuals were most likely to experience improved quality of life following digitally delivered psychosocial interventions for BD.

METHODS

The study involved a secondary analysis of combined data from two randomised control trials (RCTs). Each trial assessed the effectiveness of digitally delivered interventions for improving quality of life, in late-stage (ORBIT RCT) or early-stage (BETTER RCT) BD. Three iterations of cluster analyses were performed, identifying subgroups of individuals based on (i) current phenomenology, (ii) course of illness and (iii) medication response. The resultant subgroups were compared with regard to changes in quality of life pre-post intervention, via repeated measures ANOVAs.

RESULTS

In each cluster analysis, two clusters were found. The current phenomenology clusters reflected two impairment levels, 'moderate impairment' and 'low impairment'. The course of illness clusters reflected 'more chronicity' and 'less chronicity' and the medication response clusters reflected 'good medication response' and 'poor medication response'. Differences in changes in quality of life over time were observed between the two current phenomenology clusters and between the medication response clusters, while the course of illness subgroups did not respond differently.

CONCLUSIONS

There are at least two distinct groups of treatment-seeking individuals with established BD, based on illness features with previously established links to different illness stages. Clusters within the current phenomenology and medication response domains demonstrated significantly different trajectories of QoL change over time in the context of our interventions, highlighting potential implications for treatment selection aligned with precision psychiatry.

Real-world effectiveness of long-acting injectable vs. oral antipsychotics in patients with bipolar I disorder: a 1-year retrospective observational study

OBJECTIVE

Long-acting injectable (LAI) antipsychotics are recommended in the treatment non-adherence. Despite the widespread use of LAI antipsychotics, there is limited data on clinical outcomes in bipolar I disorder (BD-I) patients with real-world data. We aimed to compare BD-I patients treated with LAI and oral antipsychotics (OAP) in terms of treatment effectiveness in a 1-year follow-up period.

METHODS

The study was conducted retrospectively with electronic health records of 116 BDI patients. The primary outcomes were whether patients in the LAI group and the OAP group differed in relapse, rehospitalization, emergency room (ER) visits, and all-cause treatment discontinuation at 1-year follow-up after a mania episode. Cox regression modeling was used to predict the recurrence of any mood episode and all-cause treatment discontinuation during follow-up. The secondary outcomes evaluated were the effects of sociodemographic and clinical parameters and concomitant psychotropic medications on the course of the illness and treatment adherence.

RESULTS

Of all 116 patients, 33 (28.4%) were under LAI, and 83 (71.6%) were under OAP treatment. LAI users had a history of more hospitalizations and total mood episodes. Patients in the LAI group had more treatment non-adherence before the index hospitalization. At 1-year follow-up, there was no difference between the groups in terms of any mood relapse, rehospitalization, ER visits, and all-cause treatment discontinuation. As a secondary outcome, lithium users were found to have fewer new episodes and discontinuations of treatments.

CONCLUSIONS

In real-world data, there is no evidence that LAI antipsychotics (compared to OAP) are superior in the maintenance treatment of BD. These results are important in terms of reflecting clinical practices for the treatment of BD-I. These results do not devalue the use of LAI therapy in BD; however, more studies are needed to identify positive predictors for LAI treatments in BD.

Bipolar disorder and cumulative trauma: A systematic review of prevalence and illness outcomes

BACKGROUND

The experience of cumulative trauma may be common in bipolar disorder (BD). However, it is not frequently reported as most studies focus on childhood trauma without examining differences in the amount of trauma experienced. This systematic review aimed to determine the prevalence of lifetime cumulative trauma in BD as well as explore associated illness outcomes.

METHODS

A systematic review was completed in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Both the prevalence and outcomes of cumulative trauma in BD were assessed. Five electronic databases were searched (Embase, MEDLINE, PsycINFO, Web of Science, and PTSD Pubs) for records from January 2010 until December 2022.

RESULTS

A total of 20 studies, with 9304 participants were included in the narrative synthesis. At least one-third of BD participants had experienced cumulative trauma, with a prevalence range from 29% to 82%. The main outcomes associated with a history of cumulative trauma were earlier age of onset, longer episode duration, more lifetime mood episodes, greater likelihood of experiencing psychotic features, and higher likelihood of past suicide attempts.

LIMITATIONS

This review has been limited by the lack of studies directly assessing cumulative trauma in BD.

CONCLUSIONS

Cumulative trauma is prevalent in BD. Preliminary evidence indicates an association with a range of adverse outcomes, emphasizing the need for clinicians to obtain a detailed trauma history and to consider these risks in the management of the disorder. Future studies should report on the prevalence of cumulative trauma, particularly in adulthood as this area remains unexplored.

Optimizing multi-domain hematologic biomarkers and clinical features for the differential diagnosis of unipolar depression and bipolar depression

There is a lack of objective features for the differential diagnosis of unipolar and bipolar depression, especially those that are readily available in practical settings. We investigated whether clinical features of disease course, biomarkers from complete blood count, and blood biochemical markers could accurately classify unipolar and bipolar depression using machine learning methods. This retrospective study included 1160 eligible patients (918 with unipolar depression and 242 with bipolar depression). Patient data were randomly split into training (85%) and open test (15%) sets 1000 times, and the average performance was reported. XGBoost achieved the optimal open-test performance using selected biomarkers and clinical features-AUC 0.889, sensitivity 0.831, specificity 0.839, and accuracy 0.863. The importance of features for differential diagnosis was measured using SHapley Additive exPlanations (SHAP) values. The most informative features include (1) clinical features of disease duration and age of onset, (2) biochemical markers of albumin, low density lipoprotein (LDL), and potassium, and (3) complete blood count-derived biomarkers of white blood cell count (WBC), platelet-to-lymphocyte ratio (PLR), and monocytes (MONO). Overall, onset features and hematologic biomarkers appear to be reliable information that can be readily obtained in clinical settings to facilitate the differential diagnosis of unipolar and bipolar depression.

Triggers for acute mood episodes in bipolar disorder: A systematic review

OBJECTIVES

To identify triggers of acute mood episodes in bipolar disorder (BD).

METHODS

We performed a systematic review in the following databases: Pubmed, Embase, and PsycInfo following the preferred reporting items for systematic reviews and meta-analysis guidelines. The systematic search encompassed all relevant studies published until May 23rd, 2022.

RESULTS

A total of 108 studies (case reports/case series, interventional, prospective and retrospective studies) were included in the systematic review. While several decompensation triggers were identified, pharmacotherapy was the one with the largest body of evidence, particularly the use of antidepressants as triggers of manic/hypomanic episodes. Other identified triggers for mania were brain stimulation, energy drinks, acetyl-l-carnitine, St. John's wort, seasonal changes, hormonal changes and viral infections. There is a relative paucity of evidence concerning triggers for depressive relapses in BD, with possible triggers including fasting, decreased sleep and stressful life events.

CONCLUSIONS

This is the first systematic review about triggers/precipitants of relapse in BD. Despite the importance of identification and management of potential triggers for BD decompensation, there is a lack of large observational studies addressing this topic, with most of the included studies being case reports/case series. Notwithstanding these limitations, antidepressant use is the trigger with the strongest evidence for manic relapse. More studies are needed to identify and manage triggers for relapse in BD.

Staging models applied in a sample of patients with bipolar disorder: Results from a retrospective cohort study

BACKGROUND

Bipolar Disorder (BD) is a life-long illness with compelling evidence of progression. Although different staging models have been proposed to evaluate its course, clinical data remain limited. The aim of the present study was to retrospectively assess applicability of available staging approaches and their pattern of progression in a sample of bipolar patients.

METHODS

In a naturalistic sample of 100 BD patients, retrospective assessment of clinical stages was performed at four time points over 10 years, according to four staging models. Staging progression with potential associations between stages and unfavourable illness characteristics were analyzed.

RESULTS

A pattern of stage worsening emerged for each model, with a significant increase at every time point. Greater stage increases emerged in patients with lower educational level, age at first elevated episode ≤35 years, duration of illness ≤25 years, and duration of untreated illness ≤5 years. Lower stage values were associated with BD II, no psychiatric hospitalization, depressive onset and predominant polarity, ≤three lifetime episodes, age at first mood stabilizer >40 years, duration of illness ≤25 years, and engaged/employed status. Higher stage values were associated with lower age at first elevated episode and mood stabilizing treatment instead.

LIMITATIONS

Naturalistic and retrospective design, recruitment at a 2nd level specialistic clinic.

CONCLUSIONS

Reported findings support the progressive nature of BD and the application of staging models for early intervention, suggesting a conceptualization of a standardized approach to better characterize patients, predict their clinical course, and deliver tailored treatment options.

A systematic review of interventions in the early course of bipolar disorder I or II: a report of the International Society for Bipolar Disorders Taskforce on early intervention

BACKGROUND

Given the likelihood of progressive illness in bipolar disorder (BD), it is important to understand the benefits and risks of interventions administered early in illness course. We conducted a systematic review of the effectiveness of interventions in the early course of BD I or II.

METHODS

We completed a systematic search on MEDLINE, PsycINFO, EMBASE, the Cochrane Central Register of Controlled Trials, CINAHL and Google Scholar from 1/1/1979 till 14/9/2022. We included controlled trials examining intervention effects on symptomatic, course, functional and tolerability outcomes of patients in the 'early course' of BD I or II. We classified patients to be in early course if they (a) were seeking help for the first time for a manic episode, (b) had a lifetime history of up to 3 manic episodes, or (c) had up to 6 lifetime mood episodes. Evidence quality was assessed using the GRADE approach.

RESULTS

From 4135 unique publications we included 25 reports representing 2212 participants in 16 randomized studies, and 17,714 participants from nine non-randomized studies. Available evidence suggested that in early illness course, lithium use was associated with lower recurrence risk compared with other mood stabilizers. Mood stabilizers were also associated with better global functioning, compared with the use of antipsychotics in the medium term. While summative findings regarding psychological therapies were limited by heterogeneity, family-focused and cognitive-behavioral interventions were associated with reduced recurrence risk or improved symptomatic outcomes. There was some evidence that the same pharmacological interventions were more efficacious in preventing recurrences when utilized in earlier rather than later illness course.

CONCLUSIONS AND RECOMMENDATIONS

While there are promising initial findings, there is a need for more adequately powered trials to examine the efficacy and tolerability of interventions in youth and adults in early illness course. Specifically, there is a compelling need to compare the relative benefits of lithium with other pharmacological agents in preventing recurrences. In addition to symptomatic outcomes, there should be a greater focus on functional impact and tolerability. Effective pharmacological and psychological interventions should be offered to those in early course of BD, balancing potential risks using shared decision-making approaches.

Heterogeneous early illness courses of Korean patients with bipolar disorders: replication of the staging model

BACKGROUND

Clinical staging of bipolar disorder (BD) requires application of real-world data, as the next step in hypothesis. This study used the staging model to analyze the long-term course of BD in Korean patients based on clinical features and treatment responses to map the progression of bipolar illness from its early phase after the onset of illness.

METHODS

A total of 136 patients diagnosed with BD-I (n = 62) or BD-II (n = 74) were recruited. Their progressive stages were retrospectively evaluated. A multi-state model was used to calculate the probability of progression to each stage. Hazard ratios of covariates expected to influence different courses of BD were calculated. Using the Alda score, long-term responses to mood stabilizers depending on the current stage were compared.

RESULTS

Several sub-populations showed varied courses during the first five years after the onset of illness, with 41.5% remaining in stage 2 and 53% progressing to higher stages with shortened time for transition. Profiles of patients with BD-I and BD-II were different, suggesting biologically distinct groups. Comorbid psychiatric disorders, such as obsessive-compulsive disorder (OCD) and bulimia nervosa (BN) were associated with a recurrent course (stage 3a or 3b) or a malignant course (stage 3c or 4). Early age of onset, shorter duration of illness, older age at the start of medication, and poor response to lithium affected the illness progression.

CONCLUSION

We were able to apply the stage model based on episode recurrence patterns in early illness courses of Korean patients with BD. The stage progression pattern differed from the early phase in BD-I and BD-II patients. Psychotic comorbidity, age at onset, age at starting psychiatric treatment showed associations with the illness progression.

Determinants of three-year clinical outcomes in real-world outpatients with bipolar disorder: The multicenter treatment survey for bipolar disorder in psychiatric outpatient clinics (MUSUBI)

BACKGROUND

There is limited evidence regarding predictors of long-term clinical outcomes in patients with bipolar disorder (BD). The objective of this study was to describe 3-year clinical outcomes and identify their predictors from participants in the multicenter treatment survey for BD in psychiatric outpatient clinics (MUSUBI).

METHODS

The MUSUBI was a naturalistic study investigating patients with BD in real-world clinical practice. Our study extracted data regarding 1647 outpatients with BD from 2016, 2017, and 2019 as baseline, 1-year, and 3-year assessments. As clinical outcomes, we assessed the presence of time ill (depressive and manic) during the 1 year prior to the 3-year assessment and durable remission (53 weeks or more) prior to the 3-year assessment.

RESULTS

Participants with durable remission prior to the 3-year assessment had significant associations with diagnosis of a personality disorder and duration of continuous remission at baseline. Regarding the presence of depressive symptoms during the 1 year prior to the 3-year assessment, work status, Global Assessment of Functioning (GAF) scores, suicidal ideation, and duration of continuous remission at baseline had significant associations with this outcome.

CONCLUSIONS

At the 3-year assessment, 19.3% of participants (318/1647) achieved durable remission, while 47.5% of them (782/1647) were not remitted. Our findings can help clinicians predict the illness course of BD by understanding demographic and clinical characteristics.

Bipolar disorder treatment according to illness trajectory: a systematic review of clinical trials

The current bipolar disorder treatment guidelines focus mainly on the prevention of recurrence and stabilization of acute mood episodes while neglecting outcomes related to the longitudinal course of illness. We systematically reviewed studies that assess the impact of disease progression in the treatment of patients with bipolar disorder. We searched PubMed, Embase, and Web of Science for clinical trials that moderated treatment effects by number of previous episodes, disease length, or a clinical staging model. We retrieved 6,156 potential abstracts. After deduplication, 5,376 were screened and eight studies met inclusion criteria. Seven trials moderated results by number of prior episodes, and one of those also used a measure of disease length. One trial used a clinical staging model and yielded informing results. Only three studies evaluated pharmacological interventions, the other five assessing psychotherapeutic modalities. Most of the studies were post-hoc analysis of clinical trials not primarily aimed at studying variables associated with illness trajectory. Overall, a loss of efficacy was found according to clinical progression, which supports early intervention. Tailored recommendations according to disease stages cannot be made. Furthermore, we identified methodological weaknesses and strengths in this subfield of research, suggesting the use of clinical staging models for future studies.

Consensus on nomenclature for clinical staging models in bipolar disorder: A narrative review from the International Society for Bipolar Disorders (ISBD) Staging Task Force

OBJECTIVES

Clinical staging is widely used in medicine to map disease progression, inform prognosis, and guide treatment decisions; in psychiatry, however, staging remains a hypothetical construct. To facilitate future research in bipolar disorders (BD), a well-defined nomenclature is needed, especially since diagnosis is often imprecise with blurred boundaries, and a full understanding of pathophysiology is lacking.

METHODS

Under the auspices of the International Society of Bipolar Disorders, a Task Force of international experts was convened to review, discuss, and integrate findings from the scientific literature relevant to the development of a consensus staging model and standardize a terminology that could be used to advance future research including staging of BD and related disorders.

RESULTS

Consensus opinion and areas of uncertainty or difference were identified in regard to terms referring to staging as it may apply to BD, to at-risk status and subthreshold stages, and to various clinical stages of BD as it is currently diagnosed.

CONCLUSION

The use of a standardized nomenclature about the clinical stages of BD will facilitate communication about research on clinical and pathological components of this heterogeneous group of disorders. The concepts presented are based on current evidence, but the template provided allows for further refinements as etiological advances come to light.

Comparing re-hospitalisation rates in a real-world naturalistic 24-month follow-up of psychotic patients with different treatment strategies: Oral versus LAI antipsychotics

AIM & BACKGROUND

Non-adherence to antipsychotic treatment is a major issue in the management of severe psychiatric disorders, because it is usually related to future relapses and re-hospitalisations. Long-Acting-Injection (LAI) antipsychotics can be useful to increase treatment adherence in these patients. The aim of the present study was to compare the re-hospitalisation rates of psychotic patients discharged from a psychiatric ward and then, divided into three groups upon the treatment received: LAI antipsychotic, oral antipsychotic at home or oral antipsychotic administered daily by psychiatric nurse staff as patients lived in a long-term care facility.

METHODS

Data on all inpatients consecutively admitted to the Psychiatric Unit of the Nuovo Ospedale Apuano (Massa, Italy), between January 2017 and December 2018, were obtained by the registration record system. Information about eventual re-hospitalisations of these patients, occurred within a 24-month timeframe since discharge, were collected from the same database.

RESULTS

In a Kaplan-Meyer analysis, patients treated with LAI antipsychotics showed significantly lower re-hospitalisation rates in the first 24 months after discharge than those treated with oral ones.

CONCLUSIONS

This study highlights the impact of LAI antipsychotics in preventing re-hospitalisation in severe psychotic patients at high risk in a naturalistic setting. The benefits appear relevant also with respect to a controlled long-term oral antipsychotic treatment, however, further studies are needed to develop more tailored intervention strategies in such complex psychiatric population.

Conceptualizing the later stage of bipolar disorder: Descriptive analyses from the ORBIT trial

OBJECTIVES

This study aimed to investigate the features of later stage bipolar disorder (BD) and specifically, factors underlying later stage BD and potential subgroups within this stage, to understand more about the later stage group and contribute to the measurement of stage.

METHODS

An exploratory factor analysis was conducted using variables relating to current phenomenological aspects of illness, followed by cluster analyses based on the identified factors. Finally, the resultant clusters were compared based on course of illness variables.

RESULTS

Fourteen extracted factors explained 57 percent of the variance. Latent structures aligned with current depressive symptoms, energy and interest, independence, occupational functioning, symptoms of anxiety, pain, elevated symptoms, interpersonal functioning, anger, perceptions of social connections, and perceptions of current medication effectiveness, cognitive issues, sleep issues, and sense of isolation. Two clusters were identified which differed significantly on each of these factors, and on a range of course of illness features including lifetime number of episodes, duration of illness and number of depressive hospitalizations.

CONCLUSIONS

Latent phenomenological features relevant to individuals in the later stage of BD were identified. Two clusters of individuals in later stage BD differ based on these features as well as course of illness, suggesting that there are distinct subgroups of individuals in the later stage of BD, distinguishable based on current phenomenology and illness history. However, findings are exploratory and therefore require confirmation before they can be applied clinically.

Pharmacogenetics of Carbamazepine and Valproate: Focus on Polymorphisms of Drug Metabolizing Enzymes and Transporters

Pharmacogenomics can identify polymorphisms in genes involved in drug pharmacokinetics and pharmacodynamics determining differences in efficacy and safety and causing inter-individual variability in drug response. Therefore, pharmacogenomics can help clinicians in optimizing therapy based on patient's genotype, also in psychiatric and neurological settings. However, pharmacogenetic screenings for psychotropic drugs are not routinely employed in diagnosis and monitoring of patients treated with mood stabilizers, such as carbamazepine and valproate, because their benefit in clinical practice is still controversial. In this review, we summarize the current knowledge on pharmacogenetic biomarkers of these anticonvulsant drugs.

The 2020 Royal Australian and New Zealand College of Psychiatrists clinical practice guidelines for mood disorders

OBJECTIVES

To provide advice and guidance regarding the management of mood disorders, derived from scientific evidence and supplemented by expert clinical consensus to formulate s that maximise clinical utility.

METHODS

Articles and information sourced from search engines including PubMed, EMBASE, MEDLINE, PsycINFO and Google Scholar were supplemented by literature known to the mood disorders committee (e.g. books, book chapters and government reports) and from published depression and bipolar disorder guidelines. Relevant information was appraised and discussed in detail by members of the mood disorders committee, with a view to formulating and developing consensus-based recommendations and clinical guidance. The guidelines were subjected to rigorous consultation and external review involving: expert and clinical advisors, key stakeholders, professional bodies and specialist groups with interest in mood disorders.

RESULTS

The Royal Australian and New Zealand College of Psychiatrists mood disorders clinical practice guidelines 2020 (MDcpg²⁰²⁰) provide up-to-date guidance regarding the management of mood disorders that is informed by evidence and clinical experience. The guideline is intended for clinical use by psychiatrists, psychologists, primary care physicians and others with an interest in mental health care.

CONCLUSION

The MDcpg²⁰²⁰ builds on the previous 2015 guidelines and maintains its joint focus on both depressive and bipolar disorders. It provides up-to-date recommendations and guidance within an evidence-based framework, supplemented by expert clinical consensus.

MOOD DISORDERS COMMITTEE

Gin S Malhi (Chair), Erica Bell, Darryl Bassett, Philip Boyce, Richard Bryant, Philip Hazell, Malcolm Hopwood, Bill Lyndon, Roger Mulder, Richard Porter, Ajeet B Singh and Greg Murray.

Predictors of quality of life in bipolar disorder: A path analytical study

Quality of life (QoL) is an important outcome in psychiatric illnesses like bipolar disorder (BD). However, little is known about the variables that affect it, and therefore contribute to prognosis and treatment outcomes in these populations. This study aimed to explore QoL in BD and investigate its relationship with modifiable (cognitive reserve, cognitive ability, mood symptoms) and non-modifiable factors (diagnosis, previous suicide attempts, substance misuse, age). The WHOQOL-bref was administered to 121 control participants and 109 patients with BD, who also underwent clinical and neuropsychological assessments. Factor analysis was used to identify latent constructs underlying WHOQOL-bref domains, and structural equation models were used to examine predictors of each latent construct. Two latent constructs were identified in the WHOQOL-bref, and labeled 'Personal' and 'Social' QoL. Both were directly predicted by depression symptoms and a diagnosis of BD, and indirectly predicted by (hypo)manic symptoms. Cognitive reserve was a stronger predictor of social QoL than a diagnosis of BD. Our findings suggest that the management of depression symptoms and fostering of cognitive reserve may improve QoL in BD. A diagnosis of BD and/or substance use disorders were risk factors for poor QoL, and may signal the need for preventive interventions to promote well-being.

Does stage of illness influence recovery-focused outcomes after psychological treatment in bipolar disorder? A systematic review protocol

BACKGROUND

There is great interest in the possibility that 'stage of illness' moderates treatment outcomes in bipolar disorder (BD). Much remains unknown about the construct of stage of illness, but there is evidence that effectiveness of psychosocial interventions may depend on factors that are plausible proxy measures of stage of illness (e.g., number of episodes). To date, reviews of this data have focused solely on clinical outcomes (particularly symptoms and relapse rates), but a range of recovery-focused outcomes (including functioning, cognitive functioning, and quality of life) have been measured in individuals with established BD. The aim of the proposed systematic review is to synthesise existing evidence for plausible proxy measures of stage of illness as moderators of recovery-focused and functional outcomes in psychosocial treatment studies of BD.

METHODS

The proposed review will follow PRISMA guidelines; Scopus, PsychINFO, PubMed and Web of Science will be searched for empirical studies of psychosocial interventions used for established (clinical stages 2-4) BD; and findings will be summarised in a narrative synthesis of clinical stage of illness (operationalised in proxy measures identified in existing staging models) as a moderator of recovery-focused and functional outcomes of psychosocial interventions for established bipolar disorder.

DISCUSSION

This review will contribute to the literature by expanding upon previous reviews and potentially inform the psychosocial treatment of established BD. Implications include assisting clinicians, consumers and researchers to identify and select interventions most appropriate to recovery-focused goals based on individuals' clinical status.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42016037868.