The role of comorbidities in duration of untreated illness for bipolar spectrum disorders

Diagnostic error in mental health: a review

Diagnostic errors are associated with patient harm and suboptimal outcomes. Despite national scientific efforts to advance definition, measurement and interventions for diagnostic error, diagnosis in mental health is not well represented in this ongoing work. We aimed to summarise the current state of research on diagnostic errors in mental health and identify opportunities to align future research with the emerging science of diagnostic safety. We review conceptual considerations for defining and measuring diagnostic error, the application of these concepts to mental health settings, and the methods and subject matter focus of recent studies of diagnostic error in mental health. We found that diagnostic error is well understood to be a problem in mental healthcare. Although few studies used clear definitions or frameworks for understanding diagnostic error in mental health, several studies of missed, wrong, delayed and disparate diagnosis of common mental disorders have identified various avenues for future research and development. Nevertheless, a lack of clear consensus on how to conceptualise, define and measure errors in diagnosis will pose a barrier to advancement. Further research should focus on identifying preventable missed opportunities in the diagnosis of mental disorders, which may uncover generalisable opportunities for improvement.

Physical comorbidity is associated with overnight hospitalization in U.S. adults with asthma: an assessment of the 2005-2018 National Health and Nutrition Examination Surveys

OBJECTIVE

Identifying the effects of comorbidity on healthcare utilization is critical for understanding the benefits of improved comorbidity management. Asthma is a common respiratory condition, associated with gastrointestinal, metabolic, psychiatric, and other respiratory conditions. Adults with asthma represent a key population in understanding comorbidity and its consequences. The objective was to explore the relationship between comorbidity and overnight hospitalizations in U.S. adults with asthma.

STUDY DESIGN AND METHODS

A cross-sectional sample of 3,887 subjects aged 20-79 was aggregated from seven cycles (2005-2018) of the National Health and Nutrition Examination Survey (NHANES). The survey design was created using the full seven cycles, then a subpopulation was used for the analysis. Design-based modified Poisson regression with robust standard errors compared the prevalence of overnight hospitalizations in subjects with and without comorbidities. Comorbidity was defined as the presence of one or more additional chronic conditions.

RESULTS

Over half (61.6%) of patients with asthma reported having comorbidities. The overnight hospitalization prevalence was higher in those with comorbidities (21.6%) than those without (7.4%). The adjusted prevalence ratio of overnight hospitalizations in those with comorbidities vs. those without was 2.02 (95% CI: 1.54-2.66). Conclusions from sensitivity analyses remained the same.

CONCLUSIONS

Comorbidity in U.S. adult asthma patients is associated with increased overnight hospitalizations. Study results concur with examinations of other healthcare utilization outcomes, revealing how comorbidity influences healthcare utilization patterns in patients with asthma. The reduction of overnight hospitalizations should be a targeted goal when developing and evaluating interventions to manage comorbidities in patients with asthma.

Prevalence and correlates of manic/hypomanic and depressive predominant polarity in bipolar disorder: systematic review and meta-analysis

BACKGROUND

Identification of the predominant polarity, i.e. hypomanic/manic (mPP) or depressive predominant polarity (dPP), might help clinicians to improve personalised management of bipolar disorder.

AIMS

We performed a systematic review and meta-analysis to estimate prevalence and correlates of mPP and dPP in bipolar disorder.

METHOD

The protocol was registered in the Open Science Framework Registries (https://doi.org/10.17605/OSF.IO/8S2HU). We searched main electronic databases up to December 2023 and performed random-effects meta-analyses of weighted prevalence of mPP and dPP. Odds ratios and weighted mean differences (WMDs) were used for relevant correlates.

RESULTS

We included 28 studies, providing information on rates and/or correlates of mPP and dPP. We estimated similar rates of mPP (weighted prevalence = 30.0%, 95% CI: 23.1 to 37.4%) and dPP (weighted prevalence = 28.5%, 95% CI: 23.7 to 33.7%) in bipolar disorder. Younger age (WMD = -3.19, 95% CI: -5.30 to -1.08 years), male gender (odds ratio = 1.39, 95% CI: 1.10 to 1.76), bipolar-I disorder (odds ratio = 4.82, 95% CI: 2.27 to 10.24), psychotic features (odds ratio = 1.56, 95% CI: 1.01 to 2.41), earlier onset (WMD = -1.57, 95% CI: -2.88 to -0.26 years) and manic onset (odds ratio = 13.54, 95% CI: 5.83 to 31.46) were associated with mPP (P < 0.05). Depressive onset (odds ratio = 12.09, 95% CI: 6.38 to 22.90), number of mood episodes (WMD = 0.99, 95% CI: 0.28 to 1.70 episodes), history of suicide attempts (odds ratio = 2.09, 95% CI: 1.49 to 2.93) and being in a relationship (odds ratio = 1.98, 95% CI: 1.22 to 3.22) were associated with dPP (P < 0.05). No differences were estimated for other variables.

CONCLUSIONS

Despite some limitations, our findings support the hypothesis that predominant polarity might be a useful specifier of bipolar disorder. Evidence quality was mixed, considering effects magnitude, consistency, precision and publication bias. Different predominant polarities may identify subgroups of patients with specific clinical characteristics.

Which clinical factors delay proper treatment in panic disorder? A cross-sectional multicentric study

AIM

The aim of the present study was to identify clinical and socio-demographic factors associated with duration of untreated illness (DUI) in patients affected by panic disorder (PD).

METHODS

Data were collected from patients' medical records (N = 157) of two mental health services respectively located in Milan and in Monza (Italy). Correlation analyses and analysis of variance (ANOVAs) were run to analyse the relation between DUI and quantitative/qualitative variables respectively. Statistically significant variables in uni- variate analyses were then inserted in a linear multivariable regression model (backward procedure).

RESULTS

Mean DUI was 27.33 (±50.56) months. Patients with an earlier age at onset (r = -0.270; p < .01), a longer duration of illness (r = 0.483; p < .01) and who received a lifetime psychotherapy (F = 6.86; p = .01) had a longer DUI. The final global model showed that a longer DUI was associated with pre-onset poly-substance misuse (p = .05) and a longer duration of illness (p < .01).

CONCLUSION

The results of our study showed that a longer DUI was predicted by clinical factors such as the presence of a pre-onset poly-substance use disorder and that delayed proper treatment can lead to a chronicization of PD, as indicated by a longer duration of illness. Further studies are needed to in-depth investigate the role of DUI in influencing the course and outcome of anxiety disorders, including PD.

Personality disorders in patients with newly diagnosed bipolar disorder, their unaffected first-degree relatives and healthy control individuals

OBJECTIVE

Bipolar disorder (BD) is often a progressive mood disorder with a high prevalence of comorbid personality disorder (PD) ranging from 25 to 73 %. Previous studies have included patients with various illness duration of BD. Longer illness duration may be associated with increased prevalence of comorbid PD. This study investigated the prevalence of comorbid personality disorders in patients with newly diagnosed BD and their unaffected first-degree relatives (UR) compared with healthy control individuals (HC).

METHODS

We included 204 patients with newly diagnosed BD, 109 of their UR and 188 HC. To assess comorbid PD according to DSM-IV, the SCID-II-interview was performed in full or partial remission. Subthreshold PD was defined as scores above cut-off in the SCID-II self-report questionnaires. Functioning was assessed using the Functioning Assessment Short Test.

RESULTS

In total 52 (25.5 %) of the patients with newly diagnosed BD fulfilled criteria for a comorbid PD. Regarding UR, 7 (6.4 %) fulfilled the criteria for a PD. Subthreshold PD were more prevalent in BD (82.8 %) and UR (53.0 %) than in HC (35.1 %), p-values < 0.003). Patients with comorbid PD presented with impaired functioning compared with patients without PD.

LIMITATIONS

Clinical diagnostic distinction between PD and BD is challenged by overlapping symptoms.

CONCLUSION

A quarter of patients with newly diagnosed BD fulfill criteria for a comorbid PD, already at the time of the diagnosis with BD. A comorbid PD is associated with larger functional impairments. This emphasizes the need for early assessment of comorbid PD at time of BD diagnosis.

Correlates of long duration of untreated illness (DUI) in patients with bipolar disorder: results of an observational study

BACKGROUND

Despite a high number of studies investigating the correlation between long Duration of Untreated Illness (DUI) and poor course of Bipolar Disorder (BD), the results concerning the impact of DUI on some specific factors, such as suicidality and medical comorbidities, are still inconsistent. This cross-sectional observational study aimed at analyzing potential socio-demographic and clinical correlates of long DUI in a large cohort of real-world, well-characterized BD patients.

METHODS

The socio-demographic and clinical characteristics of 897 patients with BD were collected. The sample was divided for analysis in two groups (short DUI vs long DUI) according to a DUI cutoff of 2 years. Comparisons were performed using χ2 tests for categorical variables and the Kruskal-Wallis test for continuous variables. Logistic regression (LogReg) was used to identify explanatory variables associated with DUI (dependent variable).

RESULTS

Six-hundred and sixty patients (75.5%) presented long DUI (> 2 years) and mean DUI was 15.7 years. The LogReg analysis confirmed the association of long DUI with bipolar II disorder (p: 0.016), lower age at onset (p < 0.001), depressive predominant polarity (p: 0.018), depressive polarity onset (p < 0.001), longer duration of illness (p < 0.001), lifetime suicide attempts (p: 0.045) and current medical comorbidities (p: 0.019).

CONCLUSIONS

The present study confirms the association between long DUI and higher risk of suicide attempts in patients with BD. Moreover, an association between long DUI and higher rates of medical conditions has been found.

A systematic review and meta-analysis of delayed help-seeking, delayed diagnosis and duration of untreated illness in bipolar disorders

OBJECTIVES

To examine the time delay between the age at onset of symptoms or episodes of bipolar disorders (BD) and the age at diagnosis of and/or receipt of clinical practice guideline recommended interventions for BD.

METHODS

Systematic search of five databases to identify publications from January 2000 to July 2022 that reported one or more of the following reliable and valid estimates of latency: delay in help seeking (DHS), delay in diagnosis (DD) and duration of untreated BD (DUB). Eligible studies were included in random effects meta-analyses and multivariate meta-regression was used to assess factors associated with each latency construct.

RESULTS

Screening of 1074 publications identified 59 eligible studies (reported in 66 publications) of >40,000 individuals that estimated DHS (8 studies), DD (20 studies) and/or DUB (45 studies). The median DHS, DD and DUB were 3.5 (IQR: 2.8, 8.48), 6.7 (IQR: 5.6, 8.9) and 5.9 years (IQR: 1.1, 8.2), respectively. Key factors associated with shorter DD included older age and residing outside North America; shorter DUB was associated with psychotic or manic onset and access to early intervention services.

CONCLUSIONS

Greater consensus on definitions of latency constructs and better-quality targeted research is required regarding DHS, DD and DUB. This review suggests that, while the peak age at onset of BD is 15-25, diagnosis and guideline recommended interventions (e.g., mood stabilizers) are likely to be delayed until age 25-35 years except for a minority of individuals with access to early intervention services.

Clinical and psychopathological correlates of duration of untreated illness (DUI) in affective spectrum disorders

Affective disorders represent psychopathological entities lying on a continuum, characterized by high prevalence and functional impairment. A delay in treatment initiation might increase the burden associated with affective spectrum disorders. The present study was aimed at analyzing the correlates of a long duration of untreated illness (DUI) in these conditions. We recruited subjects diagnosed with affective disorders, both in- and outpatients, and collected information concerning socio-demographic, clinical, and psychopathological characteristics. Long DUI was defined according to previous research criteria as >2 years for Bipolar Disorders or >1 year for Depressive Disorders. Bivariate analyses were performed to compare subjects with a long and short DUI (p<0.05). A logistic regression was operated to evaluate the correlates of long DUI. In the present sample (n=135), 34.1% (n=46) subjects showed a long DUI. This subgroup presented with more physical comorbidities (p=0.003), higher body mass index (BMI) (p<0.001), more frequent anxiety onset (p=0.018), younger onset age (p=0.042), and more severe depressive symptoms (Hamilton Depression Rating Scale item 1-depressed mood (p=0.032) and item 2-guilt feelings (p=0.018)). At the logistic regression, higher severity of depressed mood (OR 1.568), higher BMI (OR 1.264), and younger age at onset (OR 0.935) were associated with long DUI. The present study confirmed a possible role of DUI as a construct underpinning higher clinical severity in affective spectrum disorders, possibly linked to worse illness course and unfavorable outcomes. Intervention strategies targeting physical comorbidities and depressive symptoms severity may decrease disease burden in subjects with a long DUI.

Sex Differences in Bipolar Disorders: Impact on Psychopathological Features and Treatment Response

INTRODUCTION

Sex differences were demonstrated in bipolar disorders (BD) concerning epidemiological, clinical, and psychopathological characteristics, but consensus is lacking. Moreover, data concerning the influence of sex on treatment response in BD is contrasting. The present cross-sectional study aimed to analyze sex differences in a population of BD subjects, with specific focus on psychopathological features and treatment response.

MATERIALS AND METHODS

Subjects diagnosed with BD according to the Diagnostic and Statistical Manual of Mental Disorders, 5th version (DSM-5) were recruited. Socio-demographic and clinical characteristics were collected. The Hamilton Rating Scale for Depression, the Mania Rating Scale (MRS), the brief version of the Temperament Evaluation of Memphis, Pisa and San Diego-Münster version (briefTEMPS-M), and the Barratt Impulsiveness Scale-11 items (BIS-11) were used for psychopathological assessment. Treatment response was appraised with the Alda Scale. We performed bivariate analyses to compare socio-demographic, clinical, and psychopathological characteristics between men and women (p < 0.05). A logistic regression was run to analyze features that were significantly associated with female sex.

RESULTS

Among the recruited 219 BD subjects, 119 (54.3%) were females. Women had a lower scholarity (p = 0.015) and were less frequently employed (p = 0.001). As for psychopathological features, a higher MRS total score (p < 0.001) was detected among women, as well as higher BIS-11 total score (p = 0.040), and briefTEMPS-M score for anxious temperament (p = 0.006). Men showed higher prevalence of DSM-5 mixed features (p = 0.025), particularly during a depressive episode (p = 0.014). Women reported longer duration of untreated illness (DUI) (p < 0.001). There were no sex differences in the Alda Scale total score when considering the whole sample, but this was significantly higher among men (p = 0.030) when evaluating subjects treated with anticonvulsants. At the logistic regression, female sex was positively associated with longer DUI (p < 0.001; OR 1.106, 95% CI 1.050-1.165) and higher MRS total score (p < 0.001; OR 1.085, 95% CI 1.044-1.128) and negatively associated with employment (p = 0.003; OR 0.359, 95% CI 0.185-0.698) and DSM-5 mixed features (p = 0.006; OR 0.391, 95% CI 0.200-0.762).

CONCLUSIONS

The clinical presentation of BD may differ depending on sex. The severity of BD should not be neglected among women, who may also display worse treatment response to anticonvulsants.

Duration of untreated illness and bipolar disorder: time for a new definition? Results from a cross-sectional study

BACKGROUND

We primarily aimed to explore the associations between duration of untreated illness (DUI), treatment response, and functioning in a cohort of patients with bipolar disorder (BD).

METHODS

261 participants with BD were recruited. DUI was defined as months from the first affective episode to the start of a mood-stabilizer. The functioning assessment short test (FAST) scores and treatment response scores for lithium, valproate, or lamotrigine according to the Alda Scale Total Score (TS) were compared between patients with short (<24 months) or long DUI. Differences in FAST scores among good (GR; TS≥7), poor (PR; TS=2-6), or non-responders (NR; TS<2) to each mood-stabilizer were analyzed. Linear regression was computed using the FAST global score as the dependent variable.

RESULTS

DUI and FAST scores showed no statistically significant correlation. Patients with a longer DUI showed poorer response to lithium (Z=-3.196; p<0.001), but not to valproate or lamotrigine. Response to lithium (β=-1.814; p<0.001), number of hospitalizations (β=0.237; p<0.001), and illness duration (β=0.160; p=0.028) were associated with FAST total scores. GR to lithium was associated with better global functioning compared to PR or NR [H=27.631; p<0.001].

LIMITATIONS

The retrospective design could expose our data to a recall bias. Also, only few patients were on valproate or lamotrigine treatment.

CONCLUSIONS

Poor functioning in BD could be the result of multiple affective relapses, rather than a direct effect of DUI. A timely diagnosis with subsequent effective prophylactic treatment, such as lithium, may prevent poor functional outcomes in real-world patients with BD.

Which factors delay treatment in bipolar disorder? A nationwide study focussed on duration of untreated illness

AIM

The aim of the present study was to detect factors associated with duration of untreated illness (DUI) in bipolar disorder (BD).

METHOD

A total of 1575 patients were selected for the purposes of the study. Correlation analyses were performed to analyse the relation between DUI and quantitative variables. The length of DUI was compared between groups defined by qualitative variables through one-way analyses of variance or Kruskal-Wallis's tests according to the distribution of the variable. Linear multivariable regressions were used to find the most parsimonious set of variables independently associated with DUI: to this aim, qualitative variables were inserted with the numeric code of their classes by assuming a proportional effect moving from one class to another.

RESULTS

An inverse significant correlation between length of DUI and time between visits in euthymic patients was observed (r = -.52, P < .001). DUI resulted to be longer in patients with: at least one lifetime marriage/partnership (P = .009), a first psychiatric diagnosis of major depressive disorder or substance abuse (P < .001), a depressive polarity of first episode (P < .001), no lifetime psychotic symptoms (P < .001), BD type 2 (P < .001), more lifetime depressive/hypomanic episodes (P < .001), less lifetime manic episodes (P < .001), presence of suicide attempts (P = .004), depressive episodes (P < .001), hypomanic episodes (P = .004), hospitalizations (P = .011) in the last year.

CONCLUSIONS

Different factors resulted to increase the length of DUI in a nationwide sample of bipolar patients. In addition, the DUI was found to show a negative long-term effect in terms of more suicidal behaviour, more probability of hospitalization and depressive/hypomanic episodes.

Comorbidities, Depression Severity, and Circadian Rhythms Disturbances as Clinical Correlates of Duration of Untreated Illness in Affective Disorders

Background and Objectives: Affective disorders, namely bipolar (BDs) and depressive disorders (DDs) are characterized by high prevalence and functional impairment. From a dimensional point of view, BDs and DDs can be considered as psychopathological entities lying on a continuum. A delay in treatment initiation might increase the burden associated with affective disorders. The aim of this study is to analyze the correlates of a long duration of untreated illness (DUI) in these conditions. Materials and Methods: Subjects with BDs and DDs, both in- and outpatients, were recruited. Long DUI was defined according to previous research criteria as >2 years for BDs or >1 year for DDs. Socio-demographic, clinical and psychopathological characteristics of the recruited subjects were collected. Bivariate analyses were performed to compare subjects with a long and short DUI (p < 0.05). Results: In our sample (n = 61), 34.4% of subjects presented a long DUI. A long DUI was significantly associated with longer overall illness duration (p = 0.022) and a higher rate of psychiatric (p = 0.048) and physical comorbidities (p = 0.023). As for psychopathological features, depressive symptoms were more severe in the long DUI subgroup, as demonstrated by a higher score at the Clinical Global Impression-severity of depression (p = 0.012) item and at the anxiety/depression factor of the Positive and Negative Syndrome Scale (p = 0.041). Furthermore, subjects with a long DUI displayed more severe disruption of circadian rhythms, as evaluated by the Biological Rhythms Interview for Assessment in Neuropsychiatry total (p = 0.044) and social domain (p = 0.005) scores and by the Hamilton Depression Rating Scale diurnal variation items (18a: p = 0.029, 18b: p = 0.047). Conclusions: A long DUI may underpin higher clinical severity, as well as worse illness course and unfavorable prognosis in affective disorders. Intervention strategies targeting comorbidities, depressive symptoms and circadian rhythms may decrease disease burden in subjects with a long DUI.

Risk Calculators in Bipolar Disorder: A Systematic Review

INTRODUCTION

Early recognition of bipolar disorder improves the prognosis and decreases the burden of the disease. However, there is a significant delay in diagnosis. Multiple risk factors for bipolar disorder have been identified and a population at high-risk for the disorder has been more precisely defined. These advances have allowed the development of risk calculators to predict individual risk of conversion to bipolar disorder. This review aims to identify the risk calculators for bipolar disorder and assess their clinical applicability.

METHODS

A systematic review of original studies on the development of risk calculators in bipolar disorder was performed. The studies' quality was evaluated with the Newcastle-Ottawa Quality Assessment Form for Cohort Studies and according to recommendations of the Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis Initiative.

RESULTS

Three studies met the inclusion criteria; one developed a risk calculator of conversion from major depressive episode to bipolar disorder; one of conversion to new-onset bipolar spectrum disorders in offspring of parents with bipolar disorder; and the last one of conversion in youths with bipolar disorder not-otherwise-specified.

CONCLUSIONS

The calculators reviewed in this article present good discrimination power for bipolar disorder, although future replication and validation of the models is needed.

Depression Preceding Diagnosis of Bipolar Disorder

This paper focuses on depression that precedes an onset of manifest bipolar disorder as early stage bipolar disorder. First, we review how to pragmatically identify the clinical characteristics of patients presenting with an episode of depression who subsequently go on to develop episodes of mania or hypomania. The existing literature shows a strong consensus: accurate identification of depression with early onset and recurrent course with multiple episodes, subthreshold hypomanic and/or mixed symptoms, and family history of bipolar disorder or completed suicide have been shown by multiple authors as signs pointing to bipolar diagnosis. This contrasts with relatively limited information available to guide management of such "pre-bipolar" (pre-declared bipolar) patients, especially those in the adult age range. Default assumption of unipolar depression at this stage carries significant risk. Antidepressants are still the most common pharmacological treatment used, but clinicians need to be aware of their potential harm. In some patients with unrecognized bipolar depression, antidepressants can not only produce switch to (hypo)mania, but also mixed symptoms, or worsening of depression with an increased risk of suicide. We review pragmatic management strategies in the literature beyond clinical guidelines that can be considered for this at-risk group encompassing the more recent child and adolescent literature. In the future, genetic research could make the early identification of bipolar depression easier by generating informative markers and polygenic risk scores.

Remission and recurrence in bipolar disorder: The data from health outcomes and patient evaluations in bipolar disorder (HOPE-BD) study

BACKGROUND

The HOPE-BD was a naturalistic study established to follow individuals in Canada seeking treatment for bipolar disorder (BD). The study aimed to examine the course of BD and describe how clinical and sociodemographic factors are associated with outcomes.

METHODS

Individuals with BD had their clinical data recorded at enrolment and were naturalistically treated. Participant were followed for up to four years, and visits occurred at least once every three months. We investigated the longitudinal outcomes with logistic, Cox, and quantile regressions.

RESULTS

Among the 354 participants, 57.3% had BD type I. Depression as first episode, younger ages at onset and older ages of the first professional help predicted longer delays in correct diagnosis. Among the symptomatic patients at baseline, the median time to remission was 10.9 months. Comorbid alcohol use disorder and the severity of baseline depressive symptoms predicted longer times to remission. Among the euthymic participants, the median time to recurrence was 14.5 months. History of anxiety disorder and younger ages at onset predicted shorter times to recurrence. Baseline depression scores predicted recurrence in euthymic patients.

LIMITATIONS

We did not investigate the predictors of each polarity. Our findings may not apply to individuals followed in non-specialised outpatient services.

CONCLUSION

Our study reinforces the necessity of early diagnosis and interventions, as well as the importance of treating depressive symptoms and comorbidities.

A Digital Platform Designed for Youth Mental Health Services to Deliver Personalized and Measurement-Based Care

Mental disorders that commonly emerge during adolescence and young adulthood are associated with substantial immediate burden and risks, as well as potentially imparting lifetime morbidity and premature mortality. While the development of health services that are youth focused and prioritize early intervention has been a critical step forward, an ongoing challenge is the heterogeneous nature of symptom profiles and illness trajectories. Consequently, it is often difficult to provide quality mental health care, at scale, that addresses the broad range of health, social, and functional needs of young people. Here, we describe a new digital platform designed to deliver personalized and measurement-based care. It provides health services and clinicians with the tools to directly address the multidimensional needs of young people. The term "personalized" describes the notion that the assessment of, and the sequence of interventions for, mental disorders are tailored to the young person-and their changing needs over time, while "measurement-based" describes the use of systematic and continuing assessment of a young person's outcomes over the entire course of clinical care. Together, these concepts support a framework for care that transcends a narrow focus on symptom reduction or risk reduction. Instead, it prioritizes a broader focus on enhancing social, health, and physical outcomes for young people and a commitment to tracking these outcomes throughout this key developmental period. Now, with twenty-first century technologies, it is possible to provide health services with the tools needed to deliver quality mental health care.

Modifiable and non-modifiable factors associated with functional impairment during the inter-episodic periods of bipolar disorder

The chronic, long-term evolution of bipolar disorder (BD) requires a careful clinical characterization with prognostic implications in terms of symptom and functional control. The OPTHYMUM multicenter study was conducted in France with the objective of evaluating residual symptoms on overall functioning of BD patients during inter-episodic period. The aims of the present study were to identify the potentially modifiable (e.g., treatable) and non-modifiable variables associated with functional impairment during the inter-episodic periods of BD. Sample was divided into two groups according to level of functioning (adequate vs. impaired), based on the FAST scale total score. FAST cut-off for functional impairment is a score >11. The two subgroups were compared as per sociodemographic and clinical variables with standard univariate analyses, and a logistic regression model was created. The model as a whole contained independent non-modifiable factors (age, gender, BD type, illness duration) and modifiable factors (illness severity, predominant polarity, depressive and manic residual symptoms, comorbidities). The final model was statistically significant (χ ² = 53.89, df = 5, p < 0.001). Modifiable factors most strongly associated with functional impairment were manic predominant polarity (OR = 1.79, CI 95% 1.09-2.96, p = 0.022), residual depressive symptoms (OR = 1.30, CI 95% 1.18-1.43, p < 0.001) and illness severity (OR = 1.24, CI 95% 1.01-1.52, p = 0.037), whilst non-modifiable factor was illness duration (OR = 1.03, CI 95% 1.01-1.05, p = 0.017). Despite intrinsic and non-modifiable illness characteristics, a clinical-wise choice of treatment may help to improve control of manic relapses. Potential improvement of residual depressive symptoms may alleviate the functional burden associated with bipolar disorder.

Lifetime presence of psychotic symptoms in bipolar disorder is associated with less favorable socio-demographic and certain clinical features

BACKGROUND

The presence of psychotic symptoms in bipolar disorder (BD) is considered a feature of higher severity of illness and, in particular, of manic episodes in bipolar I disorder (BD I). However, the possibility to apply the "with psychotic features" specifier to major depressive episodes in either bipolar II disorder (BD II) or BD I highlights the need for additional research in this area.

METHODS

The present study assessed the lifetime presence of psychotic symptoms and related socio-demographic and clinical features in a large sample of BD patients (N=360), with (BDPs, N=207) and without a lifetime history of psychosis (BDNPs, N=153).

RESULTS

An overall less favorable socio-demographic profile was observed in BDPs vs BDNPs. In terms of clinical variables, BDPs vs BDNPs had: earlier age at onset (27.7±10.5 vs 30.1±12.3years; p=0.02), higher rates of BD I diagnosis (95.7% vs 45.8%; p<0.001), more elevated (manic/hypomanic/mixed) polarity of first (55.2% vs 24.4%; p<0.001) and most recent episode (69.8% vs 35.6%; p<0.001), more comorbid alcohol/substance use disorder (38.1% vs 21.9%; p=0.002), more lifetime hospitalizations (3.8±6.1 vs 2±3; p=0.002) and involuntary commitments (1±1.9 vs 0.1±0.4; p<0.001), more history of psychosocial rehabilitation (17.9% vs 5.7%; p=0.001), more current antipsychotic use (90.1% vs 70.9%; p<0.001), and lower GAF (62.3±14.2 vs 69.3±12.5; p<0.001), but shorter duration of most recent episode (34.1±45.4 vs 50.3±65.7days; p=0.04), lower rates of comorbid anxiety disorders (23.9% vs 38.2%; p=0.005), and antidepressant use (19.4% vs 56.6%; p<0.001).

CONCLUSIONS

The present findings indicate an overall worse profile of socio-demographic and certain clinical characteristics associated with the lifetime presence of psychotic symptoms in bipolar patients.

Duration of untreated illness in first-treatment bipolar I disorder in relation to clinical outcome and cannabis use

There is little knowledge about the role of the duration of untreated bipolar (DUB) illness in first-treatment bipolar disorder I (BD I), its association with symptoms at start of first treatment, and development over the first year, and limited knowledge about factors that influence the length of DUB. Substance use has shown to delay identification of primary psychiatric disorders, and while cannabis use is common in BD the role of cannabis in relationship to DUB is unclear. The aim of the present study is to examine the associations between DUB and key clinical outcomes at baseline in BD I, and at one year follow-up, and to evaluate the influence of cannabis use. Patients with first-treatment BD I (N=62) completed comprehensive clinical evaluations, which included both DUB and the number of previous episodes. There were no significant associations between DUB and key clinical outcomes. Longer duration from first manic episode to treatment was associated with risk of starting excessive cannabis use after onset of the bipolar disorder. The main finding is the lack of significant associations between features of previous illness episodes and clinical outcomes. Long duration of untreated mania seems to increase the risk for later cannabis use.

Is treatment for bipolar disorder more effective earlier in illness course? A comprehensive literature review

Background

We aimed to investigate a key element of the early intervention approach; whether treatment at an earlier stage of bipolar disorder is more effective than later in its course.

Methods

A comprehensive literature review using Medline, Embase, Psychinfo, PsycArticle and Web of Science as data sources, with a subsequent narrative synthesis. Study quality was assessed using the Cochrane risk of bias method.

Results

Our search strategy yielded eight primary papers and two meta-analyses (of psychological therapies and Olanzapine) in total representing 8942 patients. Five studies focused on comparisons between first and multiple episode; the others on fewer vs more episode categories. There was a consistent finding suggesting treatment in earlier illness stage resulted in better outcomes in terms of response, relapse rate, time to recurrence, symptomatic recovery, remission, psychosocial functioning and employment. This effect was found for pharmacological (Lithium, Olanzapine, Divalproex) and psychological treatment.

Limitations

There was high risk of selection, performance and attrition bias in most studies. First admission or presentation is unlikely to equate to first episode because of duration of untreated illness. Some patients having experienced multiple episodes could be “treatment resistant”. Study heterogeneity precluded meta-analysis.

Conclusions

Psychological and pharmacological treatment in the early stages of illness is more effective than in later stages of bipolar disorder across multiple domains. There is a first episode and early phase effect. Consistent with the staging model of illness findings provide evidence for the clinical utility of an early intervention approach in bipolar disorder to improve patient outcomes.

Duration of Untreated Psychosis in Chinese and Mauritian: Impact of Clinical Characteristics and Patients' and Families' Perspectives on Psychosis

Background

Duration of untreated psychosis (DUP) is a potentially modifiable prognostic factor of course and prognosis of psychiatric disorders. Few studies have demonstrated that different cultural backgrounds or perspectives on psychosis may be important factors to the DUP. This study attempted to explore whether the DUP was different in Chinese and Mauritians and to clarify potential influencing factors to a long DUP (>3 months).

Methods

200 patients from China and 100 patients from Mauritius were enrolled in the study. Their respective family members were also recruited. Demographic and clinical characteristics were collected, and the Internalized Stigma of Mental Illness (ISMI) scale was adapted to measure the stigma in all subjects. Binary logistic regression analysis was used to find the potential influencing factors to the long DUP.

Results

35.3% of the enrolled patients had a long DUP. No significant difference was found in frequency of long DUP between the two countries. Chinese patients had relatively less perceptions of stigma. Furthermore, Chinese patients with a long DUP had more perception of breakup due to mental illness (OR = 2.22, p = 0.04) and more families’ perception of the patient being disinherited due to mental illness (OR = 6.47, p = 0.01). Mauritian patients with a long DUP were less likely to have high monthly income (OR = 0.12, p<0.01), while they had less patients’ awareness of mental illness (OR = 0.31, p<0.05) and less families’ awareness of mental illness (OR = 0.14, p<0.01).

Conclusion

The results of this study underlined the importance of DUP in economic conditions, racial and sociocultural factors, and public awareness on psychosis in developing countries.