Prevalence of Comorbid Anxiety Disorders and Their Associated Factors in Patients with Bipolar Disorder or Major Depressive Disorder

Lurasidone for bipolar I depression with comorbid anxiety symptoms: Post-hoc-analysis of randomized, placebo-controlled studies

BACKGROUND

Anxiety comorbidity is common in patients with bipolar disorder and is associated with higher severity and reduced treatment response. The aim of this study was to assess the efficacy and safety of lurasidone in patients with bipolar depression who present with or without severe anxiety symptoms.

METHODS

Data were pooled from 2 bipolar I depression studies of very similar design that randomized patients, double-blind, to 6 weeks of treatment with lurasidone (20-60 mg/day or 80-120 mg/day) versus placebo. Patients were categorized into 2 groups based on their Hamilton Anxiety Rating Scale (HAM-A) score at baseline: a "severe" anxiety group (HAM-A ≥ 18) and a "non-severe" anxiety group (HAM-A < 18). The primary efficacy measure was the Montgomery-Åsberg Depression Rating Scale (MADRS).

RESULTS

In the severe anxiety group, significant improvement in the MADRS total score was observed with a moderate effect size (0.41) on lurasidone 20-60 mg, but lurasidone 80-120 mg was not significant (effect size, 0.21); however, in the non-severe anxiety group significant improvement was observed in both lurasidone treatment groups (effect size, 0.51 and 0.54, respectively). Common adverse events were akathisia and nausea, and the change in laboratory parameters and body weight were small and not clinically meaningful.

LIMITATIONS

This was a post-hoc analysis of a short-term study.

CONCLUSIONS

This analysis suggests that lurasidone 20-60 mg is effective in patients with bipolar I depression regardless of their anxiety severity, with a generally good safety profile.

Adjunctive ketamine vs. buprenorphine in co-occurring major depressive disorder and opioid use disorder: a randomized, double-blind clinical trial assessing anxiety symptom severity and craving intensity

BACKGROUND

The concomitant presence of major depressive disorder (MDD) and opioid use disorder (OUD) poses a formidable clinical challenge, warranting effective interventions that address both psychiatric and addictive components.

AIMS

This study sought to compare the efficacy of adjunctive ketamine and buprenorphine in mitigating anxiety symptom severity and craving intensity in individuals with co-occurring MDD and OUD.

METHODS

A randomized, double-blind clinical trial was conducted, involving individuals meeting diagnostic criteria for both MDD and OUD. Participants were randomly assigned to receive adjunctive ketamine or buprenorphine, in conjunction with standard psychiatric and addiction treatments. Anxiety symptom severity and craving intensity were assessed using Hamilton Anxiety Rating Scale (HAM-A), and the Opioid Craving Scale after 2 h, 24 h, and 7 days.

RESULTS

The findings revealed distinct treatment trajectories, with ketamine demonstrating rapid and substantial reduction in anxiety symptom severity within hours of administration, accompanied by a pronounced decline in opioid craving intensity. In contrast, buprenorphine was associated with a more gradual but sustained improvement in anxiety symptoms over several days, paralleled by a modest initial reduction in opioid craving, followed by persistent attenuation.

CONCLUSIONS

In conclusion, this randomized clinical trial provides evidence supporting the efficacy of adjunctive Ketamine and Buprenorphine in reducing anxiety symptoms and craving intensity in patients with co-occurring MDD and OUD.

TRIAL REGISTRATION

IRCT20211214053411N1.

Untangling the complex relationship between bipolar disorder and anxiety: a comprehensive review of prevalence, prognosis, and therapy

Bipolar disorder (BD) frequently coexists with anxiety disorders, creating complex challenges in clinical therapy and management. This study investigates the prevalence, prognostic implications, and treatment strategies for comorbid BD and anxiety disorders. High comorbidity rates, particularly with generalized anxiety disorder, underscore the necessity of thorough clinical assessments to guide effective management. Our findings suggest that anxiety disorders may serve as precursors to BD, especially in high-risk populations, making early detection of anxiety symptoms crucial for timely intervention and prevention. We also found that comorbid anxiety can negatively affect the course of BD, increasing clinical severity, reducing treatment responsiveness, and worsening prognosis. These complexities highlight the need for caution in using antidepressants, which may destabilize mood. Alternatively, cognitive-behavioral therapy presents a promising, targeted approach for managing BD with comorbid anxiety. In summary, this study provides essential insights for clinicians and researchers, enhancing understanding of BD and anxiety comorbidity and guiding more precise diagnostics and tailored interventions to improve overall patient care.

Major depressive disorder as a moderator of the relationship between heavy-episodic drinking and anxiety symptoms

BACKGROUND

Major depressive disorder and heavy-episodic drinking are risk factors for the development of anxiety. However, the interactive effect between these constructs for predicting anxiety symptoms remains understudied.

AIMS

This study sought to examine how major depressive disorder moderates the relationship between heavy-episodic drinking frequency and the development of anxiety symptoms in adolescence and emerging adulthood among a sample of justice-involved youth, with expectations that the salience of this relationship may differ based on life-course stage.

METHODS

Several waves of the Pathways to Desistance study were analyzed. Poisson regression with robust standard errors was used to test the direct and interactive effects of major depressive disorder and heavy-episodic drinking frequency on anxiety symptoms at follow-up in adolescence and emerging adulthood separately.

RESULTS

Results indicated that there was a significant negative interaction between major depressive disorder and heavy-episodic drinking frequency for predicting anxiety scores in both adolescence and emerging adulthood, though the results for adolescence were more robust.

CONCLUSIONS

These results suggest youth without major depressive disorder that engage in heavy-episodic drinking may be a priority population for treating anxiety issues, but that ceiling effects may limit the impact of the behavior on anxiety on youth with major depressive disorder.

Diagnosis of bipolar and major depressive disorders: The appropriateness of MINI compared to the clinical interview in a sample of patients with mood disorders in tertiary mental health care

OBJECTIVE

The Mini International Neuropsychiatric Interview (MINI) is one of the most used instruments for the assessment of Mental Disorders, playing an essential role in psychiatric research and in clinical and hospital practice. Despite this, the accuracy of the MINI, when used by a psychiatrist, is poorly studied, particularly in relation to Bipolar Disorder (BD). The early diagnosis of BD and Major Depressive Disorder (MDD) is extremely important, as it provides an opportunity for intervention that can reduce the impact on the patient's daily life and functionality. As such, this study assesses the suitability of MINI for diagnosing BD or MDD in a sample of patients with mood disorders.

METHOD

Agreement between the MINI and the clinical interview was assessed in a sample of 347 outpatients by calculating Cohen's kappa, sensitivity, specificity, positive predictive value, negative predictive value, and the area under the curve (AUC).

RESULTS

The sample consisted of 347 patients with mood disorders. 279 were women (80.40%), 105 (30.3%) were diagnosed with MDD and 242 (69.7%) with BD from the assessment performed in the clinical interview. In the MINI assessment, 97 individuals (28%) were classified with a diagnosis of MDD and 250 (72%) with BD. We found a sensitivity of 87.2% and specificity of 62.8% for the MINI in the diagnosis of BD and a Cohen's kappa between the MINI and the clinical interview of 0.51. The AUC was 0.75.

CONCLUSIONS

MINI has greater sensitivity (87.2%) for the diagnosis of BD and greater specificity (87.2%) for the diagnosis of MDD. In addition, the moderate Cohen kappa (0.51) and AUC (0.75) values between the MINI and the clinical interview are acceptable when considering most available psychiatric diagnostic tools.

Privacy-Preserving Federated Model Predicting Bipolar Transition in Patients With Depression: Prediction Model Development Study

BACKGROUND

Mood disorder has emerged as a serious concern for public health; in particular, bipolar disorder has a less favorable prognosis than depression. Although prompt recognition of depression conversion to bipolar disorder is needed, early prediction is challenging due to overlapping symptoms. Recently, there have been attempts to develop a prediction model by using federated learning. Federated learning in medical fields is a method for training multi-institutional machine learning models without patient-level data sharing.

OBJECTIVE

This study aims to develop and validate a federated, differentially private multi-institutional bipolar transition prediction model.

METHODS

This retrospective study enrolled patients diagnosed with the first depressive episode at 5 tertiary hospitals in South Korea. We developed models for predicting bipolar transition by using data from 17,631 patients in 4 institutions. Further, we used data from 4541 patients for external validation from 1 institution. We created standardized pipelines to extract large-scale clinical features from the 4 institutions without any code modification. Moreover, we performed feature selection in a federated environment for computational efficiency and applied differential privacy to gradient updates. Finally, we compared the federated and the 4 local models developed with each hospital's data on internal and external validation data sets.

RESULTS

In the internal data set, 279 out of 17,631 patients showed bipolar disorder transition. In the external data set, 39 out of 4541 patients showed bipolar disorder transition. The average performance of the federated model in the internal test (area under the curve [AUC] 0.726) and external validation (AUC 0.719) data sets was higher than that of the other locally developed models (AUC 0.642-0.707 and AUC 0.642-0.699, respectively). In the federated model, classifications were driven by several predictors such as the Charlson index (low scores were associated with bipolar transition, which may be due to younger age), severe depression, anxiolytics, young age, and visiting months (the bipolar transition was associated with seasonality, especially during the spring and summer months).

CONCLUSIONS

We developed and validated a differentially private federated model by using distributed multi-institutional psychiatric data with standardized pipelines in a real-world environment. The federated model performed better than models using local data only.

Comorbidities in Youth with Bipolar Disorder: Clinical Features and Pharmacological Management

BACKGROUND

Bipolar Disorder (BD) is a highly comorbid condition, and rates of cooccurring disorders are even higher in youth. Comorbid disorders strongly affect clinical presentation, natural course, prognosis, and treatment.

METHODS

This review focuses on the clinical and treatment implications of the comorbidity between BD and Attention-Deficit/Hyperactivity Disorder, disruptive behavior disorders (Oppositional Defiant Disorder and/or Conduct Disorder), alcohol and substance use disorders, Autism Spectrum Disorder, anxiety disorders, Obsessive-Compulsive Disorder, and eating disorders.

RESULTS

These associations define specific conditions which are not simply a sum of different clinical pictures, but occur as distinct and complex combinations with specific developmental pathways over time and selective therapeutic requirements. Pharmacological treatments can improve these clinical pictures by addressing the comorbid conditions, though the same treatments may also worsen BD by inducing manic or depressive switches.

CONCLUSION

The timely identification of BD comorbidities may have relevant clinical implications in terms of symptomatology, course, treatment and outcome. Specific studies addressing the pharmacological management of BD and comorbidities are still scarce, and information is particularly lacking in children and adolescents; for this reason, the present review also included studies conducted on adult samples. Developmentally-sensitive controlled clinical trials are thus warranted to improve the prognosis of these highly complex patients, requiring timely and finely personalized therapies.

Predictors of diagnostic transition from major depressive disorder to bipolar disorder: a retrospective observational network study

Many patients with bipolar disorder (BD) are initially misdiagnosed with major depressive disorder (MDD) and are treated with antidepressants, whose potential iatrogenic effects are widely discussed. It is unknown whether MDD is a comorbidity of BD or its earlier stage, and no consensus exists on individual conversion predictors, delaying BD's timely recognition and treatment. We aimed to build a predictive model of MDD to BD conversion and to validate it across a multi-national network of patient databases using the standardization afforded by the Observational Medical Outcomes Partnership (OMOP) common data model. Five "training" US databases were retrospectively analyzed: IBM MarketScan CCAE, MDCR, MDCD, Optum EHR, and Optum Claims. Cyclops regularized logistic regression models were developed on one-year MDD-BD conversion with all standard covariates from the HADES PatientLevelPrediction package. Time-to-conversion Kaplan-Meier analysis was performed up to a decade after MDD, stratified by model-estimated risk. External validation of the final prediction model was performed across 9 patient record databases within the Observational Health Data Sciences and Informatics (OHDSI) network internationally. The model's area under the curve (AUC) varied 0.633-0.745 (µ = 0.689) across the five US training databases. Nine variables predicted one-year MDD-BD transition. Factors that increased risk were: younger age, severe depression, psychosis, anxiety, substance misuse, self-harm thoughts/actions, and prior mental disorder. AUCs of the validation datasets ranged 0.570-0.785 (µ = 0.664). An assessment algorithm was built for MDD to BD conversion that allows distinguishing as much as 100-fold risk differences among patients and validates well across multiple international data sources.

Predictors of social anxiety disorder with major depressive episodes among Japanese university students

Background

Social anxiety disorder (SAD) develops in the early teens and is a common disorder among university students. Understanding the predictive factors of SAD comorbid with major depressive episode (MDE) is important for student mental health care. The aim of this study was to identify the personality traits that predict SAD with MDE by analyzing longitudinal data of Japanese university students.

Methods

In this retrospective study, Japanese university students who visited the health care center of Hokkaido University for the first time were divided into the following four groups: “Control” (n = 43), “MDE” (n = 16), “SAD” (n = 28), and “SAD with MDE” (n = 61) based on the Patient Health Questionnaire-9 (PHQ-9), the Liebowitz Social Anxiety Scale, and core anxiety symptoms for SAD in the Mini International Neuropsychiatric Interview during screening. Predictors for SAD with MDE were identified by a four-group comparison of the Temperament and Character Inventory and PHQ-9 data previously obtained at the enrollment using analysis of variance and post-hoc tests.

Results

Upon comparing the four groups using analysis of variance, there were significant differences in the baseline PHQ-9 summary score, Harm-Avoidance (HA), and Self-Directedness (SD). According to results of the post-hoc test, all three showed a significant difference between the “Control” and “SAD with MDE.” Furthermore, there was a significant difference in HA scores between “SAD” and “Control.” In all the groups, the mean time from enrollment to the first visit to the center was >2 years.

Conclusion

A higher HA score at baseline is a predictor of SAD with or without MDE. Higher PHQ-9 summary and lower SD scores at baseline are predictive factors of SAD with MDE.

Response rate and subjective memory after electroconvulsive therapy in depressive disorders with psychiatric comorbidity

BACKGROUND

Response rates after and tolerability of electroconvulsive therapy (ECT) in depressive disorders with psychiatric comorbidity are uncertain.

METHODS

Data on patients with a depressive episode and a first course of ECT were collected from the Swedish National Quality Register for ECT. Logistic regression analyses, adjusted for gender, age, and depressive episode severity, were used to compare patients with and without comorbidity. The clinical response assessment Clinical Global Impression - Improvement Scale was used in 4413 patients and the memory item from the Comprehensive Psychiatric Rating Scale was used for subjective memory impairment rating after ECT in 3497 patients.

RESULTS

In patients with depressive disorder and comorbid personality disorder or anxiety disorder, 62.7% and 73.5%, respectively, responded after ECT compared with 84.9% in patients without comorbidity [adjusted odds ratio (aOR) 0.43, 95% confidence interval (CI) 0.34-0.55, and aOR 0.61, 95% CI 0.51-0.73, respectively]. The proportion of responding patients with comorbid alcohol use disorder was 77.1%, which was not significantly different from that in patients without comorbidity (aOR 0.75, 95% CI 0.57-1.01). The impact of comorbidity decreased with higher age and depressive episode severity. Subjective ratings of memory impairment did not differ between patients with and without comorbidity.

LIMITATIONS

Observational non-validated clinical data.

CONCLUSIONS

The response rate after ECT in depression may be lower with concurrent personality disorder and anxiety disorder; however, the majority still respond to ECT. This implies that psychiatric comorbidity should not exclude patients from ECT.

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.

Altered sleep behavior in a genetic mouse model of impaired fear extinction

Sleep disturbances are a common complaint of anxiety patients and constitute a hallmark feature of post-traumatic stress disorder (PTSD). Emerging evidence suggests that poor sleep is not only a secondary symptom of anxiety- and trauma-related disorders but represents a risk factor in their development, for example by interfering with emotional memory processing. Fear extinction is a critical mechanism for the attenuation of fearful and traumatic memories and multiple studies suggest that healthy sleep is crucial for the formation of extinction memories. However, fear extinction is often impaired in anxiety- and trauma-related disorders-an endophenotype that is perfectly modelled in the 129S1/SvImJ inbred mouse strain. To investigate whether these mice exhibit altered sleep at baseline that could predispose them towards maladaptive fear processing, we compared their circadian sleep/wake patterns to those of typically extinction-competent C57BL/6 mice. We found significant differences regarding diurnal distribution of sleep and wakefulness, but also sleep architecture, spectral features and sleep spindle events. With regard to sleep disturbances reported by anxiety- and PTSD patients, our findings strengthen the 129S1/SvImJ mouse models' face validity and highlight it as a platform to investigate novel, sleep-focused diagnostic and therapeutic strategies. Whether the identified alterations causally contribute to its pathological anxiety/PTSD-like phenotype will, however, have to be addressed in future studies.

Therapeutic Potential of Vortioxetine for Anxious Depression: A Post Hoc Analysis of Data from a Clinical Trial Conducted in Japan

AIM

Antidepressants, including selective serotonin reuptake inhibitors, often elicit a poor response in patients with major depressive disorder (MDD) with significant anxiety symptoms. This study investigated the effects of the multimodal antidepressant vortioxetine in patients with MDD and associated anxiety.

METHODS

This was a post hoc analysis of data from an 8-week, randomized, double-blind, placebo-controlled, Phase 3 study of vortioxetine (10 mg or 20 mg) in Japanese patients aged 20-75 years with recurrent MDD and a Montgomery-Åsberg Depression Rating Scale (MADRS) score of at least 26. Changes from baseline to week 8 in MADRS total score and Hamilton Depression Rating Scale (HAM-D) anxiety/somatization factor score were assessed in patients with anxious depression (HAM-D anxiety/somatization factor score ≥7) and without anxious depression.

RESULTS

Data were available for 489 patients. In patients with anxious depression, the least-squares (LS) mean difference (95% confidence interval [CI]) versus placebo in change in MADRS total score was -3.44 (-6.10, -0.77) for vortioxetine 10 mg and -4.51 (-7.15, -1.87) for vortioxetine 20 mg. In patients with non-anxious depression, the LS mean difference (95% CI) versus placebo was -1.81 (-4.71, 1.09) and -1.05 (-4.00, 1.90) for vortioxetine 10 mg and 20 mg, respectively. Changes from baseline in HAM-D anxiety/somatization factor score were greater in patients treated with vortioxetine 10 mg or 20 mg than in those treated with placebo.

CONCLUSION

Vortioxetine may be effective for patients with anxiety symptoms in MDD. Further research is warranted to investigate these effects in a real-world clinical setting.

CLINICAL TRIALS REGISTRATION

ClinicalTrials.gov identifier for primary study: NCT02389816.