Comparative efficacy and tolerability of pharmacological interventions for acute bipolar depression in adults: a systematic review and network meta-analysis

Potential causal association between the oral microbiome and bipolar disorder

BACKGROUND

The oral microbiome can influence the growth, development, and regulation of the nervous system through various pathways; however, its relationship with bipolar disorder (BD) remains ambiguous. This study aims to investigate the causal relationship between the oral microbiome and BD through Mendelian randomization (MR) analysis.

METHODS

Data regarding single nucleotide polymorphisms (SNPs) in GWAS summary statistics for oral microbiota and BD were obtained from two studies: one reported the association between the oral microbiome and the human genome, encompassing both the dorsum of the tongue and saliva microbiomes. The other study investigated the association between BD and the human genome, categorizing BD into BD I and BD II for separate analyses. Thus, three data components were utilized: BD, BD I, and BD II. In this study, GWAS data for saliva and dorsum of the tongue microbiomes were analyzed separately for BD, BD I, and BD II. The inverse variance weighted (IVW) method was used to assess the causal relationship between the oral microbiome and BD. Analyses were conducted only when the number of instrumental variable SNPs was no less than two. The MR-Egger regression and IVW methods were employed to evaluate heterogeneity, whereas the MR-Egger intercept test was utilized to assess pleiotropy. For MR results exhibiting heterogeneity or pleiotropy, sensitivity analyses were performed using the weighted median, simple mode, weighted mode, MR-Egger test, and leave-one-out methods. Furthermore, funnel plots were employed to evaluate publication bias. Reverse MR analysis was also performed to investigate the potential bidirectional interactions between BD and the oral microbiota.

RESULTS

A causal relationship exists between the oral microbiome and BD. The effects of the microbiome from different regions of the oral cavity on BD are variable, with a more pronounced impact noted on BD I. This study identified two overlapping causal relationships shared between BD I and BD II, both exhibiting the same directional influence: ①Salivary s Prevotella aurantiaca SGB 2854 (Taxonomy ID: 596085, species); ② Tongue s Prevotella sp000467895 SGB 1817 (Taxonomy ID: 838, genus). Additionally, there are two overlapping bacteria with opposing directional effects: ① Salivary g Eggerthia (Taxonomy ID: 1279384, genus); ② Salivary s unclassified SGB 2636. Three differential bacteria that exclusively regulate one subtype were identified: ① Salivary s Lachnoanaerobaculum sp000296385 SGB 3537 (Taxonomy ID: 1164882, genus); ② Tongue s unclassified SGB 689; ③ Tongue s unclassified SGB 572. Among these, the genus g Eggerthia in saliva inhibits BD I while promoting BD II; conversely, salivary s unclassified SGB 2636 inhibits BD II while promoting BD I. The analysis of tongue s unclassified SGB 489 and s unclassified SGB 1215 demonstrated pleiotropy without causal significance. The reverse MR analysis identified that BD I may influence four microbial species, including f Leptotrichiaceae (Taxonomy ID: 1129771, family), f Streptococcaceae (Taxonomy ID: 1300, family), s unclassified SGB 1210, and s unclassified SGB 1950. There may be a bidirectional causal relationship between s unclassified SGB 1950 and BD I. Additionally, Reverse Mendel suggested that there was no significant causal relationship between BD and salivary and dorsal tongue microbes.

CONCLUSION

Our Mendelian randomization results indicate a causal relationship between the oral microbiome and the development of BD. However, the microbial profiles associated with the different subtypes, BD I and BD II, differ significantly; even within the same genus, the direction of influence on BD I and BD II varies, suggesting that the underlying mechanisms for the development of BD I and BD II may differ substantially.

Bipolar II disorder: a state-of-the-art review

Bipolar II disorder (BD-II) is currently identified by both the DSM-5 and ICD-11 as a distinct subtype of bipolar disorder, defined by at least one depressive episode and at least one hypomanic episode, with no history of mania. Despite its prevalence and impact, the literature on BD-II remains relatively sparse. This paper provides a comprehensive overview of the available research and current debate on the disorder, including its diagnostic criteria, clinical presentations, comorbidities, epidemiology, risk factors, and treatment strategies. Patients with BD-II often present with recurrent depressive episodes, which outnumber hypomanic episodes by a ratio of 39:1. The condition is therefore often misdiagnosed as major depressive disorder and treated with antidepressant monotherapy, which may worsen its prognosis. The recognition of BD-II is further complicated by the overlap of its symptoms with other disorders, in particular borderline personality disorder. Although BD-II is often perceived as a less severe form of bipolar disorder, evidence suggests significant functional and cognitive impairment, accompanied by an elevated risk of suicidal behavior, including a rate of completed suicide at least equivalent to that observed in bipolar I disorder (BD-I). Psychiatric comorbidities, in particular anxiety and substance use disorders, are common. The disorder is associated with a high prevalence of numerous physical comorbidities, with a particularly high risk of comorbid cardiovascular diseases. Various genetic and environmental risk factors have been identified. Inflammation, circadian rhythm dysregulation and mitochondrial dysfunction are being studied as potential pathophysiological mechanisms. Current treatment guidelines, often extrapolated from BD-I and depression research, may not fully address the unique aspects of BD-II. Nevertheless, substantial evidence supports the value of some pharmacological treatments - primarily mood stabilizers and atypical antipsychotics - augmented by psychoeducation, cognitive behavioral or interpersonal and social rhythm therapy, and lifestyle interventions. Further research on BD-II should be a priority, in order to refine diagnostic criteria, identify potentially modifiable risk factors, and develop targeted interventions.

Positive predictive value of an ICD-10-based operationalization of bipolar II disorder for register-based research

OBJECTIVE

Bipolar II disorder (BD-II) is a subtype of bipolar disorder characterized by recurrent episodes of depression and hypomania, without full manic episodes. Unfortunately, BD-II is not included as a diagnostic code in the ICD-10, which means that the Danish Psychiatric Central Research Register (DPCRR), where diagnoses are recorded according to the ICD-10, cannot be used to study BD-II without further ado. The aim of this study was to investigate whether BD-II can be operationalized retrospectively based on ICD-10 diagnoses with sufficient positive predictive value to allow for studies of BD-II using data from the DPCRR.

MATERIALS AND METHODS

We operationalized BD-II a priori based on a set of criteria (e.g. a minimum of two mood episodes labelled with ICD-10 diagnostic codes of hypomania or bipolar depression - at least one being bipolar depression - and no manic/mixed episodes). The positive predictive value of this operationalization was then examined by reviewing (two independent reviewers) the electronic health records (EHRs) of 147 patients from the Psychiatric Services of the Central Denmark Region matching the ICD-10-based operationalization of BD-II.

RESULTS

For 107 of the 147 patients, the EHR review confirmed that BD-II was the most likely diagnosis, resulting in a positive predictive value of 73% for the ICD-10-based operationalization of BD-II.

CONCLUSIONS

This study suggests that, while not perfect in terms of positive predictive value, the proposed ICD-10-based operationalization will allow for studies of 'predominantly BD-II' using data from the DPCRR with sufficient validity.

Comparative efficacy and safety of alternatives to sodium valproate in the management of bipolar affective disorder in people of child-bearing age: a narrative review by the European Society of Clinical Pharmacy's mental health specialist interest group

BACKGROUND

The European Medicines Agency has recommended a series of restrictions on the use of sodium valproate (valproate) following research linking its exposure in utero to adverse congenital and neurodevelopmental effects in offspring. Recent research has highlighted a potential increased risk of neurodevelopmental disorders in children born to males taking valproate prior to conception. Clinicians and patients require guidance regarding suitable alternatives.

AIM

To provide an overview of suitable alternatives to valproate in the management of bipolar disorder.

METHOD

A narrative review was conducted. Only medications with an established evidence base in managing different phases of bipolar disorder and endorsed within clinical practice guidelines were considered. Eligible guidelines included those (i) where recommendations were informed by a formal guideline development process and (ii) published in English within the last 15 years. REPROTOX® was chosen as the primary information source regarding reproductive safety of alternative medications.

RESULTS

Of all second-generation antipsychotics, quetiapine should be considered a first-line alternative to valproate. Lithium has been associated with an increased risk of cardiac malformations, especially Ebstein anomaly, following in utero exposure. However, given its robust efficacy as an antimanic agent and the absolute risk of cardiac abnormalities being low, it's use can still be considered in individuals of child-bearing potential with appropriate monitoring. Carbamazepine treatment should be avoided due to concerns for teratogenicity. Although considered safe in pregnancy, lamotrigine is largely effective at preventing relapse of bipolar depression. Thus, lamotrigine offers limited clinical utility as an alternative to valproate.

CONCLUSION

Specific recommendations are made regarding alternatives to valproate in managing bipolar disorder.

Lithium and lamotrigine for the treatment of bipolar II disorder - a systematic review and meta-analysis of randomized trials

OBJECTIVES

This systematic review and meta-analysis aimed to synthesize the evidence from randomized trials of lithium, lamotrigine, and placebo for the treatment of bipolar II disorder (BDII) in terms of bipolar II depression, hypomania, and maintenance treatment.

METHODS

A literature search was performed 20th November 2024 across PubMed, Embase and PsycINFO, and grey literature for studies of lithium, lamotrigine, and placebo in adults with BDII, across illness phases. Primary outcomes were efficacy and tolerability. We conducted random-effects pair-wise meta-analysis to provide a summary measure of effect, assessed the risk of bias, and assessed the certainty of the evidence using the GRADE framework.

RESULTS

Our search yielded 2326 records, including 10 randomized trials comprising 645 patients with BDII. The evidence was very uncertain regarding lithium's effect on the risk of new affective episodes, regardless of polarity, compared with placebo (RR 0.86, 95 % CI [0.66, 1.11], I2 = 0 %, four studies, very low certainty evidence). A quantitative synthesis could not be conducted to compare lamotrigine and placebo. The evidence was very uncertain regarding the effect of lithium on depression severity compared with lamotrigine (mean HAMD17 difference: 1.27, 95 % CI [-3.84, 6.38], I2 = 0 %, two studies, very low certainty evidence). The overall risk of bias was of 'some concern' for 84 % of outcomes assessed. For all outcomes, the certainty of the evidence was graded 'very low'.

CONCLUSION

The evidence for lithium and lamotrigine in treating BDII is scarce, and the certainty of the evidence is very low. Large, well-conducted RCTs of patients with BDII are needed.

Prescription sequences in bipolar disorder - A nationwide Danish register-based study of 19,927 individuals followed for 10 years

Evidence-based use of pharmacological interventions in bipolar disorder is of paramount clinical importance. We aimed to uncover precription sequences in a large cohort of patients from the first diagnosis of bipolar disorder. Using Danish nationwide registers, we identified individuals with a first-time hospital diagnosis of bipolar disorder between January 1st, 2001, and December 31st, 2016. Redemeed prescriptions of litihum, anticonvulsants, antipsychotics, and antidepressants from five years before to five years after diagnosis were retreived. The data were analysed with descriptive statistics, sunburst plots, and Cox proportioal hazard models. The full study population consisted of 19,927 individuals. Before diagnosis, antidepressants were the predominantly prescribed group (46.9 % as first drug). After diagnosis, a major trend towards mood stabilising strategies was observed. although only 18.7 % received lithiumas first prescription. In analyses stratified for illness phase, lithium was more frequently prescribed as first drug after depression than after hypomania/mania, in which antidepressants were used as first drug in 10-15 % of the cases. Treatment sequences were highly heterogeneous (2,459 distinct sequences for the 19,927 individuals under investigation). Lithium appeared to carry the overall highest risk of treatment shift. We conclude that in accordance with national and international guidelines, a diagnosis of bipolar disorder leads to a relevant change of treatment strategy towards mood stabilising drugs. However, lithium continues to be underused;antidepressants probably used too frequently, and treatment sequences are highly heterogeneous and not adjusted according to illness phase. These results point to a potential for optimising the real-world pharmacological management of bipolar disorder.

Antidepressants in the treatment of bipolar depression: commentary

BACKGROUND

Depression is a therapeutic challenge with bipolar disorder (BD) patients and remains a major contributor to disability, comorbidity, and premature mortality. The efficacy and safety of antidepressants (ADs) for this indication remain particularly controversial, and optimally safe and effective treatment of bipolar (BP) depression remains uncertain.

METHOD

We summarized selected research findings on the treatment of depression in BD aimed at supporting practical guidelines for clinical treatment involving ADs.

RESULTS

Growing research evidence indicates that ADs are probably effective in BP depression and possibly not less than in major depressive disorder. Tolerability of antidepressant (AD) treatment is greater with type II BD (BD-2) than with type I (BD-1), particularly when ADs are combined with a mood stabilizer or antipsychotic. For BP depression, preferred ADs are serotonin-reuptake inhibitors and bupropion given in moderate doses for limited times.

CONCLUSIONS

Optimal treatment of depression requires further investigation, particularly for long-term maintenance. Nevertheless, treatment for acute depressive episodes can usefully and safely include some ADs in moderate doses for limited duration, best combined with lithium, some anticonvulsants, or certain atypical antipsychotics, and more safely with BD-2 than BD-1 with close clinical supervision.

Real-world effectiveness of pharmacological maintenance treatment of bipolar depression: a within-subject analysis in a Swedish nationwide cohort

BACKGROUND

Long-term add-on antidepressant use for bipolar depression remains controversial. This study aimed to investigate primarily the association between psychopharmacological treatments and hospitalisation (ie, hospital admission) for bipolar depression, and secondarily the association between psychopharmacological treatments and hospitalisation for bipolar mania and somatic reasons in a registry-based national Swedish cohort.

METHODS

In this within-subject analysis, people diagnosed with bipolar disorder were identified from Swedish nationwide registers of inpatient and specialised outpatient care, sickness absence, and disability pension between Jan 1, 2006, and Dec 31, 2021. Data for hospitalisations, and antidepressant, antipsychotic, and mood stabiliser medication use were also retrieved from national databases. Treatment periods were modelled using the PRE2DUP method. Data were analysed with a within-individual design with stratified Cox Regression models, to eliminate selection bias when calculating adjusted hazard ratios (aHRs) and 95% CIs. The main outcome was hospitalisation due to depression and secondary outcomes were mania-related and somatic hospitalisations to address the risk-benefit ratio of antidepressant treatment. The reference was non-use of antidepressant, antipsychotic, and mood stabiliser medications. We also did head-to-head comparisons (ie, comparing different drug use periods within the same individual against each other) between medications to obtain results on comparative effectiveness while minimising confounding by indication. Ethnicity data were not available. People with related lived experience were involved in the research and writing process.

FINDINGS

The study cohort included 105 495 individuals (mean age 44·2 years, SD 18·8; 65 607 [62·2%] women and 39 888 [37·8%] men). In medication class-based analyses, a higher risk of depression-related hospitalisation was associated with the use of antidepressant only (aHR 1·25, 95% CI 1·16-1·34), antipsychotic only (1·39, 1·24-1·55), antidepressant-antipsychotic combination (1·28, 1·18-1·39), and antipsychotic-mood stabiliser combination treatment (1·13, 1·03-1·24). By contrast, use of mood stabilisers only (0·89, 0·81-0·98) was associated with lower risk. For specific monotherapies, only lithium was associated with lower depression-related hospitalisation risk (0·75, 0·67-0·85). No specific antidepressant monotherapy was associated with reduced depression-related hospitalisation, while several antidepressants and antipsychotics were related to an increased risk. In head-to-head comparisons, lithium monotherapy was associated with a superior outcome compared with antidepressant monotherapy (0·59, 0·51-0·68), antipsychotic monotherapy (0·54, 0·44-0·66), lamotrigine monotherapy (0·69, 0·53-0·91), and quetiapine monotherapy (0·54, 0·41-0·71). Lithium was associated with the lowest risk of somatic hospitalisation (0·86, 0·80-0·93) when compared with non-use of antidepressants, antipsychotics, and mood stabilisers. Finally, antidepressant-only treatment (1·22, 1·03-1·44) was associated with increased risk of mania-related hospitalisation and other monotherapies and combinations were associated with a lower risk.

INTERPRETATION

Since medications are typically started when depressive symptoms re-emerge, all treatments might appear less effective than they actually are when the reference is non-use of medication. Lithium was the only specific monotherapy with significantly reduced risk of depression-related hospitalisations when compared with non-use of antidepressants, antipsychotics, and mood stabilisers, and with more than 30% lower risk than any antidepressant, any antipsychotic, quetiapine, or lamotrigine monotherapy in the head-to-head analysis. Lithium was also associated with the lowest risk of somatic hospitalisation. Our findings supported the use of lithium as the mainstay of treatment in bipolar disorder.

FUNDING

The Swedish Research Council for Health, Working Life and Welfare, FORTE (grant number 2021-01079).

Accelerated intermittent theta burst stimulation for pharmacological treatment-resistant bipolar depression: Protocol for double-blind, randomized, sham-controlled trial

Background

With 30%-50% of people with bipolar depression (BDep) not responding to multiple pharmacological treatments, alternative therapies are needed. Accelerated intermittent theta burst stimulation (aiTBS) over the left dorsolateral prefrontal cortex (L-DLPFC) has been employed for individuals with pharmacological treatment-resistant major depressive disorder (TR-MDD). Imaging studies have revealed reduced regional activity of the L-DLPFC for both TR-MDD and pharmacological treatment-resistant BDep (TR-BDep), suggesting that aiTBS over the L-DLPFC may be beneficial for people with TR-BDep.

Methods

A 6-week, double-blind, sham-controlled, randomized trial will be conducted to compare the efficacy and safety of aiTBS to the L-DLPFC in people with TR-BDep (jRCTs042240019). Fifty iTBS sessions (1800 pulses/session) will be delivered in 10 daily sessions over 5 consecutive days at 90% resting motor threshold. This aiTBS protocol is termed as Fujita Neuromodulation Therapy for Bipolar Depression (FNT-BD). Twenty-two participants (both sexes, aged 18-64 years) with TR-BDep (DSM-5-TR, Type I) will be recruited. The response rate at any given week of follow-up will be the primary efficacy outcome, defined as a reduction of ≥50% in the Montgomery Åsberg Depression Rating Scale (MADRS) score. Other outcomes will include MADRS score changes, remission rate (10 ≥ MADRS score), Clinical Global Impression-Improvement score, Clinical Global Impression-Severity score, discontinuation rate, and incidence of individual adverse events.

Results

We anticipate that individuals who receive the aiTBS treatment show significant improvement in depressing symptoms compared to those receiving sham treatment.

Conclusions

This study will provide valuable evidence for both patients with TR-BDep and clinicians.

Predicting remission after acute phase pharmacotherapy in patients with bipolar I depression: A machine learning approach with cross-trial and cross-drug replication

OBJECTIVES

Interpatient variability in bipolar I depression (BP-D) symptoms challenges the ability to predict pharmacotherapeutic outcomes. A machine learning workflow was developed to predict remission after 8 weeks of pharmacotherapy (total score of ≤8 on the Montgomery Åsberg Depression Rating Scale [MADRS]).

METHODS

Supervised machine learning models were trained on data from BP-D patients treated with olanzapine (N = 168) and were externally validated on patients treated with olanzapine/fluoxetine combination (OFC; N = 131) and lamotrigine (LTG; N = 126). Top predictors were used to develop a prognosis rule informing how many symptoms should change and by how much within 4 weeks to increase the odds of achieving remission.

RESULTS

An AUC of 0.76 (NIR:0.59; p = 0.17) was established to predict remission in olanzapine-treated subjects. These trained models achieved AUCs of 0.70 with OFC (NIR:0.52; p < 0.03) and 0.73 with LTG (NIR:0.52; p < 0.003), demonstrating external replication of prediction performance. Week-4 changes in four MADRS symptoms (reported sadness, reduced sleep, reduced appetite, and concentration difficulties) were top predictors of remission. Across all pharmacotherapies, three or more of these symptoms needed to improve by ≥2 points at Week-4 to have a 65% chance of achieving remission at 8 weeks (OR: 3.74, 95% CI: 2.45-5.76; p < 9.3E-11).

CONCLUSION

Machine learning strategies achieved cross-trial and cross-drug replication in predicting remission after 8 weeks of pharmacotherapy for BP-D. Interpretable prognoses rules required only a limited number of depressive symptoms, providing a promising foundation for developing simple quantitative decision aids that may, in the future, serve as companions to clinical judgment at the point of care.

Treatment Options for Psychotic Depression in Adolescents: A Comprehensive Review

Despite being associated with increased illness severity and suicidality compared to non-psychotic depression, psychotic depression remains under-researched, particularly in adolescents. With this article, we aim to review treatment options for psychotic depression in adolescents. We performed a multi-step narrative review, first identifying studies on adolescents with psychotic depression evaluating any intervention and with any methodological design. We subsequently complemented our search with systematic reviews and meta-analysis evaluating treatment interventions in adults with psychotic depression and adolescents with bipolar depression. Finally, we reviewed clinical guidelines to complement the evidence found and provided recommendations for clinical practice. Based on the findings, we recommend a stepped approach to the treatment of psychotic depression in adolescents. For mild cases with predominance of depressive symptoms, antidepressant monotherapy with a serotonin selective reuptake inhibitor (eg fluoxetine, sertraline or citalopram) could be trialed first. In severe presentations, antidepressant-antipsychotic combination would be the treatment of choice. The antidepressant-antipsychotic combination has been recommended by several clinical guidelines, systematic reviews and meta-analysis in this population, adolescents with bipolar depression and adults with psychotic depression. Another combination of antidepressant-antipsychotic with evidence from a case report is the fluoxetine-quetiapine combination. For those adolescents not responding to the antidepressant-antipsychotic combination, or those requiring a rapid response or unable to take medication, electroconvulsive therapy could be considered. Psychological interventions (eg cognitive behavioral therapy, family therapy or interpersonal psychotherapy training for adolescents) are recommended by clinical guidelines but require further research. Overall, literature on the field is scarce and limited, with most evidence coming from adults and other populations. Further research into effective and safe treatment of psychotic depression in adolescent population is needed.

Bipolar disorders: an update on critical aspects

Bipolar disorders are chronic psychiatric conditions characterized by recurrent episodes of mania and depression. Affecting over 1% of the global population, these disorders contribute significantly to disability and mortality, often due to suicide and cardiovascular disease. Diagnostic challenges arise from symptom overlap with unipolar depression, frequently leading to delays. Bipolar disorders are driven by complex genetic, neurobiological, and environmental factors and are commonly accompanied by psychiatric and medical comorbidities, further complicating diagnosis and treatment. Standard management strategies include mood stabilizers, antipsychotics, and selective use of antidepressants, complemented by psychosocial interventions like cognitive-behavioral therapy and psychoeducation, which are vital for relapse prevention. Despite recent advancements, the management of bipolar disorders remains challenging, constrained by clinical variability, an absence of specific biomarkers, and differences in approved treatments and treatment guidelines across regions. Emerging research underscores the potential of precision psychiatry and digital health tools to enhance diagnosis and treatment. Nonetheless, critical gaps persist, particularly in implementing equitable care worldwide. This review offers a comprehensive update on bipolar disorders, examining clinical presentation, early diagnosis, pathogenesis, therapeutic strategies, and future perspectives to guide clinicians and researchers in addressing these ongoing challenges in research and clinical practice.

Funding

None.

The efficacy of valproate in acute mania, bipolar depression and maintenance therapy for bipolar disorder: an overview of systematic reviews with meta-analyses

OBJECTIVE

This study aims to conduct an overview on the comparative efficacy of valproate in acute mania, bipolar depression and maintenance treatment of bipolar disorder (BD).

METHOD

We performed an overview of systematic reviews with meta-analyses of randomised controlled trials (RCTs), registered in PROSPERO (CRD42024497749). We searched Medline and Cochrane Database of Systematic Reviews. Summary measures comparing valproate with placebo or other active drugs were described.

RESULTS

We included 26 systematic reviews. For acute mania (31 RCTs, n=4376), valproate showed a significantly better response than placebo in two high-quality systematic reviews (RR=1.42; 95% CI: 1.19 to 1.71) (OR=2.05; 95% CI: 1.32 to 3.20). No significant differences with lithium were found in most outcomes. Valproate had similar efficacy to quetiapine and lower efficacy compared with risperidone, with conflicting results when compared with olanzapine. In bipolar depression (7 RCTs, n=399), valproate was more effective than placebo in reducing depressive symptoms (OR=2.80; 95% CI: 1.26 to 6.18) and achieving remission (OR=2.4; 95% CI: 1.09 to 5.29) (OR=2.15; 95% CI: 0.82 to 5.6), considering the results of three high-quality systematic reviews. No significant difference was observed with lithium, lurasidone, quetiapine or olanzapine plus fluoxetine, but valproate showed superior efficacy to aripiprazole, ziprasidone and agomelatine. In maintenance treatment (11 RCTs, n=1063), valproate was superior to placebo in preventing relapse of any mood episode in two high-quality systematic reviews (RR=0.63; 95% CI: 0.48 to 0.83) (RR=0.63; 95% CI: 0.47 to 0.83). No significant difference was found with lithium, olanzapine or lamotrigine.

CONCLUSION

This overview highlights favourable results for valproate compared with placebo in all phases of BD, as well as presenting specific results in comparison with other active drugs. However, these results must be interpreted considering the methodological limitations of our study.

Prioritization of Psychopathological Symptoms and Clinical Characterization in Psychiatric Diagnoses: A Narrative Review

Importance

Psychiatry mainly deals with conditions that are mediated by brain function but are not directly attributable to specific brain abnormalities. Given the lack of concrete biological markers, such as laboratory tests or imaging results, the development of diagnostic systems is difficult.

Observations

This narrative review evaluated 9 diagnostic approaches. The validity of the DSM and the International Classification of Disorders (ICD) is limited. The Research Domain Criteria is a research framework, not a diagnostic system. The clinical utility of the quantitatively derived, dimensional Hierarchical Taxonomy of Psychopathology is questionable. The Psychodynamic Diagnostic Manual Version 2 follows psychoanalytic theory and focuses on personality. Unlike the personality assessments in ICD-11 or DSM-5's alternative model, based on pathological extremes of the big 5 traits (extraversion, agreeableness, openness, conscientiousness, and neuroticism), it lacks foundation in empirical evidence. Network analytic approaches are intriguing, but their complexity makes them difficult to implement. Staging would be easier if individually predictive biological markers were available. The problem with all these new approaches is that they abstract patient experiences into higher-order constructs, potentially obscuring individual symptoms so much that they no longer reflect patients' actual problems.

Conclusions and Relevance

ICD and DSM diagnoses can be questioned, but the reality of psychopathological symptoms, such as hallucinations, depression, anxiety, compulsions, and the suffering stemming from them, cannot. Therefore, it may be advisable to primarily describe patients according to the psychopathological symptoms they present, and any resulting personal syndromes, embedded in a framework of contextual clinical characterization including personality assessment and staging. The DSM and ICD are necessary for reimbursement, but they should be simplified and merged. A primarily psychopathological symptoms-based, clinical characterization approach would be multidimensional and clinically useful, because it would lead to problem-oriented treatment and support transdiagnostic research. It should be based on a universally used instrument to assess psychopathology and structured clinical characterization.

Efficacy and safety of lumateperone for bipolar depression and schizophrenia: a systematic review and meta-analysis

This study aimed to evaluate the efficacy and safety of lumateperone in treating bipolar disorder and schizophrenia. A comprehensive literature search was conducted across multiple databases and websites from inception to July 16, 2024, to identify both published and unpublished randomized controlled trials (RCTs). Meta-analyses were performed using random-effects or fixed-effects models depending on statistical heterogeneity. Relative risks (RRs) or standardized mean differences (SMDs) with 95% confidence intervals (CIs) were used to summarize the effects. Out of 931 records screened, 7 RCTs (four focusing on bipolar depression and 3 on schizophrenia) were eligible for inclusion. Lumateperone was efficacious in reducing depressive symptoms in bipolar depression (SMDs = -0.36, 95% CI: -.59 to -.13). In treating schizophrenia, lumateperone exhibited a lower combined SMD of -0.14 (95% CI: -.27 to 0, P = .051, I² = 49.6%), showing no significant difference from the placebo group, although the P-value approached significance. The lumateperone group showed significantly higher response rates compared with placebo in both bipolar depression (RRs = 1.27, 95% CI = 1.07 to 1.51) and schizophrenia (RRs = 1.44, 95% CI = 1.12 to 1.86). Common treatment-emergent adverse events included somnolence, dry mouth, dizziness, nausea, and headache (RRs = 1.30 to 3.29). Importantly, lumateperone did not significantly increase extrapyramidal symptoms (EPS, RRs = 1.46, 95% CI = .84 to 2.53). Lumateperone is effective in treating bipolar depression but does not significantly reduce symptom severity in schizophrenia. It has a favorable safety and tolerability profile. However, caution is warranted in interpreting these findings due to the limited number of studies included.

Antipsychotic Drugs: A Concise Review of History, Classification, Indications, Mechanism, Efficacy, Side Effects, Dosing, and Clinical Application

The introduction of the first antipsychotic drug, chlorpromazine, was a milestone for psychiatry. The authors review the history, classification, indications, mechanism, efficacy, side effects, dosing, drug initiation, switching, and other practical issues and questions related to antipsychotics. Classifications such as first-generation/typical versus second-generation/atypical antipsychotics are neither valid nor useful; these agents should be described according to the Neuroscience-based Nomenclature (NbN). Antipsychotic drugs are not specific for treating schizophrenia. They reduce psychosis regardless of the underlying diagnosis, and they go beyond nonspecific sedation. All currently available antipsychotic drugs are dopamine blockers or dopamine partial agonists. In schizophrenia, effect sizes for relapse prevention are larger than for acute treatment. A major unresolved problem is the implausible increase in placebo response in antipsychotic drug trials over the decades. Differences in side effects, which can be objectively measured, such as weight gain, are less equivocal than differences in rating-scale-measured (subjective) efficacy. The criteria for choosing among antipsychotics are mainly pragmatic and include factors such as available formulations, metabolism, half-life, efficacy, and side effects in previous illness episodes. Plasma levels help to detect nonadherence, and once-daily dosing at night (which is possible with many antipsychotics) and long-acting injectable formulations are useful when adherence is a problem. Dose-response curves for both acute treatment and relapse prevention follow a hyperbolic pattern, with maximally efficacious average dosages for schizophrenia of around 5 mg/day risperidone equivalents. Computer apps facilitating the choice between drugs are available. Future drug development should include pharmacogenetics and focus on drugs for specific aspects of psychosis.

Cariprazine in the acute treatment of unipolar and bipolar depression: A systematic review and meta-analysis

BACKGROUND

Cariprazine has emerged as a promising augmenting treatment agent for unipolar depression and as a monotherapy option for bipolar depression. We evaluated cariprazine's efficacy in treating acute major depressive episodes in individuals with major depressive disorder (MDD) or bipolar disorder.

METHODS

A systematic review was conducted on MEDLINE, Embase, PsycINFO, Scopus and Web of Science, ClinicalTrials.gov and ScanMedicine. Study quality was assessed using the RoB 2 tool. Pairwise and dose-response meta-analyses were conducted with RStudio. Evidence quality was assessed with GRADE.

RESULTS

Nine RCTs meeting inclusion criteria encompassed 4889 participants. Cariprazine, compared to placebo, significantly reduced the MADRS score (MD = -1.49, 95 % CI: -2.22 to -0.76) and demonstrated significantly higher response (RR = 1.21, 95 % CI: 1.12 to 1.30) and remission (RR = 1.19, 95 % CI: 1.06 to 1.34) rates. Subgroup analysis unveiled statistically significant reductions in MADRS score in MDD (MD = -1.15, 95 % CI: -2.04 to -0.26) and bipolar I disorder (BDI) (MD = -2.53, 95 % CI: -3.61 to -1.45), higher response rates for both MDD (RR = 1.19, 95 % CI: 1.08 to 1.31) and BDI (RR = 1.27, 95 % CI: 1.10 to 1.46), and higher remission rates only for BDI (RR = 1.41, 95 % CI: 1.24 to 1.60). A higher rate of treatment discontinuation due to adverse events was observed.

LIMITATIONS

Reliance solely on RCTs limits generalisability; strict criteria might not reflect real-world diversity.

CONCLUSIONS

Cariprazine demonstrates efficacy in treating major depressive episodes, although variations exist between MDD and BDI and tolerability may be an issue.

Prediction of medical admissions after psychiatric inpatient hospitalization in bipolar disorder: a retrospective cohort study

Objective

Bipolar Disorder (BD) is a severe mental illness associated with high rates of general medical comorbidity, reduced life expectancy, and premature mortality. Although BD has been associated with high medical hospitalization, the factors that contribute to this risk remain largely unexplored. We used baseline medical and psychiatric records to develop a supervised machine learning model to predict general medical admissions after discharge from psychiatric hospitalization.

Methods

In this retrospective three-year cohort study of 71 patients diagnosed with BD (mean age=52.19 years, females=56.33%), lasso regression models combining medical and psychiatric records, as well as those using them separately, were fitted and their predictive power was estimated using a leave-one-out cross-validation procedure.

Results

The proportion of medical admissions in patients with BD was higher compared with age- and sex-matched hospitalizations in the same region (25.4% vs. 8.48%). The lasso model fairly accurately predicted the outcome (area under the curve [AUC]=69.5%, 95%C.I.=55-84.1; sensitivity=61.1%, specificity=75.5%, balanced accuracy=68.3%). Notably, pre-existing cardiovascular, neurological, or osteomuscular diseases collectively accounted for more than 90% of the influence on the model. The accuracy of the model based on medical records was slightly inferior (AUC=68.7%, 95%C.I. = 54.6-82.9), while that of the model based on psychiatric records only was below chance (AUC=61.8%, 95%C.I.=46.2-77.4).

Conclusion

Our findings support the need to monitor medical comorbidities during clinical decision-making to tailor and implement effective preventive measures in people with BD. Further research with larger sample sizes and prospective cohorts is warranted to replicate these findings and validate the predictive model.

Discontinuation Rate of Lurasidone and Quetiapine Extended Release in Bipolar Depression

INTRODUCTION

Lurasidone (LUR) was compared with quetiapine extended release (QUE-ER) regarding 1-year discontinuation in patients with bipolar depression (n=317).

METHODS

This is a retrospective cohort study.

RESULTS

Although the time to all-cause discontinuation was estimated using the Kaplan-Meier survival curve with log-rank tests to compare treatment groups, no difference was found (p=0.317). The Cox proportional hazard model revealed that only the presence of adverse events (AEs) is associated with increased treatment discontinuation (p<0.0001). The most common AEs were akathisia for LUR (17.7%) and somnolence for QUE-ER (34.7%). In other Cox models divided by LUR or QUE-ER, the presence of akathisia or somnolence was associated with increased LUR (p=0.0205) or QUE-ER (p<0.0001) discontinuation, respectively.

DISCUSSION

The acceptability of both antipsychotics to bipolar depression in clinical practice may be similar. However, specific AEs for each antipsychotic (LUR: akathisia and QUE-ER: somnolence) were associated with high treatment discontinuation.

miR-143-3p modulates depressive-like behaviors via Lasp1 in the mouse ventral hippocampus

Depression is a prevalent and intricate mental disorder. The involvement of small RNA molecules, such as microRNAs in the pathogenesis and neuronal mechanisms underlying the depression have been documented. Previous studies have demonstrated the involvement of microRNA-143-3p (miR-143-3p) in the process of fear memory and pathogenesis of ischemia; however, the relationship between miR-143-3p and depression remains poorly understood. Here we utilized two kinds of mouse models to investigate the role of miR-143-3p in the pathogenesis of depression. Our findings reveal that the expression of miR-143-3p is upregulated in the ventral hippocampus (VH) of mice subjected to chronic restraint stress (CRS) or acute Lipopolysaccharide (LPS) treatment. Inhibiting the expression of miR-143-3p in the VH effectively alleviates depressive-like behaviors in CRS and LPS-treated mice. Furthermore, we identify Lasp1 as one of the downstream target genes regulated by miR-143-3p. The miR-143-3p/Lasp1 axis primarily affects the occurrence of depressive-like behaviors in mice by modulating synapse numbers in the VH. Finally, miR-143-3p/Lasp1-induced F-actin change is responsible for the synaptic number variations in the VH. In conclusion, this study enhances our understanding of microRNA-mediated depression pathogenesis and provides novel prospects for developing therapeutic approaches for this intractable mood disorder.

Update on the assessment of resistance to antidepressant treatment: Rationale for the Antidepressant Treatment History Form: Short Form-2 (ATHF-SF2)

All definitions of treatment-resistant depression (TRD) require that patients have experienced insufficient benefit from one or more adequate antidepressant trials. Thus, identifying "failed, adequate trials" is key to the assessment of TRD. The Antidepressant Treatment History Form (ATHF) was one of the first and most widely used instruments that provided objective criteria in making these assessments. The original ATHF was updated in 2018 to the ATHF-SF, changing to a checklist format for scoring, and including specific pharmacotherapy, brain stimulation, and psychotherapy interventions as potentially adequate antidepressant treatments. The ATHF-SF2, presented here, is based on the consensus of the ATHF workgroup about the novel interventions introduced since the last revision and which should/should not be considered effective treatments for major depressive episodes. This document describes the rationale for these choices and, for each intervention, the minimal criteria for determining the adequacy of treatment administration. The Supplementary Material that accompanies this article provide the Scoring Checklist, Data Collection Forms (current episode and composite of previous episodes), and Instruction Manual for the ATHF-SF2.

Treatment of bipolar depression: clinical practice vs. adherence to guidelines-data from a Bavarian drug surveillance project

Objectives

Pharmacotherapy of bipolar depression (BPD) is confronted with major clinical challenges, like limited evidence-based treatment options, regular cases of treatment resistance, and risk of treatment-emergent affective switches. Medical guidelines can support practitioners to make decisions based on current scientific evidence. The objective of this study is to evaluate to what extent recommendations of the 2019 German S3 guidelines "Diagnosis and Treatment of Bipolar Disorders" are reflected in clinical practice in inpatient treatment.

Methods

We conducted a descriptive analysis of prescription numbers in 2,627 patients with BPD in a naturalistic inpatient setting analyzing data from the ongoing Bavarian multicenter drug safety project Pharmaco-Epidemiology and Vigilance (Pharmako-EpiVig) from the years 2014-2022.

Results

Of the patients, 38% were not administered any drug explicitly recommended for treatment of BPD, that is, quetiapine, lamotrigine, carbamazepine, or olanzapine. Only 6% of the patients received monotherapy with one of those drugs. Of the patients, 34% were administered ≥4 psychotropic drugs simultaneously. Patients received 912 different therapy regimens of mono or combination therapy with mood stabilizers (MS), atypical antipsychotics (AAP), and antidepressants. Of the patients, 72% received an antidepressant and 6% without concomitant prescription of an AAP or MS. Prescription rates of venlafaxine (21% to 14%) and tricyclic antidepressants (9% to 6%) decreased significantly from the first (2014-2016) to the last (2020-2022) observed time period. Of the patients, 60% received an MS. Prescription rate of valproate (22% to 14%) decreased significantly, while lithium prescription increased significantly (29% to 35%). Of the patients, 71% were administered an AAP. Quetiapine was the most prescribed drug overall (43%). Only two patients were administered a combination of olanzapine and fluoxetine.

Conclusion

Our results demonstrate a substantial gap between guideline recommendations and current clinical practice. The remarkable heterogeneity in treatment regimens, with no discernible dominant treatment approach, is in part a reflection of the complexity of bipolar disorder but also substantiates the need of comprehensive recommendations regarding combination therapies. Increase in lithium prescription is an encouraging development due to its unique efficacy in maintenance treatment. To improve the quality of clinical practice guideline implementation, more randomized controlled trials should be conducted in the future to prospectively investigate different implementation strategies.

A Nationwide Target Trial Emulation Assessing the Risk of Antidepressant-Induced Mania Among Patients With Bipolar Depression

OBJECTIVE

Antidepressants are commonly used to treat bipolar depression but may increase the risk of mania. The evidence from randomized controlled trials, however, is limited by short treatment durations, providing little evidence for the long-term risk of antidepressant-induced mania. The authors performed a target trial emulation to compare the risk of mania among individuals with bipolar depression treated or not treated with antidepressants over a 1-year period.

METHODS

The authors emulated a target trial using observational data from nationwide Danish health registers. The study included 979 individuals with bipolar depression recently discharged from a psychiatric ward. Of these, 358 individuals received antidepressant treatment, and 621 did not. The occurrence of mania and bipolar depression over the following year was ascertained, and the intention-to-treat effect of antidepressants was analyzed by using Cox proportional hazards regression with adjustment for baseline covariates to emulate randomized open-label treatment allocation.

RESULTS

The fully adjusted analyses revealed no statistically significant associations between treatment with an antidepressant and the risk of mania in the full sample (hazard rate ratio=1.08, 95% CI=0.72-1.61), in the subsample concomitantly treated with a mood-stabilizing agent (hazard rate ratio=1.16, 95% CI=0.63-2.13), and in the subsample not treated with a mood-stabilizing agent (hazard rate ratio=1.16, 95% CI=0.65-2.07). Secondary analyses revealed no statistically significant association between treatment with an antidepressant and bipolar depression recurrence.

CONCLUSIONS

These findings suggest that the risk of antidepressant-induced mania is negligible and call for further studies to optimize treatment strategies for individuals with bipolar depression.

Acupuncture treatment for liver cancer pain: A meta-analysis

Acupuncture treatment is a common intervention for the clinical relief of primary liver cancer (PLC) pain, but there is variability in its efficacy. This review systematically assessed the efficacy and safety of acupuncture treatment for PLC pain by meta-analysis. A total of 17 randomized controlled trial studies involving 1162 patients met the inclusion criteria. This study identified the acupuncture method, treatment duration, and patient age were the main factors affecting the efficacy of acupuncture treatment.

Lithium versus anticonvulsants and the risk of physical disorders - Results from a comprehensive long-term nation-wide population-based study emulating a target trial

Bipolar disorder is associated with increased rates of many physical disorders, but the effects of medication are unclear. We systematically investigated the associations between sustained use of first line maintenance agents, lithium versus lamotrigine and valproate, and the risk of physical disorders using a nation-wide population-based target trial emulation covering the entire 5.9 million inhabitants in Denmark. We identified two cohorts. Cohort 1: patients with a diagnosis of bipolar disorder prior to first purchase (N = 12.607). Cohort 2: all 156.678 adult patients who had their first ever purchase (since 1995) of either lithium, lamotrigine or valproate between 1997 and 2021 regardless of diagnosis. Main analyses investigated the effect of sustained exposure defined as exposure for all consecutive 6-months periods during a 10-year follow-up. Outcomes included a diagnosis of incident stroke, arteriosclerosis, angina pectoris, myocardial infarction, diabetes mellitus, myxedema, osteoporosis, dementia, Parkinson's disease, chronic kidney disease and cancer (including subtypes). In both Cohorts 1 and 2, there were no systematic statistically significant differences in associations between sustained use of lithium versus lamotrigine and valproate, respectively, and any physical disorder, including subtypes of disorders, except myxedema, for which exposure to lithium increased the absolute risk of myxedema with 7-10 % compared with lamotrigine or valproate. In conclusion, these analyses emulating a target trial of "real world" observational register-based data show that lithium does not increase the risk of developing any kind of physical disorders, except myxedema, which may be a result of detection bias.

Challenges in the Treatment of Psychotic Bipolar Depression

BACKGROUND

Psychotic bipolar depression (PBD) is a prevalent yet understudied psychiatric illness, and there are no specific guidelines or Food and Drug Administration-approved medications for its treatment. Recent studies suggest that some antipsychotics and mood stabilizers may be effective in managing bipolar depression; however, their effectiveness for PBD remains unclear. Given the urgent need for more focused research for managing PBD, we conducted a literature review to summarize the existing literature on PBD.

METHODS

We conducted an electronic literature search from the 1960s to 2023, utilizing PubMed, MEDLINE, EMBASE, and Google, and selected studies based on their relevance to PBD.

FINDINGS

PBD is a complex disorder, with 50%-75% of patients with bipolar disorder exhibiting psychotic features. This likelihood increases among those with a history of psychotic mania. Treatment guidelines often recommend a combination of mood stabilizers, antipsychotics, or electroconvulsive therapy, but they do not specify a first-line treatment. PBD symptoms can be masked by mixed high mood and energy feelings, potentially delaying diagnosis and treatment while increasing suicide risk. Limited research has evaluated outcomes of various treatments for PBD, and despite the lack of evidence for superior efficacy, in clinical practice, antipsychotics are frequently prescribed. Notably, combining an antipsychotic with selective noradrenaline reuptake inhibitors or tricyclic antidepressants may be effective, but including a mood stabilizer is necessary.

CONCLUSION

PBD poses a significant challenge in mental health due to its severity and the lack of consensus on optimal treatment approaches. There is a critical need for more dedicated clinical trials and research to answer key questions about the effective treatment of acute PBD, ideal follow-up care, traits of responders to different therapies, and decision models for subsequent treatments.

Post-marketing surveillance of quetiapine fumarate extended-release tablets in patients with bipolar depression

AIM

This study aimed to verify the real-world efficacy and safety of quetiapine fumarate extended-release tablets (Bipresso® 50 mg and 150 mg; marketing authorization holder is KYOWA Pharmaceutical Industry Co., Ltd., Osaka, Japan) in patients with bipolar depression.

METHODS

We performed a post-marketing surveillance with an observation period of 12 weeks.

RESULTS

In the safety analysis group (n = 345), adverse drug reactions (ADRs) occurred in 111 patients (32.17%). The most common ADRs (>1%) were somnolence in 55 patients (15.94%), akathisia in 11 (3.19%), dizziness in 10 (2.90%), weight increase in 6 (1.74%), thirst in 5 (1.45%), and hypersomnia, constipation, and nausea in 4 patients each (1.16%). The only severe ADR was one patient of suicidal ideation, and "longer time since the onset of the first episode" (p = 0.011) and "presence of complications" (p < 0.001) were identified as significant risk factors for the occurrence of ADRs. In the efficacy analysis group (n = 265), the average changes from baseline in the total Montgomery-Åsberg Depression Rating Scale (MADRS) score were -7.3 ± 8.8, -12.2 ± 10.7, -16.8 ± 12.7, and -13.2 ± 12.7 points after 4, 8, and 12 weeks, and at the last evaluation, respectively. The mean MADRS total score decrease had no significant association with maximum daily dose, diagnosis, and presence or absence of prior or concomitant treatment for bipolar disorder with mood stabilizers/antipsychotics/antidepressants.

CONCLUSION

The efficacy of quetiapine fumarate extended-release tablets was confirmed in clinical practice, and no new safety concerns or risks were identified.

Integrated proteomic and genomic analysis to identify predictive biomarkers for valproate response in bipolar disorder: a 6-month follow-up study

BACKGROUND

Several genetic studies have been undertaken to elucidate the intricate interplay between genetics and drug responses in bipolar disorder (BD). However, there has been notably limited research on biomarkers specifically linked to valproate, with only a few studies investigating integrated proteomic and genomic factors in response to valproate treatment. Therefore, this study aimed to identify biological markers for the therapeutic response to valproate treatment in BD. Patients with BD in remission were assessed only at baseline, whereas those experiencing acute mood episodes were evaluated at three points (baseline, 8 ± 2 weeks, and 6 ± 1 months). The response to valproate treatment was measured using the Alda scale, with individuals scoring an Alda A score ≥ 5 categorized into the acute-valproate responder (acute-VPAR) group. We analyzed 158 peptides (92 proteins) from peripheral blood samples using multiple reaction monitoring mass spectrometry, and proteomic result-guided candidate gene association analyses, with 1,627 single nucleotide variants (SNVs), were performed using the Korean chip.

RESULTS

The markers of 37 peptides (27 protein) showed temporal upregulation, indicating possible association with response to valproate treatment. A total of 58 SNVs in 22 genes and 37 SNVs in 16 genes showed nominally significant associations with the Alda A continuous score and the acute-VPAR group, respectively. No SNVs reached the genome-wide significance threshold; however, three SNVs (rs115788299, rs11563197, and rs117669164) in the secreted phosphoprotein 2 gene reached a gene-based false discovery rate-corrected significance threshold with response to valproate treatment. Significant markers were associated with the pathophysiological processes of bipolar disorders, including the immune response, acute phase reaction, and coagulation cascade. These results suggest that valproate effectively suppresses mechanisms associated with disease progression.

CONCLUSIONS

The markers identified in this study could be valuable indicators of the underlying mechanisms associated with response to valproate treatment.

Chinese herbal medicines for the treatment of depression: a systematic review and network meta-analysis

Objectives: Amidst rising global burden of depression and the associated challenges with conventional antidepressant therapies, there is a growing interest in exploring the efficacy and safety of alternative treatments. This study uses a Bayesian network meta-analysis to rigorously evaluate the therapeutic potential of Chinese herbal medicines in the treatment of depression, focusing on their comparative efficacy and safety against standard pharmacological interventions. Methods: Five databases (PubMed, Wanfang Data, EMBASE, CNKI, and the Cochrane Library) and grey literature were searched from inception to end of July 2023 to identify studies that assessed the efficacy and safety of Chinese herbal medicines in treating depression. The response rate, Hamilton Depression Scale (HAMD) scores, and rates of adverse events were assessed through both direct and indirect comparisons. Data extraction and risk of bias assessment were meticulously performed. Statistical analysis used Markov chain Monte Carlo methods, with effect size estimates provided as odd ratios and their 95% confidence intervals. Results: A total of 198 RCTs involving 8,923 patients were analyzed, assessing 17 Chinese herbal medicines. Surface Under the Cumulative Ranking results indicated that the top three treatments with the best response rate were possibly Guipiwan, Ease Pill, and Chaihu Jia Longgu Muli Decoction; the top three treatments on the reduction of HAMD scores were Chai Hu Shu Gan San, Xingnao Jieyu Decoction, and Xiaoyao Powder; and the top three treatments with the lowest adverse effects rates were Xiaoyao Powder, Alprazolam, and Xingnao Jieyu Decoction. Interestingly, commonly used synthetic drugs such as Fluoxetine, Escitalopram, Amitriptyline, Sertraline, Flupentixol and Melitracen, and Venlafaxine, not only appeared to be less effective than specific Chinese herbal medicines (Gan Mai Da Zao Decoction, Chaihu Jia Longgu Muli Decoction, Chai Hu Shu Gan San, Danzhi-Xiaoyao-San, and Xingnao Jieyu Decoction), but they were also related to substantially higher risk of adverse events. Conclusion: Our findings elucidate the promising therapeutic potential of Chinese herbal medicines as viable alternatives in the treatment of depression, with certain herbs demonstrating enhanced efficacy and safety profiles. The outcomes of this study advocate for the integration of these alternative modalities into contemporary depression management paradigms. However, it underscores the necessity for larger, methodologically robust trials to further validate and refine these preliminary findings. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42023452109.

Pharmacodynamic properties of lumateperone and its efficacy in acute bipolar depression: a mechanistic hypothesis based on data

The treatment of bipolar depression is one of the most challenging needs in contemporary psychiatry. Currently, only quetiapine, olanzapine-fluoxetine combination, lurasidone, cariprazine, and recently lumateperone have been FDA-approved to treat this condition. The neurobiology of bipolar depression and the possible mechanistic targets of bipolar antidepressant therapy remain elusive. The current study investigated whether the pharmacodynamic properties of lumateperone fit into a previously developed model which was the first to be derived based on the strict combination of clinical and preclinical data. The authors performed a systematic review of the literature to identify the pharmacodynamic properties of lumateperone. The original model suggests that a constellation of effects on different receptors is necessary, but refinements, including the present study, suggest that the inhibition of the serotonin reuptake at the first level, the 5HT-2A blockade at the second level, and the norepinephrine alpha-1 receptors blockade at a third level in combination with D1 blockade contribute to the antidepressant effect in acute bipolar depression. The D2 blockade acts as a protective mechanism and reduces the risk of switching to mania/hypomania.

Pharmacological treatments for psychotic depression: a systematic review and network meta-analysis

BACKGROUND

There are no recommendations based on the efficacy of specific drugs for the treatment of psychotic depression. To address this evidence gap, we did a network meta-analysis to assess and compare the efficacy and safety of pharmacological treatments for psychotic depression.

METHODS

In this systematic review and network meta-analysis, we searched ClinicalTrials.gov, CENTRAL, Embase, PsycINFO, PubMed, Scopus, and Web of Science from inception to Nov 23, 2023 for randomised controlled trials published in any language that assessed pharmacological treatments for individuals of any age with a diagnosis of a major depressive episode with psychotic features, in the context of major depressive disorder or bipolar disorder in any setting. We excluded continuation or maintenance trials. We screened the study titles and abstracts identified, and we extracted data from relevant studies after full-text review. If full data were not available, we requested data from study authors twice. We analysed treatments for individual drugs (or drug combinations) and by grouping them on the basis of mechanisms of action. The primary outcomes were response rate (ie, the proportion of participants who responded to treatment) and acceptability (ie, the proportion who discontinued treatment for any reason). We calculated risk ratios and did separate frequentist network meta-analyses by using random-effects models. The risk of bias of individual studies was assessed with the Cochrane risk-of-bias tool and the confidence in the evidence with the Confidence-In-Network-Meta-Analysis (CINeMA). This study was registered with PROSPERO, CRD42023392926.

FINDINGS

Of 6313 reports identified, 16 randomised controlled trials were included in the systematic review, and 14 were included in the network meta-analyses. The 16 trials included 1161 people with psychotic depression (mean age 50·5 years [SD 11·4]). 516 (44·4%) participants were female and 422 (36·3%) were male; sex data were not available for the other 223 (19·2%). 489 (42·1%) participants were White, 47 (4·0%) were African American, and 12 (1·0%) were Asian; race or ethnicity data were not available for the other 613 (52·8%). Only the combination of fluoxetine plus olanzapine was associated with a higher proportion of participants with a treatment response compared with placebo (risk ratio 1·91 [95% CI 1·27-2·85]), with no differences in terms of safety outcomes compared with placebo. When treatments were grouped by mechanism of action, the combination of a selective serotonin reuptake inhibitor with a second-generation antipsychotic was associated with a higher proportion of treatment responses than was placebo (1·89 [1·17-3·04]), with no differences in terms of safety outcomes. In head-to-head comparisons of active treatments, a significantly higher proportion of participants had a response to amitriptyline plus perphenazine (3·61 [1·23-10·56]) and amoxapine (3·14 [1·01-9·80]) than to perphenazine, and to fluoxetine plus olanzapine compared with olanzapine alone (1·60 [1·09-2·34]). Venlafaxine, venlafaxine plus quetiapine (2·25 [1·09-4·63]), and imipramine (1·95 [1·01-3·79]) were also associated with a higher proportion of treatment responses overall. In head-to-head comparisons grouped by mechanism of action, antipsychotic plus antidepressant combinations consistently outperformed monotherapies from either drug class in terms of the proportion of participants with treatment responses. Heterogeneity was low. No high-risk instances were identified in the bias assessment for our primary outcomes.

INTERPRETATION

According to the available evidence, the combination of a selective serotonin reuptake inhibitor and a second-generation antipsychotic-and particularly of fluoxetine and olanzapine-could be the optimal treatment choice for psychotic depression. These findings should be taken into account in the development of clinical practice guidelines. However, these conclusions should be interpreted cautiously in view of the low number of included studies and the limitations of these studies.

FUNDING

None.

New pharmacotherapies to tackle the unmet needs in bipolar disorder: a focus on acute suicidality

INTRODUCTION

Suicidal behavior is relatively frequent in patients with bipolar disorder (BD) and constitutes their most frequent cause of death. Suicide rates remain high in patients with BD despite adherence to guidelines recommending lithium as first line, and/or antidepressants, antipsychotics, psychotherapy, psychosocial interventions, and electroconvulsive therapy. Hence the need to identify more effective and rapid anti-suicide interventions.

AREAS COVERED

To tackle the unmet needs of pharmacotherapy, we investigated the PubMed database on 24-25 January 2024 using strategies like ('acute suicid*'[ti] OR 'suicide crisis syndrome' OR 'acute suicidal affective disturbance') AND (lithium[ti] OR clozapine[ti]), which obtained 3 results, and ('acute suicid*'[ti] OR 'suicide crisis syndrome' OR 'acute suicidal affective disturbance') AND (ketamine[ti] OR esketamine[ti] OR NMDA[ti] OR glutamat*[ti]), which yielded 14 results. We explored glutamatergic abnormalities in BD and suicide and found alterations in both. The noncompetitive NMDS antagonist ketamine and its S-enantiomer esketamine reportedly decrease acute suicidality.

EXPERT OPINION

Intranasal esketamine or subcutaneous ketamine, single-bolus or intravenous, and possibly other glutamate receptor modulators may improve suicidal behavior in patients with unipolar and bipolar depression. This may be achieved through prompt remodulation of glutamate activity. The correct use of glutamatergic modulators could reduce acute suicidality and mortality in patients with BD.

Why is lithium [not] the drug of choice for bipolar disorder? a controversy between science and clinical practice

BACKGROUND

During over half a century, science has shown that lithium is the most efficacious treatment for bipolar disorder but despite this, its prescription has consistently declined internationally during recent decades to approximately 35% ever use or less of patients with bipolar disorder.

CONTENT

This narrative review provides an overview of the decreasing use of lithium in bipolar disorder internationally, shortly summarises the evidence for lithium's acute and prophylactic effects in bipolar disorder, discuss the challenges in relation to lithium including side effects, long-term risks and myths around lithium and provides two detailed examples on how specialised care models may result in successful increase of the use of lithium to 70% of patients with bipolar disorder largescale and improve care regionally and nationally.

CONCLUSIONS

Decades of scientific investigations and education and teaching of clinicians and the public has not increased the use of lithium on a population-based large scale. It is argued that lithium should be the drug of choice for maintenance therapy as the single first-line treatment and that organizational changes are needed with specialised care for bipolar disorder to systematically and long-term change the use of lithium on a large-scale population-level.

Diagnosis and Treatment of Bipolar Disorder: A Review

Importance

Bipolar disorder affects approximately 8 million adults in the US and approximately 40 million individuals worldwide.

Observations

Bipolar disorder is characterized by recurrent episodes of depression and mania or hypomania. Bipolar depressive episodes are similar to major depressive episodes. Manic and hypomanic episodes are characterized by a distinct change in mood and behavior during discrete time periods. The age of onset is usually between 15 and 25 years, and depression is the most frequent initial presentation. Approximately 75% of symptomatic time consists of depressive episodes or symptoms. Early diagnosis and treatment are associated with a more favorable prognosis. Diagnosis and optimal treatment are often delayed by a mean of approximately 9 years following an initial depressive episode. Long-term treatment consists of mood stabilizers, such as lithium, valproate, and lamotrigine. Antipsychotic agents, such as quetiapine, aripiprazole, asenapine, lurasidone, and cariprazine, are recommended, but some are associated with weight gain. Antidepressants are not recommended as monotherapy. More than 50% of patients with bipolar disorder are not adherent to treatment. Life expectancy is reduced by approximately 12 to 14 years in people with bipolar disorder, with a 1.6-fold to 2-fold increase in cardiovascular mortality occurring a mean of 17 years earlier compared with the general population. Prevalence rates of metabolic syndrome (37%), obesity (21%), cigarette smoking (45%), and type 2 diabetes (14%) are higher among people with bipolar disorder, contributing to the risk of early mortality. The annual suicide rate is approximately 0.9% among individuals with bipolar disorder, compared with 0.014% in the general population. Approximately 15% to 20% of people with bipolar disorder die by suicide.

Conclusions and Relevance

Bipolar disorder affects approximately 8 million adults in the US. First-line therapy includes mood stabilizers, such as lithium, anticonvulsants, such as valproate and lamotrigine, and atypical antipsychotic drugs, such as quetiapine, aripiprazole, asenapine, lurasidone, and cariprazine.