A revisionist model for treatment-resistant and difficult-to-treat depression.

OBJECTIVE: The aim of this study is to consider limitations to the heuristics 'treatment-resistant depression' (TRD) and 'difficult-to-treat' depression (DTD) and to offer a revisionist model. METHODS: A number of limitations to the two constructs are noted, particularly the risk of each positioning clinical depression as an entity and then applying a linear sequencing management model. RESULTS: Arguing that clinical depression is heterogenous in nature (with categorical and 'fuzzy set conditions), in cause and in response to treatment, allows an alternate model for addressing depressive conditions that are not readily responsive to treatment. A skeletal model for proceeding is offered for consideration and development. CONCLUSION: If such a model is accepted, then differing criteria for defining treatment resistance and treatment failure might be generated for differing depressive conditions, and condition-specific sequencing algorithms (embracing drug and non-drug strategies) developed for their management.

Differentiating 'pure' and comorbid self-identified burnout: Diagnostic and management implications.

OBJECTIVE: A previous study identified categorically differing scores on the Sydney Burnout Measure (SBM) between individuals with self-identified burnout with (n = 354) or without (n = 188) a history of mental illness. The current study examined whether the SBM's validity held in both scenarios. METHOD: The factorial structure and scores on the SBM measure were compared between the two groups. RESULTS: Similar underlying symptom constructs were identified. The group with a mental illness history had higher general factor scores, suggesting more severe burnout. The group without such a history (and thus a 'purer' burnout state) had higher scores on the empathy loss factor, suggesting its greater specificity to burnout than to other psychological states. CONCLUSIONS: Burnout appears to be experienced similarly by those with and without a mental illness history as measured by the SBM.

Does theta burst stimulation have differential benefit for those with melancholic or non-melancholic depression?

BACKGROUND: To determine if theta burst stimulation (TBS) is of preferential benefit to those with melancholic or non-melancholic depression as an adjunctive treatment for treatment resistant depression (TRD). METHODS: Fifty-two patients receiving TBS at a private psychiatric hospital participated in a naturalistic study. Four diagnostic strategies were used to assign melancholic versus non-melancholic depression subtype status. Depression symptoms were assessed at baseline, mid-treatment, and end of treatment using the Montgomery-Ǻsberg Depression Rating Scale - Self-Assessment (MADRS-S). Forty-one participants also completed the MADR-S at a six-week follow-up assessment. RESULTS: We quantified poor correlations between the four study measures of melancholia; a finding suggesting that valid measurement of melancholia is likely to remain problematic. TBS led to significant reductions in depression symptoms from baseline to end of treatment, with this effect maintained at follow up. Response rates for the whole sample were 61.5 % at end of treatment and 53.7 % at follow-up, while remission rates were 34.6 % at end of treatment and 31.7 % at follow-up. Improvement rates as well as responder and remission rates were comparable for the melancholic and non-melancholic groups, irrespective of the diagnostic strategy used. LIMITATIONS: The study was naturalistic (i.e., there being no control group, and concomitant medication changes were allowed), depression severity was assessed only by use of self-report measures, and the sample size was relatively small. CONCLUSION: TBS appears to be non-specific, in that we failed to quantify any statistically significant differential benefit for those with melancholic compared to those with non-melancholic depression.

ADDing up?

OBJECTIVE: To hypothesise that a possible increased prevalence of adult-onset attention-deficit disorder (ADD) and attention-deficit hyperactivity disorder (ADHD) may reflect mobile technology and digital media use being an aetiological factor. CONCLUSIONS: Data and clinical observations support but do not prove the hypothesis.

Impact of mood stabilizers on creativity.

OBJECTIVE: While a DSM-5 criterion for both hypomania and mania is impaired functioning, the majority of those with a bipolar condition report improved functioning. When offered a mood stabilizer, many express concerns about any impact on their creativity. This piece seeks to address the question and attendant issues. METHOD: Reference is made to the impact of differing mood stabilizers on cognitive performance and the limited data on any specific impact on creativity, while some personal observations are offered. RESULTS: There appears to be a distinctive gradient in the cognitive impacts of differing mood stabilizers, with lithium offering the highest risk, carbamazepine and valproate providing a slight risk, and lamotrigine seemingly without cognitive side-effects. CONCLUSIONS: The question not only invites a nuanced response from the clinician but argues for close observation of any cognitive side-effects when lithium is introduced.

An observer-rated strategy for differentiating schizophrenic and manic states in inpatient settings.

OBJECTIVES: Differentiating schizophrenia from mania in acutely psychotic patients can be difficult, but is important in determining immediate and subsequent management. Such differentiation is generally addressed by clinical interviews, but an observational approach may assist. This paper therefore describes the development of a relevant observational measure. METHODS: We developed a provisional list of 49 items (weighting features with suggested specificity to schizophrenia and mania) for independent completion by two nurses and judged its ability to predict diagnosis provided by consultant psychiatrists. RESULTS: Eighty-seven psychotic patients were recruited, and 173 completed data sets were analysed. We refined the item set to two sets of 10 items that best-differentiated schizophrenia from mania and vice versa. Optimal differentiation was achieved with a score of at least 7 on both the schizophrenia and mania item sets. Difference scores (i.e. schizophrenia items affirmed minus mania items affirmed) were also generated, with a difference score of +1 (i.e. one or more schizophrenia items being affirmed than mania items) showing optimal differentiation (sensitivity 0.67, specificity 0.82) between the two conditions. Evaluating all potential difference scores, we demonstrated that, as difference scores increased, diagnostic accuracy in identifying each condition was very high. CONCLUSION: Analyses allow the properties of an observational measure (the 20-item Sydney Psychosis Observation Tool) to be described. While a single cut-off difference score was derived with acceptable discriminatory ability, we also established the capacity of varying difference scores to assign both schizophrenia and mania diagnoses with high accuracy.

A naturalistic effectiveness study of maintenance therapies for the bipolar disorders.

BACKGROUND: Treatment decision-making for individuals with bipolar disorder can be difficult. Recommendations from clinical practice guidelines can be affected by multiple methodological limitations, while pharmaco-epidemiological data suggest great variety in prescription practices across regions. Given these inconsistencies, this study aimed to provide an alternative perspective on the effectiveness of common bipolar disorder maintenance treatments through considering naturalistic data. METHODS: A total of 246 individuals with bipolar disorder (84 bipolar I [BP-I], 162 bipolar II [BP-II]) were recruited through clinics and/or websites. All were euthymic and had trialled at least one mood stabiliser. They completed an online survey containing questions on demographics, clinical variables, symptomatology, and the effectiveness/side effect profiles of any mood stabilisers (MSTs) or atypical antipsychotics (AAPs) that they have taken. RESULTS: Lithium and lamotrigine were the most commonly prescribed MSTs and the most effective at mood stabilisation. Lithium and lamotrigine appeared marginally more effective for BP-I and BP-II respectively, however, only the latter difference was statistically significant. Furthermore, lamotrigine had the more favourable side effect profile. Amongst the AAPs, quetiapine and olanzapine were the most commonly prescribed, but they were negligibly superior to other AAPs. CONCLUSION: This study clearly established a preference for lamotrigine in the maintenance treatment of BP-II. While the literature consistently emphasises the primacy of lithium in bipolar disorder treatment, its side effect profile as observed in this study remains a concern. Future research considering moderators of treatment response and concomitant medications could help to identify further nuances to consider for treatment decision-making.

A chat about bipolar disorder.

OBJECTIVES: This study aimed to assess the capabilities of ChatGPT (Chat Generative Pre-Trained Transformer) in generating informative content related to bipolar disorders. The objectives were to evaluate its ability to provide accurate information on symptoms, classification, causes, and management of bipolar disorder and to explore its creativity in generating topic-related songs. METHODS: ChatGPT3 was used for the study, and a series of clinically relevant questions were asked to test its knowledge and creativity. Questions ranged from common symptom descriptions to more artistic requests for songs related to bipolar disorder. RESULTS: ChatGPT demonstrated the capacity to provide basic and informative material on bipolar disorders, including descriptions of symptoms, classification types, causes, and treatment options. It also showed creativity in generating songs that capture the nuances of bipolar symptoms, both during high and low states. CONCLUSIONS: While ChatGPT3 can offer superficial information on psychiatric topics like bipolar disorder, its inability to provide accurate and up-to-date references limits its utility for creating a comprehensive review article for scientific journals. However, it may be helpful in generating educational material and assisting in component tasks for those with bipolar disorder or other psychiatric conditions. As newer versions of AI models are continually developed, their capabilities in producing more accurate and advanced content will need further evaluation.

On the Origins of MAOI Misconceptions: Reaffirming their Role in Melancholic Depression.

The first monoamine oxidase inhibitors (MAOIs) used for the treatment of depression in the 1950-60s were credited with treating severe melancholic depression (MeD) successfully and greatly reducing the need for electroconvulsive therapy (ECT). Following the hiatus caused by the then ill-understood cheese reaction, MAOI use was relegated to atypical and treatment-resistant depressions only, based on data from insufficiently probing research studies suggesting their comparatively lesser effectiveness in MeD. The siren attraction of new 'better' drugs with different mechanisms amplified this trend. Following a re-evaluation of the data, we suggest that MAOIs are effective in MeD. Additionally, the broad unitary conceptualisation of major depressive disorder (MDD) in the DSM model diminished the chance of demonstrating distinctive responses to different antidepressant drugs (ADs) such as SSRIs, TCAs, and MAOIs, thereby further reducing the interest in MAOIs. More reliable categorical distinction of MeD, disentangling it from MDD, may be possible if more sensitive measuring instruments (CORE, SMPI) are used. We suggest these issues will benefit from re-appraisement via an inductive reasoning process within a binary (rather than a unitary) model for defining the different depressive disorders, allowing for the use of more reliable diagnostic criteria for MeD in particular. We conclude that MAOIs remain essential for, inter alia, TCA-resistant MeD, and should typically be used prior to ECT; additionally, they have a role in maintaining remission in cases treated with ECT (and ketamine/esketamine). We suggest that MAOIs should be utilized earlier in treatment algorithms and with greater regularity than is presently the case.

Burnout and depression: Points of convergence and divergence.

BACKGROUND: Debate is ongoing as to whether burnout can be differentiated from depression. This study evaluated whether burnout and depression could be distinguished using a new burnout measure and other variables. METHODS: Scores on the Sydney Burnout Measure (SBM) were compared between participants with self-diagnosed burnout (BO-all group; n = 622) and clinically-diagnosed depression (DEP-all group; n = 90). The latter group was split into melancholic (DEP-mel; n = 56) and non-melancholic (DEP-nonmel; n = 34) depression subgroups for subsequent analyses. Differences in reporting of depressive symptoms and causal attributions were also evaluated. RESULTS: While total SBM scores showed poor differentiation, the BO-all group had lower social withdrawal and higher empathy loss subscale scores than the depression groups. Odds ratios were significant for several of the depressive symptoms and causal attribution items when comparing the BO-all group to the DEP-all and DEP-mel groups, while only a few items were significant when comparing the BO-all and DEP-nonmel groups. LIMITATIONS: Participants in the depression group were assigned by clinician-based depression diagnoses, rather than by a standardised diagnostic interview, and the group had a relatively small sample size. Participants in the burnout group were self-diagnosed and not assessed for comorbid psychiatric diagnoses. CONCLUSIONS: There were some nuanced symptoms differences between burnout and depression, but many of the SBM symptoms were not specific to burnout. Results also suggested that burnout overlaps more with non-melancholic than melancholic depression, and that differentiation of burnout and depression may rely more on weighting causal factors over symptoms.

Exploring the validity of the Sydney Burnout Measure.

This study aimed to examine the convergent validity of a new measure of burnout, the Sydney Burnout Measure (SBM) by comparison against the field standard measure - the Maslach Burnout Inventory (MBI). A second aim was to consider burnout's association with psychological distress. 1483 dental professionals completed the two burnout measures as well as two measures of psychological distress. The overall correlation between total scores on the two measures (and on shared constructs) was high, and thus the convergent validity of the SBM was supported. Further, the SBM and MBI total scores correlated highly with total scores on the two measures of distress. Exploratory structural equation modelling (ESEM) also identified substantial overlap between the measures, especially in relation to the exhaustion subscales of the burnout measures and their overlap with psychological distress items. While future research is required to determine which burnout measure and its associated burnout definition is most valid, our findings argue for further consideration of how burnout may best be conceptualized, as well as whether the syndrome is worthy of elevation to mental disorder status.

Differentiating melancholic and non-melancholic depression via biological markers: A review.

OBJECTIVES: Melancholia is a severe form of depression that is typified by greater genetic and biological influence, distinct symptomatology, and preferential response to physical treatment. This paper sought to broadly overview potential biomarkers of melancholia to benefit differential diagnosis, clinical responses and treatment outcomes. Given nuances in distinguishing melancholia as its own condition from other depressive disorder, we emphasised studies directly comparing melancholic to non-melancholic depression. METHODS: A comprehensive literature search was conducted. Key studies were identified and summarised qualitatively. RESULTS: 105 studies in total were identified. These studies covered a wide variety of biomarkers, and largely fell into three domains: endocrinological (especially cortisol levels, particularly in response to the dexamethasone suppression test), neurological, and immunological (particularly inflammatory markers). Less extensive evidence also exists for metabolic, genetic, and cardiovascular markers. CONCLUSIONS: Definitive conclusions were predominantly limited due to substantial heterogeneity in how included studies defined melancholia. Furthermore, this heterogeneity could be responsible for the between- and within-group variability observed in the candidate biomarkers that were examined. Therefore, clarifying these definitional parameters may help identify underlying patterns in biomarker expression to improve diagnostic and therapeutic precision for the depressive disorders.

Interpretation of Depression Detection Models via Feature Selection Methods.

Given the prevalence of depression worldwide and its major impact on society, several studies employed artificial intelligence modelling to automatically detect and assess depression. However, interpretation of these models and cues are rarely discussed in detail in the AI community, but have received increased attention lately. In this study, we aim to analyse the commonly selected features using a proposed framework of several feature selection methods and their effect on the classification results, which will provide an interpretation of the depression detection model. The developed framework aggregates and selects the most promising features for modelling depression detection from 38 feature selection algorithms of different categories. Using three real-world depression datasets, 902 behavioural cues were extracted from speech behaviour, speech prosody, eye movement and head pose. To verify the generalisability of the proposed framework, we applied the entire process to depression datasets individually and when combined. The results from the proposed framework showed that speech behaviour features (e.g. pauses) are the most distinctive features of the depression detection model. From the speech prosody modality, the strongest feature groups were F0, HNR, formants, and MFCC, while for the eye activity modality they were left-right eye movement and gaze direction, and for the head modality it was yaw head movement. Modelling depression detection using the selected features (even though there are only 9 features) outperformed using all features in all the individual and combined datasets. Our feature selection framework did not only provide an interpretation of the model, but was also able to produce a higher accuracy of depression detection with a small number of features in varied datasets. This could help to reduce the processing time needed to extract features and creating the model.

Phase-based concerns of caregivers for individuals with a bipolar disorder.

BACKGROUND: Caregivers have a key role in providing social and practical support for individuals with bipolar disorder. As such, their perspectives are uniquely important when collaborative decisions are made on management priorities and potential treatment options. AIMS: This study aims to identify common concerns that caregivers have in the management of an individual with a bipolar disorder. METHOD: 111 caregivers were recruited from online advertisements and social media support groups. They completed a questionnaire that obtained demographic and clinical feature details, in addition to whether a series of generic and phase-specific (i.e. depressive or hypo/manic) management concerns reflected their experiences of caregiving. RESULTS: Concerns about work capacity and family impacts were almost ubiquitous, as were general feelings of ineffectiveness and irritation. Depressive phases were more likely to elicit fears of suicide by caregivers, while during hypo/manic phases caregivers were more likely to be angered, have concerns for their own safety, call emergency services or to take safety precautions. There were no differences between bipolar subtypes with regards to concerns during depressive phases, but concerns around safety, reputational damage and risky behaviours were more likely in relation to those experiencing bipolar I manic phases compared to bipolar II hypomanic phases. CONCLUSIONS: The concerns identified by caregivers in this paper are consistent with clinical expectations, with concerns regarding insularity and externalisation being prominent for depression and hypo/mania respectively. Not all of these caregivers' concerns would necessarily be communicated in a healthcare setting, highlighting the need for an embracive approach to improve management outcomes. Additionally, caregivers' emphasis on their distinctive altruistic concerns highlights their commitment to care despite the challenges, and thus further highlights the potential for clinicians to implement a more proactive role for them in patient care.

Comorbid attention-deficit hyperactivity disorder and bipolar disorder.

The rate of comorbid attention-deficit hyperactivity disorder and bipolar disorder far exceeds chance if the two are independent conditions. Explanations for such a high comorbid prevalence and management implications are considered.

Factors associated with suicidal ideation and suicide attempts by Australian dental practitioners.

INTRODUCTION: To investigate factors associated with suicidal ideation and suicide attempts amongst Australian dental practitioners. METHODS: A self-reported online survey of 1474 registered dental practitioners in Australia was conducted from October to December 2021. Participants reported thoughts of suicide in the preceding 12 months, prior to the preceding 12 months and prior suicide attempts. RESULTS: Overall, 17.6% reported thoughts of suicide in the preceding 12 months, 31.4% prior to the preceding 12 months, and 5.6% reported ever having made a suicide attempt. In multivariate models, the odds of suicidal ideation in the preceding 12 months were higher in dental practitioners who were male (OR = 2.01), had a current diagnosis of depression (OR = 1.62), were experiencing moderate (OR = 2.76) or severe psychological distress (OR = 3.58), had self-reported illicit substance use (OR = 2.06) or had previous self-reported suicide attempts (OR = 3.02). Younger dental practitioners had more than twice the odds of recent suicidal ideation than those aged 61+ years, with higher resilience having decreasing odds of suicidal ideation. LIMITATIONS: This study did not address help seeking behaviours directly related to suicidal ideation, so it is not clear how many participants were actively seeking mental health support. The response rate was low and results may be subject to responder biases, with practitioners experiencing depression, stress and burnout being more willing to participate. CONCLUSION: These finding highlight a high prevalence of suicidal ideation amongst Australian dental practitioners. It is important to continue to monitor their mental health and develop tailored programs to provide essential interventions and supports.