Resilience and mental health during the COVID-19 pandemic

BACKGROUND

Resilience is a process that allows recovery from or adaptation to adversities. The aim of this study was to evaluate state resilience during the COVID-19 pandemic in psychiatric patients (PP), unaffected relatives (UR) and community controls (CC).

METHODS

This study is part of the Barcelona ResIlience Survey for Mental Health COVID-19 (BRIS-MHC) project. Logistic regression models were performed to identify mental health outcomes associated with bad state resilience and predictors of good state resilience. The association between state resilience and specific affective temperaments as well as their influence on the association between depressive symptoms and state resilience were verified.

RESULTS

The study recruited 898 participants that took part in the survey. The presence of depressive symptoms was a predictor of bad state resilience in PP (β=0.110, OR=1.117, p=0.028). No specific mental health outcome was associated with bad state resilience in UR and CC. Predictors of good state resilience in PP were having pursued hobbies/conducted home tasks (β=1.261, OR=3.528, p=0.044) and level of organization in the family (β=0.986, OR=2.682, p=0.008). Having a controlling family was inversely associated with good state resilience in CC (β=-1.004, OR=0.367, p=0.012). The association between bad state resilience and depressive symptoms was partially mediated by affective temperaments.

LIMITATIONS

Participants self-reported their psychiatric diagnoses, their relatives' diagnoses or the absence of a psychiatric disorder, as well as their psychiatric symptoms.

CONCLUSIONS

Enhancing resilience and coping strategies in the face of the COVID-19 pandemic might have important implications in terms of mental health outcomes.

Effects of the COVID-19 pandemic and lockdown in Spain: comparison between community controls and patients with a psychiatric disorder. Preliminary results from the BRIS-MHC STUDY

BACKGROUND

The aim of this study was to evaluate potential differences about the effects of the COVID-19 pandemic and lockdown between community controls (CC) and patients with a mental illness (MI) in a Spanish population during the state of emergency.

METHODS

Individuals with a psychiatric condition and the general population were invited to complete an anonymous online survey. Bivariate analyses were used to compare them in a broad range of measures: sociodemographic, clinical variables, behavioral changes related to the lockdown and coping strategies to face it. Two groups of different psychiatric disorders were compared: depression or anxiety disorders (D+A) versus bipolar disorder and schizophrenia related disorders (BD+SCZ).

RESULTS

413 CC and 206 MI were included in the study. CC reported to use more adaptive coping strategies as following a routine, talking to friends/relatives, practicing physical exercise and maintaining a balanced diet. MI reported significantly more anxiety and depression symptoms during the lockdown when compared to CC. Gaining weight, sleep changes, and tobacco consumption were more prevalent in the MI group. The D+A group showed significantly more psychological distress and negative expectations about the future, suffered more sleep disturbances when compared to BD+SCZ, whilst reported to practice more exercise.

LIMITATIONS

psychiatric disorders were self-reported.

CONCLUSIONS

Imposed restrictions and uncertainty during confinement had a higher psychological impact in individuals with a psychiatric illness, with less healthy behavior strategies to face the situation. Developing interventions to mitigate negative mental health outcomes among this vulnerable population will be essential in the coming months.

Long-acting injectable antipsychotics (LAIs) for maintenance treatment of bipolar and schizoaffective disorders: A systematic review

Long-Acting Injectable Antipsychotics (LAIs) are used to overcome non-compliance in psychoses, mainly schizophrenia spectrum disorders. We aimed to summarize available evidence of studies comparing the efficacy of LAIs to placebo or oral medications for Bipolar Disorder (BD) and/or Schizoaffective Disorder (SAD). We searched six databases from inception to 28-March-2018, using the strategy: long-acting antipsychotics AND (bipolar disorder OR schizoaffective disorder OR mania OR manic OR bipolar depression). We included peer-reviewed double-blind comparisons of LAIs for any clinical outcome occurrence in BD, or open mirror studies with same prospective as retrospective assessment periods. We excluded studies reporting on mixed schizophrenia/SAD populations without reporting results separately. The pooled records amounted to 642. After duplicate removal and inclusion/exclusion criteria application, we included 15 studies, 6 double-blind and 9 open, 13 assessing BD and 2 SAD. Depot neuroleptics prevented manic, but not depressive recurrences and may worsen depressive symptoms. Risperidone long-acting injectable was found to be effective in protecting from any mood/manic symptom compared to placebo, but not from depressive recurrences. Add-on or monotherapy paliperidone palmitate in SAD patients protected from psychotic, depressive, and manic symptoms. In patients with BD-I with a manic episode at study enrolment, aripiprazole monohydrate significantly delayed time to recurrence of manic episodes without inducing depressive episodes. LAIs are effective and well-tolerated maintenance treatments for BD and SAD. They showed better efficacy in preventing mania than depression. LAIs may be first-line for BD-I and SAD patients with a manic predominant polarity and with non-adherence problems.

Thyroid autoimmunity in bipolar disorder: A systematic review

BACKGROUND

Accumulating evidence points to the pathophysiological relevance between immune dysfunction and mood disorders. High rates of thyroid dysfunction have been found in patients with bipolar disorder (BD), compared to the general population. A systematic review of the relationship between BD and thyroid autoimmunity was performed.

METHODS

Pubmed, EMBASE and PsycINFO databases were searched up till January 28th, 2017. This review has been conducted according to the PRISMA statements. Observational studies clearly reporting data among BD patients and the frequency of autoimmune thyroid pathologies were included.

RESULTS

11 original studies met inclusion criteria out of 340 titles first returned from the global search. There is evidence of increased prevalence of circulating thyroid autoantibodies in depressed and mixed BD patients, while there is no evidence showing a positive relationship between BD and specific autoimmune thyroid diseases. There is a controversy about the influence of lithium exposure on circulating thyroid autoantibodies, even if most of studies seem not to support this association. A study conducted on bipolar twins suggests that autoimmune thyroiditis is related to the genetic vulnerability to develop BD rather than to the disease process itself. Females are more likely to develop thyroid autoimmunity.

LIMITATIONS

The samples, study design and outcomes were heterogeneous.

CONCLUSION

Thyroid autoimmunity has been suggested to be an independent risk factor for bipolar disorder with no clear association with lithium exposure and it might serve as an endophenotype for BD.

Residual depressive symptoms, sleep disturbance and perceived cognitive impairment as determinants of functioning in patients with bipolar disorder

BACKGROUND

Many patients with bipolar disorder (BD) experience residual symptoms during their inter-episodic periods. The study aimed to analyse the relationship between residual depressive symptoms, sleep disturbances and self-reported cognitive impairment as determinants of psychosocial functioning in a large sample of euthymic BD patients.

METHODS

This was a cross-sectional study of 468 euthymic BD outpatients. We evaluated the residual depressive symptoms with the Bipolar Depression Rating Scale, the sleep disturbances with the Pittsburgh Sleep Quality Index, the perceived cognitive performance using visual analogic scales and functioning with the Functioning Assessment Short Test. Structural equation modelling (SEM) was used to describe the relationships among the residual depressive symptoms, sleep disturbances, perceived cognitive performance and functioning.

RESULTS

SEM showed good fit with normed chi square=2.46, comparative fit index=0.94, root mean square error of approximation=0.05 and standardized root mean square residuals=0.06. This model revealed that residual depressive symptoms (path coefficient =0.37) and perceived cognitive performance (path coefficient=0.27) were the most important features significantly related to psychosocial functioning. Sleep disturbances were indirectly associated with functioning via residual depressive symptoms and perceived cognitive performance (path coefficient=0.23).

CONCLUSIONS

This study contributes to a better understanding of the determinants of psychosocial functioning during the inter-episodic periods of BD patients. These findings should facilitate decision-making in therapeutics to improve the functional outcomes of BD during this period.

Mixed states in bipolar and major depressive disorders: systematic review and quality appraisal of guidelines

OBJECTIVE

This systematic review provided a critical synthesis and a comprehensive overview of guidelines on the treatment of mixed states.

METHOD

The MEDLINE/PubMed and EMBASE databases were systematically searched from inception to March 21st, 2018. International guidelines covering the treatment of mixed episodes, manic/hypomanic, or depressive episodes with mixed features were considered for inclusion. A methodological quality assessment was conducted with the Appraisal of Guidelines for Research and Evaluation-AGREE II.

RESULTS

The final selection yielded six articles. Despite their heterogeneity, all guidelines agreed in interrupting an antidepressant monotherapy or adding mood-stabilizing medications. Olanzapine seemed to have the best evidence for acute mixed hypo/manic/depressive states and maintenance treatment. Aripiprazole and paliperidone were possible alternatives for acute hypo/manic mixed states. Lurasidone and ziprasidone were useful in acute mixed depression. Valproate was recommended for the prevention of new mixed episodes while lithium and quetiapine in preventing affective episodes of all polarities. Clozapine and electroconvulsive therapy were effective in refractory mixed episodes. The AGREE II overall assessment rate ranged between 42% and 92%, indicating different quality level of included guidelines.

CONCLUSION

The unmet needs for the mixed symptoms treatment were associated with diagnostic issues and limitations of previous research, particularly for maintenance treatment.

Does metabolic syndrome or its component factors alter the course of bipolar disorder? A systematic review

Metabolic syndrome (MetS) and its component factors, obesity, hypertension, dyslipidaemia and insulin resistance, have shown a bidirectional relationship with the prevalence and severity of bipolar disorder (BD). A systematic search of electronic databases (Pubmed, PsycINFO, clinicaltrials.gov) was conducted to explore and integrate current evidence about the role of MetS and its component factors with clinical outcomes of BD. Thirty-four articles met the inclusion criteria. Studies were grouped by the metabolic factors assessed, which included MetS, obesity and body mass index (BMI), dyslipidaemia, impaired glucose metabolism (IGM), diabetes mellitus and hypertension. They were then classified according to outcomes such as course of episodes, rapid cycling, suicidal behavior, treatment response, and global and cognitive functioning. Although current evidence remains controversial in most aspects of clinical outcomes, metabolic risk factors could alter the course of BD, with worse global functioning, poorer treatment response and a chronic course of illness, as well as enhancing rapid cycling. Further research is needed to elucidate the role of each risk factor in the mentioned outcomes.

Patterns of response to antidepressants in major depressive disorder: Drug resistance or worsening of depression are associated with a bipolar diathesis

Resistance and worsening of depression in response to antidepressants (ADs) are major clinical challenges. In a large international sample of patients with major depressive disorder (MDD), we aim to explore the possible associations between different patterns of response to ADs and bipolarity. A total of 2811 individuals with a major depressive episode (MDE) were enrolled in the BRIDGE-II-MIX study. This post-hoc analysis included only 1329 (47%) patients suffering from MDD. Patients with (TRD-MDD, n = 404) and without (NTRD-MDD, n = 925) history of resistance to AD treatment and with (n = 184) and without (n = 1145) previous AD-induced irritability and mood lability (AIM) were compared using Chi-square, t-Student's test and logistic regression models. TRD-MDD patients resulted significantly associated with higher rates of AIM, psychotic features, history of suicide attempts, emotional lability and impulsivity, comorbid borderline personality disorder and polipharmacological treatment, compared to NTRD-MDD group. In comparison to NAIM-MDD patients, subjects in the AIM-MDD group showed significantly higher rates of first-degree family history for BD, previous TRD, atypical features, mixed features, psychiatric comorbidities, lifetime suicide attempts and lower age at first psychiatric symptoms. In addition, patients with AIM presented more often almost all the hypomanic symptoms evaluated in this study. Among these latter symptoms, logistic regressions showed that distractibility, impulsivity and hypersexuality were significantly associated with AIM-MDD. In conclusion, in MDD patients, a lifetime history of resistance and/or irritability/mood lability in response to ADs was associated with the presence of mixed features and a possible underlying bipolar diathesis.

Unravelling potential severe psychiatric repercussions on healthcare professionals during the COVID-19 crisis

The coronavirus disease 2019 (COVID-19) outbreak is putting healthcare professionals, especially those in the frontline, under extreme pressures, with a high risk of experiencing physical exhaustion, psychological disturbances, stigmatization, insomnia, depression and anxiety. We report the case of a general practitioner, without relevant somatic or psychiatric history that experienced a "brief reactive psychosis (298.8)" under stressful circumstances derived from COVID-19. She presented with delusional ideas of catastrophe regarding the current pandemic situation, delusions of self-reference, surveillance and persecution, with high affective and behavioural involvement. Physical examination and all further additional investigations did not reveal any secondary causes. She was administered olanzapine 10 mg with significant psychopathological improvement being later discharged with indications to maintain the treatment. To our knowledge this is the first reported case of severe mental illness in a healthcare professional without previous psychiatric history due to COVID-19 outbreak. Around 85% of patients presenting a brief psychotic disorder will develop a potentially disabling serious psychotic illness in the long-term. This case represents the potentially serious mental health consequences on healthcare professionals throughout the COVID-19 crisis and emphasizes the need to implement urgent measures to maintain staff mental health during the current pandemic.

Risk of cancer in bipolar disorder and the potential role of lithium: International collaborative systematic review and meta-analyses

We examined bipolar disorder (BD) as a risk factor for developing cancer and the role of lithium on cancer incidence. We conducted two systematic review and meta-analyses of population-based studies providing data on these associations. We screened articles indexed in MEDLINE, Scopus, Embase, and PsycINFO up to August 2020. The first random-effects meta-analysis, based on 4,910,661 individuals from nine studies estimated an increased risk of cancer of any kind [RR = 1.24 (1.05-1.46); p < 0.01], especially breast cancer [RR = 1.33 (1.15-1.55); p < 0.01] in BD. The second random-effects meta-analysis, based on 2,606,187 individuals from five studies did not show increased risk of cancer in people with BD using lithium, and even suggested a small protective effect both in overall [RR = 0.94 (0.72-1.22); p = 0.66] and urinary cancer [RR = 0.93 (0.75-1.14); p = 0.48] although these findings did not reach statistical significance. The current evidence highlights that cancer risk is increased in individuals with BD, particularly breast cancer in women. Lithium may have a potential protective effect on cancer, including urinary cancer. The role of lithium as a mainstay of treatment for BD is reinforced by this study.

Physical and mental health impact of COVID-19 on children, adolescents, and their families: The Collaborative Outcomes study on Health and Functioning during Infection Times - Children and Adolescents (COH-FIT-C&A)

BACKGROUND

The COVID-19 pandemic has altered daily routines and family functioning, led to closing schools, and dramatically limited social interactions worldwide. Measuring its impact on mental health of vulnerable children and adolescents is crucial.

METHODS

The Collaborative Outcomes study on Health and Functioning during Infection Times (COH-FIT - www.coh-fit.com) is an on-line anonymous survey, available in 30 languages, involving >230 investigators from 49 countries supported by national/international professional associations. COH-FIT has thee waves (until the pandemic is declared over by the WHO, and 6-18 months plus 24-36 months after its end). In addition to adults, COH-FIT also includes adolescents (age 14-17 years), and children (age 6-13 years), recruited via non-probability/snowball and representative sampling and assessed via self-rating and parental rating. Non-modifiable/modifiable risk factors/treatment targets to inform prevention/intervention programs to promote health and prevent mental and physical illness in children and adolescents will be generated by COH-FIT. Co-primary outcomes are changes in well-being (WHO-5) and a composite psychopathology P-Score. Multiple behavioral, family, coping strategy and service utilization factors are also assessed, including functioning and quality of life.

RESULTS

Up to June 2021, over 13,000 children and adolescents from 59 countries have participated in the COH-FIT project, with representative samples from eleven countries.

LIMITATIONS

Cross-sectional and anonymous design.

CONCLUSIONS

Evidence generated by COH-FIT will provide an international estimate of the COVID-19 effect on children's, adolescents' and families', mental and physical health, well-being, functioning and quality of life, informing the formulation of present and future evidence-based interventions and policies to minimize adverse effects of the present and future pandemics on youth.

Predictors of Length of Stay in an Inpatient Psychiatric Unit of a General Hospital in Perugia, Italy

The aim of this study was to understand which of a number of factors are most associated with psychiatric inpatient length of stay (LoS). We hypothesized that a longer LoS would be predicted by: older age, male gender, unmarried marital status, foreign nationality, more than one hospitalization, being hospitalized involuntarily, psychotic symptoms and behavioral dyscontrol at admission, discharge diagnosis of psychotic and personality disorders, not having a substance use disorder, treatment with more than one class of medications, and being discharged to a community residential facility. All admissions to the Psychiatric Inpatient Unit of Santa Maria della Misericordia, Perugia Hospital, Umbria, Italy, from June 2011 to June 2014, were included in a medical record review. Bivariate analyses were performed and a multiple linear regression model was built using variables that were associated (p < .05) with LoS in bivariate tests. The study sample included 1236 patients. In the final, most parsimonious regression model, five variables independently explained 18 % of variance in LoS: being admitted involuntarily, being admitted for thought disorders, not having a substance-related disorder, having had more than one hospitalization, and being discharged to a community residential facility. LoS on this inpatient psychiatric unit in Umbria was associated with a number of sociodemographic and clinical characteristics. Knowledge of these and other predictors of LoS will be increasingly important to, when possible, reduce the length of restrictive, costly hospitalizations and embrace community-based services.

Aggressiveness in depression: a neglected symptom possibly associated with bipolarity and mixed features

OBJECTIVE

To evaluate aggressiveness during a major depressive episode (MDE) and its relationship with bipolar disorder (BD) in a post hoc analysis of the BRIDGE-II-MIX study.

METHOD

A total of 2811 individuals were enrolled in this multicenter cross-sectional study. MDE patients with (MDE-A, n = 399) and without aggressiveness (MDE-N, n = 2412) were compared through chi-square test or Student's t-test. A stepwise backward logistic regression model was performed.

RESULTS

MDE-A group was more frequently associated with BD (P < 0.001), while aggressiveness was negatively correlated with unipolar depression (P < 0.001). At the logistic regression, aggressiveness was associated with the age at first depressive episode (P < 0.001); the severity of mania (P = 0.03); the diagnosis of BD (P = 0.001); comorbid borderline personality disorder (BPD) (P < 0.001) but not substance abuse (P = 0.63); no current psychiatric treatment (P < 0.001); psychotic symptoms (P = 0.007); the marked social/occupational impairment (P = 0.002). The variable most significantly associated with aggressiveness was the presence of DSM-5 mixed features (P < 0.001, OR = 3.815). After the exclusion of BPD, the variable of lifetime suicide attempts became significant (P = 0.013, OR = 1.405).

CONCLUSION

Aggressiveness seems to be significantly associated with bipolar spectrum disorders, independently from BPD and substance abuse. Aggressiveness should be considered as a diagnostic criterion for the mixed features specifier and a target of tailored treatment strategy.

Depressive mood and circadian rhythms disturbances as outcomes of seasonal affective disorder treatment: A systematic review

BACKGROUND

The present systematic review was aimed at critically summarizing the evidence about interventions focused on circadian rhythms and mood symptoms in seasonal affective disorder (SAD).

METHODS

A systematic search of the electronic databases PUBMED, PsycINFO and Web of Science was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Original papers reporting data about the effects of treatments on both mood and circadian rhythms disturbances in SAD patients were considered for inclusion. The quality of the evidence provided by the eligible studies was assessed using the Revised Cochrane Risk of Bias Tool (RoB 2.0) and the Cochrane Risk of Bias in Non-Randomized Studies of Interventions Tool (ROBINS-I).

RESULTS

Forty papers were deemed eligible for the systematic review. The evidence of treatment outcomes referring to circadian disturbances was not robust. Despite this, bright light therapy (BLT) demonstrates to phase-advance delayed rhythms and to improve sleep-wake disorders. As for mood symptoms, both BLT and selective serotonin reuptake inhibitors (SSRIs) show evidence of efficacy. The possible connection between improvements of mood symptoms and changes in circadian outcomes seems controversial.

LIMITATIONS

The included studies presented considerable methodological heterogeneity, small sample sizes and non-optimal sample selection.

CONCLUSIONS

The effectiveness of BLT in depressive symptoms and circadian disturbances of SAD was outlined by the present systematic review. The evidence about other biological and pharmacological treatments, although promising, should be replicated. A multifactorial etiopathogenesis could explain the heterogeneous clinical presentations of SAD and the complex link between mood and circadian symptoms.

Long-term treatment of bipolar disorder type I: A systematic and critical review of clinical guidelines with derived practice algorithms

OBJECTIVES

This systematic review aimed at providing a critical, comprehensive synthesis of international guidelines' recommendations on the long-term treatment of bipolar disorder type I (BD-I).

METHODS

MEDLINE/PubMed and EMBASE databases were searched from inception to January 15th, 2019 following PRISMA and PICAR rules. International guidelines providing recommendations for the long-term treatment of BD-I were included. A methodological quality assessment was conducted with the Appraisal of Guidelines for Research and Evaluation-AGREE II.

RESULTS

The final selection yielded five international guidelines, with overall good quality. The evaluation of applicability was the weakest aspect across the guidelines. Differences in their updating strategies and the rating of the evidence, particularly for meta-analyses, randomized clinical trials (RCTs) and observational studies, could be responsible of some level of heterogeneity among recommendations. Nonetheless, the guidelines recommended lithium as the 'gold standard' in the long-term treatment of BD-I. Quetiapine was another possible first-line option as well as aripiprazole (for the prevention of mania). Long-term treatment should contemplate monotherapy, at least initially. Clinicians should check regularly for efficacy and side effects and if necessary, switch to first-line alternatives (i.e. Valproate), combine first-line compounds with different mechanisms of action or switch to second-line options or combinations.

CONCLUSIONS

The possibility to monitor improvements in long-term outcomes, namely relapse prevention and inter-episode subthreshold depressive symptoms, based on the application of their recommendations is an unmet need of clinical guidelines. In terms of evidence of clinical guidelines, there is a need for more efficacious treatment strategies for the prevention of bipolar depression.

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

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

Symptom networks in acute depression across bipolar and major depressive disorders: A network analysis on a large, international, observational study

Major Depressive Episode (MDE) is a transdiagnostic nosographic construct straddling Major Depressive (MDD) and Bipolar Disorder (BD). Prognostic and treatment implications warrant a differentiation between these two disorders. Network analysis is a novel approach that outlines symptoms interactions in psychopathological networks. We investigated the interplay among depressive and mixed symptoms in acutely depressed MDD/BD patients, using a data-driven approach. We analyzed 7 DSM-IV-TR criteria for MDE and 14 researched-based criteria for mixed features (RBDC) in 2758 acutely depressed MDD/BD patients from the BRIDGE-II-Mix study. The global network was described in terms of symptom thresholds and symptom centrality. Symptom endorsement rates were compared across diagnostic subgroups. Subsequently, MDD/BD differences in symptom-network structure were examined using permutation-based network comparison test. Mixed symptoms were the most central and highly interconnected nodes in the network, particularly agitation followed by irritability. Despite mixed symptoms, appetite gain and hypersomnia were significantly more endorsed in BD patients, associations between symptoms were highly correlated across MDD/BD (Spearman's r = 0.96, p<0.001). Network comparison tests showed no significant differences among MDD/BD in network strength, structure, or specific edges, with strong edges correlations (0.66-0.78). Upstream differences in MDD/BD may produce similar symptoms networks downstream during acute depression. Yet, mixed symptoms, appetite gain and hypersomnia are associated to BD rather than MDD. Symptoms during mixed-MDE might aggregate according to 2 different clusters, suggesting a possible stratification within mixed states. Future symptom-based studies should implement clinical, longitudinal, and biological factors, in order to establish tailored therapeutic strategies for acute depression.

Trajectories of suicidal ideation after first-episode psychosis: a growth mixture modeling approach

OBJECTIVE

The period immediately after the onset of first-episode psychosis (FEP) may present with high risk for suicidal ideation (SI) and attempts, although this risk may differ among patients. Thus, we aimed to identify trajectories of SI in a 2-years follow-up FEP cohort and to assess baseline predictors and clinical/functional evolution for each trajectory of SI.

METHODS

We included 334 FEP participants with data on SI. Growth mixture modeling was used to identify trajectories of SI. Putative sociodemographic, clinical, and cognitive predictors of the distinct trajectories were examined using multinomial logistic regression.

RESULTS

We identified three distinct trajectories: Non-SI trajectory (85.53% sample), Improving SI trajectory (9.58%), and Worsening SI trajectory (6.89%). Multinomial logistic regression model revealed that greater baseline pessimistic thoughts, anhedonia, and worse perceived family environment were associated with higher baseline SI followed by an Improving trajectory. Older age, longer duration of untreated psychosis, and reduced sleep predicted Worsening SI trajectory. Regarding clinical/functional evolution, individuals within the Improving SI trajectory displayed moderate depression at baseline which ameliorated during the study period, while the Worsening SI subgroup exhibited persistent mild depressive symptoms and greater functional impairment at follow-up assessments.

CONCLUSION

Our findings delineated three distinct trajectories of SI among participants with FEP, one experiencing no SI, another in which SI might depend on acute depressive symptomatology, and a last subset where SI might be associated with mild but persistent clinical and functional impairments. These data provide insights for the early identification and tailored treatment of suicide in this at-risk population.

Lithium therapy and weight change in people with bipolar disorder: A systematic review and meta-analysis

Lithium remains the gold standard maintenance treatment for Bipolar Disorder (BD). However, weight gain is a side effect of increasing relevance due to its metabolic implications. We conducted a systematic review and meta-analysis aimed at summarizing evidence on the use of lithium and weight change in BD. We followed the PRISMA methodology, searching Pubmed, Scopus and Web of Science. From 1003 screened references, 20 studies were included in the systematic review and 9 included in the meta-analysis. In line with the studies included in the systematic review, the meta-analysis revealed that weight gain with lithium was not significant, noting a weight increase of 0.462 Kg (p = 0158). A shorter duration of treatment was significantly associated with more weight gain. Compared to placebo, there were no significant differences in weight gain. Weight gain was significantly lower with lithium than with active comparators. This work reveals a low impact of lithium on weight change, especially compared to some of the most widely used active comparators. Our results could impact clinical decisions.

Mixed Features in Depression: The Unmet Needs of Diagnostic and Statistical Manual of Mental Disorders Fifth Edition

The Diagnostic and Statistical Manual of Mental Disorders Fifth Edition introduced the specifier "with mixed features" including 3 or more nonoverlapping typical manic symptoms during a major depressive episode in bipolar disorder type I or II or unipolar major depressive disorder. Excluding overlapping excitatory symptoms, which are frequently observed in mixed depression, leaves many patients with mixed depression undiagnosed. As a consequence, alternative diagnostic criteria have been proposed, claiming for the inclusion in the rubric of mixed features the following symptoms: psychomotor agitation, mood lability, and aggressiveness. A deeper diagnostic reconsideration of mixed features in depression should be provided by the new nosologic classification systems.

The implications of hypersomnia in the context of major depression: Results from a large, international, observational study

According to the DSM-5, "reduction in the need for sleep" is the only sleep-related criteria for mixed features in depressive episodes. We aimed at studying the prevalence, clinical correlates and the role of hypersomnia in a sample of acutely depressed patients. Secondarily, we factors significantly increasing the odds of hypersomnia were studied. We conducted a post-hoc analysis of the BRIDGE-II-Mix study. Variables were compared between patients with hypersomnia (SLEEP+) and with insomnia (SLEEP-) with standard bivariate tests. A stepwise backward logistic regression model was performed with SLEEP+ as dependent variable. A total of 2514 subjects were dichotomized into SLEEP+ (n = 423, 16.8%) and SLEEP- (n = 2091, 83.2%). SLEEP+ had significant higher rates of obese BMI (p < 0.001), BD diagnosis (p = 0.027), severe BD (p < 0.001), lifetime suicide attempts (p < 0.001), lower age at first depression (p = 0.004) than SLEEP-. Also, SLEEP+ had significantly poorer response to antidepressants (AD) such as (hypo)manic switches, AD resistance, affective lability, or irritability (all 0<0.005). Moreover, SLEEP+ had significantly higher rates of mixed-state specifiers than SLEEP- (all 0 < 0.006). A significant contribution to hypersomnia in our regression model was driven by metabolic-related features, such as "current bulimia" (OR = 4.21) and "overweight/obese BMI (OR = 1.42)". Globally, hypersomnia is associated with poor outcome in acute depression. Hypersomnia is strongly associated with mixed features and bipolarity. Metabolic aspects could influence the expression of hypersomnia, worsening the overall clinical outcome. Along with commonly used screening tools, detection of hypersomnia has potential, costless discriminative validity in the differential diagnosis unipolar and bipolar depression.

Identifying clinical clusters with distinct trajectories in first-episode psychosis through an unsupervised machine learning technique

The extreme variability in symptom presentation reveals that individuals diagnosed with a first-episode psychosis (FEP) may encompass different sub-populations with potentially different illness courses and, hence, different treatment needs. Previous studies have shown that sociodemographic and family environment factors are associated with more unfavorable symptom trajectories. The aim of this study was to examine the dimensional structure of symptoms and to identify individuals' trajectories at early stage of illness and potential risk factors associated with poor outcomes at follow-up in non-affective FEP. One hundred and forty-four non-affective FEP patients were assessed at baseline and at 2-year follow-up. A Principal component analysis has been conducted to identify dimensions, then an unsupervised machine learning technique (fuzzy clustering) was performed to identify clinical subgroups of patients. Six symptom factors were extracted (positive, negative, depressive, anxiety, disorganization and somatic/cognitive). Three distinct clinical clusters were determined at baseline: mild; negative and moderate; and positive and severe symptoms, and five at follow-up: minimal; mild; moderate; negative and depressive; and severe symptoms. Receiving a low-dose antipsychotic, having a more severe depressive symptomatology and a positive family history for psychiatric disorders were risk factors for poor recovery, whilst having a high cognitive reserve and better premorbid adjustment may confer a better prognosis. The current study provided a better understanding of the heterogeneous profile of FEP. Early identification of patients who could likely present poor outcomes may be an initial step for the development of targeted interventions to improve illness trajectories and preserve psychosocial functioning.

The collaborative outcomes study on health and functioning during infection times in adults (COH-FIT-Adults): Design and methods of an international online survey targeting physical and mental health effects of the COVID-19 pandemic

BACKGROUND

. High-quality comprehensive data on short-/long-term physical/mental health effects of the COVID-19 pandemic are needed.

METHODS

. The Collaborative Outcomes study on Health and Functioning during Infection Times (COH-FIT) is an international, multi-language (n=30) project involving >230 investigators from 49 countries/territories/regions, endorsed by national/international professional associations. COH-FIT is a multi-wave, on-line anonymous, cross-sectional survey [wave 1: 04/2020 until the end of the pandemic, 12 months waves 2/3 starting 6/24 months threreafter] for adults, adolescents (14-17), and children (6-13), utilizing non-probability/snowball and representative sampling. COH-FIT aims to identify non-modifiable/modifiable risk factors/treatment targets to inform prevention/intervention programs to improve social/health outcomes in the general population/vulnerable subgrous during/after COVID-19. In adults, co-primary outcomes are change from pre-COVID-19 to intra-COVID-19 in well-being (WHO-5) and a composite psychopathology P-Score. Key secondary outcomes are a P-extended score, global mental and physical health. Secondary outcomes include health-service utilization/functioning, treatment adherence, functioning, symptoms/behaviors/emotions, substance use, violence, among others.

RESULTS

. Starting 04/26/2020, up to 14/07/2021 >151,000 people from 155 countries/territories/regions and six continents have participated. Representative samples of ≥1,000 adults have been collected in 15 countries. Overall, 43.0% had prior physical disorders, 16.3% had prior mental disorders, 26.5% were health care workers, 8.2% were aged ≥65 years, 19.3% were exposed to someone infected with COVID-19, 76.1% had been in quarantine, and 2.1% had been COVID 19-positive.

LIMITATIONS

. Cross-sectional survey, preponderance of non-representative participants.

CONCLUSIONS

. Results from COH-FIT will comprehensively quantify the impact of COVID-19, seeking to identify high-risk groups in need for acute and long-term intervention, and inform evidence-based health policies/strategies during this/future pandemics.

Patient and physician perspectives of a smartphone application for depression: a qualitative study

BACKGROUND

Despite an increasing number of smartphone apps, such therapeutic tools have not yet consistently demonstrated their efficacy and many suffer from low retention rates. To ensure the development of efficient apps associated with high adherence, we aimed to identify, through a user-centred design approach, patient and physician expectations of a hypothetical app dedicated to depression.

METHODS

We conducted semi-structured interviews with physicians (psychiatrists and general practitioners) and patients who had experienced a major depressive episode during the last 12 months using the focus group method. The interviews were audio recorded, transcribed and analysed using qualitative content analysis to define codes, categories and emergent themes.

RESULTS

A total of 26 physicians and 24 patients were included in the study. The focus groups showed balanced sex and age distributions. Most participants owned a smartphone (83.3% of patients, 96.1% of physicians) and were app users (79.2% of patients and 96.1% of physicians). The qualitative content analysis revealed 3 main themes: content, operating characteristics and barriers to the use of the app. Expected content included the data collected by the app, aiming to provide information about the patient, data provided by the app, gathering psychoeducation elements, therapeutic tools and functionalities to help with the management of daily life and features expected for this tool. The "operating characteristics" theme gathered aims considered for the app, its potential target users, considered modalities of use and considerations around its accessibility and security of use. Finally, barriers to the use of the app included concerns about potential app users, its accessibility, safety, side-effects, utility and functioning. All themes and categories were the same for patients and physicians.

CONCLUSIONS

Physician and patient expectations of a hypothetical smartphone app dedicated to depression are high and confirmed the important role it could play in depression care. The key points expected by the users for such a tool are an easy and intuitive use and a personalised content. They are also waiting for an app that gives information about depression, offers a self-monitoring functionality and helps them in case of emergency.