Benefits of Sequentially Adding Cognitive-Behavioral Therapy or Antidepressant Medication for Adults With Nonremitting Depression

Factors influencing the tendency of residual symptoms in patients with depressive disorders: a longitudinal study

BACKGROUND

Residual symptoms of depressive disorders are serious health problems. However, the progression process is hardly predictable due to high heterogeneity of the disease. This study aims to: (1) classify the patterns of changes in residual symptoms based on homogeneous data, and (2) identify potential predictors for these patterns.

METHODS

In this study, we conducted a data-driven Latent Class Growth Analysis (LCGA) to identify distinct tendencies of changes in residual symptoms, which were longitudinally quantified using the QIDS-SR16 at baseline and 1/3/6 months post-baseline for depressed patients. The association between baseline characteristics (e.g. clinical features and cognitive functions) and different progression tendencies were also identified.

RESULTS

The tendency of changes in residual symptoms was categorized into four classes: "light residual symptom decline (15.4%)", "residual symptom disappears (39.3%)", "steady residual symptom (6.3%)" and "severe residual symptom decline (39.0%)". We observed that the second class displayed more favorable recuperation outcomes than the rest of patients. The severity, recurrence, polypharmacy, and medication adherence of symptoms are intricately linked to the duration of residual symptoms' persistence. Additionally, clinical characteristics including sleep disturbances, depressive moods, alterations in appetite or weight, and difficulties with concentration have been identified as significant factors in the recovery process.

CONCLUSIONS

Our research findings indicate that certain clinical characteristics in patients with depressive disorders are associated with poor recovery from residual symptoms following acute treatment. This revelation holds significant value in the targeted attention to specific patients and the development of early intervention strategies for residual symptoms accordingly.

Long-term survival following out-of-hospital cardiac arrest in women and men: Influence of comorbidities, social characteristics, and resuscitation characteristics

AIM

We aimed to study sex differences in long-term survival following out-of-hospital cardiac arrest (OHCA) compared to the general population, and determined associations for comorbidities, social characteristics, and resuscitation characteristics with survival in women and men separately.

METHODS

We followed 2,452 Danish (530 women and 1,922 men) and 1,255 Dutch (259 women and 996 men) individuals aged ≥25 years, who survived 30 days post-OHCA in 2009-2015, until 2019. Using Poisson regression analyses we assessed sex differences in long-term survival and sex-specific associations of characteristics mutually adjusted, and compared survival with an age- and sex-matched general population. The potential predictive value was assessed with the Concordance-index.

RESULTS

Post-OHCA survival was longer in women than men (adjusted incidence rate ratio (IRR) for mortality 0.74, 95%CI 0.61-0.89 in Denmark; 0.86, 95%CI 0.65-1.15 in the Netherlands). Both sexes had a shorter survival than the general population (e.g., IRR for mortality 3.07, 95%CI 2.55-3.70 and IRR 2.15, 95%CI 1.95-2.37 in Danish women and men). Higher age, glucose lowering medication, no dyslipidaemia medication, unemployment, and a non-shockable initial rhythm were associated with shorter survival in both sexes. Cardiovascular medication, depression/anxiety medication, living alone, low household income, and residential OHCA location were associated with shorter survival in men. Not living with children and bystander cardiopulmonary resuscitation provision were associated with shorter survival in women. The Concordance-indexes ranged from 0.51 to 0.63.

CONCLUSIONS

Women survived longer than men post-OHCA. Several characteristics were associated with long-term post-OHCA survival, with some sex-specific characteristics. In both sexes, these characteristics had low predictive potential.

Phase-Based Care in Community Mental Health: A Cost-Effective Innovation Using Algorithms, Rating Scales and Treatment Teams for Depression Management

This retrospective, observational report describes an innovative quality improvement process, Phase-based Care (PBC), that eliminated wait times and achieved positive clinical outcomes in a community mental health center's (CMHC) mood disorder clinic without adding staff. PBC accomplishes this by eliminating the ingrained cultural practice of routinely scheduling stable patients at rote intervals of 1-3 months, regardless of clinical need or medical necessity. Based on four organizational transformations and using mathematical algorithms developed for this process, PBC re-allocates therapy and medical resources away from routinely scheduled appointments and front-loads those resources to patients in an acute phase of illness. To maintain wellness for patients in recovery, lower frequency and intensity approaches are used. This report describes the development of the PBC methodology focusing on the Rapid Recovery Clinic (RRC) comprised of 182 patients with a primary diagnosis of a mood disorder, the largest of the 14 PBC clinics created. Over an 18-month period, wait times were reduced from several months to less than one week and recovery rates, meaning no longer in an acute phase, were 63% and 78% at weeks 6 and 12, respectively for patients who engaged in the program.

Duloxetine and cognitive behavioral therapy with phone-based support for the treatment of chronic musculoskeletal pain: study protocol of the PRECICE randomized control trial

BACKGROUND

Chronic musculoskeletal pain (CMP) is the most common, disabling, and costly of all pain conditions. While evidence exists for the efficacy of both duloxetine and web-based cognitive behavioral therapy (CBT) as monotherapy, there is a clear need to consider study of treatment components that may complement each other. In addition, given the reported association between patient's adherence and treatment outcomes, strategies are needed to enhance participant's motivation to adopt and maintain continued use of newly learned pain coping skills from CBT.

METHODS

Two hundred eighty participants will be recruited from the primary care clinics of a large academic health care system in North Carolina. Participants with CMP will be randomized to one of three treatment arms: (1) combination treatment (duloxetine + web-based self-guided CBT) with phone-based motivational interviewing (MI), (2) combination treatment without phone-based MI, and (3) duloxetine monotherapy. Participants will be in the study for 24 weeks and will be assessed at baseline, week 13, and week 25. The primary outcome is the Brief Pain Inventory (BPI)-Global Pain Severity score, which combines BPI pain severity and BPI pain interference. Secondary measures include between-group comparisons in mean BPI pain severity and BPI pain interference scores. Data collection and outcome assessment will be blinded to treatment group assignment.

DISCUSSION

This randomized controlled trial (RCT) will determine if combination treatment with duloxetine and web-based CBT is superior to duloxetine monotherapy for the management of CMP. Furthermore, this RCT will determine the effectiveness of phone-based motivational interviewing in promoting the continued practice of pain coping skills, thereby enhancing treatment outcomes.

TRIAL REGISTRATION

NCT04395001 ClinicalTrials.gov. Registered on May 15, 2020.

Duloxetine and Cognitive Behavioral Therapy with Phone-based Support for the Treatment of Chronic Musculoskeletal Pain: Study Protocol of the PRECICE Randomized Control Trial

Background

Chronic musculoskeletal pain (CMP) is the most common, disabling, and costly of all pain conditions. While evidence exists for the efficacy of both duloxetine and web-based cognitive behavioral therapy (CBT) as monotherapy, there is a clear need to consider study of treatment components that may complement each other. In addition, given the reported association between patient's adherence and treatment outcomes, strategies are needed to enhance participant's motivation to adopt and maintain continued use of newly learned pain coping skills from CBT.

Methods

Two hundred eighty participants will be recruited from the primary care clinics of a large academic health care system in North Carolina. Participants with CMP will be randomized to one of 3 treatment arms: (1) combination treatment (duloxetine + web-based self-guided CBT) with phone-based motivational interviewing (MI), (2) combination treatment without phone-based MI and (3) duloxetine monotherapy. Participants will be in the study for 24 weeks and will be assessed at baseline, week 13, and week 25. The primary outcome is the Brief Pain Inventory (BPI)-Global Pain Severity score, which combines BPI pain severity and BPI pain interference. Secondary measures include between-group comparisons in mean BPI pain severity and BPI pain interference scores. Data collection and outcome assessment will be blinded to treatment group assignment.

Discussion

This randomized controlled trial (RCT) will determine if combination treatment with duloxetine and web-based CBT is superior to duloxetine monotherapy for the management of CMP. Furthermore, this RCT will determine the effectiveness of phone-based motivational interviewing in promoting the continued practice of pain coping skills; thereby, enhancing treatment outcomes.

Trial Registration

NCT04395001. Registered in ClinicalTrials.gov on May 15, 2020.

Metabolomics Signatures of serotonin reuptake inhibitor (Escitalopram), serotonin norepinephrine reuptake inhibitor (Duloxetine) and Cognitive Behavior Therapy on Key Neurotransmitter Pathways in Major Depressive Disorder

Metabolomics provides powerful tools that can inform about heterogeneity in disease and response to treatments. In this study, we employed an electrochemistry-based targeted metabolomics platform to assess the metabolic effects of three randomly-assigned treatments: escitalopram, duloxetine, and Cognitive Behavior Therapy (CBT) in 163 treatment-naïve outpatients with major depressive disorder. Serum samples from baseline and 12 weeks post-treatment were analyzed using targeted liquid chromatography-electrochemistry for metabolites related to tryptophan, tyrosine metabolism and related pathways. Changes in metabolite concentrations related to each treatment arm were identified and compared to define metabolic signatures of exposure. In addition, association between metabolites and depressive symptom severity (assessed with the 17-item Hamilton Rating Scale for Depression [HRSD17]) and anxiety symptom severity (assessed with the 14-item Hamilton Rating Scale for Anxiety [HRSA14]) were evaluated, both at baseline and after 12 weeks of treatment. Significant reductions in serum serotonin level and increases in tryptophan-derived indoles that are gut bacterially derived were observed with escitalopram and duloxetine arms but not in CBT arm. These include indole-3-propionic acid (I3PA), indole-3-lactic acid (I3LA) and Indoxyl sulfate (IS), a uremic toxin. Purine-related metabolites were decreased across all arms. Different metabolites correlated with improved symptoms in the different treatment arms revealing potentially different mechanisms between response to antidepressant medications and to CBT.

Rumination-Focused Cognitive Behavioral Therapy Reduces Rumination and Targeted Cross-network Connectivity in Youth With a History of Depression: Replication in a Preregistered Randomized Clinical Trial

Background

Rumination-focused cognitive behavioral therapy (RF-CBT) is designed to reduce depressive rumination or the habitual tendency to dwell on experiences in a repetitive, negative, passive, and global manner. RF-CBT uses functional analysis, experiential exercises, and repeated practice to identify and change the ruminative habit. This preregistered randomized clinical trial (NCT03859297, R61) is a preregistered replication of initial work. We hypothesized a concurrent reduction of both self-reported rumination and cross-network connectivity between the left posterior cingulate cortex and right inferior frontal and inferior temporal gyri.

Methods

Seventy-six youths with a history of depression and elevated rumination were randomized to 10 to 14 sessions of RF-CBT (n = 39; 34 completers) or treatment as usual (n = 37; 28 completers). Intent-to-treat analyses assessed pre-post change in rumination response scale and in functional connectivity assessed using two 5 minute, 12 second runs of resting-state functional magnetic resonance imaging.

Results

We replicated previous findings: a significant reduction in rumination response scale and a reduction in left posterior cingulate cortex to right inferior frontal gyrus/inferior temporal gyrus connectivity in participants who received RF-CBT compared with those who received treatment as usual. Reductions were large (z change = 0.84; 0.73, respectively [ps < .05]).

Conclusions

This adolescent clinical trial further demonstrates that depressive rumination is a brain-based mechanism that is modifiable via RF-CBT. Here, we replicated that RF-CBT reduces cross-network connectivity, a possible mechanism by which rumination becomes less frequent, intense, and automatic. This National Institute of Mental Health-funded fast-fail study continues to the R33 phase during which treatment-specific effects of RF-CBT will be compared with relaxation therapy.

Development of a model to predict combined antidepressant medication and psychotherapy treatment response for depression among veterans

BACKGROUND

Although research shows that more depressed patients respond to combined antidepressants (ADM) and psychotherapy than either alone, many patients do not respond even to combined treatment. A reliable prediction model for this could help treatment decision-making. We attempted to create such a model using machine learning methods among patients in the US Veterans Health Administration (VHA).

METHODS

A 2018-2020 national sample of VHA patients beginning combined depression treatment completed self-report assessments at baseline and 3 months (n = 658). A learning model was developed using baseline self-report, administrative, and geospatial data to predict 3-month treatment response defined by reductions in the Quick Inventory of Depression Symptomatology Self-Report and/or in the Sheehan Disability Scale. The model was developed in a 70 % training sample and tested in the remaining 30 % test sample.

RESULTS

30.0 % of patients responded to treatment. The prediction model had a test sample AUC-ROC of 0.657. A strong gradient was found in probability of treatment response from 52.7 % in the highest predicted quintile to 14.4 % in the lowest predicted quintile. The most important predictors were episode characteristics (symptoms, comorbidities, history), personality/psychological resilience, recent stressors, and treatment characteristics.

LIMITATIONS

Restrictions in sample definition, a low recruitment rate, and reliance on patient self-report rather than clinician assessments to determine treatment response limited the generalizability of results.

CONCLUSIONS

A machine learning model could help depressed patients and providers predict likely response to combined ADM-psychotherapy. Parallel information about potential harms and costs of alternative treatments would be needed, though, to inform optimal treatment selection.

Shared and Unique Changes in Brain Connectivity Among Depressed Patients After Remission With Pharmacotherapy Versus Psychotherapy

OBJECTIVE

The authors sought to determine the shared and unique changes in brain resting-state functional connectivity (rsFC) between patients with major depressive disorder who achieved remission with cognitive-behavioral therapy (CBT) or with antidepressant medication.

METHODS

The Predictors of Remission in Depression to Individual and Combined Treatments (PReDICT) trial randomized adults with treatment-naive major depressive disorder to 12 weeks of treatment with CBT (16 1-hour sessions) or medication (duloxetine 30-60 mg/day or escitalopram 10-20 mg/day). Resting-state functional MRI scans were performed at baseline and at week 12. The primary outcome was change in the whole-brain rsFC of four seeded brain networks among participants who achieved remission.

RESULTS

Of the 131 completers with usable MRI data (74 female; mean age, 39.8 years), remission was achieved by 19 of 40 CBT-treated and 45 of 91 medication-treated patients. Three patterns of connectivity changes were observed. First, those who remitted with either treatment shared a pattern of reduction in rsFC between the subcallosal cingulate cortex and the motor cortex. Second, reciprocal rsFC changes were observed across multiple networks, primarily increases in CBT remitters and decreases in medication remitters. And third, in CBT remitters only, rsFC increased within the executive control network and between the executive control network and parietal attention regions.

CONCLUSIONS

Remission from major depression via treatment with CBT or medication is associated with changes in rsFC that are mostly specific to the treatment modality, providing biological support for the clinical practice of switching between or combining these treatment approaches. Medication is associated with broadly inhibitory effects. In CBT remitters, the increase in rsFC strength between networks involved in cognitive control and attention provides biological support for the theorized mechanism of CBT. Reducing affective network connectivity with motor systems is a shared process important for remission with both CBT and medication.

The psychedelic renaissance: the next trip for psychiatry?

The psychedelic research renaissance is gaining traction. Preliminary clinical studies of the hallucinogenic fungi, psilocybin, with psychological support, have indicated improvements in mood, anxiety and quality of life. A seminal, open-label study demonstrated marked reductions in depression symptoms in participants with treatment-resistant depression (TRD). The associated neurobiological processes involve alterations in brain connectivity, together with altered amygdala and default mode network activity. At the cellular level, psychedelics promote synaptogenesis and neural plasticity. Prompted by the promising preliminary studies, a randomized, double-blind trial has recently been launched across Europe and North America to investigate the efficacy of psilocybin in TRD. One of these centres is based in Ireland - CHO Area 7 and Tallaght University Hospital. The outcome of this trial will determine whether psilocybin with psychological support will successfully translate into the psychiatric clinic for the benefit of patients.

Which residual symptoms predict relapse after successful electroconvulsive therapy for late-life depression?

The risk of relapse following successful acute-phase treatment of late-life depression (LLD), including electroconvulsive therapy (ECT), is substantial. In order to improve reliable prediction of individuals' risk of relapse, we assessed the association between individual residual symptoms following a successful acute course of ECT for LLD and relapse at six-month follow-up. This prospective cohort study was part of the MODECT study, which included 110 patients aged 55 years and older with major depressive disorder. Participants who showed response to the index ECT course were monitored for relapse for six months. We used multivariable stepwise logistic regression models to assess the association between the scores on the 10 individual Montgomery-Åsberg Depression Rating Scale (MADRS) items at the end of the acute ECT course and relapse at six-month follow-up. Of the 80 responders with available six-month follow-up data (58.75% of which had psychotic features at baseline), 36.25% had relapsed. Higher scores on the MADRS items 'reduced sleep' (odds ratio (OR) = 2.03, 95% confidence interval (CI) = 1.11-3.69, p = 0.0214) and 'lassitude' (OR = 1.62, 95% CI = 1.00-2.62, p = 0.0497) at the end of the acute ECT course were significantly associated with increased risk of relapse at six-month follow-up. In conclusion, some residual depressive symptoms, including sleep disturbance and lassitude, may help better identify patients vulnerable to relapse following a successful acute course of ECT for LLD. If these findings can be replicated, studies assessing interventions that target specific residual symptoms may further reduce post-ECT depressive relapse rates.

Linking Primary Care Patients to Mental Health Care via Behavioral Health Social Workers: A Stepped-Wedge Study

OBJECTIVE

Demand for systematic linkage of patients to behavioral health care has increased because of the widespread implementation of depression screening. This study assessed the impact of deploying behavioral health social workers (BHSWs) in primary care on behavioral health visits for depression or anxiety.

METHODS

This quasi-experimental, stepped-wedge study included adults with a primary care visit between 2016 and 2019 at Cleveland Clinic, a large integrated health system. BHSWs were deployed in 40 practices between 2017 and 2019. Patients were allocated to a control group (diagnosed before BHSW deployment) and an intervention group (diagnosed after deployment). Data were collected on behavioral health visits (i.e., to therapists and psychiatrists) within 30 days of the diagnosis. Multilevel logistic regression models identified associations between BHSW deployment period and behavioral health visit, adjusted for demographic variables and clustering within each group.

RESULTS

Of 68,659 persons with a diagnosis, 21% had a depression diagnosis, 49% an anxiety diagnosis, and 31% both diagnoses. In the period after BHSW deployment, the proportion of patients with depression who had a behavioral health visit increased by 10 percentage points, of patients with anxiety by 9 percentage points, and of patients with both disorders by 11 percentage points. The adjusted odds of having a behavioral health visit was higher in the postdeployment period for patients with depression (adjusted odds ratio [AOR]=4.35, 95% confidence interval [CI]=3.50-5.41), anxiety (AOR=4.27, 95% CI=3.57-5.11), and both (AOR= 3.26, 95% CI=2.77-3.84).

CONCLUSIONS

Integration of BHSWs in primary care was associated with increased behavioral health visits.

Gut Microbiome-Linked Metabolites in the Pathobiology of Major Depression With or Without Anxiety—A Role for Bile Acids

Background

The gut microbiome may play a role in the pathogenesis of neuropsychiatric diseases including major depressive disorder (MDD). Bile acids (BAs) are steroid acids that are synthesized in the liver from cholesterol and further processed by gut-bacterial enzymes, thus requiring both human and gut microbiome enzymatic processes in their metabolism. BAs participate in a range of important host functions such as lipid transport and metabolism, cellular signaling and regulation of energy homeostasis. BAs have recently been implicated in the pathophysiology of Alzheimer's and several other neuropsychiatric diseases, but the biochemical underpinnings of these gut microbiome-linked metabolites in the pathophysiology of depression and anxiety remains largely unknown.

Method

Using targeted metabolomics, we profiled primary and secondary BAs in the baseline serum samples of 208 untreated outpatients with MDD. We assessed the relationship of BA concentrations and the severity of depressive and anxiety symptoms as defined by the 17-item Hamilton Depression Rating Scale (HRSD₁₇) and the 14-item Hamilton Anxiety Rating Scale (HRSA-Total), respectively. We also evaluated whether the baseline metabolic profile of BA informs about treatment outcomes.

Results

The concentration of the primary BA chenodeoxycholic acid (CDCA) was significantly lower at baseline in both severely depressed (log₂ fold difference (LFD) = −0.48; p = 0.021) and highly anxious (LFD = −0.43; p = 0.021) participants compared to participants with less severe symptoms. The gut bacteria-derived secondary BAs produced from CDCA such as lithocholic acid (LCA) and several of its metabolites, and their ratios to primary BAs, were significantly higher in the more anxious participants (LFD's range = [0.23, 1.36]; p's range = [6.85E-6, 1.86E-2]). The interaction analysis of HRSD₁₇ and HRSA-Total suggested that the BA concentration differences were more strongly correlated to the symptoms of anxiety than depression. Significant differences in baseline CDCA (LFD = −0.87, p = 0.0009), isoLCA (LFD = −1.08, p = 0.016) and several BA ratios (LFD's range [0.46, 1.66], p's range [0.0003, 0.049]) differentiated treatment failures from remitters.

Conclusion

In patients with MDD, BA profiles representing changes in gut microbiome compositions are associated with higher levels of anxiety and increased probability of first-line treatment failure. If confirmed, these findings suggest the possibility of developing gut microbiome-directed therapies for MDD characterized by gut dysbiosis.

Psychedelic assisted therapy for major depressive disorder: Recent work and clinical directions

Psychedelic substances such as psilocybin and ketamine may represent the future of antidepressant treatment, due to their rapid and prolonged effects on mood and cognition. The current body of psychedelic research has focused on administration and treatment within a psychiatric context. Here, instead, we put to the test the contention that it is necessary to evaluate the current state of this literature from a broader biopsychosocial perspective. Examining these arguably neglected social and psychological aspects of psychedelic treatment can provide a more holistic understanding of the interplay between the interconnected domains. This review of six major clinical trials applies a biopsychosocial model to evaluate the antidepressant effects of psilocybin and ketamine assisted therapy. We conclude that combination psychedelic treatment and psychotherapy facilitate more enduring and profound antidepressant effects than produced by ketamine or psilocybin alone. Emphasising the advantages of therapeutic intervention will encourage those who may attempt to self-medicate with psychedelics to instead seek a framework of psychological support, minimising associated risks of unregulated use.

Mechanisms and Methods to Understand Depressive Symptoms

Depressive symptoms, feelings of sadness, anger, and loss that interfere with a person's daily life, are prevalent health concerns across populations that significantly result in adverse health outcomes with direct and indirect economic burdens at a national and global level. This article aims to synthesize known mechanisms of depressive symptoms and the established and emerging methodologies used to understand depressive symptoms; implications and directions for future nursing research are discussed. A comprehensive search was performed by Cumulative Index to Nursing and Allied Health Literature, MEDLINE, and PUBMED databases between 2000-2021 to examine contributing factors of depressive symptoms. Many environmental, psychological, and physiological factors are associated with the development or increased severity of depressive symptoms (anhedonia, fatigue, sleep and appetite disturbances to depressed mood). This paper discusses biological and psychological theories that guide our understanding of depressive symptoms, as well as known biomarkers (gut microbiome, specific genes, multi-cytokine, and hormones) and established and emerging methods. Disruptions within the nervous system, hormonal and neurotransmitters levels, brain structure, gut-brain axis, leaky-gut syndrome, immune and inflammatory process, and genetic variations are significant mediating mechanisms in depressive symptomology. Nursing research and practice are at the forefront of furthering depressive symptoms' mechanisms and methods. Utilizing advanced technology and measurement tools (big data, machine learning/artificial intelligence, and multi-omic approaches) can provide insight into the psychological and biological mechanisms leading to effective intervention development. Thus, understanding depressive symptomology provides a pathway to improve patients' health outcomes, leading to reduced morbidity and mortality and the overall nation-wide economic burden.Supplemental data for this article is available online at https://doi.org/10.1080/01612840.2021.1998261 .

Smartphone Psychological Therapy During COVID-19: A Study on the Effectiveness of Five Popular Mental Health Apps for Anxiety and Depression

The aims of this study were to examine the effectiveness of a range of smartphone apps for managing symptoms of anxiety and depression and to assess the utility of a single-case research design for enhancing the evidence base for this mode of treatment delivery. The study was serendipitously impacted by the COVID-19 pandemic, which allowed for effectiveness to be additionally observed in the context of significant community distress. A pilot study was initially conducted using theSuperBetter app to evaluate the proposed methodology, which proved successful with the four finishing participants. In the main study, 39 participants commenced (27 females and 12 males,M_Age = 34.04 years,SD = 12.20), with 29 finishing the intervention phase and completing post-intervention measures. At 6-month follow-up, a further three participants could not be contacted. This study used a digitally enhanced, multiple baseline across-individuals single-case research design. Participants were randomly assigned to the following apps:SuperBetter (n = 8),Smiling Mind (n = 7),MoodMission (n = 8),MindShift (n = 8), andDestressify (n = 8). Symptomatology and life functioning were measured at five different time points: pre-baseline/screening, baseline, intervention, 3-week post-intervention, and 6-month follow-up. Detailed individual perceptions and subjective ratings of the apps were also obtained from participants following the study’s completion. Data were analyzed using visual inspection, time-series analysis, and methods of statistical and clinical significance. Positive results were observed for all apps. Overall, more favorable outcomes were achieved by younger participants, those concurrently undertaking psychotherapy and/or psychotropic medication, those with anxiety and mixed anxiety and depression rather than stand-alone depression, and those with a shorter history of mental illness. Outcomes were generally maintained at 6-month follow-up. It was concluded that a diverse range of evidence-based therapies offered via apps can be effective in managing mental health and improving life functioning even during times of significant global unrest and, like all psychotherapies, are influenced by client features. Additionally, this single-case research design is a low-cost/high value means of assessing the effectiveness of mental health apps.

Clinical Trial Registration: The study is registered with the Australian and New Zealand Clinical Trials Registry (ANZCTR), which is a primary registry in the World Health Organization Registry Network, registration number ACTRN12619001302145p (http://www.ANZCTR.org.au/ACTRN12619001302145p.aspx).

Evaluation of the Effect of Comprehensive Nursing in Psychotherapy of Patients with Depression

The purpose of this study is to understand the emotional experience and psychological intervention of patients with depression and to explore the intervention effect of nursing intervention in the psychological treatment of patients with depression, so as to provide clinical nursing work recommendations and provide reference for the implementation of intervention methods for patients with depression. In addition, through case analysis, this paper combines controlled trials to study the effect of comprehensive nursing in the psychotherapy of patients with depression and combines mathematical statistics to process data. Through the analysis of controlled trials, it can be known that on the basis of conventional medication, interventional guidance for patients with depression through comprehensive nursing programs can play an ideal effect in improving the depression of patients. Moreover, it can effectively improve the patient's quality of life after intervention and enhance the patient's nursing satisfaction.

Understanding complex functional wiring patterns in major depressive disorder through brain functional connectome

Brain function relies on efficient communications between distinct brain systems. The pathology of major depressive disorder (MDD) damages functional brain networks, resulting in cognitive impairment. Here, we reviewed the associations between brain functional connectome changes and MDD pathogenesis. We also highlighted the utility of brain functional connectome for differentiating MDD from other similar psychiatric disorders, predicting recurrence and suicide attempts in MDD, and evaluating treatment responses. Converging evidence has now linked aberrant brain functional network organization in MDD to the dysregulation of neurotransmitter signaling and neuroplasticity, providing insights into the neurobiological mechanisms of the disease and antidepressant efficacy. Widespread connectome dysfunctions in MDD patients include multiple, large-scale brain networks as well as local disturbances in brain circuits associated with negative and positive valence systems and cognitive functions. Although the clinical utility of the brain functional connectome remains to be realized, recent findings provide further promise that research in this area may lead to improved diagnosis, treatments, and clinical outcomes of MDD.

The D*Phase-study: study protocol for a pragmatic two-phased, randomised controlled (non-inferiority) trial that addresses treatment non-response and compares cognitive behavioural therapy and short-term psychodynamic supportive psychotherapy for major depression

BACKGROUND

Several evidence-based psychotherapeutic treatment options are available for depression, but the treatment results could be improved. The D*Phase study directly compares short-term psychodynamic supportive psychotherapy (SPSP) and cognitive behavioural therapy (CBT) for Major Depressive Disorder (MDD). The objectives are 1. to investigate if, from a group level perspective, SPSP is not inferior to CBT in the treatment of major depressive disorder, 2. to build a model that may help predict the optimal type of treatment for a specific individual; and 3. to determine whether a change of therapist or a change of therapist and treatment method are effective strategies to deal with non-response. Furthermore (4.), the effect of the therapeutic alliance, treatment integrity and therapist allegiance on treatment outcome will be investigated.

METHOD

In this pragmatic randomised controlled trial, 308 patients with a primary diagnosis of MDD are being recruited from a specialised mental health care institution in the Netherlands. In the first phase, patients are randomised 1:1 to either SPSP or CBT. In case of treatment non-response, a second phase follows in which non-responders from treatment phase one are randomised 1:1:1 to one of three groups: continuing the initial treatment with the same therapist, continuing the initial treatment with another therapist or continuing the other type of treatment with another therapist. In both treatment phases, patients are offered sixteen twice-weekly psychotherapy sessions. The primary outcome is an improvement in depressive symptoms. Process variables, working alliance and depressive symptoms, are frequently measured. Comprehensive assessments take place before the start of the first phase (at baseline), in week one, two and four during the treatment, and directly after the treatment (week eight).

DISCUSSION

While the naturalistic setting of the study involves several challenges, we expect, by focusing on a large and diverse number of research variables, to generate important knowledge that may help enhance the effect of psychotherapeutic treatment for MDD.

TRIAL REGISTRATION

The study was registered on 26 August 2016 with the Netherlands Trial Register, part of the Dutch Cochrane Centre (NL5753), https://www.trialregister.nl/trial/5753.

Sequential Combination of Pharmacotherapy and Psychotherapy in Major Depressive Disorder: A Systematic Review and Meta-analysis

IMPORTANCE

The sequential model emerged from the awareness that the persistence of residual symptoms and the frequent occurrence of psychiatric comorbidity were both associated with poor long-term outcome of major depressive disorder (MDD).

OBJECTIVE

To conduct an updated meta-analysis to examine the association of the sequential combination of pharmacotherapy and psychotherapy with reduced risk of relapse and recurrence in MDD.

DATA SOURCES

Keyword searches were conducted in PubMed, PsycInfo, Web of Science, and the Cochrane Library from inception of each database through November 2019. Reference lists from relevant studies were examined using the following keywords: sequential treatment, drugs and psychotherapy, combined treatment, continuation or maintenance, relapse or recurrence and prevention, and depress* or major depress*, selecting adults and randomized controlled trials as additional limits. Authors of selected articles were contacted if needed.

STUDY SELECTION

Randomized clinical trials examining the effectiveness of the sequential use of psychotherapy following response to acute-phase pharmacotherapy in the treatment of adult remitted patients with MDD were selected independently by 2 reviewers.

DATA EXTRACTION AND SYNTHESIS

The methods used fulfilled the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline. Data extraction and methodologic quality assessment were conducted independently by the reviewers. Examination of the pooled results was performed based on the random-effects model. Heterogeneity between study results and likelihood of significant publication bias were assessed. Sensitivity analyses and meta-regressions were also run.

MAIN OUTCOMES AND MEASURES

The primary outcome measures were relapse or recurrence rates of MDD, as defined by study investigators, at the longest available follow-up.

RESULTS

Seventeen randomized clinical trials met criteria for inclusion in the meta-analysis, with 1 study yielding 2 comparisons (2283 patients overall, with 1208 patients in a sequential treatment arm and 1075 in a control arm). The pooled risk ratio for relapse/recurrence of MDD was 0.84 (95% CI, 0.74-0.94), suggesting a relative advantage in preventing relapse/recurrence for the sequential combination of treatments compared with control conditions.

CONCLUSIONS AND RELEVANCE

The results of this systematic review and meta-analysis indicate that the sequential integration of psychotherapy following response to acute-phase pharmacotherapy, alone or combined with antidepressant medication, was associated with reduced risk of relapse and recurrence in MDD. The preventive value of the sequential strategy relies on abatement of residual symptoms and/or increase in psychological well-being. The steps for implementing the sequential approach in remitted patients with recurrent MDD are provided.

The 2020 Royal Australian and New Zealand College of Psychiatrists clinical practice guidelines for mood disorders

OBJECTIVES

To provide advice and guidance regarding the management of mood disorders, derived from scientific evidence and supplemented by expert clinical consensus to formulate s that maximise clinical utility.

METHODS

Articles and information sourced from search engines including PubMed, EMBASE, MEDLINE, PsycINFO and Google Scholar were supplemented by literature known to the mood disorders committee (e.g. books, book chapters and government reports) and from published depression and bipolar disorder guidelines. Relevant information was appraised and discussed in detail by members of the mood disorders committee, with a view to formulating and developing consensus-based recommendations and clinical guidance. The guidelines were subjected to rigorous consultation and external review involving: expert and clinical advisors, key stakeholders, professional bodies and specialist groups with interest in mood disorders.

RESULTS

The Royal Australian and New Zealand College of Psychiatrists mood disorders clinical practice guidelines 2020 (MDcpg²⁰²⁰) provide up-to-date guidance regarding the management of mood disorders that is informed by evidence and clinical experience. The guideline is intended for clinical use by psychiatrists, psychologists, primary care physicians and others with an interest in mental health care.

CONCLUSION

The MDcpg²⁰²⁰ builds on the previous 2015 guidelines and maintains its joint focus on both depressive and bipolar disorders. It provides up-to-date recommendations and guidance within an evidence-based framework, supplemented by expert clinical consensus.

MOOD DISORDERS COMMITTEE

Gin S Malhi (Chair), Erica Bell, Darryl Bassett, Philip Boyce, Richard Bryant, Philip Hazell, Malcolm Hopwood, Bill Lyndon, Roger Mulder, Richard Porter, Ajeet B Singh and Greg Murray.

Brief psychological treatments for emotional disorders in Primary and Specialized Care: A randomized controlled trial

Background/Objective Brief transdiagnostic psychotherapies are a possible treatment for emotional disorders. We aimed to determine their efficacy on mild/moderate emotional disorders compared with treatment as usual (TAU) based on pharmacological interventions. Method: This study was a single-blinded randomized controlled trial with parallel design of three groups. Patients (N = 102) were assigned to brief individual psychotherapy (n = 34), brief group psychotherapy (n = 34) or TAU (n = 34). Participants were assessed before and after the interventions with the following measures: PHQ-15, PHQ-9, PHQ-PD, GAD-7, STAI, BDI-II, BSI-18, and SCID. We conducted per protocol and intention-to-treat analyses. Results: Brief psychotherapies were more effective than TAU for the reduction of emotional disorders symptoms and diagnoses with moderate/high effect sizes. TAU was only effective in reducing depressive symptoms. Conclusions: Brief transdiagnostic psychotherapies might be the treatment of choice for mild/moderate emotional disorders and they seem suitable to be implemented within health care systems.

Relapse prevention in recurrent major depressive disorder. A comparison of different treatment options based on clinical experience and a critical review of the literature

BACKGROUND

Reducing the risk of relapses is a critical component of major depressive disorders treatment. Guidelines suggest maintenance with antidepressant drugs in recurrent depression, but this solution has recently been questioned.

OBJECTIVE

The aim of this article is to provide a critical review of the literature of the main treatment options currently available to prevent relapse and recurrence in depression.

METHODS

We compared long-term antidepressant therapy (i.e., indefinite maintenance of antidepressant), intermittent antidepressant therapy (i.e., use of antidepressants mainly limited to the acute phases), use of psychotherapy in the sequential model (i.e., pharmacotherapy in the acute phase and psychotherapy in the residual phase).

RESULTS

We argue that the same solution may not apply to all patients and question the feasibility of a single course of treatment in the setting of complex disorders that are encountered in practice. The clinician should weigh advantages and disadvantages in the individual case.

CONCLUSIONS

The sequential model appears to be particularly indicated in recurrent depression. KEY POINTS Relapse is a major challenge of depressive disorders treatment Treatment options currently available include long-term antidepressants, intermittent antidepressants, addition of psychotherapy to pharmacotherapy in the sequential model Maintenance with antidepressants in recurrent depression has recently been questioned The sequential model appears to be particularly indicated in recurrent depression.

Do Cognitive Therapy Skills Neutralize Lifetime Stress to Improve Treatment Outcomes in Recurrent Depression?

Cognitive therapy (CT) is an efficacious treatment for major depressive disorder (MDD), but not all patients respond. Past research suggests that stressful life events (SLE; e.g., childhood maltreatment, emotional and physical abuse, relationship discord, physical illness) sometimes reduce the efficacy of depression treatment, whereas greater acquisition and use of CT skills may improve patient outcomes. In a sample of 276 outpatient participants with recurrent MDD, we tested the hypothesis that patients with more SLE benefit more from CT skills in attaining response and remaining free of relapse/recurrence. Patients with more pretreatment SLE did not develop weaker CT skills, on average, but were significantly less likely to respond to CT. However, SLE predicted non-response only for patients with relatively weak skills, and not for those with stronger CT skills. Similarly, among acute-phase responders, SLE increased risk for MDD relapse/recurrence among patients with weaker CT skills. Thus, the combination of more SLE and weaker CT skills forecasted negative outcomes. These novel findings are discussed in the context of improving CT for depression among patients with greater lifetime history of SLE and require replication before clinical application.

The State of Our Understanding of the Pathophysiology and Optimal Treatment of Depression: Glass Half Full or Half Empty?

Major depressive disorder is a remarkably common and often severe psychiatric disorder associated with high levels of morbidity and mortality. Patients with major depression are prone to several comorbid psychiatric conditions, including posttraumatic stress disorder, anxiety disorders, obsessive-compulsive disorder, and substance use disorders, and medical conditions, including cardiovascular disease, diabetes, stroke, cancer, which, coupled with the risk of suicide, result in a shortened life expectancy. The goal of this review is to provide an overview of our current understanding of major depression, from pathophysiology to treatment. In spite of decades of research, relatively little is known about its pathogenesis, other than that risk is largely defined by a combination of ill-defined genetic and environmental factors. Although we know that female sex, a history of childhood maltreatment, and family history as well as more recent stressors are risk factors, precisely how these environmental influences interact with genetic vulnerability remains obscure. In recent years, considerable advances have been made in beginning to understand the genetic substrates that underlie disease vulnerability, and the interaction of genes, early-life adversity, and the epigenome in influencing gene expression is now being intensively studied. The role of inflammation and other immune system dysfunction in the pathogenesis of major depression is also being intensively investigated. Brain imaging studies have provided a firmer understanding of the circuitry involved in major depression, providing potential new therapeutic targets. Despite a broad armamentarium for major depression, including antidepressants, evidence-based psychotherapies, nonpharmacological somatic treatments, and a host of augmentation strategies, a sizable percentage of patients remain nonresponsive or poorly responsive to available treatments. Investigational agents with novel mechanisms of action are under active study. Personalized medicine in psychiatry provides the hope of escape from the current standard trial-and-error approach to treatment, moving to a more refined method that augurs a new era for patients and clinicians alike.

Outcomes of Online Mindfulness-Based Cognitive Therapy for Patients With Residual Depressive Symptoms: A Randomized Clinical Trial

Importance

Patients with residual depressive symptoms face a gap in care because few resources, to date, are available to manage the lingering effects of their illness.

Objective

To evaluate the effectiveness for treating residual depressive symptoms with Mindful Mood Balance (MMB), a web-based application that delivers mindfulness-based cognitive therapy, plus usual depression care compared with usual depression care only.

Design, Setting, and Participants

This randomized clinical trial was conducted in primary care and behavioral health clinics at Kaiser Permanente Colorado, Denver. Adults identified with residual depressive symptoms were recruited between March 2, 2015, and November 30, 2018. Outcomes were assessed for a 15-month period, comprising a 3-month intervention interval and a 12-month follow-up period.

Interventions

Patients were randomized to receive usual depression care (UDC; n = 230) or MMB plus UDC (n = 230), which included 8 sessions delivered online for a 3-month interval plus minimal phone or email coaching support.

Main Outcomes and Measures

Primary outcomes were reduction in residual depressive symptom severity, assessed using the Patient Health Questionaire-9 (PHQ-9); rates of depressive relapse (PHQ-9 scores ≥15); and rates of remission (PHQ-9 scores <5). Secondary outcomes included depression-free days, anxiety symptoms (General Anxiety Disorder-7 Item Scale), and functional status (12-Item Short Form Survey).

Results

Among 460 randomized participants (mean [SD] age, 48.30 [14.89] years; 346 women [75.6%]), data were analyzed for the intent-to-treat sample, which included 362 participants (78.7%) at 3 months and 330 (71.7%) at 15 months. Participants who received MMB plus UDC had significantly greater reductions in residual depressive symptoms than did those receiving UDC only (mean [SE] PHQ-9 score, 0.95 [0.39], P < .02). A significantly greater proportion of patients achieved remission in the MMB plus UDC group compared with the UDC only group (PHQ-9 score, <5: β [SE], 0.38 [0.14], P = .008), and rates of depressive relapse were significantly lower in the MMB plus UDC group compared with the UDC only group (hazard ratio, 0.61; 95% CI, 0.39-0.95; P < .03). Compared with the UDC only group, the MMB plus UDC group had decreased depression-free days (mean [SD], 281.14 [164.99] days vs 247.54 [158.32] days; difference, -33.60 [154.14] days; t = -2.33; P = .02), decreased anxiety (mean [SE] General Anxiety Disorder-7 Item Scale score, 1.21 [0.42], P = .004), and improved mental functioning (mean [SE] 12-Item Short Form Survey score, -5.10 [1.37], P < .001), but there was no statistically significant difference in physical functioning.

Conclusions and Relevance

Use of MMB plus UDC resulted in significant improvement in depression and functional outcomes compared with UDC only. The MMB web-based treatment may offer a scalable approach for the management of residual depressive symptoms.

Trial Registration

ClinicalTrials.gov identifier: NCT02190968.

Pharmacotherapeutic strategies for the treatment of anorexia nervosa - too much for one drug?

INTRODUCTION

Anorexia nervosa is a severe psychiatric illness and no medication has been approved for its treatment. This lack of biological treatments requires the development of new directions for pharmacological research.

AREAS COVERED

There is modest but emerging evidence that dopamine D2 and serotonin 1A and 2A receptor agonistic and antagonist medication might be beneficial for weight gain, although the underlying mechanisms are uncertain. Improving quality of life including treating comorbid conditions is an additional important outcome measure, but this has not been well researched. Biological and psychological risk factors together with neurobiological alterations during the illness maintain the disorder 's pathophysiology. Neuroscience research can be used to understand those interactions and advance the research agenda. The authors discuss the above as well as give perspectives on future research.

EXPERT OPINION

If a multidisciplinary approach that includes evidence-based psychotherapy shows unsatisfactory success in weight normalization and cognitive-emotional recovery, then more experimental treatments that are safe and have indicated treatment effectiveness should be tried to augment treatment. Identification and treatment of comorbid conditions to improve quality of life of the patient should also be part of the treatment regimen, even if the effect on weight gain is uncertain.

Mind-body treatments of irritable bowel syndrome symptoms: An updated meta-analysis

Irritable bowel syndrome (IBS) is a widespread chronic functional gastrointestinal (GI) disorder having bidirectional comorbidity with psychiatric disorders. This review focuses on psychological treatment of IBS, focusing on symptom severity rather than IBS diagnostic criteria. We chose this dimensional approach in order to assess mind-body effects as an alternative or complement to conventional medical treatment, which focuses on symptom relief. We calculated the effect sizes for various psychosocial-mind-body therapies (MBTs) for IBS symptoms in both children and adults. Therapies included meditation, relaxation, yoga, autogenic training, progressive relaxation, general training in stress coping, hypnotherapy, biofeedback, psycho-education, psychodynamic psychotherapy, and cognitive behavioral therapy. We performed a meta-regression analyses and mixed effects contrasts to find various outcome differences, and we analyzed their relative efficacy in both children and adults. We found 53 studies in 50 reports describing randomized controlled trials. Medium to high effect sizes were found across all methods compared with various controls, with possibly higher effects for children. We found no systematic differences among treatment methods. Meta-regression analyses showed no significant effect for the presence of psychophysiological training, meditation or explicit exposure procedures as treatment components, although most MBTs include exposure as a nonexplicit treatment characteristic, and many relaxation techniques have meditative characteristics. We conclude that there is considerable evidence that an array of mind-body and other psychological therapies can be effective complements to medical treatment for IBS symptom severity, with little evidence for relative superiority of any particular approach. We suggest that the various methods may operate through different mechanisms.

Recall accuracy for the symptoms of a major depressive episode among clinical trial participants

For patients with major depressive disorder (MDD), approaches to treatment differ for those with a single versus recurrent episodes. Based on studies of community samples, however, accuracy is low for identifying past episodes. Recall accuracy among clinical samples with a well-defined major depressive episode (MDE) has not been examined previously. We evaluated episode recall accuracy in 79 MDD patients in follow-up of the Predictors of Remission in Depression to Individual and Combined Treatments (PReDICT) study at 12- and 24-month time-points after starting treatment. Using the Structured Clinical Interview for DSM-IV, patients were asked to recall whether they had been experiencing the nine criterion symptoms of an MDE at the time of their intake assessment. Accuracy of recall for the index MDE was high, with 95% of patients at month 12 and 85% at month 24 recalling sufficient symptoms to meet the diagnostic criteria. Recall accuracy for specific symptoms varied considerably, from >90% for dysphoria and anhedonia, to 55% for psychomotor and weight/appetite changes. For the thoughts of death/suicide criterion, patients with erroneous recall were significantly more likely to recall having had the symptom at the intake evaluation (though they had denied it at the time) than vice versa (p < .007). Patients who have participated in a clinical trial are likely to recall accurately a past MDE up to two years prior. Optimal vigilance for suicidal ideation for treatment-naïve patients should include a combination of self-report and clinician assessments.