Identifying relapse predictors in individual participant data with decision trees.

BACKGROUND: Depression is a highly common and recurrent condition. Predicting who is at most risk of relapse or recurrence can inform clinical practice. Applying machine-learning methods to Individual Participant Data (IPD) can be promising to improve the accuracy of risk predictions. METHODS: Individual data of four Randomized Controlled Trials (RCTs) evaluating antidepressant treatment compared to psychological interventions with tapering ([Formula: see text]) were used to identify predictors of relapse and/or recurrence. Ten baseline predictors were assessed. Decision trees with and without gradient boosting were applied. To study the robustness of decision-tree classifications, we also performed a complementary logistic regression analysis. RESULTS: The combination of age, age of onset of depression, and depression severity significantly enhances the prediction of relapse risk when compared to classifiers solely based on depression severity. The studied decision trees can (i) identify relapse patients at intake with an accuracy, specificity, and sensitivity of about 55% (without gradient boosting) and 58% (with gradient boosting), and (ii) slightly outperform classifiers that are based on logistic regression. CONCLUSIONS: Decision tree classifiers based on multiple-rather than single-risk indicators may be useful for developing treatment stratification strategies. These classification models have the potential to contribute to the development of methods aimed at effectively prioritizing treatment for those individuals who require it the most. Our results also underline the existing gaps in understanding how to accurately predict depressive relapse.

Mediators of change in online mindfulness-based cognitive therapy: A secondary analysis of a randomized trial of mindful mood balance.

OBJECTIVE: Digital delivery of mindfulness-based cognitive therapy through the Mindful Mood Balance (MMB) program is clinically effective (Segal et al., 2020); however, the mechanisms through which this program delivers its benefits have not been established. METHOD: This study investigates the differential impact of the MMB program paired with usual depression care (UDC) compared to UDC alone on the putative targets of self-reported mindfulness, decentering, and rumination and the extent to which change in these targets mediates subsequent depressive relapse among a sample of predominantly White, female participants, with residual depressive symptoms. RESULTS: The MMB program relative to UDC was associated with a significantly greater rate of change in decentering (t = 4.94, p < .0001, d = 0.46), mindfulness (t = 6.04, p < .0001, d = 0.56), and rumination (t = 3.82, p < .0001, d = 0.36). Subsequent depressive relapse also was mediated by prior change in these putative targets, with a significant natural indirect effect for decentering, χ2(1) = 7.25, p < .008, OR = 0.57; mindfulness, χ2(1) = 9.99, p < .002, OR = 0.50; and rumination, χ2(1) = 12.95, p < .001, OR = 0.35. CONCLUSIONS: These findings suggest the mechanisms of MMB are consistent with the conceptual model for mindfulness-based cognitive therapy and depressive relapse risk and that such processes can be modified through digital delivery. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Preventing Depression Relapse: A Qualitative Study on the Need for Additional Structured Support Following Mindfulness-Based Cognitive Therapy.

Background: Mindfulness-based cognitive therapy (MBCT) is an effective group intervention for reducing rates of depression relapse. However, about one-third of graduates experience relapse within 1 year of completing the course. Objective: The current study aimed to explore the need and strategies for additional support following the MBCT course. Methods: We conducted 4 focus groups via videoconferencing, two with MBCT graduates (n = 9 in each group) and two with MBCT teachers (n = 9; n = 7). We explored participants' perceived need for and interest in MBCT programming beyond the core program and ways to optimize the long-term benefits of MBCT. We conducted thematic content analysis to identify patterns in transcribed focus group sessions. Through an iterative process, multiple researchers developed a codebook, independently coded the transcripts, and derived themes. Results: Participants said the MBCT course is highly valued and was, for some, "life changing." Participants also described challenges with maintaining MBCT practices and sustaining benefits after the course despite using a range of approaches (ie, community and alumni-based meditation groups, mobile applications, taking the MBCT course a second time) to maintain mindfulness and meditative practice. One participant described finishing the MBCT course as feeling like "falling off a cliff." Both MBCT graduates and teachers were enthusiastic about the prospect of additional support following MBCT in the form of a maintenance program. Conclusion: Some MBCT graduates experienced difficulty maintaining practice of the skills they learned in the course. This is not surprising given that maintained behavior change is challenging and difficulty sustaining mindfulness practice after a mindfulness-based intervention is not specific to MBCT. Participants shared that additional support following the MBCT program is desired. Therefore, creating an MBCT maintenance program may help MBCT graduates maintain practice and sustain benefits longer-term, thereby decreasing risk for depression relapse.

Dysfunctional Cortical Gradient Topography in Treatment-Resistant Major Depressive Disorder.

BACKGROUND: Treatment-resistant depression (TRD) refers to patients with major depressive disorder who do not remit after 2 or more antidepressant trials. TRD is common and highly debilitating, but its neurobiological basis remains poorly understood. Recent neuroimaging studies have revealed cortical connectivity gradients that dissociate primary sensorimotor areas from higher-order associative cortices. This fundamental topography determines cortical information flow and is affected by psychiatric disorders. We examined how TRD impacts gradient-based hierarchical cortical organization. METHODS: In this secondary study, we analyzed resting-state functional magnetic resonance imaging data from a mindfulness-based intervention enrolling 56 patients with TRD and 28 healthy control subjects. Using gradient extraction tools, baseline measures of cortical gradient dispersion within and between functional brain networks were derived, compared across groups, and associated with graph theoretical measures of network topology. In patients, correlation analyses were used to associate measures of cortical gradient dispersion with clinical measures of anxiety, depression, and mindfulness at baseline and following the intervention. RESULTS: Cortical gradient dispersion was reduced within major intrinsic brain networks in patients with TRD. Reduced cortical gradient dispersion correlated with increased network degree assessed through graph theory-based measures of network topology. Lower dispersion among default mode, control, and limbic network nodes related to baseline levels of trait anxiety, depression, and mindfulness. Patients' baseline limbic network dispersion predicted trait anxiety scores 24 weeks after the intervention. CONCLUSIONS: Our findings provide preliminary support for widespread alterations in cortical gradient architecture in TRD, implicating a significant role for transmodal and limbic networks in mediating depression, anxiety, and lower mindfulness in patients with TRD.

Mindfulness-based cognitive therapy vs. a health enhancement program for the treatment of late-life depression: Study protocol for a multi-site randomized controlled trial.

Background: Late-life depression (LLD) affects up to 18% of older adults and has been linked to elevated dementia risk. Mindfulness-based cognitive therapy (MBCT) holds promise for treating symptoms of depression and ameliorating cognitive deficits in older adults. While preliminary findings are promising, a definitive RCT investigating its effects on late life depression and cognition have not yet been conducted. We present a protocol describing a multi-site blinded randomized controlled trial, comparing the effects of MBCT and of an active control, a Health Enhancement Program (HEP), on depressive symptoms, executive functioning, and brain biomarkers of LLD, among several other exploratory outcomes. Methods: Two-hundred and thirteen (n = 213) patients with LLD will be recruited at various centers in Montreal, QC, Canada. Participants will undergo stratified randomization to either MBCT or HEP intervention groups. We will assess changes in (1) depression severity using the Hamilton Depression Rating Scale (HAM-D17), (2) processing speed and executive functioning, (3) brain biomarkers of LLD (hippocampal volume, default network resting-state functional connectivity and executive network resting-state functional connectivity), and (4) other exploratory physiological and mood-based measures, at baseline (0 weeks), post intervention (8 weeks), and 26 weeks after baseline. Discussion: The proposed study will assess the clinical potential of MBCT to improve symptoms of depression, as well as examine its impact on cognitive impairments and neurobiological markers, and thus inform its use as a promising adjunct in the treatment of LLD. Clinical trial registration: www.ClinicalTrials.gov, identifier: NCT05366088.

Self-critical perfectionism, dependency and entropy during cognitive behavioural therapy for depression.

OBJECTIVES: This study examined whether 'personality vulnerability' (i.e., self-critical perfectionism or dependency) predicts the trajectory of change, as well as variability and instability (i.e., entropy) of symptoms, during cognitive behaviour therapy (CBT) for depression. DESIGN: Study participants were outpatients (N = 312) experiencing a primary mood disorder. Participants received CBT for depression group sessions over 15 weeks. Self-report measures of self-critical perfectionism, dependency, and depression were collected longitudinally. METHODS: A latent growth mixture modelling (LGMM) statistical approach was used to evaluate the presence of latent classes of individuals based on their longitudinal pattern of symptom change during CBT and to evaluate whether baseline self-critical perfectionism or dependency predicts class membership. A Latent Acceleration Score (LAS) model evaluated whether perfectionism or dependency led to variability in depression symptom change (e.g., velocity) by considering changes in velocity (e.g., acceleration and/or deceleration). RESULTS: LGMM indicated the presence of two latent classes that represent symptom improvement (N = 239) or minimal symptom improvement over time (N = 73). Elevated baseline self-critical perfectionism, but not dependency, predicted a greater likelihood of membership in the class of participants who demonstrated minimal symptom improvement over time. The second analysis examined whether baseline self-critical perfectionism also predicts depression symptom variability and instability. The LAS perfectionism model demonstrated that perfectionism accelerates depression symptom change during the first seven sessions of treatment, then has a decelerating effect on depression symptom change. CONCLUSIONS: Results indicated that higher baseline self-critical perfectionism predicted higher variability and instability in depression symptoms and variability in acceleration and deceleration, over the course of treatment.

Static and treatment-responsive brain biomarkers of depression relapse vulnerability following prophylactic psychotherapy: Evidence from a randomized control trial.

BACKGROUND: Neural reactivity to dysphoric mood induction indexes the tendency for distress to promote cognitive reactivity and sensory avoidance. Linking these responses to illness prognosis following recovery from Major Depressive Disorder informs our understanding of depression vulnerability and provides engagement targets for prophylactic interventions. METHODS: A prospective fMRI neuroimaging design investigated the relationship between dysphoric reactivity and relapse following prophylactic intervention. Remitted depressed outpatients (N = 85) were randomized to 8 weeks of Cognitive Therapy with a Well-Being focus or Mindfulness Based Cognitive Therapy. Participants were assessed before and after therapy and followed for 2 years to assess relapse status. Neural reactivity common to both assessment points identified static biomarkers of relapse, whereas reactivity change identified dynamic biomarkers. RESULTS: Dysphoric mood induction evoked prefrontal activation and sensory deactivation. Controlling for past episodes, concurrent symptoms and medication status, somatosensory deactivation was associated with depression recurrence in a static pattern that was unaffected by prophylactic treatment, HR 0.04, 95% CI [0.01, 0.14], p < .001. Treatment-related prophylaxis was linked to reduced activation of the left lateral prefrontal cortex (LPFC), HR 3.73, 95% CI [1.33, 10.46], p = .013. Contralaterally, the right LPFC showed dysphoria-evoked inhibitory connectivity with the right somatosensory biomarker CONCLUSIONS: These findings support a two-factor model of depression relapse vulnerability, in which: enduring patterns of dysphoria-evoked sensory deactivation contribute to episode return, but vulnerability may be mitigated by targeting prefrontal regions responsive to clinical intervention. Emotion regulation during illness remission may be enhanced by reducing prefrontal cognitive processes in favor of sensory representation and integration.

Effectiveness and Cost-effectiveness of Online Brief Mindfulness-based Cognitive Therapy for the Improvement of Productivity in the Workplace: Study Protocol for a Randomized Controlled Trial.

BACKGROUND: Numerous studies have demonstrated the effectiveness of mindfulness-based programs (MBPs) among both clinical and nonclinical populations. These data document positive impacts in the workplace, including reducing perceived stress and burnout and increasing well-being. However, the effectiveness for productivity, which is of most interest to managers and administrators, is still unclear. In addition, MBPs in the workplace tend to be modified by reducing the number of the program sessions or delivering content online to improve accessibility. To date, however, the impact of MBPs that feature these modifications on productivity in the workplace has not been investigated. OBJECTIVE: The study aims to investigate the effectiveness and cost-effectiveness of online-delivered brief mindfulness-based cognitive therapy (bMBCT) for improving productivity and other work-related outcomes among healthy workers compared to the waitlist control. METHODS: We will conduct a 4-week randomized controlled trial (RCT) with a 6-month follow-up. Employees are included in the study if they (1) are between the ages of 20 and 65 years and (2) work longer than 30 hours weekly. Employees are randomly allocated to either the bMBCT group or the waitlist control group. The primary outcome of the study is the mean difference of productivity measured by the World Health Organization Health and Work Performance Questionnaire (WHO-HPQ) between the groups at 4, 16, and 28 weeks. Secondary outcomes include several clinical outcomes and health economics evaluation. RESULTS: We started recruiting participants in August 2021, and the intervention began in October 2021. A total of 104 participants have been enrolled in the study as of October 2021. The intervention is scheduled to be completed in December 2023. Data collection will be completed by the end of January 2024. CONCLUSIONS: The novelty of the study is that (1) it will investigate bMBCT's effectiveness on productivity, which is still unclear, and (2) samples are recruited from 3 companies in different industries. The limitations of the study are that (1) all measures assessed are in self-report format and (2) we lack an active control group. This study has the potential to provide new data on the relationship between MBPs and occupational health and productivity. TRIAL REGISTRATION: University Hospital Medical Information Network Clinical Trials Registry UMIN000044721; https://tinyurl.com/4e2fh873. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/36012.

Cost-Effectiveness of a Web-Based Program for Residual Depressive Symptoms: Mindful Mood Balance.

OBJECTIVE: Mindful Mood Balance (MMB) is an effective Web-based program for residual depressive symptoms that prevents relapse among patients with partial recovery from major depressive episodes. This cost-effectiveness analysis was conducted from the health plan perspective alongside a pragmatic randomized controlled trial of MMB. METHODS: Adults were recruited from behavioral health and primary care settings in a large integrated health system and randomly assigned to MMB plus usual depression care (MMB+UDC) or UDC. Patients had at least one prior major depressive episode; a current score of 5-9 on the Patient Health Questionnaire-9, indicating residual depressive symptoms; and Internet access. Program costs included recruitment, coaching, and MMB licensing. Center for Medicare and Medicaid fee schedules were applied to electronic health record utilization data for psychotropic medications and psychiatric and psychotherapy visits. Effectiveness was measured as depression-free days (DFDs), converted from PHQ-9 scores collected monthly for 1 year. Incremental cost-effectiveness ratios were calculated with various sets of cost inputs. RESULTS: A total of 389 patients (UDC, N=210; MMB+UDC, N=179) had adequate follow-up PHQ-9 measures for inclusion. MMB+UDC patients had 29 more DFDs during follow-up. Overall, the incremental cost of MMB+UDC was $431.54 over 12 months. Incremental costs per DFD gained ranged from $9.63 for program costs only to $15.04 when psychiatric visits, psychotherapy visits, and psychotropic medications were included. CONCLUSIONS: MMB offers a cost-effective Web-based program for reducing residual depressive symptoms and preventing relapse. Health systems should consider adopting MMB as adjunctive to traditional mental health care services.

Impact of online Mindfulness-Based Cognitive Therapy on suicidal ideation: A secondary analysis of a randomized trial of Mindful Mood Balance.

BACKGROUND: To address the elevated prevalence of depression, suicide, and suicidal ideation, patients require increased access to effective interventions. Mindfulness-Based Cognitive Therapy has a strong evidence base in relapse prophylaxis and can be delivered digitally through Mindful Mood Balance (MMB). METHODS: This study was a secondary analysis of the impact of MMB paired with usual depression care (UDC) compared to UDC alone on patients in a randomized clinical trial for residual depression (Segal et al., 2020) who had a history of attempted suicide or reported current suicidal ideation (N = 109). RESULTS: MMB relative to UDC was associated with a greater rate of reduction in suicidal ideation (SI; t(103) = 2.50, p = 0.014, d = 0.49, 95% CI [0.09-0.88]) and a greater likelihood of being in a lower severity category of SI (t(103) = 2.02, p = 0.046, odds ratio = 3.43, 95% CI [1.02-11.53]). There was also evidence that MMB reduces depression severity outcomes among this at risk group (t(105) = 2.38, p < 0.02, d = 0.46, 95% CI [0.07-0.85]). LIMITATIONS: Reported findings are based on a subgroup of patients in a clinical trial originally designed to treat residual depressive symptoms. CONCLUSIONS: Online interventions, such as MMB, may offer one solution to the challenge of expanding the reach of services for patients with residual depression who are at risk of suicidal ideation and behavior.

Continuation of Antidepressants vs Sequential Psychological Interventions to Prevent Relapse in Depression: An Individual Participant Data Meta-analysis.

Importance: Depression frequently recurs. To prevent relapse, antidepressant medication is often taken in the long term. Sequentially delivering a psychological intervention while undergoing tapering of antidepressant medication might be an alternative to long-term antidepressant use. However, evidence is lacking on which patients may benefit from tapering antidepressant medication while receiving a psychological intervention and which should continue the antidepressant therapy. A meta-analysis of individual patient data with more power and precision than individual randomized clinical trials or a standard meta-analysis is warranted. Objectives: To compare the associations between use of a psychological intervention during and/or after antidepressant tapering vs antidepressant use alone on the risk of relapse of depression and estimate associations of individual clinical factors with relapse. Data Sources: PubMed, the Cochrane Library, Embase, and PsycInfo were last searched on January 23, 2021. Requests for individual participant data from included randomized clinical trials (RCTs) were sent. Study Selection: Randomized clinical trials that compared use of a psychological intervention while tapering antidepressant medication with antidepressant monotherapy were included. Patients had to be in full or partial remission from depression. Two independent assessors conducted screening and study selection. Data Extraction and Synthesis: Of 15 792 screened studies, 236 full-text articles were retrieved, and 4 RCTs that provided individual participant data were included. Main Outcomes and Measures: Time to relapse and relapse status over 15 months measured via a blinded assessor using a diagnostic clinical interview. Results: Individual data from 714 participants (mean [SD] age, 49.2 [11.5] years; 522 [73.1%] female) from 4 RCTs that compared preventive cognitive therapy or mindfulness-based cognitive therapy during and/or after antidepressant tapering vs antidepressant monotherapy were available. Two-stage random-effects meta-analysis found no significant difference in time to depressive relapse between use of a psychological intervention during tapering of antidepressant medication vs antidepressant therapy alone (hazard ratio [HR], 0.86; 95% CI, 0.60-1.23). Younger age at onset (HR, 0.98; 95% CI, 0.97-0.99), shorter duration of remission (HR, 0.99; 95% CI, 0.98-1.00), and higher levels of residual depressive symptoms at baseline (HR, 1.07; 95% CI, 1.04-1.10) were associated with a higher overall risk of relapse. None of the included moderators were associated with risk of relapse. Conclusions and Relevance: The findings of this individual participant data meta-analysis suggest that regardless of the clinical factors included in these studies, the sequential delivery of a psychological intervention during and/or after tapering may be an effective relapse prevention strategy instead of long-term use of antidepressants. These results could be used to inform shared decision-making in clinical practice.

On the nature of objective and perceived cognitive impairments in depressive symptoms and real-world functioning in young adults.

Cognitive impairments in depression contribute to disability. According to prevailing cognitive theories, one's perception related to cognitive ability can cause and maintain depression, and related outcomes. Here, we investigate the degree to which perceived cognitive impairment predicts functional impairment above and beyond objective neurocognition. A sample of young adults (n = 123) completed a battery of tests measuring objective cognitive ability, perceived cognitive function (e.g., Perceived Deficits Questionnaire), disability (e.g., World Health Organization Disability Assessment Schedule) and depressive symptoms (Beck Depression Inventory-2). Hierarchical multiple regression analyses tested the incremental variance that perceived cognitive impairment accounts for above and beyond neuropsychological test measures and disability related to depression. Results show that perceived cognitive impairment accounts for significant incremental variance in depressive symptoms beyond neuropsychological test scores; disability measures were significantly associated with depressive symptoms, as was perceived cognitive impairment. Individuals with depression and related disorders are more likely to report cognitive impairments and experience diminished cognitive ability - relative to healthy controls - regardless of objective impairments, highlighting the importance of considering, measuring, and treating this perceived cognitive impairment, that is, Cognitive Impairment Bias (Dhillon and Zakzanis, 2019).

Cost-Utility Analysis of Mindfulness-Based Cognitive Therapy Versus Antidepressant Pharmacotherapy for Prevention of Depressive Relapse in a Canadian Context: Analyse coût-utilité de la thérapie cognitive basée sur la pleine conscience contre la pharmacothérapie antidépressive pour prévenir la rechute de la dépression en contexte canadien.

OBJECTIVE: Patients suffering from major depressive disorder (MDD) experience impaired functioning and reduced quality of life, including an elevated risk of episode return. MDD is associated with high societal burden due to increased healthcare utilization, productivity losses, and suicide-related costs, making the long-term management of this illness a priority. The purpose of this study is to evaluate the cost-effectiveness of mindfulness-based cognitive therapy (MBCT), a first-line preventative psychological treatment, compared to maintenance antidepressant medication (ADM), the current standard of care. METHOD: A cost-utility analysis was conducted over a 24-month time horizon to model differences between MBCT and ADM in cost and quality-adjusted life years (QALY). The analysis was conducted using a decision tree analytic model. Intervention efficacy, utility, and costing data estimates were derived from published sources and expert consultation. RESULTS: MBCT was found to be cost-effective compared to maintenance ADM over a 24-month time horizon. Antidepressant pharmacotherapy resulted in 1.10 QALY and $17,255.37 per patient on average, whereas MBCT resulted in 1.18 QALY and $15,030.70 per patient on average. This resulted in a cost difference of $2,224.67 and a QALY difference of 0.08, in favor of MBCT. Multiple sensitivity analyses supported these findings. CONCLUSIONS: From both a societal and health system perspective, utilizing MBCT as a first-line relapse prevention treatment is potentially cost-effective in a Canadian setting. Future economic evaluations should consider combined treatment (e.g., ADM and psychotherapy) as a comparator and longer time horizons as the literature advances.

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: ß [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.

The symptom-specific efficacy of antidepressant medication vs. cognitive behavioral therapy in the treatment of depression: results from an individual patient data meta-analysis.

A recent individual patient data meta-analysis showed that antidepressant medication is slightly more efficacious than cognitive behavioral therapy (CBT) in reducing overall depression severity in patients with a DSM-defined depressive disorder. We used an update of that dataset, based on seventeen randomized clinical trials, to examine the comparative efficacy of antidepressant medication vs. CBT in more detail by focusing on individual depressive symptoms as assessed with the 17-item Hamilton Rating Scale for Depression. Five symptoms (i.e., "depressed mood" , "feelings of guilt" , "suicidal thoughts" , "psychic anxiety" and "general somatic symptoms") showed larger improvements in the medication compared to the CBT condition (effect sizes ranging from .13 to .16), whereas no differences were found for the twelve other symptoms. In addition, network estimation techniques revealed that all effects, except that on "depressed mood" , were direct and could not be explained by any of the other direct or indirect treatment effects. Exploratory analyses showed that information about the symptom-specific efficacy could help in identifying those patients who, based on their pre-treatment symptomatology, are likely to benefit more from antidepressant medication than from CBT (effect size of .30) versus those for whom both treatments are likely to be equally efficacious. Overall, our symptom-oriented approach results in a more thorough evaluation of the efficacy of antidepressant medication over CBT and shows potential in "precision psychiatry" .

Increased high-frequency NREM EEG power associated with mindfulness-based interventions for chronic insomnia: Preliminary findings from spectral analysis.

OBJECTIVE: Mindfulness-based interventions (MBI) have been shown to reduce subjective symptoms of insomnia but the effects on objective measures remain unclear. The purpose of this study was to examine sleep EEG microarchitecture patterns from a randomized controlled trial of Mindfulness-Based Stress Reduction (MBSR) and Mindfulness-Based Therapy for Insomnia (MBTI). METHODS: Sleep EEG spectral analysis was conducted on 36 participants with chronic insomnia (>6 months) randomized to 8-week MBSR, MBTI, or self-monitoring control (SM). Overnight polysomnography with 6-channel EEG was conducted at baseline, post-treatment, and 6-month follow-up. Spectral power averaged from channels C3/C4 across NREM epochs (excluding N1) was examined for within-group changes and relationships with self-report measures. RESULTS: Increases in absolute NREM beta (16-25 Hz) power were observed from baseline to post-treatment (p = .02, d = 0.53) and maintained at 6-month follow-up (p = .01, d = 0.57) in the combined MBI groups, and additionally in the gamma (25-40 Hz) range at follow-up for the MBTI group only. No significant changes in these frequency bands were observed for SM. Following mindfulness intervention, NREM beta was positively associated with Five-Facet Mindfulness (FFM) score (rho = 0.37, p = .091) and negatively associated with Insomnia Severity Index (rho = -0.43, p = .047). CONCLUSION: These results in people with insomnia corroborate prior reports of increased high-frequency sleep EEG power associated with mindfulness training. This change in beta EEG pattern merits further evaluation as a potential marker of the effects of mindfulness meditation on sleep, especially given the paradoxical findings in the context of insomnia. CLINICAL TRIAL REGISTRATION: clinicaltrials.gov, NCT00768781.

Translating the BDI and BDI-II into the HAMD and vice versa with equipercentile linking.

AIMS: The Hamilton Depression Rating Scale (HAMD) and the Beck Depression Inventory (BDI) are the most frequently used observer-rated and self-report scales of depression, respectively. It is important to know what a given total score or a change score from baseline on one scale means in relation to the other scale. METHODS: We obtained individual participant data from the randomised controlled trials of psychological and pharmacological treatments for major depressive disorders. We then identified corresponding scores of the HAMD and the BDI (369 patients from seven trials) or the BDI-II (683 patients from another seven trials) using the equipercentile linking method. RESULTS: The HAMD total scores of 10, 20 and 30 corresponded approximately with the BDI scores of 10, 27 and 42 or with the BDI-II scores of 13, 32 and 50. The HAMD change scores of -20 and -10 with the BDI of -29 and -15 and with the BDI-II of -35 and -16. CONCLUSIONS: The results can help clinicians interpret the HAMD or BDI scores of their patients in a more versatile manner and also help clinicians and researchers evaluate such scores reported in the literature or the database, when scores on only one of these scales are provided. We present a conversion table for future research.

A maturing mindfulness-based cognitive therapy reflects on two critical issues.

Mindfulness-Based Cognitive Therapy (MBCT) is a multimodal intervention that integrates training in mindfulness meditation and the cognitive theory of affective disorder. This hybrid nature may provide an advantage in the prevention field that addresses the critical need for enhancing wellness among people with recurrent mood disorders. Despite the robust evidence base for MBCT, its penetration at the population health level and in routine clinical settings has been limited. Addressing the gap between the science of MBCT and public access requires grappling with two questions: what is the role of home practice of mindfulness skills in realizing the benefits of MBCT? And, what role do digital platforms play in the delivery of mindfulness programs? Addressing these two questions is overdue in the field and the answers generated have the potential to optimize future research and practice on the ways, in which contemplative practices can support agentic self-care.

Practice of therapy acquired regulatory skills and depressive relapse/recurrence prophylaxis following cognitive therapy or mindfulness based cognitive therapy.

BACKGROUND: To investigate whether usage of treatment-acquired regulatory skills is associated with prevention of depressive relapse/recurrence. METHOD: Remitted depressed outpatients entered a 24-month clinical follow up after either 8 weekly group sessions of cognitive therapy (CT; N = 84) or mindfulness-based cognitive therapy (MBCT; N = 82). The primary outcome was symptom return meeting the criteria for major depression on Module A of the SCID. RESULTS: Factor analysis identified three latent factors (53% of the variance): decentering (DC), distress tolerance (DT), and residual symptoms (RS), which were equivalent across CT and MBCT. Latent change score modeling of factor slopes over the follow up revealed positive slopes for DC (ß = .177), and for DT (ß = .259), but not for RS (ß = -.017), indicating posttreatment growth in DC and DT, but no change in RS. Cox regression indicated that DC slope was a significant predictor of relapse/recurrence prophylaxis, Hazard Ratio (HR) = .232 90% Confidence Interval (CI) [.067, .806], controlling for past depressive episodes, treatment group, and medication. The practice of therapy-acquired regulatory skills had no direct effect on relapse/recurrence (ß = .028) but predicted relapse/recurrence through an indirect path (ß = -.125), such that greater practice of regulatory skills following treatment promoted increases in DC (ß = .462), which, in turn, predicted a reduced risk of relapse/recurrence over 24 months (ß = -.270). CONCLUSIONS: Preventing major depressive disorder relapse/recurrence may depend upon developing DC in addition to managing residual symptoms. Following the acquisition of therapy skills during maintenance psychotherapies, DC is strengthened by continued skill utilization beyond treatment termination. (PsycINFO Database Record (c) 2019 APA, all rights reserved).