An overview and investigation of relapse predictors in anorexia nervosa: A systematic review and meta-analysis

Efficacy and cost-effectiveness of a digital guided self-management intervention to support transition from intensive care to community care in anorexia nervosa (TRIANGLE): pragmatic multicentre randomised controlled trial and economic evaluation

Background

There is uncertainty regarding how best to support patients with anorexia nervosa following inpatient or day care treatment. This study evaluated the impact of augmenting intensive treatment with a digital, guided, self-management intervention (ECHOMANTRA) for patients with anorexia nervosa and their carers.

Methods

In this pragmatic multicentre randomised controlled trial and economic evaluation, patients with a diagnosis of anorexia nervosa or atypical anorexia nervosa, aged 16+ and attending one of the 31 inpatient or day-patient services in the UK were randomised with one of their carers to receive ECHOMANTRA plus treatment as usual (TAU), or TAU alone. ECHOMANTRA was hosted on a digital platform and included a workbook, recovery-oriented video-clips and online facilitated groups (patients only, carers only, joint patient-carer). Participants were randomised on a 1:1 ratio using a minimisation algorithm to stratify by site (N = 31) and severity (defined by BMI <15 and ≥ 15 kg/m2 at baseline). The primary outcome was patient depression, anxiety, and stress at 12 months. Primary and secondary outcomes were compared between trial arms on an intention-to-treat basis (ITT). This trial is registered with the ISRSTN registry, ISRCTN14644379.

Findings

Between July 01, 2017 and July 20, 2020, 371 patient-carer dyads were enrolled and randomly assigned to ECHOMANTRA + TAU (N = 185) or TAU alone (N = 186). There were no significant differences between trial arms with regards to the primary outcome (completed by N = 143 patients in the TAU group, Mean = 61.7, SD = 29.4 and N = 109 patients in the ECHOMANTRA + TAU group, Mean = 58.3, SD = 26.9; estimated mean difference 0.48 points; 95% CI -5.36 to 6.33; p = 0.87). Differences on secondary outcomes were small and non-significant (standardised effect size estimates ≤0.25). Five patients died (2 from suicide and 3 from physical complications) over the course of the trial, and this was unrelated to their participation in the study.

Interpretation

ECHOMANTRA added to TAU was not superior to TAU alone in reducing patient depression, anxiety, and stress symptoms. This may be explained by limited engagement with the intervention materials and changes in usual care practices since the beginning of the trial.

Funding

National Institute for Health Research (NIHR), under its Health Technology Assessment Programme (HTA) Programme (Grant Reference Number 14/68/09). NIHR Maudsley Biomedical Research Centre (BRC), South London and Maudsley NHS Foundation Trust and Institute of Psychiatry, Psychology and Neuroscience, and King's College London. NIHR Applied Research Collaboration South London (NIHR ARC South London) at King's College Hospital NHS Foundation Trust.

Exploring biologically oriented precision mental health initiatives for the care of patients with eating disorders: A narrative review

OBJECTIVE

Eating disorders (EDs) represent a major public health burden. Increasingly, studies suggest mental health (MH) fields are failing to improve the effectiveness of treatments and that alternative models of care must be considered. Precision mental health (PMH) seeks to tailor treatment to individual needs and relies on a comprehensive understanding of the neurobiological and physiological underpinnings of mental illness.

METHODS

In this narrative review, published literature with focus on biological application of PMH strategies for EDs is reviewed and summarised.

RESULTS

A total of 39 articles were retained for the review covering a variety of themes with relevance to PMH. Many studies of biological markers with PMH applicability focused on anorexia nervosa. Although a variety of potential PMH research applications were identified, the review failed to identify any evidence of implementation into routine ED practice.

CONCLUSIONS

Despite the theoretical merit of biological application of PMH in ED treatment, clinical applications for standard practice are lacking. There is a need to invest further in studies that seek to identify biological markers and investigate neurobiological underpinnings of disease in hopes of targeting and developing treatments that can be better tailored to the individualised needs of patients.

Pragmatic clinical trials to advance research in children and adolescents with eating disorders

OBJECTIVE

To discuss the utility of pragmatic clinical trials (PCTs) to help advance research in eating disorders (EDs).

METHODS

We describe challenges associated with traditional explanatory research trials and examine PCTs as an alternative, including a review of the PRECIS-2 tool.

RESULTS

There are many challenges associated with the design and completion of traditional RCTs within the field of EDs. Pragmatic clinical trials are studies that closely align with conditions available in everyday practice and focus on outcomes that are relevant to patients and clinicians. Results of PCTS maximize applicability and generalizability to clinical settings.

DISCUSSION

Available therapies established for the treatment of EDs provide remission rates that rarely exceed 50%, implying a need for additional research on new or adjunctive treatments. In addition to a general overview of PCTs, we draw upon published literature and our own experiences involving adjunctive olanzapine for the treatment of children and youth with anorexia nervosa to help highlight challenges associated with randomized controlled trial (RCT) design and implementation, and offer pragmatic suggestions that would allow patients greater choice in treatment trials, while at the same time capturing outcomes that are most likely to advance treatment efforts.

CONCLUSIONS

Pragmatic clinical trials provide alternatives to RCT design that can help bolster research in EDs that aims to explore real-world effects of interventions.

PUBLIC SIGNIFICANCE

Available therapies established for the treatment of eating disorders (EDs) in children and adolescents provide remission rates that rarely exceed 50%, implying a need for additional research on new or adjunctive treatments. In this article, we discuss the utility of pragmatic trials to help promote research that can help advance knowledge that is relevant to clinical care settings.

Overvaluation of shape/weight at posttreatment predicts relapse at 12-month follow-up after successful behaviorally-based treatment of binge-eating disorder

OBJECTIVE

To test whether overvaluation of shape/weight at the end of treatment prospectively predicts relapse at 12-month follow-up in patients with binge-eating disorder (BED).

METHOD

Participants were 129 patients with BED who achieved abstinence from binge eating after 6 months of behaviorally-based weight-loss treatments in a clinical trial. Independent assessments conducted at posttreatment and at 12-month follow-up included the Eating Disorder Examination interview, the Beck Depression Inventory, and weight measurements.

RESULTS

Of the 129 participants who attained abstinence from binge-eating at posttreatment, 46 (36%) were categorized with clinical overvaluation and 83 (64%) with subclinical overvaluation; 115 (89%) were re-assessed at 12-month follow-up. Participants with overvaluation at posttreatment were significantly more likely than those without to relapse at 12-months to non-abstinence from binge eating (54% vs. 28%) and to diagnosis-level binge-eating frequency of once weekly or greater (31% vs. 13%). Overvaluation at posttreatment predicted significantly higher eating-disorder psychopathology and depression scores at 12-month follow-up but were unrelated to weight and weight changes. Treatment groups did not have main or interaction effects; posttreatment overvaluation effects were observed regardless of treatment and of covarying for posttreatment value of dependent variables.

CONCLUSIONS

Our findings suggest that overvaluation of shape/weight at the end of treatment predicts relapse and heightened eating-disorder psychopathology and depression scores 1 year later in patients who achieved abstinence from binge eating with behaviorally-based treatments. Overvaluation of shape/weight has significant clinical implications and warrants consideration as a diagnostic specifier for BED as it provides important prospective prognostic information.

PUBLIC SIGNIFICANCE

Although effective treatments are available for binge-eating disorder, relapse following successful treatments is not uncommon. Almost nothing is known about what predicts relapse following treatments for binge-eating disorder. Our study found that overvaluation of shape/weight (i.e., body image concerns that overly impact self-worth) at posttreatment prospectively predicted relapse and higher eating-disorder psychopathology and depression 1 year later in patients who achieved binge-eating abstinence with behaviorally based treatments.

CLINICALTRIALS

gov registration: NCT00829283. (Treatment of obesity and binge eating: Behavioral weight loss vs. stepped care.).

Weight gained during treatment predicts 6-month body mass index in a large sample of patients with anorexia nervosa using ensemble machine learning

OBJECTIVE

This study used machine learning methods to analyze data on treatment outcomes from individuals with anorexia nervosa admitted to a specialized eating disorders treatment program.

METHODS

Of 368 individuals with anorexia nervosa (209 adolescents and 159 adults), 160 individuals had data available for a 6-month follow-up analysis. Participants were treated in a 6-day-per-week partial-hospital program. Participants were assessed for eating disorder-specific and non-specific psychopathology. The analyses used established machine learning procedures combined in an ensemble model from support vector machine learning, random forest prediction, and the elastic net regularized regression with an exploration (training; 75%) and confirmation (test; 25%) split of the data.

RESULTS

The models predicting body mass index (BMI) at 6-month follow-up explained a 28.6% variance in the training set (n = 120). The model had good performance in predicting 6-month BMI in the test dataset (n = 40), with predicted BMI significantly correlating with actual BMI (r = .51, p = 0.01). The change in BMI from admission to discharge was the most important predictor, strongly correlating with reported BMI at 6-month follow-up (r = .55). Behavioral variables were much less predictive of BMI outcome. Results were similar for z-transformed BMI in the adolescent-only group. Length of stay was most predictive of weight gain in treatment (r = .56) but did not predict longer-term BMI.

CONCLUSIONS

This study, using an agnostic ensemble machine learning approach in the largest to-date sample of individuals with anorexia nervosa, suggests that achieving weight gain goals in treatment predicts longer-term weight-related outcomes. Other potential predictors, personality, mood, or eating disorder-specific symptoms were relatively much less predictive.

PUBLIC SIGNIFICANCE

The results from this study indicate that the amount of weight gained during treatment predicts BMI 6 months after discharge from a high level of care. This suggests that patients require sufficient time in a higher level of care treatment to meet their specific weight goals and be able to maintain normal weight.

Reduced body-image disturbance by body-image interventions is associated with neural-response changes in visual and social processing regions: a preliminary study

Introduction

Body-image disturbance is a major factor in the development of eating disorders, especially among young women. There are two main components: perceptual disturbance, characterized by a discrepancy between perceived and actual body size, and affective disturbance, characterized by a discrepancy between perceived and ideal body size. Interventions targeting body-image disturbance ask individuals to describe their own body without using negative expressions when either viewing it in a mirror or imagining it. Despite the importance of reducing body-image disturbance, its neural mechanisms remain unclear. Here we investigated the changes in neural responses before and after an intervention. We hypothesized that neural responses correlated with the degree of body-image disturbance would also be related to its reduction, i.e., a reduction in perceptual and affective disturbances would be related to changes in attentional and socio-cognitive processing, respectively.

Methods

Twenty-eight young adult women without known psychiatric disorders underwent a single 40-min intervention. Participants completed tasks before and after the intervention, in which they estimated their perceived and ideal body sizes using distorted silhouette images to measure body-image disturbance. We analyzed the behavioral and neural responses of participants during the tasks.

Results

The intervention did not significantly reduce body-image disturbance. Analysis of individual differences showed distinct changes in neural responses for each type of disturbance. A decrease in perceptual disturbance was associated with bodily visuospatial processing: increased activation in the left superior parietal lobule, bilateral occipital gyri, and right cuneus. Reduced affective disturbance was associated with socio-cognitive processing; decreased activation in the right temporoparietal junction, and increased functional connectivity between the left extrastriate body area and the right precuneus.

Discussion

We identified distinct neural mechanisms (bodily visuospatial and socio-cognitive processing) associated with the reduction in each component of body-image disturbance. Our results imply that different neural mechanisms are related to reduced perceptual disturbance and the expression thereof, whereas similar neural mechanisms are related to the reduction and expression of affective disturbance. Considering the small sample size of this study, our results should be regarded as preliminary.