Joint Hypermobility and Clinical Correlates in a Group of Patients With Eating Disorders

Improving eating disorder care for underserved groups: a lived experience and quality improvement perspective

Improvements to eating disorder (ED) care are urgently needed in the United Kingdom (UK) and around the world. Informed by my lived experiences, independent research, and involvement in the underappreciated field of quality improvement (QI), I have written this article to offer ideas on how to improve individuals' access to and experiences of ED care. As I live in the UK, my lived and QI experiences are of the UK's National Health Service (NHS). However, much of this article's content can be applied broadly to healthcare providers around the world, as similar ED care improvements are needed internationally. Furthermore, this commentary is informed by the latest international research.In this paper, I will identify and discuss 12 groups of individuals whom I believe are more likely to be underserved in ED care. The 12 'underserved groups' (USGs) are as follows: [USG. 1] People with longstanding EDs and/or older-age ED sufferers; [USG. 2] Younger children/preadolescents; [USG. 3] People with under-recognised/underappreciated EDs; [USG. 4] People with higher weights; [USG. 5] People with comorbidities; [USG. 6] People with neurodevelopmental conditions (neurodiverse people); [USG. 7] Digitally excluded people; [USG. 8] Socioeconomically and/or sociogeographically disadvantaged people; [USG. 9] Ethnic/racial minorities; [USG. 10] Sexual and gender-diverse people; [USG. 11] Males; [USG. 12] Caregivers/loved ones.ED sufferers/caregivers are also an underserved group as a whole in general mental health care, so broader considerations for improving ED care will be explored in a future publication; these include stigma, research biases, inadequate clinical monitoring and diagnosing, poor-quality treatments, disorganised service transitions, systemic problems/inefficiencies, and underfunding/under-resourcing. Specific recommendations for USGs 1-12 must be considered alongside these and other broader issues. Throughout both articles, I advocate a humanistic care model/approach based on the inexpensive principles of compassion, hope, empathy, appreciation (of identity), and patience ('CHEAP').

Integrative medicine for hypermobility spectrum disorders (HSD) and Ehlers-Danlos syndromes (EDS): a feasibility study

PURPOSE

Hypermobility spectrum disorders (HSD) and Ehlers-Danlos syndromes (EDS) are multisystem conditions marked by dysfunctional connective tissue. This feasibility study evaluated a 9-week integrative medicine program in this population.

METHODS

Using a single-arm study design, adults with HSD or EDS were given recommendations for an anti-inflammatory Mediterranean diet and self-management with additional behavioral and psychosocial support. Preliminary data on feasibility based on recruitment and retention, adherence to the diet, mobile app tracking, changes to perceived well-being via health outcomes, and satisfaction with care were obtained.

RESULTS

Thirteen participants were enrolled within a 4-month timeframe. Eight participants completed the study. Three participants met dietary tracking requirement in at least 4 of 8 intervention weeks and met the macronutrient requirements in at least half of the weeks tracked. No decreases in VAS pain scores after 5 and 9 weeks were noted; however, 62.5% (n = 5) of participants had decreased pain at 9 weeks, compared to baseline. There were significant improvements (p<.05) in six of twelve measurements of satisfaction with care at the end of the intervention.

CONCLUSION

This study provides a foundation for future research on patient experience and introduces a novel treatment paradigm focused on nutrition and self-management.

Trial Registration: National Institutes of Health clinicaltrials.gov; identifier: NCT04734041.

Hybridized deep learning goniometry for improved precision in Ehlers-Danlos Syndrome (EDS) evaluation

BACKGROUND

Generalized Joint Hyper-mobility (GJH) can aid in the diagnosis of Ehlers-Danlos Syndrome (EDS), a complex genetic connective tissue disorder with clinical features that can mimic other disease processes. Our study focuses on developing a unique image-based goniometry system, the HybridPoseNet, which utilizes a hybrid deep learning model.

OBJECTIVE

The proposed model is designed to provide the most accurate joint angle measurements in EDS appraisals. Using a hybrid of CNNs and HyperLSTMs in the pose estimation module of HybridPoseNet offers superior generalization and time consistency properties, setting it apart from existing complex libraries.

METHODOLOGY

HybridPoseNet integrates the spatial pattern recognition prowess of MobileNet-V2 with the sequential data processing capability of HyperLSTM units. The system captures the dynamic nature of joint motion by creating a model that learns from individual frames and the sequence of movements. The CNN module of HybridPoseNet was trained on a large and diverse data set before the fine-tuning of video data involving 50 individuals visiting the EDS clinic, focusing on joints that can hyperextend. HyperLSTMs have been incorporated in video frames to avoid any time breakage in joint angle estimation in consecutive frames. The model performance was evaluated using Spearman's coefficient correlation versus manual goniometry measurements, as well as by the human labeling of joint position, the second validation step.

OUTCOME

Preliminary findings demonstrate HybridPoseNet achieving a remarkable correlation with manual Goniometric measurements: thumb (rho = 0.847), elbows (rho = 0.822), knees (rho = 0.839), and fifth fingers (rho = 0.896), indicating that the newest model is considerably better. The model manifested a consistent performance in all joint assessments, hence not requiring selecting a variety of pose-measuring libraries for every joint. The presentation of HybridPoseNet contributes to achieving a combined and normalized approach to reviewing the mobility of joints, which has an overall enhancement of approximately 20% in accuracy compared to the regular pose estimation libraries. This innovation is very valuable to the field of medical diagnostics of connective tissue diseases and a vast improvement to its understanding.

Inclusion of the severe and enduring anorexia nervosa phenotype in genetics research: a scoping review

BACKGROUND

Anorexia nervosa has one of the highest mortality rates of all mental illnesses. For those who survive, less than 70% fully recover, with many going on to develop a more severe and enduring phenotype. Research now suggests that genetics plays a role in the development and persistence of anorexia nervosa. Inclusion of participants with more severe and enduring illness in genetics studies of anorexia nervosa is critical.

OBJECTIVE

The primary goal of this review was to assess the inclusion of participants meeting the criteria for the severe enduring anorexia nervosa phenotype in genetics research by (1) identifying the most widely used defining criteria for severe enduring anorexia nervosa and (2) performing a review of the genetics literature to assess the inclusion of participants meeting the identified criteria.

METHODS

Searches of the genetics literature from 2012 to 2023 were performed in the PubMed, PsycINFO, and Web of Science databases. Publications were selected per the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). The criteria used to define the severe and enduring anorexia nervosa phenotype were derived by how often they were used in the literature since 2017. The publications identified through the literature search were then assessed for inclusion of participants meeting these criteria.

RESULTS

most prevalent criteria used to define severe enduring anorexia nervosa in the literature were an illness duration of ≥ 7 years, lack of positive response to at least two previous evidence-based treatments, a body mass index meeting the Diagnostic and Statistical Manual of Mental Disorders-5 for extreme anorexia nervosa, and an assessment of psychological and/or behavioral severity indicating a significant impact on quality of life. There was a lack of consistent identification and inclusion of those meeting the criteria for severe enduring anorexia nervosa in the genetics literature.

DISCUSSION

This lack of consistent identification and inclusion of patients with severe enduring anorexia nervosa in genetics research has the potential to hamper the isolation of risk loci and the development of new, more effective treatment options for patients with anorexia nervosa.

A new conceptual model for anorexia nervosa: A role for connective tissue?

The etiology of anorexia nervosa (AN) remains to be fully elucidated, and current theories also fail to account for the direct effect of starvation on the health of the organs and tissues, specifically the connective tissue present in most organs of the body. Individuals with hereditary disorders of connective tissue manifest with clinical symptoms that overlap with AN, as the abnormal connective tissue also contributes to many of the other extra-articular manifestations of these hereditary disorders. This article hypothesizes that a similar pathophysiology may also contribute to the clinical presentation of AN. Therefore, a better understanding is needed to elucidate: (1) the relationship between abnormal connective tissue and AN, (2) the impact of starvation toward the development of abnormal connective tissue and how this manifests clinically, (3) the etiology of autonomic nervous system changes contributing to the dysautonomia in AN, and (4) how the sensory signals sent from potentially abnormal connective tissue to the central nervous system impact interoception in AN. A conceptual model incorporating abnormal connective tissue is provided. PUBLIC SIGNIFICANCE: The etiology of AN remains poorly understood and current theories fail to account for the direct impact of starvation on the health of the organs and tissues of the body. There is significant clinical overlap between AN and hereditary connective tissue disorders. This paper attempts to provide a new conceptual model for AN in which abnormal connective tissue contributes to the underlying pathogenesis.

Finding the Proportion of Females with Autistic Spectrum Disorder Who Develop Anorexia Nervosa, the True Prevalence of Female ASD and Its Clinical Significance

It appears that up to 80% of females with autistic spectrum disorder (ASD) have not been diagnosed by the age of 18. This translates to a prevalence of about 5-6%, and if true, has serious implications for female mental health. One way of finding the true value is to use Bayes' Theorem with a comorbid condition as a more easily recognizable flag. An obvious choice is anorexia nervosa (AN), but it transpires that the proportion of women with ASD who develop AN is unknown. This study uses published data in novel ways to provide two methods of estimating a range for this variable, and gives a median value of 8.3% for AN in ASD and, with four other methods, a median prevalence of 6% for female ASD. The clinical implications of the diagnosis and management of ASD and its comorbidities are discussed and, as an example, a solution is provided for the rate of ASD in symptomatic generalized joint hypermobility. It is probable that one in six women with a mental health condition is autistic.