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Eating disorders represent severe psychiatric conditions that contribute to substantial global morbidity and healthcare expenditure. Historically, clinicians have debated the degree of diagnostic instability across conditions like anorexia nervosa and bulimia nervosa. Investigating eating disorder diagnostic transitions alongside polygenic liability provides vital biological clarity. A nationwide cohort study utilizing the Danish health registry evaluated diagnostic stability, presumed remission, and genetic architecture. The findings reveal that long-term diagnostic trajectories reflect both clinical factors and underlying polygenic scores.
Diagnostic fluidity has long posed challenges in psychiatric management. Patients with eating disorders often exhibit fluctuating symptom profiles across years of follow-up. Consequently, clinicians frequently question whether anorexia nervosa, bulimia nervosa, and other specified feeding disorders represent discrete biological entities or stages of a single spectrum. Therefore, tracking eating disorder diagnostic transitions across nationwide health systems clarifies disease evolution. Although previous smaller cohorts suggested substantial diagnostic migration, large-scale population registries offer more objective long-term insights. By evaluating hospital records over two decades, researchers can distinguish stable illness trajectories from dynamic symptom crossover. Understanding these trajectories helps clinicians anticipate shifting nutritional and psychiatric needs.
The investigation utilized extensive clinical data from the Danish Psychiatric Central Research Register. Specifically, the cohort included 10,565 individuals diagnosed with anorexia nervosa, bulimia nervosa, or eating disorder not otherwise specified between 1995 and 2018. All participants had at least two documented hospital contacts, providing robust diagnostic validity. Researchers evaluated genome-wide data to compute 422 distinct polygenic scores representing psychiatric traits, metabolic markers, and behavioral characteristics. Subsequently, Cox proportional hazard models assessed the associations between these polygenic scores and clinical transitions. This comprehensive methodology bridged longitudinal clinical documentation with large-scale genomic risk profiling.
Interestingly, the study demonstrated that a clear minority of patients underwent diagnostic crossover during longitudinal follow-up. Transition rates ranged between 14.1% and 23.1% across the primary eating disorder subtypes. Thus, most individuals retained their original clinical diagnosis throughout their documented medical contacts. Furthermore, rates of presumed remission were encouragingly high, ranging between 86.9% and 89.8% across the diagnostic groups. Presumed remission was defined as a prolonged absence of specialized hospital contacts for eating disorder treatment. Consequently, these findings challenge earlier assumptions that diagnostic instability is universal, demonstrating substantial diagnostic stability within hospital-treated populations.
Polygenic liability significantly influenced the likelihood of transitioning between discrete diagnostic categories over time. Specifically, higher polygenic scores for major depressive disorder were positively associated with transitioning from anorexia nervosa to either bulimia nervosa or eating disorder not otherwise specified. Similarly, elevated genetic susceptibility to multisite chronic pain increased the risk of diagnostic migration away from anorexia nervosa. Therefore, comorbid affective distress and somatic symptom vulnerability may drive behavioral shifts toward bulimic or atypical symptoms. These genetic findings confirm that biological vulnerabilities modify the clinical course of restrictive eating pathology.
In addition to diagnostic switching, genomic architecture meaningfully influenced the probability of achieving presumed clinical remission. For patients with anorexia nervosa, higher polygenic scores for body fat percentage and perceived financial difficulties correlated positively with achieving presumed remission. Conversely, in individuals diagnosed with eating disorder not otherwise specified, a higher polygenic score for mood swings correlated with remission, whereas elevated scores for overall general health rating showed an inverse association. These complex polygenic correlations demonstrate that metabolic set points and psychological liabilities interact continuously to dictate long-term recovery patterns in eating disorders.
These findings provide actionable biological and clinical insights for psychiatrists, general practitioners, and multidisciplinary eating disorder treatment teams. First, clinicians should recognize that major depressive symptoms and chronic somatic complaints may signal an elevated risk for symptom migration toward bulimic pathology. Consequently, proactive screening for affective instability is essential during the management of restrictive disorders. Second, high rates of hospital disengagement highlight the need for robust outpatient monitoring and sustained community support. Although polygenic testing is not yet standard in routine clinical workflows, integrating genetic insights enhances our understanding of eating disorder prognosis.
Higher polygenic scores for major depressive disorder and multisite chronic pain significantly increase the risk of transitioning from anorexia nervosa to bulimia nervosa or eating disorder not otherwise specified. These genetic correlations suggest that underlying affective and somatic susceptibilities drive shifts in clinical eating disorder presentations over time.
Diagnostic transitions occur in a minority of patients, with observed rates ranging between 14.1% and 23.1%. Most individuals with anorexia nervosa, bulimia nervosa, or eating disorder not otherwise specified maintain their original hospital diagnosis, while presumed remission rates range between 86.9% and 89.8% over long-term registry follow-up.
Higher polygenic scores for body fat percentage correlate positively with presumed remission in anorexia nervosa. This association indicates that genetic predispositions toward higher adiposity may provide protective biological or metabolic buffers that facilitate physical stabilization and sustained recovery from severe restrictive eating pathology.
Disclaimer: This content is for informational and educational purposes only and does not substitute professional medical advice, diagnosis, or treatment. Always consult qualified healthcare providers with questions regarding specific medical conditions or clinical decisions. Refer to the latest local and national guidelines for clinical practice.
References
Abdulkadir M et al. Descriptives and Genetic Correlates of Eating Disorder Diagnostic Transitions and Presumed Remission in the Danish Registry. Biol Psychiatry. 2025 Aug 01. doi: 10.1016/j.biopsych.2025.01.008. PMID: 39827937.
Hübel C et al. Genomics of Eating Disorders: From Inception to Future Directions. Psychol Med. 2021;51(13):2216-2228. doi: 10.1017/S003329172100234X.
Watson HJ et al. Genome-Wide Association Study Identifies Eight Risk Loci and Implicates Metabo-Psychiatric Origins for Anorexia Nervosa. Nat Genet. 2019;51(8):1207-1214. doi: 10.1038/s41588-019-0439-2.

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