ArticleConsortium psychiatricum2025
Clinical Phenotypes of Anorexia Nervosa: Mathematical Models Based on Latent Class Analysis of Psychopathological Symptoms.
Article in Consortium psychiatricum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundAnorexia nervosa (AN) is characterized by heterogeneous clinical manifestations, which complicates diagnosis and treatment. It is important to define the clinical variants and therapeutic targets for AN.
aimTo identify empirical patient phenotypes within the AN diagnostic category using Latent Class Analysis (LCA) of clinically assessed psychopathological symptoms.
methodsPsychiatrists clinically assessed psychopathological symptoms of AN using an original checklist (57 symptoms in total) and the Mini-International Neuropsychiatric Interview (M.I.N.I.) was used to identify mental disorders. Patients completed the Symptom Check List-90-Revised questionnaire (SCL-90-R) to self-assess psychopathological symptoms and distress. Clinically homogeneous patient subgroups were identified using LCA.
resultsA total of 115 patients with AN were examined. Based on the LCA, four patient groups (C1-C4) were identified, with high classification certainty (R
conclusionFour empirically derived clinical phenotypes of AN were identified, each characterized by a distinct symptomatic profile. Each phenotype was defined by specific combinations of core ED symptoms and general psychopathological manifestations.
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