LONG-TERM REMISSIONS IN ENDOGENOUS MENTAL DISORDERS: CLINICAL-PSYCHOPATHOLOGICAL STRUCTURE AND PROGNOSTIC SIGNIFICANCE

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Mamatxonov Maksudbek Ma’rifjon ugli

Abstract

Objective. To determine the clinical-psychopathological structure of long-term remissions in endogenous mental disorders and their prognostic value.
Materials and Methods. A review of the literature and an analysis of clinical data from patients with schizophrenia, bipolar affective disorder, and recurrent depression were conducted. M. L. Agranovsky’s classification and psychometric scales PANSS and SOFAS were used.
Results. Remission was found to be a heterogeneous state comprising clinical, cognitive, and social components. The most favorable variants (Intermission with Mild Personality Changes, ATR, NTR, TTR) were characterized by preserved social adaptation and a low risk of relapse. Unfavorable types (PTR, RRS) were associated with pronounced negative symptoms and a high likelihood of exacerbations. Psychometric verification demonstrated that SOFAS ≥ 45 and ΔPANSS ≥ 15 were linked to stable remissions, whereas lower scores and insufficient symptom reduction increased relapse risk.
Conclusion. Integrating typological and psychometric approaches improves the objectivity of remission assessment and enables the development of comprehensive prognostic models for personalized prevention.

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How to Cite

LONG-TERM REMISSIONS IN ENDOGENOUS MENTAL DISORDERS: CLINICAL-PSYCHOPATHOLOGICAL STRUCTURE AND PROGNOSTIC SIGNIFICANCE. (2025). Journal of Multidisciplinary Sciences and Innovations, 4(10), 1698-1699. https://doi.org/10.55640/

References

1.To analyze domestic and international literature on remissions in endogenous mental disorders, their clinical structure, and prognostic criteria.

2.To characterize the main remission types according to M. L. Agranovsky, identifying their clinical-psychopathological features and prognosis.

3.To determine the significance of psychometric indicators (PANSS, SOFAS) in assessing remission stability and patients’ social functioning.

4.To compare typological and psychometric approaches to identify key predictors of relapse risk.

5.To justify the need for developing a comprehensive prognostic model integrating clinical-psychopathological, psychometric, and social parameters.

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