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AIM: The aim of this study was to compare the clinical characteristics of childhood-onset schizophrenia (COS) and early-onset schizophrenia (EOS) during the first- episode psychosis and the stable period, to examine psychopharmacological treatment approaches, and to investigate potential predictive factors for prognosis. METHODS: Demographic, clinical, and psychopharmacological therapy data for 31 patients diagnosed with COS and 66 with EOS were retrieved from the file records in this multicenter study. Symptom distribution and disease severity and course were evaluated twice, in the acute psychotic stage and in the latest stable phase, during follow-up using the positive and negative syndrome scale (PANSS) and clinical global impression (CGI) scales. RESULTS: A statistically significant difference was observed between the groups' CGI improvement rates and median last stable stage PANSS positive, negative, and general psychopathology symptom scores (p = .005, p = .031, p = .005, and p = .012, respectively). Premorbid neurodevelopmental disorder and obsessive-compulsive disorder and comorbidities were more common in the COS group (p = .025 and p = .030, respectively), and treatment required greater multiple antipsychotic use in that group (p = .013). When the independent variables affecting the difference between pre- and post-treatment PANSS scores were examined using linear regression analysis, the model established was found to be statistically significant (F = 5.393; p = .001), and the group variable (p = .024), initial disease severity (p = .001), and socioeconomic level (p = .022; p = .007) emerged as predictive factors for the disease course. CONCLUSION: Although early diagnosis and treatment is an important factor in improving prognosis in schizophrenia, more specific predictors for schizophrenia need to be identified. Additionally, preventive programs and pharmacological methods need to be developed in children with neurodevelopmental problems, particularly those from low socioeconomic status families.
RESUMO
OBJECTIVES: The aim of this study was to investigate the variables that may affect treatment continuation in children aged 6 to 12 years who were newly diagnosed with ADHD. METHODS: A total of 132 children diagnosed with ADHD and their parents participated in the study. Sociodemographic and clinical risk factors affecting continuation of treatment were examined using logistic regression analysis. RESULTS: Multiple model examination revealed that greater age increased the risk of treatment discontinuation 1.824 times (p = .003) while a lower total length of paternal education increased the risk of discontinuation (1/0.835) 1.198 times (p = .022). Other variables emerging as significant in the univariate model lost that significance in the multiple model. CONCLUSIONS: Understanding the variables associated with medication discontinuation in ADHD in different populations and taking these variables into account in the development of health policies, will be useful in improving the long-term devastating effects of the disorder.