Assessment of severe hemophilia A patients for psychiatric disorders usingartificial ıntelligence-based tests and examination of the clinical ımpact of these results

Aim: In this thesis, we aimed to evaluate psychiatric disorders in patients with severe haemophilia A using an artificial intelligence-based screening test and to investigate the impact of the screening results on patients' clinical course and treatment compliance. Material and Method: The study included 94 patients with severe haemophilia A. Patients were evaluated in terms of psychiatric disorders with the Diagnostic Test (DIA), an artificial intelligence-based questionnaire consisting of 314 questions. After face-to-face interviews with the patients and obtaining their consent, they were sent a link to their mobile phones to answer the diagnostic questionnaire online. Sociodemographic and medical data were obtained from patients during face-to-face interviews and/or from patient files. Results: The risk for personality disorders was found in 53.7%, anxiety in 17%, stress and trauma-related disorders in 17.1%, somatoform and related disorders in 14.6%, mood diorders in 30.5%, psychotic diorders in 6.1%, obsessive-compulsive diorders in 26.8%, and other psychiatric disorders and symptoms in 68.3%. While 10.1% of those with somatoform and related disorders were trained to self-administer iv factors, this rate increased to 89.9% in those without somatoform disorders, and this difference was statistically significant. A positive correlation was found between the scores for sleep and appetite disorders and the annual frequency of joint bleeding, a negative correlation was observed between the scores for alcohol use disorders and BMI (Body Mass Index), and a positive correlation was found between the scores for OCD (Obsessive Compulsive Disorder) and trichotillomania and the annual amount of factors per kilogram of weight. Patients who were at risk for somatoform and related disorders were found to have significantly higher annual factor consumption than those who were not at risk. The mean factor consumption per kilogram of weight per year was significantly higher in patients at high risk for OCD, sleep and appetite disorders, histrionic personality disorder, and misophonia compared with those who were not at risk. Conclusion: Our results show that there is a significant relationship between annual bleeding frequency and the amount of factor per kg per year and psychiatric disorders. Early diagnosis and treatment of psychiatric disorders in haemophilia patients may decrease the development of bleeding-related complications by increasing the rate of adherence to factor replacement treatment Key words: severe haemophilia A, psychiatric disorders, artificial intelligence-based test (DIA).