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WOS: 000504845000007 Objective: Neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), and monocyte/lymphocyte ratio (MLR) are practical inflammation parameters. In bipolar disorder (BD) and major depressive disorder (MDD), these parameters were reported higher than in healthy controls (HC). We aim to compare NLR, PLR, MLR in HC and patients with MDD and BB-manic episode. Method: Forty-six patients with MDD and 43 patients with BD hospitalized between 2013 and 2017 and 40 HC were included in the study. White blood cell, neutrophil, lymphocyte, platelet, and monocyte numbers were entered retrospectively from complete blood counts made at the time of admission, and NLR, PLR, and MLR were calculated from these. Results: NLR and PLR were revealed higher in MDD than HC. NLR and neutrophil values were higher in BD than HC, and there was a positive correlation between NLR and hospitalization period of patients with BD. Conclusion: Findings of our study supported the inflammation hypothesis for MDD and BD in adolescents. Larger-scale studies are necessary to confirm these findings.

Usta, Mirac Baris/0000-0002-1573-3165; Sahin, Berkan/0000-0003-4699-3418 WOS: 000481832500012 OBJECTIVE Studies show partial improvements in some core symptoms of Autism Spectrum Disorders (ASD) in time. However, the predictive factors (e.g. pretreatment IQ, comorbid psychiatric disorders, adaptive, and language skills, etc.) for a better the outcome was not studied with machine learning methods. We aimed to examine the predictors of outcome with machine learning methods, which are novel computational methods including statistical estimation, information theories and mathematical learning automatically discovering useful patterns in large amounts of data. METHOD The study the group comprised 433 children (mean age: 72.3 +/- 45.9 months) with ASD diagnosis. The ASD symptoms were assessed by the Autism Behavior Checklist, Aberrant Behavior Checklist, Clinical Global Impression scales at baseline (T0) and 12th (T1), 24th (T2), and 36th (T3) months. We tested the performance of for machine learning algorithms (Naive Bayes, Generalized Linear Model, Logistic Regression, Decision Tree) on our data, including the 254 items in the baseline forms. Patients with

Usta, Mirac Baris/0000-0002-1573-3165 WOS: 000426058400003 Object: Due to the low number of children and adult psychiatric clinics serving in our country, there is limited data in this age group in the literature. In this study, it was aimed to determine the factors affecting the duration of admission in children and adolescents receiving treatment in Samsun Ondokuz Mayys University Medical Faculty Psychiatry Clinic. Methods: Hospital records of 194 children and adolescents aged between 11 and 18 years who were hospitalized at Ondokuz Mayys University Psychiatric Service between January 2013 and December 2015 were retrospectively reviewed. ANOVA and logistic regression analyzes were performed for clinical and sociodemographic data that could effect hospitalization times and multiple admission. Results: 138 of the patients were female and 56 were male. Major depressive disorder patients (n: 79, 41.1%) and the average duration of hospitalization were 8.43 days. The group with the longest mean duration of admission was the Psychotic Disorder group (n: 17, mean: 19.92 days, p: 0.01). In logistic regression analysis for multiple risk factors, Female gender (OR: 2.02) and MDD diagnosis (OR: 1.51) were found to be risk factors for multiple admission. Discussion: In our study, it was observed that the presence of Major Depresive Disorder and female gender was a risk factor for multiple admission. Clinical and sociodemographic features of the disease can be predictive of hospitalization within the treatment plan.

Usta, Mirac Baris/0000-0002-1573-3165 WOS: 000408778900007 PubMed: 28856844 …