Olanzapine is a typical antipsychotic that has demonstrated efficacy for the treatment of schizophrenia, but the patients treated with olanzapine usually appear it’s specific adverse events such as metabolism. It shows some factors that may affect metabolism such as age, BMI, high-dose antipsychotics, etc. Up to now the main predictors for metabolism in a patient with schizophrenia have not been comprehensively evaluated. Subjects and research methods: In this prospective cohort study, a total of 202 inpatients with schizophrenia at Vietnamese National Psychiatric Hospital No1 were included. The univariate regression and decision tree model were applied to find out the statistically significant factors. Results: The factors influencing metabolism were: baseline waist, baseline triglyceride, baseline HDL, age, baseline BMI, baseline metabolism, cholesterol ≥6.2 history, and schizophrenia duration. The final decision tree model included 3 important nodes: baseline waist < 89 cm, baseline triglyceride <3.1 mmol/l, age <36. The predictive accuracy and other parameters were good to be able to apply for predictive purposes: accuracy 0.88, precision 0.90, recall 0.69, f1-score 0.78. Conclusion: The final model was good to predict no metabolism (0 code). In contrast, it is necessary to verify the metabolism status and have appropriate routine monitoring. Keywords: Metabolism, schizophrenia, olanzapine, predictive model, decision tree model.

This study was conducted to evaluate some associated factors predicting the development of alcohol withdrawal delirium; 56 patients in E hospital were divided into two groups including group 1 of 28 patients diagnosing mental and behavioral disorders due to use of alcohol, withdrawal state with delirium (F10.4) and group 2 of 28 patients diagnosing mental and behavioral disorders due to use of alcohol, withdrawal state (F10.3) according to ICD-10 criteria; Method: cross-sectional study; Result showed that clinical features are sweating and seizure; laboratory tests are GGT, total bilirubin, direct bilirubin, platelet emerged as associated factors of alcohol withdrawal delirium. The level of direct bilirubin over 13 μmol/L is the strongest associated factor with OR(95%CI) 6(1.648-21.840). These risk factors about alcohol dependence featured can be easily evaluated in a clinical setting for physicians to identify patients at risk for developing alcohol withdrawal delirium to make intensive therapy plans for them. Keywords: Alcohol withdrawal delirium, risk factor, clinical feature, laboratory test.