Predictors of Outcome
depression
REGRESSION
Following the results of baseline analysis and previous research, age, gender, family history of depression, education years, current episode duration, types of medication used (tricyclic antidepressants, selective serotonin reuptake inhibitors, noradrenergic and selective serotonergic antidepressants, serotonin and norepinephrine reuptake inhibitors, norepinephrine and dopamine reuptake inhibitors, serotonin antagonists and reuptake inhibitors, agomelatine, typical antipsychotics, benzodiazepines, mood stabilizer), ECT protocol, and baseline score of HAMD, HAMA, CGI, and MMSE were entered into a multinomial logistic regression model. The latent class is the dependent variable. The results can be found in Estimated Effect Sizes for the Variables Included in the ModelThe logistic regression model indicated adequate model discrimination with an AUC of 62.6% (95% CI = 0.471% to 0.781%), which corresponded to a sensitivity of 41.2% and specificity of 81.9% (Receiver operating characteristic curve of logistic regression.