Toward an online cognitive and emotional battery to predict treatment remission in XXXX .

@entity1 @entity308 @entity3756 @entity837 @entity906
PURPOSE: To evaluate the performance of a cognitive and emotional test battery in a representative sample of @entity308 outpatients to inform likelihood of remission over 8 weeks of treatment with each of three common antidepressant medications. @entity1 AND METHODS: Outpatients 18-65 years old with nonpsychotic major @entity308 (17 sites) were randomized to @entity837 , @entity3756 or @entity906 -XR (extended release). @entity1 scored >= 12 on the baseline 16-item Quick Inventory of Depressive Symptomatology - Self-Report and completed 8 weeks of treatment. The baseline test battery measured cognitive and emotional status. Exploratory multivariate logistic regression models predicting remission (16-item Quick Inventory of Depressive Symptomatology - Self-Report score  <=5 at 8 weeks) were developed independently for each medication in subgroups stratified by age, sex, or cognitive and emotional test performance. The model with the highest cross-validated accuracy determined the @entity1 proportion in each arm for whom remission could be predicted with an accuracy >= 10% above chance. The proportion for whom a prediction could be made with very high certainty (positive predictive value and negative predictive value exceeding 80%) was calculated by incrementally increasing test battery thresholds to predict remission/non-remission. RESULTS: The test battery, individually developed for each medication, improved identification of remitting and non-remitting @entity1 by >= 10% beyond chance for 243 of 467 @entity1 . The overall remission rates were @entity837 : 40.8%, @entity3756 : 30.3%, and @entity906 -XR: 31.1%. Within this subset for whom prediction exceeded chance, test battery thresholds established a negative predictive value of >= 80%, which identified 40.9% of @entity1 not remitting on @entity837 , 77.1% of @entity1 not remitting on @entity3756 , and 38.7% of @entity1 not remitting on @entity906 -XR (all including 20% false negatives). CONCLUSION: The test battery identified about 50% of each medication group as being >= 10% more or less likely to remit than by chance, and identified about 38% of individuals who did not remit with >= 80% certainty. Clinicians might choose to avoid this specific medication in these particular @entity1 .
