Psychiatric Research and Clinical Practice
- Volume 5
- Number 4
- December 2023
ARTICLES
Publication date: 27 March 2023
Pages118–125Objective To evaluate if a machine learning approach can accurately predict antidepressant treatment outcome using electronic health records (EHRs) from patients with depression. Method This study examined 808 patients with depression at a New York ...
https://doi.org/10.1176/appi.prcp.20220015Publication date: 08 June 2023
Pages126–130Objective Identifying factors associated with poor outcomes in patients with delirium is important for predicting prognosis. This retrospective study developed an easy and objective cognitive function measurement scale that can predict the prognosis and ...
https://doi.org/10.1176/appi.prcp.20230006Publication date: 25 July 2023
Pages131–143Background In this secondary analysis of the VA Augmentation and Switching Treatments for Improving Depression Outcomes (VAST‐D) study we used antidepressant response trajectories to assess the association of treatment and multiple clinical/demographic ...
https://doi.org/10.1176/appi.prcp.20230017LETTER
Publication date: 08 July 2023
Pages144–147Objective The primary purpose of this article is to identify factors that are associated with worsening mood and anxiety trajectories across the perinatal period among pregnant individuals receiving treatment with a selective‐serotonin reupdate ...
https://doi.org/10.1176/appi.prcp.20230010