Acceptance and Mindfulness-Based Exposure Therapy for PTSD After Cardiac Arrest: An Open Feasibility Trial
Conclusions: This initial trial found AMBET feasible, safe, and potentially efficacious in reducing PTSD following SCA. These encouraging pilot results warrant further research.Trial Registration: ClinicalTrials.gov identifier: NCT04596891.PMID:38019593 | DOI:10.4088/JCP.23m14883 (Source: Journal of Clinical Psychiatry)
Source: Journal of Clinical Psychiatry - November 29, 2023 Category: Psychiatry Authors: Maja Bergman John C Markowitz Ian M Kronish Sachin Agarwal Chana T Fisch Elizabeth Eder-Moreau Yuval Neria Source Type: research

Significant Decrease in Alcohol Use Disorder Symptoms Secondary to Semaglutide Therapy for Weight Loss: A Case Series
Conclusions: This case series is consistent with preclinical data and suggests that GLP-1RAs have strong potential in the treatment of AUD. Additional randomized, placebo-controlled clinical studies are needed to fully assess the efficacy of semaglutide in treating AUD.PMID:38019594 | DOI:10.4088/JCP.23m15068 (Source: Journal of Clinical Psychiatry)
Source: Journal of Clinical Psychiatry - November 29, 2023 Category: Psychiatry Authors: Jesse R Richards Madisen Fae Dorand Kyleigh Royal Lana Mnajjed Maria Paszkowiak W Kyle Simmons Source Type: research

Social Media Images Can Predict Suicide Risk Using Interpretable Large Language-Vision Models
Conclusions: This study provides a first proof that publicly available images can be leveraged to predict validated suicide risk. It also provides simple and flexible strategies that could enhance the development of real-life monitoring tools for suicide.PMID:38019588 | DOI:10.4088/JCP.23m14962 (Source: Journal of Clinical Psychiatry)
Source: Journal of Clinical Psychiatry - November 29, 2023 Category: Psychiatry Authors: Yael Badian Yaakov Ophir Refael Tikochinski Nitay Calderon Anat Brunstein Klomek Eyal Fruchter Roi Reichart Source Type: research

Telemental Health Utilization in Commercial Health Insurance Plans in the United States From 2010 Through 2019
Conclusions: Telemental health utilization comprised a small fraction of overall mental health services and beneficiaries in the IQVIA PharMetrics Plus claims data, but increased over time, with differences documented in utilization based on patient gender, patient age, geographic region, and type of telemental health claim. Evidence from this study may serve as a pre-pandemic baseline for comparison against future evaluations of telehealth expansion policies.PMID:38019591 | DOI:10.4088/JCP.23m14931 (Source: Journal of Clinical Psychiatry)
Source: Journal of Clinical Psychiatry - November 29, 2023 Category: Psychiatry Authors: Aziza Arifkhanova Andrew Elhabr Christian Murray Jaya Khushalani Antonio Neri Jennifer Kaminski PhD Richard W Puddy Turgay Ayer Source Type: research

Acceptance and Mindfulness-Based Exposure Therapy for PTSD After Cardiac Arrest: An Open Feasibility Trial
Conclusions: This initial trial found AMBET feasible, safe, and potentially efficacious in reducing PTSD following SCA. These encouraging pilot results warrant further research.Trial Registration: ClinicalTrials.gov identifier: NCT04596891.PMID:38019593 | DOI:10.4088/JCP.23m14883 (Source: Journal of Clinical Psychiatry)
Source: Journal of Clinical Psychiatry - November 29, 2023 Category: Psychiatry Authors: Maja Bergman John C Markowitz Ian M Kronish Sachin Agarwal Chana T Fisch Elizabeth Eder-Moreau Yuval Neria Source Type: research

Significant Decrease in Alcohol Use Disorder Symptoms Secondary to Semaglutide Therapy for Weight Loss: A Case Series
Conclusions: This case series is consistent with preclinical data and suggests that GLP-1RAs have strong potential in the treatment of AUD. Additional randomized, placebo-controlled clinical studies are needed to fully assess the efficacy of semaglutide in treating AUD.PMID:38019594 | DOI:10.4088/JCP.23m15068 (Source: Journal of Clinical Psychiatry)
Source: Journal of Clinical Psychiatry - November 29, 2023 Category: Psychiatry Authors: Jesse R Richards Madisen Fae Dorand Kyleigh Royal Lana Mnajjed Maria Paszkowiak W Kyle Simmons Source Type: research

Predictors and Risk Factors of Treatment-Resistant Depression: A Systematic Review
Conclusions: TRD is a complex disorder with many contributing factors that need to be identified and addressed earlier in the disease course to prevent its development or facilitate better treatment outcomes. Future work should focus on replicating the key predictors/risk factors identified in this review.PMID:37967334 | DOI:10.4088/JCP.23r14885 (Source: Journal of Clinical Psychiatry)
Source: Journal of Clinical Psychiatry - November 15, 2023 Category: Psychiatry Authors: Shane J O'Connor Nilay Hewitt Joanna Kuc Lucinda S Orsini Source Type: research

Machine Learning Prediction of Quality of Life Improvement During Antidepressant Treatment of Patients With Major Depressive Disorder: A STAR*D and CAN-BIND-1 Report
Conclusions: Machine learning can predict normative QoL after antidepressant treatment with similar performance to that of prior work predicting depressive symptom response and remission. These results suggest that QoL outcomes in MDD patients can be predicted with simple patient-rated measures and provide a foundation to further improve performance and demonstrate clinical utility.Trial Registration: ClinicalTrials.gov identifiers NCT00021528 and NCT01655706.PMID:37967350 | DOI:10.4088/JCP.23m14864 (Source: Journal of Clinical Psychiatry)
Source: Journal of Clinical Psychiatry - November 15, 2023 Category: Psychiatry Authors: Tejas Phaterpekar John-Jose Nunez Emma Morton Yang S Liu Bo Cao Benicio N Frey Roumen V Milev Daniel J M üller Susan Rotzinger Claudio N Soares Valerie H Taylor Rudolf Uher Sidney H Kennedy Raymond W Lam Source Type: research

Predictors and Risk Factors of Treatment-Resistant Depression: A Systematic Review
Conclusions: TRD is a complex disorder with many contributing factors that need to be identified and addressed earlier in the disease course to prevent its development or facilitate better treatment outcomes. Future work should focus on replicating the key predictors/risk factors identified in this review.PMID:37967334 | DOI:10.4088/JCP.23r14885 (Source: Journal of Clinical Psychiatry)
Source: Journal of Clinical Psychiatry - November 15, 2023 Category: Psychiatry Authors: Shane J O'Connor Nilay Hewitt Joanna Kuc Lucinda S Orsini Source Type: research

Machine Learning Prediction of Quality of Life Improvement During Antidepressant Treatment of Patients With Major Depressive Disorder: A STAR*D and CAN-BIND-1 Report
Conclusions: Machine learning can predict normative QoL after antidepressant treatment with similar performance to that of prior work predicting depressive symptom response and remission. These results suggest that QoL outcomes in MDD patients can be predicted with simple patient-rated measures and provide a foundation to further improve performance and demonstrate clinical utility.Trial Registration: ClinicalTrials.gov identifiers NCT00021528 and NCT01655706.PMID:37967350 | DOI:10.4088/JCP.23m14864 (Source: Journal of Clinical Psychiatry)
Source: Journal of Clinical Psychiatry - November 15, 2023 Category: Psychiatry Authors: Tejas Phaterpekar John-Jose Nunez Emma Morton Yang S Liu Bo Cao Benicio N Frey Roumen V Milev Daniel J M üller Susan Rotzinger Claudio N Soares Valerie H Taylor Rudolf Uher Sidney H Kennedy Raymond W Lam Source Type: research

Predictors and Risk Factors of Treatment-Resistant Depression: A Systematic Review
Conclusions: TRD is a complex disorder with many contributing factors that need to be identified and addressed earlier in the disease course to prevent its development or facilitate better treatment outcomes. Future work should focus on replicating the key predictors/risk factors identified in this review.PMID:37967334 | DOI:10.4088/JCP.23r14885 (Source: Journal of Clinical Psychiatry)
Source: Journal of Clinical Psychiatry - November 15, 2023 Category: Psychiatry Authors: Shane J O'Connor Nilay Hewitt Joanna Kuc Lucinda S Orsini Source Type: research

Machine Learning Prediction of Quality of Life Improvement During Antidepressant Treatment of Patients With Major Depressive Disorder: A STAR*D and CAN-BIND-1 Report
Conclusions: Machine learning can predict normative QoL after antidepressant treatment with similar performance to that of prior work predicting depressive symptom response and remission. These results suggest that QoL outcomes in MDD patients can be predicted with simple patient-rated measures and provide a foundation to further improve performance and demonstrate clinical utility.Trial Registration: ClinicalTrials.gov identifiers NCT00021528 and NCT01655706.PMID:37967350 | DOI:10.4088/JCP.23m14864 (Source: Journal of Clinical Psychiatry)
Source: Journal of Clinical Psychiatry - November 15, 2023 Category: Psychiatry Authors: Tejas Phaterpekar John-Jose Nunez Emma Morton Yang S Liu Bo Cao Benicio N Frey Roumen V Milev Daniel J M üller Susan Rotzinger Claudio N Soares Valerie H Taylor Rudolf Uher Sidney H Kennedy Raymond W Lam Source Type: research

Predictors and Risk Factors of Treatment-Resistant Depression: A Systematic Review
Conclusions: TRD is a complex disorder with many contributing factors that need to be identified and addressed earlier in the disease course to prevent its development or facilitate better treatment outcomes. Future work should focus on replicating the key predictors/risk factors identified in this review.PMID:37967334 | DOI:10.4088/JCP.23r14885 (Source: Journal of Clinical Psychiatry)
Source: Journal of Clinical Psychiatry - November 15, 2023 Category: Psychiatry Authors: Shane J O'Connor Nilay Hewitt Joanna Kuc Lucinda S Orsini Source Type: research

Machine Learning Prediction of Quality of Life Improvement During Antidepressant Treatment of Patients With Major Depressive Disorder: A STAR*D and CAN-BIND-1 Report
Conclusions: Machine learning can predict normative QoL after antidepressant treatment with similar performance to that of prior work predicting depressive symptom response and remission. These results suggest that QoL outcomes in MDD patients can be predicted with simple patient-rated measures and provide a foundation to further improve performance and demonstrate clinical utility.Trial Registration: ClinicalTrials.gov identifiers NCT00021528 and NCT01655706.PMID:37967350 | DOI:10.4088/JCP.23m14864 (Source: Journal of Clinical Psychiatry)
Source: Journal of Clinical Psychiatry - November 15, 2023 Category: Psychiatry Authors: Tejas Phaterpekar John-Jose Nunez Emma Morton Yang S Liu Bo Cao Benicio N Frey Roumen V Milev Daniel J M üller Susan Rotzinger Claudio N Soares Valerie H Taylor Rudolf Uher Sidney H Kennedy Raymond W Lam Source Type: research

Predictors and Risk Factors of Treatment-Resistant Depression: A Systematic Review
Conclusions: TRD is a complex disorder with many contributing factors that need to be identified and addressed earlier in the disease course to prevent its development or facilitate better treatment outcomes. Future work should focus on replicating the key predictors/risk factors identified in this review.PMID:37967334 | DOI:10.4088/JCP.23r14885 (Source: Journal of Clinical Psychiatry)
Source: Journal of Clinical Psychiatry - November 15, 2023 Category: Psychiatry Authors: Shane J O'Connor Nilay Hewitt Joanna Kuc Lucinda S Orsini Source Type: research