Article
Psychology, Clinical
Ole Kohler-Forsberg, Louisa G. Sylvia, Vicki Fung, Lindsay Overhage, Michael Thase, Joseph R. Calabrese, Thilo Deckersbach, Mauricio Tohen, Charles L. Bowden, Melvin McInnis, James H. Kocsis, Edward S. Friedman, Terence A. Ketter, Susan L. McElroy, Richard C. Shelton, Michael J. Ostacher, Dan V. Iosifescu, Andrew A. Nierenberg
Summary: In this study, adjunctive antidepressant treatment was not associated with lower depressive symptoms or higher mania symptoms in outpatients with bipolar disorder. There were no differences in treatment effects on mania scales, and potential biases due to nonrandomized design complicated causal interpretations, with no evidence suggesting better treatment effects of adjunctive antidepressants.
DEPRESSION AND ANXIETY
(2021)
Article
Psychiatry
Dian-Jeng Li, Shih-Jen Tsai, Ya-Mei Bai, Tung-Ping Su, Tzeng-Ji Chen, Chih-Sung Liang, Mu-Hong Chen
Summary: This study aimed to investigate the association between a history of premenstrual dysphoric disorder (PMDD) and the subsequent risk of major affective disorders. The results showed that women with PMDD had a higher risk of developing unipolar depression and bipolar disorder compared to those without PMDD.
ASIAN JOURNAL OF PSYCHIATRY
(2023)
Article
Clinical Neurology
Ju-Wei Hsu, Li-Chi Chen, Shih-Jen Tsai, Kai-Lin Huang, Ya-Mei Bai, Tung-Ping Su, Tzeng-Ji Chen, Mu -Hong Chen
Summary: Studies have shown that there is a positive relationship between resistance to antidepressants and the progression of bipolar disorder. However, the specific influence of different types of antidepressants, such as SSRIs and SNRIs, in this context has not been thoroughly investigated. This study recruited a total of 5,285 young people with antidepressant-resistant depression and 21,140 with antidepressant-responsive depression. It was found that those with resistance to antidepressants, especially to both SSRIs and SNRIs, were at an increased risk of developing bipolar disorder.
EUROPEAN NEUROPSYCHOPHARMACOLOGY
(2023)
Review
Chemistry, Medicinal
Marek Krzystanek, Stanislaw Surma, Artur Palasz, Monika Romanczyk, Krzysztof Krysta
Summary: The antidepressant effects of memantine in bipolar depression are promising, with both experimental and clinical evidence supporting its efficacy. The presented case study demonstrates that memantine can be an effective and safe adjunct treatment for mood stabilization in bipolar depression. This suggests that memantine may offer a new approach for patients who do not respond well to traditional medications.
Article
Psychiatry
Tuyen T. Le, Joshua D. Di Vincenzo, Kayla M. Teopiz, Yena Lee, Danielle S. Cha, Leanna M. W. Lui, Nelson B. Rodrigues, Roger C. Ho, Bing Cao, Kangguang Lin, Flora Nasri, Hartej Gill, Orly Lipsitz, Mehala Subramaniapillai, Rodrigo B. Mansur, Joshua D. Rosenblat, Roger S. McIntyre
Summary: Psychotic depression is a severe subtype of major depressive disorder with high relapse and mortality rates. Ketamine may be an alternative pharmacotherapy, but its efficacy and safety in patients with psychotic depression have not been established.
PSYCHIATRY RESEARCH
(2021)
Article
Clinical Neurology
Paola Salvatore, Ross J. Baldessarini, Harimandir K. Khalsa, Mauricio Tohen
Summary: The study analyzed psychopathological details of prodromes leading to first-lifetime psychotic episodes and found that these features could predict and distinguish final diagnoses of MDD, BD-I, and SzAffD. The findings highlight the value of early psychopathology in predicting final diagnoses of major affective and schizoaffective disorders.
JOURNAL OF AFFECTIVE DISORDERS
(2021)
Article
Multidisciplinary Sciences
Rosanne J. J. Turner, Karin Hagoort, Rosa J. J. Meijer, Femke Coenen, Floortje E. E. Scheepers
Summary: Currently, it is challenging to choose the right antidepressant for individual patients. In this study, we used retrospective Bayesian network analysis and natural language processing to identify patterns in patient characteristics, treatment choices, and outcomes. We collected data from adult patients treated with antidepressants at two mental healthcare facilities in the Netherlands between 2014 and 2020. By analyzing clinical notes, we extracted outcome measures such as antidepressant continuation, prescription duration, and treatment outcome topics. Our findings revealed dependencies between treatment choices, patient characteristics, and outcomes. Tightly intertwined with treatment outcomes and prescription duration were the use of antipsychotics and benzodiazepines. Tricyclic antidepressant prescription and depressive disorder were significant predictors for antidepressant continuation. This study offers a feasible approach for pattern discovery in psychiatry data, and further research should explore the potential translation of these patterns into clinical decision support tools.
SCIENTIFIC REPORTS
(2023)
Article
Clinical Neurology
John J. Soderholm, J. Lumikukka Socada, Tom Rosenstrom, Jesper Ekelund, Erkki Isometsa
Summary: The course of illness differs between MDD, BD, and BPD patients. Bipolar depressive patients have an alternating course and the shortest time to first remission. The severity of BPD may predict the duration of remission from depression.
JOURNAL OF AFFECTIVE DISORDERS
(2022)
Article
Health Care Sciences & Services
Chih-Ken Chen, Lawrence Shih-Hsin Wu, Ming-Chyi Huang, Chian-Jue Kuo, Andrew Tai-Ann Cheng
Summary: This study investigates the effects of individual genomics and antidepressant medication on the risk of manic switch in bipolar I disorder. The results suggest that the rs10262219 variant on chromosome 7 and antidepressant treatment significantly increase the risk of manic switch after bipolar depression.
JOURNAL OF PERSONALIZED MEDICINE
(2022)
Article
Psychiatry
Bhupendra Khobragade, Vikas Sharma, Smita N. Deshpande
Summary: The cognitive effects of tobacco use among women with schizophrenia, bipolar disorder, or depression have not been extensively studied. However, a study found that female tobacco users in these groups demonstrated poorer cognitive functioning and smoking may exacerbate cognitive dysfunction associated with major mental illnesses among women.
PSYCHIATRY RESEARCH
(2021)
Article
Clinical Neurology
Wedad Alhassen, Siwei Chen, Marquis Vawter, Brianna Kay Robbins, Henry Nguyen, Thant Nyi Myint, Yumiko Saito, Anton Schulmann, Surya M. Nauli, Olivier Civelli, Pierre Baldi, Amal Alachkar
Summary: The study found that cilia genes play an important role in the pathogenesis of psychiatric disorders, with dysfunction potentially contributing to multiple disorders. Notably, cilia GPCRs genes and transition zone proteins were particularly affected in schizophrenia. This research provides new insights into the pathophysiology of these disorders.
PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY
(2021)
Review
Psychiatry
Ashley N. Siegel, Joshua D. Di Vincenzo, Elisa Brietzke, Hartej Gill, Nelson B. Rodrigues, Leanna M. W. Lui, Kayla M. Teopiz, Jason Ng, Roger Ho, Roger S. McIntyre, Joshua D. Rosenblat
Summary: This review evaluated the effects of intranasal esketamine and intravenous ketamine on patients with suicidal ideation. Results indicate that ketamine may rapidly reduce suicidal ideation and depressive symptoms, with potential short-lasting effects. The treatment was deemed relatively safe in the short term, and future clinical trials are encouraged to include this study population.
JOURNAL OF PSYCHIATRIC RESEARCH
(2021)
Article
Clinical Neurology
Yang Yang, Qian Cui, Fengmei Lu, Yajing Pang, Yuyan Chen, Qin Tang, Di Li, Ting Lei, Zongling He, Shan Hu, Jiaxin Deng, Huafu Chen
Summary: The study revealed abnormal functional connectivity patterns of DMN subsystems in patients with bipolar disorder during major depressive episodes, and these abnormalities were associated with high levels of pessimism, highlighting the importance of pathological mechanisms in this disorder.
JOURNAL OF AFFECTIVE DISORDERS
(2021)
Article
Clinical Neurology
Roger S. McIntyre, Orly Lipsitz, Leanna M. W. Lui, Nelson B. Rodrigues, Hartej Gill, Flora Nasri, Rui Ling, Kayla M. Teopiz, Roger C. Ho, Mehala Subramaniapillai, Kevin Kratiuk, Rodrigo B. Mansur, Brett D. M. Jones, Yena Lee, Joshua D. Rosenblat
Summary: The study aimed to identify a meaningful change threshold (MCT) in depression outcomes for adults with treatment-resistant MDD or BD receiving intravenous ketamine treatment. The results showed that a 3.5-point reduction in QIDS-SR16 represented a MCT based on PGI-S for these patients.
JOURNAL OF AFFECTIVE DISORDERS
(2021)
Article
Clinical Neurology
Danielle A. Goldman, Anjali Sankar, Alexandra Rich, Jihoon A. Kim, Brian Pittman, R. Todd Constable, Dustin Scheinost, Hilary P. Blumberg
Summary: This study aimed to identify functional connectivity differences between depressions of bipolar disorder (BD-Dep) and depressions of major depressive disorder (MDD-Dep). The results showed that there were significant differences in functional connectivity patterns between these two groups, suggesting the potential for early diagnosis and treatment strategies.
JOURNAL OF AFFECTIVE DISORDERS
(2022)
Article
Biochemical Research Methods
Gian Marco Visani, Michael C. Hughes, Soha Hassoun
Summary: The article presents a method to predict enzyme interactions with query molecules using machine-learning models, framing the problem as a multi-label classification task. Results show that the hierarchical multi-label neural network, EPP-HMCNF, is the best model for solving this problem.
Article
Psychiatry
Thomas H. McCoy, Victor M. Castro, Kamber L. Hart, Roy H. Perlis
Summary: This study demonstrated the successful prediction of delirium diagnosis risk using medication burden as a feature, with consistent performance across patients of different ages and genders.
GENERAL HOSPITAL PSYCHIATRY
(2021)
Article
Behavioral Sciences
James Luccarelli, Thomas H. McCoy, Alec P. Shannon, Brent P. Forester, Stephen J. Seiner, Michael E. Henry
Summary: This study analyzed the time in first lifetime acute course RUL-BP ECT for 1383 patients, revealing that 37.5% of patients were transitioned from RUL to bilateral treatments, while over 60% of patients continued to exclusively use RUL-BP parameters throughout their acute course.
Article
Clinical Neurology
James Luccarelli, Thomas H. McCoy, Stephen J. Seiner, Michael E. Henry
Summary: This study analyzed the factors affecting the duration of electrographic seizures during ECT treatment and found that seizure duration decreased with increasing treatment number and dose, indicating a sustained effect during treatment. Sex did not have a significant impact on seizure duration.
Article
Psychiatry
Sabine Wilhelm, Hilary Weingarden, Jennifer L. Greenberg, Susanne S. Hoeppner, Ivar Snorrason, Emily E. Bernstein, Thomas H. McCoy, Oliver T. Harrison
Summary: This study tested the usability and efficacy of coach-supported app-based cognitive behavioral therapy (CBT) for body dysmorphic disorder (BDD). The results showed that the Perspectives app-based CBT significantly reduced the severity of BDD and improved secondary outcomes.
PSYCHOTHERAPY AND PSYCHOSOMATICS
(2022)
Article
Biochemistry & Molecular Biology
Victor M. Castro, Jonathan Rosand, Joseph T. Giacino, Thomas H. McCoy, Roy H. Perlis
Summary: Neuropsychiatric symptoms may persist following acute COVID-19 illness, but they are not specific to COVID-19 and occur at similar rates among individuals hospitalized for other indications.
MOLECULAR PSYCHIATRY
(2022)
Article
Cardiac & Cardiovascular Systems
Benjamin S. Wessler, Zhe Huang, Gary M. Long, Stefano Pacifici, Nishant Prashar, Samuel Karmiy, Roman A. Sandler, Joseph Z. Sokol, Daniel B. Sokol, Monica M. Dehn, Luisa Maslon, Eileen Mai, Ayan R. Patel, Michael C. Hughes
Summary: Limited two-dimensional echocardiographic data can be used to develop automated methods for detecting aortic stenosis (AS). Convolutional neural networks were trained and tested to achieve fully automated screening for AS with high accuracy.
JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY
(2023)
Article
Oncology
Nauman S. Siddiqui, Andreas Klein, Amandeep Godara, Rachel J. Buchsbaum, Michael C. Hughes
Summary: Machine learning algorithms trained using factors available at the time of admission for AML therapy can predict inpatient mortality in patients undergoing chemotherapy for acute myeloid leukemia.
JCO CLINICAL CANCER INFORMATICS
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Michael T. Wojnowicz, Shuchin Aeron, Eric L. Miller, Michael C. Hughes
Summary: This paper presents a new class of generalized linear models (GLMs) for categorical data and proposes a posterior approximation method based on binary categorical-from-binary (CB) models, which allows for fast and simple inference. The quality of the approximation can be improved through Bayesian model averaging. Experimental results show that this method outperforms other posterior estimation methods in dealing with a large number of categories.
INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 162
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Preetish Rath, Michael C. Hughes
Summary: Early warning prediction systems can suffer from high false alarm rates, especially in settings with high class imbalance such as healthcare. The dominant classifier training paradigm, minimizing cross entropy, does not differentiate false alarms from other types of mistakes. We propose a comprehensive solution by changing the loss function used to train the classifier, maximizing recall while enforcing a constraint on precision.
INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 151
(2022)
Article
Obstetrics & Gynecology
Mark A. Clapp, Kaitlyn E. James, Thomas H. McCoy, Roy H. Perlis, Anjali J. Kaimal
Summary: The study aimed to determine if the incorporation of intrapartum factors known at the start of the second stage of labor improves the predictive performance of a comorbidity-based risk tool for severe maternal morbidity. Through a retrospective cohort study of women at eight hospitals in a single health system, it was found that combining intrapartum factors with a validated risk tool (Expanded Obstetric Comorbidity Score) can enhance the ability to predict severe maternal morbidity at the start of the second stage.
AMERICAN JOURNAL OF OBSTETRICS & GYNECOLOGY MFM
(2022)
Article
Psychiatry
Victor M. Castro, Chana A. Sacks, Roy H. Perlis, Thomas H. McCoy
Summary: Researchers developed a predictive model for incident delirium among coronavirus disease 2019 patients using machine learning, which was validated in multiple hospitals with stable performance across different subgroups. This study provides a new approach for risk stratification of delirium patients during pandemics.
JOURNAL OF THE ACADEMY OF CONSULTATION-LIAISON PSYCHIATRY
(2021)
Letter
Obstetrics & Gynecology
Mark A. Clapp, Thomas H. McCoy, Kaitlyn E. James, Anjali J. Kaimal, Roy H. Perlis
AMERICAN JOURNAL OF OBSTETRICS & GYNECOLOGY MFM
(2021)
Article
Psychiatry
Kamber L. Hart, Roy H. Perlis, Thomas H. McCoy
Summary: This study utilized a natural language processing tool to estimate Research Domain Criteria domain-associated symptoms in individuals admitted to nonpsychiatric wards at two large general hospitals. The results indicate that the burden of Research Domain Criteria symptoms is more strongly associated with the primary hospital medical or surgical diagnosis rather than with the presence of a previous psychiatric history. The bidirectional relationship between psychiatric and somatic illness warrants further investigation through the lens of transdiagnostic phenotyping.
JOURNAL OF THE ACADEMY OF CONSULTATION-LIAISON PSYCHIATRY
(2021)