Publications
Department of Medicine faculty members published more than 3,000 peer-reviewed articles in 2022.
2016
OBJECTIVE
Finding effective and lasting treatments for patients with Major Depressive Disorder (MDD) that fail to respond optimally to initial standard treatment is a critical public health imperative. Understanding the nature and characteristics of patients prior to initiating "next-step" treatment is an important component of identifying which specific treatments are best suited for individual patients. We describe clinical features and demographic characteristics of a sample of Veterans who enrolled in a "next-step" clinical trial after failing to achieve an optimal outcome from at least one well-delivered antidepressant trial.
METHODS
1522 Veteran outpatients with nonpsychotic MDD completed assessments prior to being randomized to study treatment. Data is summarized and presented in terms of demographic, social, historical and clinical features and compared to a similar, non-Veteran sample.
RESULTS
Participants were largely male and white, with about half unmarried and half unemployed. They were moderately severely depressed, with about one-third reporting recent suicidal ideation. More than half had chronic and/or recurrent depression. General medical and psychiatric comorbidities were highly prevalent, particularly PTSD. Many had histories of childhood adversity and bereavement. Participants were impaired in multiple domains of their lives and had negative self-worth.
LIMITATIONS
These results may not be generalizable to females, and some characteristics may be specific to Veterans of US military service. There was insufficient data on age of clinical onset and depression subtypes, and three novel measures were not psychometrically validated.
CONCLUSIONS
Characterizing VAST-D participants provides important information to help clinicians understand features that may optimize "next-step" MDD treatments.
View on PubMed2016
2016
2016
2016
Multimorbidity, the presence of multiple coexisting diseases or conditions, afflicts the majority of older adults, and is associated with increased mortality and healthcare utilization. In addition, multimorbidity negatively impacts quality of life and increases symptom burden. Yet, there is a dearth of evidence on how to best manage symptoms in patients with multimorbidity. Research in this area has been hampered by inconsistent definitions of multimorbidity and challenges in outcome measurement. Investigations of symptom management strategies in specific disease states, like cancer, typically exclude medically complex patients. In the absence of evidence, the American Geriatrics Society's recommendations for the care of adults with multimorbidity provide a useful starting point for clinicians. We present a case to demonstrate how the AGS recommendations can be tailored to the situation of symptom management in patients with multimorbidity. We also present suggestions for future research directions.
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