Objective:The purpose of this study was to examine the influence of comorbid anxiety symptoms on antidepressant treatment remission in older adults with major depressive disorder (MDD).

Method:In this multisite clinical trial, 468 older adults aged 60 years or older with MDD received open-label protocolized treatment with venlafaxine extended release (ER) titrated to a maximum of 300 mg daily. At baseline, anxiety was assessed with the Anxiety Sensitivity Index, the Brief Symptom Inventory (BSI) anxiety subscale, and the Penn State Worry Questionnaire. To measure treatment response, depressive symptoms and suicidality were assessed every 1-2 weeks with the Montgomery-Asberg Depression Rating Scale and the 19-item Scale for Suicide Ideation; anxiety was assessed with the BSI. Logistic regression and survival analysis were used to evaluate whether anxiety symptoms predicted depression remission. We also examined the relationships between anxiety scores and suicidality at baseline.

Results:Baseline anxiety symptoms did not predict remission or time to remission of depressive symptoms. Depressive, worry, and panic symptoms decreased in parallel in patients with high anxiety. Anxiety symptoms were associated with the severity of depression and with suicidality.

Conclusion:In older adults with MDD, comorbid anxiety symptoms are associated with symptom severity but do not affect antidepressant remission or time to remission.

Background

Ovarian cancer (OC) requires complex multidisciplinary care with wide variations in outcome. We sought to determine the impact of institutional and process of care factors on overall survival (OS) and delivery of guideline care nationally.

Methods

This was a retrospective cohort study of primary OC diagnosed from 1998 to 2007 using the National Cancer Data Base (NCDB) capturing 80% of all U.S. cases. Patient- (demographics, comorbidities, stage/grade), process of care (adherence to guidelines) and institutional- (facility type, case volume) factors were evaluated. Primary outcomes were OS and delivery of guideline therapy. Multivariable logistic regression and Cox proportional hazards models were used for analysis.

Results

We analyzed 96,802 consecutive cases. Five-year OS was 84%, 66.3%, 32% and 15.7% for stages I, II, III and IV, respectively. The annual mean facility case volumes varied by cancer center type (range: 5.7 to 26.7), with 25% of cases spread over 65% of centers--all treating fewer than 8 cases. Overall, 56% of cases received non-guideline care. Low facility case volume and higher comorbidity index independently predicted non-guideline care; high volume centers were less likely to deliver non-guideline care (OR: 0.44, 95% CI: 0.41-0.47). Delivery of non-guideline care (OR: 1.4, 95% CI: 1.36-1.44), and higher facility case volume (OR: 0.91, 95% CI: 0.86-0.96) were both independent predictors of OS.

Conclusions

Delivery of guideline care and facility case volume are important drivers of overall survival. Most cancer centers treat very few women with OC. National efforts should focus on improved access to centers with expertise in OC and ensuring delivery of guideline care.

We describe and apply novel methodology for whole-brain analysis of resting state fMRI functional connectivity data, combining conventional multi-channel Pearson correlation with covariance analysis. Unlike correlation, covariance analysis preserves signal amplitude information, which feature of fMRI time series may carry physiological significance. Additionally, we demonstrate that dimensionality reduction of the fMRI data offers several computational advantages including projection onto a space of manageable dimension, enabling linear operations on functional connectivity measures and exclusion of variance unrelated to resting state network structure. We show that group-averaged, dimensionality reduced, covariance and correlation matrices are related, to reasonable approximation, by a single scalar factor. We apply this methodology to the analysis of a large, resting state fMRI data set acquired in a prospective, controlled study of mindfulness training and exercise in older, sedentary participants at risk for developing cognitive decline. Results show marginally significant effects of both mindfulness training and exercise in both covariance and correlation measures of functional connectivity.

Objective

To determine the effect of the COVID-19 pandemic on the mental health of older adults with pre-existing major depressive disorder (MDD).

Participants

Participants were 73 community-living older adults with pre-existing MDD (mean age 69 [SD 6]) in Los Angeles, New York, Pittsburgh, and St Louis.

Design and measurements

During the first 2 months of the pandemic, the authors interviewed participants with a semistructured qualitative interview evaluating access to care, mental health, quality of life, and coping. The authors also assessed depression, anxiety, and suicidality with validated scales and compared scores before and during the pandemic.

Results

Five themes from the interviews highlight the experience of older adults with MDD: 1) They are more concerned about the risk of contracting the virus than the risks of isolation. 2) They exhibit resilience to the stress and isolation of physical distancing. 3) Most are not isolated socially, with virtual contact with friends and family. 4) Their quality of life is lower, and they worry their mental health will suffer with continued physical distancing. 5) They are outraged by an inadequate governmental response to the pandemic. Depression, anxiety, and suicidal ideation symptom scores did not differ from scores before the pandemic.

Conclusion

Most older adults with pre-existing MDD show resilience in the first 2 months of the COVID-19 pandemic but have concerns about the future. Policies and interventions to provide access to medical services and opportunities for social interaction are needed to help to maintain mental health and quality of life as the pandemic continues.

Background/aims

Age-related cognitive decline is a pervasive problem in our aging population. To date, no pharmacological treatments to halt or reverse cognitive decline are available. Behavioral interventions, such as physical exercise and Mindfulness-Based Stress Reduction, may reduce or reverse cognitive decline, but rigorously designed randomized controlled trials are needed to test the efficacy of such interventions.

Methods

Here, we describe the design of the Mindfulness, Education, and Exercise study, an 18-month randomized controlled trial that will assess the effect of two interventions-mindfulness training plus moderate-to-vigorous intensity exercise or moderate-to-vigorous intensity exercise alone-compared with a health education control group on cognitive function in older adults. An extensive battery of biobehavioral assessments will be used to understand the mechanisms of cognitive remediation, by using structural and resting state functional magnetic resonance imaging, insulin sensitivity, inflammation, and metabolic and behavioral assessments.

Results

We provide the results from a preliminary study (n = 29) of non-randomized pilot participants who received both the exercise and Mindfulness-Based Stress Reduction interventions. We also provide details on the recruitment and baseline characteristics of the randomized controlled trial sample (n = 585).

Conclusion

When complete, the Mindfulness, Education, and Exercise study will inform the research community on the efficacy of these widely available interventions improve cognitive functioning in older adults.