Fatness but Not Fitness Linked to BrainAge: Longitudinal Changes in Brain Aging during an Exercise Intervention

PURPOSE

Fitness, physical activity, body composition, and sleep have all been proposed to explain differences in brain health. We hypothesized that an exercise intervention would result in improved fitness and body composition and would be associated with improved structural brain health.

METHODS

In a randomized controlled trial, we studied 485 older adults who engaged in an exercise intervention ( n = 225) or a nonexercise comparison condition ( n = 260). Using magnetic resonance imaging, we estimated the physiological age of the brain (BrainAge) and derived a predicted age difference compared with chronological age (brain-predicted age difference (BrainPAD)). Aerobic capacity, physical activity, sleep, and body composition were assessed and their impact on BrainPAD explored.

RESULTS

There were no significant differences between experimental groups for any variable at any time point. The intervention group gained fitness, improved body composition, and increased total sleep time but did not have significant changes in BrainPAD. Analyses of changes in BrainPAD independent of group assignment indicated significant associations with changes in body fat percentage ( r (479) = 0.154, P = 0.001), and visceral adipose tissue (VAT) ( r (478) = 0.141, P = 0.002), but not fitness ( r (406) = -0.075, P = 0.129), sleep ( r (467) range, -0.017 to 0.063; P range, 0.171 to 0.710), or physical activity ( r (471) = -0.035, P = 0.444). With linear regression, changes in body fat percentage and VAT significantly predicted changes in BrainPAD ( β = 0.948, P = 0.003) with 1-kg change in VAT predicting 0.948 yr of change in BrainPAD.

CONCLUSIONS

In cognitively normal older adults, exercise did not appear to impact BrainPAD, although it was effective in improving fitness and body composition. Changes in body composition, but not fitness, physical activity, or sleep impacted BrainPAD. These findings suggest that focus on weight control, particularly reduction of central obesity, could be an interventional target to promote healthier brains.

A Digital Intervention to Promote Self-Management Self-Efficacy Among Community-Dwelling Individuals With Stroke: Pilot Randomized Controlled Trial

BACKGROUND

Digital interventions provided through smartphones or the internet that are guided by a coach have been proposed as promising solutions to support the self-management of chronic conditions. However, digital intervention for poststroke self-management is limited; we developed the interactive Self-Management Augmented by Rehabilitation Technologies (iSMART) intervention to address this gap.

OBJECTIVE

This study aimed to examine the feasibility and initial effects of the iSMART intervention to improve self-management self-efficacy in people with stroke.

METHODS

A parallel, 2-arm, nonblinded, randomized controlled trial of 12-week duration was conducted. A total of 24 participants with mild-to-moderate chronic stroke were randomized to receive either the iSMART intervention or a manual of stroke rehabilitation (attention control). iSMART was a coach-guided, technology-supported self-management intervention designed to support people managing chronic conditions and maintaining active participation in daily life after stroke. Feasibility measures included retention and engagement rates in the iSMART group. For both the iSMART intervention and active control groups, we used the Feasibility of Intervention Measure, Acceptability of Intervention Measure, and Intervention Appropriateness Measure to assess the feasibility, acceptability, and appropriateness, respectively. Health measures included the Participation Strategies Self-Efficacy Scale and the Patient-Reported Outcomes Measurement Information System's Self-Efficacy for Managing Chronic Conditions.

RESULTS

The retention rate was 82% (9/11), and the engagement (SMS text message response) rate was 78% for the iSMART group. Mean scores of the Feasibility of Intervention Measure, Acceptability of Intervention Measure, and Intervention Appropriateness Measure were 4.11 (SD 0.61), 4.44 (SD 0.73), and 4.36 (SD 0.70), respectively, which exceeded our benchmark (4 out of 5), suggesting high feasibility, acceptability, and appropriateness of iSMART. The iSMART group showed moderate-to-large effects in improving self-efficacy in managing emotions (r=0.494), symptoms (r=0.514), daily activities (r=0.593), and treatments and medications (r=0.870), but the control group showed negligible-to-small effects in decreasing self-efficacy in managing emotions (r=0.252), symptoms (r=0.262), daily activities (r=0.136), and treatments and medications (r=0.049). In addition, the iSMART group showed moderate-to-large effects of increasing the use of participation strategies for management in the home (r=0.554), work (r=0.633), community (r=0.673), and communication activities (r=0.476). In contrast, the control group showed small-to-large effects of decreasing the use of participation strategies for management in the home (r=0.567), work (r=0.342, community (r=0.215), and communication activities (r=0.379).

CONCLUSIONS

Our findings support the idea that iSMART was feasible to improve poststroke self-management self-efficacy. Our results also support using a low-cost solution, such as SMS text messaging, to supplement traditional therapeutic patient education interventions. Further evaluation with a larger sample of participants is still needed.

TRIAL REGISTRATION

ClinicalTrials.gov 202004137; https://clinicaltrials.gov/study/NCT04743037?id=202004137&rank=1.

Association between lean muscle mass and treatment-resistant late-life depression in the IRL-GRey randomized controlled trial

OBJECTIVE

To investigate the relationship between lean muscle mass and treatment response in treatment-resistant late-life depression (TR-LLD). We hypothesized that lower lean muscle mass would be associated with older age, higher physical comorbidities, higher depressive symptom severity, and poorer treatment response.

DESIGN

Secondary analysis of a randomized, placebo-controlled trial.

SETTING

Three academic hospitals in the United States and Canada.

PARTICIPANTS

Adults aged 60+ years with major depressive disorder who did not remit following open treatment with venlafaxine extended-release (XR) (n = 178).

MEASUREMENTS

We estimated lean muscle mass using dual-energy X-ray absorptiometry (DEXA) scans prior to and following randomized treatment with aripiprazole or placebo added to venlafaxine XR. Multivariate regressions estimated influence of demographic and clinical factors on baseline lean muscle mass, and whether baseline lean muscle mass was associated with treatment response, adjusted for treatment arm.

RESULTS

Low lean muscle mass was present in 22 (12.4%) participants. Older age and female sex, but not depressive symptom severity, were independently associated with lower lean muscle mass at baseline. Marital status, baseline depressive symptom severity, and treatment group were associated with improvement of depressive symptoms in the randomized treatment phase. Baseline lean muscle mass was not associated with improvement, regardless of treatment group.

CONCLUSION

As expected, older age and female sex were associated with lower lean muscle mass in TR-LLD. However, contrary to prior results in LLD, lean muscle mass was not associated with depression severity or outcome. This suggests that aripiprazole augmentation may be useful for TR-LLD, even in the presence of anomalous body composition.clinicaltrials.gov Identifier: NCT00892047.

Using Intervention Mapping and Behavior Change Techniques to Develop a Digital Intervention for Self-Management in Stroke: Development Study

BACKGROUND

Digital therapeutics, such as interventions provided via smartphones or the internet, have been proposed as promising solutions to support self-management in persons with chronic conditions. However, the evidence supporting self-management interventions through technology in stroke is scarce, and the intervention development processes are often not well described, creating challenges in explaining why and how the intervention would work.

OBJECTIVE

This study describes a specific use case of using intervention mapping (IM) and the taxonomy of behavior change techniques (BCTs) in designing a digital intervention to manage chronic symptoms and support daily life participation in people after stroke. IM is an implementation science framework used to bridge the gap between theories and practice to ensure that the intervention can be implemented in real-world settings. The taxonomy of BCTs consists of a set of active ingredients designed to change self-management behaviors.

METHODS

We used the first 4 steps of the IM process to develop a technology-supported self-management intervention, interactive Self-Management Augmented by Rehabilitation Technologies (iSMART), adapted from a face-to-face stroke-focused psychoeducation program. Planning group members were involved in adapting the intervention. They also completed 3 implementation measures to assess the acceptability, appropriateness, and feasibility of iSMART.

RESULTS

In step 1, we completed a needs assessment consisting of assembling a planning group to codevelop the intervention, conducting telephone surveys of people after stroke (n=125) to identify service needs, and performing a systematic review of randomized controlled trials to examine evidence of the effectiveness of digital self-management interventions to improve patient outcomes. We identified activity scheduling, symptom management, stroke prevention, access to care resources, and cognitive enhancement training as key service needs after a stroke. The review suggested that digital self-management interventions, especially those using cognitive behavioral theory, effectively reduce depression, anxiety, and fatigue and enhance self-efficacy in neurological disorders. Step 2 identified key determinants, objectives, and strategies for self-management in iSMART, including knowledge, behavioral regulation, skills, self-efficacy, motivation, negative and positive affect, and social and environmental support. In step 3, we generated the intervention components underpinned by appropriate BCTs. In step 4, we developed iSMART with the planning group members. Especially, iSMART simplified the original psychoeducation program and added 2 new components: SMS text messaging and behavioral coaching, intending to increase the uptake by people after stroke. iSMART was found to be acceptable (mean score 4.63, SD 0.38 out of 5), appropriate (mean score 4.63, SD 0.38 out of 5), and feasible (mean score 4.58, SD 0.34 out of 5).

CONCLUSIONS

We describe a detailed example of using IM and the taxonomy of BCTs for designing and developing a digital intervention to support people after stroke in managing chronic symptoms and maintaining active participation in daily life.

Comparison of Electronic Health Record Messages to Mental Health Care Professionals Before vs After COVID-19 Pandemic

This qualitative improvement study examines the change in electronic health record messaging from patients to mental health professionals before vs after the COVID-19 pandemic.

Supporting the Resilience and Mental Health of Missouri Healthcare Workers Through COVID-19 and Beyond: the Gateway2Wellness Program

The COVID-19 pandemic is over, but US healthcare workers (HCWs) continue to report high levels of work-related exhaustion and burnout but are unlikely to seek help. Digital tools offer a scalable solution. Between February and June 2022, we surveyed Missouri hospital administrators to assess HCW mental health and identify related evidence-based or evidence-informed resources. Simultaneously, we conducted a digital survey and focus groups with HCWs and leaders at Washington University School of Medicine (WUSOM) in St. Louis to evaluate HCW mental health needs, and preferences for digital support. Here, we describe the results and subsequent development of the Gateway to Wellness (G2W) program, a digital precision engagement platform that links HCWs to the most effective tailored resources for their mental health needs.

Antidepressant Augmentation versus Switch in Treatment-Resistant Geriatric Depression

BACKGROUND

The benefits and risks of augmenting or switching antidepressants in older adults with treatment-resistant depression have not been extensively studied.

METHODS

We conducted a two-step, open-label trial involving adults 60 years of age or older with treatment-resistant depression. In step 1, patients were randomly assigned in a 1:1:1 ratio to augmentation of existing antidepressant medication with aripiprazole, augmentation with bupropion, or a switch from existing antidepressant medication to bupropion. Patients who did not benefit from or were ineligible for step 1 were randomly assigned in step 2 in a 1:1 ratio to augmentation with lithium or a switch to nortriptyline. Each step lasted approximately 10 weeks. The primary outcome was the change from baseline in psychological well-being, assessed with the National Institutes of Health Toolbox Positive Affect and General Life Satisfaction subscales (population mean, 50; higher scores indicate greater well-being). A secondary outcome was remission of depression.

RESULTS

In step 1, a total of 619 patients were enrolled; 211 were assigned to aripiprazole augmentation, 206 to bupropion augmentation, and 202 to a switch to bupropion. Well-being scores improved by 4.83 points, 4.33 points, and 2.04 points, respectively. The difference between the aripiprazole-augmentation group and the switch-to-bupropion group was 2.79 points (95% CI, 0.56 to 5.02; P = 0.014, with a prespecified threshold P value of 0.017); the between-group differences were not significant for aripiprazole augmentation versus bupropion augmentation or for bupropion augmentation versus a switch to bupropion. Remission occurred in 28.9% of patients in the aripiprazole-augmentation group, 28.2% in the bupropion-augmentation group, and 19.3% in the switch-to-bupropion group. The rate of falls was highest with bupropion augmentation. In step 2, a total of 248 patients were enrolled; 127 were assigned to lithium augmentation and 121 to a switch to nortriptyline. Well-being scores improved by 3.17 points and 2.18 points, respectively (difference, 0.99; 95% CI, -1.92 to 3.91). Remission occurred in 18.9% of patients in the lithium-augmentation group and 21.5% in the switch-to-nortriptyline group; rates of falling were similar in the two groups.

CONCLUSIONS

In older adults with treatment-resistant depression, augmentation of existing antidepressants with aripiprazole improved well-being significantly more over 10 weeks than a switch to bupropion and was associated with a numerically higher incidence of remission. Among patients in whom augmentation or a switch to bupropion failed, changes in well-being and the occurrence of remission with lithium augmentation or a switch to nortriptyline were similar. (Funded by the Patient-Centered Outcomes Research Institute; OPTIMUM ClinicalTrials.gov number, NCT02960763.).

Psychedelic Drug Legislative Reform and Legalization in the US

Importance

Psychedelic drugs are becoming accessible in the US through a patchwork of state legislative reforms. This shift necessitates consensus on treatment models, education and guidance for health care professionals, and planning for implementation and regulation.

Objective

To assess trends in psychedelics legislative reform and legalization in the US to provide guidance to health care professionals, policy makers, and the public.

Evidence Review

Data were compiled from legislative databases (BillTrack50, LexisNexis, and Ballotpedia) from January 1, 2019, to September 28, 2022. Legislation was identified by searching for terms related to psychedelics (eg, psilocybin, MDMA, peyote, mescaline, ibogaine, LSD, ayahuasca, and DMT). Bills were coded by an attorney along 2 axes: which psychedelic drugs would be affected and in what ways (eg, decriminalization, funding for medical research, and right to try). To explore drivers and rates of legislative reform, data were compared with other state indices including 2020 presidential voting margins and marijuana legislative reform.

Findings

Twenty-five states have considered 74 bills (69 legislative initiatives, 5 ballot measures); 10 bills were enacted, and 32 were still active. The number of psychedelic reform bills introduced during each calendar year increased steadily from 5 in 2019 to 6 in 2020, 27 in 2021, and 36 in 2022. Nearly all bills specified psilocybin (67 [90%]), and many also included MDMA (3,4-methylenedioxy-methamphetamine; 27 [36%]). While bills varied in their framework, most (43 [58%]) proposed decriminalization, of which few delineated medical oversight (10 of 43 [23%]) or training and/or licensure requirements (15 of 43 [35%]). In general, bills contained less regulatory guidance than the enacted Oregon Measure 109. While early legislative efforts occurred in liberal states, the margin between liberal and conservative states has decreased over time (although the difference was not significant), suggesting that psychedelic drug reform is becoming a bipartisan issue. In addition, an analytic model based on marijuana legalization projected that a majority of states will legalize psychedelics by 2034 to 2037.

Conclusions and Relevance

Legislative reform for psychedelic drugs has been proceeding in a rapid, patchwork fashion in the US. Further consideration should be given to key health care issues such as establishing (1) standards for drugs procured outside the medical establishment, (2) licensure criteria for prescribers and therapists, (3) clinical and billing infrastructure, (4) potential contraindications, and (5) use in special populations like youths, older adults, and pregnant individuals.

Effects of Mindfulness Training and Exercise on Cognitive Function in Older Adults: A Randomized Clinical Trial

IMPORTANCE

Episodic memory and executive function are essential aspects of cognitive functioning that decline with aging. This decline may be ameliorable with lifestyle interventions.

OBJECTIVE

To determine whether mindfulness-based stress reduction (MBSR), exercise, or a combination of both improve cognitive function in older adults.

DESIGN, SETTING, AND PARTICIPANTS

This 2 × 2 factorial randomized clinical trial was conducted at 2 US sites (Washington University in St Louis and University of California, San Diego). A total of 585 older adults (aged 65-84 y) with subjective cognitive concerns, but not dementia, were randomized (enrollment from November 19, 2015, to January 23, 2019; final follow-up on March 16, 2020).

INTERVENTIONS

Participants were randomized to undergo the following interventions: MBSR with a target of 60 minutes daily of meditation (n = 150); exercise with aerobic, strength, and functional components with a target of at least 300 minutes weekly (n = 138); combined MBSR and exercise (n = 144); or a health education control group (n = 153). Interventions lasted 18 months and consisted of group-based classes and home practice.

MAIN OUTCOMES AND MEASURES

The 2 primary outcomes were composites of episodic memory and executive function (standardized to a mean [SD] of 0 [1]; higher composite scores indicate better cognitive performance) from neuropsychological testing; the primary end point was 6 months and the secondary end point was 18 months. There were 5 reported secondary outcomes: hippocampal volume and dorsolateral prefrontal cortex thickness and surface area from structural magnetic resonance imaging and functional cognitive capacity and self-reported cognitive concerns.

RESULTS

Among 585 randomized participants (mean age, 71.5 years; 424 [72.5%] women), 568 (97.1%) completed 6 months in the trial and 475 (81.2%) completed 18 months. At 6 months, there was no significant effect of mindfulness training or exercise on episodic memory (MBSR vs no MBSR: 0.44 vs 0.48; mean difference, -0.04 points [95% CI, -0.15 to 0.07]; P = .50; exercise vs no exercise: 0.49 vs 0.42; difference, 0.07 [95% CI, -0.04 to 0.17]; P = .23) or executive function (MBSR vs no MBSR: 0.39 vs 0.31; mean difference, 0.08 points [95% CI, -0.02 to 0.19]; P = .12; exercise vs no exercise: 0.39 vs 0.32; difference, 0.07 [95% CI, -0.03 to 0.18]; P = .17) and there were no intervention effects at the secondary end point of 18 months. There was no significant interaction between mindfulness training and exercise (P = .93 for memory and P = .29 for executive function) at 6 months. Of the 5 prespecified secondary outcomes, none showed a significant improvement with either intervention compared with those not receiving the intervention.

CONCLUSIONS AND RELEVANCE

Among older adults with subjective cognitive concerns, mindfulness training, exercise, or both did not result in significant differences in improvement in episodic memory or executive function at 6 months. The findings do not support the use of these interventions for improving cognition in older adults with subjective cognitive concerns.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02665481.

National Trends in Pediatric Metabolic and Bariatric Surgery: 2010-2017

BACKGROUND

The childhood obesity epidemic has grown exponentially and is known to disproportionately affect minority groups. Successful treatment of this complex health issue requires a multidisciplinary approach including metabolic and bariatric surgery (MBS) for qualifying pediatric patients. This study examines current national trends in pediatric bariatric surgery from 2010 to 2017 using the National Inpatient Sample.

METHODS

This study analyzed MBS among pediatric patients <19 years old using weighted discharge data from 2010 to 2017. The primary outcome was national procedure rates. Secondary analyses included procedure type, demographics, BMI, comorbidities, length of stay, and complication rates.

RESULTS

From 2010 to 2017, annual bariatric procedure rates increased from 2.29 to 4.62 per 100 000 (P < .001). Laparoscopic sleeve gastrectomy outpaced Roux-en-Y gastric bypass and laparoscopic adjustable gastric band over time (0.31-3.99 per 100 000, P < .0001). The mean age was stable over time 18.10-17.96 (P = .78). The cohort was primarily female (76.5% to 75.4%), white (54.0% to 45.0%), and privately-insured (59.9% to 53.4%). Preoperative BMI increased from 2010 to 2017 (P < .001), whereas number of obesity-related comorbidities was stable (P > .05). Length of stay was <2 days (2.02-1.75, P = .04) and in-hospital complication rates were low (7.2% to 6.45%, P = .88).

CONCLUSIONS

Pediatric MBS is underutilized nationally with disproportionately lower rates among minority groups. Despite incremental progress, further investigation into the racial and social determinants that limit access to pediatric weight loss surgery is critical.

Fatness, fitness and the aging brain: A cross sectional study of the associations between a physiological estimate of brain age and physical fitness, activity, sleep, and body composition

Introduction

Changes in brain structure and function occur with aging. However, there is substantial heterogeneity both in terms of when these changes begin, and the rate at which they progress. Understanding the mechanisms and/or behaviors underlying this heterogeneity may allow us to act to target and slow negative changes associated with aging.

Methods

Using T1 weighted MRI images, we applied a novel algorithm to determine the physiological age of the brain (brain-predicted age) and the predicted age difference between this physiologically based estimate and chronological age (BrainPAD) to 551 sedentary adults aged 65 to 84 with self-reported cognitive complaint measured at baseline as part of a larger study. We also assessed maximal aerobic capacity with a graded exercise test, physical activity and sleep with accelerometers, and body composition with dual energy x-ray absorptiometry. Associations were explored both linearly and logistically using categorical groupings.

Results

Visceral Adipose Tissue (VAT), Total Sleep Time (TST) and maximal aerobic capacity all showed significant associations with BrainPAD. Greater VAT was associated with higher (i.e,. older than chronological) BrainPAD (r = 0.149 p = 0.001)Greater TST was associated with higher BrainPAD (r = 0.087 p = 0.042) and greater aerobic capacity was associated with lower BrainPAD (r = - 0.088 p = 0.040). With linear regression, both VAT and TST remained significant (p = 0.036 and 0.008 respectively). Each kg of VAT predicted a 0.741 year increase in BrainPAD, and each hour of increased TST predicted a 0.735 year increase in BrainPAD. Maximal aerobic capacity did not retain statistical significance in fully adjusted linear models.

Discussion

Accumulation of visceral adipose tissue and greater total sleep time, but not aerobic capacity, total daily physical activity, or sleep quantity and/or quality are associated with brains that are physiologically older than would be expected based upon chronological age alone (BrainPAD).

Mindfulness Training for Depressed Older Adults Using Smartphone Technology: Protocol for a Fully Remote Precision Clinical Trial

BACKGROUND

Precision medicine, optimized interventions, and access to care are catchphrases for the future of behavioral treatments. Progress has been slow due to the dearth of clinical trials that optimize interventions' benefits, individually tailor interventions to meet individual needs and preferences, and lead to rapid implementation after effectiveness is demonstrated. Two innovations have emerged to meet these challenges: fully remote trials and precision clinical trials.

OBJECTIVE

This paper provides a detailed description of Mindful MyWay, a study designed to test online mindfulness training in older adults with depression. Consistent with the concept of fully remote trials using a smartphone app, the study requires no in-person contact and can be conducted with participants anywhere in the United States. Based upon the precision medicine framework, the study assesses participants using high-frequency assessments of symptoms, cognitive performance, and patient preferences to both understand the individualized nature of treatment response and help individually tailor the intervention.

METHODS

Mindful MyWay is an open-label early-phase clinical trial for individuals 65 years and older with current depression. A smartphone app was developed to help coordinate the study, deliver the intervention, and evaluate the acceptability of the intervention, as well as predictors and outcomes of it. The curriculum for the fully remote intervention parallels the mindfulness-based stress reduction curriculum, a protocolized group-based mindfulness training that is typically provided in person. After consent and screening, participants download The Healthy Mind Lab mobile health smartphone app from the Apple App Store, allowing them to complete brief smartphone-based assessments of depressive symptoms and cognitive performance 4 times each day for 4 weeks prior to and after completing the intervention. The intervention consists of an introduction video and 10 weekly mindfulness training sessions, with the expectation to practice mindfulness at home daily. The app collects participant preference data throughout the 10-week intervention period; these high-frequency assessments identify participants' individually dynamic preferences toward the goal of optimizing the intervention in future iterations.

RESULTS

Participant recruitment and data collection began in March 2019. Final end point assessments will be collected in May 2022. The paper describes lessons learned regarding the critical role of early-phase testing prior to moving to a randomized trial.

CONCLUSIONS

The Mindful MyWay study is an exemplar of innovative clinical trial designs that use smartphone technology in behavioral and neuropsychiatric conditions. These include fully remote studies that can recruit throughout the United States, including hard-to-access areas, and collect high-frequency data, which is ideal for idiographic assessment and individualized intervention optimization. Our findings will be used to modify our methods and inform future randomized controlled trials within a precision medicine framework.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03922217; https://clinicaltrials.gov/ct2/show/NCT03922217.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/39233.

Using Innovation-Corps (I-Corps™) Methods to Adapt a Mobile Health (mHealth) Obesity Treatment for Community Mental Health Settings

Background

We employed Innovation Corps (I-Corps™) methods to adaptation of a mobile health (mHealth) short-message-system (SMS) -based interactive obesity treatment approach (iOTA) for adults with severe mentall illness receiving care in community settings.

Methods

We hypothesized "jobs to be done" in three broad stakeholder groups: "decision makers" (DM = state and community clinic administrators), "clinician consumers" (CC = case managers, peer supports, nurses, prescribers) and "service consumers" (SC = patients, peers and family members). Semistructured interviews (N = 29) were recorded and transcribed ver batim and coded based on pragmatic-variant grounded theory methods.

Results

Four themes emerged across groups: education, inertia, resources and ownership. Sub-themes in education and ownership differed between DM and CC groups on implementation ownership, intersecting with professional development, suggesting the importance of training and supervision in scalability. Sub-themes in resources and intertia differed between CC and SC groups, suggesting illness severity and access to healthy food as major barriers to engagement, whereas the SC group identified the need for enhanced emotional support, in addition to pragmatic skills like menu planning and cooking, to promote health behavior change. Although SMS was percieved as a viable education and support tool, CC and DM groups had limited familiarity with use in clinical care delivery.

Conclusions

Based on customer discovery, the characteristics of a minimum viable iOTA for implementation, scalability and sustainability include population- and context-specific adaptations to treatment content, interventionist training and delivery mechanism. Successful implementation of an SMS-based intervention will likely require micro-adaptations to fit specific clinical settings.

Mindfulness-Based Stress Reduction in Older Individuals: Who Benefits the Most?

BACKGROUND

Preexisting patient characteristics may influence the outcome of mindfulness training, and a composite predictive index may be most informative in predicting outcome.

PRIMARY STUDY OBJECTIVE

To develop a predictive index from baseline patient characteristics to determine which characteristics are associated with improvement following mindfulness-based stress reduction (MBSR) vs health education and to examine whether intreatment variables-reflecting adherence to the mindfulness intervention-predicted clinical outcome.

METHODS

In a secondary data analysis, a composite moderator statistical approach created a predictive index from baseline participant characteristics that were associated with clinical global impressions improvement following intervention.

SETTING

Data come from a 2-site, randomized controlled trial which took place in medical centers in St Louis, Missouri, and San Diego, California.

PARTICIPANTS

Included 103 older adults with anxiety and/or depressive disorders randomized to either 8 sessions of MBSR or health education classes.

INTERVENTION

MBSR was delivered in 8 sessions of 2 hours each by credentialed health care providers. The control condition consisted of health education classes designed to match the length and timing of the MBSR sessions.

PRIMARY OUTCOME MEASURES

The Clinical Global Impressions-Improvement scale was used to measure symptom improvement and was assigned by a blind rater.

RESULTS

The combined moderator approach generated a predictive index with a moderate effect size (0.46; 95% CI: 0.35, 0.57). Individuals who demonstrated improvement on the scale following MBSR were more likely to be younger, female, with lower psychological symptom severity, and less likely to have a diagnosis of depression or to be taking selective serotonin reuptake inhibitors.

DISCUSSION

Baseline characteristics predicted clinical response with MBSR in older adults. These predictive factors, if replicated and validated, could determine which patients are most likely to benefit from mindfulness training and lead to personalized strategies to maximize outcomes. The study was registered on ClinicalTrials.gov (identifier: NCT01693874).

Opportunities for Drug Repurposing of Serotonin Reuptake Inhibitors: Potential Uses in Inflammation, Infection, Cancer, Neuroprotection, and Alzheimer's Disease Prevention

Serotonin reuptake inhibitors (SRIs) are safe and widely used for a variety of indications including depressive disorders, anxiety, and chronic pain. Besides inhibiting the serotonin transporter, these medications have broad-spectrum properties in many systems. Their roles have been studied in cancer, Alzheimer's disease, and infectious processes. The COVID-19 pandemic highlighted the importance of drug repurposing of medications already in use. We conducted a narrative review of current evidence and ongoing research on drug repurposing of SRIs, with a focus on immunomodulatory, antiproliferative, and neuroprotective activity. SRIs may have clinical use as repurposed agents for a wide variety of conditions including but not limited to COVID-19, Alzheimer's disease, and neoplastic processes. Further research, particularly randomized controlled trials, will be necessary to confirm the utility of SRIs for new indications.

Going remote: Implementing digital research methods at an academic medical center during COVID-19

COVID-19 has forced medical research institutions to conduct clinical research remotely. Here, we describe how a university's mHealth Research Core helped facilitate the shift to remote research during the COVID-19 pandemic. In 2019 (pre-pandemic), we conducted stakeholder interviews and leadership group sessions to identify, create, and implement resources and core functions to support investigator-initiated mHealth research. Between April 2019 and February 2020, we identified four investigator needs: 1) a seminar series on trends in mHealth research, 2) mHealth case consultation services, 3) liaison services with institutional regulatory compliance groups, and 4) online navigation tools for implementation of mHealth methods (e.g., eConsent) and for building partnerships with technology vendors. To date, the mHealth Research Core has held seven seminars, completed 71 case consultations, assisted four COVID-related clinical studies, advised the IRB on shifting to remote research, and widely disseminated eConsent navigation tools. Although pre-pandemic stakeholder and investigator needs led to the creation of the mHealth Research Core, this institutional resource played a critical role in continuing clinical research during the pandemic by assisting investigators in rapidly shifting to remote study methodology.

Adapting and Implementing a Mobile Self-Management Program for Daily Life Participation in Individuals With Stroke

Date Presented Accepted for AOTA INSPIRE 2021 but unable to be presented due to online event limitations.

The audience will learn about a researcher–stakeholder collaboration to create a mobile health (mHealth) self-management intervention for individuals with stroke. This paper will demonstrate a systematic process to apply adaptation and implementation frameworks to generate a feasible, appropriate, and acceptable mHealth self-management intervention.

Primary Author and Speaker: Ryan J. Walsh

Additional Authors and Speakers: Olivia Depaul

Contributing Authors: Carolyn Baum, Ginger E. Nicol, Katie Keenoy, Michelle Klein, and Alex Wong

Prolonged ketamine infusion modulates limbic connectivity and induces sustained remission of treatment-resistant depression

Ketamine produces a rapid antidepressant response in over 50% of adults with treatment-resistant depression. A long infusion of ketamine may provide durable remission of depressive symptoms, but the safety, efficacy, and neurobiological correlates are unknown. In this open-label, proof-of-principle study, adults with treatment-resistant depression (N = 23) underwent a 96-h infusion of intravenous ketamine (0.15 mg/kg/h titrated toward 0.6 mg/kg/h). Clonidine was co-administered to reduce psychotomimetic effects. We measured clinical response for 8 weeks post-infusion. Resting-state functional magnetic resonance imaging was used to assess functional connectivity in patients pre- and 2 weeks post-infusion and in matched non-depressed controls (N = 27). We hypothesized that responders to therapy would demonstrate response-dependent connectivity changes while all subjects would show treatment-dependent connectivity changes. Most participants completed infusion (21/23; mean final dose 0.54 mg/kg/h, SD 0.13). The infusion was well tolerated with minimal cognitive and psychotomimetic side effects. Depressive symptoms were markedly reduced (MADRS 29 ± 4 at baseline to 9 ± 8 one day post-infusion), which was sustained at 2 weeks (13 ± 8) and 8 weeks (15 ± 8). Imaging demonstrated a response-dependent decrease in hyperconnectivity of the subgenual anterior cingulate cortex to the default mode network, and a treatment-dependent decrease in hyperconnectivity within the limbic system (hippocampus, amygdala, medial thalamus, nucleus accumbens). In exploratory analyses, connectivity was increased between the limbic system and frontal areas, and smaller right hippocampus volume at baseline predicted larger MADRS change. A single prolonged infusion of ketamine provides a tolerated, rapid, and sustained response in treatment-resistant depression and normalizes depression-related hyperconnectivity in the limbic system and frontal lobe. ClinicalTrials.gov : Treatment Resistant Depression (Pilot), NCT01179009.

Precision clinical trials: a framework for getting to precision medicine for neurobehavioural disorders

The goal of precision medicine (individually tailored treatments) is not being achieved for neurobehavioural conditions such as psychiatric disorders. Traditional randomized clinical trial methods are insufficient for advancing precision medicine because of the dynamic complexity of these conditions. We present a pragmatic solution: the precision clinical trial framework, encompassing methods for individually tailored treatments. This framework includes the following: (1) treatment-targeted enrichment, which involves measuring patients' response after a brief bout of an intervention, and then randomizing patients to a full course of treatment, using the acute response to predict long-term outcomes; (2) adaptive treatments, which involve adjusting treatment parameters during the trial to individually optimize the treatment; and (3) precise measurement, which involves measuring predictor and outcome variables with high accuracy and reliability using techniques such as ecological momentary assessment. This review summarizes precision clinical trials and provides a research agenda, including new biomarkers such as precision neuroimaging, transcranial magnetic stimulation-electroencephalogram digital phenotyping and advances in statistical and machine-learning models. Validation of these approaches - and then widespread incorporation of the precision clinical trial framework - could help achieve the vision of precision medicine for neurobehavioural conditions.

Fluvoxamine vs Placebo and Clinical Deterioration in Outpatients With Symptomatic COVID-19: A Randomized Clinical Trial

IMPORTANCE

Coronavirus disease 2019 (COVID-19) may lead to serious illness as a result of an excessive immune response. Fluvoxamine may prevent clinical deterioration by stimulating the σ-1 receptor, which regulates cytokine production.

OBJECTIVE

To determine whether fluvoxamine, given during mild COVID-19 illness, prevents clinical deterioration and decreases the severity of disease.

DESIGN, SETTING, AND PARTICIPANTS

Double-blind, randomized, fully remote (contactless) clinical trial of fluvoxamine vs placebo. Participants were community-living, nonhospitalized adults with confirmed severe acute respiratory syndrome coronavirus 2 infection, with COVID-19 symptom onset within 7 days and oxygen saturation of 92% or greater. One hundred fifty-two participants were enrolled from the St Louis metropolitan area (Missouri and Illinois) from April 10, 2020, to August 5, 2020. The final date of follow-up was September 19, 2020.

INTERVENTIONS

Participants were randomly assigned to receive 100 mg of fluvoxamine (n = 80) or placebo (n = 72) 3 times daily for 15 days.

MAIN OUTCOMES AND MEASURES

The primary outcome was clinical deterioration within 15 days of randomization defined by meeting both criteria of (1) shortness of breath or hospitalization for shortness of breath or pneumonia and (2) oxygen saturation less than 92% on room air or need for supplemental oxygen to achieve oxygen saturation of 92% or greater.

RESULTS

Of 152 patients who were randomized (mean [SD] age, 46 [13] years; 109 [72%] women), 115 (76%) completed the trial. Clinical deterioration occurred in 0 of 80 patients in the fluvoxamine group and in 6 of 72 patients in the placebo group (absolute difference, 8.7% [95% CI, 1.8%-16.4%] from survival analysis; log-rank P = .009). The fluvoxamine group had 1 serious adverse event and 11 other adverse events, whereas the placebo group had 6 serious adverse events and 12 other adverse events.

CONCLUSIONS AND RELEVANCE

In this preliminary study of adult outpatients with symptomatic COVID-19, patients treated with fluvoxamine, compared with placebo, had a lower likelihood of clinical deterioration over 15 days. However, the study is limited by a small sample size and short follow-up duration, and determination of clinical efficacy would require larger randomized trials with more definitive outcome measures.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT04342663.

A Smartphone-Based Technique to Detect Dynamic User Preferences for Tailoring Behavioral Interventions: Observational Utility Study of Ecological Daily Needs Assessment

Background

Mobile health apps are promising vehicles for delivering scalable health behavior change interventions to populations that are otherwise difficult to reach and engage, such as young adults with psychiatric conditions. To improve uptake and sustain consumer engagement, mobile health interventions need to be responsive to individuals’ needs and preferences, which may change over time. We previously created an ecological daily needs assessment to capture microprocesses influencing user needs and preferences for mobile health treatment adaptation.

Objective

The objective of our study was to test the utility of a needs assessment anchored within a mobile app to capture individualized, contextually relevant user needs and preferences within the framework of a weight management mobile health app.

Methods

Participants with an iOS device could download the study app via the study website or links from social media. In this fully remote study, we screened, obtained informed consent from, and enrolled participants through the mobile app. The mobile health framework included daily health goal setting and self-monitoring, with up to 6 daily prompts to determine in-the-moment needs and preferences for mobile health–assisted health behavior change.

Results

A total of 24 participants downloaded the app and provided e-consent (22 female; 2 male), with 23 participants responding to at least one prompt over 2 weeks. The mean length of engagement was 5.6 (SD 4.7) days, with a mean of 2.8 (1.1) responses per day. We observed individually dynamic needs and preferences, illustrating daily variability within and between individuals. Qualitative feedback indicated preferences for self-adapting features, simplified self-monitoring, and the ability to personalize app-generated message timing and content.

Conclusions

The technique provided an individually dynamic and contextually relevant alternative and complement to traditional needs assessment for assessing individually dynamic user needs and preferences during treatment development or adaptation. The results of this utility study suggest the importance of personalization and learning algorithms for sustaining app engagement in young adults with psychiatric conditions. Further study in broader user populations is needed.

Effectiveness of theory-based digital self-management interventions for improving depression, anxiety, fatigue and self-efficacy in people with neurological disorders: A systematic review and meta-analysis

INTRODUCTION

This study aimed to (a) review what theories have been applied to the development of digital self-management interventions for people with neurological disorders; (b) examine their effectiveness to improve depression, anxiety, fatigue and self-efficacy; and (c) identify the optimal mode of intervention delivery.

METHODS

Electronic databases (SCOPUS, MEDLINE, EMBASE, CINAHL, Cochrane Library and Clinicaltrials.gov) were searched. Two investigators independently screened studies and extracted data. Study quality and use of theory were also assessed.

RESULTS

A total of 944 studies were screened, and 16 randomised controlled trials were included. Theory-based digital self-management interventions were effective in reducing depression (standardised mean difference (SMD) = -0.77, 95% confidence interval (CI) -1.04 to -0.49), anxiety (SMD = -0.88, 95% CI -1.54 to -0.21) and fatigue (SMD = -0.62, 95% CI -0.96 to -0.27) and in enhancing self-efficacy (SMD = 1.15, 95% CI 0.11-2.18). Cognitive-behavioural theory (CBT)-based interventions were effective in reducing depression (SMD = -0.81, 95% CI -1.22 to -0.39), anxiety (SMD = -1.15, 95% CI -1.85 to -0.44) and fatigue (SMD = -0.75, 95% CI -0.97 to -0.54) and in improving self-efficacy (SMD = 0.84, 95% CI 0.63-1.05), whereas social cognitive theory (SCT)-based interventions were effective in reducing depression (SMD = -0.73, 95% CI -1.17 to -0.28). Partially digital interventions were more effective than fully digital interventions.

DISCUSSION

Our findings support the use of theory to guide the development of digital self-management interventions to increase intervention effectiveness. In particular, CBT-based interventions have a positive impact on depression, anxiety, fatigue and self-efficacy, whereas SCT-based interventions have a positive impact on depression.

Effectiveness of non-pharmacological interventions for treating post-stroke depressive symptoms: Systematic review and meta-analysis of randomized controlled trials

OBJECTIVE

To compare the effectiveness of non-pharmacological interventions on depressive symptoms in people after stroke.

DATA SOURCES

A literature search was performed through databases from January 2000 to August 2018: MEDLINE; CINAHL Plus; Scopus; Academic Search Complete; Cochrane Central Register of Controlled Trials; Scopus; and Library, Information Science and Technology Abstracts. Search terms included depression, stroke, non-pharmacologic, and intervention.

STUDY SELECTION

We included randomized controlled trials comparing non-pharmacological interventions to controls for depressive symptoms in people after stroke. Of 1703 identified articles, 22 trials were included in narrative synthesis, of which 13 were eligible for meta-analysis.

DATA EXTRACTION

Two reviewers extracted characteristics of participants, interventions, and results from all included trials.

DATA SYNTHESIS

Thirteen interventions were categorized into four types: complementary and alternative therapy (five trials, n=228), exercise (four trials, n=263), psychosocial therapy (two trials, n=216), and multifactorial therapy (two trials, n=358). Overall beneficial effects of non-pharmacological interventions on depressive symptoms were found both post-intervention (effect size [ES] = -0.24, 95% confidence Interval [CI]: -0.37 to -0.11, p < 0.05) and at follow-up (ES = -0.22, CI: -0.36 to -0.07, p< 0.05). We found individual beneficial effects for complementary and alternative therapy (ES = -0.29, CI: -0.55 to -0.02, p < 0.05) and psychosocial therapy (ES = - 0.33, CI: -0.60 to -0.06, p < 0.05) post-intervention.

CONCLUSIONS

Complementary and alternative therapy and psychosocial therapy appear to be promising strategies for improving post-stroke depression. Future studies target  a personalized approach for people with specific conditions such as cognitive impairment.

Mindfulness, Education, and Exercise for age-related cognitive decline: Study protocol, pilot study results, and description of the baseline sample

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.

Action at a Distance: Geriatric Research during a Pandemic

BACKGROUND

“Action at a distance” may be the new norm for clinical researchers in the context of the COVID‐19 pandemic that may require social distancing for the next 18 months. We must minimize face‐to‐face contact with vulnerable populations. But we must also persist, adapt, and help our older patients and study participants during the pandemic.

METHODS

Clinical researchers have an obligation to help, and we can. Recommendations for clinical researchers working with older adults during the COVID‐19 pandemic are discussed.

RESULTS

Implement technology now: Minimize face‐to‐face contact with participants by utilizing digital tools, such as shifting to electronic informed consent and digital HIPAA‐compliant tools such as e‐mailed surveys or telehealth assessments.

Assess the psychological and social impact of COVID‐19: How are participants coping? What health or social behaviors have changed? How are they keeping up with current events? What are they doing to stay connected to their families, friends, and communities? Are their healthcare needs being met? Current studies should be adapted immediately to these ends.

Mobilize research platforms for patient needs: Leverage our relationships with participants and rapidly deploy novel clinical engagement techniques such as digital tools to intervene remotely and reduce the negative effects of social isolation on our participants. Equip research staff with tangible resources, and provide timely population‐specific health information to support patients and healthcare providers.

CONCLUSIONS

We have an opportunity to make an impact on our older adult patients now as this pandemic continues to unfold. Above all, clinical researchers need to continue working, to help as many people as possible through the crisis. J Am Geriatr Soc 68:922–925, 2020

Adiposity, Hepatic Triglyceride, and Carotid Intima Media Thickness During Behavioral Weight Loss Treatment in Antipsychotic-Treated Youth: A Randomized Pilot Study

Objectives: The purpose of this pilot study was to evaluate changes in adiposity, carotid intima media thickness (CIMT), and hepatic fat content measured via magnetic resonance imaging-estimated hepatic proton density fat fraction (PDFF) in antipsychotic (AP)-treated youth versus nonpsychiatric (NP) participants during participation in a 16-week behavioral weight loss (BWL) intervention. Subjects/Methods: Overweight/obese AP-treated youth (n = 26) were randomized 2:1 to weekly treatment versus recommended care (RC) over 16 weeks. NP controls (n = 21) were assigned to weekly treatment. Dual-energy X-ray absorptiometry (DEXA)-measured adiposity, CIMT, and PDFF were measured at baseline and 16 weeks. Analyses assessed group differences in the effect of BWL on adiposity, CIMT, and PDFF. Results: BWL was well tolerated in both AP-treated and NP groups. DEXA-measured fat decreased significantly in the NP group (F[1,16] = 11.81, p = 0.003), with modest improvements in adiposity and hepatic fat in the AP-treated group, while an increase in adiposity was observed in the RC group. Significant differences in endpoint DEXA total fat (F[2,34] = 4.81, p = 0.01) and PDFF (F[2,30] = 3.60, p = 0.04) occurred across treatment groups, explained by larger improvements in NP versus RC youth in DEXA total fat (p = 0.03) and PDFF (p = 0.04). Conclusions: Intensive, family-based BWL treatment can improve whole-body adiposity and liver fat in obese youth, with decreases or attenuation of additional fat gain observed in AP-treated youth.

When All Else Fails, Listen to the Patient: A Viewpoint on the Use of Ecological Momentary Assessment in Clinical Trials

A major problem in mental health clinical trials, such as depression, is low assay sensitivity in primary outcome measures. This has contributed to clinical trial failures, resulting in the exodus of the pharmaceutical industry from the Central Nervous System space. This reduced assay sensitivity in psychiatry outcome measures stems from inappropriately broad measures, recall bias, and poor interrater reliability. Limitations in the ability of traditional measures to differentiate between the trait versus state-like nature of individual depressive symptoms also contributes to measurement error in clinical trials. In this viewpoint, we argue that ecological momentary assessment (EMA)-frequent, real time, in-the-moment assessments of outcomes, delivered via smartphone-can both overcome these psychometric challenges and reduce clinical trial failures by increasing assay sensitivity and minimizing recall and rater bias. Used in this manner, EMA has the potential to further our understanding of treatment response by allowing for the assessment of dynamic interactions between treatment and distinct symptom response.

Metabolic Effects of Antipsychotics on Adiposity and Insulin Sensitivity in Youths: A Randomized Clinical Trial

IMPORTANCE

Antipsychotic medications are commonly used to treat nonpsychotic disruptive behavioral disorders in youths.

OBJECTIVE

To characterize the metabolic effects of first exposure to antipsychotics in youths using criterion standard assessments of body composition and insulin sensitivity.

DESIGN, SETTING, AND PARTICIPANTS

This randomized clinical trial recruited antipsychotic-naive youths aged 6 to 18 years in the St Louis, Missouri, metropolitan area who were diagnosed with 1 or more psychiatric disorders and clinically significant aggression and in whom antipsychotic treatment was considered. Participants were enrolled from June 12, 2006, through November 10, 2010. Enrolled participants were randomized (1:1:1) to 1 of 3 antipsychotics commonly used in children with disruptive behavioral disorders and evaluated for 12 weeks. Data were analyzed from January 17, 2011, through August 9, 2017.

INTERVENTIONS

Twelve weeks of treatment with oral aripiprazole (n = 49), olanzapine (n = 46), or risperidone (n = 49).

MAIN OUTCOMES AND MEASURES

Primary outcomes included percentage total body fat measured by dual-energy x-ray absorptiometry (DXA) and insulin sensitivity in muscle measured via hyperinsulinemic clamps with stable isotopically labeled tracers. Secondary outcomes included abdominal adiposity measured by magnetic resonance imaging (MRI) and adipose and hepatic tissue insulin sensitivity measured via clamps with tracers.

RESULTS

The intention-to-treat sample included 144 participants (98 males [68.1%]; mean [SD] age, 11.3 [2.8] years); 74 (51.4%) were African American, and 43 (29.9%) were overweight or obese at baseline. For the primary outcomes, from baseline to week 12, DXA percentage total body fat increased by 1.18% for risperidone, 4.12% for olanzapine, and 1.66% for aripiprazole and was significantly greater for olanzapine than risperidone or aripiprazole (time by treatment interaction P < .001). From baseline to week 12, insulin-stimulated change in glucose rate of disappearance increased by 2.30% for risperidone and decreased by 29.34% for olanzapine and 30.26% for aripiprazole, with no significant difference across medications (time by treatment interaction, P < .07). This primary measure of insulin sensitivity decreased significantly during 12 weeks in the pooled study sample (effect of time, F = 17.38; P < .001). For the secondary outcomes from baseline to week 12, MRI measured abdominal fat increased, with subcutaneous fat increase significantly greater for olanzapine than risperdone or aripiprazole (time by treatment, P = .003). Behavioral improvements occurred with all treatments.

CONCLUSIONS AND RELEVANCE

Adverse changes in adiposity and insulin sensitivity were observed during 12 weeks of antipsychotic treatment in youths, with the greatest fat increases on olanzapine. Such changes, likely attributable to treatment, may be associated with risk for premature cardiometabolic morbidity and mortality. The results inform risk-benefit considerations for antipsychotic use in youths.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT00205699.

Effect of Metabolic Syndrome on Late-Life Depression: Associations with Disease Severity and Treatment Resistance

BACKGROUND/OBJECTIVES

Metabolic syndrome (MetS) is the co-occurrence of obesity and metabolic derangements. Prior research implicates MetS in prolongation of the course of depression in older adults, but its effect on antidepressant response is unknown in this population. The objective was to determine whether MetS and related metabolic dyscrasias are associated with decreased rate of remission from depression in older adults treated pharmacologically for depression.

DESIGN

Secondary analysis of a randomized controlled trial.

SETTING

Three academic medical centers in North America.

PARTICIPANTS

Adults aged 60 and older (mean age 69.1) with major depressive disorder (MDD) (N = 435).

INTERVENTION

Open-label, protocolized treatment with extended-release venlafaxine for 12 or more weeks.

MEASUREMENTS

Time to remission from depression, with remission defined as a Montgomery-Åsberg Depression Rating Scale (MADRS) score of 10 or less at last two visits.

RESULTS

Two hundred twenty-two participants (51%) met criteria for MetS at baseline; MetS was associated with greater severity (MADRS score) and chronicity of depression at baseline. Remission was achieved in 182 participants (42%). In the unadjusted analysis, MetS was associated with prolonged time to remission (hazard ratio for remission = 0.71, 95% confidence interval = 0.52-0.95), but this relationship was not significant in the adjusted model; greater number of MetS components and lower high-density lipoprotein cholesterol had similar effects. Only diastolic blood pressure (DBP) was a significant predictor of time to remission before and after adjustment, with higher DBP predicting longer time to remission. Insulin sensitivity did not predict time to remission.

CONCLUSION

The presence of MetS in older adults with depression was associated with greater symptom severity and chronicity of depression, which appears to have accounted for the poorer antidepressant response observed in those with MetS. Additionally, our preliminary finding of an association between higher DBP and poorer antidepressant response bears further examination and replication.

Behavioral Weight Loss Treatment in Antipsychotic Treated Youth

BACKGROUND

Antipsychotic-treated youth have increased risk for the development of obesity and type 2 diabetes. Behavioral weight loss treatments show promise in reducing obesity and diabetes risk in antipsychotic treated adults, but have received no study in antipsychotic treated youth.

OBJECTIVE

We describe a rationale for behavioral weight loss interventions in high-weight antipsychotic treated youth, and report behavioral, anthropomorphic, and metabolic findings from a case series of obese antipsychotic-treated adolescents participating in a short-term, family-based behavioral weight loss intervention.

METHODS

We adapted the Traffic Light Plan, a 16-week family-based weight loss intervention that promotes healthy energy balance using the colors of the traffic light to categorize the nutritional value of foods and intensity of physical activity, adapting a social ecological framework to address health behavior change in multiple social contexts. The intervention was administered to three obese adolescents with long-term antipsychotic medication exposure. Efficacy of the intervention was evaluated with a battery of anthropomorphic and metabolic assessments including weight, body mass index percentile, whole body adiposity, liver fat content, and fasting plasma glucose and lipids. Participants and their parents also filled out a treatment satisfaction questionnaire upon study completion.

RESULTS

Two males and 1 female (all aged 14 years) participated. All 3 participants attended all 16 sessions, and experienced beneficial changes in adiposity, fasting lipids and liver fat content associated with weight stabilization or weight loss. Adolescents and their parents all reported a high level of satisfaction with the treatment.

CONCLUSIONS

Family-based behavioral weight loss treatment can be feasibly delivered and is acceptable to antipsychotic-treated youth and their families. Randomized controlled trials are needed to fully evaluate the effectiveness and acceptability of behavioral weight loss interventions in antipsychotic treated youth and their families.

The Role of Clinical Setting and Management Approach in Metabolic Testing Among Youths and Adults Treated With Antipsychotics

OBJECTIVE

This study compared metabolic screening among patients who received antipsychotic treatment at community mental health centers (CMHCs), with or without case management, and patients treated elsewhere.

METHODS

Rates of glucose and lipid testing among youths and adults in Missouri Medicaid (N=9,473) who received antipsychotic treatment at CMHCs, with and without case management, were evaluated. Multivariable logistic regressions determined which characteristics were independently associated with metabolic testing.

RESULTS

A total of 37.0% and 17.3% of youths and 68.7% and 34.9% of adults had glucose and lipid testing, respectively. Compared with treatment elsewhere, treatment at CMHCs, with or without case management, respectively, was associated with higher odds of glucose testing (youths, adjusted odds ratio [AOR]=1.68 and 1.89; adults, AOR=1.43 and 1.44) and lipid testing (youths, AOR=2.40 and 2.35; adults, AOR=1.97 and 1.48).

CONCLUSIONS

CMHCs had higher rates of metabolic testing, possibly reflecting Missouri's efforts to promote testing in these settings.

Adiposity and Cardiometabolic Risk in Children With and Without Antipsychotic Drug Treatment

CONTEXT

Pediatric obesity is common, particularly in children treated with antipsychotic medications. Antipsychotic exposure can increase cardiometabolic risk by increasing adiposity, and possibly via other adiposity-independent pathways.

OBJECTIVE

The objectives were to characterize relationships of adiposity with intrahepatic triglyceride (IHTG) content and carotid intima media thickness (CIMT) in children with and without antipsychotic drug treatment, and to explore whether vitamin D alters any effects in these relationships.

DESIGN

This was a cross-sectional case-control study.

SETTING

The setting was an academic medical center.

PATIENTS OR OTHER PARTICIPANTS

Participants were 44 children (ages, 6-19 y): 25 cases treated with antipsychotic and other psychotropic drug therapies and 19 untreated controls, frequency-matched on age, gender, and body mass index.

MAIN OUTCOME MEASURES

Main outcome measures were dual-energy x-ray absorptiometry percentage body fat (DEXA %fat), IHTG measured by magnetic resonance spectroscopy, and CIMT measured by ultrasonography. Fasting blood glucose, insulin, lipids, C-reactive protein, and liver enzymes were also evaluated.

RESULTS

There were no significant differences between cases and controls on measures of IHTG, CIMT, or DEXA %fat. In combined crude and adjusted analyses, DEXA %fat predicted IHTG (R(2) = 0.30) but not CIMT. Low levels of vitamin D were associated with larger effects of DEXA %fat on IHTG.

CONCLUSION

In treated and untreated children alike, adiposity is a significant predictor of liver fat content. This relationship was altered by low vitamin D level. These results suggest a modifiable pathway to hepatic steatosis. Further research is needed to test the hypothesis that children with high adiposity and low vitamin D have particularly increased risks for the development of fatty liver.

Psychotropic drug use among preschool children in the Medicaid program from 36 states

OBJECTIVES

We determined the prevalence of and indications for psychotropic medication among preschool children in Medicaid.

METHODS

We obtained 2000 to 2003 Medicaid Analytic Extract data from 36 states. We followed children in 2 cohorts, born in 1999 and 2000, up to age 4 years. We used logistic regression to model odds of receiving medications for (1) attention-deficit disorder/attention-deficit hyperactivity disorder, (2) depression or anxiety, and (3) psychotic illness or bipolar.

RESULTS

Overall, 1.19% of children received at least 1 psychotropic drug. Medications for attention-deficit disorder/attention-deficit hyperactivity disorder treatment were most common (0.61% of all children), followed by depression or anxiety (0.59%) and psychotic illness or bipolar (0.24%). Among children, boys, those of other or unknown race compared with White, and those with other insurance compared with fee for service-only had higher odds of receiving a prescription (odds ratio [OR]=1.80 [95% confidence interval (CI)=1.74, 1.86], 1.75 [corrected] [1.66, 1.85], and 1.14 [1.01, 1.28], respectively), whereas Black and Hispanic children had lower odds (OR=0.51 [95% CI=0.48, 0.53] and 0.37 [0.34, 0.39], respectively).

CONCLUSIONS

Preschoolers are receiving psychotropic medications despite limited evidence supporting safety or efficacy. Future research should focus on implementing medication use practice parameters in infant and toddler clinics, and expanding psychosocial interventions for young children with behavioral problems.

Best practices: implementation of a glucose screening program based on diffusion of innovation theory methods

There is public health interest in the identification and treatment of modifiable cardiometabolic risk factors among patients treated with antipsychotic medications. However, best-practice screening recommendations endorsed by multiple medical organizations have not translated into real-world clinical practice. Quality improvement strategies may help to address the gap between policy and implementation. This column describes the successful implementation of a best-practice glucose screening program in a large network of community mental health centers that was based on Six Sigma and diffusion of innovation theory.

Metabolic screening in children receiving antipsychotic drug treatment

OBJECTIVES

To estimate metabolic screening rates, predictors of screening, and incidence of metabolic disturbances in children initiating second-generation antipsychotic (SGA) drug treatment.

DESIGN

A retrospective, new-user cohort study (between July 1, 2004, and June 30, 2006) using Medicaid claims data.

SETTINGS

California, Missouri, and Oregon.

PATIENTS

A total of 5370 children (aged 6-17 years) without diabetes mellitus taking SGA drugs and 15,000 children without diabetes taking albuterol (control individuals) [corrected] but no SGA drugs.

INTERVENTION

Findings 1 year after recommendations from the American Diabetes Association and American Psychiatric Association called for metabolic screening of patients receiving SGA drugs.

OUTCOME MEASURES

Serum glucose and lipid testing, 6-month incidence of diabetes, and dyslipidemia disturbances.

RESULTS

Glucose screening was performed in 1699 (31.6% [95% confidence interval (CI), 30.4%-32.9%]) SGA-treated children vs 1891 (12.6% [12.1%-13.2%]) control individuals. Lipid testing was performed in 720 (13.4% [95% CI, 12.5%-14.4%]) SGA-treated children vs 458 (3.1% [2.8%-3.3%]) controls. In multivariate logistic regression analysis, children with serious and/or multiple psychiatric diagnoses and those who used health care services more intensively were more likely to receive metabolic screening. The case incidence of glucose and lipid disorders was higher in SGA-treated vs albuterol-treated children (8.9 per 1000 children [95% CI, 6.6%-11.8%] vs 4.9 per 1000 children [3.9%-6.2%]; and 9.7 per 1000 children [95% CI, 7.2%-12.7%] vs 4.6 per 1000 children [95% CI, 3.6%-5.8%], respectively).

CONCLUSION

Most children starting treatment with SGA medications in this public sector sample did not receive recommended glucose and lipid screening.