Search

The repressor element 1-silencing transcription (REST) factor is a key regulator of the aging brain's stress response. It is reduced in conditions of stress and Alzheimer's disease (AD), which suggests that increasing REST may be neuroprotective. REST can be measured peripherally in blood plasma. Our study aimed to (1) examine plasma REST levels in relation to clinical and biological markers of neurodegeneration and (2) alter plasma REST levels through a stress-reduction intervention-mindfulness training. In study 1, REST levels were compared across the following four well-characterized groups: healthy elderly (n=65), mild cognitive impairment who remained stable (stable MCI, n=36), MCI who later converted to dementia (converter MCI, n=29) and AD (n=65) from the AddNeuroMed cohort. REST levels declined with increasing severity of risk and impairment (healthy elderly>stable MCI>converter MCI>AD, F=6.35, P

IntroductionPostoperative delirium, arbitrarily defined as occurring within 5 days of surgery, affects up to 50% of patients older than 60 after a major operation. This geriatric syndrome is associated with longer intensive care unit and hospital stay, readmission, persistent cognitive deterioration and mortality. No effective preventive methods have been identified, but preliminary evidence suggests that EEG monitoring during general anaesthesia, by facilitating reduced anaesthetic exposure and EEG suppression, might decrease incident postoperative delirium. This study hypothesises that EEG-guidance of anaesthetic administration prevents postoperative delirium and downstream sequelae, including falls and decreased quality of life.Methods and analysisThis is a 1232 patient, block-randomised, double-blinded, comparative effectiveness trial. Patients older than 60, undergoing volatile agent-based general anaesthesia for major surgery, are eligible. Patients are randomised to 1 of 2 anaesthetic approaches. One group receives general anaesthesia with clinicians blinded to EEG monitoring. The other group receives EEG-guidance of anaesthetic agent administration. The outcomes of postoperative delirium (≤5 days), falls at 1 and 12 months and health-related quality of life at 1 and 12 months will be compared between groups. Postoperative delirium is assessed with the confusion assessment method, falls with ProFaNE consensus questions and quality of life with the Veteran's RAND 12-item Health Survey. The intention-to-treat principle will be followed for all analyses. Differences between groups will be presented with 95% CIs and will be considered statistically significant at a two-sided p

Objective: To describe the burden of Generalized Anxiety Disorder (GAD), a common anxiety disorder in older adults.Design: Cross-sectional.Setting: Late-life depression and anxiety research clinic in Pittsburgh, PA.Participants: One hundred sixty-four older adults with GAD and 42 healthy comparison participants with no lifetime history of psychiatric disorder were recruited from primary care and mental health settings as well as advertisements.Measurements: Participants were evaluated with the Late Life Function and Disability Index to assess disability, the MOS 36-Item Short Form Survey Instrument to assess health-related quality of life (HRQOL), and the Cornell Service Index to assess healthcare utilization.Results: Older adults with GAD were more disabled, had worse HRQOL, and had greater healthcare utilization, than nonanxious comparison participants, even in the absence of psychiatric comorbidity. After controlling for medical burden and depressive symptoms, higher severity of anxiety symptoms was associated with greater disability and poorer HRQOL in several domains. The greatest decrements in HRQOL and function were observed in measures assessing role functioning, including social function.Conclusion: This study, the largest ever of GAD in older adults, provides evidence of the significant burden of this disorder in late life. Given the high prevalence and chronicity of GAD in the elderly, these data provide a public health imperative for finding and implementing effective management strategies for this typically undiagnosed and untreated disorder. [ABSTRACT FROM AUTHOR]

Context: Generalized anxiety disorder (GAD) is one of the most common psychiatric disorders in older adults; however, few data exist to guide clinicians in efficacious and safe treatment. Selective serotonin reuptake inhibitors (SSRIs) are efficacious for younger adults with GAD, but benefits and risks may be different in older adults.Objective: To examine the efficacy, safety, and tolerability of the SSRI escitalopram in older adults with GAD.Design, Setting, and Participants: A randomized controlled trial in primary care practices and related specialty clinics in Pittsburgh, Pennsylvania, of 177 participants aged 60 years or older with a principal diagnosis of GAD randomized to receive either escitalopram or placebo and conducted between January 2005 and January 2008.Interventions: Twelve weeks of 10 to 20 mg/d of escitalopram (n = 85) or matching placebo (n = 92).Main Outcome Measures: Cumulative response defined by Clinical Global Impressions-Improvement score of much or very much improved; time to response; and anxiety and role functioning changes measured by the Clinical Global Impressions-Improvement scale, Hamilton Anxiety Rating Scale, Penn State Worry Questionnaire, Late-Life Function and Disability Instrument activity limitations subscale, and the role-emotional impairment and social function subscales of the Medical Outcome Survey 36-item Short Form.Results: In the primary analytic strategy in which participants (n = 33) were censored at the time of dropout, mean cumulative response rate for escitalopram was 69% (95% confidence interval [CI], 58%-80%) vs 51% (95% CI, 40%-62%) for placebo (P = .03). A conservative intention-to-treat analysis showed no difference in mean cumulative response rate between escitalopram and placebo (57%; 95% CI, 46%-67%; vs 45%; 95% CI, 35%-55%; P = .11). Participants treated with escitalopram showed greater improvement than with placebo in anxiety symptoms and role functioning (Clinical Global Impressions-Improvement scale: effect size, 0.93; 95% CI, 0.50-1.36; P < .001; Penn State Worry Questionnaire: 0.30; 95% CI, 0.23-0.48; P = .01; activity limitations: 0.32; 95% CI, 0.01-0.63; P = .04; and the role-emotional impairment and social function: 0.96; 95% CI, 0.03-1.90; P = .04). Adverse effects of escitalopram (P < .05 vs placebo) were fatigue or somnolence (35 patients [41.1%]), sleep disturbance (12 [14.1%]), and urinary symptoms (8 [9.4%]).Conclusions: Older adults with GAD randomized to escitalopram had a higher cumulative response rate for improvement vs placebo over 12 weeks; however, response rates were not significantly different using an intention-to-treat analysis. Further study is required to assess efficacy and safety over longer treatment durations.Trial Registration: clinicaltrials.gov Identifier: NCT00105586. [ABSTRACT FROM AUTHOR]

OBJECTIVE: Few data are available concerning the utility of augmentation in late-life depression treatment. The authors examined likelihood, speed, and predictors of recovery in older adults receiving augmentation pharmacotherapy after inadequate response to standardized treatment with paroxetine plus interpersonal psychotherapy. METHOD: Depression levels were monitored during open treatment in 195 adults age 70 or older. Patients were grouped by whether they required augmentation (bupropion, nortriptyline, or lithium) and compared on likelihood, time, and predictors of recovery. RESULTS: Augmentation was required for 105 patients (53.8%) because of inadequate treatment response (N=77) or response followed by relapse (N=28). Of these patients, 69 received augmentation and 36 did not (primarily because of consent withdrawal or comorbid medical conditions). Patients receiving augmentation showed lower recovery rates than patients never requiring augmentation: recovery occurred in 50.0% of patients receiving it because of inadequate response, 66.7% of those receiving it after early relapse, and 86.7% of patients never requiring augmentation. Patients receiving augmentation because of inadequate response recovered more slowly, with modestly more side effects than other patients. Greater medical burden and anxiety predicted slower recovery. CONCLUSIONS: Despite a lower likelihood of recovery in elderly people receiving augmentation, the recovery by over one-half of such patients suggests the value of augmentation for those able to tolerate it. Need for augmentation presages slower recovery in patients showing initial inadequate response; those requiring it after early relapse recovered more quickly. Strategies to further improve the likelihood and speed of recovery after initial treatment failure are needed. [ABSTRACT FROM AUTHOR]

In the treatment of depression, there is considerable interest in the time course of response and, in particular, the speed with which individuals recover from depressive episodes. Examination of the time course and speed of response is critical for assessing the usefulness of specific treatments. However, while this issue has received attention in mid-life adult populations, it has received little consideration in the context of late-life major depression. The synthesis of empirical reports indicates that, while older adults with depression seem to respond with the same speed as mid-life adults, several factors have consistently been associated with reduced speed of response to antidepressant treatment, including greater severity of depressive symptoms and co-occurring anxiety symptoms. Limited evidence suggests that sleep impairment and genetic factors (e.g. presence of the s allele of the serotonin transporter gene promoter region) may also be associated with reduced speed of response. Some factors have consistently been found to be unrelated to speed of response (demographic characteristics, nonpsychiatric physical illnesses) whereas other factors have only mixed evidence supporting any effect (psychosocial and other clinical factors). While there is little work available to date, some evidence suggests that time course and speed of response affect longer-term outcomes of depression pharmacotherapy; thus, older adults with more rapid versus slower patterns of response may differ in the types of maintenance treatment needed to avert additional depressive episodes. None of potential strategies for accelerating speed of response have been clearly shown to be effective in late-life depression. Future treatment studies for late-life depression should routinely consider not only overall efficacy of a given pharmacotherapy (i.e. total rate of response), but time course and speed of response. To this end, new investigations must be designed to overcome the methodological limitations of prior studies that have examined time course and they should include a range of potential covariates and outcomes of between-patient differences in speed of response. Better understanding of factors related to such differences may suggest new intervention strategies to accelerate response. [ABSTRACT FROM AUTHOR]

Background: Aging results in changes in resting state functional connectivity within key networks associated with cognition. Cardiovascular function, physical activity, sleep, and body composition may influence these age-related changes in the brain. Better understanding these associations may help clarify mechanisms related to brain aging and guide interventional strategies to reduce these changes., Methods: In a large (n = 398) sample of healthy community dwelling older adults that were part of a larger interventional trial, we conducted cross sectional analyses of baseline data to examine the relationships between several modifiable behaviors and resting state functional connectivity within networks associated with cognition and emotional regulation. Additionally, maximal aerobic capacity, physical activity, quality of sleep, and body composition were assessed. Associations were explored both through correlation and best vs. worst group comparisons., Results: Greater cardiovascular fitness, but not larger quantity of daily physical activity, was associated with greater functional connectivity within the Default Mode (p = 0.008 r = 0.142) and Salience Networks (p = 0.005, r = 0.152). Better sleep (greater efficiency and fewer nighttime awakenings) was also associated with greater functional connectivity within multiple networks including the Default Mode, Executive Control, and Salience Networks. When the population was split into quartiles, the highest body fat group displayed higher functional connectivity in the Dorsal Attentional Network compared to the lowest body fat percentage (p = 0.011; 95% CI - 0.0172 to - 0.0023)., Conclusion: These findings confirm and expand on previous work indicating that, in older adults, higher levels of cardiovascular fitness and better sleep quality, but not greater quantity of physical activity, total sleep time, or lower body fat percentage are associated with increased functional connectivity within key resting state networks., (© 2024. The Author(s).)

Objective: Major depressive disorder in older adults (late-life depression; LLD) is frequently associated with cognitive impairment, and some deficits (e.g., executive function) have been associated with a higher level of treatment resistance. However, the cognitive profile of treatment-resistant LLD (TR-LLD) has not been characterized. We hypothesized that patients with TR-LLD would show deficits in cognitive function, especially executive function, and that executive function deficits would predict poorer response to pharmacotherapy., Design: Secondary analysis of baseline cognitive data from OPTIMUM, a multicenter RCT evaluating pharmacotherapy strategies for TR-LLD., Setting: Five outpatient academic medical centers (4 US, 1 Canada)., Participants: About 369 participants aged 60 and older from the OPTIMUM study., Measurements: Baseline scores on individual tasks and composite scores from the NIH Toolbox-Cognition Battery were transformed into demographically-adjusted T-scores and compared to published norms. Impairments in the set shifting and inhibitory control tasks were investigated as predictors of depressive symptom change following treatment using ANCOVA models., Results: Participants had low performance on tasks evaluating inhibitory control, processing speed, verbal/nonverbal memory, and the fluid composite, but normative performance on working memory and set shifting. Participants had high estimated premorbid IQ (superior Performance on oral reading recognition). Age and physical comorbidity negatively associated with processing speed. Impairments in set shifting predicted less improvement in depressive symptoms; impairments in inhibitory control did not., Conclusions: Participants with TR-LLD presented with broad cognitive deficits relative to healthy norms. Given poorer outcomes following standard pharmacotherapy associated with impaired set shifting, future research needs to identify alternative treatment strategies., Competing Interests: DISCLOSURES NJA receives support from the University of British Columbia Institute of Mental Health, CIHR-CANTRAIN, and Michael Smith Health Research BC. DMB receives research support from CIHR, NIH, Brain Canada and the Temerty Family through the CAMH Foundation and the Campbell Family Research Institute. He received research support and in-kind equipment support for an investigator-initiated study from Brainsway Ltd. He was the site principal investigator for three sponsor-initiated studies for Brainsway Ltd. He also received in-kind equipment support from Magventure for two investigator-initiated studies. He received medication supplies for an investigator-initiated trial from Indivior. He is a scientific advisor for Sooma Medical. He is the Co-Chair of the Clinical Standards Committee of the Clinical TMS Society (unpaid). HL receives grant support from NIH and the US Department of Defense. EJL receives honoraria for consulting with Boehinger-Ingelheim, Merck, Pritikin ICR, Prodeo, IngenioRx; grant support from Janssen; and has a patent pending for Sigma1 agonists for COVID. BGP received research support from the Peter & Shelagh Godsoe Endowed Chair in Late-Life Mental Health, CAMH Foundation, and Discovery Fund, National Institute of Aging, Brain Canada, the Canadian Institutes of Health Research, the Alzheimer's Drug Discovery Foundation, the Ontario Brain Institute, the Centre for Aging and Brain Health Innovation, the Bright Focus Foundation, the Alzheimer's Society of Canada, the W. Garfield Weston Foundation, the Weston Brain Institute, the Canadian Consortium on Neurodegeneration in Aging and Genome Canada. Dr. Pollock receives honoraria from the American Geriatrics Society for book authorship and holds United States Provisional Patent Nos. 6/490,680, 17/396,030, and Canadian Provisional Patent No. 3,054,093 for a cell-based assay and kits for assessing serum anticholinergic activity. JFK has received research support from Janssen and served as an advisor to Biogen and Aifred Health. He receives compensation from Physician's Postgraduate Press and American Journal of Geriatric Psychiatry for editorial service. MPM receives research support from the Canadian Institutes of Health Research, The Weston Brain Institute, and the Krembil Research Institute. JPM receives grant support from NIH and PCORI. BHM holds and receives support from the Labatt Family Chair in Biology of Depression in Late-Life Adults at the University of Toronto. He currently receives or has received within the past 5 years research support from Brain Canada, the Canadian Institutes of Health Research, the CAMH Foundation, the Patient-Centered Outcomes Research Institute (PCORI), the US National Institute of Health (NIH), Capital Solution Design LLC (software used in a study founded by CAMH Foundation), and HAPPYneuron (software used in a study founded by Brain Canada). He has also been an unpaid consultant to Myriad Neuroscience., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Background: The Patient Health Questionnaire (PHQ-9) and Montgomery-Asberg Depression Rating Scale (MADRS) are commonly used scales to measure depression severity in older adults., Methods: We utilized data from the Optimizing Outcomes of Treatment-Resistant Depression in Older Adults (OPTIMUM) clinical trial to produce conversion tables relating PHQ-9 and MADRS total scores. We split the sample into training (N = 555) and validation samples (N = 187). Equipercentile linking was performed on the training sample to produce conversion tables for PHQ-9 and MADRS. We compared the original and estimated scores in the validation sample with Bland-Altman analysis. We compared the depression severity level using the original and estimated scores with Chi-square tests., Results: The Bland-Altman analysis confirmed that differences between the original and estimated scores for at least 95 % of the sample fit within 1.96 standard deviations of the mean difference. Chi-square tests showed a significant difference in the proportion of participants at each depression severity category determined using the original and estimated scores., Limitations: The conversion tables should be used with caution when comparing depression severity at the individual level., Conclusions: Our conversion tables relating PHQ-9 and MADRS scores can be used to compare treatment outcomes using aggregate data in studies that only used one of these scales., Competing Interests: Declaration of competing interest The original clinical trial was supported by a Patient-Centered Outcomes Research Institute (PCORI) Award (TRD-1511-33321). Dr. Lenze received additional support from the Taylor Family Institute for Innovative Psychiatric Research at Washington University School of Medicine, as well as the Washington University Institute of Clinical and Translational Sciences grant (UL1TR002345) from the National Center for Advancing Translational Sciences of the National Institutes of Health (NIH). Dr. Blumberger reports grants from Canadian Institutes of Health Research (CIHR) and the Temerty family through the Centre for Addiction and Mental Health (CAMH) Foundation during the conduct of the study; nonfinancial support from Magventure (in-kind equipment support for investigator-initiated research); grants from Brainsway (principal investigator of an investigator-initiated study and site principal investigator for sponsored clinical trials), National Institutes of Health (NIH), Brain Canada Foundation, Campbell Family Research Institute, and Patient-Centered Outcomes Research Institute outside the submitted work; received medication supplies for an investigator-initiated trial from Indivior; and has participated in advisory boards for Janssen and Welcony. Dr. Flint has received grant support from the US National Institutes of Health, the Patient-Centered Outcomes Research Institute, the Canadian Institutes of Health Research, Brain Canada, the Ontario Brain Institute, and Alzheimer's Association. Dr. Miller has no financial relationships with commercial interests. Dr. Mulsant received additional support from the Labatt Family Chair in Biology of Depression in Late-Life Adults at the University of Toronto. He holds and receives support from the Labatt Family Chair in Biology of Depression in Late-Life Adults at the University of Toronto. He currently receives or has received research support from Brain Canada, the CAMH Foundation, the Canadian Institutes of Health Research, and the US National Institutes of Health (NIH); research support from Bristol-Myers Squibb (medications for an NIH-funded clinical trial), Eli Lilly and Company (medications for an NIH-funded clinical trial), Pfizer (medications for an NIH-funded clinical trial), Capital Solution Design LLC (software used in a study funded by CAMH Foundation), and HAPPYneuron (software used in a study funded by Brain Canada). Dr. Lavretsky received support from grants (K24 AT009198, R01 AT008383, and R01 MH114981) from the NIH. Dr. Brown received additional support from the National Institute of Mental Health OPTIMUM NEURO grant (5R01MH114980). Dr. Reynolds receives payment from the American Association of Geriatric Psychiatry as Editor-in-Chief of the American Journal of Geriatric Psychiatry and royalty income for intellectual property as co-inventor of the Pittsburgh Sleep Quality Index. Other authors have no conflict of interest to disclose., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Introduction: Ecological momentary assessment (EMA) is a methodological approach to studying intraindividual variation over time. This study aimed to use EMA to determine the variability of cognition in individuals with chronic stroke, identify the latent classes of cognitive variability, and examine any differences in daily activities, social functioning, and neuropsychological performance between these latent classes., Methods: Participants ( N  = 202) with mild-to-moderate stroke and over 3-month post-stroke completed a study protocol, including smartphone-based EMA and two lab visits. Participants responded to five EMA surveys daily for 14 days to assess cognition. They completed patient-reported measures and neuropsychological assessments during lab visits. Using latent class analysis, we derived four indicators to quantify cognitive variability and identified latent classes among participants. We used ANOVA and Chi-square to test differences between these latent classes in daily activities, social functioning, and neuropsychological performance., Results: The latent class analysis converged on a three-class model. The moderate and high variability classes demonstrated significantly greater problems in daily activities and social functioning than the low class. They had significantly higher proportions of participants with problems in daily activities and social functioning than the low class. Neuropsychological performance was not statistically different between the three classes, although a trend approaching statistically significant difference was observed in working memory and executive function domains., Discussion: EMA could capture intraindividual cognitive variability in stroke survivors. It offers a new approach to understanding the impact and mechanism of post-stroke cognitive problems in daily life and identifying individuals benefiting from self-regulation interventions.

Wearable sensors can measure movement in daily life, an outcome that is salient to patients, and have been critical to accelerating progress in rehabilitation research and practice. However, collecting and processing sensor data is burdensome, leaving many scientists with limited access to such data. To address these challenges, we present a harmonized, wearable sensor dataset that combines 2,885 recording days of sensor data from the upper and lower limbs from eight studies. The dataset includes 790 individuals ages 0 - 90, nearly equal sex proportions (53% male, 47% female), and representation from a range of demographic backgrounds (69.4% White, 24.9% Black, 1.8% Asian) and clinical conditions (46% neurotypical, 31% stroke, 7% Parkinson's disease, 6% orthopedic conditions, and others). The dataset is publicly available and accompanied by open source code and an app that allows for interaction with the data. This dataset will facilitate the use of sensor data to advance rehabilitation research and practice, improve the reproducibility and replicability of wearable sensor studies, and minimize costs and duplicated scientific efforts., Competing Interests: Competing interests The authors report no conflicts of interest.

Background: Adults with treatment-resistant late-life depression (TRLLD) have high rates of sleep problems; however, little is known about the occurrence and change in sleep during pharmacotherapy of TRLLD. This analysis examined: (1) the occurrence of insufficient sleep among adults with TRLLD; (2) how sleep changed during pharmacotherapy; and (3) whether treatment outcomes differed among participants with persistent insufficient sleep, worsened sleep, improved sleep, or persistent sufficient sleep., Methods: Secondary analysis of data from 634 participants age 60+ years in the OPTIMUM clinical trial for TRLLD. Sleep was assessed using the sleep item from the Montgomery-Asberg Depression Rating Scale at the beginning (week-0) and end (week-10) of treatment. The analyses examined whether treatment outcomes differed among participants with persistent insufficient sleep, worsened sleep, improved sleep, or persistent sufficient sleep during depression treatment., Results: About half (51%, n = 323) of participants reported insufficient sleep at baseline. Both persistent insufficient sleep (25%, n = 158) and worsened sleep (10%, n = 62) during treatment were associated with antidepressant nonresponse. Participants who maintained sufficient sleep (26%, n = 164) or who improved their sleep (n = 25%, n = 158) were three times more likely to experience a depression response than those with persistent insufficient sleep or worsened sleep., Conclusion: Insufficient sleep is common in TRLLD and it is associated with poorer treatment response to antidepressants., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

A single dose of psilocybin, a psychedelic that acutely causes distortions of space-time perception and ego dissolution, produces rapid and persistent therapeutic effects in human clinical trials 1-4 . In animal models, psilocybin induces neuroplasticity in cortex and hippocampus 5-8 . It remains unclear how human brain network changes relate to subjective and lasting effects of psychedelics. Here we tracked individual-specific brain changes with longitudinal precision functional mapping (roughly 18 magnetic resonance imaging visits per participant). Healthy adults were tracked before, during and for 3 weeks after high-dose psilocybin (25 mg) and methylphenidate (40 mg), and brought back for an additional psilocybin dose 6-12 months later. Psilocybin massively disrupted functional connectivity (FC) in cortex and subcortex, acutely causing more than threefold greater change than methylphenidate. These FC changes were driven by brain desynchronization across spatial scales (areal, global), which dissolved network distinctions by reducing correlations within and anticorrelations between networks. Psilocybin-driven FC changes were strongest in the default mode network, which is connected to the anterior hippocampus and is thought to create our sense of space, time and self. Individual differences in FC changes were strongly linked to the subjective psychedelic experience. Performing a perceptual task reduced psilocybin-driven FC changes. Psilocybin caused persistent decrease in FC between the anterior hippocampus and default mode network, lasting for weeks. Persistent reduction of hippocampal-default mode network connectivity may represent a neuroanatomical and mechanistic correlate of the proplasticity and therapeutic effects of psychedelics., (© 2024. The Author(s).)

Background: The perioperative period can be a stressful time for many patients. Concerns for the procedure or fearing potential complications contribute to perioperative anxiety and depression, which significantly impact patient wellbeing and recovery. Understanding the psychological impact of the perioperative period can inform individualized care focused on each patient's unique stressors. Compassion-based interventions are limited but have shown benefits in non-surgical healthcare settings, and can provide support by prioritizing empathy and understanding in the perioperative period. This review evaluates the impact of compassion-based interventions on anxiety and depression among adult surgical patients., Methods: A systematic review of 25 randomized controlled trials was conducted with a meta-analysis of 14 studies for anxiety and 9 studies for depression that provided sufficient information., Results: The included studies tested compassion-based interventions that focused on enhanced communication, emotional support, and individualized attention from healthcare professionals. In 72 % of the studies, the interventions decreased anxiety and depression, compared to control groups. These interventions improved health-related outcomes such patient satisfaction and postoperative complications. The meta-analysis indicated a large effect of the compassion-based interventions for anxiety (g = -0.95) and depressive symptoms (g = -0.82). The findings were consistent among various surgeries and patient populations., Limitations: Many of the included studies lacked clarity in their methods and only 14 studies provided sufficient information for the meta-analysis., Conclusions: Given the growing evidence suggesting that compassion-based psychological interventions are feasible and applicable in the perioperative setting, their inclusion in routine care could reduce depression and anxiety around surgery and improve patient outcomes and experiences., Competing Interests: Declaration of competing interest None., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Objectives: Perioperative mental health of older Black surgical patients is associated with poor surgical outcomes; however, evidence-based perioperative interventions are lacking. Our two study objectives included: first, examine factors affecting perioperative care experiences of older Black surgical patients with mental health problems, and second, ascertain design and implementation requirements for a culturally-adapted perioperative mental health intervention., Design Setting and Participants: We conducted six focus groups with older Black patients (n = 15; ≥50 years; surgery within the past 5 years and/or interest in mental health research; history of distress, anxiety, or depression coping with surgery/hospitalization/) from a large academic medical center. We engaged study partners, including interventionists and community members, to gather insights on intervention and implementation needs. We followed a hybrid inductive-deductive thematic approach using open coding and the National Institute on Minority Health and Health Disparities Research Framework., Results: Patients reported that their psychological well-being and long-term mental health outcomes were not appropriately considered during perioperative care. Perceived stressors included interpersonal and structural barriers to using mental healthcare services, clinician treatment biases and ageism in care, and lack of healthcare professional connections/resources. Patients utilized various coping strategies, including talk therapy, faith/spirituality, and family and friends., Conclusion: This study offers valuable insights into the experiences of older Black surgical patients and the critical elements for developing a personalized perioperative mental health intervention to support their well-being before, during, and after surgery. Our findings demonstrated a need for a patient-centered and culturally adapted intervention targeting the individual/behavioral and interpersonal levels. Informed by the cultural adaptation framework, we propose a multi-component intervention that integrates psychological and pharmacological components., Competing Interests: DISCLOSURES The authors declare none. The data has not been previously presented orally or by poster at scientific meetings., (Copyright © 2024 American Association for Geriatric Psychiatry. Published by Elsevier Inc. All rights reserved.)

Background: Older surgical patients with depression often experience poor postoperative outcomes. Poor outcomes may stem from brain-hazardous medications and subadequate antidepressant dosing., Methods: This was a retrospective, observational cohort study covering the period between January 1, 2021 and December 31, 2021. Patients ≥60 years of age who underwent inpatient surgery and had an overnight stay at an integrated academic health care system comprising 14 hospitals were eligible. We analyzed the prevalence of home central nervous system (CNS)-active potentially inappropriate medication (PIM) and potential subadequate antidepressant dosing in older surgical patients receiving home antidepressants. Univariable and multivariable regression models were used to identify factors associated with home CNS-active PIM prescribing and potential subadequate antidepressant dosing. Additionally, outcomes were compared among patients receiving and not receiving CNS-active PIMs and patients receiving and not receiving subadequate antidepressant dosing., Results: A total of 8031 patients were included in this study (47% female, mean age = 70 years) of whom 2087 (26%) were prescribed antidepressants. Roughly one-half (49%, 95% confidence interval [CI], 46.5-50.1) of patients receiving home antidepressants were also receiving ≥1 CNS-active PIM and 29% (95% CI, 27.0-29.3) were receiving a potential subadequate dose. Factors associated with an increased likelihood of receiving a home CNS-active PIM included female sex (adjusted odds ratio [aOR], 1.46), anxiety (aOR, 2.43), asthma or chronic obstructive pulmonary disease (aOR, 1.39), and serotonin-norepinephrine reuptake inhibitor use (aOR, 1.54). Patients aged ≥75 years (aOR, 1.57), black race (aOR, 1.48) and those with congestive heart failure (aOR, 1.33) were more likely to be prescribed a potential subadequate antidepressant dose. Patients receiving potential subadequate antidepressant doses were discharged home less often (64% vs 73%), had a longer hospital length of stay (9 days vs 7 days), and a higher mortality rate (18% vs 10%) compared to patients receiving adequate home antidepressant doses (P-value for all <0.01). No differences in these outcomes were found among patients receiving home antidepressants with or without CNS-active PIMs., Conclusions: Older surgical patients receiving antidepressants are frequently prescribed brain-hazardous medications and potentially subadequate antidepressant doses. Those receiving subadequate antidepressant doses may be at risk for worse postoperative outcomes compared to patients receiving adequate doses. The role of preoperative medication optimization to improve outcomes for older surgical patients should be evaluated., Competing Interests: Conflicts of Interest: See Disclosures at the end of the article., (Copyright © 2024 International Anesthesia Research Society.)

Introduction: Alcohol and substance use are increasing in older adults, many of whom have depression, and treatment in this context may be more hazardous. We assessed alcohol and other substance use patterns in older adults with treatment-resistant depression (TRD). We examined patient characteristics associated with higher alcohol consumption and examined the moderating effect of alcohol on the association between clinical variables and falls during antidepressant treatment., Methods: This secondary and exploratory analysis used baseline clinical data and data on falls during treatment from a large randomized antidepressant trial in older adults with TRD (the OPTIMUM trial). Multivariable ordinal logistic regression was used to identify variables associated with higher alcohol use. An interaction model was used to evaluate the moderating effect of alcohol on falls during treatment., Results: Of 687 participants, 51% acknowledged using alcohol: 10% were hazardous drinkers (AUDIT-10 score ≥5) and 41% were low-risk drinkers (score 1-4). Benzodiazepine use was seen in 24% of all participants and in 21% of drinkers. Use of other substances (mostly cannabis) was associated with alcohol consumption: it was seen in 5%, 9%, and 15% of abstainers, low-risk drinkers, and hazardous drinkers, respectively. Unexpectedly, use of other substances predicted increased risk of falls during antidepressant treatment only in abstainers., Conclusions: One-half of older adults with TRD in this study acknowledged using alcohol. Use of alcohol concurrent with benzodiazepine and other substances was common. Risks-such as falls-of using alcohol and other substances during antidepressant treatment needs further study., (© 2024 The Author(s). International Journal of Geriatric Psychiatry published by John Wiley & Sons Ltd.)

Introduction: The impact of depressed mood in daily life is difficult to investigate using traditional retrospective assessments, given daily or even within-day mood fluctuations in various contexts. This study aimed to use a smartphone-based ambulatory assessment to examine real-time relationships between depressed mood and functional behaviors among individuals with stroke., Methods: A total of 202 participants with mild-to-moderate stroke (90% ischemic, 45% female, 44% Black) completed an ecological momentary assessment five times per day for 2 weeks by reporting their depressed mood and functional behaviors regarding where, with whom, and what activity was spent., Results: Participants spent 28% of their wake-up time participating in passive leisure activities but spent the least time in physical (4%) and vocational (9%) activities. Depressed mood was concurrently lower when participants engaged in social activities (β = -0.023 ± 0.011) and instrumental activities of daily living (β = -0.061 ± 0.013); spent time with family members (β = -0.061 ± 0.014), spouses (β = -0.043, ± 0.016), friends (β = -0.094, ± 0.021), and coworkers (β = -0.050 ± 0.021); and were located in restaurants (β = -0.068 ± 0.029), and homes of family members (β = -0.039 ± 0.020) or friends (β = -0.069 ± 0.031). Greater depressed mood was associated with worse ratings in satisfaction, performance, and engagement of activities in concurrent (βs = -0.036 ± 0.003, -0.053 ± 0.003, -0.044 ± 0.003) and time-lagged models (βs = -0.011 ± 0.004, -0.012 ± 0.004, -0.013 ± 0.004)., Discussion: Smartphone-based ambulatory assessment can elucidate functional behaviors and associated mood after stroke. Findings support behavioral activation treatments to schedule social and instrumental activities for stroke survivors to reduce their depressed mood., Competing Interests: Declaration of conflicting interestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Dr Lenze reported research support from the National Institutes of Health (NIH), Patient-Centered Outcomes Research Institute, and Mercatus Center Emergent Ventures outside the submitted work. He also received grant support (loaned equipment for research) from MagStim. He has served as a consultant for Prodeo, Janssen Pharmaceuticals, and Boehringer Ingelheim. Dr Lee reported research support from the NIH, Barnes-Jewish Foundation, Biogen and consulting fees from Regenera outside the submitted work. Dr Mohr reported research support from the NIH, personal fees from Apple and other support from Actualize Therapy and Otsuka Pharmaceuticals. Dr Mohr has an ownership interest in Adaptive Health and had a patent to US Patent 15/654,245, 2018 pending. Dr Metts has an ownership interest in Infinite Arms. Dr Wong reported research support from the NIH, National Institute on Disability, Independence, and Rehabilitation Research, American Occupational Therapy Foundation, and Craig H. Neilsen Foundation. No other disclosures were reported.

Introduction: Late-life treatment-resistant depression (LL-TRD) is common and increases risk for accelerated ageing and cognitive decline. Impaired sleep is common in LL-TRD and is a risk factor for cognitive decline. Slow wave sleep (SWS) has been implicated in key processes including synaptic plasticity and memory. A deficiency in SWS may be a core component of depression pathophysiology. The anaesthetic propofol can induce electroencephalographic (EEG) slow waves that resemble SWS. Propofol may enhance SWS and oral antidepressant therapy, but relationships are unclear. We hypothesise that propofol infusions will enhance SWS and improve depression in older adults with LL-TRD. This hypothesis has been supported by a recent small case series., Methods and Analysis: SWIPED (Slow Wave Induction by Propofol to Eliminate Depression) phase I is an ongoing open-label, single-arm trial that assesses the safety and feasibility of using propofol to enhance SWS in older adults with LL-TRD. The study is enrolling 15 English-speaking adults over age 60 with LL-TRD. Participants will receive two propofol infusions 2-6 days apart. Propofol infusions are individually titrated to maximise the expression of EEG slow waves. Preinfusion and postinfusion sleep architecture are evaluated through at-home overnight EEG recordings acquired using a wireless headband equipped with dry electrodes. Sleep EEG recordings are scored manually. Key EEG measures include sleep slow wave activity, SWS duration and delta sleep ratio. Longitudinal changes in depression, suicidality and anhedonia are assessed. Assessments are performed prior to the first infusion and up to 10 weeks after the second infusion. Cognitive ability is assessed at enrolment and approximately 3 weeks after the second infusion., Ethics and Dissemination: The study was approved by the Washington University Human Research Protection Office. Recruitment began in November 2022. Dissemination plans include presentations at scientific conferences, peer-reviewed publications and mass media. Positive results will lead to a larger phase II randomised placebo-controlled trial., Trial Registration Number: NCT04680910., Competing Interests: Competing interests: BJAP has a patent on control of anaesthetic state modulation and an agreement with Elemind on the use of non-pharmacological potentiation of EEG slow waves. EL reports consulting fees from Merck, Boehringer-Ingelheim, Pritikin ICR, IngenioRx and Prodeo, grant funding from Janssen, the COVID Early Treatment Fund and FastGrants, and a patent pending on sigma-1 receptor agonists for COVID-19. BPL reports consulting fees from Eisai, Eli Lilly, OrbiMed and the GLG Group. He has also received research funding from Eisai and serves on the Scientific Advisory Board for Beacon Biosignals and a Data Safety Monitoring Board for Eli Lilly. RLR and MK have no conflicts to disclose concerning any product mentioned or concept discussed in this article. MK, BPL, EL and BJAP have received funding from the National Institutes of Health., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

In this study, we aimed to improve upon a published population pharmacokinetic (PK) model for venlafaxine (VEN) in the treatment of depression in older adults, then investigate whether CYP2D6 metabolizer status affected model-estimated PK parameters of VEN and its active metabolite O-desmethylvenlafaxine. The model included 325 participants from a clinical trial in which older adults with depression were treated with open-label VEN (maximum 300 mg/day) for 12 weeks and plasma levels of VEN and O-desmethylvenlafaxine were assessed at weeks 4 and 12. We fitted a nonlinear mixed-effect PK model using NONMEM to estimate PK parameters for VEN and O-desmethylvenlafaxine adjusted for CYP2D6 metabolizer status and age. At both lower doses (up to 150 mg/day) and higher doses (up to 300 mg/day), CYP2D6 metabolizers impacted PK model-estimated VEN clearance, VEN exposure, and active moiety (VEN + O-desmethylvenlafaxine) exposure. Specifically, compared with CYP2D6 normal metabolizers, (i) CYP2D6 ultra-rapid metabolizers had higher VEN clearance; (ii) CYP2D6 intermediate metabolizers had lower VEN clearance; (iii) CYP2D6 poor metabolizers had lower VEN clearance, higher VEN exposure, and higher active moiety exposure. Overall, our study showed that including a pharmacogenetic factor in a population PK model could increase model fit, and this improved model demonstrated how CYP2D6 metabolizer status affected VEN-related PK parameters, highlighting the importance of genetic factors in personalized medicine., (© 2024 The Authors. Clinical Pharmacology & Therapeutics published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics.)

Objective: To examine the relationships between post-stroke depression and cognition using network analysis. In particular, we identified central depressive symptoms, central cognitive performances, and bridge components that connect these 2 constructs., Design: An observational study. We applied network analysis to analyze baseline data to visualize and quantify the relationships between depression and cognition., Setting: Home and Community., Participants: 202 participants with mild-to-moderate stroke (N=202; mean age: 59.7 years; 55% men; 55% Whites; 90% ischemic stroke)., Intervention: Not applicable., Main Outcome Measures: Patient Health Questionnaire (PHQ-8) for depressive symptoms and the NIH Toolbox Cognitive Battery for cognitive performances., Results: Depressive symptoms were positively intercorrelated with the network, with symptoms from similar domains clustered together. Mood (expected influence=1.58), concentration (expected influence=0.67), and guilt (expected influence=0.63) were the top 3 central depressive symptoms. Cognitive performances also showed similar network patterns, with executive function (expected influence=0.89), expressive language (expected influence=0.68), and processing speed (expected influence=0.48) identified as the top 3 central cognitive performances. Psychomotor functioning (bridge expected influence=2.49) and attention (bridge expected influence=1.10) were the components connecting depression and cognition., Conclusions: The central and bridge components identified in this study might serve as targets for interventions against these deficits. Future trials are needed to compare the effectiveness of interventions targeting the central and bridge components vs general interventions treating depression and cognitive impairment as a homogenous clinical syndrome., (Copyright © 2023 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.)

Bupropion is used for treating depression, obesity, and seasonal affective disorder, and for smoking cessation. Bupropion is commonly prescribed, but has complex pharmacokinetics and interindividual variability in metabolism and bioactivation may influence therapeutic response, tolerability, and safety. Bupropion is extensively and stereoselectively metabolized, the metabolites are pharmacologically active, and allelic variation in cytochrome P450 (CYP) 2B6 affects clinical hydroxylation of single-dose bupropion. Genetic effects on stereoselective disposition of steady-state bupropion are not known. In this preplanned secondary analysis of a prospective, randomized, double-blinded, crossover study which compared brand and generic bupropion XL 300 mg drug products, we measured steady-state enantiomeric plasma and urine parent bupropion and primary and secondary metabolite concentrations. This investigation evaluated the influence of genetic polymorphisms in CYP2B6 , CYP2C19 , and P450 oxidoreductase on the disposition of Valeant Pharmaceuticals Wellbutrin brand bupropion in 67 participants with major depressive disorder. We found that hydroxylation of both bupropion enantiomers was lower in carriers of the CYP2B6*6 allele and in carriers of the CYP2B6 516G>T variant, with correspondingly greater bupropion and lesser hydroxybupropion plasma concentrations. Hydroxylation was 25-50% lower in CYP2B6*6 carriers and one-third to one-half less in 516T carriers. Hydroxylation of the bupropion enantiomers was comparably affected by CYP2B6 variants. CYP2C19 polymorphisms did not influence bupropion plasma concentrations or hydroxybupropion formation but did influence the minor pathway of 4'-hydroxylation of bupropion and primary metabolites. P450 oxidoreductase variants did not influence bupropion disposition. Results show that CYP2B6 genetic variants affect steady-state metabolism and bioactivation of Valeant brand bupropion, which may influence therapeutic outcomes. SIGNIFICANCE STATEMENT: Bupropion, used for depression, obesity, and smoking cessation, undergoes metabolic bioactivation, with incompletely elucidated interindividual variability. We evaluated cytochrome P450 (CYP) 2B6 , CYP2C19 and P450 oxidoreductase genetic variants and steady-state bupropion and metabolite enantiomers disposition. Both enantiomers hydroxylation was lower in CYP2B6*6 and CYP2B6 516G>T carriers, with greater bupropion and lesser hydroxybupropion plasma concentrations. CYP2C19 polymorphisms did not affect bupropion or hydroxybupropion but did influence minor 4'-hydroxylation of bupropion and primary metabolites. CYP2B6 variants affect steady-state bupropion bioactivation, which may influence therapeutic outcomes., (Copyright © 2024 by The American Society for Pharmacology and Experimental Therapeutics.)

Introduction: Preoperative anxiety and depression symptoms among older surgical patients are associated with poor postoperative outcomes, yet evidence-based interventions for anxiety and depression have not been applied within this setting. We present a protocol for randomised controlled trials (RCTs) in three surgical cohorts: cardiac, oncological and orthopaedic, investigating whether a perioperative mental health intervention, with psychological and pharmacological components, reduces perioperative symptoms of depression and anxiety in older surgical patients., Methods and Analysis: Adults ≥60 years undergoing cardiac, orthopaedic or oncological surgery will be enrolled in one of three-linked type 1 hybrid effectiveness/implementation RCTs that will be conducted in tandem with similar methods. In each trial, 100 participants will be randomised to a remotely delivered perioperative behavioural treatment incorporating principles of behavioural activation, compassion and care coordination, and medication optimisation, or enhanced usual care with mental health-related resources for this population. The primary outcome is change in depression and anxiety symptoms assessed with the Patient Health Questionnaire-Anxiety Depression Scale from baseline to 3 months post surgery. Other outcomes include quality of life, delirium, length of stay, falls, rehospitalisation, pain and implementation outcomes, including study and intervention reach, acceptability, feasibility and appropriateness, and patient experience with the intervention., Ethics and Dissemination: The trials have received ethics approval from the Washington University School of Medicine Institutional Review Board. Informed consent is required for participation in the trials. The results will be submitted for publication in peer-reviewed journals, presented at clinical research conferences and disseminated via the Center for Perioperative Mental Health website., Trial Registration Numbers: NCT05575128, NCT05685511, NCT05697835, pre-results., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Previous studies have shown significant sex-specific differences in major depressive disorder (MDD) in multiple biological parameters. Most studies focused on young and middle-aged adults, and there is a paucity of information about sex-specific biological differences in older adults with depression (aka, late-life depression (LLD)). To address this gap, this study aimed to evaluate sex-specific biological abnormalities in a large group of individuals with LLD using an untargeted proteomic analysis. We quantified 344 plasma proteins using a multiplex assay in 430 individuals with LLD and 140 healthy comparisons (HC) (age range between 60 and 85 years old for both groups). Sixty-six signaling proteins were differentially expressed in LLD (both sexes). Thirty-three proteins were uniquely associated with LLD in females, while six proteins were uniquely associated with LLD in males. The main biological processes affected by these proteins in females were related to immunoinflammatory control. In contrast, despite the smaller number of associated proteins, males showed dysregulations in a broader range of biological pathways, including immune regulation pathways, cell cycle control, and metabolic control. Sex has a significant impact on biomarker changes in LLD. Despite some overlap in differentially expressed biomarkers, males and females show different patterns of biomarkers changes, and males with LLD exhibit abnormalities in a larger set of biological processes compared to females. Our findings can provide novel targets for sex-specific interventions in LLD., Competing Interests: Declaration of competing interest Dr. Lenze is a consultant for Merck, Prodeo, Boehringer-Ingelheim, Pritikin ICR, and IngenioRxDr. Lenze has a patent application for sigma-1 agonists in COVID-19 treatment. He also receives research support from PCORI, the COVID Early Treatment Fund, Emergent Venture FastGrants, and MagStim. Dr. Wu is consultant for Genzyme, Novartis, Roche, and The Department of Justice. Dr. Karp reports receipt of honorarium from Otsuka for preparation and presentation of a webinar (disease-state, not product-focused) and from NightWare for scientific advising and equity from Aifred Health for scientific advising. Dr. Mulsant holds and receives support from the Labatt Family Chair in Biology of Depression in Late-Life Adults at the University of Toronto. He also receives compensation from the Centre for Addiction and Mental Health (CAMH), Toronto, Ontario. He currently receives research support from Brain Canada, the Canadian Institutes of Health Research, the CAMH Foundation, the US National Institute of Health (NIH), Capital Solution Design LLC (software used in a study founded by CAMH Foundation), and HAPPYneuron (software used in a study founded by Brain Canada). Within the past three years, he has received research support from the Patient-Centered Outcomes Research Institute (PCORI) and he has been an unpaid consultant to Myriad Neuroscience. Dr. Blumberger receives research support from CIHR, N.I.H., Brain Canada and the Temerty Family through the CAMH Foundation and the Campbell Research Institute. He received research support and in-kind equipment support for an investigator-initiated study from Brainsway Ltd. and he is the site principal investigator for one sponsor-initiated study for Brainsway Ltd. He also receives in-kind equipment support from Magventure for investigator-initiated studies. He received medication supplies for an investigator-initiated trial from Indivior. The other co-authors do not have a conflict of interest related to this study., (Copyright © 2024 Elsevier B.V. All rights reserved.)

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., (Copyright © 2023 by the American College of Sports Medicine.)

Background and Objectives: Much of the burden of depressive illness is due to relapses that occur after treatment into remission. Prediction of an individual's imminent depressive relapse could lead to just-in-time interventions to prevent relapse, reducing depression's substantial burden of disability, costs, and suicide risk. Increasingly strong relationships in the form of autocorrelations between depressive symptoms, a signal of a phenomenon described as critical slowing down (CSD), have been proposed as a means of predicting relapse., Methods: In the current study, four participants in remission from depression, one of whom relapsed, responded to daily smartphone surveys with depression symptoms. We used p-technique factor analysis to identify depression factors from over 100 survey responses. We then tested for the presence of CSD using time-varying vector autoregression and detrended fluctuation analysis., Results: We found evidence that CSD provided an early warning sign for depression in the participant who relapsed, but we also detected false positive indications of CSD in participants who did not relapse. Results from time-varying vector autoregression and detrended fluctuation analysis were not in agreement., Limitations: Limitations include use of secondary data and a small number of participants with daily responding to a subset of depression symptoms., Conclusions: CSD provides a compelling framework for predicting depressive relapse and future research should focus on improving detection of early warning signs reliably. Improving early detection methods for depression is clinically significant, as it would allow for the development of just-in-time interventions., Competing Interests: Declaration of competing interest None., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Background: Major depressive disorder (MDD) is a heterogeneous condition; multiple underlying neurobiological and behavioral substrates are associated with treatment response variability. Understanding the sources of this variability and predicting outcomes has been elusive. Machine learning (ML) shows promise in predicting treatment response in MDD, but its application is limited by challenges to the clinical interpretability of ML models, and clinicians often lack confidence in model results. In order to improve the interpretability of ML models in clinical practice, our goal was to demonstrate the derivation of treatment-relevant patient profiles comprised of clinical and demographic information using a novel ML approach., Methods: We analyzed data from six clinical trials of pharmacological treatment for depression (total n = 5438) using the Differential Prototypes Neural Network (DPNN), a ML model that derives patient prototypes which can be used to derive treatment-relevant patient clusters while learning to generate probabilities for differential treatment response. A model classifying remission and outputting individual remission probabilities for five first-line monotherapies and three combination treatments was trained using clinical and demographic data. Prototypes were evaluated for interpretability by assessing differences in feature distributions (e.g. age, sex, symptom severity) and treatment-specific outcomes., Results: A 3-prototype model achieved an area under the receiver operating curve of 0.66 and an expected absolute improvement in remission rate for those receiving the best predicted treatment of 6.5% (relative improvement of 15.6%) compared to the population remission rate. We identified three treatment-relevant patient clusters. Cluster A patients tended to be younger, to have increased levels of fatigue, and more severe symptoms. Cluster B patients tended to be older, female, have less severe symptoms, and the highest remission rates. Cluster C patients had more severe symptoms, lower remission rates, more psychomotor agitation, more intense suicidal ideation, and more somatic genital symptoms., Conclusion: It is possible to produce novel treatment-relevant patient profiles using ML models; doing so may improve interpretability of ML models and the quality of precision medicine treatments for MDD., (Copyright © 2023 American Association for Geriatric Psychiatry. Published by Elsevier Inc. All rights reserved.)

Objectives: The perioperative period is challenging and stressful for older adults. Those with depression and/or anxiety have an increased risk of adverse surgical outcomes. We assessed the feasibility of a perioperative mental health intervention composed of medication optimization and a wellness program following principles of behavioral activation and care coordination for older surgical patients., Methods: We included orthopedic, oncologic, and cardiac surgical patients aged 60 and older. Feasibility outcomes included study reach, the number of patients who agreed to participate out of the total eligible; and intervention reach, the number of patients who completed the intervention out of patients who agreed to participate. Intervention efficacy was assessed using the Patient Health Questionnaire for Anxiety and Depression (PHQ-ADS). Implementation potential and experiences were collected using patient surveys and qualitative interviews. Complementary caregiver feedback was also collected., Results: Twenty-three out of 28 eligible older adults participated in this study (mean age 68.0 years, 65% women), achieving study reach of 82% and intervention reach of 83%. In qualitative interviews, patients (n = 15) and caregivers (complementary data, n = 5) described overwhelmingly positive experiences with both the intervention components and the interventionist, and reported improvement in managing depression and/or anxiety. Preliminary efficacy analysis indicated improvement in PHQ-ADS scores (F = 12.13, p <0.001)., Conclusions: The study procedures were reported by participants as feasible and the perioperative mental health intervention to reduce anxiety and depression in older surgical patients showed strong implementation potential. Preliminary data suggest its efficacy for improving depression and/or anxiety symptoms. A randomized controlled trial assessing the intervention and implementation effectiveness is currently ongoing., (Copyright © 2023 American Association for Geriatric Psychiatry. Published by Elsevier Inc. All rights reserved.)

Background: The magnitude of the placebo response depends on both the modality used as the "placebo" and the intervention with which it is compared, both of which can complicate the interpretation of randomized controlled trials (RCTs) for depression in late life. Given that neurostimulation and pharmacotherapy are among the most common interventions studied for late-life depression, comparing the relative placebo responses in studies of these interventions can aid interpretation of relative effect sizes., Materials and Methods: We analyzed data from two RCTs of adults aged ≥60 years in an episode of treatment-resistant major depression, one comparing aripiprazole and matching placebo pills and the other comparing deep repetitive transcranial magnetic stimulation (rTMS) and sham rTMS. In both RCTs, depression was assessed using the 17-item Hamilton Depression Rating Scale (HDRS-17). The primary comparison occurred after four weeks using analysis of covariance (ANCOVA) of HDRS-17 scores in participants who received placebo pills or sham rTMS. Relevant covariates included years of education, duration of depressive episode, and baseline HDRS-17 score., Results: Accounting for covariates, there was a larger reduction of HDRS-17 after four weeks in the sham rTMS group (estimated marginal mean ± SE: -5.90 ± 1.45; 95% CI: [-8.82, 2.98]) than in the placebo pills group (-1.07 ± 1.45; [-3.98, 1.85]). There were no significant differences between these groups in the binary outcome analysis of response and remission rates at four weeks or any outcome at trial end point comparison., Conclusions: Sham rTMS may have a larger placebo response than placebo pills early in the treatment of older adults with treatment-resistant depression. Differential placebo responses should be considered in both the interpretation and design of RCTs., (Copyright © 2021 International Neuromodulation Society. Published by Elsevier Inc. All rights reserved.)

KEY POINTS COVID-induced parosmia is associated with anxiety, depression, and suicidal ideation. Parosmic patients have low rates of treatment benefit and little hope for improvement. Hyposmia may mitigate the quality-of-life burden in patients with parosmia., (© 2023 ARS-AAOA, LLC.)

Introduction: Alzheimer's disease (AD) blood tests are likely to become increasingly important in clinical practice, but they need to be evaluated in diverse groups before use in the general population., Methods: This study enrolled a community-based sample of older adults in the St. Louis, Missouri, USA area. Participants completed a blood draw, Eight-Item Informant Interview to Differentiate Aging and Dementia (AD8 ® ), Montreal Cognitive Assessment (MoCA), and survey about their perceptions of the blood test. A subset of participants completed additional blood collection, amyloid positron emission tomography (PET), magnetic resonance imaging (MRI), and Clinical Dementia Rating (CDR ® )., Results: Of the 859 participants enrolled in this ongoing study, 20.6% self-identified as Black or African American. The AD8 and MoCA correlated moderately with the CDR. The blood test was well accepted by the cohort, but it was perceived more positively by White and highly educated individuals., Discussion: Studying an AD blood test in a diverse population is feasible and may accelerate accurate diagnosis and implementation of effective treatments., Highlights: A diverse group of older adults was recruited to evaluate a blood amyloid test. The enrollment rate was high and the blood test was well accepted by participants. Cognitive impairment screens have moderate performance in a diverse population. Alzheimer's disease blood tests are likely to be feasible for use in real-world settings., (© 2023 The Authors. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.)

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.

This review presents a comprehensive guide for optimizing medication management in older adults with depression within an outpatient setting. Medication optimization involves tailoring the antidepressant strategy to the individual, ensuring the administration of appropriate medications at optimal dosages. In the case of older adults, this process necessitates not only adjusting or changing antidepressants but also addressing the concurrent use of inappropriate medications, many of which have cognitive side effects. This review outlines various strategies for medication optimization in late-life depression: (1) Utilizing the full dose range of a medication to maximize therapeutic benefits and strive for remission. (2) Transitioning to alternative classes (such as a serotonin and norepinephrine reuptake inhibitor [SNRI], bupropion, or mirtazapine) when first-line treatment with selective serotonin reuptake inhibitors [SSRIs] proves inadequate. (3) Exploring augmentation strategies like aripiprazole for treatment-resistant depression. (4) Implementing measurement-based care to help adjust treatment. (5) Sustaining an effective antidepressant strategy for at least 1 year following depression remission, with longer durations for recurrent episodes or severe presentations. (6) Safely discontinuing anticholinergic medications and benzodiazepines by employing a tapering method when necessary, coupled with counseling about the benefits of stopping them. Additionally, this article explores favorable medications for depression, as well as alternatives for managing anxiety, insomnia, allergy, overactive bladder, psychosis, and muscle spasm in order to avoid potent anticholinergics and benzodiazepines., (© The Author(s), 2023.)

Introduction: Preclinical Alzheimer's disease (AD) affects a significant proportion of cognitively unimpaired (CU) older adults. Currently, blood-based biomarkers detect very early changes in the AD continuum with great accuracy., Methods: We measured baseline plasma phosphorylated tau (p-tau)181 using electrochemiluminescence (ECL)-based assay (MesoScale Discovery) in 533 CU older adults. Follow-up lasted up to 18 months. Cognitive performance assessment included memory and cognitive control. Structural brain measures included cortical thickness, which includes the AD magnetic resonance imaging (AD MRI) signature, and hippocampal volume., Results: In this cohort of CU older adults, baseline plasma p-tau181 levels were not associated with short-term changes in cognition and structural brain measures. Also, baseline plasma p-tau levels did not influence the effects of behavioral interventions (exercise or mindfulness) on cognitive and structural brain changes., Discussion: The short follow-up and healthy status of this CU cohort might have limited the sensitivity of plasma p-tau181 in detecting changes associated with AD pathology., Competing Interests: The authors declare no conflicts of interest. Author disclosures are available in the supporting information., (© 2023 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals LLC on behalf of Alzheimer's Association.)

The intervals before and after major surgery is a high-risk period for older adults; in this setting, anxiety and depression are common and serious problems. We comprehensively reviewed current evidence on perioperative anxiety and depression in older adults, focusing on epidemiology, impact, correlates, medication risks, and treatment. Principles of perioperative mental healthcare are proposed based on the findings. Prevalence estimates of clinically significant anxiety and depression range from 5% to 45% for anxiety and 6% to 52% for depression, depending on surgical populations and measurement tools. Anxiety and depression may increase risk for surgical complications and reduce patient participation during rehabilitation. Medical comorbidities, pain, insomnia, cognitive impairment, and delirium are common co-occurring problems. Concomitant uses of central nervous system acting medications (benzodiazepines, anticholinergics, and opioids) amplify the risks of delirium and falls. Based on these findings, we propose that anxiety and depression care should be part of perioperative management in older adults; components include education, psychological support, opioid-sparing pain management, sleep management, deprescribing central nervous system active medications, and continuation and optimization of existing antidepressants. More research is needed to test and improve these care strategies., (Copyright © 2023 American Association for Geriatric Psychiatry. Published by Elsevier Inc. All rights reserved.)

Background: Anxiety and depression are common among older adults and can intensify during perioperative periods, but few mental health interventions are designed for older surgical patients' unique needs. As part of the feasibility trial, we developed and adapted a perioperative mental health (PMH) bundle for older patients comprised of behavioral activation (BA) and medication optimization (MO) to ameliorate anxiety and depressive symptoms before, during, and after cardiac, orthopedic, and oncologic surgery., Methods: We used mixed-methods including workshop studios with patients, caregivers, clinicians, researchers, and interventionists; intervention refinement and reflection meetings; patient case review meetings; intervention session audio-recordings and documentation forms; and patient and caregiver semi-structured interviews. We used the results to refine our PMH bundle. We used multiple analytical approaches to report the nature of adaptations, including hybrid thematic analysis and content analysis informed by the Framework for Reporting Adaptations and Modifications - Expanded., Results: Adaptations were categorized by content (intervention components), context (how the intervention is delivered, based on the study, target population, intervention format, intervention delivery mode, study setting, study personnel), training, and evaluation. Of 51 adaptations, 43.1% involved content, 41.2% involved context, and 15.7% involved training and evaluation. Several key adaptations were noted: (1) Intervention content was tailored to patient preferences and needs (e.g., rewording elements to prevent stigmatization of mental health needs; adjusting BA techniques and documentation forms to improve patient buy-in and motivation). (2) Cohort-specific adaptations were recommended based on differing patient needs. (3) Compassion was identified by patients as the most important element., Conclusions: We identified evidence-based mental health intervention components from other settings and adapted them to the perioperative setting for older adults. Informed by mixed-methods, we created an innovative and pragmatic patient-centered intervention bundle that is acceptable, feasible, and responsive to the needs of older surgical populations. This approach allowed us to identify implementation strategies to improve the reach, scalability, and sustainability of our bundle, and can guide future patient-centered intervention adaptations., Clinical Trials Registration: NCT05110690 (11/08/2021)., (© 2023. The Author(s).)

Obesity, depression and Alzheimer's disease (AD) are three major interrelated modern health conditions with complex relationships. Early-life depression may serve as a risk factor for AD, while late-life depression may be a prodrome of AD. Depression affects approximately 23% of obese individuals, and depression itself raises the risk of obesity by 37%. Mid-life obesity independently increases AD risk, while late-life obesity, particularly metabolically healthy obesity, may offer protection against AD pathology. Chronic inflammation serves as a key mechanism linking obesity, AD, and depression, encompassing systemic inflammation from metabolic disturbances, immune dysregulation through the gut microbiome, and direct interactions with amyloid pathology and neuroinflammation. In this review, we explore the biological mechanisms of neuroinflammation in relation to obesity, AD, and depression. We assess the efficacy of therapeutic interventions targeting neuroinflammation and discuss current and future radiological imaging initiatives for studying neuroinflammation. By comprehending the intricate interplay among depression, obesity, and AD, especially the role of neuroinflammation, we can advance our understanding and develop innovative strategies for prevention and treatment., (Copyright © 2023 American Association for Geriatric Psychiatry. Published by Elsevier Inc. All rights reserved.)

Objective: Recruitment of a sufficiently large and representative patient sample and its retention during central nervous system (CNS) trials presents major challenges for study sponsors. Technological advances are reshaping clinical trial operations to meet these challenges, and the COVID-19 pandemic further accelerated this development., Method of Research: The International Society for CNS Clinical Trials and Methodology (ISCTM; www.isctm.org) Innovative Technologies for CNS Trials Working Group surveyed the state of technological innovations for improved recruitment and retention and assessed their promises and pitfalls., Results: Online advertisement and electronic patient registries can enhance recruitment, but challenges with sample representativeness, conversion rates from eligible prescreening to enrolled patients, data privacy and security, and patient identification remain hurdles for optimal use of these technologies. Electronic medical records (EMR) mining with artificial intelligence (AI)/machine learning (ML) methods is promising but awaits translation into trials. During the study treatment phase, technological innovations increasingly support participant retention, including adherence with the investigational treatment. Digital tools for adherence and retention support take many forms, including patient-centric communication channels between researchers and participants, real-time study reminders, and digital behavioral interventions to increase study compliance. However, such tools add technical complexities to trials, and their impact on the generalizability of results are largely unknown., Conclusion: Overall, the group found a scarcity of systematic data directly assessing the impact of technological innovations on study recruitment and retention in CNS trials, even for strategies with already high adoption, such as online recruitment. Given the added complexity and costs associated with most technological innovations, such data is needed to fully harness technologies for CNS trials and drive further adoption., Competing Interests: DISCLOSURES: Dr. Lutz may have equity interests with Click Therapeutics, Inc. Dr. Lenze has previously consulted for Merck, Prodeo, Boehringer Ingelheim, Pritikin ICR, and IngenioRx; he has previously received funding from PCORI, the COVID-19 Early Treatment Fund, Mercatus/FastGrants, and Janssen; and he has a patent pending for sigma1 receptor agonists for COVID-19 treatment. Dr. Vaidyanathan was an employee of Boehringer Ingelheim at the time of writing. Dr. Robin is an employee of Winterlight Labs, Inc. and has equity interests with Winterlight Labs, Inc. Dr. Horan was an employee of WCG VeraSci at the time of writing, and is now an employee of Karuna Therapeutics. Dr. Brannan is an employee at Karuna Therapeutics. Dr. Lakhan is employed by Click Therapeutics, Inc. and has equity interests. Dr. Keefe serves as a paid consultant to WCG, Karuna, Merck, Sunovion, Biogen, and Boehringer Ingelheim. All other authors have no conflicts of interest relevant to the contents of this article., (Copyright © 2023. Matrix Medical Communications. All rights reserved.)

Background: The Global Initiative for Asthma and National Asthma Education and Prevention Program recently made paradigm-shifting recommendations regarding inhaler management in asthma. The Global Initiative for Asthma now recommends that combination inhaled corticosteroid (ICS)-formoterol inhalers replace short-acting β-agonists as the preferred reliever therapy at all steps of asthma management. Although the most recent guidelines of the National Asthma Education and Prevention Program did not review reliever ICS-formoterol usage in mild asthma, they similarly recommended single maintenance and reliever therapy (SMART) at steps 3 and 4 of asthma management. Despite these recommendations, many clinicians-particularly in the United States-are not prescribing new inhaler paradigms. Clinician-level reasons for this implementation gap remain largely unexplored., Objective: To gain an in-depth understanding of the facilitators and barriers to prescribing reliever ICS-formoterol inhalers and SMART in the United States., Methods: Community and academic primary care providers, pulmonologists, and allergists who reported regularly caring for adults with asthma were interviewed. Interviews were recorded, transcribed, qualitatively coded, and analyzed using the Consolidated Framework for Implementation Research. Interviews were continued until theme saturation., Results: Among 20 interviewed clinicians, only 6 clinicians described regularly prescribing ICS-formoterol inhalers as a reliever inhaler (either alone or within SMART). Significant barriers to new inhaler approaches included concerns surrounding a lack of Food and Drug Administration labeling for ICS-formoterol as a reliever therapy, a lack of awareness regarding a patient's formulary-preferred ICS-long-acting β-agonist choices, the high cost of combination inhalers, and time constraints. Facilitators to using new inhaler approaches included clinicians' beliefs that the latest inhaler recommendations are simpler and more congruent with real-world patients' behavior, and that a potential change in management strategy would offer a valuable opportunity for shared decision making., Conclusions: Although new guidelines exist in asthma, many clinicians described significant barriers to using them including medicolegal issues, pharmaceutical formulary confusion, and high drug costs. Nonetheless, most clinicians believed that the latest inhaler approaches would be more intuitive for their patients and would offer an opportunity for patient-centered collaboration and care. Stakeholders may find these results useful in future attempts to increase the real-world adoption of recent asthma recommendations., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)