Gentry, Melanie T

Objectives: The electroconvulsive therapy for the acute management of severe agitation in dementia (ECT-AD) trial is a multisite study evaluating the effectiveness of ECT for severe agitation in individuals with advanced dementia. Given that participants lack decisional capacity because of advanced cognitive impairment, the trial required a structured and ethically sound approach to obtaining informed consent and assent across jurisdictions with differing legal requirements, including Massachusetts, New York, Georgia, Minnesota, and Michigan. This paper describes the approach used in the study. Methods: We describe the consent framework developed for the ECT-AD trial, including procedures for identifying legally authorized representatives, complying with state-specific laws for ECT consent, obtaining surrogate consent for research participation, and assessing patient assent and dissent using a standardized tool. Conclusions: The approach used in this study may serve as a practical model for future research involving individuals without decision-making capacity and legally complex interventions such as ECT.

Since the discovery of the first psychoactive medications, their psychiatric and medical uses have overlapped. Designating a medication psychiatric or psychotropic is thus arbitrary, based on its most common usage, but labeling it so obscures the full range of its pharmacologic activity and clinical utility. Psychotropic medications (PMs) are frequently used to treat medical conditions or symptoms in the areas of neurology (e.g., migraine, seizure disorder), dermatology (e.g., itching), gastroenterology, and chronic pain, among many others. It is important for both primary care and specialty physicians to be aware of the potential non-psychiatric indications for the use of common PMs such as antidepressants, antipsychotics, and anxiolytics. This review examines the potential benefits and risks of PMs when used for non-psychiatric indications, highlighting how their pharmacologic effects on neurotransmitters contribute to both therapeutic outcomes and adverse effects. It also provides guiding principles for prescribers, including the importance of adjusting doses based on the specific indication, monitoring for harmful side effects, considering age-related factors, and addressing the risks associated with polypharmacy.

ABSTRACT Major depressive disorder (MDD) is a substantial public health challenge. Pharmacogenomics (PGx), which identifies genetic variations that predict drug treatment outcomes, may have utility for clinical practice, but adequate representation of all populations is needed. As precision medicine in psychiatry moves towards the use of Artificial Intelligence (AI) and Machine Learning (ML) to predict treatment outcomes using PGx data, representation of diverse populations will be especially important in order to mitigate algorithmic bias and achieve equitable and generalizable findings. This work sought to quantify population diversity in pharmacogenomic studies of MDD through a systematic review. Data from 390 MDD antidepressant PGx studies were extracted from 5739 articles screened. Studies summarized were predominantly conducted in Europe, East Asia, and North America. Across all global studies, the study population comprised 57.3% White, 36.4% Asian, 1.7% Black, 3.5% Hispanic/Latino, and 0.1% Native American or Indigenous participants. Only sixty‐three (16.2%) studies included Black or Latino/Hispanic patients. Additionally, Black, Asian, Hispanic/Latino, and American Indian/Alaska Native populations were statistically underrepresented in U.S. study populations when compared to national census data, while Asian and Black populations were underrepresented in the United Kingdom. The overrepresentation of participants from a limited number of countries combined with the underrepresentation of Black and Hispanic/Latino populations could impact the extent to which pharmacogenomic testing and associated AI/ML‐based PGx tools could individualize antidepressant medication regimens for treating MDD.

Background: During the COVID-19 pandemic, increased use of telehealth expanded access to health care for older adults. Many clinicians and health systems adjusted workflows and realized that certain competencies are needed to fully engage older adults in telehealth services. This scoping review evaluates the approaches needed to educate clinicians about providing telehealth services to older adults. Methods: We conducted a review of studies published from January 2000 through February 2024 by using the 6-stage scoping review process. Searches of PubMed/MEDLINE and five other databases included the concept areas of competencies, telehealth delivery of mental health services, and older adults. Results: We initially identified 813 articles, of which 89 were eligible for full-text review and 15 met our inclusion criteria. Most studies included training participants about the use of telehealth but without formal curricular interventions or evaluations and lacked details about topics, materials, methods, or outcomes. Telehealth training was general and focused primarily on the use of technology and telepresence, although not specifically for older adults. Three themes were identified from the studies: the role of teams and interprofessional education, the importance of training for clinicians and older patients, and adaptations to improve telehealth delivery for older adults. Conclusions: Individual and institutional competencies are needed to guide educational goals and outcome measures related to telehealth services for older adults. The use of telehealth specifically for older adults may require adaptation to clinical practice and delivery, adjustments to workflow, development of clinician skills, and promotion of interprofessional teamwork.

ABSTRACTPharmacogenetics is a promising strategy to facilitate individualized care for patients with Major Depressive Disorder (MDD). Research is ongoing to identify the optimal genetic markers for predicting outcomes to antidepressant therapies. The primary aim of this systematic review was to summarize antidepressant pharmacogenetic studies to enhance understanding of the genes, variants, datatypes/methodologies, and outcomes investigated in the context of MDD. The secondary aim was to identify clinical genetic panels indicated for antidepressant prescribing and summarize their genes and variants. Screening of N = 5793 articles yielded N = 390 for inclusion, largely comprising adult (≥ 18 years) populations. Top‐studied variants identified in the search were discussed and compared with those represented on the N = 34 clinical genetic panels that were identified. Summarization of articles revealed sources of heterogeneity across studies and low rates of replicability of pharmacogenetic associations. Heterogeneity was present in outcome definitions, treatment regimens, and differential inclusion of mediating variables in analyses. Efficacy outcomes (i.e., response, remission) were studied at greater frequency than adverse‐event outcomes. Studies that used advanced analytical approaches, such as machine learning, to integrate variants with complimentary biological datatypes were fewer in number but achieved higher rates of significant associations with treatment outcomes than candidate variant approaches. As large biological datasets become more prevalent, machine learning will be an increasingly valuable tool for parsing the complexity of antidepressant response. This review provides valuable context and considerations surrounding pharmacogenetic associations in MDD which will help inform future research and translation efforts for guiding antidepressant care.

Objective: To investigate patterns and trends of co-prescriptions of stimulants and sedatives within the last 6 years at a tertiary care center. Method: Patients 18 years of age and older who were dispensed at least one stimulant prescription from an institutional pharmacy between 1/1/2015 and 7/1/2021 were included. Prescription data for any co-prescribed sedative/hypnotic were collected. Results: Both the number of stimulant dispenses and the number of patients with stimulant dispenses increased significantly with yearly incidence rate ratios of 1.115 (95% CI [1.110, 1.119]) and 1.090 (95% CI [1.084, 1.096]), respectively. The number of patients with a stimulant dispensed who also had a benzodiazepine or “Z-drug” sedative-hypnotic dispensed at any point in the search timeframe increased significantly with incidence rate ratios of 1.077 and 1.092, respectively. The number of stimulant dispenses, number of patients with stimulant dispenses, and number of patients with a stimulant dispensed who also had both a benzodiazepine and Z-drug dispensed at any point in the search timeframe increased significantly more in Non-White than in White patients. Conclusions: The results confirm previous findings of increases in dispensing of stimulants over the past 6 years and report increased polypharmacy of stimulants and sedative-hypnotics.

Background. The age of a liver transplant (LT) candidate is one of many variables used in the transplant selection process. Most research about the age at transplant has used prespecified age ranges or categories in assessing associations with transplant outcomes. However, there is a lack of knowledge about the age at transplant and survival. This study aimed to examine associations of age at transplant as a continuous variable, in conjunction with other patient and disease-related factors, with patient and graft survival after LT. Methods. We used the Standard Transplant Analysis and Research data to identify LT recipients between January 2002 and June 2018. Cox regression models with a restricted cubic spline term for age examined associations with graft and patient survival after LT. We assessed the interactions of age with recipients’ sex, race/ethnicity, region, indication for transplant, body mass index, model for end-stage liver disease score, diabetes, functional status at transplant, and donor risk index. Results. Age at the time of LT showed a nonlinear association with both graft and patient survival. Each demographic, clinical, transplant-related, and donor-related factor influenced these relationships differently. Conclusions. Our results suggest that some older LT candidates may be better than some younger candidates and that clinicians should not exclusively use age to determine who receives LT.