5-HTP inhibits eosinophilia via intracellular endothelial 5-HTRs; SNPs in 5-HTRs associate with asthmatic lung function.

Background: Previous research showed that 5-hydroxytryptophan (5HTP), a metabolic precursor of serotonin, reduces allergic lung inflammation by inhibiting eosinophil migration across endothelial monolayers. Objective: It is unknown if serotonin receptors are involved in mediating this 5HTP function or if serotonin receptor (HTR) single nucleotide polymorphisms (SNPs) associate with lung function in humans. Methods: Serotonin receptor subtypes were assessed by qPCR, western blot, confocal microscopy, pharmacological inhibitors and siRNA knockdown. HTR SNPs were assessed in two cohorts. Results: Pharmacological inhibition or siRNA knockdown of the serotonin receptors HTR1A or HTR1B in endothelial cells abrogated the inhibitory effects of 5HTP on eosinophil transendothelial migration. In contrast, eosinophil transendothelial migration was not inhibited by siRNA knockdown of HTR1A or HTR1B in eosinophils. Surprisingly, these HTRs were intracellular in endothelial cells and an extracellular supplementation with serotonin did not inhibit eosinophil transendothelial migration. This is consistent with the inability of serotonin to cross membranes, the lack of selective serotonin reuptake receptors on endothelial cells, and the studies showing minimal impact of selective serotonin reuptake inhibitors on asthma. To extend our HTR studies to humans with asthma, we examined the CHIRAH and GALA cohorts for HTR SNPs that affect HTR function or are associated with behavior disorders. A polygenic index of SNPs in HTRs was associated with lower lung function in asthmatics. Conclusions: Serotonin receptors mediate 5HTP inhibition of transendothelial migration and HTR SNPs associate with lower lung function. These results may serve to aid in design of novel interventions for allergic inflammation.

Student experiences with an interprofessional hope-based healthy aging research project.

Interprofessional education (IPE) and research enhances learning, team-based communication, and cross-disciplinary collaborations, which can result in higher quality care for older adults. Despite the importance of IPE, it remains underutilized in higher education, demonstrating the need for extracurricular IPE opportunities. This study describes an interprofessional research project that brought together faculty, undergraduate, and graduate students from several health and social science disciplines to design and deliver a 15-week healthy aging program for older adults living in the urban Circumpolar North. Five faculty and one graduate research assistant led the project while eight students team-taught weekly, 1-hour sessions in the community focusing on healthy lifestyles within a framework of Persuasive Hope Theory. This paper describes the project, the student training procedures, and reports the results of the student satisfaction survey regarding their involvement with the research. Using a student self-assessment survey, students report gains in thinking like a scientist, increased confidence conducting research tasks, benefits from teamwork, and greater consideration of the needs of older adults in their field of study. Despite a small sample size, this study also suggests that students may be more likely to consider a career working with older adults if given hands-on experiences.

Neuropathological findings and in vivo imaging correlates of the red nucleus compared to those of the substantia nigra pars compacta in parkinsonisms.

INTRODUCTION: The substantia nigra pars compacta (SNc) is the key pathologic locus in neurodegenerative parkinsonian disorders. Recently, in vivo susceptibility MRI metrics were associated with postmortem glial cell density and tau burden in the SNc of parkinsonism subjects. This study investigated the red nucleus (RN), another iron-rich region adjacent to the SNc and a potential site of higher functionality in parkinsonisms. METHODS: In vivo MRI and postmortem data were obtained from 34 parkinsonism subjects and 3 controls. Neuron density, glial cell density, and percentages of area occupied by α-synuclein and tau were quantified using digitized midbrain slides. R2* and quantitative susceptibility mapping (QSM) metrics in the RN and SNc were derived from multi-gradient echo images. Histopathology data were compared between the RN and SNc using paired t-tests. MRI-histology associations were analyzed using partial Pearson correlations. RESULTS: The RN had greater neuron (t23 = 3.169, P = 0.004) and glial cell densities (t23 = 2.407, P = 0.025) than the SNc, whereas the SNc had greater α-synuclein (t28 = 4.614, P < 0.0001) and tau burden (t24 = 4.513, P = 0.0001). In both the RN (R2*: r = 0.47, P = 0.043; QSM: r = 0.52, P = 0.024) and SNc (R2*: r = 0.57, P = 0.01; QSM: r = 0.58, P = 0.009), MRI values were associated with glial cell density but not neuron density or α-synuclein (Ps > 0.092). QSM associated with tau burden (r = 0.49, P = 0.038) in the SNc, but not the RN. CONCLUSIONS: The RN is resilient to parkinsonian-related pathological processes compared to the SNc, and susceptibility MRI captured glial cell density in both regions. These findings help to further our understanding of the underlying pathophysiological processes in parkinsonisms.

A machine learning contest enhances automated freezing of gait detection and reveals time-of-day effects.

Freezing of gait (FOG) is a debilitating problem that markedly impairs the mobility and independence of 38-65% of people with Parkinson's disease. During a FOG episode, patients report that their feet are suddenly and inexplicably "glued" to the floor. The lack of a widely applicable, objective FOG detection method obstructs research and treatment. To address this problem, we organized a 3-month machine-learning contest, inviting experts from around the world to develop wearable sensor-based FOG detection algorithms. 1,379 teams from 83 countries submitted 24,862 solutions. The winning solutions demonstrated high accuracy, high specificity, and good precision in FOG detection, with strong correlations to gold-standard references. When applied to continuous 24/7 data, the solutions revealed previously unobserved patterns in daily living FOG occurrences. This successful endeavor underscores the potential of machine learning contests to rapidly engage AI experts in addressing critical medical challenges and provides a promising means for objective FOG quantification.

Wearable Technologies for Detecting Burnout and Well-Being in Health Care Professionals: Scoping Review.

BACKGROUND: The occupational burnout epidemic is a growing issue, and in the United States, up to 60% of medical students, residents, physicians, and registered nurses experience symptoms. Wearable technologies may provide an opportunity to predict the onset of burnout and other forms of distress using physiological markers. OBJECTIVE: This study aims to identify physiological biomarkers of burnout, and establish what gaps are currently present in the use of wearable technologies for burnout prediction among health care professionals (HCPs). METHODS: A comprehensive search of several databases was performed on June 7, 2022. No date limits were set for the search. The databases were Ovid: MEDLINE(R), Embase, Healthstar, APA PsycInfo, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, Web of Science Core Collection via Clarivate Analytics, Scopus via Elsevier, EBSCOhost: Academic Search Premier, CINAHL with Full Text, and Business Source Premier. Studies observing anxiety, burnout, stress, and depression using a wearable device worn by an HCP were included, with HCP defined as medical students, residents, physicians, and nurses. Bias was assessed using the Newcastle Ottawa Quality Assessment Form for Cohort Studies. RESULTS: The initial search yielded 505 papers, from which 10 (1.95%) studies were included in this review. The majority (n=9) used wrist-worn biosensors and described observational cohort studies (n=8), with a low risk of bias. While no physiological measures were reliably associated with burnout or anxiety, step count and time in bed were associated with depressive symptoms, and heart rate and heart rate variability were associated with acute stress. Studies were limited with long-term observations (eg, ≥12 months) and large sample sizes, with limited integration of wearable data with system-level information (eg, acuity) to predict burnout. Reporting standards were also insufficient, particularly in device adherence and sampling frequency used for physiological measurements. CONCLUSIONS: With wearables offering promise for digital health assessments of human functioning, it is possible to see wearables as a frontier for predicting burnout. Future digital health studies exploring the utility of wearable technologies for burnout prediction should address the limitations of data standardization and strategies to improve adherence and inclusivity in study participation.

Single cell RNA sequencing of human eosinophils from nasal polyps reveals eosinophil heterogeneity in chronic rhinosinusitis tissue.

BACKGROUND: Chronic rhinosinusitis with nasal polyps (CRSwNP) is characterized by type 2 inflammation in the United States, but the actual roles that eosinophils play in CRSwNP remain largely unclear. OBJECTIVE: To reveal the roles and heterogeneity of eosinophils in nasal polyp (NP) tissue, we performed single cell RNA sequencing (scRNA-Seq) analysis of NP tissue. METHODS: Sinonasal tissues (NP and control sinus tissue) and patient matched peripheral blood (PB) samples were obtained from 5 control patients and 5 patients with CRSwNP. Eosinophils were enriched before processing for scRNA-Seq. The gene expression profiles in eosinophils were determined by microwell-based scRNA-Seq technology (BD Rhapsody platform). We predicted the overall function of NP eosinophils by Gene Ontology (geneontology.org) enrichment and pathway analyses and confirmed expression of selected genes by flow cytometry. RESULTS: After filtering out contaminating cells, we detected 5,542 eosinophils from control PB, 3,883 eosinophils from CRSwNP PB, 101 eosinophils from control sinus tissues (not included in further analyses), and 9,727 eosinophils from NPs by scRNA-Seq. We found that 204 genes were downregulated and 354 genes upregulated in NP eosinophils compared to all PB eosinophils (>1.5-fold, Padj < .05). Upregulated genes in NP eosinophils were associated with activation, cytokine-mediated signaling, growth factor activity, NF-κB signaling, and antiapoptotic molecules. NP eosinophils displayed 4 clusters revealing potential heterogeneity of eosinophils in NP tissue. CONCLUSIONS: Elevated eosinophils in NP tissue appear to exist in several subtypes that may play important pathogenic roles in CRSwNP, in part by controlling inflammation and hyperproliferation of other cells.

Enhancing Early Identification of Speech-Language-Hearing Delays Through Interprofessional Peer Teaching in a Communication Sciences and Disorders Graduate Training Program.

INTRODUCTION: In the current health care landscape, a paradigm shift toward team-based care is underway. Integrating interprofessional education experiences into graduate communication sciences and disorders (CSD) programs is essential to cultivate collaborative skills and prepare future professionals for the interprofessional demands of the field. Within this context, peer teaching has emerged as a noteworthy strategy to promote learning. This study aims to contribute to this evolving field by reporting the impact of an interprofessional (speech-language pathology and audiology) peer teaching educational intervention on physician assistant (PA) students' knowledge of speech-language-hearing developmental milestones and developmental screening. METHOD: A quantitative, descriptive methodology with a pretest, posttest interventional design was utilized to assess the impact of a CSD peer-led educational intervention on the knowledge of 35 PA students. The perceived satisfaction of the PA students with the peer-led educational experience was also evaluated. RESULTS: Data analysis revealed a significant increase on knowledge posttest scores compared to pretest scores. PA students also reported an overall positive peer learning experience. CONCLUSION: The collaboration between speech-language pathology, audiology, and PA students through peer teaching holds significant importance in the context of pediatric primary care, and for CSD graduate trainings programs interested in improving educational experiences that tailor to interprofessional learning and practice.

COVID-19 Prevention and Mitigation Decision-Making Processes While Navigating Chronic Disease Care: Perspectives of Black Adults with Heart Failure and Diabetes.

BACKGROUND: Heart failure and diabetes are comorbidities that disproportionately contribute to high morbidity and mortality among Blacks. Further compounding the racial and ethnic disparities in COVID-19 health outcomes, Blacks with cardiometabolic diseases are at high risk of experiencing serious complications or mortality from COVID-19. This study aimed to assess how Blacks with heart failure and diabetes navigated chronic care management during the COVID-19 pandemic. METHODS: A mixed methods study including in-depth interviews and surveys with adults diagnosed with heart failure and diabetes (n = 17) was conducted in 2021-2022. Verbatim transcripts were analyzed using a thematic analysis approach. RESULTS: Participants reported that while the pandemic initially caused delays in access to health services, shifts to telemedicine allowed for continued care despite preferences for in-person appointments. Various sources of information were used in different ways to make decisions on how to best reduce health risks due to COVID-19, but individuals and institutions affiliated with science and medicine, or who promoted information from these sources, were considered to be the most trusted sources of information among those who relied on outside guidance when making health-related decisions. Individuals' self-awareness of their own high-risk status and perceived control over their exposure levels to the virus informed what COVID-19 prevention and mitigation strategies people used. CONCLUSION: Information backed by scientific data was an important health communication tool that alongside other factors, such as fear of mortality due to COVID-19, encouraged individuals to get vaccinated and adopt other COVID-19 prevention and mitigation behaviors.

How the Environmental influences on Child Health Outcome (ECHO) Cohort can spur discoveries in environmental epidemiology.

NIH's Environmental influences on Child Health Outcome (ECHO) program is an innovative, large, collaborative research initiative whose mission is to enhance the health of children for generations to come. The goal of the ECHO Cohort is to examine effects of a broad array of early environmental exposures on child health and development. It includes longitudinal data and biospecimens from over 100,000 children and family members from diverse settings across the U.S. ECHO investigators have published collaborative analyses showing associations of environmental exposures--primarily in the developmentally sensitive pre-, peri-, and post-natal periods--with preterm birth and childhood asthma, obesity, neurodevelopment, and positive health. Investigators have addressed health disparities, joint effects of environmental and social determinants, and effects of mixtures of chemicals. The ECHO Cohort is now entering its second 7-year cycle (2023-2030), which will add the preconception period to its current focus on prenatal through adolescence. Through a controlled access public use database, ECHO makes its deidentified data available to the general scientific community. ECHO Cohort data provide opportunities to fill major knowledge gaps in in environmental epidemiology, and to inform policies, practices, and programs to enhance child health.

Fruit and vegetable intake, physical activity, and functional fitness among older adults in urban Alaska.

Older adults often face barriers to obtaining recommended diet, physical activity, and fitness levels. Understanding these patterns can inform effective interventions targeting health beliefs and behavior. This cross-sectional study included a multicultural sample of 58 older adults (aged 55+ years, M=71.98) living in independent senior housing in urban Southcentral Alaska. Participants completed a questionnaire and the Senior Fitness Test that assessed self-reported fruit and vegetable intake, physical activity, self-efficacy, and functional fitness. T-tests and bivariate correlation analyses were used to test six hypotheses. Results indicated that participants had low physical activity but had a mean fruit and vegetable intake that was statistically significantly higher than the hypothesized "low" score. Only 4.26% of participants met functional fitness standards for balance/agility, and 8.51% met standards for lower-body strength. However, 51.1% met standards for upper-body strength and 46.8% met standards for endurance The results also indicated that nutrition self-efficacy and exercise self-efficacy were positively related to fruit and vegetable intake and physical activity levels, respectively. Interestingly, income was not related to nutrition or activity patterns. These data complicate the picture on dietary and physical activity patterns for older adults in Alaska and offer recommendations for future health promotion activities.

Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm.

BACKGROUND AND OBJECTIVE: Glioblastoma (GBM) is one of the most aggressive and lethal human cancers. Intra-tumoral genetic heterogeneity poses a significant challenge for treatment. Biopsy is invasive, which motivates the development of non-invasive, MRI-based machine learning (ML) models to quantify intra-tumoral genetic heterogeneity for each patient. This capability holds great promise for enabling better therapeutic selection to improve patient outcome. METHODS: We proposed a novel Weakly Supervised Ordinal Support Vector Machine (WSO-SVM) to predict regional genetic alteration status within each GBM tumor using MRI. WSO-SVM was applied to a unique dataset of 318 image-localized biopsies with spatially matched multiparametric MRI from 74 GBM patients. The model was trained to predict the regional genetic alteration of three GBM driver genes (EGFR, PDGFRA and PTEN) based on features extracted from the corresponding region of five MRI contrast images. For comparison, a variety of existing ML algorithms were also applied. Classification accuracy of each gene were compared between the different algorithms. The SHapley Additive exPlanations (SHAP) method was further applied to compute contribution scores of different contrast images. Finally, the trained WSO-SVM was used to generate prediction maps within the tumoral area of each patient to help visualize the intra-tumoral genetic heterogeneity. RESULTS: WSO-SVM achieved 0.80 accuracy, 0.79 sensitivity, and 0.81 specificity for classifying EGFR; 0.71 accuracy, 0.70 sensitivity, and 0.72 specificity for classifying PDGFRA; 0.80 accuracy, 0.78 sensitivity, and 0.83 specificity for classifying PTEN; these results significantly outperformed the existing ML algorithms. Using SHAP, we found that the relative contributions of the five contrast images differ between genes, which are consistent with findings in the literature. The prediction maps revealed extensive intra-tumoral region-to-region heterogeneity within each individual tumor in terms of the alteration status of the three genes. CONCLUSIONS: This study demonstrated the feasibility of using MRI and WSO-SVM to enable non-invasive prediction of intra-tumoral regional genetic alteration for each GBM patient, which can inform future adaptive therapies for individualized oncology.

Hepatic insufficiency in two juvenile dogs with histoplasmosis.

A 9-month-old female intact toy poodle and a 1-year-old female intact Labrador retriever mix presented to separate teaching hospitals for chronic histories of malaise and clinicopathologic evidence of hepatic dysfunction. The signalment and clinical histories of these dogs prompted consideration of a congenital portosystemic shunt as a primary differential. However, microscopic evaluation of peritoneal effusion, pleural effusion, and peripheral blood samples from the dogs revealed round to ovoid yeast organisms morphologically most compatible with Histoplasma capsulatum. Additional testing confirmed histoplasmosis in each case. The poodle underwent a computed tomography (CT) study, which showed hepatomegaly with a spleno-gonadal shunt, pancreatic and gastric wall edema, and marked peritoneal effusion, findings compatible with portal hypertension and secondary acquired shunt formation. The dog was later humanely euthanized due to clinical deterioration, and on necropsy hepatic histoplasmosis was verified, with additional affected tissues comprising lungs and spleen. The Labrador Retriever mix responded clinically and clinicopathologically to antifungal therapy, though no abdominal imaging was performed to definitively exclude the possibility of a congenital portosystemic shunt. In retrospect, several features were more compatible with histoplasmosis than portosystemic shunt in these cases, including hyperbilirubinemia, effusion, and hepatomegaly. These findings serve as a reminder of the need to interpret serum biochemical findings in the context of the totality of the clinicopathologic data and imaging findings, as well as the diagnostic value of microscopy in the evaluation of hematologic and body cavity fluid samples.

The World's consumption of free web-based Otolaryngology-Head and Neck Surgery educational resources: A global assessment of video usage trends.

Objectives: Online educational platforms with open access have seen a growing adoption in the field of medical education. However, the extent of their global usage is still unclear. To fill this knowledge gap, our objective is to examine the usage patterns of two renowned open-access resources in Otolaryngology. This includes identifying the most sought-after topics and understanding the demographics of their users. Methods: Retrospective study of web analytics data between 2016 and 2021 extracted from the Headmirror.com and Mayo Clinic Otolaryngology YouTube channel platforms analyzing demographic and education topic trends via descriptive, geospatial, time-series, t-tests, and ANOVA analyses. Results: Viewership spanned 124 countries in 7 different geographic regions, with 72 countries comprising low- to middle-income countries, mostly represented ages of 25-34 years old, came from high-income countries rather than low-income (p < .001), and used mobile phones followed by computers for device access. Video-educational material comprised of subspecialty topics on Rhinology and Sinus Surgery (25%) at the highest end and Facial Trauma (1%) at the lowest. Controlling for the age of the video content, the most-accessed videos comprised of subspecialty topics on Head and Neck Surgery at the highest end and Laryngology at the lowest with significant differentiation across topics of interest (p < .044). Conclusions: This assessment of web-analytics platforms from two widely used otolaryngology free, online-access materials showed increasing global usage trends with significant differentiating factors along viewership demographics, as well as sought-after subspecialty topics of interest. In turn, our results not only lay the groundwork for characterizing the global otolaryngology audience but also for future development of targeted educational materials and accessibility initiatives aimed at ameliorating global educational disparities in the field.

Altered resting-state functional connectivity and dynamic network properties in cognitive impairment: an independent component and dominant-coactivation pattern analyses study.

Introduction: Cognitive impairment (CI) due to Alzheimer's disease (AD) encompasses a decline in cognitive abilities and can significantly impact an individual's quality of life. Early detection and intervention are crucial in managing CI, both in the preclinical and prodromal stages of AD prior to dementia. Methods: In this preliminary study, we investigated differences in resting-state functional connectivity and dynamic network properties between 23 individual with CI due to AD based on clinical assessment and 15 healthy controls (HC) using Independent Component Analysis (ICA) and Dominant-Coactivation Pattern (d-CAP) analysis. The cognitive status of the two groups was also compared, and correlations between cognitive scores and d-CAP switching probability were examined. Results: Results showed comparable numbers of d-CAPs in the Default Mode Network (DMN), Executive Control Network (ECN), and Frontoparietal Network (FPN) between HC and CI groups. However, the Visual Network (VN) exhibited fewer d-CAPs in the CI group, suggesting altered dynamic properties of this network for the CI group. Additionally, ICA revealed significant connectivity differences for all networks. Spatial maps and effect size analyses indicated increased coactivation and more synchronized activity within the DMN in HC compared to CI. Furthermore, reduced switching probabilities were observed for the CI group in DMN, VN, and FPN networks, indicating less dynamic and flexible functional interactions. Discussion: The findings highlight altered connectivity patterns within the DMN, VN, ECN, and FPN, suggesting the involvement of multiple functional networks in CI. Understanding these brain processes may contribute to developing targeted diagnostic and therapeutic strategies for CI due to AD.

Assessing the Occurrence and Influence of Cancer Chemotherapy-Related Pharmacogenetic Alleles in the Chilean Population.

BACKGROUND: Pharmacogenomic knowledge as a biomarker for cancer care has transformed clinical practice, however, as current guidelines are primarily derived from Eurocentric populations, this limits their application in Latin America, particularly among Hispanic or Latino groups. Despite advancements, systemic chemotherapy still poses challenges in drug toxicity and suboptimal response. This study explores pharmacogenetic markers related to anticancer drugs in a Chilean cohort, filling a gap in Latin American research. Notably, the influence of native South American Mapuche-Huilliche ancestry. METHODS: To explore pharmacogenetic markers related to anticancer drugs, we utilized an ethnically Admixed Chilean genome-wide association studies (GWAS) dataset of 1095 unrelated individuals. Pharmacogenomic markers were selected from PharmGKB, totaling 36 level 1 and 2 evidence single nucleotide polymorphisms (SNPs) and 571 level 3 SNPs. Comparative analyses involved assessing SNP frequencies across diverse populations from the 1000 Genomes Project. Haplotypes were estimated, and linkage disequilibrium was examined. Ancestry-based association analyses explored relationships between SNPs and Mapuche-Huilliche and European ancestries. Chi-square distribution with p ≤ 0.05 and Bonferroni's multiple adjustment tests determined statistical differences between allele frequencies. RESULTS: Our study reveals significant disparities in SNP frequency within the Chilean population. Notably, dihydropyrimidine dehydrogenase (DPYD) variants (rs75017182 and rs67376798), linked to an increased risk of severe fluoropyrimidine toxicity, exhibit an exceptionally low frequency (minor allele frequency (MAF) < 0.005). Nudix hydrolase 15 (NUDT15) rs116855232, associated with hematological mercaptopurine toxicity, is relatively common (MAF = 0.062), and is further linked to Mapuche-Huilliche ancestry. Thiopurine methyltransferase enzyme (TPMT), implicated in severe toxicity to mercaptopurines, SNPs rs1142345 and rs1800460 of TMPT gene demonstrate higher MAFs in Admixed Americans and the Chilean population (MAF range 0.031-0.057). Finally, the variant in the UDP-glucuronosyltransferase 1 gene (UGT1A1) rs4148323, correlated with irinotecan neutropenia, exhibits the highest MAF in East Asian (MAF = 0.136) and Chilean (MAF = 0.025) populations, distinguishing them from other investigated populations. CONCLUSIONS: This study provides the first comprehensive pharmacogenetic characterization of cancer therapy-related SNPs and highlights significant disparities in SNP frequencies within the Chilean population. Our findings underscore the necessity for inclusive research and personalized therapeutic strategies to ensure the equitable and effective application of precision medicine across diverse global communities.

Sleep macro-architecture in patients with Parkinson's disease does not change during the first night of neurostimulation in a pilot study.

STUDY OBJECTIVES: A growing body of literature suggests that deep brain stimulation (DBS) to treat motor symptoms of Parkinson's disease (PD) may also ameliorate certain sleep deficits. Many foundational studies have examined the impact of stimulation on sleep following several months of therapy, leaving an open question regarding the time course for improvement. It is unknown whether sleep improvement will immediately follow onset of therapy or accrete over a prolonged period of stimulation. The objective of our study was to address this knowledge gap by assessing the impact of DBS on sleep macro-architecture during the first nights of stimulation. METHODS: Polysomnograms were recorded for three consecutive nights in 14 patients with advanced PD (10 male, 4 female; age: 53-74 years), with intermittent, unilateral subthalamic nucleus DBS on the final night or two. Sleep scoring was determined manually by a consensus of four experts. Sleep macro-architecture was objectively quantified using the percentage, latency, and mean bout length of wake after sleep onset (WASO) and on each stage of sleep (REM and NREM stages N1, N2, N3). RESULTS: Sleep was found to be highly disrupted in all nights. Sleep architecture on nights without stimulation was consistent with prior results in treatment naive patients with PD. No statistically significant difference was observed due to stimulation. CONCLUSIONS: These objective measures suggest that one night of intermittent subthreshold stimulation appears insufficient to impact sleep macro-architecture. CLINICAL TRIAL REGISTRATION: Name: Adaptive Neurostimulation to Restore Sleep in Parkinson's Disease; URL: https://clinicaltrials.gov/ct2/show/NCT04620551; Identifier: NCT04620551.

Emotional distress and future healthcare utilization in oncology populations: A systematic review.

OBJECTIVE: Emotional distress has been correlated with greater healthcare utilization and economic costs in cancer; however, the prospective relationship between positive distress screens and future healthcare utilization is less clear. Taken together, there is a critical need to synthesize studies examining the prospective relationship between emotional distress and future healthcare use to inform distress management protocols and motivate institutional resource allocation to distress management. The aim of the systematic review is to explore the relationship between emotional distress, measured via validated emotional distress questionnaires, and subsequent healthcare utilization in patients diagnosed with cancer. METHODS: A systematic search of seven databases was conducted on 29 March 2022 and updated 3 August 2023. Eligibility criteria were: (1) peer-reviewed, (2) quantitative or mixed methods, (3) adults (≥18 years) diagnosed with cancer, (4) cancer distress questionnaire(s) completed prior to healthcare utilization, and (5) written in English. Exclusion criteria included: (1) non-emotional aspects of distress (i.e., spiritual or physical distress), (2) healthcare utilization characterized via economic or monetary variables, and (3) caregiver or non-cancer populations. RESULTS: Nineteen peer-reviewed articles were included in the review. There was significant heterogeneity in emotional distress instruments and type of healthcare utilization used. Most studies examining general distress or anxiety found that increased distress was predictive of greater future healthcare utilization. CONCLUSION: The results suggest that individuals with higher levels of general distress and anxiety are at increased risk for future healthcare utilization.

Comparative effectiveness research trial for antidepressant incomplete and non-responders with treatment resistant depression (ASCERTAIN-TRD) a randomized clinical trial.

Further research is needed to help improve both the standard of care and the outcome for patients with treatment-resistant depression. A particularly critical evidence gap exists with respect to whether pharmacological or non-pharmacological augmentation is superior to antidepressant switch, or vice-versa. The objective of this study was to compare the effectiveness of augmentation with aripiprazole or repetitive transcranial magnetic stimulation versus switching to the antidepressant venlafaxine XR (or duloxetine for those not eligible to receive venlafaxine) for treatment-resistant depression. In this multi-site, 8-week, randomized, open-label study, 278 subjects (196 females and 82 males, mean age 45.6 years (SD 15.3)) with treatment-resistant depression were assigned in a 1:1:1 fashion to treatment with either of these three interventions; 235 subjects completed the study. 260 randomized subjects with at least one post-baseline Montgomery-Asberg Depression Rating (MADRS) assessment were included in the analysis. Repetitive transcranial magnetic stimulation (score change (standard error (se)) = -17.39 (1.3) (p = 0.015) but not aripiprazole augmentation (score change (se) = -14.9 (1.1) (p = 0.069) was superior to switch (score change (se) = -13.22 (1.1)) on the MADRS. Aripiprazole (mean change (se) = -37.79 (2.9) (p = 0.003) but not repetitive transcranial magnetic stimulation augmentation (mean change (se) = -42.96 (3.6) (p = 0.031) was superior to switch (mean change (se) = -34.45 (3.0)) on the symptoms of depression questionnaire. Repetitive transcranial magnetic stimulation augmentation was shown to be more effective than switching antidepressants in treatment-resistant depression on the study primary measure. In light of these findings, clinicians should consider repetitive transcranial magnetic stimulation augmentation early-on for treatment-resistant depression.Trial registration: ClinicalTrials.gov, NCT02977299.