Utility of cerebrovascular imaging biomarkers to detect cerebral amyloidosis.

INTRODUCTION: The relationship between cerebrovascular disease (CVD) and amyloid beta (Aß) in Alzheimer's disease (AD) is understudied. We hypothesized that magnetic resonance imaging (MRI)-based CVD biomarkers-including cerebral microbleeds (CMBs), lacunar infarction, and white matter hyperintensities (WMHs)-would correlate with Aß positivity on positron emission tomography (Aß-PET). METHODS: We cross-sectionally analyzed data from the Alzheimer's Disease Neuroimaging Initiative (ADNI, N = 1352). Logistic regression was used to calculate odds ratios (ORs), with Aß-PET positivity as the standard-of-truth. RESULTS: Following adjustment, WMHs (OR = 1.25) and superficial CMBs (OR = 1.45) remained positively associated with Aß-PET positivity (p < 0.001). Deep CMBs and lacunes exhibited a varied relationship with Aß-PET in cognitive subgroups. The combined diagnostic model, which included CVD biomarkers and other accessible measures, significantly predicted Aß-PET (pseudo-R2 = 0.41). DISCUSSION: The study highlights the translational value of CVD biomarkers in diagnosing AD, and underscores the need for more research on their inclusion in diagnostic criteria. CLINICALTRIALS: gov: ADNI-2 (NCT01231971), ADNI-3 (NCT02854033). HIGHLIGHTS: Cerebrovascular biomarkers linked to amyloid beta (Aß) in Alzheimer's disease (AD). White matter hyperintensities and cerebral microbleeds reliably predict Aß-PET positivity. Relationships with Aß-PET vary by cognitive stage. Novel accessible model predicts Aß-PET status. Study supports multimodal diagnostic approaches.

Clinical application of plasma P-tau217 to assess eligibility for amyloid-lowering immunotherapy in memory clinic patients with early Alzheimer's disease.

BACKGROUND: With the approval of disease-modifying treatments (DMTs) for early Alzheimer's disease (AD), there is an increased need for efficient and non-invasive detection methods for cerebral amyloid-ß (Aß) pathology. Current methods, including positron emission tomography (PET) and cerebrospinal fluid (CSF) analysis, are costly and invasive methods that may limit access to new treatments. Plasma tau phosphorylated at threonine-217 (P-tau217) presents a promising alternative, yet optimal cutoffs for treatment eligibility with DMTs like aducanumab require further investigation. This study evaluates the efficacy of one- and two-cutoff strategies for determining DMT eligibility at the Butler Hospital Memory & Aging Program (MAP). METHODS: In this retrospective, cross-sectional diagnostic cohort study, we first developed P-tau217 cutoffs using site-specific and BioFINDER-2 training data, which were then tested in potential DMT candidates from Butler MAP (total n = 150). ROC analysis was used to calculate the area under the curve (AUC) and accuracy of P-tau217 interpretation strategies, using Aß-PET/CSF testing as the standard of truth. RESULTS: Potential DMT candidates at Butler MAP (n = 50), primarily diagnosed with mild cognitive impairment (n = 29 [58%]) or mild dementia (21 [42%]), were predominantly Aß-positive (38 [76%]), and half (25 [50%]) were subsequently treated with aducanumab. Elevated P-tau217 predicted cerebral Aß positivity in potential DMT candidates (AUC = 0.97 [0.92-1]), with diagnostic accuracy ranging from 0.88 (0.76-0.95, p = 0.028) to 0.96 (0.86-1, p < .001). When using site-specific cutoffs, a subset of DMT candidates (10%) exhibited borderline P-tau217 (between 0.273 and 0.399 pg/mL) that would have potentially required confirmatory testing. CONCLUSIONS: This study, which included participants treated with aducanumab, confirms the utility of one- and two-cutoff strategies for interpreting plasma P-tau217 in assessing DMT eligibility. Using P-tau217 could potentially replace more invasive diagnostic methods, and all aducanumab-treated participants would have been deemed eligible based on P-tau217. However, false positives remain a concern, particularly when applying externally derived cutoffs that exhibited lower specificity which could have led to inappropriate treatment of Aß-negative participants. Future research should focus on prospective validation of P-tau217 cutoffs to enhance their generalizability and inform standardized treatment decision-making across diverse populations.

Pandemic Paranoia Scale for Adolescents (PPS-A): An Initial Psychometric Evaluation and Prevalence Study of Adolescents in the United States and United Kingdom.

Paranoid thoughts have been reported in 20-30% of adolescents, and preliminary research has shown that paranoia and psychotic-like experiences have increased during the COVID-19 pandemic. However, previous research has typically used general measures to assess paranoia, rather than those specific to COVID-19, which may overlook particular facets of paranoia related to the pandemic and result in an under-reporting of paranoia prevalence rates during this time. Therefore, this study aimed to examine the psychometric properties of the Pandemic Paranoia Scale for Adolescents (PPS-A), which was adapted from the original scale to be appropriate for younger respondents, and to assess the prevalence of pandemic paranoia among adolescents. Adolescents (N = 462) recruited on Qualtrics from the United States (US) and United Kingdom (UK) completed an online survey consisting of the PPS-A and measures of general paranoia and negative affect. A subset of adolescent's parents (N = 146) also completed an online survey providing dyadic data. Findings showed that the PPS-A shared the same three factor structure as the adult PPS (i.e., persecutory threat, paranoid conspiracy, and interpersonal mistrust) and across participant nationality, race, gender, and mental health diagnosis. It also demonstrated strong psychometric properties. The overall prevalence rate of pandemic-related paranoia among adolescents was 21% and prevalence rates were higher among US participants than UK participants. This study provides the most comprehensive psychometric evaluation of a pandemic paranoia scale designed for adolescents and highlights the continued prevalence of pandemic paranoia in this age-group nearly two years after COVID-19 began.

Time to Dementia Diagnosis Among Veterans with Comorbid Insomnia and Depressive Episodes.

Background: Older adults with heart failure are at elevated risk of Alzheimer's disease and related dementias (AD/ADRD). Research suggests that insomnia and depressive episodes contribute somewhat dissociable impacts on risk for AD/ADRD in this patient population, although the temporal ordering of effects is unknown. Objective: This study examined time to dementia diagnosis among patients with comorbid insomnia and/or depressive episodes in an epidemiological sample. Methods: Secondary data analyses were conducted using a cohort study of 203,819 Veterans with a primary admission diagnosis of heart failure in 129 VA Medical Centers. Results: Patients with diagnoses of both insomnia and depressive episodes had the shortest time to a dementia diagnosis at both 1-year (Hazard ratio = 1.43, 95% CI [1.36, 1.51]) and 3-year follow-up time points (Hazard ratio = 1.40, 95% CI [1.34, 1.47]) versus patients with one or neither comorbidity. Conclusions: Individuals with both comorbidities had the shortest time to dementia onset. Screening for these comorbidities may help to identify patients at elevated risk of dementia who could benefit from enhanced monitoring or early intervention strategies for more rapid detection and management of dementia symptoms.

Clinical application of plasma P-tau217 to assess eligibility for amyloid-lowering immunotherapy in memory clinic patients with early Alzheimer's disease.

Background: With the approval of disease-modifying treatments (DMTs) for early Alzheimer's disease (AD), there is an increased need for efficient and non-invasive detection methods for cerebral amyloid-ß (Aß) pathology. Current methods, including positron emission tomography (PET) and cerebrospinal fluid (CSF) analysis, are costly and invasive methods that may limit access to new treatments. Plasma tau phosphorylated at threonine-217 (P-tau217) presents a promising alternative, yet optimal cutoffs for treatment eligibility with DMTs like aducanumab require further investigation. This study evaluates the efficacy of one- and two-cutoff strategies for determining DMT eligibility at the Butler Hospital Memory & Aging Program (MAP). Methods: In this retrospective, cross-sectional diagnostic cohort study, we first developed P-tau217 cutoffs using site-specific training data and BioFINDER-2, which were then tested in potential DMT candidates from Butler MAP (total n = 150). ROC analysis was used to calculate the area under the curve (AUC) and accuracy of P-tau217 interpretation strategies, using Aß-PET/CSF testing as the standard of truth. Results: Potential DMT candidates at Butler MAP (n = 50), primarily diagnosed with mild cognitive impairment (n = 29 [58%]) or mild dementia (21 [42%]), were predominantly Aß-positive (38 [76%]), and half (25 [50%]) were subsequently treated with aducanumab. Elevated P-tau217 predicted cerebral Aß positivity in potential DMT candidates (AUC = 0.97 [0.92-1]), with diagnostic accuracy ranging from 0.88 (0.76-0.95, p = 0.028) to 0.96 (0.86-1, p < .001). When using site-specific cutoffs, a subset of DMT candidates (10%) exhibited borderline P-tau217 (between 0.273 and 0.399 pg/mL) that would have potentially required from confirmatory testing. Conclusions: This study, which included participants treated with aducanumab, confirms the utility of one- and two-cutoff strategies for interpreting plasma P-tau217 in assessing DMT eligibility. Using P-tau217 could potentially replace more invasive diagnostic methods, and all aducanumab-treated participants would have been deemed eligible based on P-tau217. However, false positives remain a concern, particularly when applying externally derived cutoffs that exhibited lower specificity which could have led to inappropriate treatment of Aß-negative participants. Future research should focus on prospective validation of P-tau217 cutoffs to enhance their generalizability and inform standardized treatment decision-making across diverse populations.

Utility of cerebrovascular imaging biomarkers to detect cerebral amyloidosis.

INTRODUCTION: The relationship between cerebrovascular disease (CVD) and amyloid-ß (Aß) in Alzheimer disease (AD) is understudied. We hypothesized that magnetic resonance imaging (MRI)-based CVD biomarkers, including cerebral microbleeds (CMBs), ischemic infarction, and white matter hyperintensities (WMH), would correlate with Aß positivity on positron emission tomography (Aß-PET). METHODS: We cross-sectionally analyzed data from the Alzheimer's Disease Neuroimaging Initiative (ADNI, N=1,352). Logistic regression was used to calculate odds ratios (ORs), with Aß-PET positivity as the standard-of-truth. RESULTS: Following adjustment, WMH (OR=1.25) and superficial CMBs (OR=1.45) remained positively associated with Aß-PET positivity (p<.001). Deep CMBs and infarcts exhibited a varied relationship with Aß-PET in cognitive subgroups. The combined diagnostic model, which included CVD biomarkers and other accessible measures, significantly predicted Aß-PET (pseudo-R 2 =.41). DISCUSSION: The study highlights the translational value of CVD biomarkers in diagnosing AD, and underscores the need for more research on their inclusion in diagnostic criteria. ClinicalTrials.gov: ADNI-2 ( NCT01231971 ), ADNI-3 ( NCT02854033 ).

A Hybrid Type 1 trial of a multi-component mHealth intervention to improve post-hospital transitions of care for patients with serious mental illness: Study protocol.

BACKGROUND: The transition from acute (e.g., psychiatric hospitalization) to outpatient care is associated with increased risk for rehospitalization, treatment disengagement, and suicide among people with serious mental illness (SMI). Mobile interventions (i.e., mHealth) have the potential to increase monitoring and improve coping post-acute care for this population. This protocol paper describes a Hybrid Type 1 effectiveness-implementation study, in which a randomized controlled trial will be conducted to determine the effectiveness of a multi-component mHealth intervention (tFOCUS) for improving outcomes for adults with SMI transitioning from acute to outpatient care. METHODS: Adults meeting criteria for schizophrenia-spectrum or major mood disorders (n = 180) will be recruited from a psychiatric hospital and randomized to treatment-as-usual (TAU) plus standard discharge planning and aftercare (CHECK-IN) or TAU plus tFOCUS. tFOCUS is a 12-week intervention, consisting of: (a) a patient-facing mHealth smartphone app with daily self-assessment prompts and targeted coping strategies; (b) a clinician-facing web dashboard; and, (c) mHealth aftercare advisors, who will conduct brief post-hospital clinical calls with patients (e.g., safety concerns, treatment engagement) and encourage app use. Follow-ups will be conducted at 6-, 12-, and 24-weeks post-discharge to assess primary and secondary outcomes, as well as target mechanisms. We also will assess barriers and facilitators to future implementation of tFOCUS via qualitative interviews of stakeholders and input from a Community Advisory Board throughout the project. CONCLUSIONS: Information gathered during this project, in combination with successful study outcomes, will inform a potential tFOCUS intervention scale-up across a range of psychiatric hospitals and healthcare systems. CLINICALTRIALS: govregistration: NCT05703412.

Lower odds of successful community discharge after medical hospitalization for Veterans with schizophrenia: A retrospective cohort study of national data.

Medical comorbidity, particularly cardiovascular diseases, contributes to high rates of hospital admission and early mortality in people with schizophrenia. The 30 days following hospital discharge represents a critical period for mitigating adverse outcomes. This study examined the odds of successful community discharge among Veterans with schizophrenia compared to those with major affective disorders and those without serious mental illness (SMI) after a heart failure hospital admission. Data for Veterans hospitalized for heart failure were obtained from the Veterans Health Administration (VHA) and Centers for Medicare & Medicaid Services between 2011 and 2019. Psychiatric diagnoses and medical comorbidities were assessed in the year prior to hospitalization. Successful community discharge was defined as remaining in the community without hospital readmission, death, or hospice for 30 days after hospital discharge. Logistic regression analyses adjusting for relevant factors were used to examine whether individuals with a schizophrenia diagnosis showed lower odds of successful community discharge versus both comparison groups. Out of 309,750 total Veterans in the sample, 7377 (2.4%) had schizophrenia or schizoaffective disorder and 32,472 (10.5%) had major affective disorders (bipolar disorder or recurrent major depressive disorder). Results from adjusted logistic regression analyses demonstrated significantly lower odds of successful community discharge for Veterans with schizophrenia compared to the non-SMI (Odds Ratio [OR]: 0.63; 95% Confidence Interval [CI]: 0.60, 0.66) and major affective disorders (OR: 0.65, 95%; CI: 0.62, 0.69) groups. Intervention efforts should target the transition from hospital to home in the subgroup of Veterans with schizophrenia.

Serious mental illness is associated with elevated risk of hospital readmission in veterans with heart failure.

OBJECTIVE: Adults with serious mental illness (SMI) have high rates of cardiovascular disease, particularly heart failure, which contribute to premature mortality. The aims were to examine 90- and 365-day all-cause medical or surgical hospital readmission in Veterans with SMI discharged from a heart failure hospitalization. The exploratory aim was to evaluate 180-day post-discharge engagement in cardiac rehabilitation, an effective intervention for heart failure. METHODS: This study used administrative data from the Veterans Health Administration (VHA) and Centers for Medicare & Medicaid Services between 2011 and 2019. SMI status and medical comorbidity were assessed in the year prior to hospitalization. Cox proportional hazards models (competing risk of death) were used to evaluate the relationship between SMI status and outcomes. Models were adjusted for VHA hospital site, demographics, and medical characteristics. RESULTS: The sample comprised 189,767 Veterans of which 23,671 (12.5%) had SMI. Compared to those without SMI, Veterans with SMI had significantly higher readmission rates at 90 (16.1% vs. 13.9%) and 365 (42.6% vs. 37.1%) days. After adjustment, risk of readmission remained significant (90 days: HR: 1.07, 95% CI: 1.03, 1.11; 365 days: HR: 1.10, 95% CI: 1.07, 1.12). SMI status was not significantly associated with 180-day cardiac rehabilitation engagement (HR: 0.98, 95% CI: 0.91, 1.07). CONCLUSIONS: Veterans with SMI and heart failure have higher 90- and 365-day hospital readmission rates even after adjustment. There were no differences in cardiac rehabilitation engagement based on SMI status. Future work should consider a broader range of post-discharge interventions to understand contributors to readmission.

Burden and Depression among Empirically-Derived Subgroups of Family Caregivers for Individuals With Dementia.

Dementia caregiving experiences are not universal and different factors may influence the risk for burden and depression. This study examined factors such as the relationship with the care recipient, severity of dementia, and relationship satisfaction to uncover different types of caregiver burden profiles using baseline assessment for a telephone-based intervention study for dementia caregivers. Participants (n = 233) completed a battery of psychological and caregiving related surveys. The sample was predominantly White and female. Latent class analysis suggested four class models in subsamples of spousal caregivers and adult children caregivers. The results suggested four distinct classes among samples of spousal and adult child caregivers. Differences in burden emerged across both spouses and adult children, and differences in depression also emerged in the spousal sample. Our findings demonstrate the diversity of the caregiving experience and suggest that future psychosocial interventions may benefit from being tailored to the needs of caregiver subgroups.

Longitudinal risk of suicide outcomes in people with severe mental illness following an emergency department visit and the effects of suicide prevention treatment.

BACKGROUND: Individuals with severe mental illness (SMI), including bipolar disorder (BD) and schizophrenia-spectrum disorders (SSD), are at high risk for suicide. However, suicide research often excludes individuals with SMI. The current research examined differences in suicide outcomes (i.e., suicide attempt or death) for adults with and without BD and SSD diagnoses following an emergency department (ED) visit and investigated the efficacy of the Coping Long Term with Active Suicide Program (CLASP) intervention in reducing suicide outcomes among people with SMI. METHODS: 1235 adults presenting with recent suicidality were recruited from 8 different EDs across the United States. Using a quasi-experimental, stepped wedge series design, participants were followed for 52-weeks with or without subsequent provision of CLASP. RESULTS: Participants in the SSD group and the BD group had significantly shorter time to and higher rate of suicide outcomes than participants with other psychiatric diagnoses in all study phases and in non-CLASP phases, respectively. Participants with BD receiving the CLASP intervention had significantly longer time to suicide outcomes than those not receiving CLASP; these differences were not observed among those with SSD. LIMITATIONS: Study limitations include self-reported psychiatric diagnosis, exclusion of homeless participants, and small sample size of participants with SSD. CONCLUSIONS: Participants with SMI were at higher risk for suicide outcomes than participants with other psychiatric diagnoses. CLASP was efficacious among those participants with BD. Psychiatric diagnosis may be a key indicator of prospective suicide risk. More intensive and specialized follow-up mental health treatment may be necessary for those with SSD.

Circulating Cell-Free Mitochondrial DNA and Depressive Symptoms Among Low-Active Adults Who Smoke.

OBJECTIVES: Mitochondrial dysfunction is implicated in the pathophysiology of psychiatric disorders. Levels of circulating cell-free mitochondrial DNA (cf-mtDNA) are observed to be altered in depression. However, the few studies that have measured cf-mtDNA in depression have reported conflicting findings. This study examined cf-mtDNA and depressive symptoms in low-active adults who smoke. METHODS: Participants were adults 18 to 65 years old ( N = 109; 76% female) with low baseline physical activity and depressive symptoms recruited for a smoking cessation study. Self-report measures assessed depression severity, positive and negative affect, and behavioral activation. Blood was collected and analyzed for cf-mtDNA. Relationships between depressive symptoms and cf-mtDNA were examined with correlations and linear regression. RESULTS: Levels of cf-mtDNA were associated with categorically defined depression (Center for Epidemiologic Studies Depression Scale score >15), lower positive affect, and decreased behavioral activation ( p < .05). Relationships remained significant after adjustment for age, sex, and nicotine dependence. In a linear regression model including all depressive symptom measures as predictors, Center for Epidemiologic Studies Depression Scale group and lower positive affect remained significant. CONCLUSIONS: This work suggests that mitochondrial changes are associated with depressive symptoms in low-active adults who smoke. Higher levels of cf-mtDNA in association with depression and with lower positive affect and decreased behavioral activation are consistent with a possible role for mitochondrial function in depressive symptoms.

Remote and in-clinic digital cognitive screening tools outperform the MoCA to distinguish cerebral amyloid status among cognitively healthy older adults.

INTRODUCTION: We evaluated the accuracy of remote and in-person digital tests to distinguish between older adults with and without AD pathological change and used the Montreal Cognitive Assessment (MoCA) as a comparison test. METHODS: Participants were 69 cognitively normal older adults with known beta-amyloid (Aß) PET status. Participants completed smartphone-based assessments 3×/day for 8 days, followed by TabCAT tasks, DCTclock™, and MoCA at an in-person study visit. We calculated the area under the curve (AUC) to compare task accuracies to distinguish Aß status. RESULTS: Average performance on the episodic memory (Prices) smartphone task showed the highest accuracy (AUC = 0.77) to distinguish Aß status. On in-person measures, accuracy to distinguish Aß status was greatest for the TabCAT Favorites task (AUC = 0.76), relative to the DCTclockTM (AUC = 0.73) and MoCA (AUC = 0.74). DISCUSSION: Although further validation is needed, our results suggest that several digital assessments may be suitable for more widespread cognitive screening application.

Randomized Controlled Trial of Aerobic Exercise for Smoking Cessation among Individuals with Elevated Depressive Symptoms.

INTRODUCTION: Adults with depression have higher rates of cigarette smoking and are more likely to relapse than those without depression. Pharmacological, psychological, and combined interventions have largely yielded small improvements in smoking outcomes for adults with depression. Aerobic exercise (AE) may facilitate smoking cessation in this subpopulation. METHODS: This study was a 12-week two-arm randomized controlled trial that evaluated the effect of a moderate-intensity AE program compared to a health education contact (HEC) control on smoking cessation in adults with elevated depressive symptoms (mild to severe). Participants (n=231) were randomized to AE or HEC and received smoking cessation treatment (telephone counseling and nicotine replacement therapy). Primary (biologically confirmed 7-day point prevalence abstinence) and secondary (depressive symptoms, objective and self-reported physical activity, and cardiorespiratory fitness) outcomes were assessed at baseline, 3-, 6-, and 12-months. Data were analyzed with mixed-effects generalized linear models controlling for age, gender, nicotine dependence, history of major depression disorder, and month of follow-up assessment. RESULTS: There were no significant differences in primary or secondary outcomes between the AE and HEC groups. CONCLUSIONS: The AE program was not superior to HEC in facilitating smoking cessation, increases in physical activity, or improved depressive symptoms. Given evidence for the positive acute effects of exercise on mood and smoking urges, future research should consider testing alternative exercise approaches for aiding smoking cessation beyond structured, aerobic exercise programs. IMPLICATIONS: This study found that an adjunctive aerobic exercise (AE) program was not superior to a health education contact control for adults with elevated depressive symptoms, all of whom also received standard smoking cessation treatment. This finding adds to the growing body of literature that structured aerobic exercise programs for smoking cessation may have limited efficacy for cessation outcomes. Future research is needed to test alternative methods of integrating AE into smoking cessation treatment, such as strategically using exercise to manage cravings and low mood in the moment.

Comparing Lookback Periods to Ascertain Alzheimer's Disease and Related Dementias.

Claims data are a valuable resource for studying Alzheimer's disease and related dementias (ADRD). Alzheimer's disease and related dementias is often identified using a list of claims codes and a fixed lookback period of 3 years of data. However, a 1-year lookback or an approach using all-available lookback data could be beneficial based on different research questions. Thus, the purpose of this study was to compare 1-year and all-available lookback approaches to ascertaining ADRD compared to the standard 3-year approach. Using a cohort of Veterans hospitalized for heart failure (N = 373, 897), our results suggested high agreement (93% or greater) between the lookback periods. The 1-year lookback period had lower sensitivity (60%) and underestimated the prevalence of ADRD. These results suggest that 1-year and all-available lookback periods are viable approaches when using claims data.

Characterizing suicidal ideation, suicidal behaviors, and service utilization among unhoused individuals using a health information exchange.

INTRODUCTION: Unhoused individuals have high rates of suicidal ideation (SI) and suicidal behaviors (SB), but few have studied the relative timing of homelessness and SI/SB. Our study examines the potential to use state-wide electronic health record data from Rhode Island's health information exchange (HIE) to identify temporal relationships, service utilization, and associations of SI/SB among unhoused individuals. METHODS: We use timestamped HIE data for 5368 unhoused patients to analyze service utilization and the relative timing of homelessness versus SI/SB onset. Multivariable models identified associations of SI/SB, hospitalization, and repeat acute care utilization within 30 days from clinical features representing 10,000+ diagnoses captured within the HIE. RESULTS: The onset of SI typically precedes homelessness onset, while the onset of SB typically follows. Weekly rates of suicide-related service utilization increased over 25 times the baseline rate during the week before and after homelessness onset. Over 50% of encounters involving SI/SB result in hospitalization. Of those engaging in acute care for suicide-related reasons, we found high rates of repeat acute care encounters. CONCLUSION: HIEs are a particularly valuable resource for understudied populations. Our study demonstrates how longitudinal, multi-institutional data from an HIE can be used to characterize temporal associations, service utilization, and clinical associations of SI and behaviors among a vulnerable population at scale. Increasing access to services that address co-occurring SI/SB, mental health, and substance use is needed.

Incidence of New Dementia Diagnosis in Veterans Admitted to Nursing Homes After Heart Failure Hospitalization.

BACKGROUND: Hospitalization with heart failure (HF) may signal an increased risk of Alzheimer's disease and related dementias (ADRD). Nursing homes routinely assess cognition but the association of these results with new ADRD diagnosis in a population at high risk of ADRD is not known. OBJECTIVE: To determine the association between nursing home cognitive assessment results and new diagnosis of dementia after heart failure hospitalization. METHODS: This retrospective cohort study included Veterans hospitalized for HF and discharged to nursing homes, from 2010 to 2015, without a prior diagnosis of ADRD. We determined mild, moderate, or severe cognitive impairment using multiple items of the nursing home admission assessment. We used Cox regression to determine the association of cognitive impairment with new ADRD diagnosis during 365 days of follow-up. RESULTS: The cohort included 7,472 residents, new diagnosis of ADRD occurred in 4,182 (56%). The adjusted hazard ratio of ADRD diagnosis was 4.5 (95% CI 4.2, 4.8) for the mild impairment group, 5.4 (95% CI 4.8, 5.9) for moderate impairment, and 4.0 (95% CI 3.2, 5.0) for severe impairment compared to the cognitively intact group. CONCLUSION: New ADRD diagnoses occurred in more than half of Veterans with HF admitted to nursing homes for post-acute care.

Mental Health of Brazilian Immigrant Women: The Role of Discrimination, Social Support, and Community Strengths.

Little is known about the mental health status of Brazilians living in the U.S. We assessed the prevalence and correlates of depression to guide the development of culturally relevant community-based mental health interventions. An online survey was conducted between July and August 2020 among a sample of Brazilian women living in the U.S. (age 18 and over, born in Brazil, English or Portuguese speaking) recruited through Brazilian social media pages and community organizations. The survey assessed depression using the Center for Epidemiological Study Depression Scale (CES-D-10), the Everyday Discrimination Scale (EDS), the Oslo Social Support Scale (OSSS), and community strengths (CS). We first assessed the correlation between CES-D-10 scores and EDS, OSSS, and CS. We found that half of the participants (52.2%) had CES-D-10 scores of 10 or greater, indicating the presence of depressive symptomatology. In a multivariable model controlling for significant covariates (age, time lived in U.S.), EDS was positively associated with CES-D-10 scores (ß = 0.64, 95% CI = 0.45, 0.83), while OSSS was negatively associated with CES-D-10 scores (ß = -0.53, 95% C I= -0.80, -0.27). No statistically significant relationship was observed between CES-D-10 and CS scores. In this sample of Brazilian immigrant women, depressive symptomatology was highly prevalent, and experiences of discrimination were associated with increased symptoms of depression. There is a need to understand and address mental health in Brazilian immigrant women.