Prevalence of Comorbid Depression and Insomnia Among Veterans Hospitalized for Heart Failure with Alzheimer Disease and Related Disorders.

OBJECTIVE: To examine prevalence of Alzheimer Disease and related dementias (ADRD) and patient characteristics as a function of comorbid insomnia and/or depression among heart failure (HF) patients discharged from hospitals. DESIGN: Retrospective cohort descriptive epidemiology study. SETTING: VA Hospitals. PARTICIPANTS: N = 373,897 Veterans hospitalized with heart failure from October 1, 2011 until September 30, 2020. MEASUREMENTS: We examined VA and Center for Medicare & Medicaid Services (CMS) coding in the year prior to admission using published ICD-9/10 codes for dementia, insomnia, and depression. The primary outcome was the prevalence of ADRD and the secondary outcomes were 30-day and 365-day mortality. RESULTS: The cohort were predominantly older adults (mean age = 72 years, SD = 11), male (97%), and White (73%). Dementia prevalence in participants without insomnia or depression was 12%. In those with both insomnia and depression, dementia prevalence was 34%. For insomnia alone and depression alone, dementia prevalence was 21% and 24%, respectively. Mortality followed a similar pattern with highest 30-day and 365-day mortality higher in those with both insomnia and depression. CONCLUSIONS: These results suggest that persons with both insomnia and depression are at an increased risk of ADRD and mortality compared to persons with one or neither condition. Screening for both insomnia and depression, especially in patients with other ADRD risk factors, could lead to earlier identification of ADRD. Understanding comorbid conditions which may represent earlier signs of ADRD may be critical in the identification of ADRD risk.

The effect of age on fever response among nursing home residents with SARS-COV-2 infection.

Over 15,000 veterans in 135 VA nursing homes were systematically tested for SARS-CoV-2 and had daily temperatures assessed from March to August, 2020. Lower baseline temperatures, and in SARS-CoV-2+ , lower maximum temperatures were observed with advancing age. Clinicians should be aware of the potential diminished fever response in the elderly with SARS-CoV-2.

Development and validation of delirium prediction models for noncardiac surgery patients.

STUDY OBJECTIVE: Postoperative delirium is associated with morbidity and mortality, and its incidence varies widely. Using known predisposing and precipitating factors, we sought to develop postoperative delirium prediction models for noncardiac surgical patients. DESIGN: Retrospective prediction model study. SETTING: Major quaternary medical center. PATIENTS: Our January 2016 to June 2020 training dataset included 51,677 patients of whom 2795 patients had delirium. Our July 2020 to January 2022 validation dataset included 14,438 patients of whom 912 patients had delirium. INTERVENTIONS: None. MEASUREMENTS: We trained and validated two static prediction models and one dynamic delirium prediction model. For the static models, we used random survival forests and traditional Cox proportional hazard models to predict postoperative delirium from preoperative variables, or from a combination of preoperative and intraoperative variables. We also used landmark modeling to dynamically predict postoperative delirium using preoperative, intraoperative, and postoperative variables before onset of delirium. MAIN RESULTS: In the validation analyses, the static random forest model had a c-statistic of 0.81 (95% CI: 0.79, 0.82) and a Brier score of 0.04 with preoperative variables only, and a c-statistic of 0.86 (95% CI: 0.84, 0.87) and a Brier score of 0.04 when preoperative and intraoperative variables were combined. The corresponding Cox models had similar discrimination metrics with slightly better calibration. The dynamic model - using all available data, i.e., preoperative, intraoperative and postoperative data - had an overall c-index of 0.84 (95% CI: 0.83, 0.85). CONCLUSIONS: Using preoperative and intraoperative variables, simple static models performed as well as a dynamic delirium prediction model that also included postoperative variables. Baseline predisposing factors thus appear to contribute far more to delirium after noncardiac surgery than intraoperative or postoperative variables. Improved postoperative data capture may help improve delirium prediction and should be evaluated in future studies.

Wandering Behavior and SARS-CoV-2 Infection in Veterans Affairs Community Living Center Residents.

OBJECTIVE: Wandering behavior in nursing home (NH) residents could increase risk of infection. The objective of this study was to assess the association of wandering behavior with SARS-CoV-2 infection in Veterans Affairs (VA) Community Living Center (CLC) residents. DESIGN: Retrospective cohort study. SETTING & PARTICIPANTS: Veterans residing in 133 VA CLCs. METHODS: We included residents with SARS-CoV-2 test from March 1, 2020 to December 31, 2020 from VA electronic medical records. We identified CLC residents with wandering on Minimum Data Set 3.0 assessments and compared them with residents without wandering. The outcome was SARS-CoV-2 infection, as tested for surveillance testing, in those with and without wandering. Generalized linear model with Poisson link adjusted for relevant covariates was used. RESULTS: Residents (n = 9995) were included in the analytic cohort mean, (SD) age 73.4 (10.7); 388 (3.9%) women. The mean (SD) activities of daily living score in the overall cohort was 13.6 (8.25). Wandering was noted in 379 (3.8%) (n = 379) of the cohort. The exposure groups differed in prior dementia (92.6% vs 62.1%, standardized mean difference [SMD] = 0.8) and psychoses (41.4% vs 28.1%, SMD = 0.3). Overall, 12.5% (n = 1248) tested positive for SARS-CoV-2 and more residents among the wandering group were SARS-CoV-2 positive as compared with those in the group without wandering (19% [n = 72] vs 12.2% [n = 1176], SMD = 0.19). Adjusting for covariates, residents with wandering had 34% higher relative risk for SARS-CoV-2 infection (adjusted relative risk, 1.34; 95% CI, 1.04-1.69). CONCLUSIONS AND IMPLICATIONS: CLC residents with wandering had a higher risk of SARS-CoV-2 infection. This may inform implementation of infection control and isolation policies as NHs attempt to balance ethical concepts of resident autonomy, proportionality, equity, and utilitarianism.

Thiol-Functionalized Conjugated Metal-Organic Frameworks for Stable and Efficient Perovskite Photovoltaics.

Metal-organic frameworks (MOFs) have been investigated recently in perovskite photovoltaics owing to their potential to boost optoelectronic performance and device stability. However, the impact of variations in the MOF side chain on perovskite characteristics and the mechanism of MOF/perovskite film formation remains unclear. In this study, three nanoscale thiol-functionalized UiO-66-type Zr-based MOFs (UiO-66-(SH)2 , UiO-66-MSA, and UiO-66-DMSA) are systematically employed and examined in perovskite solar cells (PSCs). Among these MOFs, UiO-66-(SH)2 , with its rigid organic ligands, exhibited a strong interaction with perovskite materials with more efficient suppression of perovskite vacancy defects. More importantly, A detailed and in-depth discussion is provided on the formation mechanism of UiO-66-(SH)2 -assisted perovskite film upon in situ GIWAXS performed during the annealing process. The incorporation of UiO-66-(SH)2 additives substantially facilitates the conversion of PbI2 into the perovskite phase, prolongs the duration of stage I, and induces a delayed phase transformation pathway. Consequently, the UiO-66-(SH)2 -assisted device demonstrates reduced defect density and superior optoelectronic properties with optimized power conversion efficiency of 24.09% and enhanced long-term stability under ambient environment and continuous light illumination conditions. This study acts as a helpful design guide for desired MOF/perovskite structures, enabling further advancements in MOF/perovskite optoelectronic devices.

Changes in Physical Function and Physical Therapy Use in Older Veterans Not Infected by CoVID-19 Residing in Community Living Centers During the CoVID-19 Pandemic.

OBJECTIVES: Examine physical function change and physical therapy (PT) use in short-stay and long-stay residents not infected by CoVID-19 within Veterans Affairs (VA) Community Living Centers (CLCs). DESIGN: Retrospective cohort study using Minimum Data Set (MDS) 3.0 assessments. SETTINGS AND PARTICIPANTS: 12,606 Veterans in 133 VA CLCs between September 2019 and September 2020. METHODS: Difference in physical function [MDS Activities of Daily Living Score (MDS-ADL)] and PT use (minutes in past 7 days) from admission to last assessment in a period were compared between the pre-CoVID-19 (September 2019 to February 2020) and early CoVID-19 (April 2020 to September 2020) period using mixed effects regression with multivariable adjustment. Assessments after a positive CoVID-19 test were excluded. Differences were examined in the sample and repeated after stratifying into short- and long-stay stratums. RESULTS: Veterans admitted during early CoVID-19 had more comorbidities, worse MDS-ADL scores, and were more often long-stay residents compared with those admitted during pre-CoVID-19. In comparison to pre-CoVID-19, Veterans in VA CLCs during early CoVID-19 experienced greater improvements in their MDS-ADL (-0.49 points, 95% CI -0.27, -0.71) and received similar minutes of therapy (2.6 minutes, 95% CI -0.8, 6.0). Stratification revealed short-stay residents had relative improvements in their function (-0.69 points, 95% CI -0.44, -0.94) and higher minutes of PT (5.1 minutes, 95% CI 0.9, 9.2) during early CoVID-19 whereas long-stay residents did not see differences in functional change (0.08 points, 95% CI -0.36, 0.51) or PT use (-0.6 minutes, 95% CI -6.1, 4.9). CONCLUSIONS AND IMPLICATIONS: During early CoVID-19, physical function improved while the amount of PT received was maintained compared with pre-CoVID-19 for Veterans in VA CLCs. Short-stay residents experienced greater improvements in physical function and increases in PT use. These findings may be partly due to selection bias relating to Veterans admitted to CLCs during early CoVID-19.

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.

Clinician perspectives on nonoperative management of hip fractures during COVID-19.

Aims: To identify factors influencing clinicians' decisions to undertake a nonoperative hip fracture management approach among older people, and to determine whether there is global heterogeneity regarding these factors between clinicians from high-income countries (HIC) and low- and middle-income countries (LMIC). Methods: A SurveyMonkey questionnaire was electronically distributed to clinicians around the world through the Fragility Fracture Network (FFN)'s Perioperative Special Interest Group and clinicians' personal networks between 24 May and 25 July 2021. Analyses were performed using Excel and STATA v16.0. Between-group differences were determined using independent-samples t-tests and chi-squared tests. Results: A total of 406 respondents from 51 countries answered the questionnaire, of whom 225 came from HIC and 180 from LMIC. Clinicians from HIC reported a greater median and mean estimated proportion of admitted patients with hip fracture undergoing surgery (median 96% (interquartile range (IQR) 95% to 99%); mean 94% (SD 8%)) than those from LMIC (median 85% (IQR 75% to 95%); mean 81% (SD 16%); p < 0.001). Global heterogeneity seems to exist regarding factors such as anticipated life expectancy, insufficient resources, ability to pay, treatment costs, and perception of risk in hip fracture management decision-making. Conclusion: This study represents the first international sampling of clinician perspectives regarding nonoperative hip fracture management. Several factors seemed to influence the clinician decision-making process. Further research is needed to inform the development of best practice guidelines to improve decision-making and the quality of hip fracture care among older people.

Assessment of Frailty and Risk of Chemotherapy Toxicity at a Geriatric-Oncology Multidisciplinary Clinic.

BACKGROUND: Multidisciplinary Geriatric-Oncology (GO-MDC) clinic performed comprehensive geriatric assessment (CGA) to determine frailty and chemotherapy toxicity risk. METHOD: Retrospective cohort study of patients ≥65 years seen between April 2017 to March 2022. We compared Eastern Cooperative Oncology Group-Performance Status (ECOG-PS) to CGA as a determinant of frailty and risk of toxicity from chemotherapy. RESULTS: Mean age of the 66 patients was 79 years. Eighty-five percent were Caucasian. Predominant cancers were breast (30%), and gynecological (26%). One-third were stage 4. The CGA identified fit (35%), vulnerable (48%), and frail (17%) patients whereas ECOG-PS classified 80% as fit. CGA assessed 57% of ECOG-fit patients as vulnerable or frail (p<0.001). High chemotherapy toxicity risk using CGA was 41% and using ECOG was 17% (p=0.002). CONCLUSION: At GO-MDC, CGA was a better predictor of frailty and toxicity risk than ECOG-PS. Treatment modification was recommended in one-third of patients.

Impact of Geriatric Trauma Co-Management on 1-Year Mortality in Older Adults with Multiple Rib Fractures.

BACKGROUND: Rib fractures in older adults are associated with higher morbidity and mortality. Geriatric trauma co-management programs have looked at in-hospital mortality but not long-term outcomes. METHODS: A retrospective study of multiple rib fracture patients 65 years and older (n=357), admitted from September 2012 to November 2014 comparing Geriatric trauma co-management (GTC) vs Usual Care by trauma surgery (UC). The primary outcome was 1-year mortality. RESULTS: 38.9% (139) were cared for by GTC. Compared to the UC, GTC patients were older (81.6±8.6 years vs 79±8.5) and had more comorbidities (Charlson 2.8±1.6 vs 2.2±1.6). GTC patients had 46% less chance of dying in 1-year compared to UC (HR 0.54, 95% CI [0.33-0.86]).  Conclusions: GTC showed a significant reduction in 1-year mortality even though patients were overall older and more comorbid. This shows multidisciplinary teams are crucial to patient outcomes and should continue to be further explored.

Class II/III Obesity Prevalence in Residents of US Nursing Homes: Cross-sectional Study and Forecasting 2030 with COVID-19 Perspective.

OBJECTIVES: This study aimed to better understand Class II/III obesity prevalence trends among older adults residing in nursing homes (NH) nationwide. METHODS: Our retrospective cross-sectional study evaluated Class II/III obesity (BMI ≥35 kg/m²) prevalence among NH residents in two independent national NH cohorts. We used databases from Veterans Administration NHs called Community Living Centers (CLCs) covering 7 years to 2022, and Rhode Island Medicare data covering 20 years ending in 2020. We also performed forecasting regression analysis of obesity trends. RESULTS: While VA CLC resident obesity prevalence was less overall and dipped during the COVID-19 pandemic, obesity prevalence increased in NH residents in both cohorts over the last decade and is predicted to do so through 2030. CONCLUSION: Obesity prevalence in NHs is on the rise. It will be important to understand clinical, functional, and financial implications for NHs, particularly if predictions on increases materialize.

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.

Acute Antipsychotic Use and Presence of Dysphagia Among Older Veterans with Heart Failure.

OBJECTIVE: Examine whether new antipsychotic (AP) exposure is associated with dysphagia in hospitalized patients with heart failure (HF). DESIGN: Retrospective cohort. SETTINGS AND PARTICIPANTS: AP-naïve Veterans hospitalized with HF and subsequently discharged to a skilled nursing facility (SNF) between October 1, 2010, and November 30, 2019. METHODS: We linked Veterans Health Administration (VHA) electronic medical records with Centers for Medicare & Medicaid (CMS) Minimum Data Set (MDS) version 3.0 assessments and CMS claims. The exposure variable was administration of ≥1 dose of a typical or atypical AP during hospitalization. Our main outcome measure was dysphagia presence defined by (1) inpatient dysphagia diagnosis codes and (2) the SNF admission MDS 3.0 swallowing-related items to examine post-acute care dysphagia status. Inverse probability of treatment weighting was used for risk adjustment. RESULTS: The analytic cohort consisted of 29,591 Veterans (mean age 78.5 ± 10.0 years; female 2.9%; n = 865). Acute APs were administered to 9.9% (n = 2941). Those receiving APs had differences in prior dementia [37.1%, n = 1091, vs 22.3%, n = 5942; standardized mean difference (SMD) = 0.33] and hospital delirium diagnoses (7.7%, n = 227 vs 2.8%, n = 754; SMD = 0.22). Acute AP exposure was associated with nearly double the risk for hospital dysphagia diagnosis codes [adjusted (adj.) relative risk (RR) 1.9, 95% CI 1.8, 2.1]. At the SNF admission MDS assessment, acute AP administration during hospitalization was associated with an increased dysphagia risk (adj. RR 1.2, 95% CI 1.0, 1.5) both in the oral (adj. RR 1.7, 95% CI 1.2, 2.0) and pharyngeal phases (adj. RR 1.3, 95% CI 1.0, 1.7). CONCLUSIONS AND IMPLICATIONS: In this retrospective study, AP medication exposure was associated with increased dysphagia coding and MDS assessment. Considering other adverse effects, acute AP should be cautiously administered during hospitalization, particularly in those with dementia. Swallowing function is critical to hydration, nutrition, and medical management of HF; therefore, when acute APs are initiated, a swallow evaluation should be considered.

Comparing Resident, Proxy, and Staff Respondents for Nursing Home Residents' Preferences for Everyday Living.

To encourage person-centered care, the Centers for Medicare and Medicaid require nursing homes to measure resident preferences using the Preferences Assessment Tool (PAT). No known research has examined the implications of respondent type (i.e., resident, proxy, staff) on preference importance; therefore, the purpose of this study was to compare the importance of preferences depending on which respondent completed the PAT. Participants included 16,111 Veterans discharged to community-based skilled nursing facilities after hospitalization for heart failure. A majority (95%) of residents completed the PAT compared to proxy (3%) and staff (2%). Proxy responders were both more and less likely to indicate individual preferences as important compared to residents. Staff members were consistently less likely to indicate all preferences as important compared to residents. Findings from this study emphasize the need for proxy and staff to find methods to better understand residents' preferences when residents are not able to participate in assessments.

A Model of Care to Improve Survival of Older Trauma Patients: Geriatrics Comanagement.

BACKGROUND: Trauma patients older than 80 years of age have higher mortality rates compared to younger peers. No studies have investigated the effectiveness of geriatrics comanagement on mortality in general trauma. METHODS: A retrospective cohort study from 2015 to 2016 comparing overall and inpatient mortality in a geriatrics trauma comanagement (GTC) program versus usual care (UC). Demographic and outcome measures were obtained from the trauma registry at an 11-bed trauma critical care unit within a 719-bed Level 1 Trauma Center. One thousand five hundred and seventy two patients, 80 years and older, with an admitting trauma diagnosis were evaluated. Primary outcome was in-hospital mortality and overall mortality (defined as inpatient death or discharge to hospice). Secondary outcomes included hospital length of stay (LOS), Intensive Care Unit (ICU) LOS, discharge location, and medical complications. RESULTS: Three hundred and forty six patients (22%) were placed in the GTC program. Overall mortality was lower in the GTC (4.9%) when compared with UC (11.9%), representing a 57% reduction (95% odds ratio [OR] confidence interval [CI] 0.24-0.75, p value = .0028). There was a 7.42% hospital mortality rate in the UC group compared to 2.6% in the GTC group (95% CI 0.21-0.92, p value = .0285), representing a 56% decrease in in-hospital mortality. GTC patients had a longer mean LOS (6.4 days vs 5.3 days, p value < .0001). More GTC patients were sent to inpatient rehabilitation facilities or skilled nursing facilities (80% vs 60%, p value < .0001). CONCLUSION: Geriatrics trauma comanagement of trauma patients above the age of 80 may reduce mortality and deserves formal study.

Syndromic Antibiograms and Nursing Home Clinicians' Antibiotic Choices for Urinary Tract Infections.

Importance: Empirical antibiotic prescribing in nursing homes (NHs) is often suboptimal. The potential for antibiograms to improve empirical antibiotic decision-making in NHs remains poorly understood. Objective: To determine whether providing NH clinicians with a urinary antibiogram improves empirical antibiotic treatment of urinary tract infections (UTIs). Design, Setting, and Participants: This was a survey study using clinical vignettes. Participants were recruited via convenience sampling of professional organization listservs of NH clinicians practicing in the US from December 2021 through April 2022. Data were analyzed from July 2022 to June 2023. Interventions: Respondents were randomized to complete vignettes using a traditional antibiogram (TA), a weighted-incidence syndromic combination antibiogram (WISCA), or no tool. Participants randomized to antibiogram groups were asked to use the antibiogram to empirically prescribe an antibiotic. Participants randomized to the no tool group functioned as controls. Main Outcomes and Measures: Empirical antibiotic selections were characterized as microbiologically (1) active and (2) optimal according to route of administration and spectrum of activity. Results: Of 317 responses, 298 (95%) were included in the analysis. Duplicate responses (15 participants), location outside the US (2 participants), and uninterpretable responses (2 participants) were excluded. Most respondents were physicians (217 respondents [73%]) and had over 10 years of NH practice experience (155 respondents [52%]). A mixed-effects logistic model found that use of the TA (odds ratio [OR], 1.41; 95% CI, 1.19-1.68; P < .001) and WISCA (OR, 1.54; 95% CI, 1.30-1.84; P < .001) were statistically superior to no tool when choosing an active empirical antibiotic. A similarly constructed model found that use of the TA (OR, 1.94; 95% CI, 1.42-2.66; P < .001) and WISCA (OR, 1.7; 95% CI, 1.24-2.33; P = .003) were statistically superior to no tool when selecting an optimal empirical antibiotic. Although there were differences between tools within specific vignettes, when compared across all vignettes, the TA and WISCA performed similarly for active (OR, 1.09; 95% CI, 0.92-1.30; P = .59) and optimal (OR, 0.87; 95% CI, 0.64-1.20; P = .69) antibiotics. Conclusions and Relevance: Providing NH clinicians with a urinary antibiogram was associated with selection of active and optimal antibiotics when empirically treating UTIs under simulated conditions. Although the antibiogram format was not associated with decision-making in aggregate, context-specific effects may have been present, supporting further study of syndromic antibiograms in clinical practice.

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.

Outcomes in heart failure patients discharged to skilled nursing facilities with delirium.

AIM: Heart failure (HF) outcomes are disproportionately worse in patients discharged to skilled nursing facilities (SNF) as opposed to home. We hypothesized that dementia and delirium were key factors influencing these differences. Our aim was to explore the associations of dementia and delirium with risk of hospital readmission and mortality in HF patients discharged to SNF. METHODS AND RESULTS: The study population included Veterans hospitalized for a primary diagnosis of HF and discharged to SNFs between 2010 and 2015. Pre-existing dementia was identified based on International Classification of Diseases-9 codes. Delirium was determined using the Minimum Data Set 3.0 Confusion Assessment Method algorithm. Proportional hazard regression analyses were used to model outcomes and were adjusted for covariates of interest. Patients (n = 21 655) were older (77.0 ± 10.5 years) and predominantly male (96.9%). Four groups were created according to presence (+) or absence (-) of dementia and delirium. Relative to the dementia-/delirium- group, the dementia-/delirium+ group was associated with increased 30 day mortality [adjusted hazard ratio (HR) = 2.2, 95% confidence interval (CI) = 1.7, 3.0] and 365 day mortality (adjusted HR = 1.5, 95% CI = 1.3, 1.7). Readmission was highest in the dementia-/delirium+ group after 30 days (HR = 1.2, 95% CI = 1.0, 1.5). In the group with dementia (delirium-/dementia+), 30 day mortality (12.8%; HR = 0.7, 95% CI = 0.7, 0.8) and readmissions (5.3%; HR = 1.0, 95% CI = 0.8, 1.1) were not different relative to the reference group. CONCLUSIONS: Delirium, independent of pre-existing dementia, confers increased risk of hospital readmission and mortality in HF patients discharged to SNFs. Managing HF after hospitalization is a complex cognitive task and an increased focus on mental status in the acute care setting prior to discharge is needed to improve HF management and transitional care, mitigate adverse outcomes, and reduce healthcare costs.

Dementia prevalence, a contextual factor associated with SARS-CoV-2 in veterans affairs community living centers.

BACKGROUND: Alzheimer's disease and related dementias (ADRD) impact the diagnosis and infection control of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in nursing homes (NH) by influencing the behavior of residents and their caregivers. Health system data show an association between ADRD and SARS-CoV-2. Whether this association is present in NH populations remains unknown. How increased SARS-CoV-2 risk among residents with ADRD impacts the greater NH population also remains unknown. METHODS: This retrospective cohort study used electronic health record data on Veterans residing in 133 Veterans Affairs Community Living Centers (CLC) and 15 spinal cord injury units from March 1, 2020 to December 13, 2020. We measured ADRD using diagnostic codes 12 months before an index SARS-CoV-2 test date for each resident. We used Poisson regression to determine the relative risk of SARS-CoV-2 for the highest quartile of facility ADRD prevalence versus the lowest, stratifying by individual ADRD status, and adjusting for covariates, with and without a random intercept to account for facility clustering. RESULTS: Across the study period, 15,043 residents resided in CLCs, 1952 (13.0%) had SARS-CoV-2, and 8067 (53.6%) had ADRD. There was an estimated 60% increased risk of SARS-CoV-2 in facilities with highest dementia prevalence versus lowest (relative risk, 1.6 [95% confidence interval 0.95, 2.7]). CONCLUSIONS: CLC residents had a greater likelihood of SARS-CoV-2 infection in facilities with greater ADRD prevalence. Facility characteristics other than ADRD prevalence may account for this association.

Can we use temperature measurements to identify pre-symptomatic SARS-CoV-2 infection in nursing home residents?

BACKGROUND: COVID-19 has had a severe impact on morbidity and mortality among nursing home (NH) residents. Earlier detection of SARS-CoV-2 may position us to better mitigate the risk of spread. Both asymptomatic and pre-symptomatic transmission are common in outbreaks, and threshold temperatures, such as 38C, for screening for infection could miss timely detection in the majority of residents. We hypothesized that in long-term care residents, temperature trends with SARS-CoV-2 infection could identify infection in pre-symptomatic individuals earlier than standard screening. METHODS: We conducted a retrospective cohort study using electronic health records in 6176 residents of the VA NHs who underwent SARS-CoV-2 testing triggered by symptoms. We collected information about age and other demographics, baseline temperature, and specific comorbidities. We created standardized definitions, and a hypothetical model to test measures of temperature variation and compare outcomes to the VA standard of care. RESULTS: We showed that a change from baseline of 0.4C identified 47% of NH residents who became SARS-CoV-2 positive, earlier than standard testing by an average of 42.2 h. Temperature variability of 0.5C over 3 days when paired with a 37.2C temperature cutoff identified 55% of NH residents who became SARS-CoV-2 positive earlier than the standard of care testing by an average of 44.4 h. A change from baseline temperature of 0.4C when combined with temperature variability of 0.7C over 3 days identified 52% of NH residents who became SARS-CoV-2 positive, earlier than standard testing by an average of 40 h, and by more than 3 days in 22% of the residents. This earlier detection comes at the expense of triggering 57,793 tests, as compared to the number of trigger tests ordered in the VA system of 40,691. CONCLUSIONS: Our model suggests that early temperature trends with SARS-CoV-2 infection may identify infection in pre-symptomatic long-term care residents.