A multi-ancestry GWAS of Fuchs corneal dystrophy highlights the contributions of laminins, collagen, and endothelial cell regulation.

Fuchs endothelial corneal dystrophy (FECD) is a leading indication for corneal transplantation, but its molecular etiology remains poorly understood. We performed genome-wide association studies (GWAS) of FECD in the Million Veteran Program followed by multi-ancestry meta-analysis with the previous largest FECD GWAS, for a total of 3970 cases and 333,794 controls. We confirm the previous four loci, and identify eight novel loci: SSBP3, THSD7A, LAMB1, PIDD1, RORA, HS3ST3B1, LAMA5, and COL18A1. We further confirm the TCF4 locus in GWAS for admixed African and Hispanic/Latino ancestries and show an enrichment of European-ancestry haplotypes at TCF4 in FECD cases. Among the novel associations are low frequency missense variants in laminin genes LAMA5 and LAMB1 which, together with previously reported LAMC1, form laminin-511 (LM511). AlphaFold 2 protein modeling, validated through homology, suggests that mutations at LAMA5 and LAMB1 may destabilize LM511 by altering inter-domain interactions or extracellular matrix binding. Finally, phenome-wide association scans and colocalization analyses suggest that the TCF4 CTG18.1 trinucleotide repeat expansion leads to dysregulation of ion transport in the corneal endothelium and has pleiotropic effects on renal function.

Trends and geographic differences in social work telehealth utilization.

We plotted trends in social work telehealth use among Veterans in a U.S. national social work staffing program and examined the relationship between geographic factors (rurality and neighborhood disadvantage) and telehealth use (audio and video) using linear probability models. Social work telehealth use increased among Veterans during the COVID-19 pandemic. There were no geographic differences in telephone telehealth use. Video telehealth use was less common among Veterans in isolated rural areas and among Veterans in highly disadvantaged areas. Outreach efforts can address barriers that Veterans who live in rural and disadvantaged areas may experience in using video telehealth.

Development of Portable Electronic Health Record Based Algorithms to Identify Individuals with Diabetic Retinopathy.

Objectives: To develop, validate and implement algorithms to identify diabetic retinopathy (DR) cases and controls from electronic health care records (EHR)s. Methods : We developed and validated EHR-based algorithms to identify DR cases and individuals with type I or II diabetes without DR (controls) in three independent EHR systems: Vanderbilt University Medical Center Synthetic Derivative (VUMC), the VA Northeast Ohio Healthcare System (VANEOHS), and Massachusetts General Brigham (MGB). Cases were required to meet one of three criteria: 1) two or more dates with any DR ICD-9/10 code documented in the EHR, or 2) at least one affirmative health-factor or EPIC code for DR along with an ICD9/10 code for DR on a different day, or 3) at least one ICD-9/10 code for any DR occurring within 24 hours of an ophthalmology exam. Criteria for controls included affirmative evidence for diabetes as well as an ophthalmology exam. Results: The algorithms, developed and evaluated in VUMC through manual chart review, resulted in a positive predictive value (PPV) of 0.93 for cases and negative predictive value (NPV) of 0.97 for controls. Implementation of algorithms yielded similar metrics in VANEOHS (PPV=0.94; NPV=0.86) and lower in MGB (PPV=0.84; NPV=0.76). In comparison, use of DR definition as implemented in Phenome-wide association study (PheWAS) in VUMC, yielded similar PPV (0.92) but substantially reduced NPV (0.48). Implementation of the algorithms to the Million Veteran Program identified over 62,000 DR cases with genetic data including 14,549 African Americans and 6,209 Hispanics with DR. Conclusions/Discussion: We demonstrate the robustness of the algorithms at three separate health-care centers, with a minimum PPV of 0.84 and substantially improved NPV than existing high-throughput methods. We strongly encourage independent validation and incorporation of features unique to each EHR to enhance algorithm performance for DR cases and controls.

Benefits and challenges in the use of RE-AIM for evaluation of a national social work staffing program in the veterans health administration.

Background: In the Department of Veterans Affairs (VA) Veterans Health Administration (VHA), social workers embedded in primary care teams address social and emotional needs that are associated with health outcomes. The mission of the National Social Work PACT Staffing Program is to improve access to social work services for rural Veterans by supporting additional social work staffing in VA medical centers serving rural areas. Methods: We obtained data from the VA corporate data warehouse on Veterans' characteristics and health care use from 2016 to 2022 for all Veterans who received primary care at a Veterans Affairs Medical Center (VAMC) or associated clinic that received funding from the program. We evaluated the program according to RE-AIM constructs as follows: Reach [total number of Veterans who engaged with PACT social work and representativeness with regard to race, rural residence, chronic conditions and health behaviors, and hospital and emergency department (ED) use in the previous 12 months]; Effectiveness (impact of the program on key health care use outcomes which include hospitalizations, emergency department visits, and palliative care); Adoption (number of VA medical centers and outpatient clinics serving rural Veterans that have participated in the program, and number and representativeness of sites eligible for program participation that have not yet received funding); Implementation (adherence to standardized note templates), and Maintenance (permanent social work positions created by the program and continued technical support). Results: In 2022, the program engaged with 30,982 Veterans, 65% of whom lived in rural areas. The program increased social work encounters, reduce hospital and emergency department use, and increase use of palliative care services among Veterans. Key elements of implementation include proactive outreach to Veterans with high-risk indicators and assessment for social risk factors using standardized, national note templates. In terms of maintenance, the program continues to provide data and technical assistance to 23 sites and has created 171 permanent social work positions. Conclusions and implications: The Social Work PACT Staffing Program demonstrates positive outcomes and program sustainment. The RE-AIM framework was a useful tool to evaluate the program, but additional adaption was needed to fit the program's needs.

Durability of immunity and clinical protection in nursing home residents following bivalent SARS-CoV-2 vaccination.

Background: Vaccines have substantially mitigated the disproportional impact of SARS-CoV-2 on the high morbidity and mortality experienced by nursing home residents. However, variation in vaccine efficacy, immune senescence and waning immunity all undermine vaccine effectiveness over time. The introduction of the bivalent vaccine in September 2022 aimed to counter this increasing susceptibility and consequences of breakthrough infection, however data on the durability and protection of the vaccine are limited. We evaluated the durability of immunity and protection after the first bivalent vaccination to SARS-CoV-2 in nursing home residents. Methods: For the immunologic evaluation, community nursing home volunteers agreed to serial blood sampling before, at two weeks, three and six months after each vaccination for antibodies to spike protein and pseudovirus neutralization activity over time. Concurrent clinical outcomes were evaluated by reviewing electronic health record data from residents living in Veterans Administration managed nursing home units. Residents without recent infection but prior vaccination to SARS-CoV-2 were followed over time beginning with administration of the newly available bivalent vaccine using a target trial emulation (TTE) approach; TTE compared time to breakthrough infection, hospitalization and death between those who did and did not receive the bivalent vaccine. Results: We evaluated antibodies in 650 nursing home residents; 452 had data available following a first monovalent booster, 257 following a second monovalent booster and 321 following a bivalent vaccine. We found a rise in BA.5 neutralization activity from the first and second monovalent boosters through the bivalent vaccination regardless of prior SARS-CoV-2 history. Titers declined at three and six months after the bivalent vaccination but generally exceeded those at three months compared to either prior boost. BA.5 neutralization titers six months after the bivalent vaccination were diminished but had detectable levels in 80% of infection-naive and 100% of prior infected individuals. TTE evaluated 5903 unique subjects, of whom 2235 received the bivalent boost. TTE demonstrated 39% or greater reduction in risk of infection, hospitalization or death at four months following the bivalent boost. Conclusion: Immunologic results mirrored those of the TTE and suggest bivalent vaccination added substantial protection for up to six months after bivalent vaccination with notable exceptions. However, the level of protection declined over this period, and by six months may open a window of added vulnerability to infection before the next updated vaccine becomes available. We strongly agree with the CDC recommendation that those who have not received a bivalent vaccination receive that now and these results support a second bivalent booster for those at greatest risk which includes many nursing home residents.

Association Between Fuchs Endothelial Corneal Dystrophy, Diabetes Mellitus, and Multimorbidity.

PURPOSE: The aim of this study was to assess risk for demographic variables and other health conditions that are associated with Fuchs endothelial corneal dystrophy (FECD). METHODS: We developed a FECD case-control algorithm based on structured electronic health record data and confirmed accuracy by individual review of charts at 3 Veterans Affairs (VA) Medical Centers. This algorithm was applied to the Department of VA Million Veteran Program cohort from whom sex, genetic ancestry, comorbidities, diagnostic phecodes, and laboratory values were extracted. Single-variable and multiple variable logistic regression models were used to determine the association of these risk factors with FECD diagnosis. RESULTS: Being a FECD case was associated with female sex, European genetic ancestry, and a greater number of comorbidities. Of 1417 diagnostic phecodes evaluated, 213 had a significant association with FECD, falling in both ocular and nonocular conditions, including diabetes mellitus (DM). Five of 69 laboratory values were associated with FECD, with the direction of change for 4 being consistent with DM. Insulin dependency and type 1 DM raised risk to a greater degree than type 2 DM, like other microvascular diabetic complications. CONCLUSIONS: Female sex, European ancestry, and multimorbidity increased FECD risk. Endocrine/metabolic clinic encounter codes and altered patterns of laboratory values support DM increasing FECD risk. Our results evoke a threshold model in which the FECD phenotype is intensified by DM and potentially other health conditions that alter corneal physiology. Further studies to better understand the relationship between FECD and DM are indicated and may help identify opportunities for slowing FECD progression.

Implementing a Social Needs Screening and Referral Program Among Veterans: Assessing Circumstances & Offering Resources for Needs (ACORN).

BACKGROUND: The Department of Veterans Affairs (VA) healthcare system routinely screens Veterans for food insecurity, housing instability, and intimate partner violence, but does not systematically screen for other health-related social needs (HRSNs). OBJECTIVES: To (1) develop a process for systematically identifying and addressing Veterans' HRSNs, (2) determine reported prevalence of HRSNs, and (3) assess the acceptability of HRSN screening among Veterans. DESIGN: "Assessing Circumstances and Offering Resources for Needs" (ACORN) is a Veteran-tailored HRSN screening and referral quality improvement initiative. Veterans were screened via electronic tablet for nine HRSNs (food, housing, utilities, transportation, legal needs, social isolation, interpersonal violence, employment, and education) and provided geographically tailored resource guides for identified needs. Two-week follow-up interviews with a purposive sample of Veterans explored screening experiences. PARTICIPANTS: Convenience sample of Veterans presenting for primary care at a VA urban women's health clinic and suburban community-based outpatient clinic (October 2019-May 2020). MAIN MEASURES: Primary outcomes included prevalence of HRSNs, Veteran-reported acceptability of screening, and use of resources guides. Data were analyzed using descriptive statistics, chi-square tests, and rapid qualitative analysis. KEY RESULTS: Of 268 Veterans screened, 50% reported one or more HRSNs. Social isolation was endorsed most frequently (29%), followed by educational needs (19%), interpersonal violence (12%), housing instability (9%), and utility concerns (7%). One in five Veterans reported at least one form of material hardship. In follow-up interviews (n = 15), Veterans found screening acceptable and felt VA should continue screening. No Veterans interviewed had contacted recommended resources at two-week follow-up, although several planned to use resource guides in the future. CONCLUSION: In a VA HRSN screening and referral program, Veterans frequently reported HRSNs, felt screening was important, and thought VA should continue to screen for these needs. Screening for HRSNs is a critical step towards connecting patients with services, identifying gaps in service delivery, and informing future resource allocation.

Social Work Staffing and Use of Palliative Care Among Recently Hospitalized Veterans.

Importance: Palliative care improves quality of life for patients and families but may be underused. Objective: To assess the association of an intervention to increase social work staffing in Veterans Health Administration primary care teams with use of palliative care among veterans with a recent hospitalization. Design, Setting, and Participants: This cohort study used differences-in-differences analyses of the change in palliative care use associated with implementation of the Social Work Patient Aligned Care Team (PACT) staffing program, conducted from October 1, 2016, to September 30, 2019. The study included 71 VA primary care sites serving rural veterans. Participants were adult veterans who received primary care services from a site enrolled in the program and who received inpatient hospital care. Data were analyzed from January 2020 to August 2022. Exposures: The PACT staffing program was a clinic-level intervention that provided 3-year seed funding to Veterans Health Administration medical centers to hire 1 or more additional social workers in primary care teams. Staggered timing of the intervention enabled comparison of mean outcomes across sites before and after the intervention. Main Outcomes and Measures: The primary outcome was the number of individuals per 1000 veterans who had any palliative care use in 30 days after an inpatient hospital stay. Results: The analytic sample included 43 200 veterans (mean [SD] age, 65.34 [13.95] years; 37 259 [86.25%] men) and a total of 91 675 episodes of inpatient hospital care. Among the total cohort, 8611 veterans (9.39%) were Black, 77 069 veterans (84.07%) were White, and 2679 veterans (2.92%) were another race (including American Indian or Alaskan Native, Asian, and Native Hawaiian or other Pacific Islander). A mean of 14.5 individuals per 1000 veterans (1329 individuals in all) used palliative care after a hospital stay. After the intervention, there was an increase of 15.6 (95% CI, 9.2-22.3) individuals per 1000 veterans using palliative or hospice care after a hospital stay, controlling for national time trends and veteran characteristics-a 2-fold difference relative to the mean. Conclusions and Relevance: This cohort study found significant increases in use of palliative care for recently hospitalized veterans whose primary care team had additional social work staffing. These findings suggest that social workers may increase access to and/or use of palliative care. Future work should assess the mechanism for this association and whether the increase in palliative care is associated with other health or health care outcomes.

Diversity is key for cross-ancestry transferability of glaucoma genetic risk scores in Hispanic Veterans in the Million Veteran Program.

A major goal of precision medicine is to stratify patients based on their genetic risk for a disease to inform future screening and intervention strategies. For conditions like primary open-angle glaucoma (POAG), the genetic risk architecture is complicated with multiple variants contributing small effects on risk. Following the tepid success of genome-wide association studies for high-effect disease risk variant discovery, genetic risk scores (GRS), which collate effects from multiple genetic variants into a single measure, have shown promise for disease risk stratification. We assessed the application of GRS for POAG risk stratification in Hispanic-descent (HIS) and European-descent (EUR) Veterans in the Million Veteran Program. Unweighted and cross-ancestry meta-weighted GRS were calculated based on 127 genomic variants identified in the most recent report of cross-ancestry POAG meta-analyses. We found that both GRS types were associated with POAG case-control status and performed similarly in HIS and EUR Veterans. This trend was also seen in our subset analysis of HIS Veterans with less than 50% EUR global genetic ancestry. Our findings highlight the importance of evaluating GRS based on known POAG risk variants in different ancestry groups and emphasize the need for more multi-ancestry POAG genetic studies.

Infections, Hospitalizations, and Deaths Among US Nursing Home Residents With vs Without a SARS-CoV-2 Vaccine Booster.

Importance: A SARS-CoV-2 vaccine booster dose has been recommended for all nursing home residents. However, data on the effectiveness of an mRNA vaccine booster in preventing infection, hospitalization, and death in this vulnerable population are lacking. Objective: To evaluate the association between receipt of a SARS-CoV-2 mRNA vaccine booster and prevention of infection, hospitalization, or death among nursing home residents. Design, Setting, and Participants: This cohort study emulated sequentially nested target trials for vaccination using data from 2 large multistate US nursing home systems: Genesis HealthCare, a community nursing home operator (system 1) and Veterans Health Administration community living centers (VHA CLCs; system 2). The cohort included long-term (≥100 days) nursing home residents (10 949 residents from 202 community nursing homes and 4321 residents from 128 VHA CLCs) who completed a 2-dose series of an mRNA vaccine (either BNT162b2 [Pfizer-BioNTech] or mRNA-1273 [Moderna]) and were eligible for a booster dose between September 22 and November 30, 2021. Residents were followed up until March 8, 2022. Exposures: Receipt of a third mRNA vaccine dose, defined as a booster dose (boosted group), or nonreceipt of a booster dose (unboosted group) on an eligible target trial date. If participants in the unboosted group received a booster dose on a later target trial date, they were included in the booster group for that target trial; thus, participants could be included in both the boosted and unboosted groups. Main Outcomes and Measures: Test-confirmed SARS-CoV-2 infection, hospitalization, or death was followed up to 12 weeks after booster vaccination. The primary measure of estimated vaccine effectiveness was the ratio of cumulative incidences in the boosted group vs the unboosted group at week 12, adjusted with inverse probability weights for treatment and censoring. Results: System 1 included 202 community nursing homes; among 8332 boosted residents (5325 [63.9%] female; 6685 [80.2%] White) vs 10 886 unboosted residents (6865 [63.1%] female; 8651 [79.5%] White), the median age was 78 (IQR, 68-87) years vs 78 (IQR, 68-86) years. System 2 included 128 VHA CLCs; among 3289 boosted residents (3157 [96.0%] male; 1950 [59.3%] White) vs 4317 unboosted residents (4151 [96.2%] male; 2434 [56.4%] White), the median age was 74 (IQR, 70-80) vs 74 (IQR, 69-80) years. Booster vaccination was associated with reductions in SARS-CoV-2 infections of 37.7% (95% CI, 25.4%-44.2%) in system 1 and 57.7% (95% CI, 43.5%-67.8%) in system 2. For hospitalization, reductions of 74.4% (95% CI, 44.6%-86.2%) in system 1 and 64.1% (95% CI, 41.3%-76.0%) in system 2 were observed. Estimated vaccine effectiveness for death associated with SARS-CoV-2 was 87.9% (95% CI, 75.9%-93.9%) in system 1; however, although a reduction in death was observed in system 2 (46.6%; 95% CI, -34.6% to 94.8%), this reduction was not statistically significant. A total of 45 SARS-CoV-2-associated deaths occurred in system 1 and 18 deaths occurred in system 2. For the combined end point of SARS-CoV-2-associated hospitalization or death, boosted residents in system 1 had an 80.3% (95% CI, 65.7%-88.5%) reduction, and boosted residents in system 2 had a 63.8% (95% CI, 41.4%-76.1%) reduction. Conclusions and Relevance: In this study, during a period in which both the Delta and Omicron variants were circulating, SARS-CoV-2 booster vaccination was associated with significant reductions in SARS-CoV-2 infections, hospitalizations, and the combined end point of hospitalization or death among residents of 2 US nursing home systems. These findings suggest that administration of vaccine boosters to nursing home residents may have an important role in preventing COVID-19-associated morbidity and mortality.

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.

Glaucoma Genetic Risk Scores in the Million Veteran Program.

PURPOSE: Primary open-angle glaucoma (POAG) is a degenerative eye disease for which early treatment is critical to mitigate visual impairment and irreversible blindness. POAG-associated loci individually confer incremental risk. Genetic risk score(s) (GRS) could enable POAG risk stratification. Despite significantly higher POAG burden among individuals of African ancestry (AFR), GRS are limited in this population. A recent large-scale, multi-ancestry meta-analysis identified 127 POAG-associated loci and calculated cross-ancestry and ancestry-specific effect estimates, including in European ancestry (EUR) and AFR individuals. We assessed the utility of the 127-variant GRS for POAG risk stratification in EUR and AFR Veterans in the Million Veteran Program (MVP). We also explored the association between GRS and documented invasive glaucoma surgery (IGS). DESIGN: Cross-sectional study. PARTICIPANTS: MVP Veterans with imputed genetic data, including 5830 POAG cases (445 with IGS documented in the electronic health record) and 64 476 controls. METHODS: We tested unweighted and weighted GRS of 127 published risk variants in EUR (3382 cases and 58 811 controls) and AFR (2448 cases and 5665 controls) Veterans in the MVP. Weighted GRS were calculated using effect estimates from the most recently published report of cross-ancestry and ancestry-specific meta-analyses. We also evaluated GRS in POAG cases with documented IGS. MAIN OUTCOME MEASURES: Performance of 127-variant GRS in EUR and AFR Veterans for POAG risk stratification and association with documented IGS. RESULTS: GRS were significantly associated with POAG (P < 5 × 10-5) in both groups; a higher proportion of EUR compared with AFR were consistently categorized in the top GRS decile (21.9%-23.6% and 12.9%-14.5%, respectively). Only GRS weighted by ancestry-specific effect estimates were associated with IGS documentation in AFR cases; all GRS types were associated with IGS in EUR cases. CONCLUSIONS: Varied performance of the GRS for POAG risk stratification and documented IGS association in EUR and AFR Veterans highlights (1) the complex risk architecture of POAG, (2) the importance of diverse representation in genomics studies that inform GRS construction and evaluation, and (3) the necessity of expanding diverse POAG-related genomic data so that GRS can equitably aid in screening individuals at high risk of POAG and who may require more aggressive treatment.

Risk factors for Veteran food insecurity: findings from a National US Department of Veterans Affairs Food Insecurity Screener.

OBJECTIVE: Food insecurity is associated with numerous adverse health outcomes. The US Veterans Health Administration (VHA) began universal food insecurity screening in 2017. This study examined prevalence and correlates of food insecurity among Veterans screened. DESIGN: Retrospective cross-sectional study using VHA administrative data. Multivariable logistic regression models were estimated to identify sociodemographic and medical characteristics associated with a positive food insecurity screen. SETTING: All US Veterans Administration (VA) medical centres (n 161). PARTICIPANTS: All Veterans were screened for food insecurity since screening initiation (July 2017-December 2018). RESULTS: Of 3 304 702 Veterans screened for food insecurity, 44 298 were positive on their initial screen (1·3 % of men; 2·0 % of women). Food insecurity was associated with identifying as non-Hispanic Black or Hispanic. Veterans who were non-married/partnered, low-income Veterans without VA disability-related compensation and those with housing instability had higher odds of food insecurity, as did Veterans with a BMI < 18·5, diabetes, depression and post-traumatic stress disorder. Prior military sexual trauma (MST) was associated with food insecurity among both men and women. Women screening positive, however, were eight times more likely than men to have experienced MST (48·9 % v. 5·9 %). CONCLUSIONS: Food insecurity was associated with medical and trauma-related comorbidities as well as unmet social needs including housing instability. Additionally, Veterans of colour and women were at higher risk for food insecurity. Findings can inform development of tailored interventions to address food insecurity such as more frequent screening among high-risk populations, onsite support applying for federal food assistance programs and formal partnerships with community-based resources.

Development and Evaluation of a Rules-based Algorithm for Primary Open-Angle Glaucoma in the VA Million Veteran Program.

The availability of electronic health record (EHR)-linked biobank data for research presents opportunities to better understand complex ocular diseases. Developing accurate computable phenotypes for ocular diseases for which gold standard diagnosis includes imaging remains inaccessible in most biobank-linked EHRs. The objective of this study was to develop and validate a computable phenotype to identify primary open-angle glaucoma (POAG) through accessing the Department of Veterans Affairs (VA) Computerized Patient Record System (CPRS) and Million Veteran Program (MVP) biobank. Accessing CPRS clinical ophthalmology data from VA Medical Center Eye Clinic (VAMCEC) patients, we developed and iteratively refined POAG case and control algorithms based on clinical, prescription, and structured diagnosis data (ICD-CM codes). Refinement was performed via detailed chart review, initially at a single VAMCEC (n = 200) and validated at two additional VAMCECs (n = 100 each). Positive and negative predictive values (PPV, NPV) were computed as the proportion of CPRS patients correctly classified with POAG or without POAG, respectively, by the algorithms, validated by ophthalmologists and optometrists with access to gold-standard clinical diagnosis data. The final algorithms performed better than previously reported approaches in assuring the accuracy and reproducibility of POAG classification (PPV >83% and NPV >97%) with consistent performance in Black or African American and in White Veterans. Applied to the MVP to identify cases and controls, genetic analysis of a known POAG-associated locus further validated the algorithms. We conclude that ours is a viable approach to use combined EHR-genetic data to study patients with complex diseases that require imaging confirmation.

Derivation and Validation of a Predictive Algorithm for Long-Term Care Admission or Death.

OBJECTIVES: Older veterans prefer to remain in their homes and communities as long as possible. Although targeted delivery of home- and community-based services for veterans might delay long-term care placement, often, access to these services is inconsistently organized or delayed. To aid in early recognition of veterans at high risk for long-term care placement or death, we developed and validated a predictive algorithm, "Choose Home." DESIGN: A retrospective observational cohort analysis was used. SETTING AND PARTICIPANTS: Two cohorts of Veterans Health Administration (VHA; a large integrated health care system) users were assembled: Derivation (4.6 million) and Confirmation (4.7 million). The Derivation Cohort included Veterans Administration users from fiscal year 2013; the Confirmation Cohort included Veterans Administration users from fiscal year 2014. METHODS: A total of 148 predictor variables, including demographics, comorbidities, and utilizations were selected using logistic regression to predict placement in a long-term care facility for >90 days or death within 2 years. RESULTS: Veterans were predominantly male [92.8% (Derivation), 92.5% (Confirmation)] and older [61.7±15.5 (Derivation), 61.5±15.6 years (Confirmation)], with a high prevalence of comorbid conditions. Between the Derivation and Confirmation Cohorts, the areas under the receiver operating characteristic curves were found to be 0.80 [95% confidence interval (CI) 0.799, 0.802] and 0.80 (95% CI 0.800, 0.802), respectively, indicating good discrimination for determining at-risk veterans. CONCLUSIONS AND IMPLICATIONS: We created a predictive algorithm that identifies veterans at highest risk for long-term institutionalization or death. This algorithm provides clinicians with information that can proactively inform clinical decision making and care coordination. This study provides the groundwork for future investigations on how home- and community-based services can target older adults at highest risk to extend time in their communities.

Association of Home-Based Primary Care Enrollment with Social Determinants of Health for Older Veterans.

BACKGROUND: Home-based Primary Care (HBPC) provides comprehensive primary care to Veterans who may be at risk of adverse health outcomes due to their social determinants of health. Area Deprivation Index (ADI) can be used as a surrogate measure of a Veteran's social needs. OBJECTIVE: To estimate the effect of neighborhood disadvantage, as measured by ADI, on HBPC enrollment for a sample of Veterans. METHODS: We estimated a linear multivariate model in which the exposure was ADI and the outcome was enrollment in HBPC. Controls included clinical and demographic characteristics. RESULTS: In a final sample of 12,005,453 observations (total Veteran months) on 353,485 individual Veterans, 18.4% lived in high-deprivation neighborhoods (ADI greater than 80). Mean monthly probability of new HBPC enrollment was 0.0061. Controlling for clinical characteristics, housing instability, and distance from the medical center, Veterans residing in high-deprivation neighborhoods were 1.4% to 14.8% less likely to enroll in HBPC, though the association was not statistically significant. CONCLUSIONS: More research is needed to determine the relationship between Veterans' social needs and HBPC enrollment.

Social work and telehealth: How Patient Aligned Care Team (PACT) social workers in the Veterans Health Administration responded to COVID-19.

In March 2020, the Veterans Health Administration (VA) responded to pandemic shutdowns with a rapid pivot toward providing services via telehealth. Using data on Veterans who received interventions from social workers between 2019 and 2020 at sites that participated in a national program to increase social work staffing in primary care, we examined changes in frequency and modality of social work encounters that occurred with the onset of the COVID-19 pandemic. We found that primary care social workers maintained a consistent level of engagement, with increases in telephone and video telehealth encounters as in-person visits decreased. Through front-line perspectives, we discuss the practical innovations and policies that enabled those changes in care from VA primary care social workers.

Metformin is Associated with Decreased 30-Day Mortality Among Nursing Home Residents Infected with SARS-CoV2.

OBJECTIVES: The COVID-19 pandemic presents an urgent need to investigate whether existing drugs can enhance or even worsen prognosis; metformin, a known mammalian target of rapamycin (m-TOR) inhibitor, has been identified as a potential agent. We sought to evaluate mortality benefit among older persons infected with SARS-CoV-2 who were taking metformin as compared to those who were not. DESIGN: Retrospective cohort study. SETTING AND PARTICIPANTS: 775 nursing home residents infected with SARS-CoV-2 who resided in one of the 134 Community Living Centers (CLCs) of the Veterans Health Administration (VHA) during March 1, 2020, to May 13, 2020, were included. METHODS: Using a window of 14 days prior to SARS-CoV-2 testing, bar-coded medication administration records were examined for dispensing of medications for diabetes. The COVID-19-infected residents were divided into 4 groups: (1) residents administered metformin alone or in combination with other medications, (2) residents who used long-acting or daily insulin, (3) residents administered other diabetes medications, and (4) residents not administered diabetes medication, including individuals without diabetes and patients with untreated diabetes. Proportional hazard models adjusted for demographics, hemoglobin A1c, body mass index, and renal function. RESULTS: Relative to those not receiving diabetes medications, residents taking metformin were at significantly reduced hazard of death [adjusted hazard ratio (HR) 0.48, 95% confidence interval (CI) 0.28, 0.84] over the subsequent 30 days from COVID-19 diagnosis. There was no association with insulin (adjusted HR 0.99, 95% CI 0.60, 1.64) or other diabetes medications (adjusted HR 0.71, 95% CI 0.38, 1.32). CONCLUSIONS AND IMPLICATIONS: Our data suggest a reduction in 30-day mortality following SARS-CoV-2 infection in residents who were on metformin-containing diabetes regimens. These findings suggest a relative survival benefit in nursing home residents on metformin, potentially through its mTOR inhibition effects. A prospective study should investigate the therapeutic benefits of metformin among persons with COVID-19.

Temperature in Nursing Home Residents Systematically Tested for SARS-CoV-2.

OBJECTIVES: Many nursing home residents infected with SARS-CoV-2 fail to be identified with standard screening for the associated COVID-19 syndrome. Current nursing home COVID-19 screening guidance includes assessment for fever, defined as a temperature of at least 38.0°C. The objective of this study was to describe the temperature changes before and after universal testing for SARS-CoV-2 in nursing home residents. DESIGN: Cohort study. SETTING AND PARTICIPANTS: The Veterans Administration (VA) operates 134 Community Living Centers (CLC), similar to nursing homes, that house residents who cannot live independently. VA guidance to CLCs directed daily clinical screening for COVID-19 that included temperature assessment. MEASURES: All CLC residents (n = 7325) underwent SARS-CoV-2 testing. We report the temperature in the window of 14 days before and after universal SARS-CoV-2 testing among CLC residents. Baseline temperature was calculated for 5 days before the study window. RESULTS: SARS-CoV-2 was identified in 443 (6.0%) residents. The average maximum temperature in SARS-CoV-2-positive residents was 37.66 (0.69) compared with 37.11 (0.36) (P = .001) in SARS-CoV-2-negative residents. Temperatures in those with SARS-CoV-2 began rising 7 days before testing and remained elevated during the 14-day follow-up. Among SARS-CoV-2-positive residents, only 26.6% (n = 118) met the fever threshold of 38.0°C during the survey period. Most residents (62.5%, n = 277) with confirmed SARS-CoV-2 did experience 2 or more 0.5°C elevations above their baseline values. One cohort of SARS-CoV-2 residents' (20.3%, n = 90) temperatures never deviated >0.5°C from baseline. CONCLUSIONS AND IMPLICATIONS: A single screening for temperature is unlikely to detect nursing home residents with SARS-CoV-2. Repeated temperature measurement with a patient-derived baseline can increase sensitivity. The current fever threshold as a screening criteria for SARS-CoV-2 infection should be reconsidered.

Embedding Social Workers In Veterans Health Administration Primary Care Teams Reduces Emergency Department Visits.

While an emerging body of evidence suggests that medical homes may yield more benefits than traditional care models do, the role of social workers within medical homes has yet to be evaluated separately. We assessed the impact of an initiative to add social workers to rural primary care teams in the Veterans Health Administration on patients' use of social work services, hospital admissions, and emergency department visits. We found that introducing a social worker increased social work encounters by 33 percent among all veterans who received care. Among high-risk patients, we observed a 4.4 percent decrease in the number of veterans who had any acute hospital admission and a 3.0 percent decrease in veterans who had any emergency department visit, after the introduction of a social worker. Investing in social workers is a key strategy for addressing the social determinants of health and managing care coordination for high-risk, high-need populations.