Search

Studies have shown that COVID-19 vaccination is effective at preventing infection and death in older populations. However, whether vaccination effectiveness is reduced in patients with frailty is unclear. We aimed to compare vaccine effectiveness against hospitalisation and death after COVID-19 during the surge of the delta (B.1.617.2) variant of SARS-CoV-2 according to patients' frailty status.In this retrospective cohort study, we used data derived from the US Veterans Health Administration (VHA) facilities and the US Department of Veterans Affairs (VA) COVID-19 Shared Data Resource, which contains information from the VA National Surveillance Tool, death certificates, and National Cemetery Administration. We included veterans aged 19 years or older who tested positive for SARS-CoV-2 using RT-PCR or antigen tests between July 25 and Sept 30, 2021, with no record of a previous positive test. Deaths were identified through VHA facilities, death certificates, and National Cemetery Administration data available from VA databases. We also retrieved data including sociodemographic characteristics, medical conditions diagnosed at baseline, frailty score, and vaccination information. The primary outcomes were COVID-19-associated hospitalisations and all-cause deaths at 30 days from testing positive for SARS-CoV-2. The odds ratio (OR) for COVID-19-associated hospitalisation and hazard ratio (HR) for death of vaccinated patients compared with the unvaccinated patients were estimated according to frailty categories of robust, pre-frail, or frail. Vaccine effectiveness was estimated as 1 minus the OR for COVID-19-associated hospitalisation, and 1 minus the HR for death.We identified 57 784 veterans (mean age 57·5 years [SD 16·7], 50 642 [87·6%] males, and 40 743 [70·5%] White people), of whom 28 497 (49·3%) were categorised as robust, 16 737 (29·0%) as pre-frail, and 12 550 (21·7%) as frail. There were 2577 all-cause deaths (676 [26·2%] in the vaccinated group and 1901 [73·8%] in the unvaccinated group), and 7857 COVID-19-associated hospitalisations (2749 [35·0%] in the vaccinated group and 5108 [65·0%] in the unvaccinated group) within 30 days of a positive SARS-CoV-2 test. Vaccine effectiveness against COVID-19-associated hospitalisation within 30 days of a positive SARS-CoV-2 test was 65% (95% CI 61-69) in the robust group, 54% (48-58) in the pre-frail group, and 36% (30-42) in the frail group. By 30 days of a positive SARS-CoV-2 test, the vaccine effectiveness for all-cause death was 79% (95% CI 74-84) in the robust group, 79% (75-83) in the pre-frail group, and 68% (63-71) in the frail group.Compared with non-frail patients (pre-frail and robust), those with frailty had lower levels of vaccination protection against COVID-19-associated hospitalisation and all-cause death. Future studies investigating COVID-19 vaccine effectiveness should incorporate frailty assessments and actively recruit older adults with frailty.Miami VA Healthcare System Geriatric Research Education and Clinical Center.

Frailty, a state of vulnerability to stressors resulting from loss of physiological reserve due to multisystemic dysfunction, is common among hospitalized older adults. Hospital clinicians need objective and practical instruments that identify older adults with frailty. The FI-LAB is based on laboratory values and vital signs and may capture biological changes of frailty that predispose hospitalized older adults to complications. The study's aim was to assess the association of the FI-LAB versus VA-FI with hospital and post-hospital clinical outcomes in older adults.Retrospective cohort study was conducted on Veterans aged ≥60 admitted to a VA hospital. We identified acute hospitalizations January 2011-December-2014 with 1-year follow-up. A 31-item FI-LAB was created from blood laboratory tests and vital signs collected within the first 48 h of admission and scores were categorized as low (0.25), moderate (0.25-0.40), and high (0.40). For each FI-LAB group, we obtained odds ratio (OR) and confidence intervals (CI) for hospital and post-hospital outcomes using multivariate binomial logistic regression. Additionally, we calculated hazard ratios (HR) and CI for all-cause in-hospital mortality comparing the high and moderate FI-LAB group with the low group.Patients were 1407 Veterans, mean age 72.7 (SD = 9.0), 67.8% Caucasian, 96.1% males, 47.0% (n = 661), 41.0% (n = 577), and 12.0% (n = 169) were in the low, moderate, and high FI-LAB groups, respectively. Moderate and high scores were associated with prolonged LOS, OR:1.62 (95% CI:1.29-2.03); and 3.36 (95% CI:2.27-4.99), ICU admission, OR:1.40 (95% CI:1.03-1.90); and OR:2.00 (95% CI:1.33-3.02), nursing home placement OR:2.36 (95% CI:1.26-4.44); and 5.99 (95% CI:2.83-12.70), 30-day readmissions OR:1.74 (95% CI:1.20-2.52); and 2.20 (95% CI:1.30-3.74), 30-day mortality OR: 2.51 (95% CI:1.01-6.23); and 8.97 (95% CI:3.42-23.53), 6-month mortality OR:3.00 (95% CI:1.90-4.74); and 6.16 (95% CI:3.55-10.71), and 1-year mortality OR: 2.66 (95% CI:1.87-3.79); and 4.76 (95% CI:3.00-7.54) respectively. The high FI-LAB group showed higher risk of in-hospital mortality, HR:18.17 (95% CI:4.01-80.52) with an area-under-the-curve of 0.843 (95% CI:0.75-0.93).High and moderate FI-LAB scores were associated with worse in-hospital and post-hospital outcomes. The FI-LAB may identify hospitalized older patients with frailty at higher risk and assist clinicians in implementing strategies to improve outcomes.

Frailty, a clinical syndrome characterized by vulnerability to stressors resulting from multisystemic loss of physiological reserve. The use of benzodiazepines in older adults has been associated with confusion, sedation, and cognitive impairment, which in turn may lead to frailty.The purpose of this study was to determine the cross-sectional association between frailty and chronic past or current use of benzodiazepine drugs among older US Veterans.This is a cross-sectional study of community-dwelling older Veterans who had determinations of frailty. Benzodiazepine prescription data were obtained via EHR. A 31-item VA Frailty Index (VA-FI) was generated at the time of the assessment. We categorized Veterans into robust (FI ≤ 0.10), pre-frail (FI 0.10-0.21), and Frail (FI ≥ 0.21). After adjusting for sociodemographic characteristics, we calculated ORs and 95% CIs using a binomial logistic regression (BLR) model to assess the cross-sectional association between benzodiazepine use and frailty.Population sample consisted of 17,423 Veterans, mean age 75.53 (SD = 8.03) years, 70.80% Caucasian, 97.34% male, 14,545 (83.50%) patients were non-users of benzodiazepine drugs, 2408 (13.80%) had a past use, and 470 (2.70%) were current users. In BLR, individuals with past (OR 2.51, 95% CI 2.30-2.74, p .001) or current (OR 2.36, 95% CI 1.96-2.83, p .001) use showed a higher association with frailty as compared to individuals who were non-users.The use of benzodiazepine was cross-sectionally associated with frailty in older Veterans. These results suggest that screening for frailty in patients with past or current exposure to benzodiazepine medications may be necessary for proper management.

Objectives: Determine the association between frailty and immediate survival of cardiopulmonary resuscitation (CPR) in older Veterans. Secondary outcomes: compare in-hospital mortality, duration of resuscitation efforts, hospital and intensive care unit (ICU) length of stay, neurologic outcomes, and discharge disposition between frail and non-frail Veterans. Methods: Retrospective cohort study including Veterans 50 years and older, who were “Full Code” and had in-hospital cardiac arrest between 7/1/2017 and 6/30/2020, at the Miami VAMC. Frailty Index for the VA (VA-FI) was used to determine frailty status. Immediate Survival was determined by return of spontaneous circulation (ROSC) and in-hospital mortality was determined by all-cause mortality. We compared outcomes between frail and non-frail Veterans using chi-square test. After adjusting for age, gender, race, and previous hospitalizations, we used multivariate binomial logistic regression with 95% confidence intervals to analyze the relationship between immediate survival and frailty, and in-hospital mortality and frailty. Results: 91% Veterans were non-Hispanic, 49% Caucasian, 96% male, mean age 70.7 ± 8.5 years, 73% frail and 27% non-frail. Seventy-six (65.5%) Veterans had ROSC, without difference by frailty status ( P = .891). There was no difference based on frailty status of in-hospital mortality, discharge disposition, or neurologic outcomes. Frail and non-frail Veterans had resuscitation efforts lasting the same amount of time. Conclusions and Implications: CPR outcomes were not different depending on frailty status in our Veteran population. With these results, we cannot use frailty – as measured by the VA-FI - as a prognosticator of CPR outcomes in Veterans.

OBJECTIVES Determine the incidence rates of frailty among community-dwelling older veterans. DESIGN Population-based retrospective cohort study. SETTING AND PARTICIPANTS Veterans Health Administration Medical Center study included community-dwelling veterans 60 years and older with determinations of frailty from 2013 to 2014 and followed until September 2019. METHODS A 31-item frailty index was generated at baseline and during each subsequent primary care encounters as a proportion of potential variables from electronic health record data. Period prevalence was calculated by dividing total number of cases of frailty during the baseline period. After adjusting for covariates, the association of frailty with mortality was determined using a multivariate Cox regression model. Using baseline and follow-up data, incidence rates of frailty per 1000 person/years based on event rates and mean duration of follow-up were calculated, including survivor and entire cohorts. RESULTS Patients in this cohort were 16,761 veterans, mean age 72.18 (9.32) years, 74.00% Caucasian, 90.75% non-Hispanic, and 97.78% male. The period prevalence of frailty in this cohort was 20.84%. Over a median follow-up of 3.96 (interquartile range = 3.73) years, 25.86% of the baseline population died during follow up. Veterans with frailty had a higher all-cause mortality during follow up, adjusted hazard ratio = 3.12 (95% confidence interval 2.87-3.38), P value of < .0005. Among 10,513 veterans who survived a median follow-up of 4.81 (interquartile range = 3.12) years, 29.84% became frail. The incidence rate of frailty was 75.05 cases per 1000 person-years. Among the entire cohort of 13,268 nonfrail veterans, 29.93% became frail. The incidence rate of frailty was 84.03 cases per 1000 person-years. CONCLUSIONS AND IMPLICATIONS This study shows high incidence of frailty in community dwelling older US veterans. Future studies should be done for identification, implementation of adequate interventions aimed at preventing frailty or reducing frailty-related complications in community dwelling older individuals.

Anticholinergic drugs may contribute to frailty by impairing cognitive and physical functions. Strong anticholinergic drugs in particular may have adverse effects among older adults. Determine the association between frailty and the use of strong anticholinergic drugs among older US Veterans. This is a cross-sectional study of community-dwelling Veterans 65 years and older who had determinations of frailty status. Prescription data for patients using strong anticholinergic medications (never/past/current) was obtained via electronic health records. A 31-item VA Frailty Index (VA-FI) was generated at the time of the assessment. We dichotomized the groups into non-frail (FI =

Objectives To determine whether health literacy, numeracy, and graph literacy are associated with all-cause hospitalizations or mortality in community-dwelling veterans. Study design Retrospective cohort study. Methods A total of 470 community-dwelling veterans underwent evaluations of health literacy, numeracy, and graph literacy with validated instruments in 2012 and were followed until 2018. At the end of follow-up, the associations with all-cause hospitalizations and mortality were determined with the Andersen-Gill model and Cox regression multivariate analysis, respectively. Results There were no associations of health literacy, numeracy, or graph literacy with all-cause hospitalization or mortality after multivariate adjustment. In subgroup analysis, subjective numeracy was associated with hospitalizations in African Americans. Higher objective and subjective numeracy were associated with future hospitalizations only for those with a history of hospitalization. Higher graph literacy was associated with lower mortality in those with a history of hospitalization. Conclusions This study did not show associations of health literacy, numeracy, or graph literacy scores with lower risk of all-cause hospitalization or mortality. Further research is needed with random sampling in a broader spectrum of healthcare settings to better understand what roles health literacy, numeracy, and graph literacy might play in healthcare utilization and clinical outcomes.

25-hydroxyvitamin D [25(OH)D] deficiency is related to an increase in cardiovascular risk but the association between low 25(OH)D and hospitalization and mortality in heart failure (HF) patients remains unclear. The objective of this study was therefore to determine whether 25(OH)D deficiency is associated with a higher risk of all-cause hospitalizations and mortality in veterans with HF, as well as the differential effect of frailty.A retrospective cohort study of veterans with HF.Association between 25(OH)D deficiency and risk of hospitalization and mortality.25(OH)D status was dichotomized as deficiency (30 ng/mL) and non-deficiency (≥30 ng/mL). A 44-item Frailty Index (FI) was constructed and used to categorize patients as non-frail (FI .21) or frail (FI ≥ .21). The association of 25(OH)D deficiency with recurrent hospitalization was analyzed through an Andersen-Gill model and the association with mortality using Cox regression.We identified 284 patients, of whom 141 (50 %) exhibited 25(OH)D deficiency (67.3 ± 10.5 years of age). The mean 25(OH)D levels in the deficiency and non-deficiency groups were 21.3±5.9 ng/mL and 40.9 ± 10.9 ng/mL, respectively. Over a median follow-up of 1136 days (IQR = 691), there were 617 hospitalizations (68 % in those with 25(OH)D deficiency) and 131 deaths (40 % in those with 25(OH)D deficiency). A significantly higher risk of hospitalization was found in patients with 25(OH)D deficiency: hazard ratio (HR) = 1.8 (95 % CI:1.3-2.5),p 0.001. Frail veterans had a greater risk of hospitalization than non-frail veterans: HR = 1.7 (95 % CI:1.2-2.7),p 0.05. Mortality did not show any significant association with 25(OH)D deficiency.25(OH)D deficiency was an independent risk factor for hospitalization in patients with HF and the effect persisted in those with frailty.

To determine whether metformin is associated with reduced all-cause mortality in older adults with diabetes mellitus as compared with insulin or sulfonylureas, and to evaluate whether the metformin cumulative exposure followed a dose-response relation.Retrospective cohort study with propensity score matching in veterans 65 years old and older with diabetes mellitus. Patients who had new prescriptions for metformin were matched for demographic and clinical factors with patients receiving new prescriptions for insulin or sulfonylureas using propensity score matching. All-cause mortality risks were compared between metformin and insulin/sulfonylureas using multivariate Cox regression models. A similar approach was used for tertiles of cumulative metformin doses.A sample of 174 veterans taking metformin was matched with 174 who took insulin/sulfonylureas. Most patients were men (97.4%), White (80.45%), and their mean ± standard deviation age was 69.15 ± 7.65 years. Metformin exposure was associated with reduced risk of all-cause mortality (hazard ratio 0.57, 95% confidence interval 0.39-0.84,This propensity matching study shows that metformin exposure is associated with a lower risk of all-cause mortality. Higher metformin cumulative exposure seems to reduce the risk of all-cause mortality in older veterans with diabetes mellitus.

e24024 Background: Frailty, a common geriatric condition, is characterized by a vulnerability to stressors caused by multisystem dysfunction associated with poor clinical outcomes. Patients with frailty are often High-Need High-Risk (HNHR), a group with higher levels of healthcare utilization. Cancer diagnosis could increase the incidence of frailty in this group by several mechanisms: immunosenescence, chronic inflammation, potentially harmful effects of therapies and associated comorbidities. The study aim was to determine the cross-sectional association of cancer with frailty status in High Need, High Risk veterans. Methods: This was a cross-sectional study of HNHR Veterans in the Veterans Integrated Service Network 8 identified through quarterly reports run by VA predictive analytic models. We compared Veterans with and without cancer in terms of frailty status, sociodemographic characteristics, substance or alcohol abuse and number of medications. Frailty was defined using a 30-item VA Frailty Index (VA-FI, excluding cancer) generated as a proportion based on the number of items present. We compared non-frail (robust = 0–0.1, and pre-frail = 0.11–0.20), and frail (mild = 0.21–0.30, moderate = 0.31–0.40, and severe = > 0.4). After adjusting for gender, age, alcohol abuse, tobacco abuse and number of medications, we performed a multinomial logistic regression using odds ratios (OR) with 95% confidence intervals (CI) with cancer as the independent variable and frailty status as the dependent variable. Results: A total of 10916 Veterans were included in the analysis, mean age 68.5 (SD = 11.8) years, 93.4% male, 74.7% Caucasian, 18.0% Black, 7.4% Hispanic, 8710 (79.8%) frail and 3641 (36.1%) had Cancer. Of those with cancer, frail = 3358 (85.2%) vs. non-frail = 583 (14.8%) (p < .0001). After multivariate multinomial logistic regression, the presence of cancer was associated with being severely frail as compared to robust, adjusted OR:2.3(95%C.I.:1.8-2.9), p < 0.0001. Conclusions: In this HNHR veteran population, cancer had a positive, cross-sectional association with frailty. Identifying HNHR patients with cancer may assist clinicians in the implementation of targeted clinical interventions that may prevent or reverse frailty status and associated poor clinical outcomes. More research is needed to better determine the impact of cancer on frailty diagnosis.

Background: Atrial fibrillation (AF), the commonest arrhythmia among older adults, is associated with increased mortality. Frailty constitutes a state of vulnerability to stressors resulting from multisystemic loss of physiological reserve. The study aim was to determine whether concurrent frailty and AF increases all-cause mortality in older Veterans. Methods: Retrospective cohort study of community-dwelling Veterans 60 years and older identified as having baseline AF (ICD codes) or frailty through a 30-item VA Frailty Index (VA-FI). The VA-FI was generated as a proportion of morbidity, function, sensory loss, cognition/mood and other variables. The VA-FI categorized Veterans into non-frail (robust FI≤.10, prefrail FI=>.10, Results: A total of 16391 Veterans were included, mean age 72.06 (SD=9.23) years 74.2% White, 86.7% non-Hispanic, and 97.9% male. There were 1534 (9.4%) Veterans with AF and the proportion of robust, pre-frail and frail patients was 44.3% (n=7255), 37.2% (n=6095) and 18.6% (n=3041) respectively. The 4 resulting groups were NoAF-F (12357, 75.4%), AF (993, 6.1%), F (2500, 15.3%) and AF-F (541, 3.3%). Over a median follow-up of 2025 days (IQR=245) 3917 deaths occurred. As compared with NoAF-F, AF-F, F and AF in that order had higher all-cause mortality, adjusted hazard ratio (HR)=3.24 (95%CI:2.88-3.66), p Conclusions: The combination of AF and frailty at baseline represents the group with highest risk for all-cause mortality in older Veterans. Further studies may be needed to assess the impact on mortality of clinical interventions targeting both conditions.

Anticholinergic drugs may contribute to frailty by impairing cognitive and physical functions. Strong anticholinergic drugs in particular may have adverse effects among older adults.Determine the association between frailty and the use of strong anticholinergic drugs among older US Veterans.This is a cross-sectional study of community-dwelling Veterans 65 years and older who had determinations of frailty status. Prescription data for patients using strong anticholinergic medications (never/past/current) was obtained via electronic health records. A 31-item VA Frailty Index (VA-FI) was generated at the time of the assessment. We dichotomized the groups into non-frail (FI = 0.21) and frail (FI ≥ 0.21) patients. We used binomial logistic regression to calculate odds ratios (ORs) and 95% confidence intervals (CIs). Frailty was the dependent variable and use of strong anticholinergic drugs was the independent variable. Multivariate adjustment was conducted for age, gender, race, ethnicity, marital status, and BMI.Population sample consisted of 17,084 Veterans who were 71.05% Caucasian, 97.34% male, and with a mean age 75.60 (SD = 8.04) years. Among the population, 9940 (58.18%) patients had no previous use of strong anticholinergic drugs, whereas 5182 (30.33%) had past exposure and 1962 (11.49%) had current exposure. In binomial logistic regression, individuals with past (OR 3.27, 95% CI 3.03-3.54, p 0.0005) or current (OR 4.78, 95% CI 4.30-5.31, p 0.0005) exposure showed a higher association with frailty as compared to individuals who were never exposed.Past and current use of strong anticholinergic drugs were associated with frailty in older Veterans. These results suggest that screening for frailty in patients with past or current exposure to strong anticholinergic medications may be necessary for proper management.

Background: Diabetes (DM) is associated with an accelerated aging that promotes frailty, a state of vulnerability to stressors, characterized by multisystem decline that results in diminished intrinsic reserve and is associated with morbidity, mortality and utilization. Research suggests a bidirectional relationship between frailty and diabetes. Frailty is associated with mortality in patients with diabetes, but its prevalence and impact on hospitalizations are not well known. Objectives: Determine the association of frailty with all-cause hospitalizations and mortality in older Veterans with diabetes. Design: Retrospective cohort. Setting: Outpatient. Participants: Veterans 65 years and older with diabetes who were identified as frail through calculation of a 44-item frailty index. Measurements: The FI was constructed as a proportion of healthcare variables (demographics, comorbidities, medications, laboratory tests, and ADLs) at the time of the screening. At the end of follow up, data was aggregated on all-cause hospitalizations and mortality and compared non-frail (robust, FI≤ .10 and prefrail FI=>.10

Introduction Mild cognitive impairment (MCI) and dementia are characterized by objective deficits in several cognitive domains. These cognitive disorders are prevalent in the fast-growing older population worldwide. There are several modifiable and non-modifiable risk factors for these cognitive disorders. Research has shown that the African American race is predictive of incident dementia. However, the African-American race is confounded by other risk factors which may explain much of the racial disparity in cognitive disorders, most notably education, socio-economic status and lack of access. The aim of this study was to compare the prevalence of MCI and Dementia between African-American and Caucasian community-dwelling older Veterans after matching of baseline characteristics. Methods We conducted a cross-sectional study using propensity score matching (PSM) among community-dwelling Veterans aged ≥50 years enrolled in VA primary care clinics from July 1, 2019 to May 31, 2020. Participants with baseline dementia diagnosis were excluded. Patients received mailed questionnaires including sociodemographic, information about exercise, education and an assessment of cognitive status using the validated Self-Administered Gerocognitive Examination (SAGE). We complemented the information with data from the electronic health records (EHR). To assess frailty, we used a 31-item VA Frailty Index (VA-FI) generated from claims-based data matched to the study date. The VA-FI categorizes patients into robust ( Results We obtained a response rate of 19.75% (n =1073) out of 5,432 mailed surveys. After propensity score matching of those Veterans who responded, 202 Caucasians and 202 African-Americans were selected and compared. Participants had a mean age of 68.57(SD=7.9) years, 50.2% were married, 90.6% non-Hispanic and 96% male. Almost all patients had achieved at least 10 years of education (91.8%), 39.9% were obese and 34.9% had OSA. The mean ADI score was 98.29 (SD=20.16) and 37.9% were found to be in the high ADI tertile. Regarding frailty status, 23.5%, 36.1%, and 40.3% were robust, pre-frail and frail respectively. After matching, all the baseline clinical characteristics were comparable between the two groups. Using a Chi-Square test after PSM, we found that the proportions of MCI (43.8%) and Dementia (40.3%) in Caucasian patients were not significantly different from that of African-Americans (MCI=56.3%, Dementia=59.7%), p=.087. Conclusions This study results suggest that race alone is not independently associated with MCI or Dementia. Even though some studies have shown that African-Americans are more likely to develop cognitive impairment, this association may be due to other socio-demographic factors that are more prevalent in the African-American population. Funding Bruce W. Carter VA Medical Center - Geriatric Research, Education and Clinical Center (GRECC)

OBJECTIVES Thirty-day readmissions are common, serious, and costly. Most important, often they are preventable. The purpose of this quality improvement study was to evaluate an interdisciplinary, two-phase intervention to reduce 30-day readmissions among high-risk medical patients. One or two high-risk patients were selected each weekday by a hospitalist using literature-based, locally tested criteria that included common medical illnesses, active psychiatric illness, and recent or recurrent hospital admissions. METHODS Patients admitted to 1 of 5 medical hospitalist teams were selected to receive the intervention; patients admitted to the 4 remaining teams were used for comparison. The two-phase care coordination intervention consisted of a daily interdisciplinary team meeting for the selected high-risk patients and postdischarge interventions that included outpatient care coordination until the patients' first follow-up appointment. The care plan addressed medical/geriatric assessment, social stability, medication reconciliation, nutritional needs, care coordination including future appointments/testing, and community services. Eighty-five patients in the intervention group were compared with 84 patients from the comparison group using propensity score matching. Patient characteristics were similar at baseline. RESULTS The intervention group demonstrated a reduction in 30-day readmissions by 52% (11 vs 23, P = 0.019). Length of stay was reduced: 5.5 days compared with 7.2 days (P = 0.258). CONCLUSIONS This intervention produced a significant reduction in 30-day readmissions for high-risk patients and a trend for shorter lengths of stay compared with similarly matched patients. Future research trials are needed to verify these results.

OBJECTIVES Frailty is a prevalent clinical syndrome associated with a high risk of adverse health outcomes, including disability, morbidity, and mortality, that has become a major challenge for the healthcare system. The aim of this prospective study was to determine the level of healthcare utilization in prefrail and frail community-dwelling older military veterans. METHODS We studied a cohort of community-dwelling older veterans aged 65 years and older 1 year at the Miami Veterans Affairs Medical Center to determine their levels of healthcare utilization. We administered the 5-item FRAIL (Fatigue, Resistance, Ambulation, Illnesses, & Loss of Weight) scale, from which patients were categorized into three groups: robust, prefrail, and frail. Chart reviews were conducted to confirm weight loss and number of illnesses. One year later, information regarding hospital admissions, emergency department (ED) visits, and primary care visits was obtained. RESULTS We evaluated 291 participants, mean age 74 ± 8 years, 112 (38.5%) of whom were African American, 179 (61.5%) were white, and 40 (13.7%) were Hispanic. Overall, 49 (16.8%) participants were frail, and 161 (55.4%) prefrail. After adjusting for age and Charlson Comorbidity Index, frail status was associated with ED admission (odds ratio [OR] 2.7, 95% confidence interval [CI] 1.2-6.1) and primary care visits (OR 3.4, 95% CI 1.5-7.3); however, it was not significantly associated with hospital admission (OR 2.2, 95% CI 0.9-5.2). CONCLUSIONS In a sample of community-dwelling older veterans, frailty was found to be significantly associated with an increased frequency of ED visits and primary care visits, but not with hospital admissions. Identifying patients with frailty may allow for targeted interventions that improve healthcare outcomes and may reduce healthcare utilization.

Background Frailty is defined as a state of vulnerability to stressors that is associated with higher morbidity, mortality and healthcare utilization in older adults. Ageism is “a process of systematic stereotyping and discrimination against people because they are old.” Explicit biases involve deliberate or conscious controls, while implicit bias involve unconscious processes. Multiple studies show that self-directed ageism is a risk factor for increased morbidity and mortality. The purpose of this study was to determine whether explicit ageist attitudes are associated with frailty in Veterans. Methods This is a cross-sectional study of Veterans 50 years and older who completed the Kogan’s Attitudes towards Older People Scale (KAOP) scale to assess explicit ageist attitudes and the Implicit Association Test (IAT) to evaluate implicit ageist attitudes from July 2014 through April 2015. We constructed a frailty index (FI) of 44 variables (demographics, comorbidities, number of medications, laboratory tests, and activities of daily living) that was retrospectively applied to the time of completion of the KAOP and IAT. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by multinomial logistic regression models with frailty status (robust, prefrail and frail) as the outcome variable, and with KAOP and IAT scores as the independent variables. Age, race, ethnicity, median household income and comorbidities were considered as covariates. Results Patients were 89.76% male, 48.03% White, 87.93% non-Hispanic and the mean age was 60.51 (SD = 7.16) years. The proportion of robust, pre-frail and frail patients was 11.02% (n = 42), 59.58% (n = 227) and 29.40% (n = 112) respectively. The KAOP was completed by 381 and the IAT by 339 participants. In multinomial logistic regression, neither explicit ageist attitudes (KAOP scale score) nor implicit ageist attitudes (IAT) were associated with frailty in community dwelling Veterans after adjusting for covariates: OR = .98 (95% CI = .95–1.01), p = .221, and OR:=.97 (95% CI = .37–2.53), p = .950 respectively. Conclusions This study shows that neither explicit nor implicit ageist attitudes were associated with frailty in community dwelling Veterans. Further longitudinal and larger studies with more diverse samples and measured with other ageism scales should evaluate the independent contribution of ageist attitudes to frailty in older adults.

Frailty is a state of vulnerability to stressors resulting in higher morbidity, mortality, and utilization in older adults. Frailty and type 2 diabetes mellitus share similar pathophysiological mechanisms which metformin may target. The purpose of this study was to determine whether exposure to metformin is associated with frailty in veterans. This is a cross-sectional study of veterans 65 years and older with type 2 diabetes who were screened for frailty between January 2016 and August 2017. We constructed a 44-item Frailty Index including multiple variables using a deficit accumulation framework. After adjustment for covariates, the association was calculated using binomial logistic regression models with frailty status as the outcome variable, and metformin exposure as the independent variable. Patients were 98.3% male and 56.7% White with a mean age of 72.9 ( SD = 6.8) years. The proportion of robust, prefrail and frail patients was 2.9% ( n = 22), 46.7 % ( n = 356) and 50.5% ( n = 385), respectively. In binomial logistic regression, exposure to metformin was associated with lower risk for frailty, adjusted odds ratio (OR) = .55 (95% confidence interval [CI] = .39–.77), p ≤ .001. This study shows that exposure to metformin was associated with lower risk for frailty in community-dwelling veterans.

Diabetes mellitus (DM) may promote accelerated aging fostering the development of frailty, a state of vulnerability to stressors resulting in higher morbidity, mortality and healthcare utilization, particularly among Veterans. Metformin may reduce the development of frailty by decreasing inflammation and insulin resistance. The aim of this study was to determine whether metformin is associated with a lower risk of frailty in older Veterans with DM. In a cross-sectional study, we evaluated 775 Veterans, 56.4% white, 77% non-Hispanic, 98.1% male, mean age was 72.73 (SD=6.83) years. Frailty was assessed using a 44-item frailty index (FI), which was constructed using the following variables: socio-demographic, medical and psychological comorbidities, number of medications, laboratory tests, and activities of daily living. Most patients were frail (FI≥0.21, n=393, 50.7%), followed by pre-frail (0.10> FI Disclosure J. Ferri Guerra: None. R. Milyani: None. R. Aparicio-Ugarriza: None. A. Shah: None. S. Potluri: None. P. Bharatula: None. W. Valencia: None. H. Florez: None. J.G. Ruiz: None. Funding Miami VA Healthcare System Geriatric Research Education and Clinical Center

INTRODUCTION Frailty is a state of vulnerability to stressors resulting in higher morbidity, mortality, and utilization in older adults. Depression and frailty often coexist, suggesting a bidirectional relationship that may increase the effects of each individual condition on clinical outcomes and health-care utilization in older adults. OBJECTIVE To determine the effects of concurrent frailty and depression on all-cause hospitalizations. METHODS/DESIGN Prospective cohort study, conducted at a Veterans Affairs (VA) Medical Center. The participants were male, community-dwelling veterans 65 years and older. From 4 January through 30 December 2016, a 46-item frailty index was generated from data obtained from the VA electronic health record. Trained staff conducted in-depth reviews of electronic health records ascertaining depression status. Patients were followed through 31 December 2017 for all-cause hospitalizations following the initial assessment of frailty. After adjusting for covariates, the association of frailty and depression with all-cause hospitalizations was determined with the Andersen-Gill model, accounting for repeated hospitalizations. RESULTS Five hundred fifty-three male patients were part of the study, mean age 76.3 (SD = 8.2) years. One hundred eighty-one patients (32.7%) had depression diagnoses. During a median follow-up period of 530 days (interquartile range [IQR] = 245), 123 patients (22.2%) had 240 hospitalizations. Frailty status was not associated with future hospitalizations (adjusted hazard ratio [HR] = 1.61; 95% CI, 95-2.74; P > .05). Depression was associated with higher all-cause hospitalizations (adjusted HR = 1.57; 95% CI, 1.09-2.26); P = .0157). CONCLUSIONS Depression but not frailty was significantly associated with higher rates of all-cause hospitalization. Implementing interventions that target older adults with both frailty and depression may reduce the burden of both conditions and reduce hospitalizations.

Frailty is a state of vulnerability to stressors which may result in high mortality, morbidity, and health-care utilization in older adults. Whether health literacy, graph literacy and numeracy are associated with frailty is unknown. To assess the association of health literacy, numeracy and graph literacy with frailty in male veterans. This is a retrospective study of 470 cognitively intact, non-depressed veterans who completed evaluations of health literacy, numeracy and graph literacy at Miami VA facility in 2012. A 43-item frailty index was created as a proportion of all potential variables (demographics, comorbidities, number of medications, laboratory tests, and activities of daily life). Odds ratios and 95% confidence intervals were calculated by multinomial logistic regression models with frailty status (robust, prefrail and frail) as the outcome variable, and with health literacy, numeracy, and graph literacy scores as independent variables. Age, race, ethnicity, education, socio-economic status, and comorbidities were considered as covariates. Patients were 100% male, 40% White, 82% non-Hispanic, mean age was 56.8 years. The proportion of robust, pre-frail and frail was 10.0%, 61.3% and 28.7%, respectively. Neither health literacy nor objective nor subjective numeracy was associated with frailty after adjustment for covariates. In contrast, higher graph literacy scores were associated with a lower risk for frailty (p = .015) even after adjusting known risk factors for frailty. Neither health literacy nor numeracy is associated with frailty. Higher graph literacy score is associated with a lower risk for frailty even after adjusting for known risk factors for frailty.

This pilot 3-month clinical trial investigated the feasibility, effectiveness, and acceptability of using the Track Health function of the Veterans Health Administration’s personal health record for eliciting a more positive physical activity and dietary intake lifestyle in a sample of 38 overweight and obese Veterans with prediabetes. Comparisons between baseline and 3 months post-intervention indicated significant improvements in weight, physical activity, abdominal circumference, and blood pressure. Use of a personal health record that users can identify with and find usable and useful coupled with instruction targeting critical functionalities could potentially promote healthy behavioral lifestyle changes.

Personal health records (PHRs) are intended to increase patients' access to and ownership over their health care information for self-management purposes. The purpose of this study was to determine the association of graph literacy with adoption of an online PHR and, among adopters with self-reported skills, the frequency of use and intent to return to use the PHR . We conducted a cross-sectional survey of veterans receiving outpatient care. We measured health literacy, numeracy, graph literacy, and Internet and PHR adoption and use. We compared subgroups of veterans using analyses of covariance. We used hierarchical logistic regression models to estimate the effects of the literacy variables on PHR use. A total of 600 veterans (age = 22-94) participated in the survey. After we adjusted for known covariates, we found that adopters of a PHR were more likely to demonstrate higher health and graph literacy than nonadopters. Among PHR adopters, self-reported frequent and skillful users were more likely to have higher graph literacy than lower frequency and less skillful users. Adopters with higher intentions to return to use the PHR were more likely to show lower graph literacy than those less likely to return to use the PHR. Inadequate graph literacy was associated with lower adoption of a PHR and, among users, with lower self-reported frequent use and skills . As PHR use becomes more widespread, stakeholders will need to consider patients' levels of graph literacy when implementing PHRs.