Faculty Bibliography

BACKGROUND:Little is known about the prevalence and prognostic impact of preexisting frailty on acute care and in-hospital outcomes in older adults in the setting of acute myocardial infarction (AMI). METHODS:Preexisting frailty was assessed at baseline in consecutive AMI patients ≥65 years of age treated at 778 hospitals participating in the NCDR ACTION Registry between January 1, 2015 to December 31, 2016. Three domains of preexisting frailty (cognition, ambulation, and functional independence) were abstracted from chart review and summed in 2 ways: an ACTION Frailty Scale based on responses to 6 groups adapted from the Canadian Study of Health and Aging Clinical Frailty Scale and an ACTION Frailty Score derived by summing a rank score of 0-2 assigned for each grade (total ranged between 0 to 6). Multivariable logistic regression examined the association between assigned frailty by score or scale and in-hospital mortality. RESULTS:Among 143,722 older AMI patients, 108,059 (75.2%) were fit and/or well and 6,484 (4.5%) were vulnerable to frailty, while 7,527 (5.2%) had mild, 3,913 (2.7%) had moderate, 2,715 had (1.9%) severe, and 632 (0.4%) had very severe frailty according to the ACTION Frailty Scale, while 14,392 (10.0%) could not be categorized due to incomplete ascertainment. Frail patients were older, more frequently female, of non-white race and/or ethnicity, and less likely to be treated with guideline-recommended therapies. Increasing severity of frailty by this scale was associated with a step-wise higher risk for in-hospital mortality (P-trend < .001). Patient categories of the ACTION Frailty Score provided similar results. After adjustment, each 1-unit increase in Frailty Score was associated with a 12% higher mortality risk (OR 1.12, 95% CI 1.10-1.15). CONCLUSIONS:Among older patients with acute myocardial infarction, frailty is common and independently associated with in-hospital mortality. These findings show the importance of pragmatic evaluation of frailty in hospital-level quality scores, guideline recommendations, and incorporation into other registry data collection efforts.

BACKGROUND:Participation in ambulatory cardiac rehabilitation remains low, especially among older adults. Although mobile health cardiac rehabilitation (mHealth-CR) provides a novel opportunity to deliver care, age-specific impairments may limit older adults' uptake, and efficacy data are currently lacking. OBJECTIVE:This study aims to describe the design of the rehabilitation using mobile health for older adults with ischemic heart disease in the home setting (RESILIENT) trial. METHODS:RESILIENT is a multicenter randomized clinical trial that is enrolling patients aged ≥65 years with ischemic heart disease in a 3:1 ratio to either an intervention (mHealth-CR) or control (usual care) arm, with a target sample size of 400 participants. mHealth-CR consists of a commercially available mobile health software platform coupled with weekly exercise therapist sessions to review progress and set new activity goals. The primary outcome is a change in functional mobility (6-minute walk distance), which is measured at baseline and 3 months. Secondary outcomes are health status, goal attainment, hospital readmission, and mortality. Among intervention participants, engagement with the mHealth-CR platform will be analyzed to understand the characteristics that determine different patterns of use (eg, persistent high engagement and declining engagement). RESULTS:As of December 2021, the RESILIENT trial had enrolled 116 participants. Enrollment is projected to continue until October 2023. The trial results are expected to be reported in 2024. CONCLUSIONS:The RESILIENT trial will generate important evidence about the efficacy of mHealth-CR among older adults in multiple domains and characteristics that determine the sustained use of mHealth-CR. These findings will help design future precision medicine approaches to mobile health implementation in older adults. This knowledge is especially important in light of the COVID-19 pandemic that has shifted much of health care to a remote, internet-based setting. TRIAL REGISTRATION/BACKGROUND:ClinicalTrials.gov NCT03978130; https://clinicaltrials.gov/ct2/show/NCT03978130. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)/UNASSIGNED:DERR1-10.2196/32163.

PURPOSE/OBJECTIVE:Cardiac rehabilitation (CR) is a key aspect of secondary prevention following acute myocardial infarction (AMI). While there is growing evidence of unique benefits of CR in older adults, it remains underutilized. We aimed to examine specific demographic, clinical, and functional factors associated with utilization of CR among older adults hospitalized with AMI. METHODS:Our project used data from the SILVER-AMI study, a nationwide prospective cohort study of patients age ≥75 yr hospitalized with AMI and followed them up for 6 mo after discharge. Extensive baseline data were collected on demographics, clinical and psychosocial factors, and functional and sensory impairments. The utilization of CR was collected by a survey at 6 mo. Backward selection was employed in a multivariable-adjusted logistic regression model to identify independent predictors of CR use. RESULTS:Of the 2003 participants included in this analysis, 779 (39%) reported participating in CR within 6 mo of discharge. Older age, longer length of hospitalization, having ≤12 yr of education, visual impairment, cognitive impairment, and living alone were associated with decreased likelihood of CR participation; receipt of diagnostic and interventional procedures (ie, cardiac catheterization, percutaneous coronary intervention, and coronary artery bypass graft) was associated with increased likelihood of CR participation. CONCLUSIONS:Demographic and clinical factors, as well as select functional and sensory impairments common in aging, were associated with CR participation at 6 mo post-discharge in older AMI patients. These results highlight opportunities to increase CR usage among older adults and identify those at risk for not participating.

OBJECTIVE:Skilled nursing facilities (SNFs) are common destinations after hospitalization for patients with heart failure (HF). Our objective was to determine if patients in SNFs with a primary hospital discharge diagnosis of HF benefit from an HF disease management program (HF-DMP). DESIGN/METHODS:This is a subgroup analysis of multisite, physician and practice blocked, cluster-randomized controlled trial of HF-DMP vs usual care for patients in SNF with an HF diagnosis. The HF-DMP standardized SNF HF care using HF practice guidelines and performance measures and was delivered by an HF nurse advocate. SETTING AND PARTICIPANTS/METHODS:Patients with a primary hospital discharge diagnosis of HF discharged to SNF. METHODS:Composite outcome of all-cause hospitalization, emergency department visits, and mortality were evaluated at 30 and 60 days post SNF admission. Linear mixed models accounted for patient clustering at the physician level. RESULTS:Of 671 individuals enrolled in the main study, 125 had a primary hospital discharge diagnosis of HF (50 HF-DMP; 75 usual care). Mean age was 79 ± 10 years, 53% women, and mean ejection fraction 46% ± 15%. At 60 days post SNF admission, the rate of the composite outcome was lower in the HF-DMP group (30%) compared with usual care (52%) (P = .02). The rate of the composite outcome at 30 days for the HF-DMP group was 18% vs 31% in the usual care group (P = .11). CONCLUSIONS AND IMPLICATIONS/CONCLUSIONS:Patients with a primary hospital discharge diagnosis of HF who received HF-DMP while cared for in an SNF had lower rates of the composite outcome at 60 days. Standardized HF management during SNF stays may be important for patients with a primary discharge diagnosis of HF.

Background: As the number of older adults in the US grows, there is a pressing need to teach medical trainees how to conduct geriatric assessments. GeriKit, a free mobile health (mHealth) app (available for iOS and Android) was designed to guide learners in conducting these assessments. The aim of this study was to understand the app's usability in early adopters.
Method(s): A 9-question validated survey of mHealth app usability was embedded within GeriKit and, through a 7-point Likert scale for each question, measured features of the user experience. A 10th question invited users to offer feedback. All users were eligible to take the survey anonymously. Survey data was analyzed from 12/2020-11/2021.
Result(s): 56 survey responses were received, which were categorized as positive (strongly agree/agree/somewhat agree; like a great deal/like a moderate amount/like a little) and negative/neutral (neither agree nor disagree/somewhat disagree/disagree/strongly disagree; neither like nor dislike/dislike a little/dislike a moderate amount/ dislike a great deal). Notably 53/56 (95%) would use the app again, 55/56 (98%) thought the app was easy to use, and 53/56 (95%) liked the interface (Figure). As feedback, respondents suggested adding a screening tool for medications on the Beer's List and an e-mail feature for assessment results.
Conclusion(s): Data from early adopters of GeriKit demonstrate that that the app was effective in assisting users with performing geriatric assessments

Background: Mobile health cardiac rehabilitation (mHealth-CR) may improve outcomes among older adults with ischemic heart disease, but variable engagement is not yet understood. We therefore analyzed preliminary data from the RESILIENT trial, an ongoing randomized trial of mHealth-CR vs. usual care in patients age >= 65.
Method(s): Data from the first 50 intervention participants were analyzed. Weekly engagement was scored from 0-11 based on exercise completion, therapist communication, video viewing, and BP self-measurement. Participants were classified as high or low engagement based on median engagement scores. Groups were compared by age, sex, social support (living alone), depression (PHQ-8), and Charlson Comorbidity Index (CCI).
Result(s): There was widely varying engagement with mHealth-CR that ranged from nearly zero to nearly perfect engagement (Figure). There were no significant differences between high and low engagement groups based on mean age (72.6 vs. 72.8, P=0.8), sex (76% male vs. 80%, P=0.7), living alone (28% vs. 44%, P=0.2), depression (mean 3.9 vs. 4.6, P=0.5), or comorbidity burden (mean 4.4 vs. 4.8, P=0.3), although the sample size was small.
Conclusion(s): Our early findings show wide variation in mHealth-CR engagement among older adults

BACKGROUND:It is estimated that up to 40% of Alzheimer's Disease and Related Dementias cases can be prevented or delayed by addressing modifiable factors including those that influence vascular risk (hypertension, obesity, smoking, physical activity, diabetes). Prevention may be particularly important in the vascular dementia subtypes. Despite the supporting evidence, the rates of medical therapy to reduce vascular risk are not well described. METHOD/METHODS:We assessed the utilization of statins, aspirin, and blood pressure (BP) medications in adults age ≥65 years cared for at NYU Langone Health, as recorded in the electronic health record. We included two cohorts: cohort 1 included patients who were diagnosed with vascular dementia (VaD) at NYU Langone Barlow Center for Memory Evaluation between January 1, 2015 and June 24, 2019. Cohort 2 extended the inclusion to seniors with VD diagnosis by any NYU Langone physician. Definitions for vascular dementia, the covariates assessed, and medications that we included in each category are shown in Tables 1-3. RESULT/RESULTS:We included 419 and 3745 patients in cohort 1 and cohort 2, respectively. Table 4 shows the characteristics and medication adherence in cohorts 1 and 2. In cohort 1, the prescription rates for statins, aspirin, and BP medications were 66%, 66%, 70%. In cohort 2, the rates for statin, aspirin, and BP medications were 56%, 46%, and 65%, respectively. The differences between prescription rates in cohort 1 and 2 for the three medication groups were statistically significant (p<0.05). CONCLUSION/CONCLUSIONS:Our analysis of the utilization of cardiovascular medications among patients with vascular dementia illuminates potential gaps both among patients who receive care at specialty clinics, as well as the overall population with vascular dementia. The rates of medication utilization are higher for patients under the care of cognitive neurologists. Electronic health records can help identify large cohorts of patients who may benefit from improved access to preventative measures including cardiovascular medications.

Background Sacubitril/valsartan, a first-in-class angiotensin receptor neprilysin inhibitor, received US Food and Drug Administration approval in 2015 for heart failure with reduced ejection fraction (HFrEF). Our objective was to describe the sacubitril/valsartan initiation rate, associated characteristics, and 6-month follow-up dosing among veterans with HFrEF who are renin-angiotensin-aldosterone system inhibitor (RAASi) naïve. Methods and Results Retrospective cohort study of veterans with HFrEF who are RAASi naïve defined as left ventricular ejection fraction (LVEF) ≤40%; ≥1 in/outpatient heart failure visit, first RAASi (sacubitril/valsartan, angiotensin-converting enzyme inhibitor [ACEI]), or angiotensin-II receptor blocker [ARB]) fill from July 2015 to June 2019. Characteristics associated with sacubitril/valsartan initiation were identified using Poisson regression models. From July 2015 to June 2019, we identified 3458 sacubitril/valsartan and 29 367 ACEI or ARB initiators among veterans with HFrEF who are RAASi naïve. Sacubitril/valsartan initiation increased from 0% to 26.5%. Sacubitril/valsartan (versus ACEI or ARB) initiators were less likely to have histories of stroke, myocardial infarction, or hypertension and more likely to be older and have diabetes mellitus and lower LVEF. At 6-month follow-up, the prevalence of ≥50% target daily dose for sacubitril/valsartan, ACEI, and ARB initiators was 23.5%, 43.2%, and 47.1%, respectively. Conclusions Sacubitril/valsartan initiation for HFrEF in the Veterans Administration increased in the 4 years immediately following Food and Drug Administration approval. Sacubitril/valsartan (versus ACEI or ARB) initiators had fewer baseline cardiovascular comorbidities and the lowest proportion on ≥50% target daily dose at 6-month follow-up. Identifying the reasons for lower follow-up dosing of sacubitril/valsartan could support guideline recommendations and quality improvement strategies for patients with HFrEF.

BACKGROUND:Older adults undergoing noncardiac surgery have a high risk of major adverse cardiovascular events (MACE). This study aims to estimate the magnitude of increased perioperative risk, and examine national trends in perioperative MACE following in-hospital noncardiac surgery in older adults compared to middle-aged adults. DESIGN/METHODS:Time-series analysis of retrospective longitudinal data. SETTING/METHODS:The United States Agency for Healthcare Research and Quality National Inpatient Sample (NIS). PARTICIPANTS/METHODS:Hospitalizations for major noncardiac surgery among adults age ≥45 years between January 2004 and December 2014. MEASUREMENTS/METHODS:Inpatient perioperative MACE was defined as a composite of in-hospital death, myocardial infarction (MI), and ischemic stroke. In hospital death was determined from the NIS discharge disposition. MI and ischemic stroke were defined by International Classification of Diseases, Ninth Revision codes. RESULTS:Of an estimated 55,349,978 surgical hospitalizations, 26,423,039 (47.7%) were for adults age 45-64, 14,231,386 (25.7%) age 65-74, 10,621,029 (19.2%) age 75-84 years, and 4,074,523 (7.4%) age ≥85 years. MACE occurred in 1,601,022 surgical hospitalizations (2.9%). Adults 65-74 (2.8%; aOR 1.16, 95% CI 1.14-1.17), 75-84 years (4.5%; aOR 1.30, 95% CI 1.28-1.32), and ≥85 years (6.9%; aOR 1.55, 95% CI 1.52-1.57) had greater risk of MACE than those 45-64 years (1.7%). From 2004 to 2014, MACE declined among adults 65-74 (3.1-2.5%, p < 0.001), 75-85 years (4.9-3.9%, p < 0.001), and ≥85 years (7.7-6.1%, p < 0.001), but was unchanged for adults age 45-64. Declines in MACE were driven by decreased MI and mortality despite increased stroke. CONCLUSION/CONCLUSIONS:Older adults accounted for half of hospitalizations, but experienced the majority of MACE. Older adults had greater adjusted odds of MACE than younger individuals. The proportion of perioperative MACE declined over time, despite increases in ischemic stroke. These data highlight risks of noncardiac surgery in older adults that warrant increased attention to improve perioperative outcomes.