Intravascular Microaxial Left Ventricular Assist Device Manufacturer Payments to Cardiologists and Use of Devices.

This study examines whether payments from a left ventricular assist device manufacturer to cardiologists performing percutaneous coronary intervention were associated with any use of the devices.

Effects of residential socioeconomic polarization on high blood pressure among nursing home residents.

OBJECTIVE: Neighborhood concentration of racial, income, education, and housing deprivation is known to be associated with higher rates of hypertension. The objective of this study is to examine the association between tract-level spatial social polarization and hypertension in a cohort with relatively equal access to health care, a Veterans Affairs nursing home. METHODS: 41,973 long-term care residents aged ≥65 years were matched with tract-level Indices of Concentration at the Extremes across four socioeconomic domains. We modeled high blood pressure against these indices controlling for individual-level cardiovascular confounders. RESULTS: We found participants who had resided in the most disadvantaged quintile had a 1.10 (95% 1.01, 1.19) relative risk of high blood pressure compared to those in the other quintiles for the joint measuring race/ethnicity and income domain. CONCLUSIONS: We achieved our objective by demonstrating that concentrated deprivation is associated with worse cardiovascular outcomes even in a population with equal access to care. Measures that jointly consider economic and racial/ethnic polarization elucidate larger disparities than single domain measures.

Mapping potentially inappropriate medications in older adults using the Anatomical Therapeutic Chemical (ATC) classification system.

BACKGROUND: Potentially inappropriate medications (PIMs) in older adults are medications in which risks often outweigh benefits and are suggested to be avoided. Worldwide, many distinct guidelines and tools classify PIMs in older adults. Collating these guidelines and tools, mapping them to a medication classification system, and creating a crosswalk will enhance the utility of PIM guidance for research and clinical practice. METHODS: We used the Anatomical Therapeutic Chemical (ATC) Classification System, a hierarchical classification system, to map PIMs from eight distinct guidelines and tools (2019 Beers Criteria, Screening Tool for Older Person's Appropriate Prescriptions [STOPP], STOPP-Japan, German PRISCUS, European Union-7 Potentially Inappropriate Medication [PIM] list, Centers for Medicare & Medicaid Services [CMS] High-Risk Medication, Anticholinergic Burden Scale, and Drug Burden Index). Each PIM was mapped to ATC Level 5 (drug) and to ATC Level 4 (drug class). We then used the crosswalk (1) to compare PIMs and PIM drug classes across guidelines and tools to determine the number of PIMs that were index (drug-induced adverse event) or marker (treatment of drug-induced adverse event) drug of prescribing cascades, and (2) estimate the prevalence of PIM use in older adults continuously enrolled with fee-for-service Medicare in 2018 as use cases. Data visualization and descriptive statistics were used to assess guidelines and tools for both use cases. RESULTS: Out of 480 unique PIMs identified, only three medications-amitriptyline, clomipramine, and imipramine and two drug classes-N06AA (tricyclic antidepressants) and N06AB (selective serotonin reuptake inhibitors), were noted in all eight guidelines and tools. Using the crosswalk, 50% of classes of index drugs and 47% of classes of marker drugs of known prescribing cascades were PIMs. Additionally, 88% of Medicare beneficiaries were dispensed ≥1 PIM across the eight guidelines and tools. CONCLUSION: We created a crosswalk of eight PIM guidelines and tools to the ATC classification system and created two use cases. Our findings could be used to expand the ease of PIM identification and harmonization for research and clinical practice purposes.

Medication misuse and overuse in community-dwelling persons with dementia.

BACKGROUND: Persons with dementia (PWD) have high rates of polypharmacy. While previous studies have examined specific types of problematic medication use in PWD, we sought to characterize a broad spectrum of medication misuse and overuse among community-dwelling PWD. METHODS: We included community-dwelling adults aged ≥66 in the Health and Retirement Study from 2008 to 2018 linked to Medicare and classified as having dementia using a validated algorithm. Medication usage was ascertained over the 1-year prior to an HRS interview date. Potentially problematic medications were identified by: (1) medication overuse including over-aggressive treatment of diabetes/hypertension (e.g., insulin/sulfonylurea with hemoglobin A1c < 7.5%) and medications inappropriate near end of life based on STOPPFrail and (2) medication misuse including medications that negatively affect cognition and medications from 2019 Beers and STOPP Version 2 criteria. To contextualize, we compared medication use to people without dementia through a propensity-matched cohort by age, sex, comorbidities, and interview year. We applied survey weights to make our results nationally representative. RESULTS: Among 1441 PWD, median age was 84 (interquartile range = 78-89), 67% female, and 14% Black. Overall, 73% of PWD were prescribed ≥1 potentially problematic medication with a mean of 2.09 per individual in the prior year. This was notable across several domains, including 41% prescribed ≥1 medication that negatively affects cognition. Frequently problematic medications included proton pump inhibitors (PPIs), non-steroidal anti-inflammatory drugs (NSAIDs), opioids, antihypertensives, and antidiabetic agents. Problematic medication use was higher among PWD compared to those without dementia with 73% versus 67% prescribed ≥1 problematic medication (p = 0.002) and mean of 2.09 versus 1.62 (p < 0.001), respectively. CONCLUSION: Community-dwelling PWD frequently receive problematic medications across multiple domains and at higher frequencies compared to those without dementia. Deprescribing efforts for PWD should focus not only on potentially harmful central nervous system-active medications but also on other classes such as PPIs and NSAIDs.

Trends in the Use of Gabapentinoids and Opioids in the Postoperative Period Among Older Adults.

Importance: In response to the opioid epidemic, recommendations from some pain societies have encouraged surgeons to embrace multimodal pain regimens with the intent of reducing opioid use in the postoperative period, including by prescribing gabapentinoids. Objective: To describe trends in postoperative prescribing of both gabapentinoids and opioids after a variety of surgical procedures by examining nationally representative Medicare data and further understand variation by procedure. Design, Setting, and Participants: This serial cross-sectional study of gabapentinoid prescribing from January 1, 2013, through December 31, 2018, used a 20% US Medicare sample. Gabapentinoid-naive patients 66 years or older undergoing 1 of 14 common noncataract surgical procedures performed in older adults were included. Data were analyzed from April 2022 to April 2023. Exposure: One of 14 common surgical procedures in older adults. Main Outcomes and Measures: Rate of postoperative prescribing of gabapentinoids and opioids, defined as a prescription filled between 7 days before the procedure and 7 days after discharge from surgery. Additionally, concomitant prescribing of gabapentinoids and opioids in the postoperative period was assessed. Results: The total study cohort included 494 922 patients with a mean (SD) age of 73.7 (5.9) years, 53.9% of whom were women and 86.0% of whom were White. A total of 18 095 patients (3.7%) received a new gabapentinoid prescription in the postoperative period. Of those receiving a new gabapentinoid prescription, 10 956 (60.5%) were women and 15 529 (85.8%) were White. After adjusting for age, sex, race and ethnicity, and procedure type in each year, the rate of new postoperative gabapentinoid prescribing increased from 2.3% (95% CI, 2.2%-2.4%) in 2014 to 5.2% (95% CI, 5.0%-5.4%) in 2018 (P < .001). While there was variation between procedure types, almost all procedures saw an increase in both gabapentinoid and opioid prescribing. In this same period, opioid prescribing increased from 56% (95% CI, 55%-56%) to 59% (95% CI, 58%-60%) (P < .001). Concomitant prescribing also increased from 1.6% (95% CI, 1.5%-1.7%) in 2014 to 4.1% (95% CI, 4.0%-4.3%) in 2018 (P < .001). Conclusions and Relevance: The findings of this cross-sectional study of Medicare beneficiaries suggest that new postoperative gabapentinoid prescribing increased without a subsequent downward trend in the proportion of patients receiving postoperative opioids and a near tripling of concurrent prescribing. Closer attention needs to be paid to postoperative prescribing for older adults, especially when using multiple types of medications, which can have adverse drug events.

Implications of Under-Reporting Medication Side Effects: Beta-Blockers in Heart Failure as a Case Example.

INTRODUCTION: Perceiving medication side effects but not reporting them to a clinician is common. Patterns of "under-reporting" and their implications are not well described. We aimed to address this gap by examining patterns of under-reporting perceived side effects of beta-blockers among patients with heart failure. METHODS: In 2016, a survey that evaluated medication-taking behavior was administered to 1114 participants (46.5% response rate) from The Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort with prior adjudicated heart failure hospitalization or a heart failure Medicare claim. We examined the results of survey respondents who reported taking a beta-blocker to understand patterns of under-reporting perceived beta-blocker side effects. We defined an under-reporter as a participant who perceived experiencing a side effect from their beta-blocker but did not share it with their clinician (according to survey responses). We conducted a multivariable logistic regression analysis to identify determinants of being an under-reporter. Co-variates included age, sex, race, income, level of education, geographical location, and pill burden. We also examined whether under-reporters differed in self-reported medication adherence and willingness to take additional medication to prevent a future healthcare encounter compared to participants who reported perceived side effects to their clinicians and those who did not experience side effects. RESULTS: Among 310 respondents, 28% (n = 87) were under-reporters. Black race (odds ratio 2.11, confidence interval 1.21-3.67) and education less than college (odds ratio 2.00, confidence interval 1.09-3.67) were associated with being an under-reporter. Self-reported medication adherence was similar between groups (under-reporters: 46.3%; those who reported perceived side effects: 49.4%; those who did not experience side effects: 45.0%); under-reporters were more frequently unwilling to take additional medication to prevent a doctor's visit (18.9% vs 12.1% vs 10.8%), emergency room visit (21.6% vs 13.3% vs 9.9%), and hospitalization (17.6% vs 10.8% vs 9.0%) compared with the other groups. CONCLUSION: We conclude that under-reporting perceived side effects of beta-blockers among adults with heart failure is common, is associated with Black race and low education, and may contribute to patient willingness to take additional medication to prevent future medical encounters.

New psychotropic medication use among Medicare beneficiaries with dementia after hospital discharge.

BACKGROUND: Hospitalizations among people with dementia (PWD) may precipitate behavioral changes, leading to the psychotropic medication use despite adverse outcomes and limited efficacy. We sought to determine the incidence of new psychotropic medication use among community-dwelling PWD after hospital discharge and, among new users, the proportion with prolonged use. METHODS: This was a retrospective cohort study using a 20% random sample of Medicare claims in 2017, including hospitalized PWD with traditional and Part D Medicare who were 68 years or older. The primary outcome was incident prescribing at discharge of psychotropics including antipsychotics, sedative-hypnotics, antiepileptics, and antidepressants. This was defined as new prescription fills (i.e., from classes not used in 180 days preadmission) within 7 days of hospital or skilled nursing facility discharge. Prolonged use was defined as the proportion of new users who continued to fill newly prescribed medications beyond 90 days of discharge. RESULTS: The cohort included 117,022 hospitalized PWD with a mean age of 81 years; 63% were female. Preadmission, 63% were using at least 1 psychotropic medication; 10% were using medications from ≥3 psychotropic classes. These included antidepressants (44% preadmission), antiepileptics (29%), sedative-hypnotics (21%), and antipsychotics (11%). The proportion of PWD discharged from the hospital with new psychotropics ranged from 1.9% (antipsychotics) to 2.9% (antiepileptics); 6.6% had at least one new class started. Among new users, prolonged use ranged from 36% (sedative-hypnotics) to 63% (antidepressants); across drug classes, prolonged use occurred in 51%. Predictors of newly initiated psychotropics included length of stay (≥median vs.

Development and validation of novel multimorbidity indices for older adults.

BACKGROUND: Measuring multimorbidity in claims data is used for risk adjustment and identifying populations at high risk for adverse events. Multimorbidity indices such as Charlson and Elixhauser scores have important limitations. We sought to create a better method of measuring multimorbidity using claims data by incorporating geriatric conditions, markers of disease severity, and disease-disease interactions, and by tailoring measures to different outcomes. METHODS: Health conditions were assessed using Medicare inpatient and outpatient claims from subjects age 67 and older in the Health and Retirement Study. Separate indices were developed for ADL decline, IADL decline, hospitalization, and death, each over 2 years of follow-up. We validated these indices using data from Medicare claims linked to the National Health and Aging Trends Study. RESULTS: The development cohort included 5012 subjects with median age 76 years; 58% were female. Claims-based markers of disease severity and disease-disease interactions yielded minimal gains in predictive power and were not included in the final indices. In the validation cohort, after adjusting for age and sex, c-statistics for the new multimorbidity indices were 0.72 for ADL decline, 0.69 for IADL decline, 0.72 for hospitalization, and 0.77 for death. These c-statistics were 0.02-0.03 higher than c-statistics from Charlson and Elixhauser indices for predicting ADL decline, IADL decline, and hospitalization, and <0.01 higher for death (p < 0.05 for each outcome except death), and were similar to those from the CMS-HCC model. On decision curve analysis, the new indices provided minimal benefit compared with legacy approaches. C-statistics for both new and legacy indices varied substantially across derivation and validation cohorts. CONCLUSIONS: A new series of claims-based multimorbidity measures were modestly better at predicting hospitalization and functional decline than several legacy indices, and no better at predicting death. There may be limited opportunity in claims data to measure multimorbidity better than older methods.

Can markers of disease severity improve the predictive power of claims-based multimorbidity indices?

BACKGROUND: Claims-based measures of multimorbidity, which evaluate the presence of a defined list of diseases, are limited in their ability to predict future outcomes. We evaluated whether claims-based markers of disease severity could improve assessments of multimorbid burden. METHODS: We developed 7 dichotomous markers of disease severity which could be applied to a range of diseases using claims data. These markers were based on the number of disease-associated outpatient visits, emergency department visits, and hospitalizations made by an individual over a defined interval; whether an individual with a given disease had outpatient visits to a specialist who typically treats that disease; and ICD-9 codes which connote more versus less advanced or symptomatic manifestations of a disease. Using Medicare claims linked with Health and Retirement Study data, we tested whether including these markers improved ability to predict ADL decline, IADL decline, hospitalization, and death compared to equivalent models which only included the presence or absence of diseases. RESULTS: Of 5012 subjects, median age was 76 years and 58% were female. For a majority of diseases tested individually, adding each of the 7 severity markers yielded minimal increase in c-statistic (≤0.002) for outcomes of ADL decline and mortality compared to models considering only the presence versus absence of disease. Gains in predictive power were more substantial for a small number of individual diseases. Inclusion of the most promising marker in multi-disease multimorbidity indices yielded minimal gains in c-statistics (<0.001-0.007) for predicting ADL decline, IADL decline, hospitalization, and death compared to indices without these markers. CONCLUSIONS: Claims-based markers of disease severity did not contribute meaningfully to the ability of multimorbidity indices to predict ADL decline, mortality, and other important outcomes.

Prolonged use of newly prescribed gabapentin after surgery.

BACKGROUND: Surgeons have made substantial efforts to decrease postoperative opioid prescribing, largely because it can lead to prolonged use. These efforts include adoption of non-opioid pain medication including gabapentin. Like opioids, gabapentin use may be prolonged, increasing the risk of altered mental status and even overdose and death when taken concurrently with opioids. However, little is known about postoperative prolonged use of gabapentin in older adults. METHODS: We merged a 20% sample of Medicare Carrier, MedPAR and Outpatient Files with Part D for 2013-2018. We included patients >65 years old without prior gabapentinoid use who underwent common non-cataract surgical procedures. We defined new postoperative gabapentin as fills for 7 days before surgery until 7 days after discharge. We excluded patients whose discharge disposition was hospice or death. The primary outcome was prolonged use of gabapentin, defined as a fill>90 days after discharge. To identify risk factors for prolonged use, we constructed logistic regression models, adjusted for procedure and patient characteristics, length of stay, disposition location, and care complexity. RESULTS: Overall, 17,970 patients (3% of all eligible patients) had a new prescription for gabapentin after surgery. Of these, the mean age was 73 years old and 62% were female. The most common procedures were total knee (45%) and total hip (21%) replacements. Prolonged use occurred in 22%. Those with prolonged use were more likely to be women (64% vs. 61%), be non-White (14% vs. 12%), have concurrent prolonged opioid use (44% vs. 18%), and have undergone emergency surgery (8% vs. 4%). On multivariable analysis, being female, having a higher Charlson comorbidity score, having an opioid prescription at discharge and at >90 days and having a higher care complexity were associated with prolonged use of gabapentin. CONCLUSIONS: More than one-fifth of older adults prescribed gabapentin postoperatively filled a prescription >90 days after discharge, especially among patients with more comorbidities and concurrent prolonged opioid use, increasing the risk of adverse drug events and polypharmacy.

Long-term functional outcomes and mortality after hospitalization for extracranial hemorrhage.

BACKGROUND: The effects of extracranial hemorrhage (ECH), or bleeding outside the brain, are often considered transient. Yet, there are few data on the long-term and functional consequences of ECH. OBJECTIVE: Define the association of ECH hospitalization with functional independence and survival in a nationally representative cohort of older adults. DESIGN: Longitudinal cohort study. SETTINGS AND PARTICIPANTS: Data from the Health and Retirement Study from 1995 to 2016, a nationally representative, biennial survey of older adults. Adults aged 66 and above with Medicare linkage and at least 12 months of continuous Medicare Part A and B enrollment. INTERVENTION: Hospitalization for ECH. MAIN OUTCOMES AND MEASURES: Adjusted odds ratios and predicted likelihood of independence in all activities of daily living (ADLs), independence in all instrumental activities of daily living (IADLs) and extended nursing home stay. Adjusted hazard ratio and predicted likelihood for survival. RESULTS: In a cohort of 6719 subjects (mean age 77, 59% women) with average follow-up time of 8.3 years (55,767 person-years), 736 (11%) were hospitalized for ECH. ECH was associated with a 15% increase in ADL disability, 15% increase in IADL disability, 8% increase in nursing home stays, and 4% increase in mortality. After ECH, subjects became disabled and died at the same annual rate as pre-ECH but never recovered to pre-ECH levels of function. In conclusion, hospitalization for ECH was associated with significant and durable declines in independence and survival. Clinical and research efforts should incorporate the long-term harms of ECH into decision-making and strategies to mitigate these effects.

Association of Social Support With Functional Outcomes in Older Adults Who Live Alone.

Importance: Older adults who live alone are at risk for poor health outcomes. Whether social support mitigates the risk of living alone, particularly when facing a sudden change in health, has not been adequately reported. Objective: To assess if identifiable support buffers the vulnerability of a health shock while living alone. Design, Setting, and Participants: In this longitudinal, prospective, nationally representative cohort study from the Health and Retirement Study (enrollment March 2006 to April 2015), 4772 community-dwelling older adults 65 years or older who lived alone in the community and could complete activities of daily living (ADLs) and instrumental ADLs independently were followed up biennially through April 2018. Statistical analysis was completed from May 2020 to March 2021. Exposures: Identifiable support (ie, can the participant identify a relative/friend who could help with personal care if needed), health shock (ie, hospitalization, new diagnosis of cancer, stroke, heart attack), and interaction (multiplicative and additive) between the 2 exposures. Main Outcomes and Measures: The primary outcomes were incident ADL dependency, prolonged nursing home stay (≥30 days), and death. Results: Of 4772 older adults (median [IQR] age, 73 [68-81] years; 3398 [71%] women) who lived alone, at baseline, 1813 (38%) could not identify support, and 3013 (63%) experienced a health shock during the study. Support was associated with a lower risk of a prolonged nursing home stay at 2 years (predicted probability, 6.7% vs 5.2%; P = .002). Absent a health shock, support was not associated with a prolonged nursing home stay (predicted probability over 2 years, 1.9% vs 1.4%; P = .21). However, in the presence of a health shock, support was associated with a lower risk of a prolonged nursing home stay (predicted probability over 2 years, 14.2% vs 10.9%; P = .002). Support was not associated with incident ADL dependence or death. Conclusions and Relevance: In this longitudinal cohort study among older adults who live alone, identifiable support was associated with a lower risk of a prolonged nursing home stay in the setting of a health shock.

Deprescribing Blood Pressure Treatment in Long-Term Care Residents.

OBJECTIVES: To evaluate the incidence of deprescribing of antihypertensive medication among older adults residing in Veterans Affairs (VA) nursing homes for long-term care and rates of deprescribing after potentially triggering events. DESIGN: Retrospective cohort study. SETTING AND PARTICIPANTS: Long-term care residents aged 65 years and older admitted to a VA nursing home from 2006 to 2019 and using blood pressure medication at admission. METHODS: Data were extracted from the VA electronic health record, and Centers for Medicare & Medicaid Services Minimum Data Set and Bar Code Medication Administration. Deprescribing was defined on a rolling basis as a reduction in the number or dose of antihypertensive medications, sustained for ≥2 weeks. We examined potentially triggering events for deprescribing, including low blood pressure (<90/60 mmHg), acute renal impairment (creatinine increase of 50%), electrolyte imbalance (potassium below 3.5 mEq/L, sodium decrease by 5 mEq/L), and falls. RESULTS: Among 31,499 VA nursing home residents on antihypertensive medication, 70.4% had ≥1 deprescribing event (median length of stay = 6 months), and 48.7% had a net reduction in antihypertensive medications over their stay. Deprescribing events were most common in the first 4 weeks after admission and the last 4 weeks of life. Among potentially triggering events, a 50% increase in serum creatinine was associated with the greatest increase in the likelihood of deprescribing over the subsequent 4 weeks: residents with this event had a 41.7% chance of being deprescribed compared with 11.5% in those who did not (risk difference = 30.3%, P < .001). A fall in the past 30 days was associated with the smallest magnitude increased risk of deprescribing (risk difference = 3.8%, P < .001) of the events considered. CONCLUSIONS AND IMPLICATIONS: Deprescribing of antihypertensive medications is common among VA nursing home residents, especially after a potential renal adverse event.

Unplanned hospital visits after ambulatory surgical care.

OBJECTIVES: We sought to assess the rate of unplanned hospital visits among patients undergoing ambulatory surgery. SUMMARY BACKGROUND DATA: The majority of surgeries performed in the United States now take place in outpatient settings. Post-discharge hospital visit rates have been shown to vary widely, suggesting variation in surgical or discharge care quality. Complicating efforts to address quality, most facilities and surgeons are unaware of their patients' hospital visits after surgery since patients may present to a different hospital. METHODS: We used state-level, administrative data from the Agency for Healthcare Research and Quality's Healthcare Cost and Utilization Project from California to assess unplanned hospital visits after ambulatory surgery. To compare rates across centers, we determined the age, sex, and procedure-adjusted rates of hospital visits for each facility using 2-level, hierarchical, generalized linear models using methods similar to existing Centers for Medicare and Medicaid Services measures. RESULTS: Among a total of 1,260,619 ambulatory same-day surgeries from 440 surgical facilities, the risk adjusted 30-day rate of unplanned hospital visits was 4.8%, with emergency department visits of 3.1% and hospital admissions of 1.7%. Several patient characteristics were associated with increased risk of unplanned hospitals visits, including increased age, increased number of comorbidities (using the Elixhauser score), and type of procedure (p<0.001). CONCLUSIONS: The overall rate unplanned hospital visits within 30 days after same-day surgery is low but variable, suggesting a difference in the quality of care provided. Further, these rates are higher among specific patient populations and procedure types, suggesting areas for targeted improvement.

Succeeding in Aging Research During the Pandemic: Strategies for Fellows and Junior Faculty.

Fellows and junior faculty conducting aging research have encountered substantial new challenges during the COVID-19 pandemic. They report that they have been uncertain how and whether to modify existing research studies, have faced difficulties with job searches, and have struggled to balance competing pressures including greater clinical obligations and increased responsibilities at home. Many have also wondered if they should shift gears and make COVID-19 the focus of their research. We asked a group of accomplished scientists and mentors to grapple with these concerns and to share their thoughts with readers of this journal.

Comparative Effectiveness of Angiotensin II Receptor Blockers and Angiotensin-Converting Enzyme Inhibitors in Older Nursing Home Residents After Myocardial Infarction: A Retrospective Cohort Study.

BACKGROUND: Evidence regarding differences in outcomes between angiotensin II receptor blockers (ARBs) and angiotensin-converting enzyme inhibitors (ACEIs) among older nursing home (NH) residents after acute myocardial infarction (AMI) is limited. OBJECTIVES: The purpose of our study was to estimate the post-AMI effects of ARBs versus ACEIs on mortality, rehospitalization, and functional decline outcomes in this important population. METHODS: This retrospective cohort study used national Medicare claims linked to Minimum Data Set assessments. The study population included individuals aged ≥ 65 years who resided in a US NH ≥ 30 days, were hospitalized for AMI between May 2007 and March 2010, and returned to the NH. We compared 90-day mortality, rehospitalization, and functional decline outcomes between ARB and ACEI users with inverse-probability-of-treatment-weighted binomial and multinomial logistic regression models. RESULTS: Of the 2765 NH residents, 270 (9.8%) used ARBs and 2495 (90.2%) used ACEIs. The mean age of ARB versus ACEI users was 82.3 versus 82.7 years, respectively. No marked differences existed between ARB and ACEI users for mortality [odds ratio (OR) 1.18; 95% confidence interval (CI) 0.78-1.79], rehospitalization (OR 1.22; 95% CI 0.90-1.65), or functional decline (OR 1.23; 95% CI 0.88-1.74). In subgroup analyses, ARBs were associated with increased mortality and rehospitalization in individuals with moderate to severe cognitive impairment and with increased rehospitalization in those aged < 85 years. CONCLUSIONS: Our findings align with prior data and suggest that clinicians can prescribe either ARBs or ACEIs post-AMI for secondary prevention in NH residents, although the subgroup findings merit further scrutiny and replication. Providers should consider factors such as patient preferences, class-specific adverse events, and costs when prescribing.