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. Author manuscript; available in PMC: 2026 Sep 29.
Published in final edited form as: J Am Med Dir Assoc. 2026 Aug 26;27(10):106439. doi: 10.1016/j.jamda.2026.106439

Oral Anticoagulant Use Among Residents in VA Long-Term Care With Atrial Fibrillation After the 2014 ACC/AHA Guideline

Veena Manja a,b, Yongmei Li c, Michael A Steinman d,e, Sei Lee d,e, Laura A Graham f, Bocheng Jing c, Kathy Fung d, Xiaojuan Liu g, Steven M Asch h,i, Michelle C Odden c,*
PMCID: PMC13617581  NIHMSID: NIHMS2198930  PMID: 42648009

Abstract

Objectives:

In 2014, the American College of Cardiology/American Heart Association moved away from recommending aspirin in atrial fibrillation (AF) and recommended that patients be treated with oral anticoagulants (OACs) to mitigate the risk of stroke. We aimed to evaluate the prevalence and predictors of OACs and/or aspirin use among veterans with AF in Veterans Affairs nursing homes in the era after the guideline publication.

Design:

Observational study of veterans admitted from October 1, 2014 to September 30, 2019.

Setting and Participants:

Four thousand nine hundred ninety-four nursing home residents with AF and a CHA2DS2-VASc score of ≥2.

Methods:

Multinomial logistic regression was used to compare demographics, comorbidities, functional status, and concurrent antiplatelet medication use in residents who received OAC ± aspirin and aspirin alone, compared with neither.

Results:

In the era after the 2014 American College of Cardiology/American Heart Association guideline was released, age-standardized prevalence rates for any OAC (warfarin and direct oral anticoagulant) increased from 31.2% in fiscal year (FY) 2013 to 2014 to 46.6% in FY 2019. In addition, there was a decrease in patients receiving no OAC (21.1%−16.2%) and aspirin (47.7%−39.3%). However, some eligible residents remained untreated. Averaged over FY 2015 to 2019, each decade of ascending age was associated with a lower likelihood of receiving OAC [relative risk ratio (RRR), 0.79; 95% CI, 0.71–0.87], relative to neither anticoagulant nor aspirin use. Black veterans were less likely to receive OAC (RRR, 0.73; 95% CI, 0.58–0.91); Hispanic veterans were less likely to receive OAC (RRR, 0.63; 95% CI, 0.44–0.91) and aspirin (RRR, 0.47; 95% CI, 0.31–0.72). Mild to moderate cognitive impairment, greater disability, and other antiplatelet use were also associated with less OAC use.

Conclusions and Implications:

Fewer Veterans Affairs nursing home residents received OACs than recommended by guidelines, with significant differences by age and race/ethnicity. Future research efforts should aim to understand the reasons for low OAC use and to augment the evidence base for anticoagulant use to include frail older adults.

Keywords: Atrial fibrillation, stroke prophylaxis, oral anticoagulation, aspirin, nursing home, deprescribing


Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia affecting millions of Americans and is strongly associated with thromboembolic stroke.1 Stroke risk in AF varies with demographics and chronic conditions and can be mitigated by treatment with oral anticoagulants (OACs); the CHA2DS2-VASc score is commonly used to predict stroke risk and assist with OAC decisions.2 Warfarin was the only OAC option till 2010; the availability of effective, safer, and easier-to-use direct oral anticoagulants (DOACs) is now preferred.3 Although a previous American College of Cardiology/American Heart Association (ACC/AHA) guideline for the management of AF allowed aspirin for antithrombotic therapy,4 more recent studies, including the Aspirin in Reducing Events in the Elderly trial, fail to show benefit and report an increased risk of bleeding complications with aspirin.5–7 Since 2014, the ACC/AHA guideline has moved away from recommending aspirin, and the most recent guideline reaffirms that aspirin is not recommended to reduce stroke risk in patients with AF.2

In spite of compelling evidence for effectiveness in older adults,8,9 OACs are underutilized. Studies have reported aspirin use instead of anticoagulants in up to a third of patients with AF10 and reported a lower probability of OAC prescribing when patients with AF are on aspirin.11 While guidelines recommend holding OAC in patients with AF who require percutaneous coronary intervention stenting, the vast majority of patients with AF require continuous OAC treatment. OAC and aspirin have been less studied in nursing home residents, who have a high burden of chronic conditions and an elevated risk of both stroke and bleeding outcomes. A recent cross-sectional study of 4752 nursing home residents with AF found that 39% received OAC and 44% received antiplatelets including aspirin.12 But this study did not investigate changes over time and after the 2014 guideline publication.

In this investigation, we evaluated trends in aspirin and OAC use in the post-2014 ACC/AHA guideline era, in patients with AF and a CHA2DS2-VASc score of ≥2 admitted to a Veterans Affairs (VA) nursing home. Furthermore, we investigated predictors of aspirin and OAC use, compared with use of neither of the medications.

Methods

Our study included residents admitted to a VA nursing home between October 1, 2014 and September 30, 2019 (prior to the onset of the COVID-19 pandemic) with ≥90 days of stay with a diagnosis of AF based on the International Classification of Diseases (ICD) codes in 1 year before admission and a CHA2DS2-VASc score of ≥2 (the cohort was almost all male). For the time-trend analysis, we also included residents admitted between October 1, 2012 and September 30, 2014. The Stanford institutional review board approved this study.

Demographics, diagnoses, medications, and functional status were obtained from the VA Corporate Data Warehouse. Chronic conditions were identified using ICD-9/ICD-10 and procedure codes 1 year before and during the nursing home stay. AF was identified by ICD-9 427.3x and ICD-10 I48.91 and I48.92.

Patient-level characteristics included age, sex, race/ethnicity, body mass index (BMI), chronic conditions (hypertension, diabetes, dementia, cerebrovascular disease, coronary artery disease, heart failure, peripheral vascular disease, depression, bleeding disorder, and intracranial hemorrhage). Cognitive Function Scale, activities of daily living, and recent falls in the past 30 days were captured from the Minimum Data Set.

Warfarin, DOACs (dabigatran, apixaban, rivaroxaban, and edoxaban), and aspirin use were determined from Bar Code Medication Administration records. OAC use is defined as use of warfarin or DOACs. We categorized exposure in the first 4 weeks as aspirin alone, OAC ± aspirin, or neither, defined as administration on ≥70% of days, and analyzed prevalence, time trends, and adjusted relative risk ratios. We also assessed other antiplatelets (clopidogrel, prasugrel, and ticagrelor) and selective serotonin reuptake inhibitors because of associated bleeding risks.

We present descriptive statistics to characterize the sample and compare characteristics among the 3 groups (Table 1), using the Kruskal-Wallis test for continuous variables and the χ2 test for categorical variables. Age-standardized prevalence was calculated by direct standardization to the fiscal year 13 to fiscal year 14 age distribution. We used multinomial logistic regression to examine factors associated with aspirin alone, OAC ± aspirin, or neither, adjusting for the independent variables above. We used α = 0.05. Analyses were performed in SAS 9.4 (SAS Institute Inc.) and Stata 18 (StataCorp LLC).

Table 1.

Baseline Characteristics of Residents Admitted to Community Living Centers in FY2015 to FY2019, by Medication Categories (n = 4994)

Characteristic Residents Only on Aspirin
N = 1432 (28.7%)
Residents on OAC (±Aspirin)
N = 2037 (40.8%)
Residents on Neither Aspirin nor OAC
N = 1525 (30.5%)
P Value
Age (y) 79.7 (9.3) 76.8 (8.3) 79.9 (9.2) <.001
Sex
 Male 1407 (98.3%) 2009 (98.6%) 1487 (97.5%) .046
Race .017
 White 1131 (79.0%) 1629 (80.0%) 1159 (76.0%)
 Black 187 (13.1%) 266 (13.1%) 240 (15.7%)
 Asian or Pacific Islander 19 (1.3%) 19 (0.9%) 22 (1.4%)
 American Indian/Alaska Native 4 (0.3%) 16 (0.8%) 9 (0.6%)
 Multiraces 5 (0.4%) 18 (0.9%) 10 (0.7%)
 Missing value 86 (6.0%) 89 (4.4%) 85 (5.6%)
Ethnicity—Hispanic 41 (2.9%) 64 (3.1%) 87 (5.7%) <.001
Weight (lbs) 198.5 (50.9) 221.0 (60.5) 194.6 (49.4) <.001
BMI 29.0 (7.1) 31.8 (8.3) 28.7 (8.2) <.001
Hypertension 1323 (92.4%) 1920 (94.3%) 1363 (89.4%) <.001
Diabetes mellitus 781 (54.5%) 1292 (63.4%) 752 (49.3%) <.001
Coronary artery disease 907 (63.3%) 1234 (60.6%) 774 (50.8%) <.001
Cerebrovascular disease 516 (36.0%) 752 (36.9%) 466 (30.6%) <.001
Heart failure 881 (61.5%) 1372 (67.4%) 878 (57.6%) <.001
Peripheral vascular disease 439 (30.7%) 565 (27.7%) 322 (21.1%) <.001
Coagulation/bleeding disorders at admission 28 (2.0%) 78 (3.8%) 46 (3.0%) .007
Intracranial hemorrhage 57 (4.0%) 47 (2.3%) 69 (4.5%) .001
Depression 666 (46.5%) 900 (44.2%) 661 (43.3%) .199
Epilepsy 121 (8.5%) 155 (7.6%) 156 (10.2%) .021
Dementia 738 (51.5%) 803 (39.4%) 730 (47.9%) <.001
Cognitive Function Scale <.001
 Cognitively intact 653 (45.6%) 1100 (54.0%) 613 (40.2%)
 Mildly impaired 268 (18.7%) 370 (18.2%) 290 (19.0%)
 Moderately impaired 219 (15.3%) 194 (9.5%) 225 (14.8%)
 Severely impaired 26 (1.8%) 35 (1.7%) 31 (2.0%)
 Missing 266 (18.6%) 338 (16.6%) 366 (24.0%)
Activity of daily living 14.6 (6.8) 14.3 (6.7) 15.9 (7.1) <.001
Falls in the past 30 d 481 (33.6%) 653 (32.1%) 470 (30.8%) .501
Selective serotonin reuptake inhibitor use 464 (32.4%) 636 (31.2%) 453 (29.7%) .282
Other antiplatelet agents (including clopidogrel, prasugrel, and ticagrelor) 361 (25.2%) 411 (20.2%) 303 (19.9%) <.001

Report mean (SD) for continuous variables and n (%) for categorical variables; P values are based on the Kruskal-Wallis test for continuous variables and the χ2 test for categorical variables.

Results

Of the 18,506 long-term care residents admitted during the study duration, 27% (5033) had a diagnosis of AF; of these, 4994 had a CHA2DS2-VASc score of ≥2. The majority (98%) were male with an average age of 80 years. Baseline demographics and comorbidities are presented in Table 1. A total of 28.7% received aspirin alone, 40.8% OAC ± aspirin, and 30.5% received neither. When using a threshold of ≥50% of days to define use, these numbers were similar: 29.4% received aspirin alone, 44.3% OAC ± aspirin, and 26.4% received neither. Among those on aspirin, 63.3% had a history of coronary artery disease compared with 60.6% on an OAC and 50.8% on neither therapy.

After 2014, age-standardized prevalence rates for any OAC ± aspirin (warfarin and DOAC) increased from 31.2% in 2013 to 2014 to 46.6% in 2019. DOAC use increased over this period, whereas warfarin use declined. In addition, there was a decrease in patients receiving no OAC (21.1%−16.2%) and aspirin (47.7%−39.3%) (Figure 1).

Fig. 1.

Fig. 1.

Temporal changes in the use of aspirin alone, warfarin (±aspirin), DOAC (±aspirin), and none in VA nursing home residents with AF and a CHA2DS2-VASc score of ≥2.

OAC ± aspirin receipt differed significantly based on age, race/ethnicity, and BMI (Table 2). Older age was associated with lower use of OAC (relative risk ratio per 10 years, 0.79; 95% CI, 0.71–0.87). Black residents were less likely to receive OAC, and Hispanic residents were less likely to receive both OAC and aspirin. Residents with a greater BMI were more likely to use OAC.

Table 2.

Multinomial Logistic Regression of Participant Characteristics Associated With Aspirin or OAC (±Aspirin) Use

Characteristic Aspirin vs Neither OACs (±Aspirin) vs Neither
RRR (95% CI) P Value RRR (95% CI) P Value
Age per 10 y 1.04 (0.94–1.15) .448 0.79 (0.71–0.87) <.001
Female vs male 0.74 (0.42–1.29) .283 0.57 (0.33–0.98) .041
Race
 White Reference Reference
 Black 0.80 (0.63–1.02) .071 0.73 (0.58–0.91) .005
 Asian/Pacific Islander 0.81 (0.41–1.58) .535 0.62 (0.32–1.21) .161
 American Indian/Alaska Native 0.48 (0.14–1.67) .245 0.60 (0.21–1.68) .329
 Multiraces 0.52 (0.17–1.60) .254 1.12 (0.48–2.65) .791
 Missing 1.15 (0.81–1.63) .425 0.85 (0.60–1.20) .357
Ethnicity—Hispanic vs non-Hispanic 0.47 (0.31–0.72) .001 0.63 (0.44–0.91) .013
BMI 1.00 (0.99–1.01) .486 1.03 (1.02–1.04) <.001
Hypertension 1.25 (0.93–1.69) .137 1.46 (1.09–1.95) .011
Diabetes 1.10 (0.92–1.31) .292 1.30 (1.10–1.53) .002
Coronary artery disease 1.44 (1.20–1.72) <.001 1.31 (1.11–1.55) .001
Cerebrovascular disease 1.22 (1.02–1.46) .031 1.57 (1.33–1.86) <.001
Heart failure 0.99 (0.83–1.18) .913 1.22 (1.04–1.44) .017
Peripheral vascular disease 1.49 (1.23–1.81) <.001 1.20 (1.00–1.44) .049
Bleeding disorder 0.54 (0.31–0.92) .023 1.21 (0.80–1.84) .365
Intracranial hemorrhage 0.89 (0.59–1.34) .563 0.46 (0.30–0.72) .001
Depression 1.06 (0.88–1.26) .560 0.84 (0.71–0.99) .038
Epilepsy 0.80 (0.59–1.07) .130 0.77 (0.59–1.01) .059
Dementia 1.35 (1.12–1.63) .001 1.06 (0.89–1.26) .511
Cognitive Function Scale
 Cognitively intact Reference Reference
 Mildly impaired 0.80 (0.64–1.00) .045 0.82 (0.66–1.00) .053
 Moderately impaired 0.96 (0.74–1.25) .755 0.70 (0.54–0.91) .008
 Severely impaired 1.09 (0.60–1.99) .771 0.91 (0.51–1.64) .762
 Missing value 0.58 (0.46–0.75) <.001 0.52 (0.41–0.65) <.001
Activity of daily living 0.98 (0.97–0.99) <.001 0.98 (0.97–0.99) <.001
Falls in 30 d prior 1.16 (0.98–1.38) .083 1.12 (0.95–1.31) .180
Selective serotonin reuptake inhibitor use 1.11 (0.91–1.35) .310 1.09 (0.91–1.31) .362
Antiplatelet use 1.11 (0.90–1.36) .338 0.73 (0.60–0.89) .002

Other chronic conditions independently associated with greater OAC use included hypertension, diabetes, coronary artery disease, cerebrovascular disease, heart failure, peripheral vascular disease, and depression. Persons with coronary artery disease, cerebrovascular disease, peripheral vascular disease, and dementia were more likely to use aspirin. The presence of a bleeding disorder was associated with lower aspirin use, and a history of intracranial hemorrhage was associated with a lower probability of OAC. Mild or moderate cognitive impairment was associated with lower use of OAC, and greater limitations in activities of daily living were associated with lower use of either medication. Other antiplatelet use was associated with a lower use of OAC.

Discussion

In the era after the 2014 ACC/AHA guideline was released, anticoagulation use (DOAC or warfarin) increased to nearly 50% in 2019 among residents of VA nursing homes. In parallel, the proportion of those receiving aspirin or no treatment decreased. However, some patients remained untreated with OAC and highlight important differences in the populations that receive guideline-concordant care. OAC use was lower with greater age and among Black and Hispanic individuals and among those with worse cognitive and physical function.

Our results align with previous reports of low OAC use in older adults residing in nursing homes and those with dementia and cognitive impairment.12,13 One potential reason for use below guideline recommendations is that studies of OAC in older adults have either excluded or included few with geriatric syndromes, leading to uncertainty in treatment benefits.14 This may be of special importance in older nursing home residents and those with worse cognitive and physical function. Functional status, fall risk, and life expectancy are often important considerations for shared decision-making regarding anticoagulant and other medication use in older adults. Another study of 1244 patients (mean age, 75.5 years) with AF reported increased major bleeding episodes and mortality among those on OAC (44% on DOAC) at 24 months of follow-up15; this supports our observation of lower use of OAC among residents with a history of intracranial hemorrhage. Furthermore, our study was unable to include factors such as patient preferences, goals of care, and provider evaluation of life expectancy and risks, which would be expected to inform individualized clinical decision-making and could contribute to lower use of OAC. Further data on the effectiveness and safety of OAC among frail older adults and those residing in nursing homes is needed to inform shared decision-making in this population.

Our finding of differences in OAC use among Black and Hispanic older adults is consistent with other research demonstrating racial differences in initiation of OAC after incident AF16 and deserves further investigation into the root causes. Factors such as financial strain, medical mistrust, a weak physician-patient relationship, and low health literacy affect racially minoritized populations and can hinder access to guideline-concordant care.17,18 Racially minoritized populations also carry a disproportionate burden of chronic conditions, as a result of unequal social conditions, that could influence prescribing decisions. A deeper investigation into these structural and health care factors could identify opportunities to support equitable care.

Strengths of our study include the inclusion of veterans residing in nursing homes across the United States and the availability of the Bar Code Medication Administration data, which represents medications administered, including over-the-counter aspirin use. The primary limitation is that our study population is a selected population and predominantly male; thus, these results may not apply to other nursing home residents. Our study should be replicated in a non-VA nursing home setting to determine whether similar results will be found in both VA and non-VA settings.

Conclusions and Implications

In summary, OAC use increased substantially in the era after the ACC/AHA guideline was released. We observed significant differences by age, race/ethnicity, and functional status. A better understanding of the benefits of OAC in nursing home residents with AF would help optimize care in these patients.

Acknowledgments

This work was supported by the National Institute on Aging (grant no. 2R01AG062568); Veena Manja was funded by the VA VISN21 early career award program. Sei Lee was funded by K24AG066998. Michael Steinman was funded by P30AG044281. Veena Manja was supported by the VA Office of Academic Affiliations during post-doctoral work and VA VISN 21 early career advancement program. This material is the result of work supported with resources and the use of facilities at the VA Palo Alto Health Care System in Palo Alto, California.

Footnotes

The views expressed are those of the authors and do not necessarily reflect the position or policy of the National Institute on Aging, the Department of Veterans Affairs, or the US government. Results included in this article were presented at the 2023 American Geriatrics Society meetings in Long Beach, CA, in May 2023.

Disclosure

The authors report no conflicts of interest.

References

  • 1.Tsao CW, Aday AW, Almarzooq ZI, et al. Heart disease and stroke statistics—2023 update: a report from the American Heart Association. Circulation. 2023;147:e93–e621. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Joglar JA, Chung MK, Armbruster AL, et al. 2023 ACC/AHA/ACCP/HRS guideline for the diagnosis and management of atrial fibrillation: a report of the American College of Cardiology/American Heart Association Joint Committee on clinical practice guidelines. Circulation. 2024;149:e1–e156. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Navar AM, Kolkailah AA, Overton R, et al. Trends in oral anticoagulant use among 436 864 patients with atrial fibrillation in community practice, 2011 to 2020. J Am Heart Assoc. 2022;11:e026723. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Fuster V, Ryden LE, Cannom DS, et al. ACC/AHA/ESC 2006 guidelines for the management of patients with atrial fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on practice guidelines and the European Society of Cardiology Committee for practice guidelines (writing committee to revise the 2001 guidelines for the management of patients with atrial fibrillation): developed in collaboration with the European Heart Rhythm Association and the Heart Rhythm Society. Circulation. 2006;114:e257–e354. [DOI] [PubMed] [Google Scholar]
  • 5.McNeil JJ, Nelson MR, Woods RL, et al. Effect of aspirin on all-cause mortality in the healthy elderly. N Engl J Med. 2018;379:1519–1528. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.McNeil JJ, Wolfe R, Woods RL, et al. Effect of aspirin on cardiovascular events and bleeding in the healthy elderly. N Engl J Med. 2018;379:1509–1518. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.McNeil JJ, Woods RL, Nelson MR, et al. Effect of aspirin on disability-free survival in the healthy elderly. N Engl J Med. 2018;379:1499–1508. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Mant J, Hobbs FR, Fletcher K, et al. Warfarin versus aspirin for stroke prevention in an elderly community population with atrial fibrillation (the Birmingham Atrial Fibrillation Treatment of the Aged Study, BAFTA): a randomised controlled trial. Lancet. 2007;370:493–503. [DOI] [PubMed] [Google Scholar]
  • 9.Sardar P, Chatterjee S, Chaudhari S, Lip GY. New oral anticoagulants in elderly adults: evidence from a meta-analysis of randomized trials. J Am Geriatr Soc. 2014;62:857–864. [DOI] [PubMed] [Google Scholar]
  • 10.Hsu JC, Maddox TM, Kennedy K, et al. Aspirin instead of oral anticoagulant prescription in atrial fibrillation patients at risk for stroke. J Am Coll Cardiol. 2016;67:2913–2923. [DOI] [PubMed] [Google Scholar]
  • 11.Lubitz SA, Khurshid S, Weng L-C, et al. Predictors of oral anticoagulant non-prescription in patients with atrial fibrillation and elevated stroke risk. Am Heart J. 2018;200:24–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Ko D, Lee Y, Kim DH, et al. Antiplatelet and anticoagulant use in nursing home residents with atrial fibrillation. JAMA Intern Med. 2024;184:1256–1258. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Kapoor A, Foley G, Zhang N, et al. Geriatric conditions predict discontinuation of anticoagulation in long-term care residents with atrial fibrillation. J Am Geriatr Soc. 2020;68:717–724. [DOI] [PubMed] [Google Scholar]
  • 14.Rich MW. Anticoagulation for atrial fibrillation: time to revise the paradigm? J Am Geriatr Soc. 2023;71:365–367. [DOI] [PubMed] [Google Scholar]
  • 15.Wang W, Lessard D, Kiefe CI, et al. Differential effect of anticoagulation according to cognitive function and frailty in older patients with atrial fibrillation. J Am Geriatr Soc. 2023;71:394–403. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Essien UR, Kim N, Hausmann LRM, et al. Disparities in anticoagulant therapy initiation for incident atrial fibrillation by race/ethnicity among patients in the veterans health administration system. JAMA Netw Open. 2021;4:e2114234. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Armstrong K, McMurphy S, Dean LT, et al. Differences in the patterns of health care system distrust between blacks and whites. J Gen Intern Med. 2008;23:827–833. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Woodard LD, Hernandez MT, Lees E, Petersen LA. Racial differences in attitudes regarding cardiovascular disease prevention and treatment: a qualitative study. Patient Educ Couns. 2005;57:225–231. [DOI] [PubMed] [Google Scholar]

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