Abstract
Importance
Long-term nursing home residents with atrial fibrillation (AF) and activities of daily living (ADL) disability are at high risk of bleeding and death, making the net benefit of anticoagulation uncertain.
Objective
To compare the association of oral anticoagulant (OAC) use vs nonuse with ischemic stroke and major bleeding in long-term nursing home residents with AF and ADL disability.
Design, Setting, and Participants
This cohort study used US Medicare claims linked with the Minimum Data Set (January 1, 2013, to December 31, 2022). Nursing home residents with nonvalvular AF and impairment in 3 or more ADLs were included. Three cohorts comparing use of apixaban, rivaroxaban, or warfarin with nonuse were constructed using incidence-density sampling.
Exposures
Initiation of apixaban, rivaroxaban, or warfarin use.
Main Outcomes and Measures
Primary outcomes were ischemic stroke, major bleeding, and their composite. Propensity score (PS) matching balanced 111 covariates. Adjusted rate ratios (ARRs) with 95% CIs were estimated. Tipping-point analyses assessed the relative weighting ischemic stroke vs major bleeding required to favor anticoagulation. Direct active-comparator analyses compared apixaban with rivaroxaban and warfarin.
Results
The study comprised 26 940 nursing home residents (median [IQR] age, 82 [74,88] years; 17 504 [65.0%] female), including PS-matched cohorts of 7600 residents receiving apixaban, 2654 receiving rivaroxaban, and 3216 receiving warfarin. Compared with nonuse, use of all OACs was associated with lower rates of ischemic stroke (apixaban: ARR, 0.53; 95% CI, 0.38-0.73; rivaroxaban: ARR, 0.48; 95% CI, 0.27-0.87; warfarin: ARR, 0.47; 95% CI, 0.25-0.88) and higher rates of major bleeding (apixaban: ARR, 1.62; 95% CI, 1.29-2.03; rivaroxaban: ARR, 2.68; 95% CI, 1.84-3.93; warfarin: ARR, 3.02; 95% CI, 2.15-4.25). Only apixaban was not associated with a higher composite outcome (ARR, 1.08; 95% CI, 0.90-1.30), whereas rivaroxaban (ARR, 1.62; 95% CI, 1.20-2.18) and warfarin (ARR, 1.99; 95% CI, 1.50-2.63) were associated with higher rates. Findings were consistent across frailty strata, although stroke reduction with apixaban was attenuated among frail individuals. Tipping-point analyses indicated a more favorable benefit-risk balance for apixaban than for rivaroxaban or warfarin.
Conclusions and Relevance
Among nursing home residents with AF and ADL disability, OAC use was associated with lower ischemic stroke but higher major bleeding rates than nonuse. Apixaban demonstrated the most favorable benefit-risk profile among the OACs evaluated. These findings may inform individualized anticoagulation decisions.
This cohort study of nursing home residents with atrial fibrillation (AF) and activities of daily living (ADL) disability evaluates the association of oral anticoagulant use and clinical outcomes.
Key Points
Question
What are the comparative effectiveness and safety outcomes associated with oral anticoagulant use compared with nonuse among long-term nursing home residents with atrial fibrillation and activities of daily living disability?
Findings
In this cohort study of 26 940 nursing home residents, use of oral anticoagulants was associated with lower ischemic stroke rates but higher major bleeding rates than nonuse. Apixaban showed the most favorable benefit-risk profile and, in direct active-comparator analyses, was associated with less major bleeding than rivaroxaban and warfarin while maintaining similar ischemic stroke rates.
Meaning
Anticoagulation decisions among nursing home residents with atrial fibrillation and activities of daily living disability should be individualized, and apixaban may offer the most favorable balance between stroke prevention and bleeding risk when anticoagulation is appropriate.
Introduction
Atrial fibrillation (AF) is the most common substantial cardiac arrhythmia, and its prevalence increases with age.1 The number of nursing home residents with AF is projected to exceed 300 000 by 2030.2 AF is substantially more prevalent among nursing home residents (10%-17%) than in the general population (1%-2%).3,4,5 Although clinical guidelines recommend oral anticoagulants (OACs) to reduce stroke risk, OACs are often underused or discontinued in older adults, particularly in nursing homes because of concerns about bleeding risk and falls.6,7
In older adults, AF is associated with greater functional dependence, in part because AF-related strokes often result in life-altering disability, and coexists with conditions, such as falls and cognitive impairment, that further contribute to functional decline and reduced quality of life.8,9,10,11,12,13 Approximately 58% of nursing home residents with AF have moderate or severe activities of daily living (ADL) disability, underscoring the challenges of OAC decision-making in this at-risk population.14 ADL disability may further influence the decision by reflecting greater frailty and limited life expectancy, which can shift anticoagulation decisions toward avoiding treatment.15,16,17
The decreased use of OACs in this population may have important consequences because prior studies18,19,20 have shown that individuals with ADL disability have a significantly elevated risk of stroke. Conversely, older adults with AF at high risk of falls experience substantially higher rates of intracranial hemorrhage (ICH),21,22,23 the category of anticoagulant-related bleeding at least as severe as ischemic stroke. Despite the high burden of both stroke and bleeding risk in this population, there is a lack of direct evidence evaluating the safety and effectiveness of OACs. To address this gap, we evaluated the association between OAC use and clinical outcomes in a US national cohort of long-term nursing home residents with AF and ADL disability.
Methods
Study Design and Data Sources
This retrospective cohort study used a target trial emulation framework24,25 (eTable 1 in Supplement 1) to emulate 3 hypothetical trials comparing use vs nonuse of 3 OACs (ie, apixaban, rivaroxaban, and warfarin) among long-term nursing home residents with AF and ADL disability. The study used US Medicare claims data with the Minimum Data Set (MDS), version 3.0.26 The analyses used deidentified linked Medicare claims and MDS 3.0 data obtained under a data use agreement with the Centers for Medicare & Medicaid Services. Medicare claims provide longitudinal information on demographics, health care utilization, diagnoses, procedures, and prescription dispensing, whereas the MDS 3.0 contains standardized assessments of cognition and functional status among US nursing home residents. The study was approved by the Mass General Brigham Institutional Review Board with a waiver of informed consent because data were deidentified. This study was reported in accordance with the Reporting of Studies Conducted Using Observational Routinely Collected Health Data for Pharmacoepidemiology (RECORD-PE) guideline, an extension of the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline for cohort studies.
Study Population
Using data from January 1, 2013, and December 31, 2022, we included individuals who met the following cohort eligibility criteria: (1) 1 or more inpatient or 2 or more outpatient claims for AF; (2) impairment in 3 or more ADL items (scores of 2-4 indicating dependence) to limit to patients with advanced ADL disability27,28; (3) resident in a long-term nursing home; (4) CHA2DS2-VASc (congestive heart failure; hypertension; age ≥75 years; diabetes; prior stroke, transient ischemic attack, or thromboembolism; vascular disease; age 65-74 years; and sex category) score of 2 or higher for men or 3 or higher for women; (5) age of 65 years or older; and (6) continuous enrollment in Medicare Parts A (hospital), B (outpatient), and D (prescription drug coverage) during the 365 days before cohort entry date (CED). We excluded individuals with the following characteristics during the 365 days before the CED: (1) valvular AF (ie, rheumatic mitral valve disease or presence of a mechanical heart valve); (2) prior left atrial appendage occlusion (Watchman device or surgical); (3) venous thromboembolism; (4) joint replacement surgery; (5) hospice or palliative care; or (6) major bleeding or ischemic stroke within 60 days before the CED (eTables 2 and 7 and eFigure 1in Supplement 1).
Use and Nonuse of OACs
New OAC use was considered the initiation of apixaban, rivaroxaban, or warfarin without prior use in the preceding 365 days. Nonuse was no OAC use on the sampling date and in the prior 365 days. Using the incidence-density sampling method,29 we matched each patient receiving an OAC to a patient not receiving an OAC on time since AF diagnosis within a caliper of 30 days, CHA2DS2-VASc score, recent hospitalization or skilled nursing facility stay (within 30 days), and prior major bleeding (within 90 days). The CED was defined as the dispensing date for those receiving OACs and the sampling date for those not receiving OACs. Patients entered the study cohort only once, at their first qualifying CED. Both patients receiving and not taking OACs were required to have an AF diagnosis in the 180 days before CED.
Outcomes and Follow-Up
Primary outcomes were ischemic stroke, major bleeding, and their composite. Secondary outcomes included gastrointestinal bleeding, ICH, and mortality. Outcomes were identified using validated claims-based algorithms.30,31,32 Follow-up began 1 day after CED and continued until the earliest of the following: (1) outcome occurrence, (2) Medicare disenrollment, (3) death, (4) maximum follow-up of 365 days, (5) end of data availability, or (6) change in exposure status (ie, initiation of OACs in those not previously taking OACs or initiation of a different OAC or discontinuation of OACs among those previously taking OACs, defined as a >30-day gap in supply among users). This corresponds to an as-treated approach to assess the effects while following the index treatment strategy.
Baseline Covariates
Baseline covariates were assessed during the 365-day baseline assessment period before and including the CED. We assessed 111 covariates, including sociodemographic characteristics, comorbidities, medication use, and health care utilization. Race was included as a baseline covariate because it may be associated with differences in OAC treatment patterns and clinical outcomes. These covariates were used to estimate the CHA2DS2-VASc score,33,34 HAS-BLED (hypertension, abnormal kidney or liver function, stroke, bleeding, elderly, and drugs or excess alcohol use) score,35,36 Gagne Comorbidity Index,37 and a claim-based frailty index.38,39,40,41 For the comparison of those receiving warfarin vs those not receiving any OAC, we additionally incorporated a validated claims-based prediction of time in therapeutic range (TTR) as a proxy for anticoagulation control.42
Statistical Analysis
Main Analysis
Baseline characteristics were compared between those receiving and those not receiving OACs within each cohort. Propensity scores (PSs) were estimated using logistic regression models in all 3 OAC cohorts vs the nonuse cohort, including 111 baseline covariates. We performed 1:1 nearest neighbor matching with a caliper of 0.01. Covariate balance was assessed using standardized mean differences (SMDs), with an SMD less than 0.1 indicating adequate balance.
The primary analyses estimated the comparative effectiveness and safety associated with apixaban, rivaroxaban, or warfarin use compared with nonuse using an as-treated approach. In the matched cohorts, adjusted rate ratios (ARRs) were estimated using Poisson regression models, whereas adjusted rate differences (ARDs) were estimated using modified generalized linear models with a normal distribution and identity link43 (eMethods in Supplement 1).
As a complementary analysis, we performed an 180-day intention-to-treat (ITT) analysis in which participants were followed for up to 180 days regardless of subsequent treatment changes. This analysis complements the primary as-treated analysis by estimating the effect associated with the initial treatment strategy at cohort entry.
To further complement the primary analyses comparing OAC use with nonuse, we performed direct active-comparator analyses comparing those receiving apixaban with those receiving rivaroxaban and warfarin. Separate active-comparator cohorts were constructed from eligible patients receiving OACs, and 1:1 PS matching was performed using the same baseline covariates and analytic approach as in the primary analyses. We also conducted a tipping-point analysis using the ARDs for ischemic stroke and major bleeding to identify the relative weighting of ischemic strokes vs major bleeding at which the overall benefit-risk balance favored anticoagulation (eMethods in Supplement 1).
Subgroup and Sensitivity Analyses
Subgroup analyses were conducted according to a claims-based frailty index (<0.35 vs ≥0.35). Patients were classified into a moderate to severe frail subgroup (claims-based frailty index ≥0.35) and a nonfrail or mildly frail subgroup (frail index <0.35). PS estimation and matching were conducted within frailty subgroups. Heterogeneity across subgroups was assessed using inverse variance-weighted z test (P for heterogeneity ≤ .05 was considered statistically significant).44
Sensitivity analyses included (1) an additional 365-day ITT analysis; (2) an as-treated analysis allowing a longer permissible gap in OAC exposure (60 days); (3) a high-dimensional PS adjustment to account for residual confounding by automatically identifying and incorporating additional proxy variables45,46,47,48; (4) an inverse probability of censoring weighting (IPCW) analysis; (5) a Fine and Gray competing-risk model to account for the competing risk of death; (6) an analysis requiring at least 1 health care encounter within 14 days before CED, which represented a recent opportunity for anticoagulation initiation; and (7) a dose-stratified analysis according to the prescribed OAC dose at treatment initiation (apixaban: 5 vs 2.5 mg; rivaroxaban: 20 vs 15 mg). Analyses were conducted using the Aetion Evidence Generation Platform, version 5.18.0 (Aetion) and SAS software, version 9.4 (SAS Institute Inc).49,50,51
Results
Overall Baseline Characteristics
After PS matching, the study comprised 26 940 nursing home residents (median [IQR] age, 82 [74-88] years; 17 504 [65.0%] female and 9436 [35.0%] male; 3057 [11.3%] Black, 22 419 [83.2%] White, and 1464 [5.4%] unknown or other, including Asian, Hispanic, North American Native, and missing race categories), including PS-matched cohorts of 7600 residents receiving apixaban, 2654 receiving rivaroxaban, and 3216 receiving warfarin (Table 1). Before PS matching, those not receiving OACs were older (mean [SD] age, 83.0 [8.6] vs 81.1 [8.4] years), had lower prevalence of prior ischemic stroke, had higher prevalence of intracranial or major gastrointestinal bleeding, and had greater ADL disability than those receiving OACs. The entire population had a high burden of comorbidity, particularly heart failure and diabetes, and 16 250 (39.5%) were moderately to severely frail (eTable 3 in Supplement 1). After PS matching, the baseline characteristics were well balanced across all matched cohorts (all SMDs <0.1) (Table 1).
Table 1. Characteristics of Long-Term Nursing Home Residents With Atrial Fibrillation and ADL Disability Receiving Oral Anticoagulants.
| Characteristic | Apixaban cohort | Rivaroxaban cohort | Warfarin cohort | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Apixaban group, No. (%)a (n = 7600) | Matched group, No. (%)a (n = 7600) | SMD | Rivaroxaban group, No. (%)a (n = 2654) | Matched group, No. (%)a (n = 2654) | SMD | Warfarin group, No. (%)a (n = 3216) | Matched group, No. (%)a (n = 3216) | SMD | |
| Sociodemographic | |||||||||
| Age, mean (SD), y | 82.1 (8.3) | 82.2 (8.7) | 0.00 | 81.9 (8.2) | 81.8 (8.7) | 0.01 | 81.9 (8.1) | 81.7 (8.4) | 0.02 |
| Sex | |||||||||
| Female | 5074 (66.8) | 5058 (66.6) | 0.00 | 1788 (67.4) | 1785 (67.3) | 0.00 | 2154 (67.0) | 2158 (67.1) | 0.00 |
| Male | 2526 (33.2) | 2542 (33.4) | 0.01 | 866 (32.6) | 869 (32.7) | 0.03 | 1062 (33.0) | 1058 (32.9) | 0.01 |
| Raceb | |||||||||
| Black | 898 (11.8) | 853 (11.2) | 0.02 | 262 (9.9) | 270 (10.2) | 0.01 | 376 (11.7) | 398 (12.4) | 0.02 |
| White | 6279 (82.6) | 6330 (83.3) | 0.02 | 2241 (84.4) | 2234 (84.2) | 0.01 | 2678 (83.3) | 2657 (82.6) | 0.02 |
| Other or missing | 423 (5.6) | 417 (5.5) | 0.00 | 151 (5.7) | 150 (5.7) | 0.00 | 162 (5.0) | 161 (5.0) | 0.00 |
| Dual status (yes or no) | 3587 (47.2) | 3598 (47.3) | 0.00 | 1290 (48.6) | 1308 (49.3) | 0.01 | 1562 (48.6) | 1605 (49.9) | 0.03 |
| Risk scores, mean (SD) | |||||||||
| CHA2DS2-VASc | 5.8 (1.4) | 5.8 (1.4) | 0.00 | 5.8 (1.4) | 5.8 (1.4) | 0.00 | 5.9 (1.4) | 5.9 (1.4) | 0.01 |
| HAS-BLED | 2.9 (0.7) | 2.9 (0.7) | 0.01 | 2.9 (0.7) | 2.9 (0.7) | 0.02 | 2.9 (0.7) | 2.9 (0.7) | 0.01 |
| Mean CCI | 7.7 (3.0) | 7.7 (3.0) | 0.00 | 7.2 (3.0) | 7.2 (3.0) | 0.00 | 7.5 (3.1) | 7.5 (3.1) | 0.00 |
| Mean CFI | 0.3 (0.1) | 0.3 (0.1) | 0.01 | 0.3 (0.1) | 0.3 (0.1) | 0.03 | 0.3 (0.1) | 0.3 (0.1) | 0.00 |
| Cardiovascular conditions | |||||||||
| Acute myocardial infarction | 917 (12.1) | 901 (11.9) | 0.01 | 280 (10.6) | 280 (10.6) | 0.00 | 397 (12.3) | 408 (12.7) | 0.01 |
| Congestive heart failure | 5206 (68.5) | 5210 (68.6) | 0.00 | 1848 (69.6) | 1849 (69.7) | 0.00 | 2383 (74.1) | 2386 (74.2) | 0.00 |
| Hypertension | 7268 (95.6) | 7264 (95.6) | 0.00 | 2535 (95.5) | 2532 (95.4) | 0.01 | 3093 (96.2) | 3092 (96.1) | 0.00 |
| Ischemic heart disease | 4539 (59.7) | 4546 (59.8) | 0.00 | 1553 (58.5) | 1532 (57.7) | 0.02 | 1958 (60.9) | 1965 (61.1) | 0.00 |
| Ischemic stroke | 1393 (18.3) | 1355 (17.8) | 0.01 | 317 (11.9) | 335 (12.6) | 0.02 | 371 (11.5) | 383 (11.9) | 0.01 |
| PVD or PVD surgery | 2648 (34.8) | 2673 (35.2) | 0.01 | 987 (37.2) | 968 (36.5) | 0.02 | 1277 (39.7) | 1251 (38.9) | 0.02 |
| Syncope | 1187 (15.6) | 1197 (15.8) | 0.00 | 389 (14.7) | 382 (14.4) | 0.01 | 473 (14.7) | 483 (15.0) | 0.01 |
| Noncardiovascular conditions | |||||||||
| Acute kidney failure | 3515 (46.3) | 3464 (45.6) | 0.01 | 1075 (40.5) | 1053 (39.7) | 0.02 | 1321 (41.1) | 1332 (41.4) | 0.01 |
| COPD | 3420 (45.0) | 3436 (45.2) | 0.00 | 1212 (45.7) | 1190 (44.8) | 0.02 | 1442 (44.8) | 1446 (45.0) | 0.00 |
| Diabetes | 4326 (56.9) | 4321 (56.9) | 0.00 | 1507 (56.8) | 1473 (55.5) | 0.03 | 1877 (58.4) | 1876 (58.3) | 0.00 |
| Falls | 1702 (22.4) | 1700 (22.4) | 0.00 | 548 (20.6) | 541 (20.4) | 0.01 | 671 (20.9) | 677 (21.1) | 0.01 |
| Fractures | 1745 (23.0) | 1777 (23.4) | 0.01 | 635 (23.9) | 626 (23.6) | 0.01 | 746 (23.2) | 758 (23.6) | 0.01 |
| Intracranial bleed | 251 (3.3) | 239 (3.1) | 0.01 | 80 (3.0) | 71 (2.7) | 0.02 | 103 (3.2) | 106 (3.3) | 0.01 |
| Major gastrointestinal bleeding | 1476 (19.4) | 1451 (19.1) | 0.01 | 514 (19.4) | 514 (19.4) | 0.00 | 709 (22.0) | 729 (22.7) | 0.02 |
| Other bleeding eventc | 1579 (20.8) | 1585 (20.9) | 0.00 | 497 (18.7) | 506 (19.1) | 0.01 | 658 (20.5) | 668 (20.8) | 0.01 |
| Obesity | 1894 (24.9) | 1860 (24.5) | 0.01 | 676 (25.5) | 642 (24.2) | 0.03 | 816 (25.4) | 855 (26.6) | 0.03 |
| Liver disease | 925 (12.2) | 929 (12.2) | 0.02 | 294 (11.1) | 311 (11.7) | 0.02 | 368 (11.4) | 362 (11.3) | 0.01 |
| Malignant tumor | 870 (11.4) | 847 (11.1) | 0.01 | 308 (11.6) | 322 (12.1) | 0.02 | 424 (13.2) | 404 (12.6) | 0.02 |
| Peptic ulcer | 472 (6.2) | 492 (6.5) | 0.01 | 140 (5.3) | 139 (5.2) | 0.00 | 140 (4.4) | 157 (4.9) | 0.03 |
| Smoking | 3120 (41.1) | 3116 (41.0) | 0.00 | 952 (35.9) | 940 (35.4) | 0.01 | 1139 (35.4) | 1157 (36.0) | 0.01 |
| Cardiovascular medications | |||||||||
| ACEIs | 2118 (27.9) | 2149 (28.3) | 0.01 | 854 (32.2) | 835 (31.5) | 0.02 | 1037 (32.2) | 1052 (32.7) | 0.01 |
| Angiotensin II receptor blockers | 262 (3.4) | 274 (3.6) | 0.01 | 103 (3.9) | 108 (4.1) | 0.01 | 140 (4.4) | 126 (3.9) | 0.02 |
| Antiarrhythmic agents | 1046 (13.8) | 1069 (14.1) | 0.01 | 351 (13.2) | 348 (13.1) | 0.00 | 390 (12.1) | 397 (12.3) | 0.01 |
| Antiplatelet agent | 1563 (20.6) | 1599 (21.0) | 0.01 | 544 (20.5) | 525 (19.8) | 0.02 | 685 (21.3) | 691 (21.5) | 0.01 |
| β-Blockers | 5024 (66.1) | 5066 (66.7) | 0.01 | 1705 (64.2) | 1689 (63.6) | 0.01 | 2138 (66.5) | 2122 (66.0) | 0.01 |
| Calcium channel blockers | 219 (2.9) | 213 (2.8) | 0.01 | 76 (2.9) | 73 (2.8) | 0.01 | 90 (2.8) | 92 (2.9) | 0.00 |
| Diuretics | 4834 (63.6) | 4825 (63.5) | 0.00 | 1738 (65.5) | 1728 (65.1) | 0.01 | 2146 (66.7) | 2148 (66.8) | 0.00 |
| Statins | 5209 (68.5) | 5169 (68.0) | 0.01 | 1731 (65.2) | 1743 (65.7) | 0.01 | 2090 (65.0) | 2095 (65.1) | 0.00 |
| Health care utilization | |||||||||
| No. of office visits, mean (SD) | 5.9 (7.1) | 5.8 (7.4) | 0.00 | 6.0 (7.8) | 5.9 (7.6) | 0.02 | 6.2 (7.5) | 6.2 (7.4) | 0.00 |
| No. of ED visits, mean (SD) | 0.2 (0.5) | 0.2 (0.5) | 0.01 | 0.2 (0.5) | 0.2 (0.5) | 0.02 | 0.2 (0.5) | 0.2 (0.5) | 0.01 |
| No. of hospital days. mean (SD) | 4.3 (5.7) | 4.3 (5.7) | 0.00 | 3.9 (5.7) | 3.9 (5.5) | 0.00 | 4.2 (5.8) | 4.4 (5.8) | 0.03 |
| No. of SNF days, mean (SD) | 12.0 (12.7) | 12.1 (12.7) | 0.01 | 11.7 (12.6) | 11.9 (12.9) | 0.02 | 12.0 (12.8) | 11.8 (12.7) | 0.02 |
| Home health stay | 2276 (29.9) | 2278 (26.0) | 0.00 | 677 (25.5) | 659 (24.8) | 0.02 | 796 (24.8) | 810 (25.2) | 0.01 |
| Geographic region | |||||||||
| North | 1617 (21.3) | 1618 (21.3) | 0.00 | 540 (20.3) | 526 (19.8) | 0.01 | 769 (23.9) | 744 (23.1) | 0.02 |
| Midwest | 1865 (24.5) | 1871 (24.6) | 0.00 | 661 (24.9) | 641 (24.2) | 0.02 | 911 (28.3) | 941 (29.3) | 0.02 |
| South and others | 3147 (41.4) | 3125 (41.1) | 0.01 | 1091 (41.1) | 1106 (41.7) | 0.01 | 1130 (35.1) | 1149 (35.7) | 0.01 |
| West | 971 (12.8) | 986 (13.0) | 0.01 | 362 (13.6) | 381 (14.4) | 0.02 | 406 (12.6) | 382 (11.9) | 0.02 |
| ADL impairment | |||||||||
| Bathing | 7322 (96.3) | 7330 (96.4) | 0.01 | 2558 (96.4) | 2556 (96.3) | 0.00 | 3121 (97.0) | 3115 (96.9) | 0.01 |
| Bed mobility | 6457 (85.0) | 6456 (84.9) | 0.00 | 2281 (85.9) | 2281 (85.9) | 0.00 | 2719 (84.5) | 2714 (84.4) | 0.00 |
| Dressing | 6897 (90.8) | 6910 (90.9) | 0.01 | 2424 (91.3) | 2429 (91.5) | 0.01 | 2933 (91.2) | 2933 (91.2) | 0.00 |
| Feeding | 2271 (29.9) | 2276 (29.9) | 0.00 | 815 (30.7) | 820 (30.9) | 0.00 | 995 (30.9) | 987 (30.7) | 0.01 |
| Grooming | 6592 (86.7) | 6617 (87.1) | 0.01 | 2305 (86.9) | 2311 (87.1) | 0.01 | 2813 (87.5) | 2791 (86.8) | 0.02 |
| Locomotive | 6650 (87.5) | 6640 (87.4) | 0.00 | 2308 (87.0) | 2318 (87.3) | 0.01 | 2818 (87.6) | 2809 (87.3) | 0.01 |
| Toileting | 6784 (89.3) | 6787 (89.3) | 0.00 | 2386 (89.9) | 2378 (89.6) | 0.01 | 2871 (89.3) | 2870 (89.2) | 0.00 |
| Transferring | 6531 (85.9) | 6530 (85.9) | 0.00 | 2302 (86.7) | 2306 (86.9) | 0.00 | 2774 (86.3) | 2775 (86.3) | 0.00 |
| No. of ADL impairment, median (IQR) | 7 (7-8) | 7 (7-8) | 0.00 | 7 (7-8) | 7 (7-8) | 0.05 | 7 (7-8) | 7 (7-8) | 0.00 |
| Behavioral and cognitive impairment | |||||||||
| Behavioral problem | 712 (9.4) | 700 (9.2) | 0.01 | 248 (9.3) | 250 (9.4) | 0.00 | 297 (9.2) | 299 (9.3) | 0.00 |
| Delusion | 266 (3.5) | 251 (3.3) | 0.01 | 107 (4.0) | 105 (4.0) | 0.00 | 112 (3.5) | 106 (3.3) | 0.01 |
| Depression | 631 (8.3) | 634 (8.3) | 0.00 | 231 (8.7) | 226 (8.5) | 0.01 | 260 (8.1) | 286 (8.9) | 0.03 |
| Hallucination | 109 (1.4) | 103 (1.4) | 0.01 | 45 (1.7) | 47 (1.8) | 0.01 | 49 (1.5) | 55 (1.7) | 0.02 |
| Severe cognitive impairment | 2280 (30.0) | 2280 (30.0) | 0.00 | 781 (29.4) | 774 (29.2) | 0.01 | 906 (28.2) | 901 (28.0) | 0.00 |
Abbreviations: ACEIs, angiotensin-converting enzyme inhibitors; ADL, activities of daily living; CCI, Charlson Comorbidity Index; CFI, Claims-Based Frailty Index; CHA2DS2-VASc, congestive heart failure; hypertension; age 75 years or older; diabetes; prior stroke, transient ischemic attack, or thromboembolism; vascular disease; age 65 to 74 years; and sex category; COPD, chronic obstructive pulmonary disease; ED, emergency department; HAS-BLED, hypertension, abnormal kidney or liver function, stroke, bleeding, elderly, and drugs or excess alcohol use; PVD, pulmonary valvular diseases; SMD, standardized mean difference; SNF, skilled nursing facility.
Unless otherwise indicated.
Other race category includes Asian, Hispanic, North American Native, unknown, other, and missing race categories in Medicare.
Other bleeding event was defined as not gastrointestinal and not intracranial bleeding.
Clinical Outcomes for Apixaban Use vs Nonuse
During a median (IQR) follow-up of 149 (50-365) days, apixaban use was associated with a lower rate of ischemic stroke compared with nonuse (14.6 vs 27.6 per 1000 person-years [PYs]; ARR, 0.53; 95% CI, 0.38-0.73; ARD, −12.96; 95% CI, −19.44 to −6.49). Major bleeding rates were higher in those receiving OACs (50.1 vs 31.0 per 1000 PYs; ARR, 1.62; 95% CI, 1.29-2.03; ARD, 19.13; 95% CI, 10.05-28.21). These opposing effects resulted in no significant difference in the composite outcome (ARR, 1.08; 95% CI, 0.90-1.30; ARD, 4.86; 95% CI, −6.31 to 16.03) (Table 2; eTable 4 in Supplement 1).
Table 2. Clinical Outcomes for Oral Anticoagulant Use vs Nonuse in Long-Term Nursing Home Residents With Atrial Fibrillation and Activities of Daily Living Disability.
| Outcome | No. of events (IR per 1000 PY) | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Apixaban cohort (n = 7600 pairs) | Rivaroxaban cohort (n = 2654 pairs) | Warfarin cohort (n = 3216 pairs) | ||||||||||
| Apixaban group | Matched group | ARD (95% CI) | ARR (95% CI) | Rivaroxaban group | Matched group | ARD (95% CI) | ARR (95% CI) | Warfarin group | Matched group | ARD (95% CI) | ARR (95% CI) | |
| Ischemic stroke | ||||||||||||
| Total | 54 (14.6) | 109 (27.6) | −12.96 (−19.44 to −6.49) | 0.53 (0.38 to 0.73) | 16 (12.9) | 35 (26.9) | −13.96 (−24.88 to −3.04) | 0.48 (0.27 to 0.87) | 14 (9.8) | 30 (20.8) | −11.06 (−20.09 to −2.02) | 0.47 (0.25 to 0.88) |
| Frail patients | 25 (18.1) | 30 (19.6) | −1.51 (−11.49 to 8.46) | 0.92 (0.54 to 1.57) | <10 (11.6) | 10 (20.3) | −8.74 (−24.89 to 7.40) | 0.57 (0.19 to 1.67) | <10 (9.4) | 12 (21.9) | −12.42 (−27.29 to 2.45) | 0.43 (0.15 to 1.22) |
| Nonfrai or pre-frail patients | 33 (14.6) | 66 (28.0) | −13.43 (−21.81 to −5.05) | 0.52 (0.34 to 0.79) | 12 (15.6) | 17 (22.1) | −6.48 (−20.21 to 7.26) | 0.71 (0.34 to 1.48) | 6 (7.2) | 17 (20.0) | −12.83 (−23.93 to −1.73) | 0.36 (0.14 to 0.91) |
| P value for heterogeneity by frailty | NA | NA | .08 | .10 | NA | NA | .83 | .66 | NA | NA | .97 | .80 |
| Major bleedinga | ||||||||||||
| Total | 185 (50.1) | 122 (31.0) | 19.13 (10.05 to 28.21) | 1.62 (1.29 to 2.03) | 94 (76.5) | 37 (28.5) | 48.01 (30.02 to 65.99) | 2.68 (1.84 to 3.93) | 132 (93.0) | 44 (30.8) | 62.22 (43.94 to 80.51) | 3.02 (2.15 to 4.25) |
| Frail patients | 72 (52.2) | 53 (34.9) | 17.32 (2.04 to 32.61) | 1.50 (1.05 to 2.13) | 35 (81.7) | 17 (34.8) | 46.96 (15.23 to 78.68) | 2.35 (1.32 to 4.19) | 51 (97.2) | 22 (40.4) | 56.81 (25.25 to 88.38) | 2.41 (1.46 to 3.97) |
| Nonfrail or prefrail patients | 110 (48.7) | 64 (27.2) | 21.50 (10.22 to 32.79) | 1.79 (1.32 to 2.44) | 53 (69.7) | 18 (23.5) | 46.22 (24.54 to 67.89) | 2.97 (1.74 to 5.07) | 79 (95.3) | 23 (27.2) | 68.03 (44.25 to 91.80) | 3.50 (2.20 to 5.56) |
| P value for heterogeneity by frailty | NA | NA | .67 | .46 | NA | NA | .97 | .56 | NA | NA | .58 | .28 |
| Composite of major bleeding or ischemic stroke | ||||||||||||
| Total | 235 (63.9) | 231 (59.0) | 4.86 (−6.31 to 16.03) | 1.08 (0.90 to 1.30) | 109 (88.8) | 71 (54.9) | 33.91 (12.90 to 54.92) | 1.62 (1.20 to 2.18) | 146 (103.0) | 74 (51.9) | 51.17 (30.71 to 71.64) | 1.99 (1.50 to 2.63) |
| Frail patients | 96 (69.9) | 83 (54.9) | 15.01 (−3.28 to 33.30) | 1.27 (0.95 to 1.71) | 40 (93.5) | 27 (55.4) | 38.12 (2.41 to 73.83) | 1.69 (1.04 to 2.75) | 56 (107.0) | 34 (62.5) | 44.45 (9.42 to 79.47) | 1.71 (1.12 to 2.62) |
| Nonfrail or pre-frail patients | 140 (62.2) | 130 (55.6) | 6.54 (−7.51 to 20.59) | 1.12 (0.88 to 1.42) | 64 (84.4) | 34 (44.5) | 39.83 (14.31 to 65.34) | 1.89 (1.25 to 2.87) | 85 (102.6) | 40 (47.5) | 55.10 (28.78 to 81.42) | 2.16 (1.48 to 3.15) |
| P value for heterogeneity by frailty | NA | NA | .47 | .52 | NA | NA | .94 | .73 | NA | NA | .42 | .63 |
Abbreviations: ARD, adjusted rate difference; ARR, adjusted rate ratio; IR, incidence rate; NA, not applicable; PY, person-years.
Major bleeding was defined as any intracranial bleeding, major gastrointestinal bleeding, or other extracranial bleeding requiring hospitalization.
Those receiving apixaban had an increased rate of major gastrointestinal bleeding (ARR, 1.61; 95% CI, 1.19-2.17; ARD, 10.97; 95% CI, 4.08-17.86) but no statistically significant increase in intracranial bleeding (ARR, 1.52; 95% CI, 0.96-2.40; ARD, 4.05; 95% CI, −0.41 to 8.50). Apixaban use was associated with lower all-cause mortality rates (ARR, 0.90; 95% CI, 0.85-0.96; ARD, −57.74; 95% CI, −91.17 to −24.30) (Figure 1). In subgroup analyses, the association between apixaban use and lower ischemic stroke rates appeared attenuated among frail individuals (ARR, 0.92; 95% CI, 0.54-1.57; ARD, −1.51; 95% CI, −11.49 to 8.46), although evidence of heterogeneity was limited (P for heterogeneity = .08) (Table 2).
Figure 1. Dot Plots of Adjusted Rate Ratios (ARRs) of Secondary Outcomes in Long-Term Nursing Home Residents With Atrial Fibrillation and Activities of Daily Living Disability Between Propensity Score–Matched Patients Taking vs Not Taking Oral Anticoagulants.

Secondary outcomes included major gastrointestinal bleeding, intracranial bleeding, and all-cause mortality. The vertical dashed line indicates a rate ratio of 1.0. IR indicates incidence rate; PY, person-years.
Clinical Outcomes for Rivaroxaban Use vs Nonuse
During a median (IQR) follow-up of 126 (48-365) days, those receiving rivaroxaban had a lower rate of ischemic stroke than those not receiving rivaroxaban (12.9 vs 26.9 per 1000 PYs; ARR, 0.48; 95% CI, 0.27-0.87; ARD, −13.96; 95% CI, −24.88 to −3.04). The rate of major bleeding was higher among those receiving rivaroxaban vs not (76.5 vs 28.5 per 1000 PYs; ARR, 2.68; 95% CI, 1.84-3.93; ARD, 48.01; 95% CI, 30.02-65.99). The increased bleeding rate outweighed the stroke reduction, resulting in an increased rate of composite outcome (ARR, 1.62; 95% CI, 1.20-2.18; ARD, 33.91; 95% CI, 12.90-54.92).
Rivaroxaban use was associated with a substantially higher rate of major gastrointestinal bleeding (ARR, 3.62; 95% CI, 2.17-6.03; ARD, 38.13; 95% CI, 23.74-52.52) and no significant difference in intracranial bleeding (ARR, 1.21; 95% CI, 0.58-2.55; ARD, 2.14; 95% CI, −6.04 to 10.31). Rivaroxaban use was not associated with lower all-cause mortality (ARR, 0.90; 95% CI, 0.81-1.01; ARD, −51.13; 95% CI, −106.19 to 3.93) (Table 2 and Figure 1; eTable 4 in Supplement 1).
Clinical Outcomes for Warfarin Use vs Nonuse
During a median (IQR) follow-up of 110 (42-334) days, those receiving warfarin had a lower rate of ischemic stroke than those not receiving warfarin (9.8 vs 20.8 per 1000 PYs; ARR, 0.47; 95% CI, 0.25-0.88; ARD, −11.06; 95% CI, −20.09 to −2.02). They also experienced a higher rate of major bleeding (93.0 vs 30.8 per 1000 PYs; ARR, 3.02; 95% CI, 2.15-4.25; ARD, 62.22; 95% CI, 43.94-80.51). Overall, warfarin use was associated with an increased rate of composite outcome (ARR, 1.99; 95% CI, 1.50-2.63; ARD, 51.17; 95% CI, 30.71-71.64). Warfarin was also associated with increased rate of major gastrointestinal bleeding (ARR, 2.95; 95% CI, 1.92-4.53; ARD, 38.03; 95% CI, 23.63-52.43), intracranial bleeding (ARR, 3.20; 95% CI, 1.62-6.30; ARD, 16.78; 95% CI, 7.52-26.04) and all-cause mortality (ARR, 1.16; 95% CI, 1.05-1.29; ARD, 76.95; 95% CI, 24.86-129.05) (Table 2 and Figure 1; eTable 4 in Supplement 1).
ITT Analysis
Compared with the primary as-treated analyses, the 180-day ITT analyses showed attenuated associations. The reductions in ischemic stroke were no longer statistically significant, whereas the increased risks of major bleeding and the composite outcome remained significant across all 3 OAC cohorts. The lower mortality rate associated with apixaban was also attenuated (eTable 6 in Supplement 1).
Direct Active-Comparator Analyses
In the active-comparator analyses, apixaban was associated with similar ischemic stroke rates but lower rates of major bleeding and the composite outcome rates than rivaroxaban and warfarin. Compared with warfarin, apixaban was associated with lower rates of intracranial bleeding and all-cause mortality, whereas compared with rivaroxaban, it was associated with lower rates of major gastrointestinal bleeding (Table 3).
Table 3. Direct Active-Comparator Analyses of Oral Anticoagulant Use in Long-Term Nursing Home Residents With Atrial Fibrillation and Activities of Daily Living Disability.
| Outcome | Apixaban vs rivaroxaban cohorts (n = 3180 pairs) | Apixaban vs warfarin cohorts (n = 3193 pairs) | ||||||
|---|---|---|---|---|---|---|---|---|
| No. of events (IR per 1000 PY) | No. of events (IR per 1000 PY) | |||||||
| Apixaban | Rivaroxaban | ARD (95% CI) | ARR (95% CI) | Apixaban | Warfarin | ARD (95% CI) | ARR (95% CI) | |
| Ischemic stroke | 26 (15.8) | 22 (14.6) | 1.2 (−7.4 to 9.9) | 1.08 (0.61 to 1.92) | 20 (12.1) | 13 (9.2) | 2.9 (−4.4 to 10.2) | 1.31 (0.65 to 2.65) |
| Major bleedinga | 64 (39.0) | 114 (76.2) | −37.2 (−54.4 to −20.0) | 0.51 (0.38 to 0.70) | 64 (38.7) | 135 (96.3) | −57.7 (−76.7 to −38.7) | 0.40 (0.30 to 0.54) |
| Composite of major bleeding or ischemic stroke | 88 (53.8) | 135 (90.4) | −36.6 (−55.9 to −17.3) | 0.60 (0.45 to 0.78) | 84 (50.9) | 148 (105.8) | −55.0 (−75.3 to −34.6) | 0.48 (0.37 to 0.63) |
Abbreviations: ARD, adjusted rate difference; ARR, adjusted rate ratio; IR, incidence rate; PY, person-years.
Tipping-Point Analysis
We evaluated the weighted benefit-risk balance across increasing relative weights assigned to ischemic stroke vs major bleeding. Increasing the relative weight assigned to ischemic stroke shifted the benefit-risk balance in favor of anticoagulation. The tipping point at which the benefit from stroke reduction outweighed increased bleeding risk was 1.48 for apixaban, 3.44 for rivaroxaban, and 5.63 for warfarin (Figure 2).
Figure 2. Dot Plots of Tipping-Point Analysis of the Benefit-Risk Balance Between Ischemic Stroke and Major Bleeding in Long-Term Nursing Home Residents With Atrial Fibrillation and Activities of Daily Living Disability in Patients Receiving vs Not Receiving Oral Anticoagulants.

The relative weight (clinical impact) of ischemic stroke vs major bleeding ranges from 1 to 10. Blue circles indicate the adjusted rate difference (ARD) at each relative weight, and error bars indicate 95% CIs. Green circles indicate the relative weights evaluated. The orange horizontal dashed line indicates an ARD of 0. The orange circle and vertical dashed line indicate the tipping point at which the estimated ARD crosses 0; weighting ischemic stroke more heavily than this threshold shifts the composite outcome toward a clinical benefit of apixaban, rivaroxaban, or warfarin compared with nonuse. PY indicates person-years.
Sensitivity Analyses
Sensitivity analyses, including the 365-day ITT analysis, high-dimensional PS adjustment, IPCW, Fine and Gray competing-risk models, and the health care-encounter restriction, yielded findings consistent with the primary analyses (eTable 5 in Supplement 1). Absolute cumulative incidence estimates at 180 and 365 days after CED from the Fine and Gray competing-risk analyses are presented in eFigure 2 in Supplement 1. Dose-stratified analyses were generally consistent with the primary findings, although estimates for rivaroxaban were less precise because of smaller sample sizes (eTable 7 in Supplement 1).
Discussion
In this large cohort study of nursing home residents with AF and ADL disability, OAC use was associated with lower ischemic stroke rates but higher major bleeding rates compared with nonuse across all 3 OAC cohorts. The reduction in ischemic stroke rates associated with apixaban appeared attenuated among frail residents, although evidence of heterogeneity by frailty was limited. Among the OACs evaluated, apixaban demonstrated the most favorable benefit-risk profile, with anticoagulation becoming favorable when ischemic stroke was weighted only 1.5 times more than major bleeding. In contrast, substantially greater weighting was required for rivaroxaban and warfarin. The favorable results for apixaban were further supported by direct comparisons with warfarin and rivaroxaban for which rates of major bleeding were substantially lower with apixaban, whereas the rates of ischemic stroke were similar across the OACs.
Our findings are consistent with prior observational studies14,52 showing that OAC use reduces the ischemic stroke risk at the cost of increased bleeding risk in older adults with AF, including those residing in US long-term care facilities. Our study extends these findings by evaluating a contemporary national cohort of US nursing home residents with detailed functional status from MDS data and by directly comparing multiple OACs. Prior studies13,15,16,53 have also reported higher rates of OAC discontinuation among residents with ADL disability. Together, these findings highlight the clinical complexity of anticoagulation decisions in nursing home residents, whose limited life expectancy and increased susceptibility to bleeding may attenuate the overall net clinical benefit of OAC therapy.54,55
In our study, apixaban use was not associated with a significant increase in the composite outcome. This result contrasts with the AVERROES trial,56 which demonstrated a clear net benefit of apixaban over aspirin use among patients with AF who were not candidates to receive warfarin. Compared with our cohort, the AVERROES trial population was substantially younger (mean age of approximately 70 years vs 82 years in our cohort); did not include measures of functional impairment, such as ADL disability; and had much lower rates of major bleeding (approximately 12-14 per 1000 PYs) than we observed (50.1-93.0 per 1000 PYs). These differences may explain the attenuated net benefit in our study and suggest treatment effects differ in frail populations. Consistent with prior observational studies,54,57 our results are in line with the hypothesis that the net clinical benefit of OACs may diminish with advancing age and frailty.
The complementary 180-day ITT analyses showed attenuated effect estimates, although the overall pattern of findings remained similar. The associations with ischemic stroke were no longer statistically significant, whereas the increased risks of major bleeding and the composite outcome remained significant across all 3 OAC cohorts, supporting the robustness of the primary as-treated findings. The reduction in all-cause mortality associated with apixaban was also attenuated, suggesting that this finding should be interpreted cautiously because all-cause mortality is generally more susceptible to residual confounding than disease-specific outcomes in observational studies.58 Direct active-comparator analyses demonstrated similar ischemic stroke rates but lower major bleeding and composite outcome rates with apixaban than with rivaroxaban and warfarin, providing complementary evidence from comparisons that are less susceptible to treatment-selection bias among anticoagulant users. IPCW that addressed informative censoring and the health care encounter sensitivity analysis also yielded findings consistent with the primary analyses, supporting the robustness of our results.
Previous studies59,60,61,62,63 have consistently shown that ischemic stroke is associated with greater mortality and long-term disability than most major extracranial bleeding events and that patients generally place greater value on stroke prevention than avoiding non-intracranial bleeding. Consistent with these observations, our tipping-point analyses showed that only a 1.5-fold greater weighting of ischemic stroke than major bleeding was required for the benefit-risk balance to favor anticoagulation with apixaban compared with 3.4-fold for rivaroxaban and 5.6-fold for warfarin. Current guidelines do not specifically address anticoagulation in nursing home residents with ADL disability. Nevertheless, our findings suggest that the overall benefit-harm balance differs across OACs.7
Strengths and Limitations
Our study has several strengths. First, we used a target trial emulation framework, which aligns observational analyses with key design principles of randomized clinical trials and has been validated against randomized clinical trial benchmarks.24,25 Second, we addressed an important evidence gap by studying nursing home residents with AF and ADL disability, a population that has been largely underrepresented in randomized clinical trials. Third, linkage with the MDS 3.0 enabled adjustment for detailed geriatric characteristics, including cognitive impairment and functional status, that are unavailable in claims data alone.
However, several limitations of this study also warrant consideration. First, our analysis focused on 3 commonly used OACs (ie, warfarin, apixaban, and rivaroxaban). Edoxaban and dabigatran were not evaluated because their use was infrequent among long-term nursing home residents with ADL disability during our study period, resulting in insufficient sample sizes for reliable comparative analyses.64,65 Second, despite using a design that focuses on new use of OACs, PS matching with 111 baseline covariates, and multiple sensitivity analyses, residual confounding by indication and informative censoring cannot be completely eliminated because anticoagulation decisions in nursing home residents are highly individualized and influenced by factors that are incompletely captured in claims data, including patient preferences, anticipated life expectancy, and goals of care. Third, although we incorporated a validated claims-based prediction of TTR, observed international normalized ratio values and actual TTR were unavailable. Therefore, the warfarin findings should be interpreted as reflecting routine clinical practice rather than optimal anticoagulation control. Fourth, frailty was defined using a claims-based index, which may have resulted in misclassification. Finally, because our study population consisted of Medicare beneficiaries only, the findings may not be generalized to uninsured or commercially insured populations.
Conclusions
Among long-term nursing home residents with AF and ADL disability, OAC use was associated with lower ischemic stroke rates but higher major bleeding rates compared with nonuse. Among the 3 OACs evaluated, apixaban demonstrated the most favorable benefit-risk profile, supported by both tipping-point and direct active-comparator analyses. These findings provide evidence to inform individualized anticoagulation decisions in this at-risk population and may also help guide OAC selection when anticoagulation is considered appropriate.
eFigure 1. Inclusion and Exclusion Criteria of the Three OAC Cohorts (i.e. Warfarin, Apixaban and Rivaroxaban Users vs Non-Users Cohorts) among Long-term Nursing Home Residents With Atrial Fibrillation and ADL Disability
eFigure 2. Cumulative Incidence Function for Major Bleeding Comparing Apixaban Users and Matched Non-users, Accounting for the Competing Risk of Death
eTable 1. Target Trial Emulation Table
eTable 2. Cohorts Selection Among Long-term Nursing Home Residents With Atrial Fibrillation and ADL Disability
eTable 3. Patient Characteristics of the OAC Users (i.e., Warfarin, Apixaban, Rivaroxaban) vs. Nonuser Among Long-term Nursing Home Residents With Atrial Fibrillation and ADL Disability
eTable 4. Follow-up and Censoring Reasons After 1:1 Propensity Score Matching among Long-term Nursing Home Residents With Atrial Fibrillation and ADL Disability
eTable 5. Primary vs Sensitivity Analyses Comparing the Primary Outcomes Among Long-term Nursing Home Residents With Atrial Fibrillation and ADL Disability
eTable 6. Adjusted Rate Ratios and Rate Differences of Major Bleeding and Ischemic Stroke in the 180-Day Intention-to-Treat (ITT) Analyses Comparing Propensity Score–Matched Oral Anticoagulant Users vs Non-users Among Long-term Nursing Home Residents With Atrial Fibrillation and ADL Disability
eTable 7. Adjusted Rate Ratios and Rate Differences of Major Bleeding, Ischemic Stroke, and Composite Outcome Comparing Standard- and Reduced-Dose Oral Anticoagulant Users with Non-users among Long-term Nursing Home Residents With Atrial Fibrillation and ADL Disability
eTable 8. Variable Definitions
Data Sharing Statement
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
eFigure 1. Inclusion and Exclusion Criteria of the Three OAC Cohorts (i.e. Warfarin, Apixaban and Rivaroxaban Users vs Non-Users Cohorts) among Long-term Nursing Home Residents With Atrial Fibrillation and ADL Disability
eFigure 2. Cumulative Incidence Function for Major Bleeding Comparing Apixaban Users and Matched Non-users, Accounting for the Competing Risk of Death
eTable 1. Target Trial Emulation Table
eTable 2. Cohorts Selection Among Long-term Nursing Home Residents With Atrial Fibrillation and ADL Disability
eTable 3. Patient Characteristics of the OAC Users (i.e., Warfarin, Apixaban, Rivaroxaban) vs. Nonuser Among Long-term Nursing Home Residents With Atrial Fibrillation and ADL Disability
eTable 4. Follow-up and Censoring Reasons After 1:1 Propensity Score Matching among Long-term Nursing Home Residents With Atrial Fibrillation and ADL Disability
eTable 5. Primary vs Sensitivity Analyses Comparing the Primary Outcomes Among Long-term Nursing Home Residents With Atrial Fibrillation and ADL Disability
eTable 6. Adjusted Rate Ratios and Rate Differences of Major Bleeding and Ischemic Stroke in the 180-Day Intention-to-Treat (ITT) Analyses Comparing Propensity Score–Matched Oral Anticoagulant Users vs Non-users Among Long-term Nursing Home Residents With Atrial Fibrillation and ADL Disability
eTable 7. Adjusted Rate Ratios and Rate Differences of Major Bleeding, Ischemic Stroke, and Composite Outcome Comparing Standard- and Reduced-Dose Oral Anticoagulant Users with Non-users among Long-term Nursing Home Residents With Atrial Fibrillation and ADL Disability
eTable 8. Variable Definitions
Data Sharing Statement
