Effectiveness and Safety of Apixaban Versus Warfarin in Atrial Fibrillation Patients With Malignancy: A Propensity-Matched Analysis

Patients with atrial fibrillation and malignancy have increased risks of thromboembolism and bleeding. Evidence comparing apixaban and warfarin in this group remains limited. We aimed to compare effectiveness and safety of apixaban versus warfarin in patients with atrial fibrillation and active malignancy using real-world data from a large multinational cohort. This retrospective cohort study used the TriNetX Global Collaborative Network, de-identified records from 146 healthcare organizations between December 1, 2012, and May 1, 2025. Atrial fibrillation patients with malignancy receiving apixaban or warfarin were matched 1:1 using propensity scores across 74 clinical variables. Outcomes were assessed at 3 months, 6 months, 1 year, and 5 years. Primary endpoints included all-cause mortality, stroke, pulmonary embolism, deep vein thrombosis, gastrointestinal bleeding and intracranial hemorrhage. In this 12.5-year period, 41,764 matched pairs of patients were analyzed. Compared to the warfarin cohort, the apixaban cohort demonstrated lower all-cause mortality at 3 months (OR: 1.05, 95% CI: 1.00–1.10), 6 months (OR: 1.05, 95% CI: 1.01–1.09), 1 year (OR: 1.06, 95% CI: 1.03–1.10), and 5 years (OR: 1.17, 95% CI: 1.13–1.20; all p <0.05). Stroke rates were comparable between groups, while pulmonary embolism, deep vein thrombosis, gastrointestinal bleeding and intracranial hemorrhage were noted less frequent with apixaban. Kaplan–Meier analyses showed early and sustained differences in survival and bleeding outcomes. In conclusion, in atrial fibrillation patients with cancer, apixaban was associated with lower mortality and major bleeding without increasing stroke risk compared to warfarin.

Graphical Abstract

Central Illustration: Efficacy and safety of apixaban versus warfarin in atrial fibrillation patients with malignancy

Atrial fibrillation is the most common cardiac arrhythmia, affecting an estimated 33 million individuals worldwide and contributing significantly to morbidity and mortality from stroke and heart failure. With the rising global burden of cancer and advances in oncologic therapies, an increasing number of patients frequently suffer from malignancy and cardiovascular comorbidities. ,, The coexistence of atrial fibrillation and cancer presents unique therapeutic challenges, particularly regarding anticoagulation. , While vitamin K antagonists, such as warfarin, were long considered standard of care for stroke prevention in atrial fibrillation, direct oral anticoagulants (DOAC), especially apixaban, have become preferred in the general atrial fibrillation population due to their ease of use and favorable safety profile. , However, pivotal randomized trials that established the efficacy of DOAC over warfarin in atrial fibrillation, such as ARISTOTLE (Apixaban for Reduction in Stroke and Other Thromboembolic Events in Atrial Fibrillation) and RE-LY (Randomized Evaluation of Long Term Anticoagulant Therapy With Dabigatran Etexilate), enrolled very few patients with active cancer, typically <3%, thereby limiting the generalizability of their findings to cardio-oncology populations. , Moreover, warfarin management in cancer patients is often complicated by fluctuating nutritional status, hepatic dysfunction, and numerous drug-drug interactions. Although emerging observational studies suggest that apixaban may offer a favorable risk-benefit profile in patients with cancer-associated atrial fibrillation, high-quality comparative data remains limited. , In this context, we conducted a large retrospective cohort study using the TriNetX Global Collaborative Network to compare the effectiveness and safety of apixaban versus warfarin in adults with atrial fibrillation and malignancy.

Methods

Data Source

This study utilized the TriNetX Global Collaborative Network, a federated health research platform comprising real-time, deidentified electronic medical records (EMRs) from 146 healthcare organizations (HCOs) across multiple countries. The database includes structured information on demographics, diagnoses, procedures, medications, and laboratory results. All data are deidentified and compliant with the Section §164.514 of the Health Insurance Portability and Accountability Act (HIPAA) and the U.S. Department of Health and Human Services’ standards for anonymization. No Institutional Review Board approval was required for this analysis of deidentified data.

Study Design and Population

This was a retrospective cohort study between December 1, 2012, and May 1, 2025, comparing clinical outcomes in adult patients (≥18 years) with atrial fibrillation and malignancy who were treated with either warfarin or apixaban. Malignancy was defined by International Classification of Diseases 10th edition codes for solid and hematologic cancers occurring within 5 years prior or concurrent with atrial fibrillation diagnosis. The earliest date meeting both atrial fibrillation and malignancy criteria was designated as the index event ( Supplementary Table S1 and S2 ). Patients were followed from the index date until the end of the defined time windows: 3 months, 6 months, 1 year, and 5 years. Patients with outcomes prior to the index event were excluded from analysis for that specific outcome.

Outcomes and Definitions

Clinical outcomes were identified using International Classification of Diseases 10th edition codes and included efficacy outcomes—all-cause mortality, thrombotic stroke, embolic stroke, pulmonary embolism (PE) and deep vein thrombosis (DVT), and safety outcomes—gastrointestinal bleeding, traumatic intracranial hemorrhage (ICH), and nontraumatic ICH ( Supplementary Table S3 ).

Statistical Analysis

To reduce baseline differences and to minimize confounding, 1:1 propensity score matching (PSM) was performed using logistic regression based on 74 baseline variables across 4 domains—demographics (age at index, current age, sex, race), comorbidities (hypertension, diabetes, chronic kidney disease, ischemic heart disease, cardiomyopathy, heart failure, obesity, alcohol/nicotine/cannabis use, respiratory diseases, sleep disorders, malnutrition, body mass index, and detailed malignancy subtypes), medications (anticoagulants, antiplatelets, antihypertensives, and antihyperglycemic agents), and laboratory values and vitals (hemoglobin A1c, troponin, B-type natriuretic peptide, lipid profile, natriuretic peptides, blood pressure, heart rate, and left ventricular ejection fraction). The TriNetX platform utilizes “greedy nearest-neighbor matching” for PSM with a caliper of 0.1 pooled standard deviation of the linear propensity scores to control for differences in the two cohorts. Standardized mean differences were used to assess balance for the covariates, with <0.1 considered as well-balanced ( Table 1 , Supplementary Table S4 and S5 ). The primary analysis was a measure of association comparing event rates between groups at 3 months, 6 months, 1 year, and 5 years postindex. Outcomes were expressed as event proportions and compared using odds ratios (OR) with 95% confidence intervals (CI). Statistical significance was defined as a two-sided p-value <0.05. Survival analyses were conducted using Kaplan–Meier estimates with censoring at last known follow-up. All analyses were performed using the in-built TriNetX Analytics Platform (TriNetX, Inc.; Cambridge, MA, USA), version as of June 11, 2025.

Table 1

Baseline characteristics of atrial fibrillation patients with malignancy on warfarin versus apixaban

Characteristic Before propensity score matching After propensity score matching
Warfarin ( n = 66,321) Apixaban ( n = 144,485) p Standard difference Warfarin ( n = 41,764) Apixaban ( n = 41,764) p Standard difference
Demographics
Current Age (y) 81.5 ± 8.8 78.6 ± 9.1 <0.01 0.329 80.7 ± 9.3 80.7 ± 8.2 0.55 0.004
Age at Index (y) 75.3 ± 9.6 75.1 ± 9.4 <0.01 0.024 75.7 ± 10.1 75.6 ± 8.6 0.75 0.002
White race 54,427 (79.2%) 113,023 (76.3%) <0.01 0.071 32,693 (78.3%) 32,862 (78.7%) 0.15 0.01
African American race 6,121 (8.9%) 13,729 (9.3%) <0.01 0.012 3,731 (8.9) 3,774 (9.0) 0.60 0.004
Asian race 1,493 (2.2%) 4,144 (2.8%) <0.01 0.04 926 (2.2%) 884 (2.1%) 0.32 0.007
Female sex 24,458 (35.6%) 54,661 (36.9%) <0.01 0.027 15,094 (36.1%) 15,189 (36.4%) 0.5 0.005
Male sex 41,917 (61.0%) 87,766 (59.2%) <0.01 0.037 24,943 (59.7%) 24,912 (59.6%) 0.88 0.002
Comorbidities
Thyroid disorders 17,257 (25.1%) 39,088 (26.4%) <0.01 0.029 10,749 (25.7%) 10,894 (26.1%) 0.25 0.008
Diabetes mellitus 25,030 (36.4%) 52,686 (35.6%) <0.01 0.018 15,097 (36.1%) 15,138 (36.2%) 0.77 0.002
Overweight/ obesity 17,827 (26.0%) 44,019 (29.7%) <0.01 0.084 11,402 (27.3%) 11,595 (27.8%) 0.14 0.01
Hypertension 51,970 (75.7%) 113,099 (76.3%) 0.01 0.016 31,637 (75.8%) 31,633 (75.7%) 0.97 <0.001
Ischemic heart disease 32,171 (46.8%) 65,929 (44.5%) <0.01 0.047 19,438 (46.5%) 19,712 (47.2%) 0.06 0.013
Cardiomyopathy 11,970 (17.4%) 21,517 (14.5%) <0.01 0.079 6,859 (16.4%) 7,114 (17.0%) 0.02 0.016
Heart failure 29,636 (43.1%) 57,048 (38.5%) <0.01 0.095 17,681 (42.3%) 18,055 (43.2%) <0.01 0.018
Cerebral infarction 8,659 (12.6%) 18,870 (12.7%) 0.4 0.004 5,424 (13.0%) 5,547 (13.3%) 0.21 0.009
Gastroesophageal reflux disease 21,836 (31.8%) 53,454 (36.1%) <0.01 0.091 13,973 (33.5%) 14,288 (34.2%) 0.02 0.016
Acute kidney injury 18,329 (26.7%) 42,680 (28.8%) <0.01 0.047 11,760 (28.2%) 12,223 (29.3%) <0.01 0.025
Chronic kidney disease 22,571 (32.9%) 46,311 (31.3%) <0.01 0.034 13,852 (33.2%) 14,076 (33.7%) 0.1 0.011
Alcohol disorders 3,140 (4.6%) 8,484 (5.7%) <0.01 0.052 1,971 (4.7%) 2,087 (5.0%) 0.06 0.013
Cannabis disorders 609 (0.9%) 2,056 (1.4%) <0.01 0.047 438 (1.0%) 463 (1.1%) 0.40 0.006
Nicotine dependence 9,033 (13.2%) 23,892 (16.1%) <0.01 0.084 5,735 (13.7%) 5,794 (13.9%) 0.55 0.004
Lower respiratory diseases 24,008 (35.0%) 53,801 (36.3%) <0.01 0.028 14,704 (35.2%) 14,743 (35.3%) 0.78 0.002
Osteoarthritis 23,094 (33.6%) 53,667 (36.2%) <0.01 0.054 14,535 (34.8%) 14,859 (35.6%) 0.02 0.016
Spondylopathies 14,118 (20.6%) 35,284 (23.8%) <0.01 0.078 9,078 (21.7%) 9,273 (22.2%) 0.10 0.011
Malnutrition 6,003 (8.7%) 17,944 (12.1%) <0.01 0.11 4,233 (10.1%) 4,306 (10.3%) 0.40 0.006
Acute respiratory failure 5,000 (7.3%) 7,726 (5.2%) <0.01 0.085 2,732 (6.5%) 2,729 (6.5%) 0.97 <0.001
Sleep disorders 19,768 (28.8%) 45,223 (30.5%) <0.01 0.038 12,240 (29.3%) 12,501 (29.9%) 0.05 0.014
Medications
Beta blockers 51,118 (74.4%) 111,651 (75.4%) <0.01 0.021 30,365 (72.7%) 30,480 (73.0%) 0.37 0.006
Calcium channel blockers 33,191 (48.3%) 77,048 (52.0%) <0.01 0.074 20,301 (48.6%) 20,710 (49.6%) <0.01 0.02
Antianginals 20,779 (30.3%) 41,154 (27.8%) <0.01 0.055 12,157 (29.1%) 12,538 (30.0%) <0.01 0.02
Antiarrhythmics 43,583 (63.5%) 105,537 (71.2%) <0.01 0.166 27,411 (65.6%) 27,556 (66.0%) 0.29 0.007
Antiepileptics 43,108 (62.8%) 95,080 (64.2%) <0.01 0.029 25,557 (61.2%) 25,681 (61.5%) 0.38 0.006
Diuretics 44,619 (65.0%) 89,957 (60.7%) <0.01 0.088 25,882 (62.0%) 26,142 (62.6%) 0.06 0.013
ACE (angiotensin converting enzyme) inhibitors 26,047 (37.9%) 49,959 (33.7%) <0.01 0.088 14,532 (34.8%) 14,749 (35.3%) 0.12 0.011
Angiotensin inhibitors 16,661 (24.3%) 43,714 (29.5%) <0.01 0.119 10,337 (24.8%) 10,518 (25.2%) 0.15 0.01
Direct renin inhibitors 151 (0.2%) 224 (0.2%) <0.01 0.016 80 (0.2%) 89 (0.2%) 0.49 0.005
Rivaroxaban 4,338 (6.3%) 12,362 (8.3%) <0.01 0.078 3,361 (8.0%) 3,633 (8.7%) <0.01 0.024
Heparin 31,876 (46.4%) 76,659 (51.7%) <0.01 0.107 20,506 (49.1%) 20,866 (50.0%) 0.01 0.017
Aspirin 35,581 (51.8%) 79,565 (53.7%) <0.01 0.038 21,645 (51.8%) 22,047 (52.8%) <0.01 0.019
Clopidogrel 9,564 (13.9%) 23,569 (15.9%) <0.01 0.056 6,039 (14.5%) 6,256 (15.0%) 0.03 0.015
Insulin 23,559 (34.3%) 48,401 (32.7%) <0.01 0.035 14,274 (34.2%) 14,393 (34.5%) 0.39 0.006
Oral hypoglycemic agents 14,452 (21.0%) 32,397 (21.9%) <0.01 0.02 8,424 (20.2%) 8,517 (20.4%) 0.42 0.006
SGLT2i (Sodium glucose cotransporter-2 inhibitor) 1,602 (2.3%) 8,229 (5.6%) <0.01 0.166 1,325 (3.2%) 1,386 (3.3%) 0.23 0.008
Laboratory parameters
Left Ventricular Ejection Fraction (%) 54.0 ± 14.8 55.5 ± 13.6 <0.01 0.109 54.3 ± 14.8 54.4 ± 14.5 0.72 0.007
Cholesterol (mg/dL) 152.9 ± 45.4 152.2 ± 45.0 0.01 0.015 152.4 ± 45.8 151.5 ± 45.2 0.03 0.02
Low density lipoprotein (mg/dL) 82.0 ± 35.0 81.3 ± 35.1 <0.01 0.02 81.6 ± 35.4 80.8 ± 35.0 0.01 0.024
High density lipoprotein (mg/dL) 45.1 ± 17.9 45.5 ± 19.7 <0.01 0.02 44.9 ± 18.4 45.3 ± 19.2 0.02 0.023
Triglycerides (mg/dL) 127.4 ± 89.4 121.9 ± 91.7 <0.01 0.061 126.6 ± 88.4 122.8 ± 85.8 <0.01 0.044
Troponin I (ng/mL) 0.7 ± 6.1 0.6 ± 5.7 0.18 0.013 0.7 ± 6.6 0.6 ± 5.7 0.13 0.022
B-type natriuretic peptide (pg/mL) 961.9 ± 3246.2 921.3 ± 3183.2 0.15 0.013 1102.8 ± 3745.0 1077.6 ± 3679.7 0.61 0.007
Hemoglobin A1c (%) 6.3 ± 1.5 6.3 ± 1.5 0.31 0.007 6.3 ± 1.5 6.3 ± 1.5 0.07 0.018
Respiratory rate (breaths/min) 17.3 ± 3.1 17.2 ± 3.0 0.43 0.005 17.3 ± 3.2 17.2 ± 2.9 0.13 0.015
Heart rate (beats/min) 76.7 ± 17.2 77.8 ± 18.6 <0.01 0.062 77.2 ± 17.7 77.4 ± 18.1 0.25 0.01
Body weight (lb.) 190.4 ± 51.3 186.8 ± 49.7 <0.01 0.071 189.3 ± 51.7 188.3 ± 49.2 0.03 0.019
Body mass index (kg/m 2) 29.4 ± 7.1 28.8 ± 6.9 <0.01 0.087 29.3 ± 7.1 29.0 ± 6.9 <0.01 0.033
Blood Pressure, Systolic (mmHg) 123.2 ± 22.9 124.0 ± 22.7 <0.01 0.037 122.7 ± 23.7 124.0 ± 22.3 <0.01 0.055
Blood Pressure, Diastolic (mmHg) 67.9 ± 13.8 69.0 ± 13.5 <0.01 0.081 67.5 ± 14.2 68.6 ± 13.4 <0.01 0.082
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Aug 8, 2026 | Posted by in CARDIOLOGY | Comments Off on Effectiveness and Safety of Apixaban Versus Warfarin in Atrial Fibrillation Patients With Malignancy: A Propensity-Matched Analysis

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