Abstract
Introduction:
Patients with hematological malignancies are at an increased risk of severe bleeding. Anticoagulant (AC) therapy further increases this risk. Mortality after these bleeds is unclear and may differ by bleeding site.
Aim:
To evaluate the association between bleeding and mortality in patients with hematological malignancies prescribed AC therapy for cancer-associated venous thromboembolism (VTE).
Methods:
In a nationwide cohort of US Veterans (2012-2020), we identified patients with hematological malignancies and cancer-associated VTE prescribed AC therapy. Bleeding events were identified by a previously validated algorithm using hospitalization International Classification of Disease (ICD) codes. Within 12 months of AC therapy initiation, we evaluated the association between bleeding and mortality using multivariate Cox regression models, with AC-related bleeding analysed as a time-varying covariate.
Results:
The cohort included 1825 patients. Within 12 months of starting AC therapy, 123 (6.7%) had bleeding events and 162 (8.9%) patients died. Patients with bleeding events were more likely to have anemia, history of bleeding, aspirin use, chemotherapy use, and frailty. A multivariable Cox proportional-hazard model showed that AC-related bleeding was associated with tripled mortality rate (aHR 3.26, 95% CI 1.96-5.45). When stratified by bleeding site, intracranial bleeding was associated with the highest risk of death (aHR 13.41, 95% CI 4.13-43.48), followed by gastrointestinal bleeding (aHR 4.55, 95% CI 2.48-8.35).
Conclusion:
In this cohort of patients with hematological malignancies and newly diagnosed VTE initiated on AC therapy, bleeding was associated with an increased risk of mortality within 12 months. Association was highest with intracranial and gastrointestinal bleeding.
Keywords: anticoagulation, bleeding, hemorrhage, mortality, cancer-associated thrombosis, venous thromboembolism
Introduction
Cardiovascular disease, including thromboembolism, is the second most common cause of death in patients with cancer [1]. In some hematologic malignancies, it even surpassed cancer-related death [2]. Venous thromboembolism (VTE) is common in cancer, occurring in up to 1 in 5 patients [3]. Anticoagulant (AC) therapy is the standard of care for treatment of VTE; however, patients with cancer have an elevated risk of recurrent VTE and more than double the risk of bleeding compared to non-cancer patients while on AC therapy [4, 5].
Patients with hematological malignancies have a high incidence of thrombocytopenia, which further increases their risk of bleeding [6]. These bleeds have a high case-fatality rate [7]. However, the association between AC-related bleeding and mortality, as well as the influence of bleeding site on case-fatality rates was not well known. In addition, patients with hematological malignancies are poorly represented in prior studies [8-10].
Therefore, we conducted a retrospective cohort study using the United States (US) Veterans Affairs (VA) healthcare system database to evaluate the association between AC-related bleeding and mortality in patients with hematological malignancies and cancer-associated VTE. Specifically, we aimed to evaluate the association between the site of bleeding and mortality in this population.
Methods
Study population
We included patients in the VA healthcare system with hematological malignancies from 2012 to 2020 and newly diagnosed cancer-associated VTE plus a new prescription for AC therapy. We defined cancer-associated VTE if the VTE occurred within 3 months before up to 6 months after a new hematologic malignancy, or at any time after a hematologic malignancy that was considered incurable. Incurable malignancies consisted of hematological malignancies that are typically considered incurable: chronic lymphocytic leukemia, chronic myelogenous leukemia, low grade lymphomas (e.g., follicular lymphoma) myelodysplastic syndrome, myeloproliferative neoplasms, and plasma cell neoplasms. Hematological malignancy was identified using the International Classification of Diseases (ICD), 9th and 10th revisions codes. VTE was identified using a previously validated algorithm [11]; however, patients were only included if they had a new prescription for AC therapy for at least 30 days within 30 days of VTE diagnosis [11]. Candidate AC therapy included direct oral anticoagulant (DOAC), low-molecular-weight heparin (LMWH), or a vitamin K antagonist (VKA). To minimize misclassification, patients were excluded if they had an outpatient prescription for AC therapy within 6 months prior to VTE diagnosis for any indication.
Data collection and variables
Data were obtained from the VA Corporate Data Warehouse by using the VA Informatics and Computing Infrastructure platform. Baseline demographic data (Supplementary Table 1) were collected at the time when AC therapy was started (index date). The VA-Frailty Index (FI) was calculated as previously described [12] but with the exclusion of bleeding-related ICD codes. The VA-FI was selected over alternative measures of comorbidity given the validation with VA data and its association with mortality in this population [13].
Clinically relevant bleeding (exposure of interest)
We identified clinically relevant bleeding events within 12 months after start of AC therapy, defined as bleeding associated with admission to the hospital using a previously validated algorithm [14] (Supplementary Table 2). For intracranial hemorrhage (ICH), gastrointestinal (GI), epistaxis, and gross hematuria, ICD codes in any position for inpatient admissions were included, given their high positive predictive value (PPV) [14]. For all other bleeds, coding was limited to the primary position. We stratified site of bleeding into four categories: intracranial hemorrhage (ICH), gastrointestinal (GI), genitourinary (GU), and other bleeding sites.
Mortality (primary outcome)
The primary outcome was death within 12 months after the start of AC therapy. Date of death was identified using the VA Vital Status File, which combines the death dates from multiple sources including the VA Beneficiary Identification and Records Locator Subsystem Death File, the Social Security Administration Death Master File, the Medicare Vital Status File, and the Medical SAS Inpatient Dataset. Survival was also measured from the date of a clinically relevant bleeding to the date of death as a secondary outcome.
Statistical analysis
Continuous variables were summarized by mean (standard deviation [SD]) or median (inter-quarter range [IQR]), as appropriate, and categorical variables by count and percentage. The baseline demographics and clinical characteristics between patient groups with and without bleeding events were compared using chi-square, student’s t test, or Cochran-Mantel-Haenszel tests as appropriate. We evaluated the association between clinically relevant bleeding events and death within 12 months of AC initiation using multivariate Cox proportional hazards regression, accounting for multiple pre-defined potential confounders with known associations with mortality (age, race, body mass index [BMI], cancer type, cancer therapy, chronic liver disease, kidney function (by estimated glomerular filtration rate [eGFR], extranodal involvement, and frailty). To account for immortal time bias, AC therapy was a time-varying covariate. We repeated the analysis stratified by site of bleeding. We performed a sensitivity analysis limiting the cohort to patients with cancer-associated VTE within 90 days after diagnosis of hematological malignancy). We used SAS 9.4 (SAS Inc, Cary, NC, USA) for all analyses. All tests were two-tailed, with P < 0.05 determined as statistically significant.
The Saint Louis VHA Medical Center and Washington University School of Medicine institutional review boards approved the study prior to cohort assembly and analysis.
Results
Study cohort
A total of 1825 patients with hematological malignancies and cancer-associated VTE prescribed AC therapy were analyzed (Figure 1). Most cancer-associated VTE included pulmonary embolism (N=761, 41.7%) followed by lower extremity deep vein thrombosis (N=733, 40.2%), while 12.4% (N=227) presented with an isolated upper extremity deep vein thrombosis (Supplementary Table 3). Of the 1825 patients, 1008 (55.2%) were hospitalized at VTE diagnosis. Their mean age was 69 years (SD 10.9), 95.8% (N=1748) were male, and 22.8% (N=416) were Black (Table 1). The most common type of cancer was lymphoma (N=976, 53.5%), followed by plasma cell neoplasm (N=478, 26.2%) and myeloproliferative neoplasm (MPN, N=151, 8.3%). Half of the patients (N=913) were receiving anticancer therapy at the time of AC start. AC therapy included DOAC (N=712, 39.0%), LMWH (N=668, 36.6%), and warfarin (N=445, 24.4%). Concurrent antiplatelet therapy (aspirin and/or clopidogrel or ticagrelor) was used in 355 (19.5%) patients. The median time from cancer diagnosis to start of AC therapy was 251 days.
Figure 1.

Flow diagram of the cohort[2]
Table 1.
Baseline characteristics of the cohort, stratified by the occurrence of clinically relevant bleeding events within 12 months (Yes vs No)
| Characteristics | Overall (N=1825) | Yes (N = 123) |
No (N = 1702) |
p- value |
|---|---|---|---|---|
| Age, mean (SD) | 69 (10.9) | 69 (11.2) | 69 (10.9) | 0.61 |
| Sex, male, n (%) | 1748 (95.8) | 115 (93.5) | 1663 (96.0) | 0.19 |
| Race category | ||||
| White, n (%) | 1371 (75.1) | 89 (72.4) | 1282 (75.3) | |
| Black, n (%) | 416 (22.8) | 31 (25.2) | 385 (22.6) | 0.76 |
| Other, n (%) | 38 (2.1) | 3 (2.4) | 35 (2.1) | |
| Cancer type | ||||
| Lymphoma, n (%) | 976 (53.5) | 61 (49.6) | 915 (53.8) | 0.33 |
| Plasma cell neoplasm, n (%) | 478 (26.2) | 34 (27.6) | 444 (26.1) | |
| Leukemia, n (%) | 101 (5.5) | 7 (5.7) | 94 (5.5) | |
| MDS, n (%) | 103 (5.6) | 12 (9.8) | 91 (5.4) | |
| MPN (including CML), n (%) | 151 (8.3) | 9 (7.3) | 142 (8.3) | |
| Not otherwise specified, n (%) | 16 (0.9) | 0 (0) | 16 (0.9) | |
| Extranodal Involvement, n (%) | 197 (10.8) | 23 (18.7) | 174 (10.2) | 0.003 |
| Anticancer therapy, n (%) | 913 (50.0) | 76 (61.8) | 837 (49.2) | 0.007 |
| Anticancer therapy, Type* | ||||
| BTK Inhibitor, n (%) | 68 (3.7) | 2 (1.6) | 66 (3.9) | 0.21 |
| Hydroxyurea, n (%) | 50 (2.7) | 5 (4.1) | 45 (2.6) | 0.35 |
| VEGF Inhibitor, n (%) | 5 (0.3) | 1 (0.8) | 4 (0.2) | 0.24 |
| VEGF TKI, n (%) | 6 (0.3) | 1 (0.8) | 5 (0.3) | 0.33 |
| Anemia (HGB <10g/dL OR HCT <30%), n (%) | 969 (53.1) | 79 (64.2) | 890 (52.3) | 0.01 |
| Thrombocytopenia <50,000/uL, n (%) | 174 (9.5) | 10 (8.1) | 164 (9.6) | 0.58 |
| eGFR (mL/min/1.73 m2) category | ||||
| <30, n (%) | 683 (37.4) | 56 (45.5) | 627 (36.8) | |
| 30 to <60, n (%) | 434 (23.8) | 25 (20.3) | 409 (24.0) | |
| >=60, n (%) | 708 (38.8) | 42 (34.2) | 666 (39.1) | |
| Anticoagulant type | ||||
| DOAC, n (%) | 712 (39.0) | 46 (37.4) | 666 (39.1) | |
| LMWH, n (%) | 668 (36.6) | 53 (43.1) | 615 (36.1) | 0.24 |
| Warfarin, n (%) | 445 (24.4) | 24 (19.5) | 421 (24.7) | |
| Antiplatelet therapy | ||||
| ASA, n (%) | 295 (16.2) | 30 (24.4) | 265 (15.6) | 0.01 |
| Clopidogrel or ticagrelor, n (%) | 91 (5.0) | 9 (7.3) | 82 (4.8) | 0.22 |
| ASA+Clopidogrel/ticagrelor, n (%) | 31 (1.7) | 4 (3.3) | 27 (1.6) | 0.17 |
| Alcohol abuse, n (%) | 88 (4.8) | 8 (6.5) | 80 (4.7) | 0.37 |
| Bleeding history, n (%) | 158 (8.7) | 22 (17.9) | 136 (8.0) | 0.0002 |
| Liver disease, n (%) | 60 (3.3) | 3 (2.4) | 57 (3.4) | 0.58 |
| Stroke history, n (%) | 103 (5.6) | 8 (6.5) | 95 (5.6) | 0.67 |
| Uncontrolled hypertension, n (%) | 771 (42.2) | 61 (49.6) | 710 (41.7) | 0.09 |
| Fall history/predisposition, n (%) | 681 (37.3) | 49 (39.8) | 632 (37.1) | 0.55 |
| Frailty, Veterans Administration Frailty Index (VA-FI)[1] | ||||
| Non-frail, n (%) | 234 (12.8) | 11 (8.9) | 223 (13.1) | 0.001 |
| Pre-frail, n (%) | 451 (24.7) | 15 (3.3) | 436 (25.6) | |
| Mild frail, n (%) | 491 (26.9) | 35 (28.5) | 456 (26.8) | |
| Moderate frail, n (%) | 369 (20.2) | 34 (27.6) | 335 (19.7) | |
| Severe frail, n (%) | 280 (15.3) | 28 (22.8) | 252 (14.8) | |
Abbreviations: ASA – aspirin; BTK – bruton’s tyrosine kinase; CML – chronic myelogenous leukemia; DOAC – Direct Oral Anticoagulant; eGFR – estimated glomerular filtration rate; HGB – Hemoglobin; HCT – Hematocrit; LMWH – Low Molecular Weight Heparin; MDS- myelodysplastic syndrome; MPN – myeloproliferative neoplasm; TKI – tyrosine kinase inhibitor; VA-FI – Veterans Administration-Frailty Index; VEGF – vascular endothelial growth factor; VTE – Venous Thromboembolism
selected anticancer therapy type for high risk of bleeding
One hundred twenty-three clinically relevant bleeding events occurred within 12 months of starting AC (cumulative incidence 7.3%, 95% confidence interval [CI] 6.1%-8.6%), with the median time from start of AC therapy to first bleeding event of 56 days. The most frequent sites of bleeding were GI (n=71, 57.7%), GU (n=17, 13.8%) and ICH (n=12, 9.8%) (Table 2). Patients who developed bleeding were more likely to have baseline anemia, extranodal involvement of their malignancies, a history of bleeding, and moderate-severe frailty (Table 1). They were also more likely to be receiving aspirin and anticancer therapy.
Table 2.
Bleeding events by site of bleeding
| Site of Bleed | N | % |
|---|---|---|
| GI Bleed | 71 | 57.7% |
| GU Bleed | 17 | 13.8% |
| ICH | 12 | 9.8% |
| Epistaxis | 10 | 8.1% |
| Hematoma | 10 | 8.1% |
| Hemoptysis | 3 | 2.4% |
| Total | 123 | 100% |
The median overall survival was 48.3 months, with 162 deaths (8.9%) occurring within 12 months after AC therapy start (Figure 2). The median overall survival was 24.9 months in patients who had a clinically relevant bleed vs. 50.2 months in those without bleeding (p = <0.0001). When stratified by site of bleeding, ICH had the highest 30-day mortality at 41.7%, followed by GI bleeds (9.9%), bleeding at other sites (8.7%), and GU bleeding (5.9%). Of the 123 patients who developed bleeding in the study, 73 (59.3%) had a subsequent prescription for anticoagulant therapy within 90 days. Most subsequent prescriptions (N=53, 72.6%) occurred within the first 30 days after bleeding. Of the patients who resumed anticoagulant therapy, 8 (11.0%) died within 90 days. Of the 50 patients who did not resume anticoagulant therapy, 19 (15.4%) died and 31 (62%) survived to 90 days.
Figure 2.

Overall survival using the Kaplan Meier method stratified presence of bleeding within 12 months
In multivariable analysis, AC-related bleeding was associated with tripled risks of death at 12 months compared to those without bleeding (adjusted Hazard Ratio [aHR] 3.26, 95% CI 1.96-5.45) (Table 3A). Additionally, age (per year increase), anemia (hemoglobin <10 g/dL), chronic liver disease, and extranodal involvement were associated with an increased risk of death (Table 3A). A BMI ≥25 was associated with a decrease in the risk of death. When stratified by site of bleeding, ICH was associated with the highest mortality (aHR 13.41, 95% CI 4.13-43.48) followed by GI bleeding (HR 4.55, 95% CI 2.48-8.35) (Table 3B). Bleeding at other sites, including the GU tract, was not associated with an increased risk of death.
Table 3.
Multivariable analysis summarizing risk factors for mortality
| A) Any clinically relevant bleeding events as a covariate | |||
|---|---|---|---|
| aHR | 95% CI | p value | |
| Any Clinically Relevant Bleeding Event | 3.26 | 1.96-5.45 | <0.0001 |
| Age, per each 1-year increase | 1.03 | 1.01-1.05 | 0.001 |
| Anemia (Hemoglobin <10g/dL) | 1.57 | 1.08-2.29 | 0.02 |
| BMI | |||
| BMI <18.5 | 0.85 | 0.38-1.91 | 0.69 |
| 18.5 ≤ BMI < 25 | Reference | ||
| 25 ≤ BMI < 30 | 0.47 | 0.32-0.70 | 0.0002 |
| BMI ≥ 30 | 0.47 | 0.31-0.71 | 0.0003 |
| Chronic Liver disease | 2.17 | 1.14-4.13 | 0.02 |
| eGFR | |||
| eGFR < 30 | 1.33 | 0.89-1.97 | 0.16 |
| 30 ≤ eGFR < 60 | 1.18 | 0.76-1.81 | 0.47 |
| eGFR ≥ 60 | Reference | ||
| Frailty | |||
| Pre-frail | 0.96 | 0.51-1.79 | 0.89 |
| Mild frail | 0.83 | 0.44-1.57 | 0.57 |
| Moderate frail | 0.86 | 0.44-1.67 | 0.65 |
| Severe frail | 1.1 | 0.54-2.25 | 1.1 |
| Race | |||
| Black | 1.10 | 0.76-1.60 | 0.61 |
| Other | 0.54 | 0.13-2.23 | 0.40 |
| White | Reference | ||
| Thrombocytopenia (Platelet <50,000) | 1.18 | 0.70-1.96 | 0.54 |
| Anticancer therapy | 0.93 | 0.66-1.30 | 0.65 |
| Cancer type | |||
| Lymphoma | 1.32 | 0.87-2.01 | 0.19 |
| Myeloma | 0.82 | 0.51-1.32 | 0.41 |
| Extranodal Involvement | 5.56 | 3.89-7.94 | <0.0001 |
| Newly Diagnosed Cancer | 0.88 | 0.64-1.23 | 0.46 |
| B) Bleeding events stratified by site of bleeding | |||
| aHR | 95% CI | p value | |
| Site of Bleeding | |||
| Gastrointestinal | 4.55 | 2.48-8.35 | <0.0001 |
| Genitourinary | 1.58 | 0.22-11.51 | 0.65 |
| Intracranial Hemorrhage | 13.41 | 4.13-43.48 | <0.0001 |
| Other Site of Bleeding | 0.58 | 0.08-4.19 | 0.59 |
| Age, per each 1-year increase | 1.03 | 1.01-1.05 | 0.001 |
| Anemia (Hemoglobin <10g/dL) | 1.59 | 1.09-2.31 | 0.02 |
| BMI | |||
| BMI <18.5 | 0.84 | 0.37-1.89 | 0.67 |
| 18.5 ≤ BMI < 25 | Reference | ||
| 25 ≤ BMI < 30 | 0.46 | 0.31-0.68 | <0.0001 |
| BMI ≥ 30 | 0.45 | 0.30-0.67 | 0.0001 |
| Chronic Liver disease | 2.43 | 1.27-4.64 | 0.007 |
| eGFR | |||
| eGFR < 30 | 1.39 | 0.93-2.06 | 0.11 |
| 30 ≤ eGFR < 60 | 1.19 | 0.77-1.83 | 0.44 |
| eGFR ≥ 60 | Reference | ||
| Frailty | |||
| Pre-frail | 0.99 | 0.53-1.85 | 0.97 |
| Mild frail | 0.86 | 0.45-1.62 | 0.63 |
| Moderate frail | 0.84 | 0.43-1.64 | 0.6 |
| Severe frail | 1.04 | 0.51-2.15 | 0.91 |
| Race | |||
| Black | 1.08 | 0.74-1.57 | 0.69 |
| Other | 0.56 | 0.14-2.30 | 0.42 |
| White | Reference | ||
| Thrombocytopenia (Platelet <50,000) | 1.18 | 0.71-1.98 | 0.52 |
| Anticancer therapy | 0.89 | 0.64-1.25 | 0.51 |
| Cancer type | |||
| Lymphoma | 1.36 | 0.90-2.07 | 0.15 |
| Myeloma | 0.82 | 0.51-1.33 | 0.35 |
| Extranodal Involvement | 5.72 | 4.00-8.18 | <0.0001 |
| Newly Diagnosed Cancer | 0.87 | 0.62-1.21 | 0.41 |
Note: Bolded items are statistically significant
Abbreviations: aHR – adjusted hazard ratio; BMI – body mass index; CI – confidence interval; eGFR – estimated glomerular filtration rate; GI – gastrointestinal; ICH – intracranial bleeding
Sensitivity analyses
When limiting the cohort to patients with VTE within 90 days of hematological malignancies diagnosis (N=616), results were similar with bleeding associated with tripling the risk of death at 12 months (aHR 3.22; 95% CI: 1.44-7.19). Furthermore, ICH and GI bleeding remained to be associated with the highest risks of death (aHR 8.64, 95% CI 1.08-69.16 and aHR 5.36, 95% CI 2.13-13.47, respectively).
Discussion
Patients with hematological malignancies have unique challenges that can increase the risk of AC-related bleeding, such as thrombocytopenia and receipt of anticancer therapies associated with bleeding (e.g., Bruton’s tyrosine kinase inhibitors). In this cohort of patients with hematological malignancies and newly diagnosed cancer-associated VTE starting on AC therapy, the incidence of AC-related bleeding within 12-months of start was high: 7.3% (95% CI 6.1%-8.6%). In addition, patients with bleeding events had tripled the risk of death. Post-bleed mortality was highest after an ICH or GI bleed.
Our study and others provide important insights into the association of AC-related bleeding with death in patients with cancer-associated VTE [7, 9]. However, prior studies largely focused on patients with solid tumors. In a single center study of 1812 patients with cancer-associated VTE treated with AC therapy, major and clinically-relevant non-major bleeding was associated with mortality HRs of 1.82 and 1.38, respectively [9]. In this study, only ~10% of patients had hematological malignancies. A prior meta-analysis assessing the mortality of AC-related bleeding in patients with cancer-associated VTE also revealed that the case-fatality rate of major bleeding was high at 8.9% (95% CI: 3.5–21.1%) [7].
In addition to limited inclusion of hematological malignancies, prior studies did not stratify by site of bleeding. In our cohort, site of bleeding modified the association of AC-related bleeding with death. ICH had the highest association with death followed by GI bleeding. GU bleeding was associated with a non-significant increase in the risk of death while bleeding at other sites (e.g. epistaxis, hematoma, hemoptysis) were not associated with death. Therefore, these data represent important additions to the literature.
Our study has limitations. Given the retrospective design, residual confounding is possible. For example, it is possible that patients with clinically significant bleeding also had more aggressive disease, which contributed to both the bleed and death. However, given the magnitude of association between bleeding and death, it is not likely that confounding is entirely responsible for this association [15]. Moreover, some factors such as kidney and liver function might change overtime. The liver and kidney functions at baseline were already found to be independently associated with mortality. In addition, reliance on the use of ICD codes could contribute misclassification. Furthermore, the distribution of hematological malignancies within the cohort largely consisted of patients with lymphoma (53.5%) with less than 10% of the population having a primary diagnosis of leukemia or myelodysplastic syndrome. Given the resources available within the VA Administration, many patients with aggressive hematologic malignancies received their care from civilian providers (outside of VA system). In addition, over 98% of our cohort was male. Thus, these findings should be confirmed in co-ed populations. The management of bleeding events and recurrent thrombosis were outside of the scope of this study. While we made attempts to ensure our cohort consisted of patients with active malignancy at the time of VTE, it is possible that exclusion of patients with VTE more than 3 months prior to cancer diagnosis had active cancer at the time of VTE diagnosis. In addition, it is possible that malignancies classified as incurable were cured in a small number of included patients, and/or did not have active disease at the time of VTE. Finally, this study evaluated all-cause mortality. While the cause of death data was available in a portion of the cohort, reliance of cause of death on the death certificate has been questioned, especially in patients with cancer [16, 17]. Therefore, we were unable to attribute case fatality from bleeding events in this study.
Despite these limitations, our study included a large population with hematological malignancies. AC-related bleeding was incorporated as a time-varying covariate to avoid immortal bias and site of bleeding was analyzed [18]. We adjusted for multiple confounders, including frailty, which was not commonly accounted for in previous research [12]. We performed additional sensitivity analysis to limit patients who started AC for a new VTE within 90 days of cancer diagnosis, and results were robust.
Conclusion
In this cohort of patients with hematological malignancies and cancer-associated VTE prescribed AC therapy, a clinically relevant bleeding event was associated with a significantly increased risk of death within 12 months. Stratification of bleeding by site revealed that ICH, followed by GI bleeds, were associated with the highest risks of death. Future studies are needed to focus on bleeding risk stratification when starting AC therapy as well as strategies to reduce bleeding-related complications.
Supplementary Material
Funding
1R01HL166386 from the National Institute of Health
Footnotes
Conflicts of Interest
MW Schoen: consulting for ConcertAI
All other authors have no conflicts of interest to disclose.
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