Literature DB >> 34963185

Effectiveness and Safety of Apixaban versus Warfarin in Venous Thromboembolism Patients with Chronic Kidney Disease.

Alexander T Cohen1, Janvi Sah2, Amol D Dhamane3, Theodore Lee4, Lisa Rosenblatt3, Patrick Hlavacek4, Birol Emir4, Rachel Delinger2, Huseyin Yuce5, Xuemei Luo6.   

Abstract

There has been limited evidence reported about the outcomes of oral anticoagulants among patients with venous thromboembolism (VTE) and chronic kidney disease (CKD), especially those with stage V/end-stage renal disease (ESRD). This retrospective cohort analysis of five U.S. claims databases evaluated the risk of recurrent VTE, major bleeding (MB), and clinically relevant nonmajor bleeding (CRNMB) for apixaban versus warfarin among VTE patients diagnosed with CKD, including ESRD. Inverse probability treatment weighting (IPTW) was used to balance patient characteristics between treatment cohorts. Hazard ratios (HRs) were calculated for recurrent VTE, MB, and CRNMB among patients with CKD who experienced an index VTE. An interaction analysis was conducted to evaluate treatment effects across different stages of CKD. A total of 29,790 VTE patients with CKD were selected for analyses, of whom 10,669 (35.8%) initiated apixaban and 19,121 (64.2%) initiated warfarin. Among IPTW-balanced patient cohorts, the apixaban group had significantly lower risk of recurrent VTE (HR: 0.78; 95% confidence interval [CI]: 0.66-0.92), MB (HR: 0.76; 95% CI: 0.65-0.88), and CRNMB (HR: 0.86; 95% CI: 0.80-0.93) than the warfarin group. When stratified by CKD stage (stage I/II: 8.2%; stage III: 49.4%; stage IV: 12.8%; stage V/ESRD: 12.0%; stage unspecified: 17.6%), no significant interaction was observed for effects of apixaban versus warfarin on recurrent VTE or MB. In summary, apixaban was associated with a significantly lower risk of recurrent VTE and MB than warfarin among VTE patients with CKD. CKD stages did not have significant impact on treatment effects for recurrent VTE and MB. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

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Year:  2021        PMID: 34963185      PMCID: PMC9251708          DOI: 10.1055/s-0041-1740254

Source DB:  PubMed          Journal:  Thromb Haemost        ISSN: 0340-6245            Impact factor:   6.681


Introduction

Epidemiological studies conducted over several decades have found that venous thromboembolism (VTE) is a highly prevalent condition with >100,000 yearly deaths in the United States. 1 Over the last decade, accumulating evidence has suggested that patients with chronic kidney disease (CKD) are at an increased risk of VTE. 2 3 4 5 Decreased renal function also increases the risk of bleeding, 6 7 which is associated with platelet dysfunction—particularly in advanced stages of disease. 8 9 Hence, treatments with anticoagulants in VTE patients with CKD need to strike an optimal balance between preventing thrombosis and limiting hemorrhage. The American College of Chest Physicians (CHEST) and American Society of Hematology (ASH) both recommend direct oral anticoagulants (DOACs) over vitamin K antagonists (VKAs) for most VTE patients due to less bleeding in randomized clinical trials (RCTs) and greater convenience for patients. 10 11 However, CHEST guidelines have recommended VKAs over DOACs if creatinine clearance (CrCl) is <30 mL/min, while the ASH guidelines have noted that the recommendation of DOACs over VKAs is not applicable to patients with CrCl <30 mL/min. 10 11 There is limited evidence about the effects of DOACs among VTE patients with CKD. The evidence is especially lacking for those with severe CKD, such as end-stage renal disease (ESRD), as pivotal trials of DOACs excluded VTE patients with severe renal impairments (CrCl <25 mL/min for apixaban and <30 mL/min for all other DOACs). 11 12 13 14 15 Real-world data (RWD) (e.g., insurance claims databases) provide an additional data source to evaluate the effectiveness and safety of DOACs among VTE patients with CKD, including those with ESRD. Although several RWD studies have been conducted to evaluate the use of DOACs among VTE patients with CKD, they were limited to a single study center or a single data provider (such as the Medicare supplemental database). 16 17 18 The aim of this study was to compare the effectiveness and safety outcomes of apixaban versus warfarin among VTE patients with CKD, including those with ESRD, using five U.S. insurance claims databases.

Patients and Methods

Data Source and Patient Selection

This study utilized data from the Centers for Medicare and Medicaid Services (CMS) fee-for-service Medicare database and four U.S. commercial claims databases: IBM MarketScan Commercial Claims and Encounter and Medicare Supplemental and Coordination of Benefits Database (MarketScan), IQVIA PharMetrics Plus (PharMetrics), Optum Clinformatics Data Mart (Optum), and the Humana Research Database (Humana). Patients diagnosed with CKD who had ≥1 medical claim for VTE in any position (index VTE event) in the inpatient or outpatient setting were identified from September 1, 2014 until the end of the study period (MarketScan: September 2018; Optum and Humana: December 2018; PharMetrics: March 2019; CMS Medicare: December 2016). Patients aged ≥18 years on the index date for commercial databases or ≥65 years on the index date for the Medicare database were selected if they had ≥1 pharmacy claim for apixaban or warfarin during the 30-day period following the index VTE event. The date of the first warfarin or apixaban prescription was designated as the index date. International Classification of Diseases (ICD) 9th Revision, Clinical Modification (ICD-9-CM) and ICD-10-CM codes were used to identify VTE (ICD-9: 415.11, 415.13, 415.19, 451.11, 451.19, 451.2, 451.81, 451.83, 451.84, 451.9, 453.1, 453.2, 453.4, 453.82, 453.83, 453.84, 453.85, 453.86, 453.87, 453.89, 453.9; ICD-10: I2692, I2699, I801, I802, I803, I809, I821, I82210, I82220, I82290, I8240, I8241, I8242, I8243, I8244, I8249, I824Y, I824Z, I8260, I8262, I82A1, I82B1, I82C1, I82890, I8290) and CKD (ICD-9: 585; ICD-10: N18). The ICD codes for VTE and CKD have been validated in previously published literature. 19 20 21 22 23 Additional selection criteria are listed in Fig. 1 .
Fig. 1

Patient selection criteria. The figure illustrates the process and selection criteria used to identify patient records from the databases used in this study. Patient records were included if the patient had both CKD (defined by ICD-9-CM codes 585.1–585.9 or ICD-10-CM codes N18.1–N18.9) and a diagnosis of VTE, and was treated with either apixaban or warfarin within 30 days after the index VTE. Patients were excluded on the basis of the following criteria: age (Medicare only), health insurance continuous enrollment status, medical history, and medication use. CKD, chronic kidney disease; CM, clinical modification; ICD, International Classification of Diseases; OAC, oral anticoagulant; PAC, parenteral anticoagulant; VTE, venous thromboembolism. a MarketScan: September 2018; Optum and Humana: December 2018; PharMetrics: March 2019; CMS Medicare: December 2016.

Patient selection criteria. The figure illustrates the process and selection criteria used to identify patient records from the databases used in this study. Patient records were included if the patient had both CKD (defined by ICD-9-CM codes 585.1–585.9 or ICD-10-CM codes N18.1–N18.9) and a diagnosis of VTE, and was treated with either apixaban or warfarin within 30 days after the index VTE. Patients were excluded on the basis of the following criteria: age (Medicare only), health insurance continuous enrollment status, medical history, and medication use. CKD, chronic kidney disease; CM, clinical modification; ICD, International Classification of Diseases; OAC, oral anticoagulant; PAC, parenteral anticoagulant; VTE, venous thromboembolism. a MarketScan: September 2018; Optum and Humana: December 2018; PharMetrics: March 2019; CMS Medicare: December 2016. The baseline period was defined as 6 months prior to and including the index date. Patients' follow-up information was collected from the day after the index date through the earliest of the end of the subsequent 6-month period, index therapy discontinuation, switch to another oral anticoagulant or parenteral anticoagulant, health plan disenrollment, death, or the end of the study period. Our study employed an on-treatment approach; thus, we did not include events that occurred after a patient switched or discontinued the index treatment. Patients with each stage of CKD were identified and selected for analysis in this study by using ICD-9-CM or ICD-10-CM codes. 24 Patients with CKD were stratified as stages I/II, III, IV, stage V/ESRD, or stage unspecified.

Outcome Measures

Our analysis evaluated recurrent VTE, major bleeding (MB), and clinically relevant nonmajor bleeding (CRNMB). 25 26 27 28 29 VTE and MB were defined by primary/first-listed diagnosis in the inpatient setting. CRNMB was identified by either an inpatient admission with a secondary diagnosis code for noncritical sites of bleeding (excluded if MB occurred before the CRNMB or during the same hospitalization) or by a diagnosis code for gastrointestinal bleeding or other selected noncritical site of bleeding in the outpatient setting. This approach aligns with the current recommendation of the International Society on Thrombosis and Hemostasis. 30

Statistical Methods

VTE-related variables were measured on the index VTE event date. 31 To balance patient characteristics between the treatment cohorts of VTE patients with CKD, we used stabilized inverse probability treatment weighting (IPTW). 32 Covariates included in the model were demographics, clinical characteristics, and VTE-related variables. The IPTW weights were stabilized by multiplying the original weights with a constant that was equal to the expected value of being in the treatment or comparison cohorts. 33 34 35 After IPTW, the baseline characteristics were well balanced across the cohorts and databases. The risk of recurrent VTE, MB, and CRNMB was evaluated with Cox proportional hazard models.

Analysis of Patients Stratified by Stage of CKD

An interaction analysis was conducted to evaluate the treatment effect across different stages of CKD: stages I/II, III, IV, V/ESRD. Patients with stage-unspecified CKD were not included in the interaction analysis due to the lack of clinical information regarding the stage/severity of their disease. We determined the statistical significance ( p  < 0.10) of the interaction between CKD stages and treatment effects of apixaban versus warfarin and evaluated the impact of any interaction on effectiveness and safety.

Results

A total of 29,790 VTE patients with CKD were identified after application of the selection criteria, of whom 10,669 (35.8%) initiated apixaban and 19,121 (64.2%) initiated warfarin ( Fig. 1 ). The pre- and post-IPTW baseline characteristics among VTE patients with CKD who initiated apixaban or warfarin are shown in Table 1 . Before IPTW, the average Charlson comorbidity index (CCI) score was 5.2 to 5.3, the average age was approximately 75 years, and 43.2 to 45.0% of patients were male. During the baseline period, patients initiating apixaban had a lower proportion with stage V/ESRD (8.5 vs. 13.9%) compared with warfarin patients. After applying IPTW, baseline characteristics were well balanced among VTE patients with CKD across the apixaban and warfarin cohorts. The primary effectiveness and safety outcomes of the VTE patients with CKD are shown in Fig. 2 . VTE patients with CKD who initiated apixaban had a significantly lower risk of recurrent VTE (hazard ratio [HR]: 0.78; 95% confidence interval [CI]: 0.66–0.92), MB (HR: 0.76; 95% CI: 0.65–0.88), and CRNMB (HR: 0.86; 95% CI: 0.80–0.93) compared with warfarin patients.
Table 1

Descriptive pre- and post-IPTW baseline characteristics among VTE patients with CKD that initiated apixaban versus warfarin

Pre-IPTW Post-IPTW a
Warfarin cohortApixaban cohort STD b Warfarin cohortApixaban cohort STD b
Sample size19,12110,66919,12110,669
Age, mean (SD)75.1 (12.1)75.2 (12.2)0.7975.1 (12.1)75.3 (12.2)1.54
 18–541,092 (5.7%)608 (5.7%)0.051,085 (5.7%)603 (5.7%)0.11
 55–641,536 (8.0%)1,013 (9.5%)5.171,626 (8.5%)907 (8.5%)0.01
 65–746,057 (31.7%)3,201 (30.0%)3.635,942 (31.1%)3,311 (31.0%)0.08
 75–793,356 (17.6%)1,879 (17.6%)0.163,369 (17.6%)1,889 (17.7%)0.23
 ≥807,080 (37.0%)3,968 (37.2%)0.347,099 (37.1%)3,959 (37.1%)0.04
Gender, n (%)
 Male8,267 (43.2%)4,804 (45.0%)3.618,393 (43.9%)4,686 (43.9%)0.06
 Female10,854 (56.8%)5,865 (55.0%)3.6110,728 (56.1%)5,983 (56.1%)0.06
Geographic region, n (%)
 Northeast2,897 (15.2%)1,337 (12.5%)7.592,714 (14.2%)1,496 (14.0%)0.48
 Midwest5,596 (29.3%)2,168 (20.3%)20.834,986 (26.1%)2,779 (26.0%)0.07
 South7,227 (37.8%)5,636 (52.8%)30.548,245 (43.1%)4,595 (43.1%)0.11
 West3,371 (17.6%)1,516 (14.2%)9.363,149 (16.5%)1,783 (16.7%)0.66
 Other30 (0.2%)12 (0.1%)1.2127 (0.1%)16 (0.2%)0.21
Type of index encounter, n (%)
 Inpatient13,805 (72.2%)7,044 (66.0%)13.3913,367 (69.9%)7,433 (69.7%)0.52
 Outpatient5,316 (27.8%)3,625 (34.0%)13.395,754 (30.1%)3,236 (30.3%)0.52
VTE diagnosis, n (%)
 DVT only11,405 (59.6%)6,144 (57.6%)4.1811,264 (58.9%)6,292 (59.0%)0.13
 PE with or without DVT7,716 (40.4%)4,525 (42.4%)4.187,857 (41.1%)4,377 (41.0%)0.13
VTE etiology
 Provoked13,955 (73.0%)7,038 (66.0%)15.2813,467 (70.4%)7,501 (70.3%)0.27
 Unprovoked5,166 (27.0%)3,631 (34.0%)15.285,654 (29.6%)3,168 (29.7%)0.27
Deyo–Charlson comorbidity index, mean (SD)5.3 (2.3)5.2 (2.3)1.705.3 (2.3)5.3 (2.3)0.11
Baseline comorbidity, n (%)
  AIDS114 (0.6%)62 (0.6%)0.20120 (0.6%)57 (0.5%)1.22
  Alcohol abuse505 (2.6%)269 (2.5%)0.76499 (2.6%)278 (2.6%)0.01
  Anemia10,497 (54.9%)5,250 (49.2%)11.4110,106 (52.9%)5,630 (52.8%)0.17
  Central venous catheter3,214 (16.8%)1,353 (12.7%)11.662,931 (15.3%)1,627 (15.2%)0.22
  Cerebrovascular disease3,965 (20.7%)2,111 (19.8%)2.363,927 (20.5%)2,142 (20.1%)1.15
  Coagulation defects2,594 (13.6%)1,179 (11.1%)7.662,431 (12.7%)1,370 (12.8%)0.38
  Ischemic heart/coronary artery disease8,457 (44.2%)4,781 (44.8%)1.178,493 (44.4%)4,727 (44.3%)0.23
  Dementia2,024 (10.6%)1,402 (13.1%)7.912,021 (10.6%)1,434 (13.4%)8.83
  Dyspepsia or stomach discomfort5,323 (27.8%)2,860 (26.8%)2.325,261 (27.5%)2,947 (27.6%)0.24
  Hemiplegia or paraplegia543 (2.8%)303 (2.8%)0.00534 (2.8%)313 (2.9%)0.84
  Hyperlipidemia13,055 (68.3%)7,457 (69.9%)3.5013,169 (68.9%)7,338 (68.8%)0.20
  Obesity6,371 (33.3%)3,818 (35.8%)5.196,534 (34.2%)3,641 (34.1%)0.10
  Pneumonia4,077 (21.3%)2,219 (20.8%)1.284,033 (21.1%)2,238 (21.0%)0.29
  Rheumatologic disease1,244 (6.5%)683 (6.4%)0.421,232 (6.4%)677 (6.3%)0.40
  Sleep apnea3,303 (17.3%)1,854 (17.4%)0.273,306 (17.3%)1,843 (17.3%)0.04
  Spinal cord injury49 (0.3%)31 (0.3%)0.6651 (0.3%)28 (0.3%)0.09
  Thrombophilia647 (3.4%)354 (3.3%)0.37641 (3.4%)354 (3.3%)0.19
  Varicose veins749 (3.9%)486 (4.6%)3.17788 (4.1%)437 (4.1%)0.12
  Congestive heart failure7,242 (37.9%)3,754 (35.2%)5.597,156 (37.4%)3,851 (36.1%)2.75
  Diabetes10,544 (55.1%)5,564 (52.2%)6.0010,560 (55.2%)5,563 (52.1%)6.20
  Hypertension18,098 (94.6%)10,051 (94.2%)1.9318,068 (94.5%)10,077 (94.5%)0.16
  Stage I & II CKD1,401 (7.3%)1,031 (9.7%)8.391,569 (8.2%)879 (8.2%)0.09
  Stage III CKD9,059 (47.4%)5,659 (53.0%)11.359,445 (49.4%)5,267 (49.4%)0.05
  Stage IV CKD2,604 (13.6%)1,208 (11.3%)6.952,445 (12.8%)1,363 (12.8%)0.02
  Stage V/ESRD CKD2,666 (13.9%)904 (8.5%)17.402,291 (12.0%)1,277 (12.0%)0.04
  CKD unspecified stage3,391 (17.7%)1,867 (17.5%)0.623,371 (17.6%)1,883 (17.6%)0.04
  Chronic liver disease1,574 (8.2%)920 (8.6%)1.411,531 (8.0%)958 (9.0%)3.50
  COPD5,495 (28.7%)3,023 (28.3%)0.895,496 (28.7%)3,056 (28.6%)0.21
  Peptic ulcer disease645 (3.4%)287 (2.7%)3.99615 (3.2%)314 (2.9%)1.57
  Inflammatory bowel disease387 (2.0%)188 (1.8%)1.92369 (1.9%)204 (1.9%)0.13
  Peripheral vascular disease6,192 (32.4%)3,366 (31.5%)1.796,183 (32.3%)3,380 (31.7%)1.40
  Baseline bleed5,594 (29.3%)2,583 (24.2%)11.425,247 (27.4%)2,925 (27.4%)0.06
Recent history of falls, n (%) 1,855 (9.7%)1,076 (10.1%)1.291,875 (9.8%)1,036 (9.7%)0.32
Fracture/trauma involving lower extremities, n (%) 3,057 (16.0%)1,773 (16.6%)1.713,105 (16.2%)1,732 (16.2%)0.01
Selected surgeries, n (%) 6,684 (35.0%)3,343 (31.3%)7.706,441 (33.7%)3,588 (33.6%)0.11
Baseline medication use, n (%)
 Antiarrhythmic2,448 (12.8%)1,355 (12.7%)0.312,435 (12.7%)1,351 (12.7%)0.21
 Statins10,770 (56.3%)6,101 (57.2%)1.7310,829 (56.6%)6,042 (56.6%)0.00
 Antiplatelets2,742 (14.3%)1,578 (14.8%)1.282,765 (14.5%)1,529 (14.3%)0.37
 Aromatase Inhibitors38 (0.2%)24 (0.2%)0.5739 (0.2%)22 (0.2%)0.08
 Beta blockers10,968 (57.4%)5,916 (55.5%)3.8510,830 (56.6%)6,043 (56.6%)0.00
 Gastroprotective agents7,340 (38.4%)3,996 (37.5%)1.927,282 (38.1%)4,062 (38.1%)0.02
 SERMS102 (0.5%)62 (0.6%)0.64106 (0.6%)60 (0.6%)0.13
 NSAIDs3,680 (19.2%)2,458 (23.0%)9.303,940 (20.6%)2,198 (20.6%)0.01
 Hormone therapy (estrogen)362 (1.9%)193 (1.8%)0.62353 (1.8%)195 (1.8%)0.15
Apixaban index dose, n (%)
 On standard dose (apixaban 5 mg)9,109 (85.4%)8,997 (84.3%)
 Lower dose (2.5 mg apixaban)1,560 (14.6%)1,672 (15.7%)

Abbreviations: AIDS, acquired immunodeficiency syndrome; CKD, chronic kidney disease; COPD, chronic obstructive pulmonary disease; CRNM, clinically relevant nonmajor; DVT, deep-vein thrombosis; ESRD, end-stage renal disease; IPTW, inverse probability treatment weighting; NSAID, nonsteroidal anti-inflammatory drug; PE, pulmonary embolism; SERM, selective estrogen receptor modulator; STD, standardized difference; VTE, venous thromboembolism.

After applying weights, the values for categorical variables were not whole numbers; therefore, due to rounding the sum of patients may not equal 100%.

Standardized difference = 100*|actual std. diff.|. Standardized difference greater than 10 was considered significant.

Fig. 2

Risk of recurrent venous thromboembolism (VTE), major bleeding, and clinically relevant nonmajor bleeding among patients with chronic kidney disease prescribed apixaban or warfarin to treat VTE. The figure shows a forest plot of the risks of recurrent VTE, major bleeding, and CRNMB. The patient population consisted of patients with CKD being treated for VTE with apixaban or warfarin during the study period. The number of events and the incidence per 100 person-years are listed for each outcome and treatment. Risk is indicated by an HR and 95% CI. The degree of risk is indicated along the x -axis. Black squares indicate the hazard ratio; solid black lines indicate the 95% CI. CI, confidence interval; CKD, chronic kidney disease; CRNMB, clinically relevant nonmajor bleeding; HR, hazard ratio; VTE, venous thromboembolism.

Risk of recurrent venous thromboembolism (VTE), major bleeding, and clinically relevant nonmajor bleeding among patients with chronic kidney disease prescribed apixaban or warfarin to treat VTE. The figure shows a forest plot of the risks of recurrent VTE, major bleeding, and CRNMB. The patient population consisted of patients with CKD being treated for VTE with apixaban or warfarin during the study period. The number of events and the incidence per 100 person-years are listed for each outcome and treatment. Risk is indicated by an HR and 95% CI. The degree of risk is indicated along the x -axis. Black squares indicate the hazard ratio; solid black lines indicate the 95% CI. CI, confidence interval; CKD, chronic kidney disease; CRNMB, clinically relevant nonmajor bleeding; HR, hazard ratio; VTE, venous thromboembolism. Abbreviations: AIDS, acquired immunodeficiency syndrome; CKD, chronic kidney disease; COPD, chronic obstructive pulmonary disease; CRNM, clinically relevant nonmajor; DVT, deep-vein thrombosis; ESRD, end-stage renal disease; IPTW, inverse probability treatment weighting; NSAID, nonsteroidal anti-inflammatory drug; PE, pulmonary embolism; SERM, selective estrogen receptor modulator; STD, standardized difference; VTE, venous thromboembolism. After applying weights, the values for categorical variables were not whole numbers; therefore, due to rounding the sum of patients may not equal 100%. Standardized difference = 100*|actual std. diff.|. Standardized difference greater than 10 was considered significant. To gain a better understanding of the impact of CKD stage on clinical outcomes, patients were stratified by stage. Table 2 shows the demographic and clinical characteristics of patients stratified by different stages of CKD. Among the 29,790 VTE patients with CKD in both the apixaban and warfarin cohorts, the largest proportion of patients had CKD stage III (49.4%) followed by stage unspecified (17.6%), stage IV (12.8%), stage V/ESRD (12.0%), and stage I/II (8.2%). Patients with CKD stage IV were oldest (77.1–78.5 years), followed by stage III (76.4–76.5 years), stage unspecified (75.1–75.5 years), stage I/II (72.4–73.3 years), and stage V/ESRD (68.9 years); in contrast, the mean CCI score was the highest for stages V/ESRD (6.1–6.2) and generally decreased with the following stages (stage IV: 5.6–5.7; stage III: 5.1; stage unspecified: 5.0; stage I/II: 4.9). For type of index VTE event, the proportion of patients that had an index deep-vein thrombosis (DVT) event or provoked event was highest for stage V/ESRD patients (DVT: 76.0–77.2%; provoked: 76.0–78.3%) followed by stage IV (DVT: 64.5–67.4%; provoked: 70.4–74.0%), stage unspecified (DVT: 54.7–55.8%; provoked: 72.2–72.6%), stage III (DVT: 55.2%; provoked: 68.1–68.7%), and stage I/II (DVT: 51.5–54.2%; provoked: 63.5–66.8%). Other demographic characteristics with notable differences between patients with stage V/ESRD CKD and those with stage I/II CKD were a substantially greater proportion of selected surgeries (58.9–62.5 vs. 28.6–31.1%, respectively) and a twofold increase in the rates of anemia (84.2–87.1 vs. 38.2–43.9%, respectively).
Table 2

Descriptive baseline characteristics among VTE with CKD patients that initiated apixaban versus warfarin stratified by CKD staging

Stage I & II CKD a Stage III CKD a Stage IV CKD a Stage V/ESRD CKD a Stage unspecified CKD a
Warfarin cohort (reference)Apixaban cohort STD b Warfarin cohort (reference)Apixaban cohort STD b Warfarin cohort (reference)Apixaban cohort STD b Warfarin cohort (reference)Apixaban cohort STD b Warfarin cohort (reference)Apixaban cohort STD b
Sample size1,56987909,4455,26702,4451,36302,2911,27703,3711,8830
Age73.3 (13.2)72.4 (12.2)7.4676.4 (11.4)76.5 (10.6)0.4377.1 (11.3)78.5 (12.4)11.3868.9 (12.2)68.9 (16.2)0.2375.1 (12.4)75.5 (12.4)2.99
 18–54115 (7.4%)84 (9.6%)8.10344 (3.6%)173 (3.3%)1.94102 (4.2%)42 (3.0%)6.04302 (13.2%)189 (14.8%)4.32221 (6.6%)115 (6.1%)1.88
 55–64173 (11.0%)103 (11.7%)2.25694 (7.4%)405 (7.7%)1.31168 (6.9%)89 (6.5%)1.23316 (13.8%)162 (12.7%)2.98275 (8.2%)147 (7.8%)1.32
 65–74531 (33.8%)286 (32.6%)2.722,831 (30.0%)1,610 (30.6%)1.27641 (26.2%)350 (25.7%)1.23932 (40.7%)495 (38.7%)3.711,006 (29.9%)571 (30.3%)1.00
 75–79269 (17.1%)150 (17.1%)0.221,786 (18.9%)1,000 (19.0%)0.19426 (17.4%)246 (18.1%)1.68320 (14.0%)183 (14.3%)0.99568 (16.9%)310 (16.5%)1.07
 ≥ 80481 (30.6%)255 (29.1%)3.463,789 (40.1%)2,079 (39.5%)1.321,108 (45.3%)636 (46.6%)2.65421 (18.4%)248 (19.4%)2.461,300 (38.6%)740 (39.3%)1.56
Gender
 Male799 (50.9%)419 (47.6%)6.554,061 (43.0%)2,292 (43.5%)1.04954 (39.0%)495 (36.3%)5.461,074 (46.9%)631 (49.4%)4.851,505 (44.7%)849 (45.1%)0.88
 Female771 (49.1%)460 (52.4%)6.555,383 (57.0%)2,975 (56.5%)1.041,491 (61.0%)868 (63.7%)5.461,218 (53.1%)646 (50.6%)4.851,865 (55.3%)1,034 (54.9%)0.88
Geographic region
 Northeast216 (13.8%)118 (13.5%)0.851,262 (13.4%)702 (13.3%)0.07370 (15.2%)186 (13.6%)4.33350 (15.3%)175 (13.7%)4.25516 (15.3%)315 (16.7%)3.95
 Midwest336 (21.4%)202 (23.0%)3.762,680 (28.4%)1,454 (27.6%)1.70610 (24.9%)369 (27.1%)4.74474 (20.7%)257 (20.2%)1.29885 (26.3%)496 (26.3%)0.17
 South742 (47.2%)406 (46.2%)2.133,890 (41.2%)2,189 (41.6%)0.761,087 (44.5%)609 (44.7%)0.441,112 (48.5%)617 (48.3%)0.421,415 (42.0%)774 (41.1%)1.77
 West274 (17.4%)153 (17.4%)0.221,600 (16.9%)914 (17.4%)1.12374 (15.3%)196 (14.4%)2.45353 (15.4%)226 (17.7%)5.77549 (16.3%)294 (15.6%)1.84
 Other<11<114.6113 (0.1%)<110.27<11<112.00<11<111.63<11<110.45
Type of index encounter
 Inpatient1,026 (65.4%)605 (68.8%)7.436,407 (67.8%)3,626 (68.8%)2.181,775 (72.6%)943 (69.2%)7.361,784 (77.9%)896 (70.1%)16.412,375 (70.5%)1,363 (72.4%)4.25
 Outpatient544 (34.6%)274 (31.2%)7.433,037 (32.2%)1,641 (31.2%)2.18670 (27.4%)420 (30.8%)7.36507 (22.1%)382 (29.9%)16.41996 (29.5%)520 (27.6%)4.25
VTE diagnosis
 DVT only851 (54.2%)452 (51.5%)5.515,212 (55.2%)2,905 (55.2%)0.051,578 (64.5%)918 (67.4%)5.841,741 (76.0%)986 (77.2%)2.631,883 (55.8%)1,030 (54.7%)2.24
 PE with or without DVT719 (45.8%)426 (48.5%)5.514,233 (44.8%)2,362 (44.8%)0.05867 (35.5%)445 (32.6%)5.84550 (24.0%)292 (22.8%)2.631,488 (44.2%)852 (45.3%)2.24
VTE etiology
 Provoked996 (63.5%)587 (66.8%)7.116,435 (68.1%)3,617 (68.7%)1.171,808 (74.0%)960 (70.4%)7.691,793 (78.3%)970 (76.0%)5.142,434 (72.2%)1,366 (72.6%)0.77
 Unprovoked573 (36.5%)291 (33.2%)7.113,010 (31.9%)1,650 (31.3%)1.17637 (26.0%)403 (29.6%)7.69498 (21.7%)307 (24.0%)5.14936 (27.8%)516 (27.4%)0.77
 Baseline comorbidity4.9 (2.4)4.9 (2.0)0.895.1 (2.3)5.1 (2.1)0.165.6 (2.2)5.7 (2.5)6.146.2 (2.3)6.1 (3.0)4.355.0 (2.2)5.0 (2.2)0.42
Deyo–Charlson comorbidity index
AIDS18 (1.1%)<117.7247 (0.5%)21 (0.4%)1.5213 (0.5%)<110.3825 (1.1%)13 (1.0%)0.5117 (0.5%)11 (0.6%)1.40
Alcohol abuse47 (3.0%)22 (2.5%)3.01222 (2.3%)125 (2.4%)0.1547 (1.9%)32 (2.3%)2.7376 (3.3%)35 (2.8%)2.96108 (3.2%)65 (3.4%)1.30
Anemia600 (38.2%)386 (43.9%)11.794,426 (46.9%)2,440 (46.3%)1.101,589 (65.0%)894 (65.6%)1.171,995 (87.1%)1,075 (84.2%)7.661,497 (44.4%)835 (44.4%)0.09
Central venous catheter146 (9.3%)80 (9.1%)0.88963 (10.2%)541 (10.3%)0.25310 (12.7%)190 (13.9%)3.671,051 (45.9%)564 (44.2%)3.23461 (13.7%)252 (13.4%)0.80
Cerebrovascular disease307 (19.5%)171 (19.5%)0.061,780 (18.8%)987 (18.7%)0.29523 (21.4%)311 (22.8%)3.35616 (26.9%)296 (23.1%)8.13702 (20.8%)377 (20.0%)1.95
Coagulation defects170 (10.8%)84 (9.6%)4.121,099 (11.6%)612 (11.6%)0.03285 (11.7%)191 (14.0%)6.77468 (20.4%)282 (22.1%)3.76409 (12.1%)201 (10.7%)4.59
Ischemic heart/coronary artery disease589 (37.5%)350 (39.9%)4.864,057 (43.0%)2,255 (42.8%)0.301,220 (49.9%)672 (49.3%)1.171,174 (51.3%)638 (49.9%)2.501,452 (43.1%)811 (43.1%)0.04
Dementia150 (9.6%)96 (11.0%)4.671,008 (10.7%)683 (13.0%)7.18254 (10.4%)236 (17.3%)19.54181 (7.9%)135 (10.6%)8.52428 (12.7%)284 (15.1%)6.84
Dyspepsia or stomach discomfort395 (25.2%)234 (26.6%)3.272,471 (26.2%)1,336 (25.4%)1.86640 (26.2%)384 (28.1%)4.31779 (34.0%)445 (34.9%)1.76976 (29.0%)549 (29.2%)0.44
Hemiplegia or paraplegia44 (2.8%)29 (3.3%)3.07218 (2.3%)128 (2.4%)0.8660 (2.4%)24 (1.8%)4.6587 (3.8%)53 (4.2%)1.86126 (3.7%)78 (4.1%)2.09
Hyperlipidemia1,047 (66.7%)596 (67.8%)2.406,678 (70.7%)3,689 (70.0%)1.471,744 (71.3%)993 (72.8%)3.231,566 (68.3%)842 (65.9%)4.812,134 (63.3%)1,218 (64.7%)2.90
Obesity577 (36.8%)314 (35.8%)2.123,300 (34.9%)1,879 (35.7%)1.53859 (35.1%)467 (34.3%)1.78738 (32.2%)388 (30.4%)3.721,060 (31.4%)593 (31.5%)0.09
Pneumonia278 (17.7%)154 (17.5%)0.541,823 (19.3%)1,053 (20.0%)1.74527 (21.6%)290 (21.3%)0.73663 (28.9%)318 (24.9%)8.60742 (22.0%)424 (22.5%)1.16
Rheumatologic disease92 (5.9%)54 (6.2%)1.41621 (6.6%)346 (6.6%)0.02181 (7.4%)96 (7.0%)1.34100 (4.4%)54 (4.2%)0.85238 (7.1%)126 (6.7%)1.38
Sleep apnea249 (15.8%)154 (17.5%)4.511,689 (17.9%)936 (17.8%)0.29428 (17.5%)242 (17.7%)0.51365 (15.9%)209 (16.4%)1.20575 (17.0%)302 (16.0%)2.73
Spinal cord injury<11 (0.2%)<11 (0.4%)2.4321 (0.2%)11 (0.2%)0.42<11<113.5411 (0.5%)<113.5013 (0.4%)<110.04
Thrombophilia59 (3.8%)41 (4.6%)4.28328 (3.5%)170 (3.2%)1.4370 (2.9%)33 (2.4%)2.8481 (3.5%)53 (4.2%)3.04102 (3.0%)57 (3.0%)0.17
Varicose veins70 (4.5%)37 (4.2%)1.36406 (4.3%)229 (4.4%)0.27113 (4.6%)59 (4.3%)1.3160 (2.6%)30 (2.3%)1.69139 (4.1%)82 (4.3%)1.12
Congestive heart failure420 (26.8%)228 (25.9%)1.943,244 (34.4%)1,757 (33.4%)2.121,146 (46.9%)639 (46.9%)0.031,171 (51.1%)593 (46.4%)8.831,174 (34.8%)635 (33.7%)2.33
Diabetes810 (51.6%)428 (48.7%)5.795,017 (53.1%)2,637 (50.1%)6.161,493 (61.1%)815 (59.8%)2.631,579 (68.9%)823 (64.4%)8.931,661 (49.3%)860 (45.7%)7.20
Hypertension1,424 (90.7%)788 (89.7%)3.408,923 (94.5%)5,004 (95.0%)2.322,384 (97.5%)1,326 (97.3%)1.352,234 (97.5%)1,232 (96.5%)5.533,104 (92.1%)1,727 (91.8%)1.16
Chronic liver disease125 (8.0%)86 (9.7%)6.34672 (7.1%)414 (7.9%)2.88164 (6.7%)109 (8.0%)4.86311 (13.6%)183 (14.4%)2.08259 (7.7%)166 (8.8%)4.16
COPD398 (25.4%)225 (25.6%)0.602,663 (28.2%)1,416 (26.9%)2.97754 (30.8%)457 (33.5%)5.61665 (29.0%)371 (29.0%)0.031,015 (30.1%)588 (31.2%)2.36
Peptic ulcer disease40 (2.6%)17 (1.9%)4.21274 (2.9%)138 (2.6%)1.7383 (3.4%)29 (2.1%)7.81107 (4.7%)61 (4.8%)0.37111 (3.3%)70 (3.7%)2.30
Inflammatory bowel disease21 (1.4%)14 (1.6%)1.78180 (1.9%)83 (1.6%)2.5849 (2.0%)36 (2.6%)4.2455 (2.4%)24 (1.9%)3.2163 (1.9%)47 (2.5%)4.10
Peripheral vascular disease492 (31.4%)266 (30.2%)2.502,901 (30.7%)1,611 (30.6%)0.26844 (34.5%)466 (34.2%)0.74894 (39.0%)502 (39.3%)0.621,052 (31.2%)535 (28.4%)6.08
Baseline bleed372 (23.7%)231 (26.3%)6.172,343 (24.8%)1,300 (24.7%)0.27649 (26.6%)372 (27.3%)1.65921 (40.2%)519 (40.6%)0.81963 (28.6%)502 (26.7%)4.22
Recent history of falls137 (8.7%)80 (9.1%)1.41912 (9.7%)507 (9.6%)0.08270 (11.1%)143 (10.5%)1.71198 (8.6%)90 (7.0%)5.73358 (10.6%)216 (11.5%)2.68
Fracture/trauma involving lower extremities227 (14.5%)133 (15.1%)1.921,494 (15.8%)854 (16.2%)1.07434 (17.8%)245 (17.9%)0.47425 (18.5%)190 (14.9%)9.35525 (15.6%)311 (16.5%)2.54
Selected surgeries488 (31.1%)251 (28.6%)5.452,718 (28.8%)1,530 (29.1%)0.61728 (29.8%)448 (32.9%)6.541,433 (62.5%)753 (58.9%)6.901,073 (31.8%)605 (32.1%)0.66
Baseline medication use
 Antiarrhythmic177 (11.3%)106 (12.1%)2.521,156 (12.2%)648 (12.3%)0.21337 (13.8%)178 (13.1%)2.09346 (15.1%)166 (13.0%)5.62419 (12.4%)252 (13.4%)2.87
 Statins846 (53.9%)485 (55.2%)2.605,505 (58.3%)3,029 (57.5%)1.591,471 (60.2%)835 (61.2%)2.061,258 (54.9%)710 (55.6%)1.231,747 (51.8%)983 (52.2%)0.79
 Antiplatelets185 (11.8%)96 (10.9%)2.841,296 (13.7%)729 (13.8%)0.38411 (16.8%)238 (17.4%)1.66419 (18.3%)211 (16.6%)4.34454 (13.5%)254 (13.5%)0.15
 Aromatase inhibitors<11<118.6620 (0.2%)<111.61<11<110.76<11<115.95<11<117.57
 Beta blockers725 (46.2%)409 (46.5%)0.655,199 (55.0%)2,879 (54.7%)0.791,586 (64.9%)873 (64.0%)1.671,577 (68.8%)877 (68.7%)0.321,743 (51.7%)1,005 (53.4%)3.34
 Gastroprotective agents544 (34.6%)317 (36.0%)2.963,502 (37.1%)1,932 (36.7%)0.86967 (39.6%)586 (43.0%)6.82972 (42.4%)536 (41.9%)0.961,296 (38.4%)692 (36.8%)3.46
 SERMS<11<110.9757 (0.6%)32 (0.6%)0.1116 (0.7%)<111.74<11<111.49<11<111.67
 NSAIDs425 (27.1%)239 (27.2%)0.421,934 (20.5%)1,112 (21.1%)1.57401 (16.4%)207 (15.2%)3.27370 (16.2%)172 (13.5%)7.12809 (24.0%)467 (24.8%)1.82
 Hormone therapy (estrogen)32 (2.0%)20 (2.3%)1.76175 (1.9%)94 (1.8%)0.6142 (1.7%)19 (1.4%)2.4933 (1.4%)25 (1.9%)3.5470 (2.1%)37 (2.0%)0.79
Apixaban index dose
 On standard dose (apixaban 5 mg)805 (91.6%)4,644 (88.2%)992 (72.8%)906 (70.9%)1,650 (87.7%)
 Lower dose (2.5 mg apixaban)74 (8.4%)624 (11.8%)371 (27.2%)371 (29.1%)232 (12.3%)

Abbreviations: AIDS, acquired immunodeficiency syndrome; CKD, chronic kidney disease; COPD, chronic obstructive pulmonary disease; CRNM, clinically relevant nonmajor; DVT, deep-vein thrombosis; ESRD, end-stage renal disease; IPTW, inverse probability treatment weighting; NSAID, nonsteroidal anti-inflammatory drug; PE, pulmonary embolism; SERM, selective estrogen receptor modulator; STD, standardized difference; VTE, venous thromboembolism.

After applying weights, the values for categorical variables were not whole numbers; therefore, due to rounding the sum of patients may not equal 100%.

Standardized difference = 100*|actual std. diff|. Standardized difference greater than 10 was considered significant.

Abbreviations: AIDS, acquired immunodeficiency syndrome; CKD, chronic kidney disease; COPD, chronic obstructive pulmonary disease; CRNM, clinically relevant nonmajor; DVT, deep-vein thrombosis; ESRD, end-stage renal disease; IPTW, inverse probability treatment weighting; NSAID, nonsteroidal anti-inflammatory drug; PE, pulmonary embolism; SERM, selective estrogen receptor modulator; STD, standardized difference; VTE, venous thromboembolism. After applying weights, the values for categorical variables were not whole numbers; therefore, due to rounding the sum of patients may not equal 100%. Standardized difference = 100*|actual std. diff|. Standardized difference greater than 10 was considered significant. Fig. 3 shows the incidence rates and HRs of recurrent VTE, MB, and CRNMB for apixaban compared with warfarin across different stages of CKD. During the follow-up, patients with stage V/ESRD had the highest incidence rate of recurrent VTE, MB, and CRNMB ( Fig. 3 ). Across all stages of CKD, patients who received apixaban had a numerically lower incidence of recurrent VTE (stage V/ESRD [7.7 vs. 11.6], stage IV [5.8 vs. 7.8], stage III [6.2 vs. 6.9], stage I/II [5.2 vs. 7.6]) and MB (stage V/ESRD [16.9 vs. 18.0], stage IV [12.6 vs. 12.8], stage III [7.3 vs. 9.6], and stage I/II [2.9 vs. 6.6]) compared with patients who received warfarin. The apixaban group also experienced numerically lower incidences of CRNMB for patients with CKD (stage V/ESRD [38.0 vs. 52.0], stage IV [31.1 vs. 40.9], stage III [33.2 vs. 33.9], and stage I/II [28.0 vs. 33.0]).
Fig. 3

Risk of recurrent venous thromboembolism (VTE), major bleeding, and clinically relevant nonmajor bleeding among patients with chronic kidney disease prescribed apixaban or warfarin to treat VTE, stratified by CKD stages. The figure shows a forest plot of the risks of recurrent VTE, major bleeding, and CRNMB. The patient population consisted of patients with CKD being treated for VTE with apixaban or warfarin during the study period, stratified by the stage of CKD (stage I/II, stage III, stage IV, stage V/ESRD). The number of events and the incidence per 100 person-years are listed for each outcome, stage, and treatment. Risk is indicated by an HR and 95% CI. The degree of risk is indicated along the x -axis. The p -value for interaction indicates the association between CKD stages and treatment effects on a specific outcome. Black squares indicate the hazard ratio; solid black lines indicate the 95% CI. CI, confidence interval; CKD, chronic kidney disease; CRNMB, clinically relevant nonmajor bleeding; ESRD, end-stage renal disease; HR, hazard ratio; VTE, venous thromboembolism. a  < 11 used due to agreements with commercial providers to assure privacy for very small number of events; interaction is significant if p  < 0.10.

Risk of recurrent venous thromboembolism (VTE), major bleeding, and clinically relevant nonmajor bleeding among patients with chronic kidney disease prescribed apixaban or warfarin to treat VTE, stratified by CKD stages. The figure shows a forest plot of the risks of recurrent VTE, major bleeding, and CRNMB. The patient population consisted of patients with CKD being treated for VTE with apixaban or warfarin during the study period, stratified by the stage of CKD (stage I/II, stage III, stage IV, stage V/ESRD). The number of events and the incidence per 100 person-years are listed for each outcome, stage, and treatment. Risk is indicated by an HR and 95% CI. The degree of risk is indicated along the x -axis. The p -value for interaction indicates the association between CKD stages and treatment effects on a specific outcome. Black squares indicate the hazard ratio; solid black lines indicate the 95% CI. CI, confidence interval; CKD, chronic kidney disease; CRNMB, clinically relevant nonmajor bleeding; ESRD, end-stage renal disease; HR, hazard ratio; VTE, venous thromboembolism. a  < 11 used due to agreements with commercial providers to assure privacy for very small number of events; interaction is significant if p  < 0.10. When stratified by CKD stage, no significant interaction was observed between CKD stage and the treatment effects of apixaban versus warfarin on recurrent VTE (interaction p  = 0.570) or MB (interaction p  = 0.124). However, there was a significant interaction between CKD stage and treatment effects on CRNMB: while patients treated with apixaban trended toward a lower risk of CRNMB compared with patients treated with warfarin across all CKD stages, the magnitude of difference was greater for those with CKD stage IV or V/ESRD than for those with CKD stage I/II or III ( Fig. 3 ).

Discussion

In this retrospective analysis, which used data from five U.S. claims databases to compare the outcomes of apixaban versus warfarin among VTE patients with CKD, we found that risks of recurrent VTE, MB, and CRNMB were lower for apixaban than for warfarin. In analysis that stratified patients by different stages of CKD, no significant interaction was observed between CKD stage and the treatment effects of apixaban versus warfarin on recurrent VTE and MB. The lack of interaction suggests that the effects associated with use of apixaban or warfarin were consistent across different stages of CKD, including ESRD. The findings of this RWD analysis provide complementary information to that of the AMPLIFY RCT. 12 The AMPLIFY trial found that apixaban was noninferior to conventional therapy for the prevention of recurrent VTE and was associated with less bleeding. 12 Moreover, included subgroup analysis showed no significant interaction between the level of renal function and treatment effects of apixaban versus warfarin on recurrent VTE (interaction p  = 0.8757) or MB (interaction p  = 0.3606), suggesting that the efficacy and safety of apixaban were consistent across the different levels of renal function. Our study expanded upon this renal subgroup analysis with additional data on effectiveness and safety of apixaban versus warfarin among VTE patients with CKD in routine clinical practice, including those with stage V/ESRD. We found apixaban to be associated with both lower risk of recurrent VTE and MB than for warfarin and consistent findings across different stages of CKD, including stage V/ESRD. Several RWD studies have evaluated apixaban use among patients with CKD. 16 17 18 Dawwas et al reported that recurrent VTE (8.0 vs. 13.0 per 100 person-years) and MB (7.0 vs. 15.0 per 100 person-years) were significantly lower in apixaban patients compared with warfarin patients among VTE patients with CKD. 16 No significant interaction was observed between CKD status and treatment effects on recurrent VTE (interaction p  = 0.90); however, a significant interaction was observed for MB (interaction p  = 0.09); apixaban patients trended toward a lower risk of MB across both CKD and non-CKD cohorts. 16 In a similar study of patients with CrCl <25 mL/min, Hanni et al found lower risk of thrombotic or bleeding events with apixaban (HR: 0.47; 95% CI: 0.25–0.92) compared with warfarin. 17 In addition, a systematic literature review by Cheung et al found no significant difference between apixaban and warfarin in reducing recurrent VTE or bleeding events in patients with moderate CKD as well as no difference on VTE outcomes among patients with severe CKD who were on dialysis. 18 Our study extends these findings and includes a much larger sample size and more comprehensive analyses of the effectiveness and safety of apixaban versus warfarin among VTE patients with CKD. An additional strength of our study is that we evaluated not only the population of patients with CKD as a whole but also stratified them by the severity of CKD. This level of analysis can help address some of the data gaps regarding the use of anticoagulants by patients with ESRD. This study has some limitations that are inherent to analyses using claims data. While associations can be inferred from this type of analysis, causal relationships cannot. Although IPTW has been used to balance patient characteristics between treatment cohorts, residual confounding may persist. The databases lacked information regarding inpatient bridging therapy and international normalized ratio values for the warfarin cohort, thus we could not observe certain clinical treatment decisions. We identified CKD based on diagnosis codes only, without any laboratory data for renal function, and 17 to 18% of the patients had stage-unspecified CKD. In addition, patients with less severe disease, such as stage 1/II, may be underreported. Although previous studies that validated ICD codes to identify CKD have found reasonably high positive predictive values (range: 63–97%), 23 36 results on patients stratified by CKD stages should be interpreted with caution. Both ICD-9 and ICD-10 codes were used to identify recurrent VTE and MB, yet the conversion from ICD-9 to ICD-10 may not be perfect and the presence of a code may not always be associated with adverse events (e.g., coding error or rule out criteria). The MB and recurrent VTE events were defined based on primary or first listed ICD 9/10 diagnosis codes. These events were not adjudicated based on strict clinical criteria or validated against patients' medical records. Moreover, our CRNMB definition was based on diagnosis codes without consideration of laboratory values and has not been validated through clinical confirmation. Hence, the incidence of recurrent VTE and bleeding events may be over- or underestimated. Further, we did not include death as a competing risk, as mortality data were not available for all utilized databases. Nonetheless, we expect the impact of mortality on clinical outcomes is likely to be minimal, given that our analysis of a database with available mortality data showed a low mortality rate for the study population (∼5%). Finally, our patient population did not include those who were uninsured or those with other insurance types not included in our study. Thus, our results may not be generalizable to the entire population of patients with CKD and VTE.

Conclusion

Our study showed that the use of apixaban was associated with significantly lower risks of recurrent VTE, MB, and CRNMB when compared with warfarin among VTE patients with CKD. Additionally, CKD stages, including stage V/ESRD, did not have significant impacts on treatment effects for recurrent VTE and MB. While this study provides additional evidence to support the use of apixaban by VTE patients with CKD, more studies are needed to confirm our findings.
  33 in total

1.  Development and validation of an electronic health record-based chronic kidney disease registry.

Authors:  Sankar D Navaneethan; Stacey E Jolly; Jesse D Schold; Susana Arrigain; Welf Saupe; John Sharp; Jennifer Lyons; James F Simon; Martin J Schreiber; Anil Jain; Joseph V Nally
Journal:  Clin J Am Soc Nephrol       Date:  2010-11-04       Impact factor: 8.237

2.  Chronic kidney disease and bleeding risk in patients at high cardiovascular risk: a cohort study.

Authors:  G Ocak; M B Rookmaaker; A Algra; G J de Borst; P A Doevendans; L J Kappelle; M C Verhaar; F L Visseren
Journal:  J Thromb Haemost       Date:  2017-12-20       Impact factor: 5.824

3.  Warfarin therapy in patients with venous thromboembolism: patterns of use and predictors of clinical outcomes.

Authors:  Steven B Deitelzweig; Jay Lin; Charles Kreilick; Mohamed Hussein; David Battleman
Journal:  Adv Ther       Date:  2010-07-30       Impact factor: 3.845

4.  Oral rivaroxaban for symptomatic venous thromboembolism.

Authors:  Rupert Bauersachs; Scott D Berkowitz; Benjamin Brenner; Harry R Buller; Hervé Decousus; Alex S Gallus; Anthonie W Lensing; Frank Misselwitz; Martin H Prins; Gary E Raskob; Annelise Segers; Peter Verhamme; Phil Wells; Giancarlo Agnelli; Henri Bounameaux; Alexander Cohen; Bruce L Davidson; Franco Piovella; Sebastian Schellong
Journal:  N Engl J Med       Date:  2010-12-03       Impact factor: 91.245

5.  Bleeding and recurrent VTE with apixaban vs warfarin as outpatient treatment: time-course and subgroup analyses.

Authors:  Derek Weycker; Gail DeVecchis Wygant; Jennifer D Guo; Theodore Lee; Xuemei Luo; Lisa Rosenblatt; Jack Mardekian; Mark Atwood; Ahuva Hanau; Alexander T Cohen
Journal:  Blood Adv       Date:  2020-01-28

6.  Venous thromboembolism in patients with reduced estimated GFR: a population-based perspective.

Authors:  Amisha M Parikh; Frederick A Spencer; Darleen Lessard; Catherine Emery; Ana Baylin; Crystal Linkletter; Robert J Goldberg
Journal:  Am J Kidney Dis       Date:  2011-08-27       Impact factor: 8.860

7.  Outcomes associated with apixaban vs warfarin in patients with renal dysfunction.

Authors:  Claudia Hanni; Elizabeth Petrovitch; Mona Ali; Whitney Gibson; Christopher Giuliano; Jenna Holzhausen; Charles Makowski; Amy Pallisco; Nisha Patel; Denise Sutter; Long To; Raymond Yost
Journal:  Blood Adv       Date:  2020-06-09

8.  Dabigatran versus warfarin in the treatment of acute venous thromboembolism.

Authors:  Sam Schulman; Clive Kearon; Ajay K Kakkar; Patrick Mismetti; Sebastian Schellong; Henry Eriksson; David Baanstra; Janet Schnee; Samuel Z Goldhaber
Journal:  N Engl J Med       Date:  2009-12-10       Impact factor: 91.245

9.  Use of stabilized inverse propensity scores as weights to directly estimate relative risk and its confidence intervals.

Authors:  Stanley Xu; Colleen Ross; Marsha A Raebel; Susan Shetterly; Christopher Blanchette; David Smith
Journal:  Value Health       Date:  2009-11-12       Impact factor: 5.725

Review 10.  Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies.

Authors:  Peter C Austin; Elizabeth A Stuart
Journal:  Stat Med       Date:  2015-08-03       Impact factor: 2.373

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  1 in total

1.  Evaluation of outcomes with apixaban use for venous thromboembolism in hospitalized patients with end-stage renal disease receiving renal replacement therapy.

Authors:  Jingshi Chen; Steffany Nguyen; Melanie Ruegger; Leena Samuel; Eric Salazar; Ian Dunne
Journal:  J Thromb Thrombolysis       Date:  2022-04-16       Impact factor: 5.221

  1 in total

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