Skip to main content

SYSTEMATIC REVIEW article

Front. Pharmacol., 06 November 2018
Sec. Drugs Outcomes Research and Policies

Warfarin and the Risk of Death, Stroke, and Major Bleeding in Patients With Atrial Fibrillation Receiving Hemodialysis: A Systematic Review and Meta-Analysis

\r\nHong Lei&#x;Hong Lei1Li-Ting Yu&#x;Li-Ting Yu2Wei-Ning WangWei-Ning Wang1Shun-Guo Zhang*Shun-Guo Zhang2*
  • 1Department of Traditional Medicine Testing, Institute for Drug and Instrument Control of Beijing Military Area Command, Beijing, China
  • 2Department of Clinical Pharmacy, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China

Background: Up to date, the efficacy and safety of warfarin treatment in atrial fibrillation patients receiving hemodialysis remain controversial. So we performed this meta-analysis to try to offer recommendations regarding warfarin management in this population.

Methods: We searched Pubmed, Embase, and Cochrane library and reviewed relevant reference lists from 1980 to March 2018. Studies were included if they described the risks of mortality, stroke, and bleeding events with or without warfarin in atrial fibrillation patients receiving hemodialysis.

Results: Overall, the use of warfarin was not associated with mortality (OR = 0.95, 95%CI = 0.89–1.02), stroke (OR = 1.06, 95% CI = 0.87–1.30) and ischemic stroke (OR = 0.85, 95% CI = 0.68–1.05), but its use could increase the risks of hemorrhagic stroke (OR = 1.34, 95% CI = 1.13–1.59) and major bleeding (OR = 1.24, 95% CI = 1.14, 1.35). In subgroup analyses, when analyses were mainly restricted to atrial fibrillation patients who were undergoing hemodialysis and taking other anticoagulation agents, warfarin therapy didn't reduce the risks for mortality (OR = 0.98, 95% CI = 0.68–1.42) and ischemic stroke (OR = 1.03, 95% CI = 0.89–1.19), but significantly increased the risks of stroke (OR:1.14, 95% CI = 1.01–1.29) and bleeding events such as hemorrhagic stroke (OR = 1.42, 95% CI = 1.14–1.77) and major bleeding (OR = 1.24, 95% CI = 1.14–1.35). While in patients who didn't take other anticoagulation agents or aspirin, warfarin use was not associated with all-cause mortality (OR = 0.90, 95% CI = 0.78–1.04), or any stroke (OR = 1.00, 95% CI = 0.71–1.40). Its use was associated with significantly decreased risk of ischemic stroke (OR = 0.71, 95% CI = 0.60–0.85), but not associated with hemorrhagic stroke (OR = 1.45, 95% CI = 0.83–2.55). Besides, another subgroup analysis showed that warfarin therapy didn't exert a protective role in patients with normal serum lipid levels (OR = 1.04, 95% CI = 0.85–1.26), but seemed to decrease the risk of ischemic stroke in patients with hyperlipidemia (OR = 0.38, 95% CI = 0.11–1.29).

Conclusion: Our results suggested that it was necessary to prescribe warfarin for the prevention of ischemic events in hemodialysis patients with atrial fibrillation, but if these patients were already prescribed with other anticoagulants for the treatment of other co-existing diseases, then warfarin was not recommended.

Introduction

Although warfarin was indicated in the general atrial fibrillation (AF) population, its efficacy and safety in hemodialysis patients with atrial fibrillation remained controversial (Wizemann et al., 2010; Hori et al., 2013). It is well-known that hemodialysis patients have higher risk of bleeding since the routine practice of hemodialysis requires systemic anticoagulation with heparin (Mitsuma et al., 2016). When warfarin was prescribed, the bleeding risk could be aggravated by the combination of these two drugs. Thus, how to balance the risk-benefit of warfarin therapy for prevention of embolic events in patients with AF receiving hemodialysis was of clinical significance. The latest clinical guidelines recommended the warfarin therapy in these patients when the patient's score on CHADS2 was more than 2 (Chan et al., 2016). However, several observational studies, which mainly enrolled patients with two or more CHADS2 scores, produced conflicting results concerning the benefit and safety of warfarin therapy (Olesen et al., 2012; Tan et al., 2017). Hence the role of warfarin in AF patients receiving hemodialysis still needed further investigation.

Recent meta-analyses demonstrated that warfarin therapy could not provide a protective effect for stroke prevention, but may increase the risk of major bleeding in this particular population (Li et al., 2015; Nochaiwong et al., 2016). Although their conclusions were consistent, they still failed to offer meaningful suggestions to clinical practices because of two reasons: Firstly, the lack of evidence from randomized controlled trials in these populations; secondly, the confounding factors responsible for heterogeneity between studies were not identified. Therefore, we conducted an updated meta-analysis to reexamine the efficacy and safety of warfarin in AF patients receiving hemodialysis and assessed potential confounding factors affecting the risk-benefit profile of warfarin in this population.

Methods

Research Question

This review assessed the risk-benefit profile of warfarin in AF patients receiving hemodialysis.

Data Sources and Searches

We searched Medline, the Cochrane Central Register of Controlled Trials, and Embase using following terms: “atrial fibrillation,” “end stage renal disease,” “hemodialysis,” “warfarin,” “anticoagulation.” All databases were searched from their start date to Dec 10, 2017. There were no language limitations for the initial search.

Study Selection

Inclusion Criteria

Studies examining the benefit and safety of warfarin in hemodialysis patients with AF were included. Studies needed to report the crude event data on the risk for any of the following events: death, stroke, major bleeding. Studies that reported only ratios (i.e., hazard ratios) for our outcomes of interest were excluded, because these data couldn't be extracted for the following analyses.

Study Selection

Two reviewers (Hong Lei and Li-Ting Yu) independently screened the titles and abstracts of the articles. Included studies were reviewed by the same 2 reviewers for data extraction. In case of disagreement, a third reviewer (Wei-Ning Wang) was consulted for the decision on inclusion or exclusion for full-text evaluation.

Data Extraction and Quality Assessment

The following data were extracted from the included studies: The types of study population, follow-up time, mean age, the ratio of female, history of some cardiovascular diseases (stroke, hypertension, and hyperlipidemia). Also it was noted whether other anticoagulation drugs were prescribed to these patients. Each included study only provided study level data (baseline patient characteristics) rather than individual patient data, which may limit the analysis in certain groups of patients.

The study quality was judged using Newcastle-Ottawa Scale for cohort studies as previously described (Stang, 2010).

Data Analysis

The significance of the combined odds ratio (OR) was determined by the Z-test, in which P < 0.05 was considered significant. The χ2-based Q statistical test was used for the assessment of the between-study heterogeneity, which was considered significant for P < 0.1. The degree of inconsistency was estimated by I2 statistics. The I2 value indicated low (< 25%), moderate (25%−75%) and high (>75%) homogeneity. In analyses, if the heterogeneity was low, then we used a fixed-effect model, or else applied the random-effect model. Software of Review Manager 5.3 was used to perform the meta-analyses (available from Cochrane). To explore the sources of heterogeneity, subgroup analysis was performed. These subgroups were based on patient characteristics.

Results

A total of fifteen studies were finally included in this meta-analysis (Figure 1 Chan et al., 2009, 2015; Lai et al., 2009; Winkelmayer et al., 2011; Wakasugi et al., 2013; Chen et al., 2014; Genovesi et al., 2015; Shen et al., 2015; Yodogawa et al., 2015; Brancaccio et al., 2016; Garg et al., 2016; Mitsuma et al., 2016; Wang et al., 2016; Yamashita et al., 2016; Kai et al., 2017; Yoon et al., 2017). They were all cohort studies. There were no randomized controlled studies that evaluated the influence of warfarin therapy in AF patients receiving hemodialysis.

FIGURE 1
www.frontiersin.org

Figure 1. Flow diagram of selected studies.

Characteristics of the Studies

The characteristics of the included articles are reported in Table 1 (see below).

TABLE 1
www.frontiersin.org

Table 1. Characteristics of 16 studies included in the review.

Assessment of Methodological Quality

The NOS quality scores of all the included studies were high, ranging from 7 to 9 point (Table 2).

TABLE 2
www.frontiersin.org

Table 2. Assessment of methodological quality by NOS.

Mortality, Stroke and Major Bleeding Outcomes

For mortality, the pooled OR showed no significant association between the warfarin users and non-warfarin users: OR = 0.95 (95% CI = 0.89–1.02; p = 0.06; Figure 2A; Table 3). Similarly, no association of stroke among warfarin users and non-warfarin users was found. The pooled OR was 1.06 (95% CI = 0.87–1.30; Figure 2B; Table 3). Although warfarin had no statistically significant effects on all type strokes, its effects on ischemic stroke and hemorrhagic stroke still needed to be identified, respectively since the reduction in occlusive events might be offset by any increase in cerebral bleeds. Surprisingly, warfarin therapy was not associated with a deceased risk of ischemic stroke (OR = 0.85, 95% CI = 0.68–1.05; p = 0.01; Figure 2C; Table 3), but associated with an increased risk of hemorrhagic stroke (OR = 1.34, 95% CI = 1.13–1.59; p = 0.07; Figure 2D; Table 3), which demonstrated that AF patients receiving hemodialysis could not benefit from warfarin therapy, on the contrary, they would be exposed to a higher risk of cerebral bleeding. Besides, the meta analysis showed that warfarin increased the risk of major bleeding as well (OR = 1.24, 95% CI = 1.14–1.35; p = 0.76; Figure 2E; Table 3).

FIGURE 2
www.frontiersin.org

Figure 2. Warfarin use and the risk of mortality (A), all-type stroke (B), ischemic stroke (C), hemorrhagic stroke (D), and major bleeding (E) in atrial fibrillation patients receiving hemodialysis.

TABLE 3
www.frontiersin.org

Table 3. Odds ratio of clinical outcomes comparing warfarin users vs. non-warfarin users in different populations.

Taken together, observational studies included in this meta-analysis suggested that warfarin was not associated with mortality, stroke and ischemic stroke, but significantly increased the risk of hemorrhagic stroke and major bleeding.

Subgroup Analysis

Since there were high statistical heterogeneities among included studies that examined the mortality, stroke, and ischemic stroke, we planned subgroup analysis to assess the potential sources of heterogeneity based on baseline patient characteristics. Subgroup analyses stratified according to the age and history of stroke were performed and they failed to show associations between the use of warfarin and the risks of the outcomes above. We then assessed the source of heterogeneity by the baseline use of anticoagulants and antiplatelet agents and examined two subgroups according to the percents of patients taking anticoagulation agents in our analysis: subgroup 1 (>65%) and subgroup 2 (< 65%). Among these studies, a total of four studies were included in the subgroup 1 (Chan et al., 2015; Genovesi et al., 2015; Garg et al., 2016; Yoon et al., 2017), while the others were included in the subgroup 2 (Chan et al., 2009; Lai et al., 2009; Winkelmayer et al., 2011; Wakasugi et al., 2013; Chen et al., 2014; Shen et al., 2015; Yodogawa et al., 2015; Brancaccio et al., 2016; Mitsuma et al., 2016; Wang et al., 2016; Yamashita et al., 2016; Kai et al., 2017). Of note, when analyses were mainly restricted to AF patients who were undergoing hemodialysis and taking other anticoagulation agents (subgroup 1), the heterogeneity of these analyses were much reduced and the results suggested that warfarin was more likely to do harm than good. There was no association in all-cause mortality among warfarin users and non-warfarin users. The pooled OR was 0.98 (95% CI = 0.68–1.42; p = 0.48; Figure 3A; Table 3). For stroke, pooled OR between warfarin users and non-warfarin users was 1.14 (95% CI = 1.01–1.29; p = 0.79; Figure 3B; Table 3), which suggested a positive association between the warfarin therapy and the risk of stroke. Since there were two types of stroke and the effects of warfarin on both strokes remained unknown, we examined the impacts of warfarin use on the risk of ischemic stroke and hemorrhagic stroke, respectively. Surprisingly, warfarin therapy was not associated with a decreased risk of ischemic stroke (OR = 1.03, 95% CI = 0.89–1.19; p = 0.95; Figure 3C), but associated with a significant increased risk of hemorrhagic stroke (OR = 1.42, 95% CI = 1.14–1.77; p = 0.21; Figure 3D; Table 3). Besides, warfarin therapy was associated with a higher risk of major bleeding as well (OR = 1.24, 95% CI = 1.14–1.35; p = 0.31; Figure 3E; Table 3).

FIGURE 3
www.frontiersin.org

Figure 3. Warfarin use and the risk of mortality (A), all-type stroke (B), ischemic stroke (C), hemorrhagic stroke (D), and major bleeding (E) in atrial fibrillation patients receiving hemodialysis who took other anticoagulation drugs in the meantime.

When most of these patients didn't take other anticoagulation agents or aspirin, they seemed to benefit from warfarin therapy. Although there was no association in all-cause mortality (OR = 0.90, 95% CI = 0.78–1.04; p = 0.03; Figure 4A; Table 3) and stroke among warfarin users and non-warfarin users (OR = 1.00, 95% CI = 0.71–1.40; p = 0.002; Figure 4B; Table 3), warfarin therapy did decrease the risk of ischemic stroke in these patients and had no negative impact on hemorrhagic stroke. The pooled OR for ischemic stroke was 0.71 (95% CI = 0.60–0.85; p = 0.08; Figure 4C; Table 3) and for hemorrhagic stroke was 1.45 (95% CI = 0.83–2.55; p = 0.05; Figure 4D). Besides, major bleeding was not significantly increased in patients who received warfarin treatment as well (OR = 1.22, 95% CI = 0.56–2.65; p = 0.66; Figure 4E; Table 3).

FIGURE 4
www.frontiersin.org

Figure 4. Warfarin use and the risk of mortality (A), all-type stroke (B), ischemic stroke (C), hemorrhagic stroke (D), and major bleeding (E) in atrial fibrillation patients receiving hemodialysis who didn't took other anticoagulation drugs.

Additionally, we tested the effects of warfarin therapy on patients with different serum lipid levels. Since patient level data could not be obtained and we couldn't perform a subgroup analysis according to their lipid concentrations. Thus, we examined two subgroups according to the percents of patients with hyperlipidemia in our analysis: subgroup 1 (< 50%) and subgroup 2 (>65%). However, only six studies provided data on the percents of patients with hyperlipidemia and several preplanned subgroups analyses could not be performed because of limited number of included studies (Lai et al., 2009; Chen et al., 2014; Genovesi et al., 2015; Yamashita et al., 2016; Kai et al., 2017; Yoon et al., 2017). Only one subgroup analysis was performed to test the effects of warfarin therapy on ischemic stroke in these patients. Our results demonstrated that warfarin didn't exert a protective role in the patients with almost normal lipid levels (OR = 1.04, 95% CI = 0.85–1.26; p = 0.44; Figure 5A), but seemed to decrease the risk of ischemic stroke in patients with hyperlipidemia although the difference was not significant (OR = 0.38, 95% CI = 0.11–1.29; p = 0.03; Figure 5B).

FIGURE 5
www.frontiersin.org

Figure 5. Subgroup analysis of warfarin use and the risk of ischemic stroke in atrial fibrillation patients receiving hemodialysis. Results were presented for patients with almost normal lipid level (A) and with hyperlipidemia (B).

Risk of Bias

The risk of bias was assessed using Newcastle-Ottawa Scale for cohort studies. In total, all the included studies were considered to have a low risk of bias.

Discussion

Summary of Main Findings

Our meta-analysis showed that hemodialysis patients with atrial fibrillation could not benefit from warfarin therapy, since it didn't decrease the risk of ischemic stroke, on the contrary, it did increase the risk of bleeding events such as hemorrhagic stroke and major bleeding. These findings were consistent with previous results of meta-analyses demonstrated by Nochaiwong et al. (2016) and Tan et al. (2016). However, their results were inconclusive due to high heterogeneity among included studies, which made their conclusion less convincing. Although they performed subgroup analysis to explore potential sources of heterogeneity, the definite source of heterogeneity was sample size. They found the use of warfarin was associated with decreased risk of ischemic stroke in smaller studies (size < 500 patients), not in larger studies (size >500 patients). Whether the patient characteristics modified the impact of warfarin use was unknown. The subgroup analyses stratified according to baseline characteristics were not performed either due to limited statistical power or to lack of patient-level data.

Although there were high heterogeneities in our included studies as well, we explored the sources of heterogeneity and finally identified concomitant use of other anticoagulation agents as a potential source of such heterogeneity. If these patients didn't take other anticoagulation drugs, they could benefit from warfarin therapy since it significantly decreased the risk of ischemic stroke without increasing the risk of bleeding events. However, when these patients took aspirin or other anti-Platelet medications due to the con-morbidities, concomitant use of warfarin couldn't decrease the risk of ischemic stroke, on the contrary, it did significantly increase the risk of stroke and severe bleeding events such as hemorrhagic stroke and major bleeding. These findings suggested that it was necessary to prescribe warfarin for the prevention of ischemic events in hemodialysis patients with atrial fibrillation, but if these patients were already prescribed with other anticoagulants for the treatment of other co-existing diseases, then warfarin was not recommended. In other words, taking two or three anticoagulants were not recommended in these patients.

Besides, hyperlipidemia might be another source of heterogeneity of clinical outcomes in these patients. However, this conclusion was less convincing due to limited studies. Totally, Only 6 studies provided data on the percentage of hyperlipidemia patients in the baseline patient characteristics (Lai et al., 2009; Chen et al., 2014; Genovesi et al., 2015; Yamashita et al., 2016; Kai et al., 2017; Yoon et al., 2017). Among them, only 4 studies were included in the subgroup analysis to test whether the benefit of warfarin therapy for ischemic stroke prevention was related to abnormal lipid levels (Lai et al., 2009; Chen et al., 2014; Kai et al., 2017; Yoon et al., 2017). Our results demonstrated that warfarin didn't exert a protective role in the patients with almost normal lipid levels, but seemed to decrease the risk of ischemic stroke in patients with hyperlipidemia. Although there was no evidence that elevated blood lipid level was related to the increased risk of ischemic stroke in atrial fibrillation patients receiving hemodialysis, the association between hyperlipidemia and the risk of ischemic stroke in other diseases was clearly identified. For instance, it was reported that hyperlipidemia was a predictive factor for ischemic stroke and stroke severity in systemic lupus erythematosus (Mikdashi et al., 2007). Another study compared the frequency of hyperlipidemia, hypertension, and diabetes in patients with ischemic stroke and found that patients with abnormal lipid levels were more likely to develop ischemic stroke (Abid et al., 2012). A meta-analysis involving 42 trials showed that statin therapy, which mainly decreased the level of cholesterol, significantly decreased the risk of ischemic stroke by 16% (O'regan et al., 2008). These situations might elucidate the increased benefit of warfarin for ischemic stroke prevention in these hyperlipidemia patients.

Generally, CHADS2/CHA2DS2VASC scoring system was frequently used to guide toward oral anticoagulation therapy. As recommended by several guidelines, patients who had CHADS2/CHA2DS2VASC≧2 should initiate warfarin treatment (Kim et al., 2016; Chapman et al., 2017). However, among 12 included studies in our meta-analysis, which mainly enrolled patients who had CHADS2/CHA2DS2VASC≧2, there was not a consistent conclusion about the risk-benefit profile of warfarin in these patients (Chan et al., 2009, 2015; Winkelmayer et al., 2011; Wakasugi et al., 2013; Genovesi et al., 2015; Shen et al., 2015; Yodogawa et al., 2015; Garg et al., 2016; Mitsuma et al., 2016; Yamashita et al., 2016; Kai et al., 2017; Yoon et al., 2017). Only 2 studies showed that the receipt of warfarin was associated with a significantly lower risk of ischemic stroke, while others failed to prove the association between the warfarin therapy and clinical outcomes (Shen et al., 2015; Kai et al., 2017). Such differences across studies were probably related to the low cutoff points of CHADS2/CHA2DS2VASC scoring system since a recent report from China showed that warfarin therapy may be suitable for atrial fibrillation patients receiving hemodialysis who had CHADS2≧4 or CHA2DS2VASC ≧6 (Chao et al., 2014). Another potential explanation for this inconsistency was that there might be other potential confounders which can bias these results as well. If we mainly enrolled patients who didn't take other anticoagulation drugs other than warfarin, then these patients with a CHADS2/CHA2DS2VASC score of more than 2 could benefit from warfarin therapy since it could decrease the risk of ischemic stroke by nearly 30% without increasing the risk of major bleeding events (data not shown). This finding suggested that concomitant use of other anticoagulation drugs could be a confounding factor, which could affect the predictive value of CHADS2/CHA2DS2VASC scoring system in identifying groups of high risk hemodialysis patients with atrial fibrillation.

Furthermore, advanced age was considered as another dependent risk factor that was linked to elevated risk of adverse clinical events induced by warfarin therapy. Wizemann et al. found that for atrial fibrillation patients receiving hemodialysis who were more than 75 years old, the risk of anticoagulation therapy might outweigh the benefit (Wizemann et al., 2010). However, we didn't find the modification of the effect of warfarin by age in our meta-analysis. The average age of patients in our included studies ranged from 59.8 to 75 years, and there was not a trend indicating higher risk of adverse clinical events among elderly patients treated with warfarin (data not shown). Therefore, advanced age might have limited roles in guiding anticoagulation therapy in these patients.

Strengths and Limitations

This study has several strengths. Firstly, previous meta-analysis demonstrated that hemodialysis patients with atrial fibrillation could not benefit from warfarin therapy, however their conclusions were less convincing due to high heterogeneities. Although there were high heterogeneities in our included studies as well, we explored the sources of heterogeneity and finally identified concomitant use of other anticoagulation agents as a potential source of such heterogeneity. This finding emphasized the importance of warfarin prescription in the treatment of atrial fibrillation patients receiving hemodialysis despite of complex interrelationship between the pathophysiology and the clinical outcomes in these patients. Secondly, we demonstrated for the first time that these patients with hyperlipidemia were more likely to receive benefit from warfarin than those with normal lipid levels, though more studies were needed to confirm it.

We acknowledge several limitations of our study as well. Firstly, since there are no randomized controlled trials comparing anticoagulation treatments in atrial fibrillation patients receiving hemodialysis up to now, our findings should still be interpreted with great caution. Secondly, using study level data rather than individual patient data limited analysis in certain groups of patients. Access to individual patient data about the co-medication history helped to better clarify whether concomitant use of other anticoagulation drugs would cause more harm than good in the subgroup of patients. Thirdly, a total of four included studies didn't mention the CHADS2 or CHA2DS2-VASc score in the baseline characteristics and one study enrolled patients with an average CHADS2 score of 1.7 (< 2). These low risk or unknown risk patients might be poor candidates for warfarin therapy.

Conclusion

In conclusion, our study has demonstrated that atrial fibrillation patients receiving hemodialysis could benefit from warfarin treatment, but if other anticoagulation drugs were prescribed already due to co-existing diseases, then warfarin was not recommended. Traditional risk factors such as high CHADS2/CHA2DS2VASC score (≧2), could still identify groups of high risk hemodialysis patients with atrial fibrillation if they didn't take other anticoagulation drugs.

Author Contributions

HL and L-TY analyzed the data and wrote the manuscript. W-NW collected the data and performed the analyses. S-GZ designed the study and amended the paper.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

Abid, N., Khan, S. A., and Taseer, I. U. H. (2012). Frequency of hyperlipidemia in patients presenting with ischemic stroke. Pak. J. Med. Health Sci. 6, 423–427.

Google Scholar

Brancaccio, D., Neri, L., Bellocchio, F., Barbieri, C., Amato, C., Mari, F., et al. (2016). Patients' characteristics affect the survival benefit of warfarin treatment for hemodialysis patients with atrial fibrillation. A Historical Cohort Study. Am. J. Nephrol. 44, 258–267. doi: 10.1159/000448898

PubMed Abstract | CrossRef Full Text | Google Scholar

Chan, K. E., Edelman, E. R., Wenger, J. B., Thadhani, R. I., and Maddux, F. W. (2015). Dabigatran and rivaroxaban use in atrial fibrillation patients on hemodialysis. Circulation 131, 972–979. doi: 10.1161/CIRCULATIONAHA.114.014113

PubMed Abstract | CrossRef Full Text | Google Scholar

Chan, K. E., Lazarus, J. M., Thadhani, R., and Hakim, R. M. (2009). Warfarin use associates with increased risk for stroke in hemodialysis patients with atrial fibrillation. J. Am. Soc. Nephrol. 20, 2223–2233 doi: 10.1681/ASN.2009030319

PubMed Abstract | CrossRef Full Text | Google Scholar

Chan, P. H., Huang, D., Yip, P. S., Hai, J., Tse, H. F., Chan, T. M., et al. (2016). Ischaemic stroke in patients with atrial fibrillation with chronic kidney disease undergoing peritoneal dialysis. Europace 18, 665–671. doi: 10.1093/europace/euv289

PubMed Abstract | CrossRef Full Text | Google Scholar

Chao, T. F., Liu, C. J., Wang, K. L., Lin, Y. J., Chang, S. L., Lo, L. W., et al. (2014). Incidence and prediction of ischemic stroke among atrial fibrillation patients with end-stage renal disease requiring hemodialysis. Heart Rhythm 11, 1752–1759. doi: 10.1016/j.hrthm.2014.06.021

CrossRef Full Text | Google Scholar

Chapman, S. A., St Hill, C. A., Little, M. M., Swanoski, M. T., Scheiner, S. R., Ware, K. B., et al. (2017). Adherence to treatment guidelines: the association between stroke risk stratified comparing CHADS2 and CHA2DS2-VASc score levels and warfarin prescription for adult patients with atrial fibrillation. BMC Health Services Res. 17:127. doi: 10.1186/s12913-017-2025-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, J. J., Lin, L. Y., Yang, Y. H., Hwang, J. J., Chen, P. C., and Lin, J. L. (2014). Anti-platelet or anti-Coagulant agent for the prevention of ischemic stroke in patients with end-stage renal disease and atrial fibrillation–a nation-wide database analyses. Int. J. Cardiol. 177, 1008–1011. doi: 10.1016/j.ijcard.2014.09.140

PubMed Abstract | CrossRef Full Text | Google Scholar

Garg, L., Chen, C., and Haines, D. E. (2016). Atrial fibrillation and chronic kidney disease requiring hemodialysis - Does warfarin therapy improve the risks of this lethal combination? Int. J. Cardiol. 222, 47–50. doi: 10.1016/j.ijcard.2016.07.118

PubMed Abstract | CrossRef Full Text | Google Scholar

Genovesi, S., Rossi, E., Gallieni, M., Stella, A., Badiali, F., Conte, F., et al. (2015). Warfarin use, mortality, bleeding and stroke in haemodialysis patients with atrial fibrillation. Nephrol. Dial. Transplant 30, 491–498. doi: 10.1093/ndt/gfu334

PubMed Abstract | CrossRef Full Text | Google Scholar

Hori, M., Connolly, S. J., Zhu, J., Liu, L. S., Lau, C. P., Pais, P., et al. (2013). Dabigatran versus warfarin: effects on ischemic and hemorrhagic strokes and bleeding in Asians and non-Asians with atrial fibrillation. Stroke 44, 1891–1896. doi: 10.1161/strokeaha.113.000990

PubMed Abstract | CrossRef Full Text | Google Scholar

Kai, B., Bogorad, Y., Nguyen, L. N., Yang, S. J., Chen, W., Spencer, H. T., et al. (2017). Warfarin use and the risk of mortality, stroke, and bleeding in hemodialysis patients with atrial fibrillation. Heart Rhythm 14, 645–651. doi: 10.1016/j.hrthm.2017.01.047

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, W. J., Park, J. M., Kang, K., Cho, Y. J., Hong, K. S., Lee, S. J., et al. (2016). Adherence to guidelines for antithrombotic therapy in patients with atrial fibrillation according to CHADS2 score before and after stroke: a multicenter observational study from Korea. J. Clin. Neurol. 12, 34–41. doi: 10.3988/jcn.2016.12.1.34

PubMed Abstract | CrossRef Full Text | Google Scholar

Lai, H. M., Aronow, W. S., Kalen, P., Adapa, S., Patel, K., Goel, A., et al. (2009). Incidence of thromboembolic stroke and of major bleeding in patients with atrial fibrillation and chronic kidney disease treated with and without warfarin. Int. J. Nephrol. Renovasc. Dis. 2, 33–37.

PubMed Abstract | Google Scholar

Li, J., Wang, L., Hu, J., and Xu, G. (2015). Warfarin use and the risks of stroke and bleeding in hemodialysis patients with atrial fibrillation: a systematic review and a meta-analysis. Nutr. Metabol. Cardiovasc. Dis. 25, 706–713. doi: 10.1016/j.numecd.2015.03.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Mikdashi, J., Handwerger, B., Langenberg, P., Miller, M., and Kittner, S. (2007). Baseline disease activity, hyperlipidemia, and hypertension are predictive factors for ischemic stroke and stroke severity in systemic lupus erythematosus. Stroke 38, 281–285. doi: 10.1161/01.STR.0000254476.05620.14

PubMed Abstract | CrossRef Full Text | Google Scholar

Mitsuma, W., Matsubara, T., Hatada, K., Imai, S., Saito, N., Shimada, H., et al. (2016). Clinical characteristics of hemodialysis patients with atrial fibrillation: The RAKUEN (Registry of atrial fibrillation in chronic kidney disease under hemodialysis from Niigata) study. J. Cardiol. 68, 148–155. doi: 10.1016/j.jjcc.2015.08.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Nochaiwong, S., Ruengorn, C., Awiphan, R., Dandecha, P., Noppakun, K., and Phrommintikul, A. (2016). Original research article: efficacy and safety of warfarin in hemodialysis patients with atrial fibrillation: a systematic review and meta-analysis. Open Heart 3:e000441. doi: 10.1136/openhrt-2016-000441

CrossRef Full Text | Google Scholar

Olesen, J. B., Lip, G. Y., Kamper, A. L., Hommel, K., Køber, L., Lane, D. A., et al. (2012). Stroke and bleeding in atrial fibrillation with chronic kidney disease. N. Engl. J. Med. 367, 625–635. doi: 10.1056/NEJMoa1105594

PubMed Abstract | CrossRef Full Text | Google Scholar

O'regan, C., Wu, P., Arora, P., Perri, D., and Mills, E. J. (2008). Statin therapy in stroke prevention: a meta-analysis involving 121,000 patients. Am. J. Med. 121, 24–33. doi: 10.1016/j.amjmed.2007.06.033

PubMed Abstract | CrossRef Full Text | Google Scholar

Shen, J. I., Montez-Rath, M. E., Lenihan, C. R., Turakhia, M. P., Chang, T. I., and Winkelmayer, W. C. (2015). Outcomes after warfarin initiation in a cohort of hemodialysis patients with newly diagnosed atrial fibrillation. Am. J. Kidney Dis. 66, 677–688. doi: 10.1053/j.ajkd.2015.05.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Stang, A. (2010). Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur. J. Epidemiol. 25, 603–605 doi: 10.1007/s10654-010-9491-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Tan, J., Bae, S., Segal, J. B., Zhu, J., Segev, D. L., Alexander, G. C., et al. (2017). Treatment of atrial fibrillation with warfarin among older adults with end stage renal disease. J. Nephrol. 30, 831–839. doi: 10.1007/s40620-016-0374-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Tan, J., Liu, S., Segal, J. B., Alexander, G. C., and McAdams-DeMarco, M. (2016). Warfarin use and stroke, bleeding and mortality risk in patients with end stage renal disease and atrial fibrillation: a systematic review and meta-analysis. BMC Nephrol. 17:157 doi: 10.1186/s12882-016-0368-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Wakasugi, M., Kazama, J. J., Tokumoto, A., Suzuki, K., Kageyama, S., Ohya, K., et al. (2013). Association between warfarin use and incidence of ischemic stroke in Japanese hemodialysis patients with chronic sustained atrial fibrillation: a prospective cohort study. Clin. Exp. Nephrol. 18, 662–669. doi: 10.1007/s10157-013-0885-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, T. K., Sathananthan, J., Marshall, M., Kerr, A., and Hood, C. (2016). Relationships between anticoagulation, risk scores and adverse outcomes in hemodialysis patients with atrial fibrillation. Heart Lung Circul. 25, 243–249. doi: 10.1016/j.hlc.2015.08.012

CrossRef Full Text | Google Scholar

Winkelmayer, W. C., Liu, J., Setoguchi, S., and Choudhry, N. K. (2011). Effectiveness and safety of warfarin initiation in older hemodialysis patients with incident atrial fibrillation. Clin. J. Am. Soc. Nephrol. 6, 2662–2668. doi: 10.2215/CJN.04550511

PubMed Abstract | CrossRef Full Text | Google Scholar

Wizemann, V., Tong, L., Satayathum, S., Disney, A., Akiba, T., Fissell, R. B., et al. (2010). Atrial fibrillation in hemodialysis patients: clinical features and associations with anticoagulant therapy. Kidney Int. 77, 1098–1106. doi: 10.1038/ki.2009.477

PubMed Abstract | CrossRef Full Text | Google Scholar

Yamashita, Y., Takagi, D., Hamatani, Y., Iguchi, M., Masunaga, N., Esato, M., et al. (2016). Clinical characteristics and outcomes of hemodialysis patients with atrial fibrillation: the Fushimi AF Registry. Heart Vessels 31, 1–10. doi: 10.1007/s00380-016-0818-x

CrossRef Full Text | Google Scholar

Yodogawa, K., Mii, A., Fukui, M., Iwasaki, Y. K., Hayashi, M., Kaneko, T., et al. (2015). Warfarin use and incidence of stroke in Japanese hemodialysis patients with atrial fibrillation. Heart Vessels 31, 1–5. doi: 10.1007/s00380-015-0777-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Yoon, C. Y., Noh, J., Jhee, J. H., Chang, T. I., Kang, E. W., Kee, Y. K., et al. (2017). Warfarin use in patients with atrial fibrillation undergoing hemodialysis: a nationwide population-based study. Stroke 48, 2472–2479. doi: 10.1161/STROKEAHA.117.017114

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: warfarin, atrial fibrillation, hemodialysis, anticoagulation therapy, stroke

Citation: Lei H, Yu L-T, Wang W-N and Zhang S-G (2018) Warfarin and the Risk of Death, Stroke, and Major Bleeding in Patients With Atrial Fibrillation Receiving Hemodialysis: A Systematic Review and Meta-Analysis. Front. Pharmacol. 9:1218. doi: 10.3389/fphar.2018.01218

Received: 04 May 2018; Accepted: 05 October 2018;
Published: 06 November 2018.

Edited by:

Jean-Paul Deslypere, Besins Healthcare, Thailand

Reviewed by:

Robert L. Lins, Retired, Antwerpen, Belgium
Gaurav Deshpande, HealthCore, Inc., United States

Copyright © 2018 Lei, Yu, Wang and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Shun-Guo Zhang, andyzhang_2005@sina.com

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.