The impact of kidney function in patients on antithrombotic therapy: a post hoc subgroup analysis focusing on recurrent bleeding events from the AFIRE trial

Kunihiko Matsui, Satoshi Yasuda, Koichi Kaikita, Masaharu Akao, Junya Ako, Tetsuya Matoba, Masato Nakamura, Katsumi Miyauchi, Nobuhisa Hagiwara, Kazuo Kimura, Atsushi Hirayama, Hisao Ogawa, Kunihiko Matsui, Satoshi Yasuda, Koichi Kaikita, Masaharu Akao, Junya Ako, Tetsuya Matoba, Masato Nakamura, Katsumi Miyauchi, Nobuhisa Hagiwara, Kazuo Kimura, Atsushi Hirayama, Hisao Ogawa

Abstract

Background: The success of antithrombotic therapies is assessed based on thrombotic and bleeding events. Simultaneously assessing both kinds of events might be challenging, and recurrent bleeding events are often ignored. We tried to confirm the effects of kidney function on outcome events in patients undergoing antithrombotic therapy.

Methods: As a post hoc subgroup analysis of the Atrial Fibrillation and Ischemic Events with Rivaroxaban in Patients with Stable Coronary Artery Disease (AFIRE) trial, a randomized clinical trial with a median follow-up of 36 months, patients were divided into high and low estimated glomerular filtration rate (eGFR) groups with a cutoff value of 50 mL/min. The cumulative incidence of bleeding and crude incidence of recurrent bleeding per 100 patient-years were calculated. We used the Cox regression model with multiple failure time data for recurrent bleeding events.

Results: Among 2092 patients, 1386 (66.3%) showed high eGFR. The cumulative bleeding events per 100 patients at 1 year were 5.4 and 6.2 in the high and low eGFR groups, respectively. The difference continued to increase over time. The hazard ratio for time to the first bleeding event in the high eGFR group was 0.875 (95% confidence interval 0.701-1.090, p = .234) and that for the first composite event was 0.723 (95% confidence interval 0.603-0.867, p < .000). The recurrent bleeding events per 100 person-years were 11.3 and 15.3 in the high and low eGFR groups, respectively, with a rate ratio of 0.738 (95% confidence interval 0.615-0.886, p = .001). During the observation period, the risk of bleeding changed with time. It peaked soon after the study enrollment in both groups. It decreased continuously in the high eGFR group but remained high in the low eGFR group.

Conclusions: We reaffirmed that kidney function affects bleeding events in patients on antithrombotic therapy, considering recurrent events. Patients should have detailed discussions with physicians regarding the possible bleeding events when continuing antithrombotic therapy, especially in patients with decreased kidney function.

Trial registration: UMIN Clinical Trials Registry, UMIN000016612 . ClinicalTrials.gov, NCT02642419 . Registered on 21 October 2015.

Keywords: Antithrombotic therapy; Atrial fibrillation; Bleeding event; Creatinine clearance; Estimated glomerular filtration rate; Kidney function; Non-vitamin K antagonistic oral anticoagulants; Recurrent event; Thrombotic event.

Conflict of interest statement

KMa has no relationships relevant to the contents of this paper to disclose. SY reports grants from Takeda Pharmaceutical, Abbott, and Boston Scientific and personal fees from Daiichi-Sankyo and Bristol-Meyers. KKa reports grants from Grants-in-Aid for Scientific Research (20K08451) from the Ministry of Education, Culture, Sports, Science and Technology of Japan and grants and personal fees from Bayer Yakuhin and Daiichi Sankyo. MA reports grants from the Japan Agency for Medical Research and Development (AMED), personal fees from Bristol-Myers Squibb and Nippon Boehringer Ingelheim, and grants and personal fees from Bayer Yakuhin and Daiichi Sankyo. JA reports personal fees from Bayer Yakuhin and Sanofi and grants and personal fees from Daiichi Sankyo. TM reports grants from Japan Cardiovascular Research Foundation and personal fees from Nippon Boehringer Ingelheim, Daiichi Sankyo, Astra Zeneca, and Bayer Yakuhin. MN reports grants and personal fees from Bayer Yakuhin, Daiichi Sankyo, and Sanofi and personal fees from Bristol-Myers Squibb and Nippon Boehringer Ingelheim. KMi reports personal fees from Amgen Astellas BioPharma, Astellas Pharma, MSD, Bayer Yakuhin, Sanofi, Takeda Pharmaceutical, Daiichi-Sankyo, Nippon Boehringer Ingelheim, and Bristol-Myers Squibb. NH reports grants and personal fees from Bayer Yakuhin, grants from Nippon Boehringer Ingelheim, and personal fees from Bristol-Myers Squibb. KKi reports grants from the Japan Cardiovascular Research Foundation; grants and personal fees from Bayer Yakuhin, Daiichi Sankyo, Sanofi, MSD, and AstraZeneca; and personal fees from Bristol-Myers Squibb and Nippon Boehringer Ingelheim. AH reports grants and personal fees from Boston Scientific Japan, Otsuka Pharmaceutical, Sanofi, Astellas Pharma, Bristol-Myers Squibb, Daiichi Sankyo, and Bayer Yakuhin; grants from Fukuda Denshi, Abbott Japan, Japan Lifeline, Takeda Pharmaceutical, and Sumitomo Dainippon Pharma; and personal fees from Toa Eiyo, Nippon Boehringer Ingelheim, Amgen Astellas BioPharma, and AstraZeneca. HO reports personal fees from Towa Pharmaceutical, Bristol-Meyers Squibb, Pfizer, Toa Eiyo, Bayer Yakuhin, and Novartis Pharma.

© 2022. The Author(s).

Figures

Fig. 1
Fig. 1
Estimated cumulative number of bleeding events per 100 patients. Time since enrollment (days)
Fig. 2
Fig. 2
Estimated risk of bleeding events, Cockcroft–Gault equation at 50 mL/min. Time since enrollment (days)

References

    1. Steg PG, Bhatt DL. Is there really a benefit to net clinical benefit in testing antithrombotics? Circulation. 2018;137(14):1429–1431. doi: 10.1161/CIRCULATIONAHA.117.033442.
    1. Roy P, Bonello L, Torguson R, de Labriolle A, Lemesle G, Slottow TLP, Steinberg DH, Kaneshige K, Xue Z, Satler LF, et al. Impact of “nuisance” bleeding on clopidogrel compliance in patients undergoing intracoronary drug-eluting stent implantation. Am J Cardiol. 2008;102(12):1614–1617. doi: 10.1016/j.amjcard.2008.07.063.
    1. Ben-Dor I, Torguson R, Scheinowitz M, Li Y, Delhaye C, Wakabayashi K, Maluenda G, Syed AI, Collins SD, Gonzalez MA, et al. Incidence, correlates, and clinical impact of nuisance bleeding after antiplatelet therapy for patients with drug-eluting stents. Am Heart J. 2010;159(5):871–875. doi: 10.1016/j.ahj.2010.01.016.
    1. Halvorsen S, Storey RF, Rocca B, Sibbing D, ten Berg J, Grove EL, Weiss TW, Collet J-P, Andreotti F, Gulba DC, et al. Management of antithrombotic therapy after bleeding in patients with coronary artery disease and/or atrial fibrillation: expert consensus paper of the European Society of Cardiology Working Group on Thrombosis. Eur Heart J. 2017;38(19):1455–1462.
    1. Goldberg R, Gore JM, Barton B, Gurwitz J. Individual and composite study endpoints: separating the wheat from the chaff. Am J Med. 2014;127(5):379–384. doi: 10.1016/j.amjmed.2014.01.011.
    1. Glynn RJ, Buring JE. Ways of measuring rates of recurrent events. BMJ. 1996;312(7027):364–367. doi: 10.1136/bmj.312.7027.364.
    1. Pocock SJ, Stone GW, Mehran R, Clayton TC. Individualizing treatment choices using quantitative methods. Am Heart J. 2014;168(5):607–610. doi: 10.1016/j.ahj.2014.08.003.
    1. Soliman EZ, Prineas RJ, Go AS, Xie D, Lash JP, Rahman M, Ojo A, Teal VL, Jensvold NG, Robinson NL, et al. Chronic kidney disease and prevalent atrial fibrillation: the Chronic Renal Insufficiency Cohort (CRIC) Am Heart J. 2010;159(6):1102–1107. doi: 10.1016/j.ahj.2010.03.027.
    1. Reinecke H, Brand E, Mesters R, Schäbitz W-R, Fisher M, Pavenstädt H, Breithardt G. Dilemmas in the management of atrial fibrillation in chronic kidney disease. J Am Soc Nephrol. 2009;20(4):705–711. doi: 10.1681/ASN.2007111207.
    1. Nielsen PB, Lane DA, Rasmussen LH, Lip GY, Larsen TB. Renal function and non-vitamin K oral anticoagulants in comparison with warfarin on safety and efficacy outcomes in atrial fibrillation patients: a systemic review and meta-regression analysis. Clin Res Cardiol. 2015;104(5):418–429. doi: 10.1007/s00392-014-0797-9.
    1. Yasuda S, Kaikita K, Akao M, Ako J, Matoba T, Nakamura M, Miyauchi K, Hagiwara N, Kimura K, Hirayama A, et al. Antithrombotic therapy for atrial fibrillation with stable coronary disease. N Engl J Med. 2019;381(12):1103–1113. doi: 10.1056/NEJMoa1904143.
    1. Yasuda S, Kaikita K, Ogawa H, Akao M, Ako J, Matoba T, Nakamura M, Miyauchi K, Hagiwara N, Kimura K, et al. Atrial fibrillation and ischemic events with rivaroxaban in patients with stable coronary artery disease (AFIRE): protocol for a multicenter, prospective, randomized, open-label, parallel group study. Int J Cardiol. 2018;265:108–112. doi: 10.1016/j.ijcard.2018.04.131.
    1. Wolbers M, Koller MT, Stel VS, Schaer B, Jager KJ, Leffondré K, Heinze G. Competing risks analyses: objectives and approaches. Eur Heart J. 2014;35(42):2936–2941. doi: 10.1093/eurheartj/ehu131.
    1. Competing-risks regression. In: Stata survival analysis reference manual. College Station, TX: Stata Press. StataCorp; 2017. p. 154–179.
    1. Rogers JK, Pocock SJ, McMurray JJV, Granger CB, Michelson EL, Östergren J, Pfeffer MA, Solomon SD, Swedberg K, Yusuf S. Analysing recurrent hospitalizations in heart failure: a review of statistical methodology, with application to CHARM-Preserved. Eur J Heart Fail. 2014;16(1):33–40. doi: 10.1002/ejhf.29.
    1. Calculate person-time, incidence rates, and SMR. In: Stata survival analysis reference manual. College Station, TX: Stata Press. StataCorp; 2017. p. 253–260.
    1. Report incidence-rate comparison. In: Stata survival analysis reference manual. College Station, TX: Stata Press. StataCorp; 2017. p. 249–252.
    1. Cox regression with multiplefailure data. In: Stata survival analysis reference manual. College Station, TX: Stata Press. StataCorp; 2017. p. 86–88.
    1. Cleves K. How do I analyze multiple failure-time data using Stata? Analysis of multiple failure-time survival data. Stata FAQ. Available at . Accessed 30 Jan 2022.
    1. Funakoshi Y, Fujiwara Y, Kiyota N, Mukohara T, Shimada T, Toyoda M, Imamura Y, Chayahara N, Umezu M, Otsuki N, et al. Prediction of glomerular filtration rate in cancer patients by an equation for Japanese estimated glomerular filtration rate. Jpn J Clin Oncol. 2013;43(3):271–277. doi: 10.1093/jjco/hys235.
    1. Whittaker CF, Miklich MA, Patel RS, Fink JC. Medication safety principles and practice in CKD. Clin J Am Soc Nephrol. 2018;13(11):1738–1746. doi: 10.2215/CJN.00580118.
    1. Ha JT, Neuen BL, Cheng LP, Jun M, Toyama T, Gallagher MP, Jardine MJ, Sood MM, Garg AX, Palmer SC, et al. Benefits and harms of oral anticoagulant therapy in chronic kidney disease: a systematic review and meta-analysis. Ann Intern Med. 2019;171(3):181–189. doi: 10.7326/M19-0087.
    1. Bergmark Brian A, Kamphuisen Pieter W, Wiviott Stephen D, Ruff Christian T, Antman Elliott M, Nordio F, Kuder Julia F, Mercuri Michele F, Lanz Hans J, Braunwald E, et al. Comparison of events across bleeding scales in the ENGAGE AF-TIMI 48 Trial. Circulation. 2019;140(22):1792–1801. doi: 10.1161/CIRCULATIONAHA.119.041346.
    1. Patrick WS, Mariusz T, Ply C, Rodrigo M, Norihiro K, Kuniaki T, Chun Chin C, Ernest S, Simon JW, David A, et al. Patient-oriented composite endpoints and net adverse clinical events with ticagrelor monotherapy following percutaneous coronary intervention: insights from the randomised GLOBAL LEADERS trial. EuroIntervention. 2019;15(12):e1090–e1098. doi: 10.4244/EIJ-D-19-00202.
    1. Armstrong PW, Westerhout CM, Van de Werf F, Califf RM, Welsh RC, Wilcox RG, Bakal JA. Refining clinical trial composite outcomes: an application to the Assessment of the Safety and Efficacy of a New Thrombolytic–3 (ASSENT-3) trial. Am Heart J. 2011;161(5):848–854. doi: 10.1016/j.ahj.2010.12.026.
    1. Bakal JA, Westerhout CM, Cantor WJ, Fernández-Avilés F, Welsh RC, Fitchett D, Goodman SG, Armstrong PW. Evaluation of early percutaneous coronary intervention vs. standard therapy after fibrinolysis for ST-segment elevation myocardial infarction: contribution of weighting the composite endpoint. Eur Heart J. 2012;34(12):903–908. doi: 10.1093/eurheartj/ehs438.
    1. Kaul S, Diamond GA. Trial and error. J Am Coll Cardiol. 2010;55(5):415–427. doi: 10.1016/j.jacc.2009.06.065.
    1. Armstrong PW, Westerhout CM. Composite end points in clinical research. Circulation. 2017;135(23):2299–2307. doi: 10.1161/CIRCULATIONAHA.117.026229.
    1. Claggett B, Pocock S, Wei LJ, Pfeffer MA, McMurray JJV, Solomon SD. Comparison of time-to-first event and recurrent-event methods in randomized clinical trials. Circulation. 2018;138(6):570–577. doi: 10.1161/CIRCULATIONAHA.117.033065.
    1. Garcia DA, Lopes RD, Hylek EM. New-onset atrial fibrillation and warfarin initiation: high risk periods and implications for new antithrombotic drugs. Thromb Haemost. 2010;104(12):1099–1105. doi: 10.1160/TH10-07-0491.
    1. Ray WA. Evaluating medication effects outside of clinical trials: new-user designs. Am J Epidemiol. 2003;158(9):915–920. doi: 10.1093/aje/kwg231.
    1. Hindricks G, Potpara T, Dagres N, Arbelo E, Bax JJ, Blomström-Lundqvist C, Boriani G, Castella M, Dan G-A, Dilaveris PE, et al. 2020 ESC Guidelines for the diagnosis and management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic Surgery (EACTS): the Task Force for the diagnosis and management of atrial fibrillation of the European Society of Cardiology (ESC) Developed with the special contribution of the European Heart Rhythm Association (EHRA) of the ESC. Eur Heart J. 2020;42(5):373–498. doi: 10.1093/eurheartj/ehaa612.
    1. Turakhia MP, Blankestijn PJ, Carrero J-J, Clase CM, Deo R, Herzog CA, Kasner SE, Passman RS, Pecoits-Filho R, Reinecke H, et al. Chronic kidney disease and arrhythmias: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference. Eur Heart J. 2018;39(24):2314–2325. doi: 10.1093/eurheartj/ehy060.
    1. January CT, Wann LS, Calkins H, Chen LY, Cigarroa JE, Cleveland JC, Ellinor PT, Ezekowitz MD, Field ME, Furie KL, et al. 2019 AHA/ACC/HRS Focused Update of the 2014 AHA/ACC/HRS Guideline for the Management of Patients With Atrial Fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Rhythm Society in Collaboration with the Society of Thoracic Surgeons. Circulation. 2019;140(2):e125–e151. doi: 10.1161/CIR.0000000000000665.
    1. Tomaselli GF, Mahaffey KW, Cuker A, Dobesh PP, Doherty JU, Eikelboom JW, Florido R, Gluckman TJ, Hucker WJ, Mehran R, et al. 2020 ACC Expert Consensus Decision Pathway on Management of Bleeding in Patients on Oral Anticoagulants: a report of the American College of Cardiology Solution Set Oversight Committee. J Am Coll Cardiol. 2020;76(5):594–622. doi: 10.1016/j.jacc.2020.04.053.
    1. Wang R, Lagakos SW, Ware JH, Hunter DJ, Drazen JM. Statistics in medicine—reporting of subgroup analyses in clinical trials. N Engl J Med. 2007;357(21):2189–2194. doi: 10.1056/NEJMsr077003.

Source: PubMed

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