Literature DB >> 30717613

Short-Term Outcomes in Newly Diagnosed Atrial Fibrillation and Chronic Kidney Disease: How Important Is Ethnicity?

Wern Yew Ding1, Ahsan A Khan1, Dhiraj Gupta1, Gregory Y H Lip1,2.   

Abstract

See Article by Goto et al .

Entities:  

Keywords:  Editorials; atrial fibrillation; chronic kidney disease; outcomes research

Mesh:

Year:  2019        PMID: 30717613      PMCID: PMC6405578          DOI: 10.1161/JAHA.119.011953

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   5.501


Atrial fibrillation (AF) often co‐exists with other comorbidities and has an increased prevalence and incidence with worsening renal function.1, 2, 3 Overall management of the condition includes detailed risk assessment, cardiovascular risk reduction, and stroke prevention. The latter requires appropriate use of oral anticoagulation (OAC) whether as vitamin K antagonists (eg, warfarin) or non–vitamin K antagonist oral anticoagulants (NOACs), and regional differences are evident in their uptake.4 Nevertheless, optimal OAC use poses challenges if chronic kidney disease (CKD) is also present, given the difficulties of maintaining good anticoagulation control with warfarin5 (leading to prognostic implications6) and since all NOACs have a degree of renal dependency for their excretion.7 The risk of stroke in AF is not homogeneous (being dependent on various stroke risk factors that have been used to formulate risk stratification schemes8), and presence of CKD increases stroke risk, although not additive to stroke risk stratification using the CH2ADS2‐VASc score9 given that many of the pre‐existing components of this score are already strongly associated with renal function. In the current issue of the Journal of the American Heart Association (JAHA), Goto et al10 report on the impact of CKD on 1‐year outcomes in patients with newly diagnosed AF. Data on 33 024 patients from the international, prospective GARFIELD‐AF (Global Anticoagulant Registry in the FIELD‐Atrial Fibrillation) were analyzed. They found that mild and moderate‐to‐severe CKD were independently associated with increased adjusted all‐cause mortality at 1‐year, adjusted hazard ratio of 1.45 (95% CI 1.26–1.66) and 1.82 (95% CI 1.59–2.09), respectively. After adjusting for baseline characteristics and antithrombotic use, moderate‐to‐severe CKD was independently associated with increased 1‐year risk of stroke/systemic embolism, major bleeding, all‐cause mortality, cardiovascular/noncardiovascular mortality, new‐onset acute coronary syndrome, and heart failure. Perhaps the most interesting finding in the study is the different impact of CKD among patients from Asia compared with the rest of the world (RoW) (Figure). Patients from Asia with newly diagnosed AF and no CKD have a lower 1‐year all‐cause mortality of 2.2% (95% CI 2.05–2.77) compared with the RoW of 3.4% (95% CI 3.31–3.91). At first glance, it would appear that mild CKD does not contribute to any increase in all‐cause mortality among patients from Asia as it does for the RoW. However, moderate‐to‐severe CKD causes a dramatic rise in all‐cause mortality among patients from Asia such that their increased mortality (adjusted hazard ratio of 2.44, 95% CI 1.83–3.26) significantly exceeds that for RoW (adjusted hazard ratio of 1.64, 95% CI 1.41–1.90).
Figure 1

The role of chronic kidney disease in patients with atrial fibrillation from Asia vs rest of the world (ROW)—results from GARFIELD‐AF registry. AF indicates atrial fibrillation; CKD, chronic kidney disease.

The role of chronic kidney disease in patients with atrial fibrillation from Asia vs rest of the world (ROW)—results from GARFIELD‐AF registry. AF indicates atrial fibrillation; CKD, chronic kidney disease. Before attempting to rationalize this, a few points deserve stating. First, patients from Asia had a lower body mass index, prevalence of coronary artery disease, hypertension, and hypercholesterolemia. While hazard ratios were adjusted for various factors including hypertension, none of the other formerly mentioned factors were taken into account. Secondly, as acknowledged by the authors, the severity of CKD was classified by individual investigators and no laboratory data on renal function were collected. This has a potential for major bias. More importantly, the methods used to determine estimated glomerular filtration rate were not standardized. It has previously been shown that the discriminant capability for the 1‐year risk of death in AF differed with various estimated glomerular filtration calculation algorithms (Table): The best was the Cockroft‐Gault equation adjusted for body surface area, followed by Cockroft‐Gault, Chronic Kidney Disease Epidemiology Collaboration, and Modification of Diet in Renal Disease equations.11, 12, 13, 14 Additionally, several studies have demonstrated ethnic variations in normal reference values for glomerular filtration rate,15, 16, 17 which may be improved with the inclusion of an ethnic coefficient.11
Table 1

Formulae to Calculate Estimated Glomerular Filtration Rate

NameEquation
Cockroft‐Gault12 (140−age)×(weight, kg)×(0.85 if female)/(72×Cr) IBW, kg (male)=50+[2.3×(height, inches−60)] IBW, kg (female)=45.5+[2.3×(height, inches−60)]
Chronic Kidney Disease Epidemiology Collaboration13 A×(SCr/B)C×0.993 age×(1.159 if black), where A, B, and C are the following:
FemaleMale
SCr ≤0.7A=144SCr ≤0.9A=141
B=0.7B=0.9
C=−0.329C=−0.411
SCr ≥0.7A=144SCr ≥0.9A=141
B=0.7B=0.9
C=−1.209C=−1.209
Modification of Diet in Renal Disease14 186×Serum Cr−1.154×age−0.203×1.212 (if patient is black)×0.742 (if female)

Cr indicates creatinine; IBW, ideal body weight; SCr, serum creatinine.

Formulae to Calculate Estimated Glomerular Filtration Rate Cr indicates creatinine; IBW, ideal body weight; SCr, serum creatinine. A previous study reported lower mortality rates in Asian patients with CKD compared with whites.18 Therefore, in context of the results reported by Goto et al, 10 it may be postulated that the presence of newly diagnosed AF in an Asian population with advanced CKD alters the risk profile significantly such that these patients experience a dramatic rise in 1‐year all‐cause mortality, and any protective effects that are conferred by ethnicity, environmental factors, or lifestyle are lost. Alternatively, this may reflect ineffective overall management of patients with moderate‐to‐severe CKD in Asia.18 The study found that in Asia compared with the RoW, there was less frequent use of vitamin K antagonist±antiplatelet therapy, but increased use of both antiplatelet monotherapy and no antithrombotic therapy, as well as comparable rates of NOACs±antiplatelets. In addition, patients in Asia treated with vitamin K antagonists were less likely to achieve time in therapeutic range≥65% for target international normalized ratio of 2.0 to 3.0 (no/mild CKD: 19.8% in Asia versus 46.3% in RoW and moderate‐to‐severe CKD: 16.0% in Asia versus 44.4% in RoW). These data on poorer time in therapeutic range are supportive of the increased efficacy and safety with NOACs in Asians compared with non‐Asians.19, 20 Despite the disparity in antithrombotic management, observed stroke/systemic embolism and major bleeding rates were rather similar for both regions and CKD groups. However, event rates were low and hence true differences may not have been detected. Several limitations are inherent when performing studies such as this using registry data. An important limitation to consider is that the CKD stage was assessed only at the time of enrollment and therefore did not account for possible time‐dependent changes in renal function. Asian patients have previously been reported to have faster progression of CKD.18 While taking into account time‐dependent change in renal function is less important when assessing short‐term outcomes, it is imperative that future studies with longer follow‐up include this to enable accurate assessment of the effects of renal function on morbidity and mortality outcomes in patients with AF. In summary, the study by Goto et al10 has demonstrated a negative impact of CKD in newly diagnosed AF patients, with greater effect seen in moderate‐to‐severe CKD patients from Asia. Future studies are needed to confirm the findings and evaluate the ethnic differences reported here.

Disclosures

Lip reports consulting for Bayer/Janssen, BMS/Pfizer, Medtronic, Boehringer Ingelheim, Novartis, Verseon, and Daiichi‐Sankyo; Speaker for Bayer, BMS/Pfizer, Medtronic, Boehringer Ingelheim, and Daiichi‐Sankyo. No fees are directly received personally. Gupta reports speaking for Bayer, BMS/Pfizer, Boehringer Ingelheim, Daiichi‐Sankyo, Medtronic, Biosense Webster, and Boston Scientific. Proctor for Abbott and Research Grants from Medtronic, Biosense Webster, and Boston Scientific. The remaining authors have no disclosures to report.
  20 in total

1.  Differences in progression of CKD and mortality amongst Caucasian, Oriental Asian and South Asian CKD patients.

Authors:  Sean J Barbour; Lee Er; Ognjenka Djurdjev; Mohamud Karim; Adeera Levin
Journal:  Nephrol Dial Transplant       Date:  2010-04-05       Impact factor: 5.992

2.  Prediction of creatinine clearance from serum creatinine.

Authors:  D W Cockcroft; M H Gault
Journal:  Nephron       Date:  1976       Impact factor: 2.847

3.  Chronic kidney disease is associated with the incidence of atrial fibrillation: the Atherosclerosis Risk in Communities (ARIC) study.

Authors:  Alvaro Alonso; Faye L Lopez; Kunihiro Matsushita; Laura R Loehr; Sunil K Agarwal; Lin Y Chen; Elsayed Z Soliman; Brad C Astor; Josef Coresh
Journal:  Circulation       Date:  2011-06-06       Impact factor: 29.690

4.  Renal Function, Time in Therapeutic Range and Outcomes in Warfarin-Treated Atrial Fibrillation Patients: A Retrospective Analysis of Nationwide Registries.

Authors:  Anders Nissen Bonde; Gregory Y H Lip; Anne-Lise Kamper; Laila Staerk; Christian Torp-Pedersen; Gunnar Gislason; Jonas Bjerring Olesen
Journal:  Thromb Haemost       Date:  2017-12-06       Impact factor: 5.249

5.  A new equation to estimate glomerular filtration rate.

Authors:  Andrew S Levey; Lesley A Stevens; Christopher H Schmid; Yaping Lucy Zhang; Alejandro F Castro; Harold I Feldman; John W Kusek; Paul Eggers; Frederick Van Lente; Tom Greene; Josef Coresh
Journal:  Ann Intern Med       Date:  2009-05-05       Impact factor: 25.391

Review 6.  Asian strategy for stroke prevention in atrial fibrillation.

Authors:  Chern-En Chiang; Kang-Ling Wang; Shing-Jong Lin
Journal:  Europace       Date:  2015-10       Impact factor: 5.214

7.  Predicting Thromboembolic and Bleeding Event Risk in Patients with Non-Valvular Atrial Fibrillation: A Systematic Review.

Authors:  Ethan D Borre; Adam Goode; Giselle Raitz; Bimal Shah; Angela Lowenstern; Ranee Chatterjee; Lauren Sharan; Nancy M Allen LaPointe; Roshini Yapa; J Kelly Davis; Kathryn Lallinger; Robyn Schmidt; Andrzej Kosinski; Sana M Al-Khatib; Gillian D Sanders
Journal:  Thromb Haemost       Date:  2018-10-30       Impact factor: 6.681

8.  Management and 1-Year Outcomes of Patients With Newly Diagnosed Atrial Fibrillation and Chronic Kidney Disease: Results From the Prospective GARFIELD - AF Registry.

Authors:  Shinya Goto; Pantep Angchaisuksiri; Jean-Pierre Bassand; A John Camm; Helena Dominguez; Laura Illingworth; Harry Gibbs; Samuel Z Goldhaber; Shinichi Goto; Zhi-Cheng Jing; Sylvia Haas; Gloria Kayani; Yukihiro Koretsune; Toon Wei Lim; Seil Oh; Jitendra P S Sawhney; Alexander G G Turpie; Martin van Eickels; Freek W A Verheugt; Ajay K Kakkar
Journal:  J Am Heart Assoc       Date:  2019-02-05       Impact factor: 5.501

Review 9.  The Non-Vitamin K Antagonist Oral Anticoagulants in Heart Disease: Section V-Special Situations.

Authors:  Raffaele De Caterina; Walter Ageno; Giancarlo Agnelli; Noel C Chan; Hans-Christoph Diener; Elaine Hylek; Gary E Raskob; Deborah M Siegal; Freek W A Verheugt; Gregory Y H Lip; Jeffrey I Weitz
Journal:  Thromb Haemost       Date:  2018-12-31       Impact factor: 5.249

10.  Regional Differences in Antithrombotic Treatment for Atrial Fibrillation: Insights from the GLORIA-AF Phase II Registry.

Authors:  Michał Mazurek; Menno V Huisman; Kenneth J Rothman; Miney Paquette; Christine Teutsch; Hans-Christoph Diener; Sergio J Dubner; Jonathan L Halperin; Chang Sheng Ma; Kristina Zint; Amelie Elsaesser; Shihai Lu; Gregory Y H Lip
Journal:  Thromb Haemost       Date:  2017-12-06       Impact factor: 5.249

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