Obesity paradox on outcome in atrial fibrillation maintained even considering the prognostic influence of biomarkers: insights from the ARISTOTLE trial

Roopinder K Sandhu, Justin A Ezekowitz, Ziad Hijazi, Johan Westerbergh, Julia Aulin, John H Alexander, Christopher B Granger, Sigrun Halvorsen, Michael S Hanna, Renato D Lopes, Agneta Siegbahn, Lars Wallentin, Roopinder K Sandhu, Justin A Ezekowitz, Ziad Hijazi, Johan Westerbergh, Julia Aulin, John H Alexander, Christopher B Granger, Sigrun Halvorsen, Michael S Hanna, Renato D Lopes, Agneta Siegbahn, Lars Wallentin

Abstract

Objective: We investigated the association between obesity and biomarkers indicating cardiac or renal dysfunction or inflammation and their interaction with obesity and outcomes.

Methods: A total of 14 753 patients in the Apixaban for Reduction In STroke and Other ThromboemboLic Events in Atrial Fibrillation (ARISTOTLE) trial provided plasma samples at randomisation to apixaban or warfarin. Median follow-up was 1.9 years. Body Mass Index (BMI) was measured at baseline and categorised as normal, 18.5-25 kg/m2; overweight, >25 to <30 kg/m2; and obese, ≥30 kg/m2. We analysed the biomarkers high-sensitivity C reactive protein (hs-CRP), interleukin 6 (IL-6), growth differentiation factor-15 (GDF-15), troponin T and N-terminal B-type natriuretic peptide (NT-pro-BNP). Outcomes included stroke/systemic embolism (SE), myocardial infarction (MI), composite (stroke/SE, MI, or all-cause mortality), all-cause and cardiac mortality, and major bleeding.

Results: Compared with normal BMI, obese patients had significantly higher levels of hs-CRP and IL-6 and lower levels of GDF-15, troponin T and NT-pro-BNP. In multivariable analyses, higher compared with normal BMI was associated with a lower risk of all-cause mortality (overweight: HR 0.73 (95% CI 0.63 to 0.86); obese: 0.67 (0.56 to 0.80), p<0.0001), cardiac death (overweight: HR 0.74 (95% CI 0.60 to 0.93); obese: 0.71 (0.56 to 0.92), p=0.01) and composite endpoint (overweight: 0.80 (0.70 to 0.92); obese: 0.72 (0.62 to 0.84), p<0.0001).

Conclusions: Regardless of biomarkers indicating inflammation or cardiac or renal dysfunction, obesity was independently associated with an improved survival in anticoagulated patients with AF.

Trial registration number: NCT00412984.

Keywords: atrial fibrillation; biomarkers; obesity.

Conflict of interest statement

Competing interests: JAE: other research support; modest; Astra Zeneca, Amgen, Abbott, Servier, Johnson & Johnson, Pfizer, BMS. Honoraria; modest; Astra Zeneca, Amgen, Abbott, Servier, Johnson & Johnson, Pfizer, BMS. Other; modest; Astra Zeneca, Amgen, Abbott, Servier, Johnson & Johnson, Pfizer, BMS. ZH: speaker’s bureau (modest) from Bristol-Myers Squibb/Pfizer, Roche Diagnostics; consultant/advisory board (modest) from Roche Diagnostics. JW: institutional research grant (significant) from Bristol-Myers Squibb/Pfizer. JA: institutional research grant (significant) from BMS/Pfizer. JHA: research grant (significant) from Boehringer Ingelheim, Bristol-Myers Squibb, CSL Behring, FDA, NIH; research grant (modest) from CryoLife, Tenax Therapeutics, VoluMetrix; honoraria (significant) from Bristol-Myers Squibb; honoraria (modest) from CSL Behring, Janssen Pharmaceuticals, Merck, NovoNordisk Pharmaceuticals, Pfizer, VA Cooperative Studies Program, Zafgen; consultant/advisory board (significant) from Bristol-Myers Squibb, Portola Pharmaceuticals; consultant/advisory board (modest) from Abbvie, CSL Behring, Janssen Pharmaceuticals, Merck, NovoNordisk Pharmaceuticals, Pfizer, VA Cooperative Studies Program, Zafgen. CBG: research grant (significant) from Armetheon, AstraZeneca, Bayer, Boehringer Ingelheim, Bristol-Myers Squibb, Daiichi Sankyo, Duke Clinical Research Institute, FDA, GlaxoSmithKline, Janssen Pharmaceuticals, Medtronic Foundation, Novartis, Pfizer; consultant/advisory board (significant) from Boehringer Ingelheim, Bristol-Myers Squibb, Daiichi Sankyo, Medscape, Novartis, Pfizer; consultant/advisory board (modest) from Abbvie, Armetheon, AstraZeneca, Bayer, Boston Scientific, Gilead Sciences, GlaxoSmithKline, Janssen Pharmaceuticals, Medtronic, Merck, NIH, Rho Pharmaceuticals, Sirtex, Verseon. SH: honoraria (modest) from AstraZeneca, Bayer, Boehringer Ingelheim, Pfizer, Bristol-Myers Squibb, Merck, Sanofi. MSH: former employee of and has stock ownership in Bristol-Myers Squibb. RDL: research grant (significant) from Amgen, Bristol-Myers Squibb/Pfizer, GlaxoSmithKline, Medtronic PLC, Sanofi-Aventis; consultant/advisory board (significant) from Bristol-Myers Squibb/Pfizer; consultant/advisory board (modest) from Bayer, Boehringer Ingelheim. AS: institutional research grant (modest) from AstraZeneca, Boehringer Ingelheim, Bristol-Myers Squibb/Pfizer, GlaxoSmithKline, Roche Diagnostics; consultant/advisory board (modest) from Olink Proteomics. LW: institutional research grants (all significant): AstraZeneca, Boehringer Ingelheim, Bristol-Myers Squibb/Pfizer, GlaxoSmithKline, Roche Diagnostics, Merck & Co.

Figures

Figure 1
Figure 1
Multivariable-adjusted HRs and 95% CIs of outcomes according to categories of BMI adjusting for established risk factors, study treatment and cardiac, renal and inflammatory biomarkers. Multivariable models adjusted for age, sex, region, glomerular filtration rate, smoking, systolic blood pressure, heart rate, atrial fibrillation type, diabetes, heart failure, previous stroke or systemic embolism or transient ischaemic attack, hypertension, previous myocardial infarction, previous peripheral artery disease/coronary artery bypass graft/percutaneous coronary intervention, alcohol, baseline medications, prior warfarin/vitamin K antagonist treatment, randomised treatment, hs-CRP, IL-6, GDF-15, troponin T, NT-pro-BNP and cystatin C. For bleeding endpoints: haematocrit, chronic liver disease, history of anaemia, use of non-steroidal inflammatory agents and history of spontaneous or clinical relevant bleeding, randomised treatment and hs-CRP, IL-6, GDF-15, troponin T, NT-pro-BNP and cystatin C. BMI, Body Mass Index; GDF-15, growth differentiation factor-15; hs-CRP, high-sensitivity C reactive protein; IL-6, interleukin 6; MI, myocardial infarction; NT-pro-BNP, N-terminal pro-brain natriutetic peptide.
Figure 2
Figure 2
Multivariable-adjusted HRs and 95% CIs for outcomes for waist circumference. Waist circumference for men

Figure 3

Multivariable-adjusted HRs and 95% CIs…

Figure 3

Multivariable-adjusted HRs and 95% CIs for outcomes for waist circumference according to sex.…

Figure 3
Multivariable-adjusted HRs and 95% CIs for outcomes for waist circumference according to sex. Waist circumference men
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    1. Go AS, Hylek EM, Phillips KA, et al. . Prevalence of diagnosed atrial fibrillation in adults: national implications for rhythm management and stroke prevention: the AnTicoagulation and Risk Factors in Atrial fibrillation (ATRIA) study. JAMA 2001;285:2370–5. - PubMed
    1. Conen D, Chae CU, Glynn RJ, et al. . Risk of death and cardiovascular events in initially healthy women with new-onset atrial fibrillation. JAMA 2011;305:2080–7. 10.1001/jama.2011.659 - DOI - PMC - PubMed
    1. Lubitz SA, Moser C, Sullivan L, et al. . Atrial fibrillation patterns and risks of subsequent stroke, heart failure, or death in the community. J Am Heart Assoc 2013;2:e000126 10.1161/JAHA.113.000126 - DOI - PMC - PubMed
    1. Miyasaka Y, Barnes ME, Gersh BJ, et al. . Secular trends in incidence of atrial fibrillation in Olmsted County, Minnesota, 1980 to 2000, and implications on the projections for future prevalence. Circulation 2006;114:119–25. 10.1161/CIRCULATIONAHA.105.595140 - DOI - PubMed
    1. Tedrow UB, Conen D, Ridker PM, et al. . The long- and short-term impact of elevated body mass index on the risk of new atrial fibrillation the WHS (women's health study). J Am Coll Cardiol 2010;55:2319–27. 10.1016/j.jacc.2010.02.029 - DOI - PMC - PubMed
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Multivariable-adjusted HRs and 95% CIs for outcomes for waist circumference according to sex. Waist circumference men

References

    1. Go AS, Hylek EM, Phillips KA, et al. . Prevalence of diagnosed atrial fibrillation in adults: national implications for rhythm management and stroke prevention: the AnTicoagulation and Risk Factors in Atrial fibrillation (ATRIA) study. JAMA 2001;285:2370–5.
    1. Conen D, Chae CU, Glynn RJ, et al. . Risk of death and cardiovascular events in initially healthy women with new-onset atrial fibrillation. JAMA 2011;305:2080–7. 10.1001/jama.2011.659
    1. Lubitz SA, Moser C, Sullivan L, et al. . Atrial fibrillation patterns and risks of subsequent stroke, heart failure, or death in the community. J Am Heart Assoc 2013;2:e000126 10.1161/JAHA.113.000126
    1. Miyasaka Y, Barnes ME, Gersh BJ, et al. . Secular trends in incidence of atrial fibrillation in Olmsted County, Minnesota, 1980 to 2000, and implications on the projections for future prevalence. Circulation 2006;114:119–25. 10.1161/CIRCULATIONAHA.105.595140
    1. Tedrow UB, Conen D, Ridker PM, et al. . The long- and short-term impact of elevated body mass index on the risk of new atrial fibrillation the WHS (women's health study). J Am Coll Cardiol 2010;55:2319–27. 10.1016/j.jacc.2010.02.029
    1. Wang TJ, Parise H, Levy D, et al. . Obesity and the risk of new-onset atrial fibrillation. JAMA 2004;292:2471–7. 10.1001/jama.292.20.2471
    1. Wanahita N, Messerli FH, Bangalore S, et al. . Atrial fibrillation and obesity—results of a meta-analysis. Am Heart J 2008;155:310–5. 10.1016/j.ahj.2007.10.004
    1. Tsang TS, Barnes ME, Miyasaka Y, et al. . Obesity as a risk factor for the progression of paroxysmal to permanent atrial fibrillation: a longitudinal cohort study of 21 years. Eur Heart J 2008;29:2227–33. 10.1093/eurheartj/ehn324
    1. Sandhu RK, Conen D, Tedrow UB, et al. . Predisposing factors associated with development of persistent compared with paroxysmal atrial fibrillation. J Am Heart Assoc 2014;3:e000916 10.1161/JAHA.114.000916
    1. World Health Organization Obesity and overweight fact sheet 311, 2015.
    1. Sandhu RK, Ezekowitz J, Andersson U, et al. . The 'obesity paradox' in atrial fibrillation: observations from the ARISTOTLE (Apixaban for Reduction in Stroke and Other Thromboembolic Events in Atrial Fibrillation) trial. Eur Heart J 2016;37:2869–78. 10.1093/eurheartj/ehw124
    1. Ardestani A, Hoffman HJ, Cooper HA. Obesity and outcomes among patients with established atrial fibrillation. Am J Cardiol 2010;106:369–73. 10.1016/j.amjcard.2010.03.036
    1. Badheka AO, Rathod A, Kizilbash MA, et al. . Influence of obesity on outcomes in atrial fibrillation: yet another obesity paradox. Am J Med 2010;123:646–51. 10.1016/j.amjmed.2009.11.026
    1. Senoo K, Lip GY. Body mass index and adverse outcomes in elderly patients with atrial fibrillation: The AMADEUS Trial. Stroke 2016;47:523–6. 10.1161/STROKEAHA.115.011876
    1. Proietti M, Lane DA, Lip GY. Relation of nonvalvular atrial fibrillation to body mass index (from the SPORTIF Trials). Am J Cardiol 2016;118:72–8. 10.1016/j.amjcard.2016.04.013
    1. Overvad TF, Rasmussen LH, Skjøth F, et al. . Body mass index and adverse events in patients with incident atrial fibrillation. Am J Med 2013;126:e9–17. 10.1016/j.amjmed.2012.11.024
    1. Proietti M, Guiducci E, Cheli P, et al. . Is There an obesity paradox for outcomes in atrial fibrillation? A systematic review and meta-analysis of non-vitamin K antagonist oral anticoagulant trials. Stroke 2017;48:857–66. 10.1161/STROKEAHA.116.015984
    1. Hijazi Z, Wallentin L, Siegbahn A, et al. . High-sensitivity troponin T and risk stratification in patients with atrial fibrillation during treatment with apixaban or warfarin. J Am Coll Cardiol 2014;63:52–61. 10.1016/j.jacc.2013.07.093
    1. Hijazi Z, Oldgren J, Andersson U, et al. . Cardiac biomarkers are associated with an increased risk of stroke and death in patients with atrial fibrillation: a Randomized Evaluation of Long-term Anticoagulation Therapy (RE-LY) substudy. Circulation 2012;125:1605–16. 10.1161/CIRCULATIONAHA.111.038729
    1. Hijazi Z, Wallentin L, Siegbahn A, et al. . N-terminal pro-B-type natriuretic peptide for risk assessment in patients with atrial fibrillation: insights from the ARISTOTLE Trial (Apixaban for the Prevention of Stroke in Subjects With Atrial Fibrillation). J Am Coll Cardiol 2013;61:2274–84. 10.1016/j.jacc.2012.11.082
    1. Hijazi Z, Hohnloser SH, Oldgren J, et al. . Efficacy and safety of dabigatran compared with warfarin in relation to baseline renal function in patients with atrial fibrillation: a RE-LY (Randomized Evaluation of Long-term Anticoagulation Therapy) trial analysis. Circulation 2014;129:961–70. 10.1161/CIRCULATIONAHA.113.003628
    1. Hohnloser SH, Hijazi Z, Thomas L, et al. . Efficacy of apixaban when compared with warfarin in relation to renal function in patients with atrial fibrillation: insights from the ARISTOTLE trial. Eur Heart J 2012;33:2821–30. 10.1093/eurheartj/ehs274
    1. Piccini JP, Stevens SR, Chang Y, et al. . Renal dysfunction as a predictor of stroke and systemic embolism in patients with nonvalvular atrial fibrillation: validation of the R(2)CHADS(2) index in the ROCKET AF (Rivaroxaban Once-daily, oral, direct factor Xa inhibition Compared with vitamin K antagonism for prevention of stroke and Embolism Trial in Atrial Fibrillation) and ATRIA (AnTicoagulation and Risk factors In Atrial fibrillation) study cohorts. Circulation 2013;127:224–32. 10.1161/CIRCULATIONAHA.112.107128
    1. Hijazi Z, Aulin J, Andersson U, et al. . Biomarkers of inflammation and risk of cardiovascular events in anticoagulated patients with atrial fibrillation. Heart 2016;102:508–17. 10.1136/heartjnl-2015-308887
    1. Wallentin L, Hijazi Z, Andersson U, et al. . Growth differentiation factor 15, a marker of oxidative stress and inflammation, for risk assessment in patients with atrial fibrillation: insights from the Apixaban for Reduction in Stroke and Other Thromboembolic Events in Atrial Fibrillation (ARISTOTLE) trial. Circulation 2014;130:1847–58. 10.1161/CIRCULATIONAHA.114.011204
    1. Granger CB, Alexander JH, McMurray JJ, et al. . Apixaban versus warfarin in patients with atrial fibrillation. N Engl J Med 2011;365:981–92. 10.1056/NEJMoa1107039
    1. Lopes RD, Alexander JH, Al-Khatib SM, et al. . Apixaban for reduction in stroke and other ThromboemboLic events in atrial fibrillation (ARISTOTLE) trial: design and rationale. Am Heart J 2010;159:331–9. 10.1016/j.ahj.2009.07.035
    1. Bruins P, te Velthuis H, Yazdanbakhsh AP, et al. . Activation of the complement system during and after cardiopulmonary bypass surgery: postsurgery activation involves C-reactive protein and is associated with postoperative arrhythmia. Circulation 1997;96:3542–8.
    1. Chung MK, Martin DO, Sprecher D, et al. . C-Reactive protein elevation in patients with atrial arrhythmias: inflammatory mechanisms and persistence of atrial fibrillation. Circulation 2001;104:2886–91.
    1. Gedikli O, Dogan A, Altuntas I, et al. . Inflammatory markers according to types of atrial fibrillation. Int J Cardiol 2007;120:193–7. 10.1016/j.ijcard.2006.09.015
    1. Hermida J, Lopez FL, Montes R, et al. . Usefulness of high-sensitivity C-reactive protein to predict mortality in patients with atrial fibrillation (from the Atherosclerosis Risk In Communities (ARIC) Study). Am J Cardiol 2012;109:95–9. 10.1016/j.amjcard.2011.08.010
    1. Conway DS, Buggins P, Hughes E, et al. . Prognostic significance of raised plasma levels of interleukin-6 and C-reactive protein in atrial fibrillation. Am Heart J 2004;148:462–6. 10.1016/j.ahj.2004.01.026
    1. Marfella R, Esposito K, Siniscalchi M, et al. . Effect of weight loss on cardiac synchronization and proinflammatory cytokines in premenopausal obese women. Diabetes Care 2004;27:47–52. 10.2337/diacare.27.1.47
    1. Ziccardi P, Nappo F, Giugliano G, et al. . Reduction of inflammatory cytokine concentrations and improvement of endothelial functions in obese women after weight loss over one year. Circulation 2002;105:804–9. 10.1161/hc0702.104279
    1. Tran T, Yang J, Gardner J, et al. . GDF15 deficiency promotes high fat diet-induced obesity in mice. PLoS One 2018;13:e0201584 10.1371/journal.pone.0201584
    1. Yang L, Chang CC, Sun Z, et al. . GFRAL is the receptor for GDF15 and is required for the anti-obesity effects of the ligand. Nat Med 2017;23:1158–66. 10.1038/nm.4394
    1. Vila G, Riedl M, Anderwald C, et al. . The relationship between insulin resistance and the cardiovascular biomarker growth differentiation factor-15 in obese patients. Clin Chem 2011;57:309–16. 10.1373/clinchem.2010.153726
    1. Mullican SE, Rangwala SM. Uniting GDF15 and GFRAL: therapeutic opportunities in obesity and beyond. Trends Endocrinol Metab 2018;29:560–70. 10.1016/j.tem.2018.05.002
    1. Heart Outcomes Prevention Evaluation Study Investigators, Yusuf S, Sleight P, et al. . Effects of an angiotensin-converting-enzyme inhibitor, ramipril, on cardiovascular events in high-risk patients. N Engl J Med 2000;342:145–53. 10.1056/NEJM200001203420301
    1. SOLVD Investigators, Yusuf S, Pitt B, et al. . Effect of enalapril on survival in patients with reduced left ventricular ejection fractions and congestive heart failure. N Engl J Med 1991;325:293–302. 10.1056/NEJM199108013250501
    1. van Vark LC, Bertrand M, Akkerhuis KM, et al. . Angiotensin-converting enzyme inhibitors reduce mortality in hypertension: a meta-analysis of randomized clinical trials of renin–angiotensin–aldosterone system inhibitors involving 158,998 patients. Eur Heart J 2012;33:2088–97. 10.1093/eurheartj/ehs075
    1. Seidell JC. Waist circumference and waist/hip ratio in relation to all-cause mortality, cancer and sleep apnea. Eur J Clin Nutr 2010;64:35–41. 10.1038/ejcn.2009.71
    1. Yusuf S, Hawken S, Ounpuu S, et al. . Obesity and the risk of myocardial infarction in 27,000 participants from 52 countries: a case–control study. Lancet 2005;366:1640–9. 10.1016/S0140-6736(05)67663-5
    1. Freiberg MS, Pencina MJ, D'Agostino RB, et al. . BMI vs. waist circumference for identifying vascular risk. Obesity 2008;16:463–9. 10.1038/oby.2007.75
    1. Kotani K, Tokunaga K, Fujioka S, et al. . Sexual dimorphism of age-related changes in whole-body fat distribution in the obese. Int J Obes Relat Metab Disord 1994;18:207–2.
    1. Trémollieres FA, Pouilles JM, Ribot CA. Relative influence of age and menopause on total and regional body composition changes in postmenopausal women. Am J Obstet Gynecol 1996;175:1594–600. 10.1016/S0002-9378(96)70111-4
    1. Romero-Corral A, Montori VM, Somers VK, et al. . Association of bodyweight with total mortality and with cardiovascular events in coronary artery disease: a systematic review of cohort studies. Lancet 2006;368:666–78. 10.1016/S0140-6736(06)69251-9
    1. Lavie CJ, Alpert MA, Arena R, et al. . Impact of obesity and the obesity paradox on prevalence and prognosis in heart failure. JACC Heart Fail 2013;1:93–102. 10.1016/j.jchf.2013.01.006
    1. Scridon A, Dobreanu D, Chevalier P, et al. . Inflammation, a link between obesity and atrial fibrillation. Inflamm Res 2015;64:383–93. 10.1007/s00011-015-0827-8
    1. Haynes WG, Morgan DA, Walsh SA, et al. . Receptor-mediated regional sympathetic nerve activation by leptin. J Clin Invest 1997;100:270–8. 10.1172/JCI119532
    1. Franceschini R, Tenconi GL, Zoppoli F, et al. . Endocrine abnormalities and outcome of ischaemic stroke. Biomed Pharmacother 2001;55:458–65. 10.1016/S0753-3322(01)00086-5
    1. Simoons ML, Bonneux L, Obesity BL. Obesity, cardiology, and beyond. J Am Coll Cardiol 2008;52:986–7. 10.1016/j.jacc.2008.05.052

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