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Assessment of cardiovascular risk profile based on measurement of tophus volume in patients with gout

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Abstract

Hyperuricemia and gout are associated with increased risk of cardiovascular disease and metabolic syndrome. The aim of this study was to evaluate the correlation of total tophus volumes, measured using dual-energy computed tomography, with cardiovascular risk and the presence of metabolic syndrome. Dual-energy computed tomography datasets from 91 patients with a diagnosis of gout were analyzed retrospectively. Patients who received urate lowering therapy were excluded to avoid the effect on tophus volume. The total volumes of tophaceous deposition were quantified using automated volume assessment software. The 10-year cardiovascular risk using the Framingham Risk Score and metabolic syndrome based on the Third Adult Treatment Panel criteria were estimated. Fifty-five and 36 patients with positive and negative dual-energy computed tomography results, respectively, were assessed. Patients with positive dual-energy computed tomography results showed significantly higher systolic blood pressure, diastolic blood pressure, fasting glucose, and higher prevalence of chronic kidney disease, compared with those with negative dual-energy computed tomography results. The total tophus volumes were significantly correlated with the Framingham Risk Score, and the number of metabolic syndrome components (r = 0.22 and p = 0.036 and r = 0.373 and p < 0.001, respectively). The total tophus volume was one of the independent prognostic factors for the Framingham Risk Score in a multivariate analysis. This study showed the correlation of total tophus volumes with cardiovascular risk and metabolic syndrome-related comorbidities. A high urate burden could affect unfavorable cardiovascular profiles.

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References

  1. Martillo MA, Nazzal L, Crittenden DB (2014) The crystallization of monosodium urate. Curr Rheumatol Rep 16(2):400. https://doi.org/10.1007/s11926-013-0400-9

    Article  PubMed  PubMed Central  Google Scholar 

  2. Kuwabara M, Niwa K, Nishihara S, Nishi Y, Takahashi O, Kario K, Yamamoto K, Yamashita T, Hisatome I (2017) Hyperuricemia is an independent competing risk factor for atrial fibrillation. Int J Cardiol 231:137–142. https://doi.org/10.1016/j.ijcard.2016.11.268

    Article  PubMed  Google Scholar 

  3. Mitsuhashi H, Yatsuya H, Matsushita K, Zhang H, Otsuka R, Muramatsu T, Takefuji S, Hotta Y, Kondo T, Murohara T, Toyoshima H, Tamakoshi K (2009) Uric acid and left ventricular hypertrophy in Japanese men. Circ J 73(4):667–672. https://doi.org/10.1253/circj.CJ-08-0626

    Article  CAS  PubMed  Google Scholar 

  4. Mason JC, Libby P (2015) Cardiovascular disease in patients with chronic inflammation: mechanisms underlying premature cardiovascular events in rheumatologic conditions. European Heart J 36(8):482–489. https://doi.org/10.1093/eurheartj/ehu403

    Article  Google Scholar 

  5. Janssens HJ, Arts PG, Schalk BW, Biermans MC (2017) Gout and rheumatoid arthritis, both to keep in mind in cardiovascular risk management: a primary care retrospective cohort study. Joint, Bone, Spine: Revue du Rhumatisme 84(1):59–64. https://doi.org/10.1016/j.jbspin.2015.12.003

    Article  Google Scholar 

  6. Peters MJ, Symmons DP, McCarey D, Dijkmans BA, Nicola P, Kvien TK et al (2010) EULAR evidence-based recommendations for cardiovascular risk management in patients with rheumatoid arthritis and other forms of inflammatory arthritis. Ann Rheum Dis 69(2):325–331. https://doi.org/10.1136/ard.2009.113696

    Article  CAS  PubMed  Google Scholar 

  7. Omoumi P, Verdun FR, Guggenberger R, Andreisek G, Becce F (2015) Dual-energy CT: basic principles, technical approaches, and applications in musculoskeletal imaging (part 2). Semin Musculoskelet Radiol 19(5):438–445. https://doi.org/10.1055/s-0035-1569252

    Article  PubMed  Google Scholar 

  8. Schumacher HR, Taylor W, Edwards L, Grainger R, Schlesinger N, Dalbeth N et al (2009) Outcome domains for studies of acute and chronic gout. J Rheumatol 36(10):2342–2345. https://doi.org/10.3899/jrheum.090370

    Article  PubMed  Google Scholar 

  9. Modjinou DV, Krasnokutsky S, Gyftopoulos S, Pike VC, Karis E, Keenan RT, Lee K, Crittenden DB, Samuels J, Pillinger MH (2017) Comparison of dual-energy CT, ultrasound and surface measurement for assessing tophus dissolution during rapid urate debulking. Clin Rheumatol 36(9):2101–2107. https://doi.org/10.1007/s10067-017-3729-z

    Article  PubMed  Google Scholar 

  10. Araujo EG, Bayat S, Petsch C, Englbrecht M, Faustini F, Kleyer A et al (2015) Tophus resolution with pegloticase: a prospective dual-energy CT study. RMD open 1:e000075

    Article  PubMed  PubMed Central  Google Scholar 

  11. Wilson PW, D’Agostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB (1998) Prediction of coronary heart disease using risk factor categories. Circulation 97(18):1837–1847. https://doi.org/10.1161/01.CIR.97.18.1837

    Article  CAS  PubMed  Google Scholar 

  12. D’Agostino RB Sr, Vasan RS, Pencina MJ, Wolf PA, Cobain M, Massaro JM et al (2008) General cardiovascular risk profile for use in primary care: the Framingham Heart Study. Circulation 117(6):743–753. https://doi.org/10.1161/CIRCULATIONAHA.107.699579

    Article  PubMed  Google Scholar 

  13. Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, Gordon DJ, Krauss RM, Savage PJ, Smith SC Jr, Spertus JA, Costa F, American Heart Association, National Heart, Lung, and Blood Institute (2005) Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation 112(17):2735–2752. https://doi.org/10.1161/CIRCULATIONAHA.105.169404

    Article  PubMed  Google Scholar 

  14. Rho YH, Choi SJ, Lee YH, Ji JD, Choi KM, Baik SH, Chung S, Kim CG, Choe JY, Lee SW, Chung WT, Song GG (2005) The prevalence of metabolic syndrome in patients with gout: a multicenter study. J Korean Med Sci 20(6):1029–1033. https://doi.org/10.3346/jkms.2005.20.6.1029

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Neogi T, Jansen TL, Dalbeth N, Fransen J, Schumacher HR, Berendsen D et al. 2015 gout classification criteria: an American College of Rheumatology/European League Against Rheumatism collaborative initiative. Arthritis & rheumatology (Hoboken, NJ) 2015;67 10: 2557-68

  16. Panel TRotNCEPNE. Detection evaluation and treatment of high blood cholesterol in adults (Adult Treatment Panel III). National Cholesterol Education Program National Heart, Lung, and Blood Institute National Institutes of Health

  17. Thomas C, Patschan O, Ketelsen D, Tsiflikas I, Reimann A, Brodoefel H, Buchgeister M, Nagele U, Stenzl A, Claussen C, Kopp A, Heuschmid M, Schlemmer HP (2009) Dual-energy CT for the characterization of urinary calculi: in vitro and in vivo evaluation of a low-dose scanning protocol. Eur Radiol 19(6):1553–1559. https://doi.org/10.1007/s00330-009-1300-2

    Article  CAS  PubMed  Google Scholar 

  18. Baer AN, Kurano T, Thakur UJ, Thawait GK, Fuld MK, Maynard JW, McAdams-DeMarco M, Fishman EK, Carrino JA (2016) Dual-energy computed tomography has limited sensitivity for non-tophaceous gout: a comparison study with tophaceous gout. BMC Musculoskelet Disord 17(1):91. https://doi.org/10.1186/s12891-016-0943-9

    Article  PubMed  PubMed Central  Google Scholar 

  19. Full LE, Ruisanchez C, Monaco C (2009) The inextricable link between atherosclerosis and prototypical inflammatory diseases rheumatoid arthritis and systemic lupus erythematosus. Arthritis Res Ther 11(2):217. https://doi.org/10.1186/ar2631

  20. Kienhorst LB, van Lochem E, Kievit W, Dalbeth N, Merriman ME, Phipps-Green A et al (2015) Gout is a chronic inflammatory disease in which high levels of interleukin-8 (CXCL8), myeloid-related protein 8/myeloid-related protein 14 complex, and an altered proteome are associated with diabetes mellitus and cardiovascular disease. Arthritis Rheumatol 67(12):3303–3313. https://doi.org/10.1002/art.39318

    Article  CAS  PubMed  Google Scholar 

  21. Martinon F, Petrilli V, Mayor A, Tardivel A, Tschopp J (2006) Gout-associated uric acid crystals activate the NALP3 inflammasome. Nature 440(7081):237–241. https://doi.org/10.1038/nature04516

    Article  CAS  PubMed  Google Scholar 

  22. Snow MH, Mikuls TR (2005) Rheumatoid arthritis and cardiovascular disease: the role of systemic inflammation and evolving strategies of prevention. Curr Opin Rheumatol 17(3):234–241

    PubMed  Google Scholar 

  23. Gersch C, Palii SP, Kim KM, Angerhofer A, Johnson RJ, Henderson GN (2008) Inactivation of nitric oxide by uric acid. Nucleosides Nucleotides Nucleic Acids 27(8):967–978. https://doi.org/10.1080/15257770802257952

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Gersch C, Palii SP, Imaram W, Kim KM, Karumanchi SA, Angerhofer A, Johnson RJ, Henderson GN (2009) Reactions of peroxynitrite with uric acid: formation of reactive intermediates, alkylated products and triuret, and in vivo production of triuret under conditions of oxidative stress. Nucleosides Nucleotides Nucleic Acids 28(2):118–149. https://doi.org/10.1080/15257770902736400

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Khosla UM, Zharikov S, Finch JL, Nakagawa T, Roncal C, Mu W, Krotova K, Block ER, Prabhakar S, Johnson RJ (2005) Hyperuricemia induces endothelial dysfunction. Kidney Int 67(5):1739–1742. https://doi.org/10.1111/j.1523-1755.2005.00273.x

    Article  PubMed  Google Scholar 

  26. Gaffo AL, Jacobs DR Jr, Sijtsma F, Lewis CE, Mikuls TR, Saag KG (2013) Serum urate association with hypertension in young adults: analysis from the Coronary Artery Risk Development in Young Adults cohort. Ann Rheum Dis 72(8):1321–1327. https://doi.org/10.1136/annrheumdis-2012-201916

    Article  PubMed  Google Scholar 

  27. Sattui SE, Singh JA, Gaffo AL (2014) Comorbidities in patients with crystal diseases and hyperuricemia. Rheum Dis Clin N Am 40(2):251–278. https://doi.org/10.1016/j.rdc.2014.01.005

    Article  Google Scholar 

  28. Mankovsky B, Kurashvili R, Sadikot S (2010) Is serum uric acid a risk factor for atherosclerotic cardiovascular disease?: a review of the clinical evidence. Part 1. Diabetes Metabolic Syndrome: Clinical Res Rev 4(3):176–84–176184. https://doi.org/10.1016/j.dsx.2010.07.010

    Article  Google Scholar 

  29. Feig DI (2012) The role of uric acid in the pathogenesis of hypertension in the young. Journal Clinical Hypertension 14(6):346–352. https://doi.org/10.1111/j.1751-7176.2012.00662.x

    Article  CAS  Google Scholar 

  30. Pascart T, Grandjean A, Norberciak L, Ducoulombier V, Motte M, Luraschi H, Vandecandelaere M, Godart C, Houvenagel E, Namane N, Budzik JF (2017) Ultrasonography and dual-energy computed tomography provide different quantification of urate burden in gout: results from a cross-sectional study. Arthritis Res Ther 19(1):171. https://doi.org/10.1186/s13075-017-1381-2

    Article  PubMed  PubMed Central  Google Scholar 

  31. Wilson PW, D’Agostino RB, Parise H, Sullivan L, Meigs JB (2005) Metabolic syndrome as a precursor of cardiovascular disease and type 2 diabetes mellitus. Circulation 112(20):3066–3072. https://doi.org/10.1161/CIRCULATIONAHA.105.539528

    Article  CAS  PubMed  Google Scholar 

  32. Gonzalez-Senac NM, Bailen R, Torres RJ, de Miguel E, Puig JG (2014) Metabolic syndrome in primary gout. Nucleosides Nucleotides Nucleic Acids 33(4–6):185–191. https://doi.org/10.1080/15257770.2013.853785

    Article  CAS  PubMed  Google Scholar 

  33. Zhu Y, Zhang Y, Choi HK (2010) The serum urate-lowering impact of weight loss among men with a high cardiovascular risk profile: the Multiple Risk Factor Intervention Trial. Rheumatology 49(12):2391–2399. https://doi.org/10.1093/rheumatology/keq256

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Choi HK, Atkinson K, Karlson EW, Curhan G (2005) Obesity, weight change, hypertension, diuretic use, and risk of gout in men: the health professionals follow-up study. Arch Intern Med 165(7):742–748. https://doi.org/10.1001/archinte.165.7.742

    Article  PubMed  Google Scholar 

  35. Kanbay M, Jensen T, Solak Y, Le M, Roncal-Jimenez C, Rivard C, Lanaspa MA, Nakagawa T, Johnson RJ (2016) Uric acid in metabolic syndrome: from an innocent bystander to a central player. European J Internal Medicine 29:3–8. https://doi.org/10.1016/j.ejim.2015.11.026

    Article  CAS  Google Scholar 

  36. Feig DI, Kang D-H, Johnson RJ (2008) Uric acid and cardiovascular risk. N Engl J Med 359(17):1811–1821. https://doi.org/10.1056/NEJMra0800885

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Johnson RJ, Kang D-H, Feig D, Kivlighn S, Kanellis J, Watanabe S, Tuttle KR, Rodriguez-Iturbe B, Herrera-Acosta J, Mazzali M (2003) Is there a pathogenetic role for uric acid in hypertension and cardiovascular and renal disease? Hypertension 41(6):1183–1190. https://doi.org/10.1161/01.HYP.0000069700.62727.C5

    Article  CAS  PubMed  Google Scholar 

  38. Goicoechea M, de Vinuesa SG, Verdalles U, Ruiz-Caro C, Ampuero J, Rincón A et al (2010) Effect of allopurinol in chronic kidney disease progression and cardiovascular risk. Clin J Am Soc Nephrol 5(8):1388–1393. https://doi.org/10.2215/CJN.01580210

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Yu S, Yang H, Guo X, Zheng L, Sun Y (2015) Hyperuricemia is independently associated with left ventricular hypertrophy in post-menopausal women but not in pre-menopausal women in rural Northeast China. Gynecol Endocrinol 31(9):736–741. https://doi.org/10.3109/09513590.2015.1056730

    Article  CAS  PubMed  Google Scholar 

  40. Lin JC, Lin CL, Chen MC, Chang PJ, Chang ST, Chung CM, et al (2015) Gout, not hyperuricemia alone, impairs left ventricular diastolic function. Arthritis Res Ther 17:323. https://doi.org/10.1186/s13075-015-0842-8

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Funding

This research was supported by the Basic Science Research Programs through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science, and Technology (NRF-2017R1A2B4006015).

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Correspondence to Sang-Heon Lee.

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This study was conducted in compliance with the Helsinki Declaration to protect human subjects and was approved by the Institutional Review Board for Human Research, Konkuk University Medical Center (KUH Number 1010845).

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Lee, KA., Ryu, SR., Park, SJ. et al. Assessment of cardiovascular risk profile based on measurement of tophus volume in patients with gout. Clin Rheumatol 37, 1351–1358 (2018). https://doi.org/10.1007/s10067-017-3963-4

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