Skip to main content
Log in

Influence of chronic kidney disease on coronary plaque components in coronary artery disease patients with both diabetes mellitus and hypertension

  • Original Article
  • Published:
Heart and Vessels Aims and scope Submit manuscript

Abstract

Chronic kidney disease (CKD) is well known to be associated with an increased incidence of coronary artery disease (CAD). Diabetes mellitus (DM) and hypertension (HTN), both of which are traditional risk factors for CAD, are the two most common causes of CKD. However, the influence of CKD on coronary atherosclerosis in CAD patients who have both DM and HTN remains uncertain. In these patients, we examined the relationship between CKD and coronary plaque using integrated backscatter intravascular ultrasound (IB IVUS). Two hundred two CAD patients with both DM and HTN who underwent percutaneous coronary intervention using IB IVUS were included. The patients were divided into two groups: CKD group (n = 106) and non-CKD group (n = 96). Gray-scale and IB IVUS examinations were conducted for the non-culprit segment of a coronary artery. As a result, although there was no significant difference in the percentage of plaque volume, the percentage of lipid volume was significantly higher in the CKD group than in the non-CKD group [median (IQR): 56.7% (45.4–67.0%) vs. 52.0% (38.3–60.2%), p = 0.03]. In all of the patients, estimated glomerular filtration rate levels were negatively correlated with the percentage of lipid volume (r = − 0.15, p = 0.03) and positively correlated with the percentage of fibrosis volume (r = 0.15, p = 0.04). A multivariate regression analysis showed that CKD was an independent predictor associated with the increased lipid volume (β = 0.15, p = 0.047) and decreased fibrosis volume (β = − 0.16, p = 0.03) in coronary plaques. In conclusion, among CAD patients who had both DM and HTN, CKD was associated with lipid-rich coronary plaques. CKD may contribute to the vulnerability of coronary plaque in these very high-risk patients.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Hu JR, Coresh J (2017) The public health dimension of chronic kidney disease: what we have learnt over the past decade. Nephrol Dial Transplant 32:ii113–ii120

    Article  CAS  PubMed  Google Scholar 

  2. Drawz P, Rahman M (2015) Chronic kidney disease. Ann Intern Med 162:Itc1–Itc16

    Article  PubMed  Google Scholar 

  3. Jha V, Garcia-Garcia G, Iseki K, Li Z, Naicker S, Plattner B, Saran R, Wang AY, Yang CW (2013) Chronic kidney disease: global dimension and perspectives. Lancet 382:260–272

    Article  PubMed  Google Scholar 

  4. Go AS, Chertow GM, Fan D, McCulloch CE, Hsu CY (2004) Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med 351:1296–1305

    Article  CAS  PubMed  Google Scholar 

  5. Afkarian M, Sachs MC, Kestenbaum B, Hirsch IB, Tuttle KR, Himmelfarb J, de Boer IH (2013) Kidney disease and increased mortality risk in type 2 diabetes. J Am Soc Nephrol 24:302–308

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Rahman M, Pressel S, Davis BR, Nwachuku C, Wright JT Jr, Whelton PK, Barzilay J, Batuman V, Eckfeldt JH, Farber MA, Franklin S, Henriquez M, Kopyt N, Louis GT, Saklayen M, Stanford C, Walworth C, Ward H, Wiegmann T (2006) Cardiovascular outcomes in high-risk hypertensive patients stratified by baseline glomerular filtration rate. Ann Intern Med 144:172–180

    Article  PubMed  Google Scholar 

  7. Mintz GS, Nissen SE, Anderson WD, Bailey SR, Erbel R, Fitzgerald PJ, Pinto FJ, Rosenfield K, Siegel RJ, Tuzcu EM, Yock PG (2001) American College of Cardiology Clinical Expert Consensus Document on Standards for Acquisition, Measurement and Reporting of Intravascular Ultrasound Studies (IVUS). A report of the American College of Cardiology Task Force on Clinical Expert Consensus Documents. J Am Coll Cardiol 37:1478–1492

    Article  CAS  PubMed  Google Scholar 

  8. Kawasaki M, Takatsu H, Noda T, Sano K, Ito Y, Hayakawa K, Tsuchiya K, Arai M, Nishigaki K, Takemura G, Minatoguchi S, Fujiwara T, Fujiwara H (2002) In vivo quantitative tissue characterization of human coronary arterial plaques by use of integrated backscatter intravascular ultrasound and comparison with angioscopic findings. Circulation 105:2487–2492

    Article  PubMed  Google Scholar 

  9. Sano K, Kawasaki M, Ishihara Y, Okubo M, Tsuchiya K, Nishigaki K, Zhou X, Minatoguchi S, Fujita H, Fujiwara H (2006) Assessment of vulnerable plaques causing acute coronary syndrome using integrated backscatter intravascular ultrasound. J Am Coll Cardiol 47:734–741

    Article  PubMed  Google Scholar 

  10. Amano T, Matsubara T, Uetani T, Kato M, Kato B, Yoshida T, Harada K, Kumagai S, Kunimura A, Shinbo Y, Ishii H, Murohara T (2011) Lipid-rich plaques predict non-target-lesion ischemic events in patients undergoing percutaneous coronary intervention. Circ J 75:157–166

    Article  PubMed  Google Scholar 

  11. Hayano S, Ichimiya S, Ishii H, Kanashiro M, Watanabe J, Kurebayashi N, Yoshikawa D, Amano T, Matsubara T, Murohara T (2012) Relation between estimated glomerular filtration rate and composition of coronary arterial atherosclerotic plaques. Am J Cardiol 109:1131–1136

    Article  PubMed  Google Scholar 

  12. Ogita M, Funayama H, Nakamura T, Sakakura K, Sugawara Y, Kubo N, Ako J, Ishikawa SE, Momomura S (2009) Plaque characterization of non-culprit lesions by virtual histology intravascular ultrasound in diabetic patients: impact of renal function. J Cardiol 54:59–65

    Article  PubMed  Google Scholar 

  13. Seino Y, Nanjo K, Tajima N, Kadowaki T, Kashiwagi A, Araki E, Ito C, Inagaki N, Iwamoto Y, Kasuga M, Hanafusa T, Haneda M, Ueki K (2010) Report of the committee on the classification and diagnostic criteria of diabetes mellitus. J Diabetes Investig 1:212–228

    Article  PubMed  PubMed Central  Google Scholar 

  14. Oparil S (2014) Updated guidelines for management of high blood pressure in Japan. Hypertens Res 37:484–487

    Article  PubMed  Google Scholar 

  15. Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D (1999) A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of diet in Renal Disease Study Group. Ann Intern Med 130:461–470

    Article  CAS  PubMed  Google Scholar 

  16. JCS Joint Working Group (2013) Guidelines for secondary prevention of myocardial infarction (JCS 2011). Circ J 77:231–248

    Article  Google Scholar 

  17. Maejima N, Hibi K, Saka K, Nakayama N, Matsuzawa Y, Endo M, Iwahashi N, Okuda J, Tsukahara K, Tahara Y, Kosuge M, Ebina T, Umemura S, Kimura K (2015) Morphological features of non-culprit plaques on optical coherence tomography and integrated backscatter intravascular ultrasound in patients with acute coronary syndromes. Eur Heart J Cardiovasc Imaging 16:190–197

    Article  PubMed  Google Scholar 

  18. Mitsuhashi T, Hibi K, Kosuge M, Morita S, Komura N, Kusama I, Otsuka F, Endo M, Iwahashi N, Okuda J, Tsukahara K, Ebina T, Umemura S, Kimura K (2011) Relation between hyperinsulinemia and nonculprit plaque characteristics in nondiabetic patients with acute coronary syndromes. JACC Cardiovasc Imaging 4:392–401

    Article  PubMed  Google Scholar 

  19. Nakayama N, Hibi K, Endo M, Miyazawa A, Suzuki H, Maejima N, Isshiki T, Kozuma K, Kimura K (2013) Validity and reliability of new intravascular ultrasound analysis software for morphological measurement of coronary artery disease. Circ J 77:424–431

    Article  PubMed  Google Scholar 

  20. Lang RM, Bierig M, Devereux RB, Flachskampf FA, Foster E, Pellikka PA, Picard MH, Roman MJ, Seward J, Shanewise JS, Solomon SD, Spencer KT, Sutton MS, Stewart WJ (2005) Recommendations for chamber quantification: a report from the American Society of Echocardiography's Guidelines and Standards Committee and the Chamber Quantification Writing Group, developed in conjunction with the European Association of Echocardiography, a branch of the European Society of Cardiology. J Am Soc Echocardiogr 18:1440–1463

    Article  PubMed  Google Scholar 

  21. Nakayama M, Sato T, Miyazaki M, Matsushima M, Sato H, Taguma Y, Ito S (2011) Increased risk of cardiovascular events and mortality among non-diabetic chronic kidney disease patients with hypertensive nephropathy: the Gonryo study. Hypertens Res 34:1106–1110

    Article  PubMed  Google Scholar 

  22. Dzau VJ, Antman EM, Black HR, Hayes DL, Manson JE, Plutzky J, Popma JJ, Stevenson W (2006) The cardiovascular disease continuum validated: clinical evidence of improved patient outcomes: part I: Pathophysiology and clinical trial evidence (risk factors through stable coronary artery disease). Circulation 114:2850–2870

    Article  PubMed  Google Scholar 

  23. De Vriese AS, Verbeuren TJ, Van de Voorde J, Lameire NH, Vanhoutte PM (2000) Endothelial dysfunction in diabetes. Br J Pharmacol 130:963–974

    Article  PubMed  PubMed Central  Google Scholar 

  24. Dinh QN, Drummond GR, Sobey CG, Chrissobolis S (2014) Roles of inflammation, oxidative stress, and vascular dysfunction in hypertension. Biomed Res Int 2014:406960

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Haugen E, Nath KA (1999) The involvement of oxidative stress in the progression of renal injury. Blood Purif 17:58–65

    Article  CAS  PubMed  Google Scholar 

  26. Moody WE, Edwards NC, Madhani M, Chue CD, Steeds RP, Ferro CJ, Townend JN (2012) Endothelial dysfunction and cardiovascular disease in early-stage chronic kidney disease: cause or association? Atherosclerosis 223:86–94

    Article  CAS  PubMed  Google Scholar 

  27. Hirata Y, Sugiyama S, Yamamoto E, Matsuzawa Y, Akiyama E, Kusaka H, Fujisue K, Kurokawa H, Matsubara J, Sugamura K, Maeda H, Iwashita S, Jinnouchi H, Matsui K, Ogawa H (2014) Endothelial function and cardiovascular events in chronic kidney disease. Int J Cardiol 173:481–486

    Article  PubMed  Google Scholar 

  28. Locatelli F, Canaud B, Eckardt KU, Stenvinkel P, Wanner C, Zoccali C (2003) Oxidative stress in end-stage renal disease: an emerging threat to patient outcome. Nephrol Dial Transplant 18:1272–1280

    Article  CAS  PubMed  Google Scholar 

  29. Vaziri ND (2014) Role of dyslipidemia in impairment of energy metabolism, oxidative stress, inflammation and cardiovascular disease in chronic kidney disease. Clin Exp Nephrol 18:265–268

    Article  CAS  PubMed  Google Scholar 

  30. Bulbul MC, Dagel T, Afsar B, Ulusu NN, Kuwabara M, Covic A, Kanbay M (2018) Disorders of lipid metabolism in chronic kidney disease. Blood Purif 46:144–152

    Article  CAS  PubMed  Google Scholar 

  31. Fujioka Y, Ishikawa Y (2009) Remnant lipoproteins as strong key particles to atherogenesis. J Atheroscler Thromb 16:145–154

    Article  CAS  PubMed  Google Scholar 

  32. Vaziri ND (2006) Dyslipidemia of chronic renal failure: the nature, mechanisms, and potential consequences. Am J Physiol Renal Physiol 290:F262–F272

    Article  CAS  PubMed  Google Scholar 

  33. Cho Y, Lee SG, Jee SH, Kim JH (2015) Hypertriglyceridemia is a major factor associated with elevated levels of small dense LDL cholesterol in patients with metabolic syndrome. Ann Lab Med 35:586–594

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Rohatgi A, Khera A, Berry JD, Givens EG, Ayers CR, Wedin KE, Neeland IJ, Yuhanna IS, Rader DR, de Lemos JA, Shaul PW (2014) HDL cholesterol efflux capacity and incident cardiovascular events. N Engl J Med 371:2383–2393

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Patel PJ, Khera AV, Jafri K, Wilensky RL, Rader DJ (2011) The anti-oxidative capacity of high-density lipoprotein is reduced in acute coronary syndrome but not in stable coronary artery disease. J Am Coll Cardiol 58:2068–2075

    Article  CAS  PubMed  Google Scholar 

  36. Nakano T, Ninomiya T, Sumiyoshi S, Fujii H, Doi Y, Hirakata H, Tsuruya K, Iida M, Kiyohara Y, Sueishi K (2010) Association of kidney function with coronary atherosclerosis and calcification in autopsy samples from Japanese elders: the Hisayama study. Am J Kidney Dis 55:21–30

    Article  PubMed  Google Scholar 

  37. Kashiyama K, Sonoda S, Muraoka Y, Suzuki Y, Kamezaki F, Tsuda Y, Araki M, Tamura M, Takeuchi M, Abe H, Okazaki M, Fujino Y, Otsuji Y (2015) Coronary plaque progression of non-culprit lesions after culprit percutaneous coronary intervention in patients with moderate to advanced chronic kidney disease: intravascular ultrasound and integrated backscatter intravascular ultrasound study. Int J Cardiovasc Imaging 31:935–945

    Article  PubMed  PubMed Central  Google Scholar 

  38. Miyagi M, Ishii H, Murakami R, Isobe S, Hayashi M, Amano T, Arai K, Yoshikawa D, Ohashi T, Uetani T, Yasuda Y, Matsuo S, Matsubara T, Murohara T (2010) Impact of renal function on coronary plaque composition. Nephrol Dial Transplant 25:175–181

    Article  PubMed  Google Scholar 

  39. Kakuta K, Dohi K, Miyoshi M, Yamanaka T, Kawamura M, Masuda J, Kurita T, Ogura T, Yamada N, Sumida Y, Ito M (2017) Impact of renal function on the underlying pathophysiology of coronary plaque composition in patients with type 2 diabetes mellitus. Cardiovasc Diabetol 16:131

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. McCullough PA, Jurkovitz CT, Pergola PE, McGill JB, Brown WW, Collins AJ, Chen SC, Li S, Singh A, Norris KC, Klag MJ, Bakris GL (2007) Independent components of chronic kidney disease as a cardiovascular risk state: results from the Kidney Early Evaluation Program (KEEP). Arch Intern Med 167:1122–1129

    Article  CAS  PubMed  Google Scholar 

  41. van der Zee S, Baber U, Elmariah S, Winston J, Fuster V (2009) Cardiovascular risk factors in patients with chronic kidney disease. Nat Rev Cardiol 6:580–589

    Article  PubMed  Google Scholar 

  42. Kahn MR, Robbins MJ, Kim MC, Fuster V (2013) Management of cardiovascular disease in patients with kidney disease. Nat Rev Cardiol 10:261–273

    Article  CAS  PubMed  Google Scholar 

  43. Matsushita K, van der Velde M, Astor BC, Woodward M, Levey AS, de Jong PE, Coresh J, Gansevoort RT (2010) Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis. Lancet 375:2073–2081

    Article  PubMed  PubMed Central  Google Scholar 

  44. Li MF, Tu YF, Li LX, Lu JX, Dong XH, Yu LB, Zhang R, Bao YQ, Jia WP, Hu RM (2013) Low-grade albuminuria is associated with early but not late carotid atherosclerotic lesions in community-based patients with type 2 diabetes. Cardiovasc Diabetol 12:110

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Shimbo Y, Suzuki S, Ishii H, Shibata Y, Tatami Y, Harata S, Osugi N, Ota T, Tanaka A, Shibata K, Mizukoshi T, Yasuda Y, Maruyama S, Murohara T (2015) Association of estimated glomerular filtration rate and proteinuria with lipid-rich plaque in coronary artery disease. Circ J 79:2263–2270

    Article  PubMed  Google Scholar 

  46. Okada K, Hibi K, Gohbara M, Kataoka S, Takano K, Akiyama E, Matsuzawa Y, Saka K, Maejima N, Endo M, Iwahashi N, Tsukahara K, Kosuge M, Ebina T, Fitzgerald PJ, Honda Y, Umemura S, Kimura K (2015) Association between blood glucose variability and coronary plaque instability in patients with acute coronary syndromes. Cardiovasc Diabetol 14:111

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Kuroda M, Shinke T, Sakaguchi K, Otake H, Takaya T, Hirota Y, Sugiyama D, Nakagawa M, Hariki H, Inoue T, Osue T, Taniguchi Y, Iwasaki M, Nishio R, Kinutani H, Konishi A, Hiranuma N, Takahashi H, Terashita D, Hirata KI (2015) Effect of daily glucose fluctuation on coronary plaque vulnerability in patients pre-treated with lipid-lowering therapy: a prospective observational study. JACC Cardiovasc Interv 8:800–811

    Article  PubMed  Google Scholar 

  48. Kume T, Akasaka T, Kawamoto T, Okura H, Watanabe N, Toyota E, Neishi Y, Sukmawan R, Sadahira Y, Yoshida K (2006) Measurement of the thickness of the fibrous cap by optical coherence tomography. Am Heart J 152:755.e751–755.e754

    Article  Google Scholar 

  49. Jang IK, Tearney GJ, MacNeill B, Takano M, Moselewski F, Iftima N, Shishkov M, Houser S, Aretz HT, Halpern EF, Bouma BE (2005) In vivo characterization of coronary atherosclerotic plaque by use of optical coherence tomography. Circulation 111:1551–1555

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Atsushi Iwata.

Ethics declarations

Conflict of interest

KS and SM are Directors of NPO Clinical and Applied Science, Fukuoka, Japan. KS and SM received a Grant from the Public Interest Incorporated Foundation of “Clinical Research Promotion Foundation” in Fukuoka, Japan, and part of this work was transferred to NPO Clinical and Applied Science, Fukuoka, Japan. KS has an Endowed Department of Molecular Cardiovascular Therapeutics (SM), Fukuoka University, supported by MSD Co., Ltd.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shigemoto, E., Iwata, A., Futami, M. et al. Influence of chronic kidney disease on coronary plaque components in coronary artery disease patients with both diabetes mellitus and hypertension. Heart Vessels 34, 1065–1075 (2019). https://doi.org/10.1007/s00380-018-01334-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00380-018-01334-5

Keywords

Navigation