title: Nonculprit coronary plaque characteristics of chronic kidney disease.
abstract: BACKGROUND
  Chronic kidney disease (CKD) promotes the development of atherosclerosis and increases the risk of cardiovascular disease. The aim of the present study was to compare the coronary plaque characteristics of patients with and without CKD using optical coherence tomography.
  
  
  RESULTS
  We identified 463 nonculprit plaques from 287 patients from the Massachusetts General Hospital (MGH) optical coherence tomography registry. CKD was defined as estimated glomerular filtration rate <60 mL/min per 1.73 m(2). A total of 402 plaques (250 patients) were in the non-CKD group and 61 plaques (37 patients) were in the CKD group. Compared with non-CKD plaques, plaques with CKD had a larger lipid index (mean lipid arc×lipid length, 1248.4±782.8 mm° [non-CKD] versus 1716.1±1116.2 mm° [CKD]; P=0.003). Fibrous cap thickness was not significantly different between the groups. Calcification (34.8% [non-CKD] versus 50.8% [CKD]; P=0.041), cholesterol crystals (11.2% [non-CKD] versus 23.0% [CKD]; P=0.048), and plaque disruption (5.5% [non-CKD] versus 13.1% [CKD]; P=0.049) were more frequently observed in the CKD group. In the multivariate linear regression model, a lower estimated glomerular filtration rate and diabetes mellitus were independent risk factors for a larger lipid index.
  
  
  CONCLUSIONS
  Compared with non-CKD patients, the patients with CKD had a larger lipid index with a higher prevalence of calcium, cholesterol crystals, and plaque disruption. The multivariate linear regression model demonstrated that a lower estimated glomerular filtration rate was an independent risk factor for a larger lipid index.
authors.affiliation: Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
authors.forename: Koji
authors.initials: K
authors.lastname: Kato
authors.forename: Taishi
authors.initials: T
authors.lastname: Yonetsu
authors.forename: Haibo
authors.initials: H
authors.lastname: Jia
authors.forename: Farhad
authors.initials: F
authors.lastname: Abtahian
authors.forename: Rocco
authors.initials: R
authors.lastname: Vergallo
authors.forename: Sining
authors.initials: S
authors.lastname: Hu
authors.forename: Jinwei
authors.initials: J
authors.lastname: Tian
authors.forename: Soo-Joong
authors.initials: SJ
authors.lastname: Kim
authors.forename: Hang
authors.initials: H
authors.lastname: Lee
authors.forename: Iris
authors.initials: I
authors.lastname: McNulty
authors.forename: Stephen
authors.initials: S
authors.lastname: Lee
authors.forename: Shiro
authors.initials: S
authors.lastname: Uemura
authors.forename: Yangsoo
authors.initials: Y
authors.lastname: Jang
authors.forename: Seung-Jung
authors.initials: SJ
authors.lastname: Park
authors.forename: Kyoichi
authors.initials: K
authors.lastname: Mizuno
authors.forename: Bo
authors.initials: B
authors.lastname: Yu
authors.forename: Ik-Kyung
authors.initials: IK
authors.lastname: Jang
mesh_terms: D000368:Aged; D016009:Chi-Square Distribution; D003324:Coronary Artery Disease / Q000175:diagnosis* / Q000209:etiology / Q000473:pathology; D003331:Coronary Vessels / Q000737:chemistry / Q000473:pathology*; D005260:Female; D005355:Fibrosis; D005919:Glomerular Filtration Rate; D006801:Humans; D007668:Kidney / Q000503:physiopathology; D016014:Linear Models; D008055:Lipids / Q000032:analysis; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D058226:Plaque, Atherosclerotic; D011237:Predictive Value of Tests; D011379:Prognosis; D012042:Registries; D051436:Renal Insufficiency, Chronic / Q000150:complications* / Q000175:diagnosis / Q000503:physiopathology; D018570:Risk Assessment; D012307:Risk Factors; D013997:Time Factors; D041623:Tomography, Optical Coherence; D061205:Vascular Calcification / Q000175:diagnosis
chemical_list: D008055:Lipids
keywords: cholesterol crystal; chronic kidney disease; optical coherence tomography; plaque