title: [Cardiac markers in different degrees of chronic kidney disease: influence of inflammation and previous heart disease].
abstract: OBJECTIVE
  Troponin T (TnT), brain natriuretic peptide (BNP) and its precursor (NT-proBNP) are useful markers of acute coronary events and heart failure. The aim of this study was to analyze the influence of chronic renal failure, inflammation and heart disease in these biomarkers.
  
  
  METHODS
  In 266 patients with different stages of chronic renal diseases, the following parameters were measured: cardiac markers (TnT, BNP and NT-proBNP), renal function, inflammatory markers (hsCRP, fibrinogen, albumin, uric acid and white blood cells). We recorded the cardiovascular history. Ventricular dysfunction and left ventricular hypertrophy were assessed by echocardiography.
  
  
  RESULTS
  A significant correlation between cardiac markers and inflammatory parameters such as fibrinogen, hsCRP and albumin was found. Age (OR 1.05, P = .021), serum albumin (OR: 0.06, P=.006), ischemic heart disease (OR: 8.17, P=.0092) and renal failure (OR: 1.67, P=.05) were predictors of higher BNP levels. Age (OR 1.05, P=.0097), serum albumin (OR: 0.12, P=.001), ischemic heart disease (OR: 3.43, P=.034), renal failure (OR: 1, 65, P=.036) and heart failure (OR: 4.33, P=.0312) were predictors of elevated NT-proBNP. Previous ischemic heart disease alone increased TnT levels (OR: 6.51, P=.0012).
  
  
  CONCLUSIONS
  Age, previous cardiac disease and inflammation increase cardiac marker levels in patients with different stages of renal disease, but the degree of renal failure is an important factor influencing NT-proBNP levels. However, ischemic heart disease alone increases the levels of TnT.
authors.affiliation: Servicio de Nefrología, Hospital General Universitario Gregorio Marañón, Madrid, Spain. borjaqg@gmail.com
authors.forename: Borja
authors.initials: B
authors.lastname: Quiroga
authors.forename: Marian
authors.initials: M
authors.lastname: Goicoechea
authors.forename: Soledad
authors.initials: S
authors.lastname: García de Vinuesa
authors.forename: Eduardo
authors.initials: E
authors.lastname: Verde
authors.forename: Ursula
authors.initials: U
authors.lastname: Verdalles
authors.forename: Claudia
authors.initials: C
authors.lastname: Yuste
authors.forename: Javier
authors.initials: J
authors.lastname: Reque
authors.forename: José
authors.initials: J
authors.lastname: Luño
mesh_terms: D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D015415:Biomarkers / Q000097:blood; D003430:Cross-Sectional Studies; D005260:Female; D006331:Heart Diseases / Q000097:blood* / Q000150:complications / Q000000981:diagnostic imaging; D006801:Humans; D007249:Inflammation / Q000097:blood* / Q000150:complications; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D020097:Natriuretic Peptide, Brain / Q000097:blood*; D010446:Peptide Fragments / Q000097:blood*; D051436:Renal Insufficiency, Chronic / Q000097:blood* / Q000150:complications; D012720:Severity of Illness Index; D020107:Troponin T / Q000097:blood*; D014463:Ultrasonography
chemical_list: D015415:Biomarkers; D010446:Peptide Fragments; D020107:Troponin T; C109794:pro-brain natriuretic peptide (1-76); D020097:Natriuretic Peptide, Brain