title: The clinical and hemodynamic factors that influence the concentrations of biomarkers of myocyte injury measured by high sensitive assay PATHFAST.
abstract: BACKGROUND
  Subclinical myocyte injury plays an important role in the progression of congestive heart failure. However, the clinical and hemodynamic factors that influence the concentrations of biomarkers of myocyte injury have not been clarified.
  
  
  METHODS
  Blood was sampled during diagnostic cardiac catheterization from 108 consecutive patients without acute coronary syndrome and acute cardiac decompensation. The serum concentrations of B-type natriuretic peptide (BNP), cardiac troponin I (cTnI), creatine kinase (CK)-MB, and myoglobin were measured simultaneously by high sensitive PATHFAST assay. Single and multiple variable regression analyses were carried out in search of correlations between clinical and hemodynamic variables and concentrations of biomarkers.
  
  
  RESULTS
  By multiple variable analysis, hemoglobin concentration, pulmonary capillary wedge pressure (PCWP), left ventricular (LV) ejection fraction, and estimated glomerular filtration rate (GFR) were independently correlated with a BNP concentration ≥ median 72.1 pg/ml. The only factors independently correlated with a concentration of cTnI ≥ median 0.01 ng/ml were PCWP and estimated GFR. Cardiac index emerged as a single, powerful, independent correlate of CK-MB concentration ≥ median 0.66 ng/ml, and estimated GFR emerged as a single independent correlate of myoglobin concentration ≥ median 40.1 ng/ml.
  
  
  CONCLUSIONS
  Clinical and hemodynamic factors influence the concentrations of BNP, cTnI, CK-MB, and myoglobin. These factors should be considered when interpreting the concentrations of these biochemical markers.
authors.affiliation: Department of Cardiology, Hyogo Prefectural Amagasaki Hospital, Amagasaki, Hyogo, Japan. cardioys@kuhp.kyoto-u.ac.jp
authors.forename: Yukihito
authors.initials: Y
authors.lastname: Sato
authors.forename: Tadashi
authors.initials: T
authors.lastname: Miyamoto
authors.forename: Ryoji
authors.initials: R
authors.lastname: Taniguchi
authors.forename: Kazuya
authors.initials: K
authors.lastname: Nagao
authors.forename: Tatsuhiko
authors.initials: T
authors.lastname: Matsuoka
authors.forename: Rei
authors.initials: R
authors.lastname: Fukuhara
authors.forename: Yasuhide
authors.initials: Y
authors.lastname: Kuwabara
authors.forename: Kei
authors.initials: K
authors.lastname: Isoda
authors.forename: Keiichiro
authors.initials: K
authors.lastname: Yamane
authors.forename: Kiyoto
authors.initials: K
authors.lastname: Nishi
authors.forename: Sayaka
authors.initials: S
authors.lastname: Saijyo
authors.forename: Hisayoshi
authors.initials: H
authors.lastname: Fujiwara
authors.forename: Yoshiki
authors.initials: Y
authors.lastname: Takatsu
mesh_terms: D000368:Aged; D015415:Biomarkers / Q000097:blood*; D052279:Creatine Kinase, MB Form / Q000097:blood*; D005260:Female; D006333:Heart Failure / Q000097:blood*; D006801:Humans; D008297:Male; D032383:Myocytes, Cardiac / Q000502:physiology*; D009211:Myoglobin / Q000097:blood*; D020097:Natriuretic Peptide, Brain / Q000097:blood*; D019210:Troponin I / Q000097:blood*
chemical_list: D015415:Biomarkers; D009211:Myoglobin; D019210:Troponin I; D020097:Natriuretic Peptide, Brain; D052279:Creatine Kinase, MB Form