title: An equation to explain variations in blood NT-proBNP in ambulatory cardiac subjects.
abstract: BACKGROUND
  NT-proBNP is being used as a biomarker for prognosticating and delineating cardiac dysfunction. The cut-off value for deciding normal versus abnormal levels has always been a point of contention since it depends on the degree of dysfunction as well as other associated conditions often termed non-cardiac factors and parameters. Such association had not been formally presented.
  
  
  OBJECTIVE
  To determine the direction and magnitude of effect of cardiac and non-cardiac parameters on NT-proBNP variability.
  
  
  METHODS
  The present study included 78 cardiac ambulatory patients with a history of heart failure and/or low left ventricular ejection fraction. Their cardiac and non-cardiac parameters were recorded at the time of blood sampling for NT-proBNP. Multivariate linear regression analysis was used to correlate cardiac and non-cardiac parameters with NT-proBNP level and, from this, a predictive equation was derived.
  
  
  RESULTS
  Log [NT-proBNP (pmol/l)] was 1.424 + 0.348 (for EF of 18-27) + 0.636 (for EF < 18) + 0.021 CTR - 0.002 SMW- 0.326 for female + 0.430 Cr - 0.010 BW [EF = LV ejectionfraction in %; CTR = cardio-thoracic ratio in %; SMW = 6-minute walking distance in meters; Cr = serum creatinine in mg/dl; BW = body weight in kg]. The adjusted R-square for this regression was 0.659. Omitting the non-cardiac variables (sex, Cr, BW) would decrease the adjusted R-square to 0.493.
  
  
  CONCLUSIONS
  Cut-off value for NT-proBNP concentration in subjects without severe systolic heart failure has to account for these non-cardiac factors.
authors.affiliation: Department of Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand. ssaranyo@medicine.psu.ac.th
authors.forename: Saranyou
authors.initials: S
authors.lastname: Suwanugsorn
authors.forename: Tada
authors.initials: T
authors.lastname: Yipintsoi
authors.forename: Alan F
authors.initials: AF
authors.lastname: Geater
authors.forename: Woravut
authors.initials: W
authors.lastname: Jintapakorn
authors.forename: Arintaya
authors.initials: A
authors.lastname: Phromminthikul
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D015415:Biomarkers / Q000097:blood*; D003937:Diagnosis, Differential; D005260:Female; D006333:Heart Failure / Q000097:blood*; D006801:Humans; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D020097:Natriuretic Peptide, Brain / Q000097:blood*; D010446:Peptide Fragments / Q000097:blood*; D011237:Predictive Value of Tests; D018487:Ventricular Dysfunction, Left / Q000097:blood* / Q000503:physiopathology
chemical_list: D015415:Biomarkers; D010446:Peptide Fragments; C109794:pro-brain natriuretic peptide (1-76); D020097:Natriuretic Peptide, Brain