Prognostic value of changes in N-terminal pro-brain natriuretic peptide in Val-HeFT (Valsartan Heart Failure Trial).

2008 
Objectives This study sought to evaluate the association between changes over time of N-terminal pro-brain natriuretic peptide (NT-proBNP) expressed in different ways and outcome in patients with stable and chronic heart failure (HF). Background Although previous studies examined the prognostic value of repeated determinations of BNP in HF, there are only limited data on the clinical utility of serial measurements of the inactive peptide NT-proBNP in a large population of ambulatory patients with chronic HF with sufficient follow-up time. Methods The NT-proBNP was measured at randomization and after 4 months in 1,742 patients enrolled in the placebo arm of Val-HeFT (Valsartan Heart Failure Trial). Changes in NT-proBNP concentrations over 4 months were expressed as absolute change from baseline, percent relative changes, or categorical changes across a threshold value and related to subsequent mortality. Results A single determination of NT-proBNP (area under the curve at 4 months: 0.702, 95% confidence interval [CI]: 0.669 to 0.735) showed a higher prognostic discrimination than continuous changes of concentrations, expressed either as absolute (0.592, 95% CI: 0.549 to 0.634) or relative changes (0.602, 95% CI: 0.566 to 0.639). A Cox proportional hazards model showed that stratification of patients into 4 categories according to NT-proBNP levels at 2 time points 4 months apart with respect to a threshold concentration provided prognostic information in patients with chronic HF beyond that of a single determination. Conclusions Serial determinations of NT-proBNP concentration and classification into few categories of changes according to threshold levels may be a superior strategy for risk stratification of patients with chronic and stable HF.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    24
    References
    277
    Citations
    NaN
    KQI
    []