Temporal Patterns of 14 Blood Biomarker candidates of Cardiac Remodeling in Relation to Prognosis of Patients With Chronic Heart Failure—The Bio‐SHiFT Study
Background Remodeling biomarkers carry high potential for predicting adverse events in chronic heart failure ( CHF ) patients. However, temporal patterns during the course of CHF , and especially the trajectory before an adverse event, are unknown. We studied the prognostic value of temporal pattern...
Saved in:
Published in | Journal of the American Heart Association Vol. 8; no. 4 |
---|---|
Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Hoboken
John Wiley and Sons Inc
19.02.2019
Wiley |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Background
Remodeling biomarkers carry high potential for predicting adverse events in chronic heart failure (
CHF
) patients. However, temporal patterns during the course of
CHF
, and especially the trajectory before an adverse event, are unknown. We studied the prognostic value of temporal patterns of 14 cardiac remodeling biomarker candidates in stable patients with CHF from the Bio‐SHiFT (Serial Biomarker Measurements and New Echocardiographic Techniques in Chronic Heart Failure Patients Result in Tailored Prediction of Prognosis) study.
Methods and Results
In 263
CHF
patients, we performed trimonthly blood sampling during a median follow‐up of 2.2 years. For the analysis, we selected all baseline samples, the 2 samples closest to the primary end point (
PE
), or the last sample available for end point–free patients. Thus, in 567 samples, we measured suppression of tumorigenicity‐2, galectin‐3, galectin‐4, growth differentiation factor‐15, matrix metalloproteinase‐2, 3, and 9, tissue inhibitor metalloproteinase‐4, perlecan, aminopeptidase‐N, caspase‐3, cathepsin‐D, cathepsin‐Z, and cystatin‐B. The
PE
was a composite of cardiovascular mortality, heart transplantation, left ventricular assist device implantation, and
HF
hospitalization. Associations between repeatedly measured biomarker candidates and the
PE
were investigated by joint modeling. Median age was 68 (interquartile range: 59–76) years with 72% men; 70 patients reached the
PE
. Repeatedly measured suppression of tumorigenicity‐2, galectin‐3, galectin‐4, growth differentiation factor‐15, matrix metalloproteinase‐2 and 9, tissue inhibitor metalloproteinase‐4, perlecan, cathepsin‐D, and cystatin‐B levels were significantly associated with the
PE
, and increased as the
PE
approached. The slopes of biomarker trajectories were also predictors of clinical outcome, independent of their absolute level. Associations persisted after adjustment for clinical characteristics and pharmacological treatment. Suppression of tumorigenicity‐2 was the strongest predictor (hazard ratio: 7.55 per
SD
difference, 95%
CI
: 5.53–10.30), followed by growth differentiation factor‐15 (4.06, 2.98–5.54) and matrix metalloproteinase‐2 (3.59, 2.55–5.05).
Conclusions
Temporal patterns of remodeling biomarker candidates predict adverse clinical outcomes in
CHF
.
Clinical Trial Registration
URL
:
http://www.clinicaltrials.gov
. Unique identifier:
NCT
01851538. |
---|---|
Bibliography: | Dr Bouwens and Dr Brankovic contributed equally to this work. |
ISSN: | 2047-9980 2047-9980 |
DOI: | 10.1161/JAHA.118.009555 |