Cardiometabolic Biomarkers and Their Temporal Patterns Predict Poor Outcome in Chronic Heart Failure (Bio-SHiFT Study) | Zendy

Miloš Branković | Zendy; K. Martijn Akkerhuis | Zendy; Henk Mouthaan | Zendy; Jasper J. Brugts | Zendy; Olivier C. Manintveld | Zendy; Jan van Ramshorst | Zendy; Tjeerd Germans | Zendy; Victor A. Umans | Zendy; Eric Boersma | Zendy; Isabella Kardys | Zendy

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Cardiometabolic Biomarkers and Their Temporal Patterns Predict Poor Outcome in Chronic Heart Failure (Bio-SHiFT Study)

Author(s) -

Miloš Branković,

K. Martijn Akkerhuis,

Henk Mouthaan,

Jasper J. Brugts,

Olivier C. Manintveld,

Jan van Ramshorst,

Tjeerd Germans,

Victor A. Umans,

Eric Boersma,

Isabella Kardys

Publication year - 2018

Publication title -

the journal of clinical endocrinology and metabolism

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.206

H-Index - 353

eISSN - 1945-7197

pISSN - 0021-972X

DOI - 10.1210/jc.2018-01241

Subject(s) - medicine , heart failure , biomarker , resistin , hazard ratio , cardiology , heart type fatty acid binding protein , natriuretic peptide , framingham heart study , heart transplantation , adipokine , framingham risk score , leptin , disease , fatty acid binding protein , confidence interval , obesity , biochemistry , gene , chemistry

Multiple hormonal and metabolic alterations occur in chronic heart failure (CHF), but their proper monitoring during clinically silent progression of CHF remains challenging. Hence, our objective was to explore whether temporal patterns of six emerging cardiometabolic biomarkers predict future adverse clinical events in stable patients with CHF.

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