Back to Search Start Over

A network analysis to compare biomarker profiles in patients with and without diabetes mellitus in acute heart failure.

Authors :
Sharma, Abhinav
Demissei, Biniyam G.
Tromp, Jasper
Hillege, Hans L.
Cleland, John G.
O'Connor, Christopher M.
Metra, Marco
Ponikowski, Piotr
Teerlink, John R.
Davison, Beth A.
Givertz, Michael M.
Bloomfield, Daniel M.
Dittrich, Howard
van Veldhuisen, Dirk J.
Cotter, Gad
Ezekowitz, Justin A.
Khan, Mohsin A. F.
Voors, Adriaan A.
Source :
European Journal of Heart Failure. Supplements; Oct2017, Vol. 19 Issue 10, p1310-1320, 11p
Publication Year :
2017

Abstract

Aims It is unclear whether distinct pathophysiological processes are present among patients with acute heart failure (AHF), with and without diabetes. Network analysis of biomarkers may identify correlative associations that reflect different pathophysiological pathways. Methods and results We analysed a panel of 48 circulating biomarkers measured within 24 h of admission for AHF in a subset of patients enrolled in the PROTECT trial. In patients with and without diabetes, we performed a network analysis to identify correlations between measured biomarkers. Compared with patients without diabetes (n = 1111), those with diabetes (n = 922) had a higher prevalence of ischaemic heart disease and traditional coronary risk factors. After multivariable adjustment, patients with and without diabetes had significantly different levels of biomarkers across a spectrum of pathophysiological domains, including inflammation (TNFR-1a, periostin), cardiomyocyte stretch (BNP), angiogenesis (VEGFR, angiogenin), and renal function (NGAL, KIM-1) (adjusted P-value <0.05). Among patients with diabetes, network analysis revealed that periostin strongly clustered with C-reactive protein and interleukin-6. Furthermore, renal markers (creatinine and NGAL) closely associated with potassium and glucose. These findings were not seen among patients without diabetes. Conclusion Patients with AHF and diabetes, compared with those without diabetes, have distinct biomarker profiles. Network analysis suggests that cardiac remodelling, inflammation, and fibrosis are closely associated with each other in patients with diabetes. Furthermore, potassium levels may be sensitive to changes in renal function as reflected by the strong renal-potassium-glucose correlation. These findings were not seen among patients without diabetes and may suggest distinct pathophysiological processes among AHF patients with diabetes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15674215
Volume :
19
Issue :
10
Database :
Complementary Index
Journal :
European Journal of Heart Failure. Supplements
Publication Type :
Academic Journal
Accession number :
125746232
Full Text :
https://doi.org/10.1002/ejhf.912