2020
DOI: 10.1016/j.jacc.2019.12.069
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Multiple Plasma Biomarkers for Risk Stratification in Patients With Heart Failure and Preserved Ejection Fraction

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Cited by 130 publications
(120 citation statements)
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“…Marked elevations of circulating pro-inflammatory cytokines are consistently noted in heart failure patients, in both HFrEF and HFpEF subpopulations [ 10 , 11 ]. Cytokine levels are further increased in patients exhibiting an acute decompensation [ 12 ] and seem to predict clinical outcome [ 13 ]. Patients with ischemic cardiomyopathy in the absence of myocardial infarction exhibit induction of chemokines in chronically ischemic myocardial segments, accompanied by recruitment of inflammatory leukocytes [ 14 ].…”
Section: Inflammatory Cytokines In the Pathogenesis Of Chronic Heart mentioning
confidence: 99%
“…Marked elevations of circulating pro-inflammatory cytokines are consistently noted in heart failure patients, in both HFrEF and HFpEF subpopulations [ 10 , 11 ]. Cytokine levels are further increased in patients exhibiting an acute decompensation [ 12 ] and seem to predict clinical outcome [ 13 ]. Patients with ischemic cardiomyopathy in the absence of myocardial infarction exhibit induction of chemokines in chronically ischemic myocardial segments, accompanied by recruitment of inflammatory leukocytes [ 14 ].…”
Section: Inflammatory Cytokines In the Pathogenesis Of Chronic Heart mentioning
confidence: 99%
“…HFpEF is characterized as a contractile dysfunction with normal EF; it represents endothelial dysfunction, which is induced by comorbidities such as ageing, hypertension, diabetes, and obesity. In one recent study, an analysis of blood samples from HFpEF patients revealed that Ang2 was one of the predictive biomarkers for HF-related hospital admission [55]. This indicates that Ang2 levels may reflect endothelial damage and the severity of HFpEF.…”
Section: Ang-tie Pathway In Ischemic Heart Disease Stroke and Heartmentioning
confidence: 99%
“…Indeed, in the past years, Wang et al [ 31 ], measured 10 biomarkers in 3209 participants attending a routine examination cycle of the Framingham Heart Study (CRP, BNP, NT-proBNP, aldosterone, renin, fibrinogen, D-dimer, plasminogen-activator inhibitor type 1, homocysteine, and urinary albumin-to-creatinine ratio), and found that for assessing risk in individuals, the use of the 10 contemporary biomarkers only moderately added to standard risk factors. More recently, Chirinos et al [ 32 ] measured 49 plasma biomarkers from TOPCAT (Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist) trial participants ( n = 379) using a Multiplex assay to assess the relationship between biomarkers and the risk of all-cause death or HF-related hospital admission. In this case, the authors found that various novel circulating biomarkers in key pathophysiological domains are predictive of outcomes in HFpEF, and they concluded that a multimarker approach coupled with machine-learning represents a promising strategy for enhancing risk stratification in HFpEF.…”
Section: Discussionmentioning
confidence: 99%