ArticleFrontiers in cardiovascular medicine2025
Congestion and systemic inflammation in acute heart failure: correlations and prognostic role.
Article in Frontiers in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Correlation Between the High-Sensitivity C-Reactive Protein-to-Albumin Ratio and All-Cause Mortality in Patients With Acute Exacerbation of Chronic Heart Failure.Clinical cardiology · 2026Article
- Association between vascular adhesion protein-1 and major adverse cardiovascular events in heart failure patients: a retrospective cohort analysis.BMC cardiovascular disorders · 2026Observational
- Cardiorenal and Metabolic Dimensions of Cardiomyopathies and Heart Failure: Focus on SGLT2i, GLP1-RA, and ns-MRA.Current cardiology reports · 2026Review
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Authors and funding
10 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Background: The reciprocal correlation between systemic inflammation and heart failure (HF) is a hotline research topic although the exact role in risk stratification and prognosis within the acute setting is a matter of debate. This study aimed to evaluate the correlation among two inflammatory biomarkers-namely, high-sensitivity C-reactive protein (hs-CRP) and neutrophil-lymphocyte ratio (NLR), congestion status, and prognosis in patients with acute HF (AHF). Methods: We consecutively enrolled 314 AHF patients. Congestion biomarkers [brain natriuretic peptide, estimated plasma volume status (ePVS), hydration index (HI), blood urea nitrogen to creatinine ratio (BUN/Cr)] were evaluated to assess hemodynamic intravascular, peripheral, and venous congestion. We also measured hs-CRP and NLR as markers of inflammation. The endpoint was all-cause mortality at 90 days. Results: hs-CRP concentrations at admission [12.1 mg/L, 95% confidence interval (CI) 10-15] were associated with NLR values (4.8, 95% CI: 4.3-5.3) ( Conclusion: Systemic inflammation seemed directly associated with congestion burden in patients with AHF. Both of them have different impacts on the prediction of adverse outcomes in these patients. Further studies are needed to address unmet needs.
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