ArticleBMC cardiovascular disorders2020
Comparison of predictive value of NT-proBNP, sST2 and MMPs in heart failure patients with different ejection fractions.
Article in BMC cardiovascular disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic and prognostic value of serum soluble suppression of tumorigenicity-2 in heart failure with preserved ejection fraction: A systematic review and meta-analysis.Frontiers in cardiovascular medicine · 2022Pooled it
- Cross-Sectional Associations Between Skeletal Muscle Measurements, Myostatin, and MicroRNA-133a in Heart Failure Patients Undergoing Cardiac Rehabilitation.Biomedicines · 2026Article
- Harmony in Chaos: Deciphering the Influence of Ischemic Cardiomyopathy and Non-Cardiac Comorbidities on Holter ECG Parameters in Chronic Heart Failure Patients: A Pilot Study.Medicina (Kaunas, Lithuania) · 2024Article
- Protocatechuic acid prevents isoproterenol-induced heart failure in mice by downregulating kynurenine-3-monooxygenase.Journal of cellular and molecular medicine · 2023Article
- Anaemia and Congestion in Heart Failure: Correlations and Prognostic Role.Biomedicines · 2023Article
- Linggui Zhugan Decoction activates the SIRT1-AMPK-PGC1α signaling pathway to improve mitochondrial and oxidative damage in rats with chronic heart failure caused by myocardial infarction.Frontiers in pharmacology · 2023Article
- PACAP-38 and PAC1 Receptor Alterations in Plasma and Cardiac Tissue Samples of Heart Failure Patients.International journal of molecular sciences · 2022Article
- Serum Soluble ST2 Is a Valuable Prognostic Biomarker in Patients With Acute Heart Failure.Frontiers in cardiovascular medicine · 2022Article
- Identification of energy metabolism-related biomarkers for risk prediction of heart failure patients using random forest algorithm.Frontiers in cardiovascular medicine · 2022Article
- Soluble suppression of tumorigenicity 2 as outcome predictor after cardiopulmonary resuscitation: an observational prospective study.Scientific reports · 2021Observational
- Cardiac congestion assessed by natriuretic peptides oversimplifies the definition and treatment of heart failure.ESC heart failure · 2021Article
- Cardiotoxicity of anthracycline-free targeted oncological therapies in HER2-positive breast cancer.Oncology letters · 2021Review
- The Novel Perspectives Opened by ST2 in the Pandemic: A Review of Its Role in the Diagnosis and Prognosis of Patients with Heart Failure and COVID-19.Diagnostics (Basel, Switzerland) · 2021Review
- Correlation between Serum LP-PLA2 and sST2 Levels and the Condition of Patients with Acute Heart Failure and Their Prognostic Value.Evidence-based complementary and alternative medicine : eCAM · 2021Article
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Abstract
backgroundThis study sought to compare the predictive value of NT-proBNP, sST2 and MMPs in HF with different ejection fractions from a population in southern China.
methodsA cross-sectional study was conducted on 113 HF patients admitted to Fujian Provincial Hospital from December 2016 to March 2018.The patients were divided into three subgroups: 60 cases in HFpEF group (LVEF≥50%), 28 cases in HFmrEF group (41% ≤ LVEF≤49%) and 25 cases in HFrEF group (LVEF≤40%). ELISA method was applied to detect the concentrations of sST2, MMP-2 and MMP-9. Electrochemical luminescence immunoassay was applied to detect the concentration of plasma NT-proBNP. Univariate and multivariate Cox and logistic regression models were used to analyze the diagnostic significance of these plasma biomarkers in HF patients. Kaplan-Meier survival curves were used to assess the prognostic value of sST2 in the incidence of long-term adverse events during study.
resultsThis study showed that plasma sST2 levels in HFrEF or HFmrEF patients were significantly higher than in HFpEF patients. Plasma levels of MMP-2 and MMP-9 in HFrEF patients were apparently higher than in HFpEF or HFmrEF patients. For the diagnosis of HFpEF, the AUC of NT-proBNP was higher than that of sST2, MMP-2 and MMP-9, which were 0.881, 0.717, 0.705 and 0.597, respectively. For the diagnosis of HFmrEF, the AUC of plasma sST2 was higher than that of MMP-2, MMP-9 and NT-proBNP, which were 0.799, 0.678, 0.676 and 0.793, respectively. For the diagnosis of HFrEF, the AUC of plasma NT-proBNP, sST2, MMP-2, and MMP-9 were 0.945, 0.820, 0.814, and 0.774 respectively. Spearman correlation analysis showed that plasma sST2 levels were significantly correlated with plasma MMP-2, MMP-9 and NT-proBNP levels. Further logistic regression analysis showed that except MMP-9, the biomarkers sST2 (OR = 1.960), MMP-2 (OR = 0.805) and NT-proBNP (OR = 0.002) were all independent risk factors for patients with heart failure. Survival analysis results suggested that for patients with HFmrEF, a higher level of plasma sST2 (≥ 0.332 ng/ml at admission) may predict a higher risk of endpoint events and a lower survival rate (P < 0.025).
conclusionsThe circulating biomarkers sST2, MMP-2 and NT-proBNP were all independent risk factors for patients with heart failure. The sST2 can be a useful biomarker with both diagnostic and prognostic value in patients with HFmrEF. The higher sST2 level in patients with heart failure was related to a higher incidence of combined endpoint outcome.
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