ArticleBMC cardiovascular disorders2021
Myocardial fibrosis combined with NT-proBNP improves the accuracy of survival prediction in ADHF patients.
Article in BMC cardiovascular disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 5 citations in OpenAlex.
- Low T3 syndrome and short-term outcomes in patients with acute decompensated heart failure: A retrospective observational study.Bioinformation · 2026Article
- Recent advances in biomarkers for cardiac fibrosis.Frontiers in cardiovascular medicine · 2026Review
- The influencing factors of chronic obstructive pulmonary disease concomitant with pulmonary heart disease and the diagnostic value of myocardial markers.Biomedical engineering online · 2025Article
- Article
- Prognostic Value of β1 Adrenergic Receptor Autoantibody and Soluble Suppression of Tumorigenicity-2 in Patients With Acutely Decompensated Heart Failure.Frontiers in cardiovascular medicine · 2022Article
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6 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundSoluble suppression of tumorigenesis-2 (sST2), Procollagen Type III N-Terminal Peptid (PIIINP) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) have been verified their role in predicting survival in acutely decompensated heart failure (ADHF). However, whether their combination could improve more specific and sensitive prognostic information than NT-proBNP alone remains unclear.
methodsThis was a prospective study, in which 217 ADHF patients at admission were enrolled from November 2018 and August 2019 (mean age 66.18 years ± 13.60, 63.98% male). The blood samples were collected to measure the concentrations of NT-proBNP, sST2 and PIIINP in the first 24 h of hospitalizations. All-cause mortality was registered for all patients after they were discharge over a median period of 339 days.
resultsIn univariate Cox analysis, the three biomarkers were predictive of short-term mortality of ADHF patients. After adjusted for some clinical variables including age, admission systolic blood pressure, peripheral edema on admission, history of chronic obstructive pulmonary disease, admission sodium < 135 mmol/L, admission hemoglobin, NT-proBNP, sST2 and PIIINP was significantly associated with the poor outcome (hazard ratio [HR] 1.32, 95% confidence interval [CI] 1.14-1.53, P < 0.01; HR 1.21, 95% CI 1.03-1.43, P = 0.020; HR 1.40, 95% CI 1.08-1.81, P = 0.011). After added with Log2 PIIINP, but not Log2 sST2, the area under the curves (AUC) in the model of clinical variables and Log2 NT-proBNP could increase from 0.79 to 0.85 (95% CI 0.0071-0.10, P = 0.024). Furthermore, compared with the model of clinical variables, Log2 NT-proBNP, the improvement in the prognostic model of clinical variables, Log2 NT-proBNP and Log2 PIIINP had statistical significance [net reclassification improvement (NRI) 0.31, P = 0.018; integrated discrimination improvement (IDI) 0.068, P < 0.01].
conclusionsNT-proBNP, sST2 and PIIINP are independent prognostic factors for all-cause mortality in ADHF patients. Furthermore, the combination of NT-proBNP and PIIINP may provide incremental prognostic value over NT-proBNP in the survival of ADHF patients.
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