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Myocardial fibrosis combined with NT-proBNP improves the accuracy of survival prediction in ADHF patients

BACKGROUND: Soluble 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...

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Autores principales: Yao, Yiling, Feng, Li, Sun, Yanxiang, Wang, Shifei, Sun, Jie, Hu, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164226/
https://www.ncbi.nlm.nih.gov/pubmed/34049488
http://dx.doi.org/10.1186/s12872-021-02083-6
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author Yao, Yiling
Feng, Li
Sun, Yanxiang
Wang, Shifei
Sun, Jie
Hu, Bing
author_facet Yao, Yiling
Feng, Li
Sun, Yanxiang
Wang, Shifei
Sun, Jie
Hu, Bing
author_sort Yao, Yiling
collection PubMed
description BACKGROUND: Soluble 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. METHODS: This 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. RESULTS: In 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]. CONCLUSIONS: NT-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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spelling pubmed-81642262021-06-01 Myocardial fibrosis combined with NT-proBNP improves the accuracy of survival prediction in ADHF patients Yao, Yiling Feng, Li Sun, Yanxiang Wang, Shifei Sun, Jie Hu, Bing BMC Cardiovasc Disord Research BACKGROUND: Soluble 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. METHODS: This 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. RESULTS: In 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]. CONCLUSIONS: NT-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. BioMed Central 2021-05-28 /pmc/articles/PMC8164226/ /pubmed/34049488 http://dx.doi.org/10.1186/s12872-021-02083-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Yao, Yiling
Feng, Li
Sun, Yanxiang
Wang, Shifei
Sun, Jie
Hu, Bing
Myocardial fibrosis combined with NT-proBNP improves the accuracy of survival prediction in ADHF patients
title Myocardial fibrosis combined with NT-proBNP improves the accuracy of survival prediction in ADHF patients
title_full Myocardial fibrosis combined with NT-proBNP improves the accuracy of survival prediction in ADHF patients
title_fullStr Myocardial fibrosis combined with NT-proBNP improves the accuracy of survival prediction in ADHF patients
title_full_unstemmed Myocardial fibrosis combined with NT-proBNP improves the accuracy of survival prediction in ADHF patients
title_short Myocardial fibrosis combined with NT-proBNP improves the accuracy of survival prediction in ADHF patients
title_sort myocardial fibrosis combined with nt-probnp improves the accuracy of survival prediction in adhf patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164226/
https://www.ncbi.nlm.nih.gov/pubmed/34049488
http://dx.doi.org/10.1186/s12872-021-02083-6
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