Evidence map›Paper›PMID 32354356›Full record

ArticleBMC cardiovascular disorders2020

Comparison of predictive value of NT-proBNP, sST2 and MMPs in heart failure patients with different ejection fractions.

Wei Pan, Donghui Yang, Peng Yu, Huizhen Yu

Abstract readComparative Study
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Wei PanKey laboratory of Geriatrics, Shengli Clinical Medical College of Fujian Medical University, Fujian Institute of Clinical Geriatrics, No.134, Road Dongjie, District Gulou, Fuzhou, 350001, P.R. China.
Donghui YangKey laboratory of Geriatrics, Shengli Clinical Medical College of Fujian Medical University, Fujian Institute of Clinical Geriatrics, No.134, Road Dongjie, District Gulou, Fuzhou, 350001, P.R. China.
Peng YuDepartment of medicine, Fujian Provincial Hospital South Branch, Fuzhou, 350028, China.
Huizhen YuKey laboratory of Geriatrics, Shengli Clinical Medical College of Fujian Medical University, Fujian Institute of Clinical Geriatrics, No.134, Road Dongjie, District Gulou, Fuzhou, 350001, P.R. China. yhz2003333@163.com.ORCID 0000-0002-6845-5197

Funding

National Natural Science Foundation of China 81373785National Natural Science Foundation of China 81670258National Outstanding Youth Science Fund Project of National Natural Science Foundation of China (CN) 20170132Natural Science Foundation of Fujian 2017J01247Science and Technology Planning Project of Shenzhen Municipality (CN) JCYJ20180306173433984
6 · The paper itself

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.

Indexed as

Stroke VolumeVentricular Function, LeftBiomarkersChinaCross-Sectional StudiesHeart FailureHumansMatrix Metalloproteinase 2Matrix Metalloproteinase 9Natriuretic Peptide, BrainPeptide FragmentsPrognosisReceptors, SomatostatinRisk AssessmentRisk FactorsTime FactorsBiomarkersMatrix Metalloproteinase 2Matrix Metalloproteinase 9MMP2 protein, humanMMP9 protein, humanNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)Receptors, Somatostatinsomatostatin receptor 2HFMMPsNT-proBNPPredictive valuesST2

Identifiers

PMID32354356
PMCPMC7193418

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