Literature DB >> 35144395

Analysis of correlation between heart failure in the early stage of acute myocardial infarction and serum pregnancy associated plasma protein-A, prealbumin, C-reactive protein, and brain natriuretic peptide levels.

Yang Yang1, Jia Liu2, Fenglong Zhao3, Zhe Yuan4, Chuanqiang Wang1, Ke Chen1, Wenliang Xiao1.   

Abstract

BACKGROUND: The study sought to analyze the predictive value of the early measurement of pregnancy associated plasma protein-A (PAPP-A), prealbumin (PAB), C-reactive protein (CRP), brain natriuretic peptide (BNP), and other indicators of heart failure (HF) after acute myocardial infarction (AMI).
METHODS: A total of 200 AMI patients admitted to Wuyi People's Hospital from November 1, 2019 to October 31, 2020 were continuously enrolled as the research objects and divided into a HF group (Killip class II or above, n=94) and HF-free group (Killip class I or below, n=106) according to the Killip Classification for Heart Function.
RESULTS: The age, creatine kinase-myocardial band (CK-MB), PAPP-A, CRP, suppression of tumorigenicity 2 (ST2), BNP, aldosterone (ALD), and left ventricular end-diastolic diameter (LVEDD) of the HF group were all significantly higher than those of the HF-free group, while the PAB and left ventricular ejection fraction (LVEF) were significantly lower (P<0.05). The PAPP-A, CRP, and BNP of HF patients increased as the Killip class increased, while the PAB decreased progressively (P<0.05). After including the statistically significant single factors in a multivariate logistic regression analysis, it was found that PAPP-A, PAB, CRP, and BNP were the independent influencing factors causing HF in the early stage of AMI; and the diagnostic efficacy of HF in the early stage of AMI (from high to low) was combined test, PAPP-A, PAB, BNP and CRP.
CONCLUSIONS: Serum PAPP-A, PAB, CRP and BNP levels are the independent influencing factors of HF after AMI, but comprehensive tests of clinical indicators, including PAPP-A, PAB, CRP, and BNP, are more accurate at predicting and evaluating HF and can be used to guide clinical decisions.

Entities:  

Keywords:  Acute myocardial infarction (AMI); correlation analysis; early heart failure

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Year:  2022        PMID: 35144395     DOI: 10.21037/apm-21-2993

Source DB:  PubMed          Journal:  Ann Palliat Med        ISSN: 2224-5820


  1 in total

Review 1.  From Classic to Modern Prognostic Biomarkers in Patients with Acute Myocardial Infarction.

Authors:  Cristian Stătescu; Larisa Anghel; Bogdan-Sorin Tudurachi; Andreea Leonte; Laura-Cătălina Benchea; Radu-Andy Sascău
Journal:  Int J Mol Sci       Date:  2022-08-15       Impact factor: 6.208

  1 in total

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