Plasma biomarkers for predicting heart failure in patients with acute myocardial infarction

Background: Heart failure (HF) following acute myocardial infarction (AMI) is characterized by high mortality and disability rates, which highlights the need of timely and effective revascularization. Recent studies suggested the potential predictivity of biomarkers NT-proBNP, cTNT, PLR, NLR, and GD...

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Main Authors: Guihong Rong, Xiao Wang, Xinling Qin, Yanxia Wang, Meilian Quan, Chunfeng Xi
Format: Article
Language:English
Published: Society of Medical Biochemists of Serbia, Belgrade 2025-01-01
Series:Journal of Medical Biochemistry
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Online Access:https://scindeks-clanci.ceon.rs/data/pdf/1452-8258/2025/1452-82582501069G.pdf
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author Guihong Rong
Xiao Wang
Xinling Qin
Yanxia Wang
Meilian Quan
Chunfeng Xi
author_facet Guihong Rong
Xiao Wang
Xinling Qin
Yanxia Wang
Meilian Quan
Chunfeng Xi
author_sort Guihong Rong
collection DOAJ
description Background: Heart failure (HF) following acute myocardial infarction (AMI) is characterized by high mortality and disability rates, which highlights the need of timely and effective revascularization. Recent studies suggested the potential predictivity of biomarkers NT-proBNP, cTNT, PLR, NLR, and GDF-15 in cardiovascular events, but their value in HF patients post-AMI still require further verification. Therefore, the present study aimed to identify potent biomarkers for prognosticating the development of HF subsequent to AMI, and to devise early interception and therapeutic strategies. Methods: A total of 170 patients with AMI were enrolled in this study, including 44 patients with post-AMI HF and 126 patients with post-AMI non-HF. We measured the serum biomarkers NT-proBNP, cTNT, PLR, NLR, and GDF-15 in all patients using enzyme-linked immunosorbent assay (ELISA). Subsequently, we performed t-tests to assess the predictive value of these biomarkers for post-AMI HF. Results: In the group of HF patients, cTNT, NT-proBNP, GDF-15 and NLR was significantly higher than in the group without HF, but PLR was not. The AUC of NLR to predict HF after AMI was 0.632 (95%CI: 0.542-0.723), P=0.010, with a cut-off value of (3.86×109)/L, GDF-15 was 0.661 (95%CI: 0.560-0.763), P=0.002, with a cutoff value of 1.35 ng/mL, and NT-proBNP was 0.82 (95%CI: 0.723-0.876), P<0.001, with a cut-off value of 1444 pg/mL. Conclusions: In five biomarkers, there is predictive value in NT-proBNP, NLR, GDF-15 for patients with HF after AMI.
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spelling doaj-art-046f04bbdb5f41b5a628e5bfe13f64542025-02-05T13:11:23ZengSociety of Medical Biochemists of Serbia, BelgradeJournal of Medical Biochemistry1452-82581452-82662025-01-01441697610.5937/jomb0-507411452-82582501069GPlasma biomarkers for predicting heart failure in patients with acute myocardial infarctionGuihong Rong0Xiao Wang1Xinling Qin2Yanxia Wang3Meilian Quan4Chunfeng Xi5Affiliated Hospital of Guilin Medical University, Department of Clinical Laboratory, Guilin, ChinaAffiliated Hospital of Guilin Medical University, Department of Clinical Laboratory, Guilin, ChinaAffiliated Hospital of Guilin Medical University, Department of Clinical Laboratory, Guilin, ChinaAffiliated Hospital of Guilin Medical University, Department of Clinical Laboratory, Guilin, ChinaAffiliated Hospital of Guilin Medical University, Department of Clinical Laboratory, Guilin, ChinaAffiliated Hospital of Guilin Medical University, Department of Clinical Laboratory, Guilin, ChinaBackground: Heart failure (HF) following acute myocardial infarction (AMI) is characterized by high mortality and disability rates, which highlights the need of timely and effective revascularization. Recent studies suggested the potential predictivity of biomarkers NT-proBNP, cTNT, PLR, NLR, and GDF-15 in cardiovascular events, but their value in HF patients post-AMI still require further verification. Therefore, the present study aimed to identify potent biomarkers for prognosticating the development of HF subsequent to AMI, and to devise early interception and therapeutic strategies. Methods: A total of 170 patients with AMI were enrolled in this study, including 44 patients with post-AMI HF and 126 patients with post-AMI non-HF. We measured the serum biomarkers NT-proBNP, cTNT, PLR, NLR, and GDF-15 in all patients using enzyme-linked immunosorbent assay (ELISA). Subsequently, we performed t-tests to assess the predictive value of these biomarkers for post-AMI HF. Results: In the group of HF patients, cTNT, NT-proBNP, GDF-15 and NLR was significantly higher than in the group without HF, but PLR was not. The AUC of NLR to predict HF after AMI was 0.632 (95%CI: 0.542-0.723), P=0.010, with a cut-off value of (3.86×109)/L, GDF-15 was 0.661 (95%CI: 0.560-0.763), P=0.002, with a cutoff value of 1.35 ng/mL, and NT-proBNP was 0.82 (95%CI: 0.723-0.876), P<0.001, with a cut-off value of 1444 pg/mL. Conclusions: In five biomarkers, there is predictive value in NT-proBNP, NLR, GDF-15 for patients with HF after AMI.https://scindeks-clanci.ceon.rs/data/pdf/1452-8258/2025/1452-82582501069G.pdfheart failureacute myocardial infarctiongdf-15nt-probnp
spellingShingle Guihong Rong
Xiao Wang
Xinling Qin
Yanxia Wang
Meilian Quan
Chunfeng Xi
Plasma biomarkers for predicting heart failure in patients with acute myocardial infarction
Journal of Medical Biochemistry
heart failure
acute myocardial infarction
gdf-15
nt-probnp
title Plasma biomarkers for predicting heart failure in patients with acute myocardial infarction
title_full Plasma biomarkers for predicting heart failure in patients with acute myocardial infarction
title_fullStr Plasma biomarkers for predicting heart failure in patients with acute myocardial infarction
title_full_unstemmed Plasma biomarkers for predicting heart failure in patients with acute myocardial infarction
title_short Plasma biomarkers for predicting heart failure in patients with acute myocardial infarction
title_sort plasma biomarkers for predicting heart failure in patients with acute myocardial infarction
topic heart failure
acute myocardial infarction
gdf-15
nt-probnp
url https://scindeks-clanci.ceon.rs/data/pdf/1452-8258/2025/1452-82582501069G.pdf
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AT xinlingqin plasmabiomarkersforpredictingheartfailureinpatientswithacutemyocardialinfarction
AT yanxiawang plasmabiomarkersforpredictingheartfailureinpatientswithacutemyocardialinfarction
AT meilianquan plasmabiomarkersforpredictingheartfailureinpatientswithacutemyocardialinfarction
AT chunfengxi plasmabiomarkersforpredictingheartfailureinpatientswithacutemyocardialinfarction