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Plasma biomarkers for predicting heart failure in patients with acute myocardial infarction
Rong Guihong1, Wang Xiao1, Qin Xinling1
1Affiliated Hospital of Guilin Medical University, Department of Clinical Laboratory, Guilin, China.
Insights
Biomarkers like NT-proBNP, NLR, and GDF-15 can predict heart failure (HF) after acute myocardial infarction (AMI). Early identification of these HF biomarkers aids in developing timely therapeutic strategies for better patient outcomes.
Area of Science:
- Cardiology
- Biomarker Discovery
- Clinical Prognostics
Background:
- Heart failure (HF) post-acute myocardial infarction (AMI) leads to high mortality.
- Timely revascularization is crucial for managing post-AMI HF.
- Predictive value of biomarkers like NT-proBNP, cTNT, PLR, NLR, and GDF-15 for post-AMI HF requires further investigation.
Purpose of the Study:
- Identify potent biomarkers for prognosing HF development after AMI.
- Devise early interception and therapeutic strategies for post-AMI HF.
- Evaluate the predictive accuracy of NT-proBNP, cTNT, PLR, NLR, and GDF-15 in post-AMI HF patients.
Main Methods:
- 170 AMI patients were enrolled (44 with post-AMI HF, 126 without).
- Serum biomarkers (NT-proBNP, cTNT, PLR, NLR, GDF-15) were measured using ELISA.
- T-tests were employed to assess the predictive value of biomarkers for post-AMI HF.
Main Results:
- NT-proBNP, GDF-15, and NLR levels were significantly higher in the HF group.
- PLR levels did not differ significantly between groups.
- NT-proBNP demonstrated the highest predictive value (AUC=0.82), followed by GDF-15 (AUC=0.661) and NLR (AUC=0.632).
Conclusions:
- NT-proBNP, NLR, and GDF-15 are valuable biomarkers for predicting HF post-AMI.
- These biomarkers can aid in early risk stratification and management of post-AMI HF.
- Further research may refine therapeutic strategies based on these predictive markers.
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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