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The Predictive Value of Potential Hematological Biomarkers in Acute Coronary Syndrome
Insights
Neutrophil-to-lymphocyte ratio (NLR) effectively predicts acute coronary syndrome (ACS) outcomes and 30-day mortality. Combining NLR with platelet-to-lymphocyte ratio (PLR), monocyte percentage (MO), and white blood cell count (WBC) enhances its predictive power for ACS.
Area of Science:
- Cardiology
- Hematology
- Biomarker Discovery
Background:
- Acute coronary syndrome (ACS) requires reliable predictive markers.
- Hematological parameters are increasingly recognized for their prognostic value.
Purpose of the Study:
- To evaluate the predictive capability of hematological biomarkers for ACS outcomes.
- To assess the association of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), white blood cell count (WBC), and monocyte percentage (MO) with ACS prognosis.
Main Methods:
- Retrospective analysis of 309 ACS patients (UA, STEMI, NSTEMI).
- Investigated associations between NLR, PLR, WBC, MO, and platelet width (PLW) with cardiac troponin I (cTnI), coronary artery occlusion, emergent PCI, and 30-day mortality.
- Utilized t-tests, chi-square tests, non-parametric tests, and multivariate logistic regression.
Main Results:
- NLR, PLR, MO, and WBC showed significant associations with emergent PCI and 30-day mortality (p < 0.05), except for PLW.
- NLR emerged as the strongest predictor of 30-day mortality.
- Significant associations were found between NLR, PLR, WBC, and cTnI levels (p < 0.05).
Conclusions:
- NLR is a valuable and accessible biomarker for predicting ACS outcomes.
- Combining NLR with PLR, MO, and WBC improves its predictive significance in ACS.
Background:
To explore the predictive value of potential hematological biomarkers in acute coronary syndrome (ACS).
Methods:
A total of 309 patients suffering ACS from June 2014 to June 2016 in The First Affiliated Hospital of Anhui Medical University were enrolled. The clinical data was studied retrospectively. All patients were divided into 3 groups based on the presence of elevated ST-segment including UA (150), STEMI (159), and NSTEMI (100). The association between potential hematological biomarkers of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), white blood cell count (WBC), monocyte percentage (MO), and platelet width (PLW) and outcome of ACS including cTnI, occlusion of coronary artery, emergent PCI, and 30-day mortality was performed.
Results:
Mean ± standard deviation was used to describe quantitative data of normal distribution. Inter-group comparison was performed by t or chi-square test and non-parametric test. M (P25, P75) was used to describe quantitative data of skewed distribution. Non-parametric tests revealed, except for PLW, there was significance between NLR, PLR, MO, and WBC and emergent PCI as well as 30-day mortality (p < 0.05). Multivariate logistic regression revealed that NLR was the best predictive factor of 30-day mortality. Meanwhile, it was found that the association between NLR, PLR, WBC, and cTnI was significant (p < 0.05).
Conclusions:
NLR is a useful and available factor in predicting outcome of ACS and more significant when combined with PLR, MO, and WBC.
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