Role of myeloperoxidase in early diagnosis of acute myocardial infarction in patients admitted with chest pain

Omran, Mohamed M.; Zahran, Faten; Kadry, Mohamed; Belal, A.A.M.; Emran, Tarek M.

doi:10.1080/15321819.2018.1492423

Cited by 23 publications

(25 citation statements)

References 17 publications

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“…Among patients with ACS, baseline MPO has been shown to be an independent predictor of adverse cardiac events. Omran et al 64 also found that the use of baseline levels of three biomarkers in combination (MPO, CK-MB and cTnI) could increase early diagnosis accuracy of AMI.…”

Section: Summary Of Cardiac Biomarkersmentioning

confidence: 99%

Diagnostic and prognostic value of biomarkers in acute myocardial infarction

Chen

Tao

Zhang

et al. 2019

Postgraduate Medical Journal

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The incidence of acute myocardial infarction (AMI) has been increasing rapidly in recent years, seriously endangering human health. Cardiac biomarkers play critical roles in the diagnosis and prognosis of AMI. Troponin is a highly sensitive and specific biomarker for AMI diagnosis and can independently predict adverse cardiac events. Other biomarkers such as N-terminal B-type natriuretic peptide and C reactive protein are also valuable predictors of cardiovascular prognosis. Recently, several novel biomarkers have been identified for the diagnosis and risk assessment in patients with AMI. A multibiomarker approach can potentially enhance the diagnostic accuracy and provide more information for the early risk stratification of AMI. In this review, we will summarise the biomarkers discovered in recent years and focus on their diagnostic and prognostic value for patients with AMI.

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Section: Summary Of Cardiac Biomarkersmentioning

confidence: 99%

Diagnostic and prognostic value of biomarkers in acute myocardial infarction

Chen

Tao

Zhang

et al. 2019

Postgraduate Medical Journal

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“…This theory may explain, at least in part, the increased expression of Arg-1 in our animal model. Neutrophils are also used as predictive cells in coronary heart diseases [19] and their specific marker, myeloperoxidase (MPO), is reliable when used for discriminating AMI patients [20]. Our results have demonstrated a deficient expression of neutrophil marker BPI which, together with Arg-1, IFNγ and IL4, could contribute to the diagnosis and prognosis of AMI.…”

Section: Discussionmentioning

confidence: 74%

Identification of very early inflammatory markers in a porcine myocardial infarction model

et al. 2019

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BackgroundAcute myocardial infarction (AMI) is one of the most deleterious conditions leading to cardiovascular diseases and mortality. The importance of an early and accurate diagnosis assures immediate medical treatments, which are fundamental to reduce mortality and improve prognoses. AMI is associated to an inflammatory response which includes the increase of circulating inflammatory cytokines, chemokines and immune cell activation. This study aimed to identify which are the very early immune-related biomarkers that may be used as predictors of myocardial infarction severity. In order to mimic the pathophysiological events involved in human myocardial infarction, a temporary occlusion (90 min) of the mid-left anterior descending coronary artery was performed in a swine animal model.ResultsLymphocyte subsets analysis in peripheral blood revealed significant alterations in CD4+/CD8+ ratio and naïve and effector/memory T cell percentages at 1 h post-myocardial infarction. Changes in TH1/TH2-related cytokine, monocyte and neutrophil markers gene expression were observed in peripheral blood lymphocytes, as well. Additionally, significant correlations between cardiac parameters (cardiac enzymes, left ventricular ejection fraction and % infarct) and blood-derived parameters (cytokine expression and lymphocyte subset distribution) were found.ConclusionsPeripheral blood lymphocyte alterations are easily and swiftly detectable, so they may be good biomarkers for a very early prognosis and to predict myocardial infarction severity.

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“…Receiver-Operating Characteristic (ROC) curves were processed for indexes to evaluate these indexes' diagnostic performances for differentiating between the different groups of chest pain patients. Our previously developed indexes were constructed to discriminate between the different groups of the chest pain patient; the first was; Index 1 = 2.236 (numeric constant) + 0.001 × myeloperoxidase + 0.002 × CK-MB +0.074 × troponin I [16]. and the second was; Index 2 = -0.051 (numeric constant) + 0.001* myeloperoxidase + 0.001* monocyte chemoattractant protein-1 + 0.009* CKMB + 2.5* Troponin I [15].…”

Section: Discussionmentioning

confidence: 99%

“…ROC curves assessing the diagnostic values of the novel indexes CK-MB-HDL ratio and Troponin I-HDL ratio compared with our previous indexes [15,16], were constructed to discover the best index to discriminate the different groups of chest pain patients ( Table 3).…”

Section: The Diagnostic Value Of the Novel Indexes; Ck-mb-hdl Ratio Amentioning

confidence: 99%

The Diagnostic Accuracy of Cardiac Enzymes-Lipid Profile Ratio for Diagnosing Coronary Heart Disease in Chest Pain Patients

Kadry¹,

Zahran²,

Emran³

et al. 2021

TOBIOCJ

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Background: Lipid abnormalities increase Coronary Heart Disease (CHD) risk. Our developed indexes 1,2 were reported in scientific Journals. Here, we verified and evaluated the cardiac enzymes-lipid profile ratio's diagnostic value for diagnosing CHD patients. Methods: Lipid profiles and cardiac enzymes were estimated in all chest pain patients. The area under the receiver-operating characteristic curve (AUC) was used to evaluate the markers' diagnostic accuracy. Results: There were varieties of significant differences (P < 0.01- P < 0.0001) of Creatine Kinase MB (CK-MB) - lipid profile ratio and Troponin I-lipid profile ratio within the groups of chest pain patients. For discriminating between Non-Coronary Chest Pain (NCCP) and Stable Angina (SA) groups, the AUCs were the greatest for CK-MB- High-density Lipoprotein (HDL) ratio (0.62) and for Troponin I-HDL (0.62). Moreover, for discriminating between NCCP and Unstable Angina (UA) groups, the AUC was the greatest for CK-MB-HDL ratio (0.97). Also, for discriminating between NCCP and Acute Myocardial Infarction (AMI) groups, the AUC was the greatest for index 2 (0.99). Similarly, for discriminating between SA and UA groups, the AUC was the greatest for CK-MB-HDL ratio (0.90). For discriminating between SA and AMI groups, the AUC was the greatest for index 2 (0.97). Finally, for discriminating between UA and AMI groups, the AUC was the greatest for index 2 (0.78). Conclusion: Independent CK-MB-HDL ratio can be used as a good and simple index for diagnosing CHD in chest pain patients and discriminating between the different groups of these patients

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Role of myeloperoxidase in early diagnosis of acute myocardial infarction in patients admitted with chest pain

Cited by 23 publications

References 17 publications

Diagnostic and prognostic value of biomarkers in acute myocardial infarction

Diagnostic and prognostic value of biomarkers in acute myocardial infarction

Identification of very early inflammatory markers in a porcine myocardial infarction model

The Diagnostic Accuracy of Cardiac Enzymes-Lipid Profile Ratio for Diagnosing Coronary Heart Disease in Chest Pain Patients

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