RESEARCH ARTICLE
The Diagnostic Accuracy of Cardiac Enzymes-Lipid Profile Ratio for Diagnosing Coronary Heart Disease in Chest Pain Patients
Mohamed Kadry1, Faten M. Zahran2, Tarek M. Emran3, Mohamed M. Omran4, *
Article Information
Identifiers and Pagination:
Year: 2021Volume: 15
First Page: 20
Last Page: 25
Publisher ID: TOBIOCJ-15-20
DOI: 10.2174/1874091X02115010020
Article History:
Received Date: 15/6/2020Revision Received Date: 30/12/2020
Acceptance Date: 21/1/2021
Electronic publication date: 22/03/2021
Collection year: 2021
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
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
