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, *
Identifiers and Pagination:Year: 2021
First Page: 20
Last Page: 25
Publisher Id: TOBIOCJ-15-20
Article History:Received Date: 15/6/2020
Revision 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.
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.
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.
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).
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