Association of atherogenic indices and triglyceride-total cholesterol-body weight index (TCBI) with severity of stenosis in patients undergoing angiography: a case-control study
Objectives Coronary artery disease, caused by atherosclerosis, necessitates assessing plaque formation risk using indices like the atherogenic index of plasma (AIP), Castelli’s risk indexes (CRI-I and CRI-II), the atherogenic coefficient (AC), and the triglyceride-total cholesterol-body weight index...
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Published in | BMC research notes Vol. 18; no. 1; pp. 180 - 9 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
BioMed Central
17.04.2025
BioMed Central Ltd BMC |
Subjects | |
Online Access | Get full text |
ISSN | 1756-0500 1756-0500 |
DOI | 10.1186/s13104-025-07203-5 |
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Summary: | Objectives
Coronary artery disease, caused by atherosclerosis, necessitates assessing plaque formation risk using indices like the atherogenic index of plasma (AIP), Castelli’s risk indexes (CRI-I and CRI-II), the atherogenic coefficient (AC), and the triglyceride-total cholesterol-body weight index (TCBI). Although TCBI primarily assesses mortality risk, its relationship with stenosis severity is unclear. Utilizing data from a prior study, a case-control analysis was conducted on 1,187 subjects, which included 781 patients who underwent coronary angiography and 406 healthy controls. The indices were compared across varying degrees of arterial blockages.
Results
AIP significantly correlated with stenosis severity in women, increasing the risk of three-vessel stenosis by 2.5 times. AC raised the risk of single-vessel stenosis in men by 2.7 times. CRI-I and CRI-II showed a positive relationship with arterial stenosis in women, with CRI-I increasing the risk of two and three-vessel blockages by 21.9% and 22.4%, respectively. A one-unit increase in CRI-II raised the risk by 33.1% for two arteries and 25.3% for three. In conclusion, AIP, CRI-I, and CRI-II in women, along with AC in men, correlated with arterial stenosis severity, while TCBI did not. Further research is needed to determine which index is most effective in predicting CAD risk.
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 1756-0500 1756-0500 |
DOI: | 10.1186/s13104-025-07203-5 |