A Cross-sectional Study of Atherogenic Index of Plasma and Angiographic Profile by Gensini Score in patients of Acute Coronary Syndrome
Introduction: Coronary Artery Disease (CAD) is the leading cause of death worldwide. India has the highest burden of Acute Coronary Syndrome (ACS). Atherogenesis is a multifactorial process, abnormalities in lipoprotein metabolism especially elevated Low Density Lipoprotein Cholesterol (LDLc) re...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JCDR Research and Publications Private Limited
2021-07-01
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| Series: | Journal of Clinical and Diagnostic Research |
| Subjects: | |
| Online Access: | https://jcdr.net/articles/PDF/15133/50045_CE[Ra1]_F[SK]_PF1(MG_SHU)_PFA(MG_KM)_PN(KM).pdf |
| Summary: | Introduction: Coronary Artery Disease (CAD) is the leading
cause of death worldwide. India has the highest burden of Acute
Coronary Syndrome (ACS). Atherogenesis is a multifactorial
process, abnormalities in lipoprotein metabolism especially
elevated Low Density Lipoprotein Cholesterol (LDLc) remains
one of most attributing key factor. Atherogenic Index of Plasma
(AIP), can be calculated easily from the formula AIP=Log 10
Triglyceride (TG)/High Density Lipoprotein Cholesterol (HDLc).
The AIP is inversely proportional to the diameter of LDLc
particles, which indirectly reflects Small Dense LDLc levels. AIP
has been proposed as a marker for Cardiovascular (CV) risk.
Aim: The study aimed to assess the correlation between AIP
and the Angiographic Profile by Gensini Score (GS) in ACS
patients and also to evaluate the relationship between AIP and
in-hospital mortality of ACS patients.
Materials and Methods: This study was a hospital based crosssectional study. This study was done from November 2019 to
October 2020 in the Department of Cardiology, Sriram Chandra
Bhanja Medical College, Odisha, India. A total of 240 patients
of ACS were included in the study. AIP was calculated from the
lipid profile of all the ACS patients. Coronary Angiography was
done in all of these patients. Correlation of the AIP was done
with the severity of CAD according to Gensini scoring system.
Chi-square test was used to compare continuous variables
p<0.05 was considered significant. Spearman’s rho correlation
was also used to compare AIP with GS. Statistical analysis was
performed using Statistical Package for the Social Sciences,
(SPSS) 26 (IBM).
Results: Majority of the cases were males 194 (80.8%) and
females were 46 (19.2%). The Spearmans rho coefficient
between AIP and GS was 0.663. It was statistically significant
(p<0.001). AIP had positive correlation (value) with severity of
CAD by GS. In-hospital mortality was 5%. It was more in high
risk AIP group with a p-value of 0.006 which was statistically
significant.
Conclusion: AIP shows positive correlation with the severity of
CAD in terms of GS. High AIP is also associated with increased
in-hospital mortality. AIP can be used in the treatment of
ACS patients and is a suitable alternative to various costly
biomarkers of CAD. Therefore, AIP can be advocated for routine
measurement in clinical practice. |
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| ISSN: | 2249-782X 0973-709X |