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...
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JCDR Research and Publications Private Limited
2021-07-01
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author | Nirmal Kumar Mohanty Chhabi Satpathy Satyanarayan Routray Bijay Kumar Dash Bharavi Chunduri |
author_facet | Nirmal Kumar Mohanty Chhabi Satpathy Satyanarayan Routray Bijay Kumar Dash Bharavi Chunduri |
author_sort | Nirmal Kumar Mohanty |
collection | DOAJ |
description | 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. |
first_indexed | 2024-12-17T20:54:09Z |
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spelling | doaj.art-91ddc769c4834c7e9dec72914b9b028d2022-12-21T21:32:55ZengJCDR Research and Publications Private LimitedJournal of Clinical and Diagnostic Research2249-782X0973-709X2021-07-011507384210.7860/JCDR/2021/50045.15133A Cross-sectional Study of Atherogenic Index of Plasma and Angiographic Profile by Gensini Score in patients of Acute Coronary SyndromeNirmal Kumar Mohanty0Chhabi Satpathy1Satyanarayan Routray2 Bijay Kumar Dash3Bharavi Chunduri4Associate Professor, Department of Cardiology, Scb Medical College and Hospital, Cuttack, Odisha, IndiaAssociate Professor, Department of Cardiology, Scb Medical College and Hospital, Cuttack, Odisha, IndiaProfessor, Department of Cardiology, Scb Medical College and Hospital, Cuttack, Odisha, IndiaAssistant Professor, Department of Cardiology, Scb Medical College and Hospital, Cuttack, Odisha, IndiaDM Resident, Department of Cardiology, SCB Medical College and Hospital, Cuttack, Odisha, IndiaIntroduction: 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.https://jcdr.net/articles/PDF/15133/50045_CE[Ra1]_F[SK]_PF1(MG_SHU)_PFA(MG_KM)_PN(KM).pdf: coronary artery diseasehigh density lipoproteintriglyceride |
spellingShingle | Nirmal Kumar Mohanty Chhabi Satpathy Satyanarayan Routray Bijay Kumar Dash Bharavi Chunduri A Cross-sectional Study of Atherogenic Index of Plasma and Angiographic Profile by Gensini Score in patients of Acute Coronary Syndrome Journal of Clinical and Diagnostic Research : coronary artery disease high density lipoprotein triglyceride |
title | A Cross-sectional Study of Atherogenic Index of Plasma and Angiographic Profile by Gensini Score in patients of Acute Coronary Syndrome |
title_full | A Cross-sectional Study of Atherogenic Index of Plasma and Angiographic Profile by Gensini Score in patients of Acute Coronary Syndrome |
title_fullStr | A Cross-sectional Study of Atherogenic Index of Plasma and Angiographic Profile by Gensini Score in patients of Acute Coronary Syndrome |
title_full_unstemmed | A Cross-sectional Study of Atherogenic Index of Plasma and Angiographic Profile by Gensini Score in patients of Acute Coronary Syndrome |
title_short | A Cross-sectional Study of Atherogenic Index of Plasma and Angiographic Profile by Gensini Score in patients of Acute Coronary Syndrome |
title_sort | cross sectional study of atherogenic index of plasma and angiographic profile by gensini score in patients of acute coronary syndrome |
topic | : coronary artery disease high density lipoprotein triglyceride |
url | https://jcdr.net/articles/PDF/15133/50045_CE[Ra1]_F[SK]_PF1(MG_SHU)_PFA(MG_KM)_PN(KM).pdf |
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