Evidence map›Paper›PMID 39525120›Full record

ArticleCureus2024

Evaluating Dyslipidemia and Atherogenic Indices as Predictors of Coronary Artery Disease Risk: A Retrospective Cross-Sectional Study.

Joyce S Jose, Karra Madhu Latha, Aparna V Bhongir, Sangeetha Sampath, Anand K Pyati

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Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Joyce S JoseBiochemistry, All India Institute of Medical Sciences, Bibinagar, Hyderabad, IND.
Karra Madhu LathaBiochemistry, All India Institute of Medical Sciences, Bibinagar, Hyderabad, IND.
Aparna V BhongirBiochemistry, All India Institute of Medical Sciences, Bibinagar, Hyderabad, IND.
Sangeetha SampathBiochemistry, All India Institute of Medical Sciences, Bibinagar, Hyderabad, IND.
Anand K PyatiBiochemistry, All India Institute of Medical Sciences, Bibinagar, Hyderabad, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe frequency of coronary artery disease (CAD) has alarmingly increased in India accounting for the majority of all fatalities. The primary risk factor for CAD, acute myocardial infarction, and stroke is dyslipidemia. CAD risk can be ascertained by the lipid profile as well as atherogenic risk indices. Due to the current scenario of increased CAD prevalence and the established role of dyslipidemia as a risk factor for CAD, this study aimed at identifying the prevalent lipid abnormalities in a tertiary care hospital in Telangana and studying the predictive value of atherogenic indices for assessing CAD risk.

methodsThis is a retrospective cross-sectional study. Data pertaining to the subjects from January 2021 to December 2021 was retrieved from the hospital records.

resultsSerum triglycerides (TG) were in the higher range for 47 % (n= 235) of total subjects and isolated Low-density lipoprotein (LDL) was higher in 12.6% (n = 63). The overall burden of dyslipidemia was 72.20% (n=361) with 57.6 % (n=208) in males and 42.4% (n=153) in females). The most common dyslipidemia found was Familial Combined Hyperlipidemia in 42.8% (n=214) of individuals. The second most common pattern of dyslipidemia was Primary Familial Hypercholesterolemia which was observed in 25% (n=125) of subjects. Dysbetalipoproteinemia was seen in 24.2% (n=121) of the study subjects. ROC analysis found the Atherogenic Coefficient (AC) to be the most sensitive and specific cardiovascular risk index. 57.8% of the subjects had AC >2.44 and were at the highest risk for developing CAD.

conclusionsThe overall burden of dyslipidemia was 72.2%. AC was found to be the most sensitive and specific cardiovascular risk index by ROC curve analysis. Around 57.8% of the subjects had AC >2.44 and were at the highest risk for developing CAD. This study emphasizes the importance of atherogenic indices in the primary prevention and management of CAD, a growing non-communicable disease.

Indexed as

atherogenic coefficientatherogenic indicescardiovascular diseasecoronary artery disease (cad)dyslipidemiahypercholesterolemiahypertriglyceridemialipid profilenon-hdl

Identifiers

PMID39525120
PMCPMC11550104

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.