Exploring the Intersections between Triglyceride-rich Lipoproteins and Acute Coronary Syndrome: A Cross-sectional Study

TRL-C is significantly associated with the severity of ACS, with higher levels correlating with more severe forms of the condition. Despite the use of statins, TRL-C levels remained a significant predictor of ACS severity, suggesting that TRL-C could be a valuable marker for assessing cardiovascular risk beyond traditional lipid profiles. Further research is needed to explore the role of TRL-C in recurrent ACS and its potential utility in refining treatment strategies.

Authors

Institutions

Publication Details

Journal
Annals of African Medicine
Published
2025-03-11
DOI
https://doi.org/10.4103/aam.aam_256_24
Primary Topic
Cancer, Lipids, and Metabolism
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the Intersections between Triglyceride-rich Lipoproteins and Acute Coronary Syndrome: A Cross-sectional Study

Sachin Shivnitwar, Saurabh Ashok Sujanyal, Sumantra Raut, Prasad Chandrakant Bagare et al.
Annals of African Medicine
Cancer, Lipids, and Metabolism
article

Exploring the Intersections between Triglyceride-rich Lipoproteins and Acute Coronary Syndrome: A Cross-sectional Study

Sachin Shivnitwar, Saurabh Ashok Sujanyal, Sumantra Raut, Prasad Chandrakant Bagare, Priya Baluni
article en

Abstract

TRL-C is significantly associated with the severity of ACS, with higher levels correlating with more severe forms of the condition. Despite the use of statins, TRL-C levels remained a significant predictor of ACS severity, suggesting that TRL-C could be a valuable marker for assessing cardiovascular risk beyond traditional lipid profiles. Further research is needed to explore the role of TRL-C in recurrent ACS and its potential utility in refining treatment strategies.

Annals of African MedicineVol. 24(2)
Dr. D. Y. Patil Medical College, Hospital and Research Centre (IN)
Good health and well-being
Openalex Percentile: Top 95%
Cancer, Lipids, and Metabolism
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.