Pattern of Dyslipidemia in Patients with Acute Coronary Syndrome in a Cardiac hospital in Nepal

Background: Dyslipidemia is defined as an abnormal concentration of lipids in the blood and is a critical modifiable risk factor for the development of cardiovascular diseases, including acute coronary syndrome (ACS). The aim of the study was to determine the pattern of dyslipidemia among patients with Acute Coronary Syndrome admitted to a cardiac hospital. Methodology: This is a cross-sectional study including consequent 143 patients admitted to Chitwan Mutu Aspatal with a diagnosis of acute coronary syndrome. The study was conducted from July 2021 to Jan 2024 over a period of 2.5years. The patient’s lipid levels were taken within 24 hours from the onset of Acute Coronary Syndrome. Results: Out of total of 143 patients, dyslipidemia was found in majority of patients with low HDL in 92(64.30%) in our study. 53 (37.1%) were females and 90 (62.9%) were males. The mean age of the patients was 62.3013.03 SD (in years). Patients with STEMI had maximum elevation of LDL (52.9%) compared with those having NSTEMI in 44.4% and 31% in Unstable angina patients. Also, low HDL level was detected in the majority of the patients across all spectrum of ACS patients which was statistically significant (p<0.05). Conclusion: There is a higher prevalence of low HDL-C and high prevalence of LDL-C among the Nepalese population presenting with acute coronary syndrome (ACS) in the hospital

Authors

Institutions

Publication Details

Journal
Journal of National Heart and Lung Society Nepal
Published
2024-12-21
DOI
https://doi.org/10.3126/jnhls.v3i2.72292
Primary Topic
Lipoproteins and Cardiovascular Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pattern of Dyslipidemia in Patients with Acute Coronary Syndrome in a Cardiac hospital in Nepal

Shankar Laudari, Hari Prasad Upadhyay, Kiran Poudel, Sujal Bhurtyal
Journal of National Heart and Lung Society Nepal
Lipoproteins and Cardiovascular Health
article

Pattern of Dyslipidemia in Patients with Acute Coronary Syndrome in a Cardiac hospital in Nepal

Shankar Laudari, Hari Prasad Upadhyay, Kiran Poudel, Sujal Bhurtyal
article en

Abstract

Background: Dyslipidemia is defined as an abnormal concentration of lipids in the blood and is a critical modifiable risk factor for the development of cardiovascular diseases, including acute coronary syndrome (ACS). The aim of the study was to determine the pattern of dyslipidemia among patients with Acute Coronary Syndrome admitted to a cardiac hospital. Methodology: This is a cross-sectional study including consequent 143 patients admitted to Chitwan Mutu Aspatal with a diagnosis of acute coronary syndrome. The study was conducted from July 2021 to Jan 2024 over a period of 2.5years. The patient’s lipid levels were taken within 24 hours from the onset of Acute Coronary Syndrome. Results: Out of total of 143 patients, dyslipidemia was found in majority of patients with low HDL in 92(64.30%) in our study. 53 (37.1%) were females and 90 (62.9%) were males. The mean age of the patients was 62.3013.03 SD (in years). Patients with STEMI had maximum elevation of LDL (52.9%) compared with those having NSTEMI in 44.4% and 31% in Unstable angina patients. Also, low HDL level was detected in the majority of the patients across all spectrum of ACS patients which was statistically significant (p<0.05). Conclusion: There is a higher prevalence of low HDL-C and high prevalence of LDL-C among the Nepalese population presenting with acute coronary syndrome (ACS) in the hospital

Journal of National Heart and Lung Society NepalVol. 3(2)
Tribhuvan University (NP)
Good health and well-being
Openalex Percentile: Top 55%
Lipoproteins and Cardiovascular Health
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.