Association of atherogenic indices with C-reactive protein and risk factors to assess cardiovascular risk in rheumatoid arthritis patient at Tikur Anbessa Specialized Hospital, Addis Ababa

Author:

Dessie GashawORCID

Abstract

Background Rheumatoid arthritis (RA) is an autoimmune systemic chronic inflammatory disorder, which is characterized by joint stiffness, damage, and destruction of bone. In RA patients, the risk of cardiovascular disease is increased by 2–3 folds as compared to the general population. The major burden of RA is the development of cardiovascular diseases, including congestive heart failure, stroke, and myocardial infarction. Objectives Assessment of the association of atherogenic indices with C-reactive protein to evaluate CVD risk was one of the purposes of this study. In addition, the association of atherogenic indices with elevated levels of cardiovascular risk factors (LDL-C and TG) was another aim of this study. Methods The preferred study design for this study was a hospital based comparative cross-sectional study method. Data were cleaned, coded, and entered into Epi Data version 4.6 software, and exported to SPSS version 20 for further analysis of atherogenic indices, C-reactive protein, and risk factors. The comparison of atherogenic indices and other variables among the case and control groups was estimated by the independent t-test statistical analysis method. All variables with a p-value less than 0.2 during binary linear regression analysis were selected for multinomial logistic regression analysis. The association of atherogenic indices with C-reactive protein and risk factors was computed using multiple logistic regressions. The data were presented using tables and figures for clarification of the study. Results The levels of atherogenic indices were computed for both RA patients and the control group. The values of atherogenic indices were significantly associated with cardiovascular risk factor (CRP ≥ 2mg/L). Atherogenic index of plasma (AIP) and TC/HDL-C ratio had a statistically significant association with an elevated levels of triglycerides (P<0.01). The TC/HDL-Cratio value of the patient had 2.38 folds more likely to have an elevated low density lipoprotein level. In addition, AIP of RA patients had 57.51 and 23.65 folds more to have elevated low density lipoprotein and triglycerides respectively. Conclusions The result of this study showed that TC/HDL-C, LDL/HDL-C ratio values, and atherogenic index of plasma had a statistically significant association with elevated level of low density lipoprotein and triglycerides. In addition to this, they have a statistically significant association with the level of C-reactive protein. There was a highly significant statistical association between atherogenic indices, elevated low density lipoprotein, and triglycerides values. Therefore, the result of this finding confirmed that atherogenic indices have a potential role in the prediction and management of CVD risk in RA patients.

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference33 articles.

1. A Comparative Study of Lipid Profile and Atherogenic Index of Plasma among Women with Rheumatoid Arthritis and without Rheumatoid Arthritis;S Thota;JMSCR,2018

2. The impact of disease activity in patients with rheumatoid arthritis on metabolic syndrome and cardiovascular risk assessment;I Aleksić;Acta facultatis medicae Naissensis,2019

3. Cardiovascular risk assessment and therapeutic implications in rheumatoid arthritis;J Halacoglu;Journal of cardiovascular translational research,2020

4. The JAK–STAT pathway: an emerging target for cardiovascular disease in rheumatoid arthritis and myeloproliferative neoplasms;C Baldini;European Heart Journal,2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3