The Importance of Serum Uric Acid Levels and Killip Classification in Predicting Prognosis of Acute Myocardial Infarction

Author:

B.G. Shivakumar,N Shivakumar,Gosavi Siddharth,Shastry Shashank

Abstract

BACKGROUND The study was conducted in an attempt to correlate serum uric acid levels with Killip class i.e. severity of heart failure in patients with acute myocardial infarction and to assess any influence of serum uric acid levels on predicting prognosis in patients with acute myocardial infarction. Ischaemic heart disease, particularly acute myocardial infarction is one of the leading causes of death across the world accounting for 12.7 % of global mortality. Low and middle-income countries are facing 80 % of the global burden of ischaemic heart disease death. Since the pathophysiology of acute myocardial infarction is complicated, proper risk stratification is essential for appropriate management and better outcome. Serum uric acid levels (SUA) have been correlated with coronary artery calcification and atherosclerosis. High SUA levels also have been identified as a risk marker for cardiovascular disease development, progression and mortality. METHODS The study design was a one-year cross-sectional study. 100 patients admitted with acute myocardial infarction within one day of the start of symptoms in the Department of Cardiology & Medicine were included from September 2018 to September 2019. In this study, patients with known causes of elevated uric acid levels (chronic kidney disease, gout, haematological malignancy, hypothyroidism, metabolic syndrome, myeloproliferative disease, lymphoproliferative disease, drugs– pyrazinamide, diuretics, ethambutol, ethanol, malignancy, G6PD deficiency and psoriasis) were included. Patients on drugs which raise serum uric acid e.g., salicylates (2 gm / d, hydrochlorothiazide, pyrazinamide), and chronic alcoholics were not included. Patients were further subjected to investigations like serum uric acid, ECG, 2D echo and other routine investigations. Urine albumin levels, troponin I, chest x-ray, fundoscopy, and fasting lipid profile were done. Investigation reports were analysed with the clinical profile and the data was compiled and appropriate statistical test was applied. RESULTS There were more cases of myocardial infarction above 40 years as compared to below 40 years of age and males (69 %) were more as compared to females (31 %) with the commonest presentation as chest pain. Majority of the patients had inferior wall myocardial infarction (IWMI) (40 %) and most (91 %) of the patients had left ventricular (LV) dysfunction (mild, moderate and severe). More patients with Killip class III and IV had abnormal uric acid levels as compared to class I, and II. Among 27 patients who expired, 23 were in Killip class III and IV (13 in Killip class III and 10 in class IV) and the mean serum uric acid levels of expired patients were elevated on all the 3 days with maximum elevation on day 1. CONCLUSIONS Patients with higher Killip class had higher levels of serum uric acid in comparison to patients of lower Killip class. Serum uric acid level in association with Killip class is a good predictor of the severity of heart failure and short-term mortality after myocardial infarction.

Publisher

Akshantala Enterprises Private Limited

Subject

General Medicine

Reference17 articles.

1. [1] Kasper D, Fausi AS, Longo DL. Harrisons principle of internal medicine. 17th edn. New York: McGraw Hill 2005.

2. Regional variations in cardiovascular risk factors in India: India heart watch;Gupta;World J Cardiol,2012

3. Predicting irreversible left ventricular dysfunction after acute myocardial infarction;Frisch;Am J Cardiol,2009

4. Cardiogenic shock: current concepts and improving outcomes;HR;Circulation,2008

5. A two-year experience with 250 patients;Killip;Am J Cardiol,1967

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Prognostic Value of Machine Learning in Patients with Acute Myocardial Infarction;Journal of Cardiovascular Development and Disease;2022-02-11

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