Cargando…

A Study on Acute Myocardial Infarction and Its Prognostic Predictors

Introduction Acute Myocardial Infarction (AMI) is a serious cardiac event characterized by the sudden death of heart muscle tissue due to the obstruction of blood flow to the heart. It is a leading cause of death and disability worldwide. The relationship between AMI and serum uric acid levels is an...

Descripción completa

Detalles Bibliográficos
Autores principales: Sathvik, Manduri, Kalva, Eswar Chand Satyendra Sai, Suma, Gonji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10005819/
https://www.ncbi.nlm.nih.gov/pubmed/36909023
http://dx.doi.org/10.7759/cureus.34775
_version_ 1784905171784957952
author Sathvik, Manduri
Kalva, Eswar Chand Satyendra Sai
Suma, Gonji
author_facet Sathvik, Manduri
Kalva, Eswar Chand Satyendra Sai
Suma, Gonji
author_sort Sathvik, Manduri
collection PubMed
description Introduction Acute Myocardial Infarction (AMI) is a serious cardiac event characterized by the sudden death of heart muscle tissue due to the obstruction of blood flow to the heart. It is a leading cause of death and disability worldwide. The relationship between AMI and serum uric acid levels is an area of ongoing research. Serum uric acid is a byproduct of purine metabolism and is typically present in the blood at low levels. Elevated levels of uric acid have been linked to several cardiovascular risk factors, including hypertension, diabetes, and hyperlipidemia. This has led to the investigation of the relationship between uric acid levels and AMI. Materials and Methods In this study, 100 individuals who were presented with acute myocardial infarction were included. All patients were categorized into four Killip’s classes based on history, clinical examination, and lab investigation. Subsequently, the four Killip’s classes were co-related with the serum uric acid of the patient. Results Serum uric acid levels were high in males compared to females. serum uric acid levels were high in Killip’s class III (7.24) and IV (7.57) compared to class I (4.48) and II (5.26). There was no significant correlation between serum uric acid and the co-morbidities like diabetes and hypertension, with a p-value of 0.48. Conclusion An increase in Killip Class is positively correlated with an increase in blood uric acid levels. Uric acid can therefore be utilized as a prognostic indicator in individuals who present with myocardial infarction.
format Online
Article
Text
id pubmed-10005819
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Cureus
record_format MEDLINE/PubMed
spelling pubmed-100058192023-03-11 A Study on Acute Myocardial Infarction and Its Prognostic Predictors Sathvik, Manduri Kalva, Eswar Chand Satyendra Sai Suma, Gonji Cureus Cardiology Introduction Acute Myocardial Infarction (AMI) is a serious cardiac event characterized by the sudden death of heart muscle tissue due to the obstruction of blood flow to the heart. It is a leading cause of death and disability worldwide. The relationship between AMI and serum uric acid levels is an area of ongoing research. Serum uric acid is a byproduct of purine metabolism and is typically present in the blood at low levels. Elevated levels of uric acid have been linked to several cardiovascular risk factors, including hypertension, diabetes, and hyperlipidemia. This has led to the investigation of the relationship between uric acid levels and AMI. Materials and Methods In this study, 100 individuals who were presented with acute myocardial infarction were included. All patients were categorized into four Killip’s classes based on history, clinical examination, and lab investigation. Subsequently, the four Killip’s classes were co-related with the serum uric acid of the patient. Results Serum uric acid levels were high in males compared to females. serum uric acid levels were high in Killip’s class III (7.24) and IV (7.57) compared to class I (4.48) and II (5.26). There was no significant correlation between serum uric acid and the co-morbidities like diabetes and hypertension, with a p-value of 0.48. Conclusion An increase in Killip Class is positively correlated with an increase in blood uric acid levels. Uric acid can therefore be utilized as a prognostic indicator in individuals who present with myocardial infarction. Cureus 2023-02-08 /pmc/articles/PMC10005819/ /pubmed/36909023 http://dx.doi.org/10.7759/cureus.34775 Text en Copyright © 2023, Sathvik et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Cardiology
Sathvik, Manduri
Kalva, Eswar Chand Satyendra Sai
Suma, Gonji
A Study on Acute Myocardial Infarction and Its Prognostic Predictors
title A Study on Acute Myocardial Infarction and Its Prognostic Predictors
title_full A Study on Acute Myocardial Infarction and Its Prognostic Predictors
title_fullStr A Study on Acute Myocardial Infarction and Its Prognostic Predictors
title_full_unstemmed A Study on Acute Myocardial Infarction and Its Prognostic Predictors
title_short A Study on Acute Myocardial Infarction and Its Prognostic Predictors
title_sort study on acute myocardial infarction and its prognostic predictors
topic Cardiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10005819/
https://www.ncbi.nlm.nih.gov/pubmed/36909023
http://dx.doi.org/10.7759/cureus.34775
work_keys_str_mv AT sathvikmanduri astudyonacutemyocardialinfarctionanditsprognosticpredictors
AT kalvaeswarchandsatyendrasai astudyonacutemyocardialinfarctionanditsprognosticpredictors
AT sumagonji astudyonacutemyocardialinfarctionanditsprognosticpredictors
AT sathvikmanduri studyonacutemyocardialinfarctionanditsprognosticpredictors
AT kalvaeswarchandsatyendrasai studyonacutemyocardialinfarctionanditsprognosticpredictors
AT sumagonji studyonacutemyocardialinfarctionanditsprognosticpredictors