Incidence of Hyperuricemia in Patients with Acute Myocardial Infarction – A Case-Control Study

Mal, Kheraj; Ali, Jamila Begum Jabar; Fatima, Kiran; Rizwan, Amber

doi:10.7759/cureus.6722

Cited by 5 publications

(5 citation statements)

References 18 publications

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“…A population study based on big data showed that from 2014 to 2017, the prevalence rate of HUA in Chinese adults increased from 18.29 to 23.06% 3 . At present, there were many studies to show that HUA is positively correlated with hypertension 4 , diabetes 5 , metabolic syndrome 6 , acute myocardial infarction 7 , coronary heart disease 8 , acute kidney injury 9 , chronic kidney disease 10 , high incidence of cancer and mortality 11 . However, there is still a lack of evidence on whether lowering uric acid can improve the prognosis of related diseases 12 , 13 .…”

Section: Introductionmentioning

confidence: 99%

A simple prediction model of hyperuricemia for use in a rural setting

Shi¹,

Chen²,

Yang

et al. 2021

Sci Rep

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Currently, the most widely used screening methods for hyperuricemia (HUA) involves invasive laboratory tests, which are lacking in many rural hospitals in China. This study explored the use of non-invasive physical examinations to construct a simple prediction model for HUA, in order to reduce the economic burden and invasive operations such as blood sampling, and provide some help for the health management of people in poor areas with backward medical resources. Data of 9252 adults from April to June 2017 in the Affiliated Hospital of Guilin Medical College were collected and divided randomly into a training set (n = 6364) and a validation set (n = 2888) at a ratio of 7:3. In the training set, non-invasive physical examination indicators of age, gender, body mass index (BMI) and prevalence of hypertension were included for logistic regression analysis, and a nomogram model was established. The classification and regression tree (CART) algorithm of the decision tree model was used to build a classification tree model. Receiver operating characteristic (ROC) curve, calibration curve and decision curve analyses (DCA) were used to test the distinction, accuracy and clinical applicability of the two models. The results showed age, gender, BMI and prevalence of hypertension were all related to the occurrence of HUA. The area under the ROC curve (AUC) of the nomogram model was 0.806 and 0.791 in training set and validation set, respectively. The AUC of the classification tree model was 0.802 and 0.794 in the two sets, respectively, but were not statistically different. The calibration curves and DCAs of the two models performed well on accuracy and clinical practicality, which suggested these models may be suitable to predict HUA for rural setting.

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Section: Introductionmentioning

confidence: 99%

A simple prediction model of hyperuricemia for use in a rural setting

Shi¹,

Chen²,

Yang

et al. 2021

Sci Rep

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“…Elevated concentrations of UA not only lead to the deposition of sodium urate crystals in periarticular tissues, but also within the walls of blood vessels, and the presence of these deposits in the blood vessel walls has the consequence of the presence of these deposits in the vascular wall is damage to the vascular endothelium, which promotes atherosclerotic lesions and leads to the development of ACS. In a recent study [16] from Pakistan, it was confirmed that in patients with AMI, SUA levels were higher in the test group than in the control group and the number of patients with HUA was also higher than in the control group. HUA has been linked to the development of other diseases which are known risk factors for ACS such as hypertension, dyslipidemia, obesity, metabolic syndrome and chronic kidney disease.…”

Section: Discussionmentioning

confidence: 82%

Correlation Study between Body Mass Index and Serum Uric Acid Level in Patients with ST-segment Elevation Myocardial Infarction

He,

Qin,

Yang

et al. 2024

IJBLS

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Background Although significant progress has been made in the treatment of acute ST-segment elevation myocardial infarction, acute myocardial infarction remains a common cause of heart failure, and the correlation between body mass index and serum uric acid levels in patients with acute ST-segment elevation myocardial infarction is unclear. Objective To analyze the relationship between body mass index and serum uric acid levels in hospitalized patients with acute ST-segment elevation myocardial infarction and to preliminarily investigate whether body mass index is independently associated with serum uric acid levels in patients with myocardial infarction. Methods This was a retrospective study. Patients with acute ST-segment elevation myocardial infarction hospitalized in the Department of Cardiology from January 2022 to December 2022 were selected. General information gender, age, height, weight, blood pressure, body mass index, history and related metabolic indexes were collected and recorded, and Spearman correlation analysis was used to analyze the correlation between body mass index and serum uric acid, and to analyze the independent risk factors of patients with acute ST-segment elevation myocardial infarction according to linear regression. Results A total of 875 patients with acute ST-segment elevation myocardial infarction were collected in this study, with a mean age of (62.22±12.06) years, of which 73.6% were men and 26.4% were women. The mean body mass index was (25.00±3.93) kg/m2 and the mean serum uric acid was (297.72±95.37) μmol/l. Spearman's correlation analysis showed a negative correlation between age, left ventricular ejection fraction, and serum uric acid, and a significant positive correlation between cardiac function, triglycerides, body mass index, and serum uric acid in patients with acute ST-segment elevation myocardial infarction. significant positive correlation. Linear regression models showed that gender, hypertension, cardiac function, triglycerides, left ventricular ejection fraction and body mass index were independent risk factors for serum uric acid in patients with acute ST-segment elevation myocardial infarction. Conclusion Body mass index is associated with the development and progression of hyperuricemia in patients with acute ST-segment elevation myocardial infarction, and the higher the body mass index, the higher the serum uric acid level in patients with acute ST-segment elevation myocardial infarction. Clinical weight management is needed for patients with acute ST-segment elevation myocardial infarction, and patients with acute ST-segment elevation myocardial infarction who have a normal body mass index are encouraged to maintain their current weight.

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“…The patients with myocardial infarction exhibited significantly elevated uric acid levels compared to the control group (p<0.001). A case-control study conducted by Mal et al [17] found that, out of 200 people, 80 patients (about 40%) with acute myocardial infarction had hyperuricemia, which is characterized by very high uric acid levels in the bloodstream. The incidence of hyperuricemia in the control group (n=200) without acute myocardial infarction was 25% (n=50) (p<0.05).…”

Section: Discussionmentioning

confidence: 99%

Ceruloplasmin, Vitamin C, and Uric Acid Levels in Patients With Myocardial Infarction: A Comparative Cross-Sectional Study

Warjukar,

Paunipagar,

Timalsina

et al. 2024

Cureus

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Introduction: Global mortality is significantly influenced by myocardial infarction. Scientists have examined the role of the copper-containing protein ceruloplasmin in heart attacks. It helps to regulate oxidative stress, iron metabolism, and inflammation. Vitamin C's antioxidative qualities lend credence to the idea that it could help prevent cardiovascular disease. Several studies have shown that elevated uric acid levels are related to a higher risk of myocardial infarction. With this background, we conducted this study to estimate levels of ceruloplasmin, vitamin C, and uric acid in patients with myocardial infarction.Materials and methods: A tertiary care hospital in central India carried out this comparative cross-sectional study. The study was conducted between December 2022 and April 2023. Patients of any gender with newly diagnosed myocardial infarction who received admission to the intensive care unit and had ST-segment elevation of at least 2 mm in two or more consecutive electrocardiogram leads were included in the patient group. The control group consisted of individuals who did not exhibit any changes associated with myocardial infarction. Based on sex, age, and body mass index, the 75 control and 75 patients were matched. Ceruloplasmin, vitamin C, and uric acid were analyzed and compared.Results: The uric acid levels among the patient group were 10.34 ± 3.23 mg/dL, and among the controls, they were 3.45 ± 1.12 mg/dL (p<0.001). The ceruloplasmin levels among the patient group were 64.34 ± 4.21 mg/dL, and among the controls, they were 29.23 ± 3.82 mg/dL (p<0.001). The vitamin C levels among the patient group were 13.80 ± 0.94 μmol/L, and among the controls, they were 45.62 ± 4.34 μmol/L (p<0.001). Conclusion:The patients with myocardial infarction demonstrated significantly elevated levels of ceruloplasmin and uric acid, while their vitamin C levels were lower in comparison. It is crucial to comprehend the underlying mechanisms through which these parameters influence the development of myocardial infarction.

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Incidence of Hyperuricemia in Patients with Acute Myocardial Infarction – A Case-Control Study

Cited by 5 publications

References 18 publications

A simple prediction model of hyperuricemia for use in a rural setting

A simple prediction model of hyperuricemia for use in a rural setting

Correlation Study between Body Mass Index and Serum Uric Acid Level in Patients with ST-segment Elevation Myocardial Infarction

Ceruloplasmin, Vitamin C, and Uric Acid Levels in Patients With Myocardial Infarction: A Comparative Cross-Sectional Study

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