Correction: Variations in Predictive Value of Serum Uric Acid for Major Adverse Cardiovascular Events by Gender in Acute Coronary Syndrome Patients: A Retrospective Cohort Analysis

By
Cuimei Guo
Nan Lin
Ailin Cao
Chaoxin Han
Qifeng Jin
Yan Liu
Xinxin Bian
Fengyi Shan
Zhongxu Sun
Shaohui Zhang
Xueying Chen
December 22, 2025

Bmc Cardiovascular Disorders

Overview

This correction addresses the predictive value of serum uric acid (SUA) for major adverse cardiovascular events (MACE) in acute coronary syndrome (ACS) patients, highlighting gender differences. The corrected figures provide clarity on the data presented in the original study.

Background

Understanding the role of SUA in predicting cardiovascular outcomes is crucial, especially given the high morbidity and mortality associated with cardiovascular diseases. Recent studies have indicated that SUA levels may correlate with adverse cardiovascular events, yet guidelines have not standardized its use in risk stratification for ACS. This topic is particularly relevant as it may influence clinical decision-making and patient management strategies.

Data Highlights

No numerical or trial data is presented in this correction.

Key Findings

The correction addresses inaccuracies in the figures presented in the original publication.
Gender differences in the predictive value of SUA for MACE were emphasized.
Recent literature suggests a link between hyperuricemia and increased cardiovascular risk.
Major guidelines currently do not include SUA as a standard biomarker in ACS management.
Ongoing research continues to explore the implications of SUA in cardiovascular risk assessment.

Clinical Implications

Clinicians should be aware of the evolving evidence regarding SUA and its potential role in cardiovascular risk assessment, particularly in ACS patients. While SUA is not currently a standard biomarker in guidelines, its association with adverse outcomes warrants further investigation and consideration in clinical practice.

Conclusion

The correction highlights the importance of accurate data representation in research on SUA and cardiovascular events. Continued exploration of SUA's role may enhance risk stratification and management in ACS.