Poster (Accepted): Correlation of Serum Uric Acid and High-Sensitivity C-Reactive Protein as Markers of Inflammatory Burden and In-Hospital Outcomes in Acute Coronary Syndrome

Abstract

Background:
Acute Coronary Syndrome remains a leading cause of morbidity and mortality worldwide. Inflammation and oxidative stress play crucial roles in its pathogenesis. High-sensitivity C-reactive protein (hsCRP) and serum uric acid have individually been associated with adverse cardiovascular outcomes; however, data regarding their correlation in ACS patients remain limited.

Objective:
To evaluate serum uric acid and hsCRP levels and determine their correlation in patients presenting with acute coronary syndrome, along with their association with in-hospital complications.

Methods:
This cross-sectional observational study included 100 consecutive adult patients with ACS admitted to a tertiary care center in New Delhi between August 2022 and February 2024. Patients were classified as unstable angina, NSTEMI, or STEMI based on clinical, electrocardiographic, and cardiac biomarker criteria. Serum uric acid and hsCRP were measured at admission, and their correlation with ACS subtype and in-hospital complications was analyzed. Statistical analysis was performed using correlation and comparative tests, with p<0.05 considered significant.

Results:
The mean age of participants was 55.5±11.4 years, with male predominance (76%). STEMI constituted the largest subgroup (46%). Hyperuricemia was observed in 45% of patients. Elevated inflammatory burden, reflected by raised hsCRP and serum uric acid levels, showed significant correlation with severity of ACS and occurrence of complications including heart failure, cardiogenic shock, arrhythmias, and mortality. A positive correlation was observed between serum uric acid and hsCRP, suggesting an interplay between oxidative stress and inflammation in ACS.

Conclusion:
Serum uric acid and hsCRP demonstrate significant correlation in ACS and may serve as inexpensive adjunctive biomarkers for inflammatory burden, risk stratification, and prognostication. Their combined assessment may help identify patients at greater risk of adverse in-hospital outcomes.