AUTHOR=Tong Xinyu , Lyu Chuxin , Guo Minjie , Gu Jianxiong , Zhao Yichun 

TITLE=Serum uric acid as a predictor of mortality in patients with stroke: results from National Health and Nutrition Examination Survey 2007–2016

JOURNAL=Frontiers in Neurology

VOLUME=15

YEAR=2024

URL=https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2024.1383300

DOI=10.3389/fneur.2024.1383300

ISSN=1664-2295

ABSTRACT=<sec id="sec1"><title>Objective</title><p>This research endeavors to explore the relationship between serum uric acid (SUA) concentration and all-cause mortality in stroke patients.</p></sec><sec id="sec2"><title>Methods</title><p>We undertook a cross-sectional analysis utilizing data derived from the National Health and Nutrition Examination Survey (NHANES) spanning 2007 to 2016. The concentrations of SUA served as the independent variable, while the dependent variable was defined as all-cause mortality in stroke patients. The quartile method was utilized to classify uric acid levels into four distinct categories. Subsequently, three models were developed, and Cox proportional hazards regression was used to assess the effect of varying uric acid concentrations on the risk of all-cause mortality among stroke patients.</p></sec><sec id="sec3"><title>Results</title><p>The study included a total of 10,805 participants, of whom 395 were stroke patients. Among all populations, the group with elevated levels of uric acid (Q4) exhibited a significant association with the overall mortality risk among stroke patients in all three models (model 1 <italic>p</italic> &lt; 0.001, model 2 <italic>p</italic> &lt; 0.001, model 3 <italic>p</italic> &lt; 0.001). In the male population, there was no significant correlation observed between uric acid levels and the overall mortality risk among stroke patients in model 3 (Q2 <italic>p</italic> = 0.8, Q3 <italic>p</italic> = 0.2, Q4 <italic>p</italic> = 0.2). However, within the female population, individuals with high uric acid levels (Q4) demonstrated a noteworthy association with the overall mortality risk among stroke patients across all three models (model 1 <italic>p</italic> &lt; 0.001, model 2 <italic>p</italic> &lt; 0.001, model 3 <italic>p</italic> &lt; 0.001).</p></sec><sec id="sec4"><title>Conclusion</title><p>This cross-sectional investigation reveals a significant correlation between SUA levels and all-cause mortality in stroke patients, with a noticeable trend observed among females. Consequently, SUA may serve as a promising biomarker for assessing the prognosis of individuals affected by stroke.</p></sec>