Predictive Efficacy of Inflammatory Indices for Hyperuricemia: NHANES Analysis 2017-2020

Purpose

Hyperuricemia is a widespread health issue globally, with serum uric acid (SUA) implicated in inflammation and various chronic diseases. Our study seeks to assess the correlation between established inflammatory markers and SUA, aiming to define their relationship and predictive efficacy.

Method

In our analysis, we studied 9,450 adults aged 18 years and older from NHANES 2017-2018, defining hyperuricemia as SUA levels of 7 mg/dL for males and 6 mg/dL for females. We evaluated key inflammatory indices, including the Systemic Inflammation Response Index (SIRI), serum ferritin, and hs-CRP, using linear regression and ROC analysis. Additionally, we adjusted the linear regression model to predict inflammatory indices, considering factors such as age, race, lifestyle habits, and medical history (hypertension, diabetes and arthritis), as well as intake of anti-inflammatory nutrients including zinc, vitamin C, D, and selenium.

Result

In the adjusted model, SUA increased by 0.044 (95% CI: 0.028-0.060) and 0.003 (95% CI: 0.003-0.004) per unit increase in hs- CRP and ferritin, respectively, and by 0.160 (95% CI: 0.065-0.255) per unit increase in SIRI. In male population hs-CRP, showing an increased degree of correlation to 0.051 (95% CI: 0.009-0.251). The predictive ability of hsCRP and ferritin for hyperuricemia is evident especially for female, with the ideal cut-off points for prediction being 2.785 (AUC=0.653, Sensitivity=61.7%, Specificity=39.0%) and 75.35 (AUC=0.647, Sensitivity=61.0%, Specificity=39.4%), respectively.

Conclusion

A strong positive relationship between inflammatory markers and SUA was evident, with gender serving as a modifying influence. SIRI, determined solely through CBC analysis, might be utilized in predicting SUA.