Objective The purpose of this study was to investigate the relationship between the new inflammatory marker erythrocyte distribution width and albumin ratio (RAR) and the development of gout. Methods Data were analyzed for gout in 10,239 adult hypertensive patients ≥ 18 years of age from the 2007—2018 NHANES survey. All patients had complete data information. Multi-model one-way and multi-factor logistic regression was used to analyze the correlation between RAR and gout, RCS curves were used to find the cut-off point, and subgroup analyses were used to assess the stability of the correlation in different groups as well as interactions. Sensitivity analyses further confirmed the stability of this correlation. Results Data from 10,239 adult hypertensive patients were used in the study. For analysis, RAR was divided into four quartiles. The mean age of the included population was 59.3 ± 14.9 years. Among them, 896 cases had gout. Multifactorial logistic regression analysis showed that the fourth quartile was significantly associated with gout compared to the first quartile (used as reference) in all three models (model 1: OR = 2.17, 95% CI (1.76,2.66), P < 0.001; model 2: 2.12, 95% CI (1.70,2.64), P < 0.001; model 3: 1.59, 95% CI (1.26,1.99), P < 0.001). RCS curve analysis showed a significant positive nonlinear association between RAR and gout (P for nonlinear < 0.001) and an optimal cut-off value of 3.17. Subgroup analysis showed an interaction between RAR and age, smoking, alcohol consumption, and diabetes, with a significant positive association between RAR and gout in the group aged ≥ 50 years, while no such relationship was observed in those aged < 50 years. The positive association was stable in the remaining subgroups analyzed. Sensitivity analyses including all populations further confirmed this positive association. Conclusion There was a significant positive correlation between RAR and gout. This provides new insights into the diagnosis and treatment of gout. Further prospective cohort studies on its relationship with the prognosis of gout patients are worthwhile. <Table Float="No" ID="Taba"> <tgroup cols="2"> <colspec align="left" colname="c1" colnum="1" /> <colspec align="left" colname="c2" colnum="2" /> <tbody> <row> <entry align="left" nameend="c2" namest="c1"> Key Points • This study reveals a nonlinear association between the red blood cell distribution width-to-albumin ratio (RAR) and the prevalence of gout in hypertensive patients. • The optimal cutoff value of RAR was identified, providing a novel indicator for clinical risk stratification. • A dose–response relationship was investigated using restricted cubic spline analysis. • The findings suggest that RAR may serve as a potential biomarker for gout prediction. </entry> </row> </tbody> </tgroup> </Table>

Nonlinear relationship between erythrocyte distribution width and albumin ratio and prevalence of gout in adult hypertensive patients

期刊论文
发表日期：

2026年2月24日

查看全文

Rangrang Zhang,
Delian Zhang,
Menghui Wang,
Reziya· Tuerhong,
Jing Hong,
Nanfang Li,
Qin Luo

摘要

Objective

The purpose of this study was to investigate the relationship between the new inflammatory marker erythrocyte distribution width and albumin ratio (RAR) and the development of gout.

Methods

Data were analyzed for gout in 10,239 adult hypertensive patients ≥ 18 years of age from the 2007—2018 NHANES survey. All patients had complete data information. Multi-model one-way and multi-factor logistic regression was used to analyze the correlation between RAR and gout, RCS curves were used to find the cut-off point, and subgroup analyses were used to assess the stability of the correlation in different groups as well as interactions. Sensitivity analyses further confirmed the stability of this correlation.

Results

Data from 10,239 adult hypertensive patients were used in the study. For analysis, RAR was divided into four quartiles. The mean age of the included population was 59.3 ± 14.9 years. Among them, 896 cases had gout. Multifactorial logistic regression analysis showed that the fourth quartile was significantly associated with gout compared to the first quartile (used as reference) in all three models (model 1: OR = 2.17, 95% CI (1.76,2.66), P < 0.001; model 2: 2.12, 95% CI (1.70,2.64), P < 0.001; model 3: 1.59, 95% CI (1.26,1.99), P < 0.001). RCS curve analysis showed a significant positive nonlinear association between RAR and gout (P for nonlinear < 0.001) and an optimal cut-off value of 3.17. Subgroup analysis showed an interaction between RAR and age, smoking, alcohol consumption, and diabetes, with a significant positive association between RAR and gout in the group aged ≥ 50 years, while no such relationship was observed in those aged < 50 years. The positive association was stable in the remaining subgroups analyzed. Sensitivity analyses including all populations further confirmed this positive association.

Conclusion

There was a significant positive correlation between RAR and gout. This provides new insights into the diagnosis and treatment of gout. Further prospective cohort studies on its relationship with the prognosis of gout patients are worthwhile.

Key Points

• This study reveals a nonlinear association between the red blood cell distribution width-to-albumin ratio (RAR) and the prevalence of gout in hypertensive patients.

• The optimal cutoff value of RAR was identified, providing a novel indicator for clinical risk stratification.

• A dose–response relationship was investigated using restricted cubic spline analysis.

• The findings suggest that RAR may serve as a potential biomarker for gout prediction.