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Background <p>Metabolic syndrome (MetS) is closely related to inflammation and oxidative stress. C-reactive protein to albumin ratio (CAR) is an inflammatory and nutritional marker, and this study aims to explore its relationship with the occurrence and prognosis of MetS.</p> Methods <p>The study utilized data derived from the National Health and Nutrition Examination Survey 1999–2010. Among the 11,669 adult participants, 4,290 (33%) were diagnosed with MetS. Multivariate logistic regression was employed to investigate the association between CAR and MetS. To assess the impact of CAR on all-cause and cardiovascular mortality among people with MetS, Kaplan–Meier survival curve, Cox proportional risk model, restricted cubic spline, and receiver operating characteristic (ROC) curve were used.</p> Results <p>This study showed that the highest CAR quantile level was strongly association with the prevalence of MetS in the population (OR = 4.92 95% CI 4.19–5.77 <i>P</i> &lt; 0.001). In people with MetS, elevated CAR increased the risk of all-cause death (HR = 1.51 95% CI 1.27–1.79 <i>P</i> &lt; 0.001) and cardiovascular death (HR = 1.65 95% CI 1.29–2.09 <i>P</i> &lt; 0.001). The ROC curve indicated the predictive value of CAR for all-cause death in people with MetS (AUC = 0.64).</p> Conclusion <p>Our findings demonstrate the predictive value of CAR for the prevalence and mortality due to MetS, and highlight the role of inflammation in the development and prognosis of MetS.</p>

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Association of C-reactive protein to albumin ratio with prevalence and mortality in metabolic syndrome: NHANES 1999–2010

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  • 发表日期：

    2025年12月1日

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  • Laicheng Wang,
  • Chennan Liu,
  • Xuan Zheng,
  • Ailing Wang,
  • Yunchai Lin,
  • Feng Peng

摘要

Background

Metabolic syndrome (MetS) is closely related to inflammation and oxidative stress. C-reactive protein to albumin ratio (CAR) is an inflammatory and nutritional marker, and this study aims to explore its relationship with the occurrence and prognosis of MetS.

Methods

The study utilized data derived from the National Health and Nutrition Examination Survey 1999–2010. Among the 11,669 adult participants, 4,290 (33%) were diagnosed with MetS. Multivariate logistic regression was employed to investigate the association between CAR and MetS. To assess the impact of CAR on all-cause and cardiovascular mortality among people with MetS, Kaplan–Meier survival curve, Cox proportional risk model, restricted cubic spline, and receiver operating characteristic (ROC) curve were used.

Results

This study showed that the highest CAR quantile level was strongly association with the prevalence of MetS in the population (OR = 4.92 95% CI 4.19–5.77 P < 0.001). In people with MetS, elevated CAR increased the risk of all-cause death (HR = 1.51 95% CI 1.27–1.79 P < 0.001) and cardiovascular death (HR = 1.65 95% CI 1.29–2.09 P < 0.001). The ROC curve indicated the predictive value of CAR for all-cause death in people with MetS (AUC = 0.64).

Conclusion

Our findings demonstrate the predictive value of CAR for the prevalence and mortality due to MetS, and highlight the role of inflammation in the development and prognosis of MetS.