Association of C-reactive protein to albumin ratio with all-cause and cardiovascular mortality in patients with chronic kidney disease stages 3-5.

Jie LIU; Jin ZHAO; Jinguo YUAN; Zixian YU; Yunlong QIN; Yan XING; Qiao ZHENG; Yueru ZHAO; Xiaoxuan NING; Shiren SUN

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Association of C-reactive protein to albumin ratio with all-cause and cardiovascular mortality in patients with chronic kidney disease stages 3-5.

Author: Jie LIU ¹ ; Jin ZHAO ¹ ; Jinguo YUAN ¹ ; Zixian YU ¹ ; Yunlong QIN ¹ ; Yan XING ¹ ; Qiao ZHENG ¹ ; Yueru ZHAO ² ; Xiaoxuan NING ³ ; Shiren SUN ¹
Author Information

1. Department of Nephrology, Xijing Hospital, The Fourth Military Medical University.
2. Medicine School of Xi'an Jiaotong University.
3. Department of Geriatrics, Xijing Hospital, Fourth Military Medical University.
Publication Type:Journal Article
Keywords: C-reactive protein to albumin ratio; Cardiovascular disease; Chronic kidney disease; Mortality; NHANES
MeSH: Humans; Renal Insufficiency, Chronic/epidemiology*; Cardiovascular Diseases/blood*; Male; Female; Middle Aged; C-Reactive Protein/metabolism*; Aged; Biomarkers/blood*; Nutrition Surveys; Adult; United States/epidemiology*; Serum Albumin/analysis*
From:Environmental Health and Preventive Medicine 2025;30():21-21
CountryJapan
Language:English
Abstract: BACKGROUND:Chronic kidney disease (CKD) poses a major global health challenge, often foreshadowing poor patient outcomes. The C-reactive protein to albumin ratio (CAR) serves as a pivotal biomarker, demonstrating a strong correlation with adverse outcomes in cardiovascular disease (CVD). This study sought to examine the correlation between CAR and the risk of all-cause and cardiovascular mortality in patients with CKD stages 3-5.
METHODS:This study utilized data of CKD patients from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2010, with follow-up to December 31, 2019. The optimal CAR cutoff value was identified utilizing the method of maximally selected rank statistics. Multivariable Cox proportional hazards regression model, restricted cubic splines (RCS) model, and subgroup analysis were employed to assess the association between CAR and mortality among CKD patients.
RESULTS:During a median (with interquartile range) follow-up period of 115 (112,117) months among 2,841 CKD individuals, 1,893 deaths were observed, including 692 deaths due to CVD events. Based on the RCS analysis, a non-linear correlation was observed between CAR and mortality. Using 0.3 as the optimal CAR cutoff value, the cohort was divided into high and low groups. In the fully adjusted model, CKD patients with high CAR values exhibited an elevated risk of all-cause mortality (hazard ratio [HR] 1.53, 95% confidence interval [CI] 1.28-1.83, P < 0.001) and cardiovascular mortality (HR 1.48, 95% CI 1.08-2.02, P = 0.014). Compared to the population aged >65 years (HR 1.32, 95% CI 0.99-1.76, P = 0.064), the risk of cardiovascular mortality was significantly higher in those aged ≤65 years (HR 2.19, 95% CI 1.18-4.09, P = 0.014) with elevated CAR levels.
CONCLUSIONS:A notable correlation exists between the elevation of CAR and increased all-cause and cardiovascular mortality, suggesting its potential as an independent indicator for evaluating the prognosis of patients with CKD stages 3-5.