Back

Nonlinear Relationship Between the C-Reactive Protein to Albumin Ratio and Chronic Kidney Disease: A Cross-Sectional Analysis Using the NHANES Database

Huang, Q.; Lu, X.; Yang, Y.; Liang, Y.; Zhu, W.; Chen, J.

2025-02-10 bioinformatics
10.1101/2025.02.07.637012 bioRxiv
Show abstract

ObjectiveThe C-reactive protein to albumin ratio (CAR) has gained attention as an inflammatory biomarker with potential relevance in various diseases. However, its relationship with chronic kidney disease (CKD) remains inadequately understood. This study aims to investigate the association between CAR and CKD prevalence in a diverse, multi-ethnic U.S. cohort. MethodsThis cross-sectional analysis utilized data from the 1999-2010 National Health and Nutrition Examination Survey (NHANES). Multivariable regression and subgroup analyses were conducted to control for confounding factors and examine the link between CAR and CKD. A restrictive cubic spline model was employed to explore potential nonlinear associations. ResultsAmong 30,049 participants aged 18 years or older, 5,423 (18.05%) had CKD. Compared to the lowest quartile (Q1) of log-transformed CAR, CKD risk was higher in the second (Q2), third (Q3), and fourth (Q4) quartiles, with odds ratios of 1.28, 1.29, and 1.63, respectively. A dose-response relationship was observed, indicating that higher CAR levels were significantly associated with increased CKD risk. ConclusionElevated CAR is independently associated with a higher prevalence of CKD, suggesting its potential utility as a biomarker for CKD risk assessment in diverse populations. Further studies are needed to confirm these findings and explore underlying mechanisms.

Matching journals

The top 1 journal accounts for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.