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PreprintCC BYmedRxiv

Association between blood urea nitrogen-to-albumin ratio and kidney stones: A cross-sectional study based on NHANES

  1. 1Tianjin Hospital

Abstract

Kidney stones are a disorder in which urinary solutes precipitate to form crystalline aggregates in the urinary space. The blood urea nitrogen-to-albumin ratio (BAR), a common inflammatory indicator, has an unclear association with kidney stones. Using NHANES 2007-2020 data, we compared baseline characteristics between kidney stone formers and controls and evaluated the BAR-stone relationship via weighted multivariate logistic regression (WMLR), restricted cubic splines (RCS), stratification analyses, and XGBoost, with validation in an independent external cohort. Twenty baseline features, including BAR and age, differed significantly between groups (P < 0.05). In all WMLR models, BAR was positively and nonlinearly associated with kidney stone risk (OR > 1, P < 0.05). Subgroup analyses revealed stable associations in females (OR = 1.10, P < 0.001), low vitamin A intake (OR = 1.10, P < 0.001), high water intake (OR = 1.11, P < 0.001), age < 50 years (OR = 1.14, P < 0.01), and education less than high school (OR = 1.11, P < 0.01). XGBoost identified BAR and water intake as prominent risk factors (AUC = 0.658). External validation confirmed a positive association (Model 1 OR = 1.029, 95% CI 1.016-1.043; Model 2 OR = 1.030, 95% CI 1.016-1.044; Model 3 OR = 1.029, 95% CI 1.015-1.045; all P < 0.001), and RCS confirmed a nonlinear dose-response relationship (nonlinear P = 0.0006). Subgroups aged [≥] 60 years, males, and females showed significant associations (ORs = 1.027-1.034). In XGBoost, BAR was the most important predictor (Gain = 0.265). These findings reveal a significant association between BAR and kidney stones, offering theoretical insights for prevention and risk stratification; BAR may serve as a valuable marker in kidney stone management.

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BibTeX
@misc{zhu2026association,
  title = {{Association between blood urea nitrogen-to-albumin ratio and kidney stones: A cross-sectional study based on NHANES}},
  author = {F. Zhu and J. Bian and D. Zhang and Y. Wang and G. Zhu and C. Wang},
  howpublished = {medRxiv},
  year = {2026},
  month = sep,
  doi = {10.64898/2026.09.16.26363211},
  url = {https://www.medrxiv.org/content/10.64898/2026.09.16.26363211v1},
  note = {CC BY},
}
RIS
TY  - UNPB
TI  - Association between blood urea nitrogen-to-albumin ratio and kidney stones: A cross-sectional study based on NHANES
AU  - F. Zhu
AU  - J. Bian
AU  - D. Zhang
AU  - Y. Wang
AU  - G. Zhu
AU  - C. Wang
PY  - 2026
DA  - 2026/09/16
PB  - medRxiv
DO  - 10.64898/2026.09.16.26363211
UR  - https://www.medrxiv.org/content/10.64898/2026.09.16.26363211v1
AB  - Kidney stones are a disorder in which urinary solutes precipitate to form crystalline aggregates in the urinary space. The blood urea nitrogen-to-albumin ratio (BAR), a common inflammatory indicator, has an unclear association with kidney stones. Using NHANES 2007-2020 data, we compared baseline characteristics between kidney stone formers and controls and evaluated the BAR-stone relationship via weighted multivariate logistic regression (WMLR), restricted cubic splines (RCS), stratification analyses, and XGBoost, with validation in an independent external cohort. Twenty baseline features, including BAR and age, differed significantly between groups (P < 0.05). In all WMLR models, BAR was positively and nonlinearly associated with kidney stone risk (OR > 1, P < 0.05). Subgroup analyses revealed stable associations in females (OR = 1.10, P < 0.001), low vitamin A intake (OR = 1.10, P < 0.001), high water intake (OR = 1.11, P < 0.001), age < 50 years (OR = 1.14, P < 0.01), and education less than high school (OR = 1.11, P < 0.01). XGBoost identified BAR and water intake as prominent risk factors (AUC = 0.658). External validation confirmed a positive association (Model 1 OR = 1.029, 95% CI 1.016-1.043; Model 2 OR = 1.030, 95% CI 1.016-1.044; Model 3 OR = 1.029, 95% CI 1.015-1.045; all P < 0.001), and RCS confirmed a nonlinear dose-response relationship (nonlinear P = 0.0006). Subgroups aged [≥] 60 years, males, and females showed significant associations (ORs = 1.027-1.034). In XGBoost, BAR was the most important predictor (Gain = 0.265). These findings reveal a significant association between BAR and kidney stones, offering theoretical insights for prevention and risk stratification; BAR may serve as a valuable marker in kidney stone management.
ER  -