#AI reads Urine# Urinary Albumin-to-Creatinine Ratio, Cardiovascular Health, and All-Cause Mortality in Hypertension

Published 27 November, 2025

This study focused on 9154 hypertensive adults from a nationwide cohort in the United States, exploring the impact of urinary albumin-to-creatinine ratio and cardiovascular health status on the risk of all-cause mortality. The results showed that: the lower the cardiovascular health score and the higher the urinary albumin-to-creatinine ratio, the higher the risk of all-cause mortality in hypertensive patients, and both had a non-linear association with mortality risk; even a mild increase in urinary albumin-to-creatinine ratio (10-29.9 mg/g) within the traditionally considered "normal" range significantly increased the mortality risk; patients with severely elevated urinary albumin-to-creatinine ratio and poor cardiovascular health had the highest mortality risk (hazard ratio = 6.61, 95% confidence interval: 3.72-11.74), while there was no significant difference in mortality risk among patients with different cardiovascular health strata when the urinary albumin-to-creatinine ratio was normal; in addition, the urinary albumin-to-creatinine ratio could explain 4.01% of the association between cardiovascular health status and mortality risk, indicating that it played a partial mediating role in the relationship between the two. Finally, the study emphasized that the combined assessment of renal indicators (urinary albumin-to-creatinine ratio) and cardiovascular health indicators is of great significance for risk stratification and early intervention in hypertensive patients.

 

J Clin Hypertens (Greenwich). 2025 Nov;27(11):e70176. doi: 10.1111/jch.70176.

 

Youhe Gao

Statement: During the preparation of this work the author(s) used Doubao / AI reading for summarizing the content. After using this tool/service, the author(s) reviewed and edited the content as needed and take(s) full responsibility for the content of the published article.

 

For earlier AI Reads Urine articles:

https://www.keaipublishing.com/en/journals/advances-in-biomarker-sciences-and-technology/ai-reads-urine/

 

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