医学
血尿素氮
四分位数
肌酐
内科学
回顾性队列研究
优势比
单变量分析
逻辑回归
肾功能
队列研究
多元分析
数据库
置信区间
计算机科学
作者
Ting Deng,Dié Wu,Shanshan Liu,Xinglin Chen,Zhenwei Zhao,L H Zhang
出处
期刊:PLOS ONE
[Public Library of Science]
日期:2025-01-14
卷期号:20 (1): e0317315-e0317315
被引量:1
标识
DOI:10.1371/journal.pone.0317315
摘要
Objective Blood urea nitrogen (BUN) is a commonly used biomarker for assessing kidney function and neuroendocrine activity. Previous studies have indicated that elevated BUN levels are associated with increased mortality in various critically ill patient populations. The focus of this study was to investigate the relationship between BUN and 28-day mortality in intensive care patients. Methods This was a multi-centre retrospective cohort study that made use of data from the eICU Collaborative Research Database. The primary exposure variable was BUN, and the outcome was 28-day mortality. The following variables were included as covariates: age, gender, BMI, white blood cell count, creatinine, GCS score, APACHE IV score, and diabetes. The statistical analyses included univariate and multivariate logistic regression, as well as generalized additive modelling, which was employed to assess the non-linear relationship between BUN and mortality. Results A total of 63,757 elderly patients were included in the study, with a 28-day mortality of 6.5%. The univariate analysis indicated that elevated BUN quartiles were associated with an increased risk of mortality. The results of the multivariate analysis further confirmed the non-linear relationship between BUN and mortality. When BUN was less than 32 mg/dL, there was a significant positive association, with an adjusted odds ratio of 1.230 (95% CI: 1.154–1.311, p<0.0001) for every 10 mg/dL increase in BUN. However, when BUN was greater than or equal to 32 mg/dL, BUN level had no significant effect on mortality. Conclusion BUN showed a nonlinear, threshold correlation with 28-day mortality in critically ill patients. The higher the BUN, the greater the risk of death if the BUN is below the threshold.
科研通智能强力驱动
Strongly Powered by AbleSci AI