The Relationship Between Blood Urea Nitrogen to Creatinine Ratio and Severe Acute Exacerbation of COPD Patients: A Propensity Score Matching Study

被引:0
作者
Long, Zhiwei [1 ,2 ]
Zhu, Tieshi [3 ]
Zhou, Yue [2 ]
Xiang, Zixuan [2 ]
Zeng, Qiyuan [2 ]
Qiu, Ye [4 ]
Hu, Jieying [1 ]
Wang, Yan [1 ]
机构
[1] Guangzhou Med Univ, Guangzhou Inst Resp Hlth, Natl Clin Res Ctr Resp Dis, State Key Lab Resp Dis,Affiliated Hosp 1, Guangzhou, Peoples R China
[2] Guangzhou Med Univ, Dept Clin Med, Guangzhou, Peoples R China
[3] Guangdong Med Univ, Zhanjiang Cent Hosp, Dept Neurol, Zhanjiang, Peoples R China
[4] Guangxi Med Univ, Gastroenterol & Resp Internal Med Dept, Canc Hosp, Nanning 530021, Guangxi, Peoples R China
来源
INTERNATIONAL JOURNAL OF CHRONIC OBSTRUCTIVE PULMONARY DISEASE | 2024年 / 19卷
基金
中国国家自然科学基金;
关键词
acute exacerbation of chronic obstructive pulmonary disease; blood urea nitrogen; creatinine; intensive care unit; hospital mortality; OBSTRUCTIVE PULMONARY-DISEASE; IN-HOSPITAL MORTALITY; SERUM; PREDICTOR; MASS;
D O I
10.2147/COPD.S488394
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
Purpose: The blood urea nitrogen/creatinine ratio (BCR) is an effective marker for disease severity stratification. Its efficacy has been demonstrated under numerous conditions. This study aims to investigate the relationship between BCR and in-hospital mortality in intensive care unit (ICU) patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD).<br /> Patients and Methods: Eligible ICU patients with AECOPD from the eICU database were included in the study. Patients were divided into high-BCR and low-BCR groups on the basis of the optimal cutoff value (22.78) of the ROC curve for predicting in- hospital mortality in AECOPD patients. Propensity score matching (PSM) was used to balance the baseline differences between the high-BCR and low-BCR groups. Multivariate logistic regression was used to analyze the relationship between BCR and in-hospital mortality in ICU patients with AECOPD. Decision curve analysis (DCA) was performed to evaluate the clinical efficacy of each model via multivariate logistic regression.<br /> Results: A total of 3399 eligible ICU patients with AECOPD were included in the study, with 1559 patients in the high-BCR group and 1840 patients in the low-BCR group. After propensity score matching (PSM), 1174 pairs of patients were successfully matched. The results of the multivariate logistic regression revealed that the in-hospital mortality rate for AECOPD patients in the high-BCR subgroup was significantly greater than that in the low-BCR subgroup in both the unmatched and matched cohorts after adjusting for multiple factors. Additionally, DCA demonstrated that the models used in the multivariate logistic regression had effective clinical utility.<br /> Conclusion: The blood urea nitrogen/creatinine ratio (BCR) is an effective predictor of in-hospital mortality in ICU patients with AECOPD. Clinicians can use BCR to identify critically ill ICU patients with AECOPD earlier and implement interventions to improve patient outcomes.
引用
收藏
页码:2529 / 2543
页数:15
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