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
相关论文
共 50 条
  • [1] Relationship between the Blood Urea Nitrogen to Creatinine Ratio and In-Hospital Mortality in Non-Traumatic Subarachnoid Hemorrhage Patients: Based on Propensity Score Matching Method
    Chen, Zirong
    Wang, Junhong
    Yang, Hongkuan
    Li, Hua
    Chen, Rudong
    Yu, Jiasheng
    JOURNAL OF CLINICAL MEDICINE, 2022, 11 (23)
  • [2] Blood Urea Nitrogen/Creatinine Ratio in Acute Heart Failure Patients
    Shiba, Nobuyuki
    CIRCULATION JOURNAL, 2015, 79 (07) : 1446 - 1447
  • [3] Blood Urea Nitrogen Is Associated with In-Hospital Mortality in Critically Ill Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease: A Propensity Score Matching Analysis
    Giri, Mohan
    He, Lin
    Hu, Tianyang
    Puri, Anju
    Zheng, Xiaozhuo
    Dai, Haiyun
    Guo, Shuliang
    JOURNAL OF CLINICAL MEDICINE, 2022, 11 (22)
  • [4] STUDY ON THE RELATIONSHIP BETWEEN WAIST TO HEIGHT RATIO AND BLOOD PRESSURE AND DYSLIPIDEMIA BY USING PROPENSITY SCORE MATCHING
    Wang, Xin
    Chen, Zuo
    Zhang, Linfeng
    Zhu, Manlu
    Wang, Zengwu
    JOURNAL OF HYPERTENSION, 2016, 34 : E320 - E320
  • [5] Blood urea nitrogen to creatinine ratio in the general population and patients with acute heart failure
    Matsue, Y.
    Van der Meer, P.
    Damman, K.
    Teerlink, J. R.
    O'connor, C. M.
    Bakker, S. J.
    Givertz, M. M.
    Gansevoort, R. T.
    Van Veldhuisen, D. J.
    Voors, A. A.
    EUROPEAN JOURNAL OF HEART FAILURE, 2016, 18 : 320 - 320
  • [6] The relationship between blood urea nitrogen to creatinine ratio and hemorrhagic transformation in stroke patients treated with endovascular thrombectomy
    Eren, Fettah
    Ayan, Cahit
    Avci, Ayse
    Elqutob, Omar
    Ozdemir, Gokhan
    Ozturk, Serefnur
    JOURNAL OF CLINICAL NEUROSCIENCE, 2025, 136
  • [7] The meaning of the blood urea nitrogen/creatinine ratio in acute kidney injury
    Uchino, Shigehiko
    Bellomo, Rinaldo
    Goldsmith, Donna
    CLINICAL KIDNEY JOURNAL, 2012, 5 (02) : 187 - 191
  • [8] Blood urea nitrogen-to-creatinine ratio in the general population and in patients with acute heart failure
    Matsue, Yuya
    van der Meer, Peter
    Damman, Kevin
    Metra, Marco
    O'Connor, Christopher M.
    Ponikowski, Piotr
    Teerlink, John R.
    Cotter, Gad
    Davison, Beth
    Cleland, John G.
    Givertz, Michael M.
    Bloomfield, Daniel M.
    Dittrich, Howard C.
    Gansevoort, Ron T.
    Bakker, Stephan J. L.
    van der Harst, Pim
    Hillege, Hans L.
    van Veldhuisen, Dirk J.
    Voors, Adriaan A.
    HEART, 2017, 103 (06) : 407 - 413
  • [9] Prognostic impact of blood urea nitrogen/creatinine ratio changes in patients with acute ischemic stroke
    Jiang, Wei-Feng
    Deng, Meng-Ling
    CLINICAL NEUROLOGY AND NEUROSURGERY, 2022, 215
  • [10] Interaction between age and blood urea nitrogen to creatinine ratio on mortality in patients with severe cirrhosis: a retrospective cohort study from the MIMIC database
    Yi, Yu
    Li, Lin
    Chen, Yinghua
    Luo, Yawen
    FRONTIERS IN ENDOCRINOLOGY, 2025, 16