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Elevated BUN Upon Admission as a Predictor of in-Hospital Mortality Among Patients with Acute Exacerbation of COPD: A Secondary Analysis of Multicenter Cohort Study
BACKGROUND: High blood urea nitrogen (BUN) is observed in a subset of patients with acute exacerbation of COPD (AECOPD) and may be linked to clinical outcome, but findings from previous studies have been inconsistent. METHODS: We performed a retrospective analysis of patients prospectively enrolled...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10351588/ https://www.ncbi.nlm.nih.gov/pubmed/37465819 http://dx.doi.org/10.2147/COPD.S412106 |
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author | Zhang, Jiarui Qin, Yichun Zhou, Chen Luo, Yuanming Wei, Hailong Ge, Huiqing Liu, Hui-Guo Zhang, Jianchu Li, Xianhua Pan, Pinhua Yi, Mengqiu Cheng, Lina Liu, Liang Aili, Adila Peng, Lige Liu, Yu Pu, Jiaqi Yi, Qun Zhou, Haixia |
author_facet | Zhang, Jiarui Qin, Yichun Zhou, Chen Luo, Yuanming Wei, Hailong Ge, Huiqing Liu, Hui-Guo Zhang, Jianchu Li, Xianhua Pan, Pinhua Yi, Mengqiu Cheng, Lina Liu, Liang Aili, Adila Peng, Lige Liu, Yu Pu, Jiaqi Yi, Qun Zhou, Haixia |
author_sort | Zhang, Jiarui |
collection | PubMed |
description | BACKGROUND: High blood urea nitrogen (BUN) is observed in a subset of patients with acute exacerbation of COPD (AECOPD) and may be linked to clinical outcome, but findings from previous studies have been inconsistent. METHODS: We performed a retrospective analysis of patients prospectively enrolled in the MAGNET AECOPD Registry study (ChiCTR2100044625). Receiver operating characteristic (ROC) was used to determine the level of BUN that discriminated survivors and non-survivors. Univariate and multivariate Cox proportional hazards regression analyses were performed to assess the impact of BUN on adverse outcomes. RESULTS: Overall, 13,431 consecutive inpatients with AECOPD were included in this study, of whom 173 died, with the mortality of 1.29%. The non-survivors had higher levels of BUN compared with the survivors [9.5 (6.8–15.3) vs 5.6 (4.3–7.5) mmol/L, P < 0.001]. ROC curve analysis showed that the optimal cutoff of BUN level was 7.30 mmol/L for in-hospital mortality (AUC: 0.782; 95% CI: 0.748–0.816; P < 0.001). After multivariate analysis, BUN level ≥7.3 mmol/L was an independent risk factor for in-hospital mortality (HR = 2.099; 95% CI: 1.378–3.197, P = 0.001), also for invasive mechanical ventilation (HR = 1.540; 95% CI: 1.199–1.977, P = 0.001) and intensive care unit admission (HR = 1.344; 95% CI: 1.117–1.617, P = 0.002). Other independent prognostic factors for in-hospital mortality including age, renal dysfunction, heart failure, diastolic blood pressure, pulse rate, PaCO2 and D-dimer. CONCLUSION: BUN is an independent risk factor for in-hospital mortality in inpatients with AECOPD and may be used to identify serious (or severe) patients and guide the management of AECOPD. CLINICAL TRIAL REGISTRATION: MAGNET AECOPD; Chinese Clinical Trail Registry NO.: ChiCTR2100044625; Registered March 2021, URL: http://www.chictr.org.cn/showproj.aspx?proj=121626. |
format | Online Article Text |
id | pubmed-10351588 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-103515882023-07-18 Elevated BUN Upon Admission as a Predictor of in-Hospital Mortality Among Patients with Acute Exacerbation of COPD: A Secondary Analysis of Multicenter Cohort Study Zhang, Jiarui Qin, Yichun Zhou, Chen Luo, Yuanming Wei, Hailong Ge, Huiqing Liu, Hui-Guo Zhang, Jianchu Li, Xianhua Pan, Pinhua Yi, Mengqiu Cheng, Lina Liu, Liang Aili, Adila Peng, Lige Liu, Yu Pu, Jiaqi Yi, Qun Zhou, Haixia Int J Chron Obstruct Pulmon Dis Original Research BACKGROUND: High blood urea nitrogen (BUN) is observed in a subset of patients with acute exacerbation of COPD (AECOPD) and may be linked to clinical outcome, but findings from previous studies have been inconsistent. METHODS: We performed a retrospective analysis of patients prospectively enrolled in the MAGNET AECOPD Registry study (ChiCTR2100044625). Receiver operating characteristic (ROC) was used to determine the level of BUN that discriminated survivors and non-survivors. Univariate and multivariate Cox proportional hazards regression analyses were performed to assess the impact of BUN on adverse outcomes. RESULTS: Overall, 13,431 consecutive inpatients with AECOPD were included in this study, of whom 173 died, with the mortality of 1.29%. The non-survivors had higher levels of BUN compared with the survivors [9.5 (6.8–15.3) vs 5.6 (4.3–7.5) mmol/L, P < 0.001]. ROC curve analysis showed that the optimal cutoff of BUN level was 7.30 mmol/L for in-hospital mortality (AUC: 0.782; 95% CI: 0.748–0.816; P < 0.001). After multivariate analysis, BUN level ≥7.3 mmol/L was an independent risk factor for in-hospital mortality (HR = 2.099; 95% CI: 1.378–3.197, P = 0.001), also for invasive mechanical ventilation (HR = 1.540; 95% CI: 1.199–1.977, P = 0.001) and intensive care unit admission (HR = 1.344; 95% CI: 1.117–1.617, P = 0.002). Other independent prognostic factors for in-hospital mortality including age, renal dysfunction, heart failure, diastolic blood pressure, pulse rate, PaCO2 and D-dimer. CONCLUSION: BUN is an independent risk factor for in-hospital mortality in inpatients with AECOPD and may be used to identify serious (or severe) patients and guide the management of AECOPD. CLINICAL TRIAL REGISTRATION: MAGNET AECOPD; Chinese Clinical Trail Registry NO.: ChiCTR2100044625; Registered March 2021, URL: http://www.chictr.org.cn/showproj.aspx?proj=121626. Dove 2023-07-13 /pmc/articles/PMC10351588/ /pubmed/37465819 http://dx.doi.org/10.2147/COPD.S412106 Text en © 2023 Zhang et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Zhang, Jiarui Qin, Yichun Zhou, Chen Luo, Yuanming Wei, Hailong Ge, Huiqing Liu, Hui-Guo Zhang, Jianchu Li, Xianhua Pan, Pinhua Yi, Mengqiu Cheng, Lina Liu, Liang Aili, Adila Peng, Lige Liu, Yu Pu, Jiaqi Yi, Qun Zhou, Haixia Elevated BUN Upon Admission as a Predictor of in-Hospital Mortality Among Patients with Acute Exacerbation of COPD: A Secondary Analysis of Multicenter Cohort Study |
title | Elevated BUN Upon Admission as a Predictor of in-Hospital Mortality Among Patients with Acute Exacerbation of COPD: A Secondary Analysis of Multicenter Cohort Study |
title_full | Elevated BUN Upon Admission as a Predictor of in-Hospital Mortality Among Patients with Acute Exacerbation of COPD: A Secondary Analysis of Multicenter Cohort Study |
title_fullStr | Elevated BUN Upon Admission as a Predictor of in-Hospital Mortality Among Patients with Acute Exacerbation of COPD: A Secondary Analysis of Multicenter Cohort Study |
title_full_unstemmed | Elevated BUN Upon Admission as a Predictor of in-Hospital Mortality Among Patients with Acute Exacerbation of COPD: A Secondary Analysis of Multicenter Cohort Study |
title_short | Elevated BUN Upon Admission as a Predictor of in-Hospital Mortality Among Patients with Acute Exacerbation of COPD: A Secondary Analysis of Multicenter Cohort Study |
title_sort | elevated bun upon admission as a predictor of in-hospital mortality among patients with acute exacerbation of copd: a secondary analysis of multicenter cohort study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10351588/ https://www.ncbi.nlm.nih.gov/pubmed/37465819 http://dx.doi.org/10.2147/COPD.S412106 |
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