Association between blood urea nitrogen-to-creatinine ratio and mortality in critically ill patients with lung cancer: an analysis from the MIMIC database

Recently, the blood urea nitrogen-to-creatinine ratio (BCR) has been considered a potential indicator of various clinical outcomes. However, the association between this ratio and mortality in critically ill patients with lung cancer remains unclear. This study examined the connection between BCR levels and outcomes in critically ill patients with lung cancer. A retrospective cohort study was conducted using the MIMIC-IV database, with BCR divided into tertiles. The 28-day and 365-day mortality rates were analyzed as the primary outcome measures. The association was assessed using Kaplan–Meier survival analysis and the Cox proportional hazards model. A subgroup analysis was performed to verify the study results. This study included 1,226 critically ill patients with lung cancer. The results of Cox proportional hazards regression analysis showed that each 10-unit increase in BCR significantly increased the risk of death within 28 days (hazard ratio [HR] = 1.23, 95% confidence interval [CI]: 1.13–1.34) and the risk of death within 365 days (HR = 1.19, 95% CI: 1.11–1.27). Consistent results were observed in the subgroup analysis. This investigation suggests that an elevated BCR may be independently associated with an increased risk of mortality in critically ill patients with lung cancer. This study highlights the possibility of using the BCR as a marker for predicting lung cancer outcomes.

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Journal
BMC Pulmonary Medicine
Published
2026-09-14
DOI
https://doi.org/10.1186/s12890-026-04724-y
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
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article
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article

Association between blood urea nitrogen-to-creatinine ratio and mortality in critically ill patients with lung cancer: an analysis from the MIMIC database

Yunxiang Zhu, XiaoMing Li, Bo Tan, Bo Han et al.
BMC Pulmonary Medicine
Inflammatory Biomarkers in Disease Prognosis
article

Association between blood urea nitrogen-to-creatinine ratio and mortality in critically ill patients with lung cancer: an analysis from the MIMIC database

Yunxiang Zhu, XiaoMing Li, Bo Tan, Bo Han, Zhuoling Li, Haojin Li
article en

Abstract

Recently, the blood urea nitrogen-to-creatinine ratio (BCR) has been considered a potential indicator of various clinical outcomes. However, the association between this ratio and mortality in critically ill patients with lung cancer remains unclear. This study examined the connection between BCR levels and outcomes in critically ill patients with lung cancer. A retrospective cohort study was conducted using the MIMIC-IV database, with BCR divided into tertiles. The 28-day and 365-day mortality rates were analyzed as the primary outcome measures. The association was assessed using Kaplan–Meier survival analysis and the Cox proportional hazards model. A subgroup analysis was performed to verify the study results. This study included 1,226 critically ill patients with lung cancer. The results of Cox proportional hazards regression analysis showed that each 10-unit increase in BCR significantly increased the risk of death within 28 days (hazard ratio [HR] = 1.23, 95% confidence interval [CI]: 1.13–1.34) and the risk of death within 365 days (HR = 1.19, 95% CI: 1.11–1.27). Consistent results were observed in the subgroup analysis. This investigation suggests that an elevated BCR may be independently associated with an increased risk of mortality in critically ill patients with lung cancer. This study highlights the possibility of using the BCR as a marker for predicting lung cancer outcomes.

BMC Pulmonary Medicine
Affiliated Hospital of North Sichuan Medical College (CN), Taiyuan Central Hospital (CN)
Good health and well-being
Openalex Percentile: Top 13%
Inflammatory Biomarkers in Disease Prognosis
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Association between blood urea nitrogen-to-creatinine ratio and mortality in critically ill patients with lung cancer: an analysis from the MIMIC database — Yunxiang Zhu, XiaoMing Li, et al. · BMC Pulmonary Medicine (2026) | TGRS Research Map | TGRS