Evidence map›Paper›PMID 42157169›Full record

ArticleBMC pulmonary medicine2026

Correlation between urea-to-creatinine ratio and poor prognosis of intensive care unit patients with chronic obstructive pulmonary disease: a study based on the MIMIC-IV database.

Lei Zhang, Meiying Wang, Dong Miao, Ruigang Wang, Li Li, Zhengqiao Li, Li'ao Wang, Gang He

Abstract read
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Article in BMC pulmonary medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Lei Zhang *Bethune International Peace Hospital, Shijiazhuang, Hebei, China.
Meiying Wang *Bethune International Peace Hospital, Shijiazhuang, Hebei, China.
Dong Miao *Bethune International Peace Hospital, Shijiazhuang, Hebei, China.
Ruigang WangNorth China University of Science and Technology Affiliated Hospital, Tangshan, Hebei, China.
Li LiNorth China University of Science and Technology Affiliated Hospital, Tangshan, Hebei, China.
Zhengqiao Li *Bethune International Peace Hospital, Shijiazhuang, Hebei, China.
Li'ao Wang *Bethune International Peace Hospital, Shijiazhuang, Hebei, China. 784588136@qq.com.
Gang He *Bethune International Peace Hospital, Shijiazhuang, Hebei, China. hegyouxiang@163.com.

Funding

Hebei Provincial Medical Science Research Project 20240347
6 · The paper itself

Abstract

backgroundChronic obstructive pulmonary disease (COPD) is a leading cause of mortality worldwide. ICU patients with COPD are facing particularly poor outcomes. Existing biomarkers like blood urea nitrogen (BUN) have shown inconsistent prognostic value. Recent evidence suggests the urea-to-creatinine ratio (UCR) may better reflect muscle catabolism and systemic dysfunction in critical illness. However, its clinical role in predicting prognosis for COPD patients needs to be confirmed. This study aimed to investigate the correlation between UCR levels and poor prognosis in ICU patients with COPD.

methodsThe clinical data of 2,305 COPD patients were retrieved from the database of Medical Information Mart for Intensive Care IV (MIMIC-IV), including demographic information, vital signs upon ICU admission, comorbidities, laboratory test indicators, arterial blood gas analysis results, and disease severity scores. Patients were grouped into U1 group (UCR < 15.71, n = 558), U2 group (15.71 ≤ UCR < 20.57, n = 593), U3 group (20.57 ≤ UCR < 27.575, n = 578), and U4 group (UCR ≥ 27.575, n = 576) based on the quartile levels of UCR measured at ICU admission. The primary endpoint was 90-day mortality. Clinical baseline characteristics and prognostic endpoints were compared across groups. Logistic regression analysis and restricted cubic spline (RCS) analysis were employed to evaluate the correlation between different UCR levels and the poor prognosis of COPD patients.

resultsPatients in the higher UCR groups showed an increased rate of mechanical ventilation and significantly higher mortality rates within the ICU, at 28 days, 30 days, and 90 days (all p < 0.001). A logistic regression model, constructed using important feature variables selected by random forest, revealed that patients in the highest UCR quartile (U4 group) had a significantly elevated mortality risk (OR = 1.835, 95% CI: 1.37 ~ 2.458, p < 0.01). RCS analysis demonstrated a linear correlation between UCR levels and both patient mortality risk and the rate of mechanical ventilation.

conclusionHigh UCR is correlated with poor prognosis of patients with COPD.

Indexed as

CreatininePulmonary Disease, Chronic ObstructiveUreaAgedBiomarkersDatabases, FactualFemaleHospital MortalityHumansIntensive Care UnitsLogistic ModelsMaleMiddle AgedPrognosisSeverity of Illness IndexBiomarkersCreatinineUreaChronic obstructive pulmonary diseaseCorrelation analysisMIMIC-IV databaseRandom forestUrea-to-creatinine ratio

Identifiers

PMID42157169
PMCPMC13188558

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.