Evidence map›Paper›PMID 39268142›Full record

ArticleJournal of thoracic disease2024

Blood urea nitrogen-to-albumin ratio independently predicts 30-day mortality in acute respiratory failure patients: a retrospective cohort study.

Qiang Xiao, Quan Zhou, Wei Shen, Susu Dong, Yafen Tan, Xuan Zhang, Lu Yao, Qiuping Li, Zuoan Qin, Tianli Wang

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Qiang XiaoDepartment of Pulmonary and Critical Care Medicine, Changde Hospital, Xiangya School of Medicine, Central South University (The First People's Hospital of Changde City), Changde, China.ORCID https://orcid.org/0000-0003-1024-2452
Quan ZhouDepartment of Science and Education, Changde Hospital, Xiangya School of Medicine, Central South University (The First People's Hospital of Changde City), Changde, China.ORCID https://orcid.org/0000-0003-2376-7741
Wei ShenDepartment of Quality Control, Changde Hospital, Xiangya School of Medicine, Central South University (The First People's Hospital of Changde City), Changde, China.ORCID https://orcid.org/0000-0002-3532-9960
Susu DongDepartment of Pulmonary and Critical Care Medicine, Changde Hospital, Xiangya School of Medicine, Central South University (The First People's Hospital of Changde City), Changde, China.ORCID https://orcid.org/0000-0003-1476-176X
Yafen TanDepartment of Pulmonary and Critical Care Medicine, Changde Hospital, Xiangya School of Medicine, Central South University (The First People's Hospital of Changde City), Changde, China.ORCID https://orcid.org/0000-0002-4782-8927
Xuan ZhangDepartment of Pulmonary and Critical Care Medicine, Changde Hospital, Xiangya School of Medicine, Central South University (The First People's Hospital of Changde City), Changde, China.ORCID https://orcid.org/0000-0001-6274-0598
Lu YaoDepartment of Pulmonary and Critical Care Medicine, Changde Hospital, Xiangya School of Medicine, Central South University (The First People's Hospital of Changde City), Changde, China.ORCID https://orcid.org/0000-0002-9524-204X
Qiuping LiDepartment of Pulmonary and Critical Care Medicine, Changde Hospital, Xiangya School of Medicine, Central South University (The First People's Hospital of Changde City), Changde, China.ORCID https://orcid.org/0000-0001-7945-4141
Zuoan QinDepartment of Cardiovascular Medicine, Changde Hospital, Xiangya School of Medicine, Central South University (The First People's Hospital of Changde City), Changde, China.ORCID https://orcid.org/0000-0002-0783-3641
Tianli WangDepartment of Pulmonary and Critical Care Medicine, Changde Hospital, Xiangya School of Medicine, Central South University (The First People's Hospital of Changde City), Changde, China.ORCID https://orcid.org/0000-0003-0298-8377

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: It is crucial to identify patients at high risk for acute respiratory failure (ARF) to provide appropriate and optimal clinical treatment. While previous studies have explored the use of prognostic biomarkers based on a combination of blood urea nitrogen (BUN) and albumin levels, no reports to date have evaluated its utility across a wide range of ARF etiologies in a large and diverse critical care population. Therefore, we aimed to ascertain the association between the BUN-to-albumin ratio (BAR) and mortality in these patients. Methods: Data recorded in the first 24 h following intensive care unit (ICU) admission, including demographics, vital signs, laboratory test results, comorbidities, and score systems were retrieved from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. A general additive model was used to determine whether there was a non-linear relationship between BAR and 30-day mortality. A multivariate Cox analysis was performed to measure the association between them. Results: The study enrolled 9,734 patients with ARF. In comparison to survivors, non-survivors exhibited higher BAR [10.79 (6.25-18.81) Conclusions: A high BAR was linked to a higher risk of mortality in ARF patients. BAR is a straightforward and possibly useful prognostic biomarker for ARF.

Indexed as

acute respiratory failure (ARF)Blood urea nitrogen and albumin ratioMedical Information Mart for Intensive Care (MIMIC)mortality

Identifiers

PMID39268142
PMCPMC11388210

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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 OpenQuestion graph.