Evidence map›Paper›PMID 39324419›Full record

ArticleBalkan medical journal2024

Association of Serum Blood Urea Nitrogen to Albumin Ratio with in-Hospital Mortality in Patients with Acute Ischemic Stroke: A Retrospective Cohort Study of the eICU Database

Wenhan Li, Qing Huang, Ke Zhan

Abstract readEvaluation Study
In one paragraph

Article in Balkan medical journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

3 authors.

Wenhan LiV-Medical Laboratory, Hangzhou, ChinaORCID 0009-0000-1401-0419
Qing HuangV-Medical Laboratory, Hangzhou, ChinaORCID 0009-0001-2646-9953
Ke ZhanV-Medical Laboratory, Hangzhou, ChinaORCID 0009-0009-3652-7887

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Albumin (ALB) and blood urea nitrogen (BUN) are both associated with the prognosis of acute ischemic stroke (AIS). A recent prognostic marker, the BUN/ALB ratio (BAR), has been suggested as a simple and sensitive method to predict certain acute diseases. Aims: To determine the predictive value of BAR in relation to the risk of in-hospital mortality among AIS patients. Study Design: Retrospective cohort study. Methods: Cox regression analysis was employed to assess the relationship between in-hospital mortality and BAR, with hazard ratios (HRs) and 95% confidence intervals. Subgroup analysis of acute pulmonary embolism, acute myocardial infarction (AMI), thrombolysis, thrombectomy, and septic shock was performed to further examine this relationship. The predictive value of BAR and BAR multivariate models for in-hospital mortality was evaluated and compared to BUN, ALB, the Acute Physiology and Chronic Health Evaluation IV (APACHE IV) score, and the Sequential Organ Failure Assessment Score (SOFA). Results: Among the 1,635 eligible patients, 226 (13.81%) died during hospitalization. An elevated serum BAR level was associated with an increased in-hospital mortality risk (HR: 1.3) after covariates were adjusted. Additionally, this positive association was observed in patients without AP, AMI, thrombolysis, history of thrombectomy, or septic shock (all; Conclusion: Serum BAR exhibits the potential to identify AIS patients with high mortality risk, which may contribute to enhanced disease surveillance and risk stratification.

Indexed as

Blood Urea NitrogenHospital MortalityIschemic StrokeSerum Albumin, HumanAgedAged, 80 and overAPACHEFemaleFollow-Up StudiesHumansMaleMiddle AgedMultivariate AnalysisOrgan Dysfunction ScoresPredictive Value of TestsRegression AnalysisSerum Albumin, Human

Identifiers

PMID39324419
PMCPMC11589206

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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.