Evidence map›Paper›PMID 40522976›Full record

ArticlePloS one2025

Association between the early use of beta-blocker and the risk of sepsis-associated acute kidney injury: A retrospective cohort study using the MIMIC-IV database.

Canmin Wang, Yingfang Hu, Yunfeng Song

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

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4 · The record

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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.

Canmin WangDepartment of Intensive Care Unit, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, Guangdong Province, P.R. China.ORCID https://orcid.org/0009-0009-0004-7937
Yingfang HuDepartment of Intensive Care Unit, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, Guangdong Province, P.R. China.
Yunfeng SongDepartment of Intensive Care Unit, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, Guangdong Province, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis-associated acute kidney injury (SA-AKI) is a common and life-threatening complication in critically ill patients. Studies have shown that the use of beta-blockers improves hemodynamics and the risk of death in patients with sepsis. However, the association between beta-blockers use and the risk of AKI in patients with sepsis remains poorly understood. The present study aimed to evaluate this potential association.

methodSepsis patients for this retrospective cohort study were extracted from the Medical Information Mart for Intensive Care-IV (MIMIC) database. Propensity score matching (PSM) was used to balance the basic characteristics between beta-blocker users and non-users. Univariate and multivariable logistic regression analysis were employed to evaluate the association between early use of beta-blocker and SA-AKI. Odds ratio (OR) and 95% confidence interval (CI) were estimated as effect measurements.

resultsTotally 4,419 patients with sepsis were enrolled in our study. The follow-up period was from the 24th hour of intensive care unit (ICU) admission to the occurrence of AKI or ICU discharge, with 2,122 (48.02%) cases of developed AKI. After PSM, a lower SA-AKI risk was observed in the early use of the beta-blockers group compared to the non-user group (adjusted OR: 0.80; 95%CI: 0.64-0.99). Similar associations of early use of beta-blockers and SA-AKI were observed in patients younger than 65 years old, male, without comorbidities, and with Simplified Acute Physiology Score II/Charlson comorbidity index scores below the median (all P < 0.05).

conclusionIn ICU patients with sepsis, early use of beta-blockers is associated with a reduced risk of AKI, which may help reduce renal impairment and improve survival. Further studies are needed to verify the underlying mechanisms of beta-blockers in the development of SA-AKI.

Indexed as

Acute Kidney InjuryAdrenergic beta-AntagonistsSepsisAgedDatabases, FactualFemaleHumansIntensive Care UnitsMaleMiddle AgedRetrospective StudiesRisk FactorsAdrenergic beta-Antagonists

Identifiers

PMID40522976
PMCPMC12169561

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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.