Evidence map›Paper›PMID 41266989›Full record

ArticleBMC nephrology2025

Analysis of prognostic risk factors in critically ill elderly patients with sepsis-associated acute kidney injury.

Jiangwei Zeng, Yu Zhang, Mengxin Zhang, Kai Feng, Weiyan Guo, Yanlei Ge, Weibin Chen, Jinyu Li, Aibin Cheng, Jing Bai

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. [Special ethical aspects in older intensive care patients].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2026
    Article
  4. Article
  5. Article
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.

Jiangwei Zeng *Intensive Care Unit, Affiliated Hospital of North China University of Science and Technology, Tangshan, China.
Yu Zhang *Intensive Care Unit, Tangshan People's Hospital, Tangshan, China.
Mengxin ZhangIntensive Care Unit, Affiliated Hospital of North China University of Science and Technology, Tangshan, China.
Kai FengIntensive Care Unit, Affiliated Hospital of North China University of Science and Technology, Tangshan, China.
Weiyan GuoIntensive Care Unit, Affiliated Hospital of North China University of Science and Technology, Tangshan, China.
Yanlei GeRespiratory Medicine Department, Affiliated Hospital of North China University of Science and Technology, Tangshan, China.
Weibin ChenIntensive Care Unit, Affiliated Hospital of North China University of Science and Technology, Tangshan, China.
Jinyu LiIntensive Care Unit, Affiliated Hospital of North China University of Science and Technology, Tangshan, China.
Aibin ChengIntensive Care Unit, Affiliated Hospital of North China University of Science and Technology, Tangshan, China.
Jing BaiIntensive Care Unit, Affiliated Hospital of North China University of Science and Technology, Tangshan, China. icubaijing@163.com.

Funding

the Key Scientific and Technological Research Projects in Hebei Province grant number 20220186
6 · The paper itself

Abstract

backgroundTo investigate the risk factors influencing the prognosis of critically ill elderly patients with sepsis-associated acute kidney injury (SA-AKI).

methodsThis retrospective study analyzed data from the Medical Information Mart for Intensive Care (MIMIC) Ⅳ database collected between 2008 and 2019. A total of 3,338 elderly patients with SA-AKI were included and categorized into a survival group (n = 2,448) and a death group (n = 898) based on 28-day mortality outcomes. Least Absolute Shrinkage and Selection Operator (LASSO) regression was utilized to identify potential predictors, and multivariate Cox regression was employed to analyze independent risk factors associated with 28-day mortality in elderly patients with SA-AKI.

resultsThe 28-day mortality rate in elderly patients with SA-AKI was 26.9%. Multivariate Cox regression analysis revealed that age ≥ 76 years (Hazard Ratio[HR] = 1.392, 95% Confidence Interval[CI] 1.212-1.598, P < 0.001), creatinine ≥ 1.5 mg/dL (HR = 1.216, 95%CI 1.037-1.427, P = 0.016), urea-to-creatinine ratio (UCR) ≥ 20 (HR = 1.668, 95%CI 1.441-1.931, P < 0.001), liver disease (HR = 1.292, 95%CI 1.059-1.575, P = 0.011), renal replacement therapy (HR = 1.476, 95%CI 1.160-1.879, P = 0.002), use of norepinephrine (HR = 1.624, 95%CI 1.390-1.896, P < 0.001), dobutamine (HR = 1.644, 95%CI 1.225-2.206, P < 0.001), dopamine (HR = 1.260, 95%CI 1.008-1.576, P = 0.042), and vasopressin (HR = 1.708, 95%CI 1.430-2.041, P < 0.001) were significant risk factors for 28-day mortality in elderly patients with SA-AKI. In contrast, epinephrine use was associated with lower mortality (HR = 0.553, 95%CI 0.417-0.734, P < 0.001).

conclusionsElderly SA-AKI patients have a high short-term mortality. Advanced age, renal impairment, liver disease, renal replacement therapy, and the use of several vasoactive drugs were associated with poor outcomes, while the potential benefit of epinephrine requires further validation. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Acute Kidney InjurySepsisAgedAged, 80 and overCreatinineCritical IllnessFemaleHumansMalePrognosisRetrospective StudiesRisk FactorsVasoconstrictor AgentsCreatinineVasoconstrictor AgentsAcute kidney injuryElderly peopleRisk factorsSepsis

Identifiers

PMID41266989
PMCPMC12632123

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.