Evidence map›Paper›PMID 42414252›Full record

ArticleRenal failure2026

Impact of acute kidney injury in different ECMO modalities: a multicenter retrospective study on risk factors and mortality.

Yueguo Wang, Xin Wang, Xiancong Wang, Jian Sun, Yulan Wang, Xiongfeng Zhu, Huadong Meng, Shusheng Zhou, Kui Jin

Abstract readMulticenter Study
In one paragraph

Article in Renal failure, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Yueguo WangDepartment of Emergency Medicine, the First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, China.
Xin WangDepartment of Emergency Medicine, the First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, China.
Xiancong WangDepartment of Emergency Medicine, the First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, China.
Jian SunDepartment of Emergency Medicine, the First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, China.
Yulan WangDepartment of Emergency Medicine, the First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, China.
Xiongfeng ZhuDepartment of Emergency Medicine, The Third People's Hospital of Hefei, Hefei, China.
Huadong MengDepartment of Emergency Medicine, the Third Affiliated Hospital of Anhui Medical University (Hefei First People's Hospital), Hefei, China.
Shusheng ZhouDepartment of Emergency Medicine, the First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, China.
Kui JinDepartment of Emergency Medicine, the First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute kidney injury (AKI) is a common and serious complication in critically ill patients receiving extracorporeal membrane oxygenation (ECMO), significantly affecting mortality and long-term renal function. However, risk factors and clinical course of AKI across different ECMO modalities remain poorly understood. Herein, our study identified independent risk factors for AKI in ECMO patients and evaluated the effect of AKI severity on 30-day mortality. This multicenter retrospective cohort study enrolled patients from three ECMO centers (September 2019-June 2024). AKI was defined and staged according to KDIGO serum creatinine criteria within 7 days after ECMO initiation. Multivariate stepwise logistic regression identified predictors of moderate-to-severe AKI (stages 2-3). Cox proportional-hazards models assessed the association between AKI stage and 30-day mortality. Among 210 patients, 110 (52.4%) developed AKI stages 2-3 within 7 days. Serial monitoring showed a progressive increase in stage 2, while stage 3 plateaued. Moderate-to-severe AKI was independently associated with 30-day mortality. In the overall cohort, VA-ECMO modality and norepinephrine use were independent risk factors for AKI stages 2-3, while high fibrinogen (FIB) level and a history of cardiovascular disease (CVD) were protective. In the VV-ECMO subgroup, elevated lactate, bicarbonate, FIB, procalcitonin, and blood urea nitrogen levels, along with decreased total bilirubin and white blood cell counts were significantly associated with increased moderate-to-severe AKI risk. Herein, our study indicated that severe AKI independently predicts 30-day mortality in ECMO patients. VA-ECMO modality and NE use increase moderate-to-severe AKI risk, while high FIB level and CVD provide protection.

Indexed as

Acute Kidney InjuryExtracorporeal Membrane OxygenationAdultCreatinineCritical IllnessFemaleHumansMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesRisk FactorsSeverity of Illness IndexCreatinineAcute kidney injuryAPACHE II scoreExtracorporeal membrane oxygenationintensive care unitrisk factors

Identifiers

PMID42414252
PMCPMC13347836

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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.