Evidence map›Paper›PMID 39379672›Full record

ArticleAnnals of intensive care2024

Modified furosemide responsiveness index and biomarkers for AKI progression and prognosis: a prospective observational study.

Ying Su, Wen-Jun Liu, Yu-Feng Zhao, Yi-Jie Zhang, Yue Qiu, Zhi-Hui Lu, Peng Wang, Shuang Lin, Guo-Wei Tu, Zhe Luo

Registry-linked trialAbstract read
In one paragraph

Article in Annals of intensive care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04962412 (Predicting Poor Outcomes of Cardiac Surgery-Associated Acute Kidney Injury Using Novel Biomarkers), which is not on this map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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.

NCT04962412 completednot on this map

Predicting Poor Outcomes of Cardiac Surgery-Associated Acute Kidney Injury Using Novel Biomarkers

Typeobservational_patient_registrySponsorGuowei TuRan2021 to 2025Enrolled3,152ConditionsAcute Kidney Injury, Critical IllnessArmsStandard care "bundle"
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Age-Specific Prognostic Models for Sepsis-Associated Acute Kidney Injury: A Multicenter Cohort Study.Medical science monitor : international medical journal of experimental and clinical research · 2026
    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.

Ying Su *Cardiac Intensive Care Center, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China.
Wen-Jun Liu *Cardiac Intensive Care Center, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China.
Yu-Feng Zhao *Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China.
Yi-Jie ZhangCardiac Intensive Care Center, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China.
Yue QiuCardiac Intensive Care Center, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China.
Zhi-Hui LuCardiac Intensive Care Center, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China.
Peng WangCardiac Intensive Care Center, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China.
Shuang LinCardiac Intensive Care Center, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China.
Guo-Wei TuCardiac Intensive Care Center, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China. tu.guowei@zs-hospital.sh.cn.
Zhe LuoCardiac Intensive Care Center, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China. luo.zhe@zs-hospital.sh.cn.ORCID http://orcid.org/0000-0003-1384-1565

Funding

Clinical Research Funds of Zhongshan Hospital ZSLCYJ202336National Natural Science Foundation of China 82070085National Natural Science Foundation of China 82200800Natural Science Foundation of Shanghai 21ZR1412900Shanghai Sailing Program 22YF1406400
6 · The paper itself

Abstract

backgroundModified furosemide responsiveness index (mFRI) is a novel biomarker for assessing diuretic response and AKI progression in patients with early AKI. However, the comparative predictive performance of mFRI and novel renal biomarkers for adverse renal outcomes remains unclear. In a single-center prospective study, we aimed to evaluate the discriminatory abilities of mFRI and other novel renal biomarkers in predicting AKI progression and prognosis in patients with initial mild and moderate AKI (KDIGO stage 1 to 2).

resultsPatients with initial mild and moderate AKI within 48 h following cardiac surgery were included in this study. The mFRI, renal biomarkers (including serum or urinary neutrophil gelatinase-associated lipocalin [sNGAL or uNGAL], serum cystatin C, urinary N-acetyl-beta-D-glycosaminidase [uNAG], urinary albumin-to-creatinine ratio) and cytokines (TNF, IL-1β, IL-2R, IL-6, IL-8, and IL-10) were measured at AKI diagnosis. The mFRI was calculated for each patient, which was defined as 2-hour urine output divided by furosemide dose and body weight. Of 1013 included patients, 154 (15.2%) experienced AKI progression, with 59 (5.8%) progressing to stage 3 and 33 (3.3%) meeting the composite outcome of hospital mortality or receipt of renal replacement therapy (RRT). The mFRI showed non-inferiority or potential superiority to renal biomarkers and cytokines in predicting AKI progression (area under the curve [AUC] 0.80, 95% confidence interval [CI] 0.77-0.82), progression to stage 3 (AUC 0.87, 95% CI 0.85-0.89), and composite outcome of death and receipt of RRT (AUC 0.85, 95% CI 0.82-0.87). Furthermore, the combination of a functional biomarker (mFRI) and a urinary injury biomarker (uNAG or uNGAL) resulted in a significant improvement in the prediction of adverse renal outcomes than either individual biomarker (all P < 0.05). Moreover, incorporating these panels into clinical model significantly enhanced its predictive capacity for adverse renal outcomes, as demonstrated by the C index, integrated discrimination improvement, and net reclassification improvement (all P < 0.05).

conclusionsAs a rapid, cost-effective and easily accessible biomarker, mFRI, exhibited superior or comparable predictive capabilities for AKI progression and prognosis compared to renal biomarkers in cardiac surgical patients with mild to moderate AKI.

trial registrationClinicaltrials.gov, NCT04962412. Registered July 15, 2021, https://clinicaltrials.gov/ct2/show/NCT04962412?cond=NCT04962412&draw=2&rank=1 .

Indexed as

Acute kidney injuryAKI progressionCystatin CFurosemide stress testInflammation cytokinesModified furosemide responsiveness indexN-acetyl-β-D-glycosaminidaseNeutrophil gelatinase-associated lipocalinRenal biomarker

Identifiers

PMID39379672
PMCPMC11461418

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Registered trials

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.