Evidence map›Paper›PMID 37749888›Full record

ArticleAnnals of laboratory medicine2024

Predictive Performance of Neutrophil Gelatinase Associated Lipocalin, Liver Type Fatty Acid Binding Protein, and Cystatin C for Acute Kidney Injury and Mortality in Severely Ill Patients.

Ayu Asakage, Shiro Ishihara, Louis Boutin, François Dépret, Takeshi Sugaya, Naoki Sato, Etienne Gayat, Alexandre Mebazaa, Benjamin Deniau

Open access · diamondAbstract read
In one paragraph

Article in Annals of laboratory medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
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 at 4 institutions in 2 countries.

Ayu AsakageINSERM UMR-S 942, Cardiovascular Markers in Stress Condition (MASCOT), Université de Paris Cité, Paris, France.ORCID https://orcid.org/0000-0003-4654-4065
Shiro IshiharaDepartment of Cardiovascular Medicine, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.ORCID https://orcid.org/0000-0001-9377-4301
Louis BoutinINSERM UMR-S 942, Cardiovascular Markers in Stress Condition (MASCOT), Université de Paris Cité, Paris, France.ORCID https://orcid.org/0000-0001-6711-4545
François DépretINSERM UMR-S 942, Cardiovascular Markers in Stress Condition (MASCOT), Université de Paris Cité, Paris, France.ORCID https://orcid.org/0000-0001-9988-4317
Takeshi SugayaDepartment of Nephrology and Hypertension, St. Marianna University School of Medicine, Kanagawa, Japan.ORCID https://orcid.org/0000-0002-4387-8046
Naoki SatoDepartment of Cardiovascular Medicine, Kawaguchi Cardiovascular and Respiratory Hospital, Kawaguchi, Japan.ORCID https://orcid.org/0000-0002-5550-0083
Etienne GayatINSERM UMR-S 942, Cardiovascular Markers in Stress Condition (MASCOT), Université de Paris Cité, Paris, France.ORCID https://orcid.org/0000-0002-3334-3849
Alexandre MebazaaINSERM UMR-S 942, Cardiovascular Markers in Stress Condition (MASCOT), Université de Paris Cité, Paris, France.ORCID https://orcid.org/0000-0001-8715-7753
Benjamin DeniauINSERM UMR-S 942, Cardiovascular Markers in Stress Condition (MASCOT), Université de Paris Cité, Paris, France.ORCID https://orcid.org/0000-0002-5879-6369
Inserm · FRNiigata University · JPNoguchi Hospital · JPSt. Marianna University School of Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute kidney injury (AKI) is a common condition in severely ill patients associated with poor outcomes. We assessed the associations between urinary neutrophil gelatinase-associated lipocalin (uNGAL), urinary liver-type fatty acid-binding protein (uLFABP), and urinary cystatin C (uCysC) concentrations and patient outcomes. Methods: We assessed the predictive performances of uNGAL, uLFABP, and uCysC measured in the early phase of intensive care unit (ICU) management and at discharge from the ICU in severely ill patients for short- and long-term outcomes. The primary outcome was the occurrence of AKI during ICU stay; secondary outcomes were 28-day and 1-yr allcause mortality. Results: In total, 1,759 patients were admitted to the ICU, and 728 (41.4%) developed AKI. Median (interquartile range, IQR) uNGAL, uLFABP, and uCysC concentrations on admission were 147.6 (39.9-827.7) ng/mL, 32.4 (10.5-96.0) ng/mL, and 0.33 (0.12-2.05) mg/L, respectively. Biomarker concentrations on admission were higher in patients who developed AKI and associated with AKI severity. Three hundred fifty-six (20.3%) and 647 (37.9%) patients had died by 28 days and 1-yr, respectively. Urinary biomarker concentrations at ICU discharge were higher in non-survivors than in survivors. The areas under the ROC curve (95% confidence interval) of uLFABP for the prediction of AKI, 28-day mortality, and 1-yr mortality (0.70 [0.67-0.72], 0.63 [0.59-0.66], and 0.57 [0.51-0.63], respectively) were inferior to those of the other biomarkers. Conclusions: uNGAL, uLFABP, and uCysC concentrations on admission were associated with poor outcomes. However, their predictive performance, individually and in combination, was limited. Further studies are required to confirm our results.

Indexed as

Acute Kidney InjuryCystatin CBiomarkersCritical IllnessFatty Acid-Binding ProteinsHumansLipocalin-2LiverProspective StudiesBiomarkersCystatin CFatty Acid-Binding ProteinsLipocalin-2Acute kidney injuryCystatin CIntensive care unitLiver-type fatty acid-binding proteinMortalityNeutrophil gelatinase-associated lipocalin

Identifiers

PMID37749888
PMCPMC10628750
OpenAlexW4387033375

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.