Evidence map›Paper›PMID 39287102›Full record

Trial reportRenal failure2024

Comprehensive biomarker assessment for predicting severe acute kidney injury and need of kidney replacement therapy in liver transplantation patients.

Camila Lima, Gillene Santos Ferreira, Maria de Fátima Fernandes Vattimo, Luciana Bertocco de Paiva Haddad, Luiz Marcelo Malbouisson, Luiz Augusto Carneiro D'Albuquerque, Alexandre Toledo Maciel, Etienne Macedo

Registry-linked trialAbstract readClinical Trial
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In one paragraph

Trial report in Renal failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02095431 (Acute Kidney Injury Biomarkers), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT02095431 unknown statusnot on this map

Acute Kidney Injury Biomarkers: Diagnosis and Application in Pre-operative Period of Liver Transplantation

TypeobservationalSponsorUniversity of Sao PauloRan2013 to 2016Enrolled122ConditionsAcute Kidney Injury
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  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

8 authors.

Camila LimaMedical Surgical Nursing Department, School of Nursing, University of Sao Paulo, Sao Paulo, Sao Paulo, Brazil.
Gillene Santos FerreiraMedical Surgical Nursing Department, School of Nursing, University of Sao Paulo, Sao Paulo, Sao Paulo, Brazil.
Maria de Fátima Fernandes VattimoMedical Surgical Nursing Department, School of Nursing, University of Sao Paulo, Sao Paulo, Sao Paulo, Brazil.
Luciana Bertocco de Paiva HaddadDepartment of Gastrointestinal Surgery, Clinical Surgery Division, University of Sao Paulo, Sao Paulo, Brazil.
Luiz Marcelo MalbouissonDepartment of Anesthesiology, Clinical Surgery Division, University of Sao Paulo, Sao Paulo, Brazil.
Luiz Augusto Carneiro D'AlbuquerqueDepartment of Gastrointestinal Surgery, Clinical Surgery Division, University of Sao Paulo, Sao Paulo, Brazil.
Alexandre Toledo MacielAdult Intensive Care Unit, Research Department, Imed Group, Hospital Sao Camilo Pompeia, Sao Paulo, Brazil.
Etienne MacedoNephrology Division, Department of Medicine, University of California San Diego, USA.

Funding

NIDDK NIH HHS P30 DK079337
6 · The paper itself

Abstract

backgroundRenal dysfunction is a common complication following liver transplantation (LT). This study aimed to determine whether a comprehensive assessment of kidney function using nineteen serum and urinary biomarkers (BMs) within the first 48 h post-LT could enhance the prediction of severe acute kidney injury (AKI) and the need of kidney replacement therapy (KRT) during the first postoperative week.

methodsBlood and urine (U) samples were collected during the pre- and postoperative periods. Nineteen BMs were evaluated to assess kidney health in the first 48 h after LT. Classification and regression tree (CART) cross-validation identified key predictors to determine the best BM combination for predicting outcomes.

resultsAmong 100 LT patients, 36 developed severe AKI, and 34 required KRT within the first postoperative week. Preoperative assessment of U neutrophil gelatinase-associated lipocalin (NGAL) and liver-type fatty acid-binding protein (L-FABP) predicted the need for KRT with 75% accuracy. The combined assessment of U osmolality (OSM), U kidney injury molecule 1 (KIM-1), and tissue inhibitor of metalloproteinase (TIMP-1) within 48 h post-LT predicted severe AKI with 80% accuracy. U-OSM alone, measured within 48 h post-LT, had an accuracy of 83% for predicting KRT need, outperforming any BM combination.

conclusionsCombined BM analysis can accurately predict severe AKI and KRT needs in the perioperative period of LT. U-OSM alone proved to be an effective tool for monitoring the risk of severe AKI, available in most centers. Further studies are needed to assess its impact on AKI progression postoperatively.Registered at Clinical Trials (clinicaltrials.gov) in March 24th, 2014 by title 'Acute Kidney Injury Biomarkers: Diagnosis and Application in Pre-operative Period of Liver Transplantation (AKIB)' and identifier NCT02095431.

Indexed as

Acute Kidney InjuryBiomarkersLipocalin-2Liver TransplantationRenal Replacement TherapyAdultAgedFatty Acid-Binding ProteinsFemaleHepatitis A Virus Cellular Receptor 1HumansMaleMiddle AgedPostoperative ComplicationsPredictive Value of TestsProspective StudiesBiomarkersFABP1 protein, humanFatty Acid-Binding ProteinsHAVCR1 protein, humanHepatitis A Virus Cellular Receptor 1LCN2 protein, humanLipocalin-2TIMP1 protein, humanTissue Inhibitor of Metalloproteinase-1Acute kidney injurybiomarkersliver transplantationneutrophil gelatinase-associated lipocalinproenkephalin

Identifiers

PMID39287102
PMCPMC11409416

What Socratic holds

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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 Socratic graph.