Evidence map›Paper›PMID 40247231›Full record

Trial reportBMC nephrology2025

Does combining urine sediment examination to renal cell arrest and damage biomarkers improve prediction of progression and mortality of sepsis associated acute kidney injury?

Mohamed Mamdouh Elsayed, Ahmed Elsayed Eldeeb, Mona Moustafa Tahoun, Hala Saddik El-Wakil, Salah Said Naga

Registry-linked trialAbstract readClinical Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in BMC nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06064487 (Role of Renal Cell Arrest and Damage Biomarkers in Progression and Outcome of Sepsis Associated AKI), which is not on this map. Cited by 2 papers, 1 of them a synthesis that pooled it.

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

NCT06064487 nacompletednot on this map

Role of Renal Cell Arrest and Damage Biomarkers in Progression and Outcome of Sepsis Associated AKI

TypeinterventionalSponsorAlexandria UniversityRan2023 to 2024Enrolled80ConditionsAKI - Acute Kidney InjuryArmsrenal cell arrest and damage biomarkers assessment
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. 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

5 authors.

Mohamed Mamdouh ElsayedNephrology and Internal Medicine Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
Ahmed Elsayed EldeebNephrology and Internal Medicine Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt. ahmedeldeeb392@yahoo.com.
Mona Moustafa TahounClinical and Chemical Pathology Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
Hala Saddik El-WakilNephrology and Internal Medicine Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
Salah Said NagaNephrology and Internal Medicine Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis associated acute kidney injury (SA-AKI) among hospitalized patients is common with higher morbidity and mortality. There is a need to discover new methods that allow better prediction of its outcomes and prognosis. We aimed to evaluate if combining serial examination of urine sediment to renal cell damage (KIM-1) and arrest (TIMP-2, IGFBP7) biomarkers could improve the prediction of progression and mortality of SA-AKI.

methodsThis prospective study enrolled 96 patients with stage 1 or 2 SA-AKI. Measuring of urinary TIMP-2, IGFBP7 and KIM-1 was done at time of AKI diagnosis and examination of urine sediment was performed by calculating Chawla score (CS) and Perazella score (PS) at days 1, 3 and 7. Main study outcomes included AKI progression to stage 3 and mortality.

resultsNinety-six patients were included in the study. 48% of them progressed to AKI stage 3 and 33.3% died. uTIMP2*IGFBP7 and uKIM-1 showed an area under the curve (AUC) of 0.837 and 0.657 respectively for predicting AKI progression and an AUC of 0.679 and 0.626 respectively for predicting mortality. Combining urine sediment examination at day 3 (P2 and C2) to uTIMP2*IGFBP7, uKIM-1 and both biomarkers significantly improved their prediction ability to an AUC of to 0.977, 0.951 and 0.979 respectively to predict AKI progression, and to an AUC of 0.807, 0.796 and 0.803 respectively to predict mortality.

conclusionsCombining urine sediment examination with renal cell damage and arrest biomarkers significantly improved their performance of predicting AKI progression and mortality in patients with SA-AKI. CLINICAL TRIALS REGISTRATION: ClinicalTrials.gov Identifier: NCT06064487. First registration date: 21/09/2023.

Indexed as

Acute Kidney InjurySepsisAgedBiomarkersDisease ProgressionFemaleHepatitis A Virus Cellular Receptor 1HumansInsulin-Like Growth Factor Binding ProteinsMaleMiddle AgedPredictive Value of TestsPrognosisProspective StudiesTissue Inhibitor of Metalloproteinase-2UrinalysisBiomarkersHAVCR1 protein, humanHepatitis A Virus Cellular Receptor 1insulin-like growth factor binding protein-related protein 1Insulin-Like Growth Factor Binding ProteinsTIMP2 protein, humanTissue Inhibitor of Metalloproteinase-2IGFBP7KIM-1Renal cell damage and arrest markersSepsis associated acute kidney injuryTIMP-2Urine sediment examination

Identifiers

PMID40247231
PMCPMC12004636

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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.