Evidence map›Paper›PMID 38446371›Full record

ArticleInternal and emergency medicine2024

Renal arterial resistive index versus novel biomarkers for the early prediction of sepsis-associated acute kidney injury.

Taysser Zaitoun, Mohamed Megahed, Hesham Elghoneimy, Doaa M Emara, Ibrahim Elsayed, Islam Ahmed

Open access · hybridAbstract read
In one paragraph

Article in Internal and emergency medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 15 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Taysser ZaitounCritical Care Medicine Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt. tayseerzaytoun@gmail.com.
Mohamed MegahedCritical Care Medicine Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
Hesham ElghoneimyInternal Medicine Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
Doaa M EmaraRadiodiagnosis and Interventional Radiology Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
Ibrahim ElsayedCritical Care Medicine Department, Faculty of Medicine, KFS University, Kafrelsheikh, Egypt.
Islam AhmedPublic Health and Community Medicine Department, Faculty of Medicine, Suez-Canal University, Ismaili, Egypt.
Alexandria University · EGKafrelsheikh University · EGSuez Canal University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute kidney injury (AKI) is a critical complication of sepsis. There is a continuous need to identify and validate biomarkers for early detection. Serum and urinary biomarkers have been investigated, such as neutrophil gelatinase associated lipocalin (NGAL) and cystatin C (Cys C), but their reliability in the intensive care unit (ICU) remains unknown. Renal hemodynamics can be investigated by measuring the renal resistive index (RRI). This study aimed to compare the performance of RRI, serum NGAL (sNGAL), urinary NGAL (uNGAL), and serum Cys C levels as early predictors of the diagnosis and persistence of sepsis-associated AKI. A total of 166 adult patients with sepsis syndrome were enrolled immediately after ICU admission. Biomarkers were measured directly (T1) and on day 3 (T3). RRI was measured directly (T1) and 24 h later (T2). Patients were categorized (according to the occurrence and persistence of AKI within the first 7 days) into three groups: no AKI, transient AKI, and persistent AKI. The incidence rate of sepsis-associated AKI was 60.2%. Sixty-six patients were categorized as in the no AKI group, while another 61 were in transient AKI and only 39 were in persistent AKI. The RRI value (T1 ≥ 0.72) was the best tool for predicting AKI diagnosis (area under the receiver operating characteristic curve, AUROC = 0.905). Cys C (T1 ≥ 15.1 mg/l) was the best tool to predict the persistence of AKI (AUROC = 0.977). RRI (T1) was the best predictive tool for sepsis-associated AKI, while Cys C was the best predictor of its persistence and 28-day mortality.

Indexed as

Acute Kidney InjuryBiomarkersCystatin CLipocalin-2SepsisAgedEarly DiagnosisFemaleHumansIntensive Care UnitsMaleMiddle AgedPredictive Value of TestsProspective StudiesRenal ArteryROC CurveBiomarkersCystatin CLCN2 protein, humanLipocalin-2Acute kidney injuryCystatin CDiagnosisNGALRenal resistive indexSensitivity and specificitySepsisSepsis-associated acute kidney injury

Identifiers

PMID38446371
PMCPMC11186936
OpenAlexW4392506130

What OpenQuestion holds

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LicenceCC BY
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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.