Evidence map›Paper›PMID 39811377›Full record

ArticleHeliyon2025

Urinary biomarkers for diagnosing acute kidney injury in sepsis in the emergency department.

Sumin Baek, Inwon Park, Seonghye Kim, Young Woo Um, Hee Eun Kim, Kyunghoon Lee, Jae Hyuk Lee, You Hwan Jo

Abstract read
In one paragraph

Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Biological attributes of zinc-dependent endopeptidases in endothelial dysfunction associated with sepsis: a narrative review.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2025
    Review
  4. Article
  5. 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

8 authors.

Sumin BaekDepartment of Emergency Medicine, Seoul National University Bundang Hospital (SNUBH), Seongnam-si, South Korea.
Inwon ParkDepartment of Emergency Medicine, Seoul National University Bundang Hospital (SNUBH), Seongnam-si, South Korea.
Seonghye KimDepartment of Emergency Medicine, Seoul National University Bundang Hospital (SNUBH), Seongnam-si, South Korea.
Young Woo UmDepartment of Emergency Medicine, Seoul National University Bundang Hospital (SNUBH), Seongnam-si, South Korea.
Hee Eun KimDepartment of Emergency Medicine, Seoul National University Bundang Hospital (SNUBH), Seongnam-si, South Korea.
Kyunghoon LeeDepartment of Laboratory Medicine, Seoul National University Bundang Hospital (SNUBH), Seongnam-si, South Korea.
Jae Hyuk LeeDepartment of Emergency Medicine, Seoul National University Bundang Hospital (SNUBH), Seongnam-si, South Korea.
You Hwan JoDepartment of Emergency Medicine, Seoul National University Bundang Hospital (SNUBH), Seongnam-si, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Development of acute kidney injury (AKI) in patients with sepsis is associated with increased mortality, highlighting the importance of early detection and management. However, baseline creatinine or urine output measurements are required for AKI diagnosis, which can be challenging in emergency departments (EDs). We aimed to evaluate the association between urinary biomarkers and the AKI diagnosis or 30-day survival status in patients with sepsis in the ED. Methods: This prospective observational study enrolled patients from a single ED. We enrolled adult patients presenting to the ED with symptoms suggestive of infection and an initial quick sequential organ failure assessment score ≥2. Initial urine samples were collected, and urinary biomarkers (dickkopf-3, soluble triggering receptor expressed on myeloid cells-1, kidney injury molecule-1, neutrophil gelatinase-associated lipocalin (NGAL), and tissue inhibitor of metalloproteinases-2 (TIMP-2), and insulin-like growth factor binding protein-7 (IGFBP-7), and TIMP-2 × IGFBP-7) were analyzed using an enzyme-linked immunosorbent assay kit. Multivariable logistic regression models were used to evaluate biomarker performance. Results: Of 84 patients, 63 (75.0 %) were diagnosed with AKI and 16 (19.0 %) died within 30 days. None of the urinary biomarkers demonstrated significant differences between the survivors and non-survivors. NGAL (p = 0.014) and TIMP-2 × IGFBP-7 (p = 0.027) levels were different between the AKI and non-AKI groups. The multivariable logistic regression model suggested a higher area under the receiver operating characteristic curve for models, including TIMP-2 × IGFBP-7 (from 0.853 to 0.889, p = 0.018). Conclusion: None of the urinary biomarkers in the initial urine sample demonstrated an independent association with AKI diagnosis or 30-day survival status in patients with sepsis presenting to the ED. Further studies with larger population are necessary to confirm its clinical utility and explore its role.

Indexed as

Acute kidney injuryBiomarkersEmergency serviceHospitalInsulin-like growth factor binding proteinsSepsisTissue inhibitor of Metalloproteinase-2

Identifiers

PMID39811377
PMCPMC11731463

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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.