Evidence map›Paper›PMID 40637493›Full record

Observational studyPediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies2025

Derivation and Validation of Pediatric Sepsis-Associated Acute Kidney Injury Subphenotypes With Prognostic Relevance.

Natalja L Stanski, Bin Zhang, Jiarong Ouyang, L Nelson Sanchez-Pinto, E Vincent S Faustino, Colin M Rogerson, Mark W Hall, Scott L Weiss, Tellen D Bennett, Stephen W Standage and 3 more

Abstract readObservational StudyValidation Study
In one paragraph

Observational study in Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Observational
  4. Research progress on biomarkers for acute kidney injury in children.Pediatric nephrology (Berlin, Germany) · 2026
    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

13 authors.

Natalja L StanskiDivision of Critical Care Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.ORCID 0000-0003-4473-8376
Bin ZhangDepartment of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
Jiarong OuyangDepartment of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
L Nelson Sanchez-PintoDepartment of Pediatrics, Northwestern University Feinberg School of Medicine and Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL.
E Vincent S FaustinoDepartment of Pediatrics, Yale School of Medicine, New Haven, CT.
Colin M RogersonDepartment of Pediatrics, Indiana University School of Medicine, Riley Hospital for Children, Indianapolis, IN.
Mark W HallDepartment of Pediatrics, The Ohio State University School of Medicine and Nationwide Children's Hospital, Columbus, OH.
Scott L WeissDivision of Critical Care Medicine, Nemours Children's Hospital, Wilmington, DE.
Tellen D BennettDepartments of Biomedical Informatics and Pediatrics (Critical Care Medicine), University of Colorado School of Medicine, Aurora, CO.
Stephen W StandageDivision of Critical Care Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
Stuart L GoldsteinDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH.
Kathleen D LiuDepartment of Medicine, University of California San Francisco Medical Center, San Francisco, CA.
New Collective Author

Funding

Phenotype prediction and therapeutic targets in high-risk pediatric sepsis-associated MODSR01HD113695 · NICHD · LURIE CHILDREN'S HOSPITAL OF CHICAGO · PI Lazaro Nelson Sanchez-Pinto · 2024 to 2026
$1.2M
Developing a Precision Medicine Approach to Pediatric Sepsis-Associated Acute Kidney Injury: Identification of Unique Subphenotypes and Strategies for Bedside ImplementationK23GM151444 · NIGMS · CINCINNATI CHILDRENS HOSP MED CTR · PI Natalja L. Stanski · 2023 to 2026
$769k
NICHD NIH HHS R01 HD113695NIGMS NIH HHS K23 GM151444
6 · The paper itself

Abstract

objectivesSepsis-associated acute kidney injury (SAKI) is a heterogeneous syndrome associated with poor outcomes. Subphenotypes of SAKI with prognostic and therapeutic relevance have been identified in adults, but not in children. We sought to identify reproducible and clinically relevant pediatric SAKI (pSAKI) subphenotypes using readily available clinical and laboratory data.

designSecondary analysis of a retrospective observational study of pediatric sepsis.

settingThirteen PICUs in the United States from January 2012 to January 2018. PATIENTS: Patients aged 0-18 years with septic shock (sepsis and requiring vasoactive medications) and day 1-2 SAKI (≥ Kidney Disease Improving Global Outcomes stage 1 by serum creatinine).

interventionsNone. MEASUREMENTS AND MAIN

resultsFourteen hundred fifty-five patients were included after inclusion and exclusion criteria were applied: 873 (60%) in the derivation cohort and 582 (40%) in the external validation cohort. A two-subphenotype latent class analysis model had the best fit in both cohorts: pSAKI subphenotype 1 (pSAKI-1) and pSAKI subphenotype 2 (pSAKI-2). pSAKI-2 was characterized by younger age, more organ support, greater fluid accumulation, and laboratory evidence of inflammation, acid-base derangement, thrombocytopenia, and coagulopathy. pSAKI-2 had uniformly worse outcomes, including higher rates of severe and persistent AKI at days 3-4 (54% vs. 23%, p < 0.001) and day 7 (31% vs. 12%, p < 0.001), increased use of continuous renal replacement therapy (21% vs. 6%, p < 0.001), and independently increased odds of mortality after adjustment for potential confounders (adjusted odds ratio 1.59; 95% CI, 1.04-2.41; p = 0.03). A parsimonious classification model accurately identified pSAKI-2 membership (C-statistic 0.94 [95% CI, 0.92-0.95] and 0.85 [95% CI, 0.82-0.88], respectively, in the derivation and internal validation cohorts).

conclusionsWe identified two distinct early pSAKI subphenotypes using readily available data that exhibit differential risk for poor outcomes and can be identified from a parsimonious set of variables. Pending external validation, operationalization of pSAKI subphenotypes may allow for prognostic enrichment to guide clinical care and inform clinical trial enrollment.

Indexed as

Acute Kidney InjurySepsisShock, SepticAdolescentChildChild, PreschoolFemaleHumansInfantInfant, NewbornIntensive Care Units, PediatricMalePhenotypePrognosisRetrospective StudiesUnited Statesacute kidney injuryenrichmentpediatricssepsisseptic shocksubphenotypes

Identifiers

PMID40637493
PMCPMC12252218

What OpenQuestion holds

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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.