Evidence map›Paper›PMID 42241407›Full record

ArticleShock (Augusta, Ga.)2026

Identifying a Refractory Shock Phenotype in Pediatric Sepsis Using a Vasoactive-Adjusted Shock Index.

Cheolmin Matthew Lee, Mihir R Atreya, Tellen D Bennett, Reid Wd Farris, E Vincent S Faustino, Alon Geva, Colin M Rogerson, Sareen Shah, Scott Weiss, L Nelson Sanchez-Pinto

Abstract read
In one paragraph

Article in Shock (Augusta, Ga.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Cheolmin Matthew LeeDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Mihir R AtreyaDivision of Critical Care Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Tellen D BennettDepartments of Biomedical Informatics and Pediatrics (Critical Care), University of Colorado School of Medicine and Children's Hospital Colorado, Aurora, Colorado.
Reid Wd FarrisDepartment of Pediatrics, Division of Critical Care, University of Washington School of Medicine, Seattle, Washington.
E Vincent S FaustinoSection of Critical Care, Department of Pediatrics, Yale School of Medicine, New Haven, Connecticut.
Alon GevaDepartment of Anesthesiology, Critical Care, and Pain Medicine and Computational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts.
Colin M RogersonDepartment of Pediatrics, Division of Critical Care, Indiana University School of Medicine, Indianapolis, Indiana.
Sareen ShahDepartment of Pediatrics, Cedars-Sinai Medical Center, Los Angeles, California.
Scott WeissDivision of Critical Care, Department of Pediatrics, Nemours Children's Health, Wilmington, Delaware.
L Nelson Sanchez-PintoDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.

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
NICHD NIH HHS R01 HD113695
6 · The paper itself

Abstract

objectivesThis study aimed to: 1) develop a cardiovascular index that includes hemodynamic status and adjusts for vasoactive medication use; 2) identify pediatric patients with refractory septic shock (RSS) using early trends of the adjusted index, and 3) assess the heterogeneity of treatment effect (HTE) to common adjuvant therapies in RSS versus non-RSS patients.

methodsChildren with sepsis across 13 US pediatric intensive care units between 2012 and 2018 were included. The vasoactive-adjusted shock index (VASI) was derived using the shock index (heart rate/systolic pressure) and adjusted for vasoactive use. Group-based trajectory modeling was applied to 8-hour VASI trends following pediatric intensive care unit admission to stratify patients and replicated using K-means with dynamic time warping. HTE between RSS and non-RSS patients was analyzed using inverse-probability weighted logistic regression.

results17,216 patients were included (8.6% mortality). VASI demonstrated a robust progressive increase in clinical risk, outperforming other hemodynamic metrics at discriminating poor outcomes. Trajectory analysis identified four clusters, including a trajectory with persistently high VASI consistent with an RSS clinical phenotype. Unlike fluid balance and albumin use, hydrocortisone use on the first day was associated with lower mortality among RSS patients than among non-RSS patients (interaction, P = 0.002).

conclusionThe early trajectory of VASI identifies an RSS clinical phenotype associated with poor outcomes and HTE to adjuvant therapies. Integrating hemodynamic status and vasoactive use into early risk assessment in pediatric sepsis can help identify a high-risk RSS group, with both prognostic and therapeutic relevance.

Indexed as

SepsisShock, SepticVasoconstrictor AgentsAdolescentChildChild, PreschoolFemaleHemodynamicsHumansInfantIntensive Care Units, PediatricMalePhenotypeVasoconstrictor AgentsHeterogeneity of treatment responseslongitudinal clusteringrefractory septic shock; septic shockvasoactives

Identifiers

PMID42241407
PMCPMC13659929

What OpenQuestion holds

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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.