Work

Development of a machine-learning risk stratification tool for vasoactive medication need after two-bolus fluid resuscitation in pediatric suspected sepsis

Year: 2026

Type: article

Study design: Observational Study

Source: Pediatric Research

DOI: 10.1038/s41390-026-05409-2

Authors: Tom Velez, Oluwakemi Badaki-Makun, Danielle Claire Mercurio, Danielle Hirsch, Holly Depinet, Maya Dewan, Rishikesan Kamaleswaran, Jocelyn Grunwell, Tyrus Vong, Cody Cross, Maria Triantafyllou, Nora Wolff, Fehima Abdelrahman, Charles Macias, Ioannis Koutroulis

Institutions: Johns Hopkins University, Johns Hopkins Medicine, Johns Hopkins All Children's Hospital, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Duke University, Duke Medical Center, Emory University, Children's Healthcare of Atlanta, Children's National, Rainbow Babies & Children's Hospital, Case Western Reserve University, George Washington University

Language: English

Topic: Sepsis Diagnosis and Treatment

Subfield: Epidemiology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W7204666303

FWCI:

Cites: 31

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