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

Tom Velez Oluwakemi Badaki-Makun Danielle Mercurio D. Hirsch Holly E. Depinet M. Dewan R. Kamaleswaran Jocelyn Grunwell Tyrus Vong Cody Cross Maria Triantafyllou Nora Wolff Fehima Abdelrahman Charles G. Macias Ioannis Koutroulis
Aug 2026 · Pediatric Research · 0 citations · 23 references
Medicine

TL;DR

A machine-learning model using eight routinely available clinical variables accurately predicts vasoactive medication need after two fluid boluses in pediatric suspected sepsis, identifying children at risk for fluid-refractory septic shock.

DOI PubMed Semantic Scholar
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