Microvascular phenotypes in pediatric sepsis identified by machine learning: prognostic implications for organ dysfunction and mortality

doi:10.1186/s13054-025-05785-x

Microvascular phenotypes in pediatric sepsis identified by machine learning: prognostic implications for organ dysfunction and mortality

School of Medicine and Health Sciences

Research output: Contribution to Journal › Research Article › peer-review

Original language	English (US)
Pages (from-to)	61
Number of pages	1
Journal	Critical Care
Volume	30
Issue number	1
DOIs	https://doi.org/10.1186/s13054-025-05785-x
State	Published - Feb 5 2026

All Science Journal Classification (ASJC) codes

Critical Care and Intensive Care Medicine

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10.1186/s13054-025-05785-x

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@article{006f6687270b402aa33bcacc3e652ce3,

title = "Microvascular phenotypes in pediatric sepsis identified by machine learning: prognostic implications for organ dysfunction and mortality",

author = "Beltr{\'a}n, \{Juan Carlos\} and Jaime Fern{\'a}ndez-Sarmiento and Orjuela-Ca{\~n}{\'o}n, \{Alvaro David\} and Sanchez-Pinto, \{L. Nelson\} and Fern{\'a}ndez-Sarta, \{Juan Pablo\} and Rotta, \{Isabella La\} and Daniel Fern{\'a}ndez-Sarta and Alejandro Coutin and Godoy, \{Juan Esteban\} and Hans Vink and Sainath Raman and Niranjan Kissoon",

year = "2026",

month = feb,

day = "5",

doi = "10.1186/s13054-025-05785-x",

language = "English (US)",

volume = "30",

pages = "61",

journal = "Critical Care",

issn = "1364-8535",

publisher = "BioMed Central",

number = "1",

}

TY - JOUR

T1 - Microvascular phenotypes in pediatric sepsis identified by machine learning

T2 - prognostic implications for organ dysfunction and mortality

AU - Beltrán, Juan Carlos

AU - Fernández-Sarmiento, Jaime

AU - Orjuela-Cañón, Alvaro David

AU - Sanchez-Pinto, L. Nelson

AU - Fernández-Sarta, Juan Pablo

AU - Rotta, Isabella La

AU - Fernández-Sarta, Daniel

AU - Coutin, Alejandro

AU - Godoy, Juan Esteban

AU - Vink, Hans

AU - Raman, Sainath

AU - Kissoon, Niranjan

PY - 2026/2/5

Y1 - 2026/2/5

UR - https://www.scopus.com/pages/publications/105029780011

UR - https://www.scopus.com/pages/publications/105029780011#tab=citedBy

U2 - 10.1186/s13054-025-05785-x

DO - 10.1186/s13054-025-05785-x

M3 - Research Article

C2 - 41645301

AN - SCOPUS:105029780011

SN - 1364-8535

VL - 30

SP - 61

JO - Critical Care

JF - Critical Care

IS - 1

ER -

Microvascular phenotypes in pediatric sepsis identified by machine learning: prognostic implications for organ dysfunction and mortality

All Science Journal Classification (ASJC) codes

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