Mobile ECMO for inter-hospital transport of pediatric patients: experience from 22 cases

The availability and safety of mobile ECMO for inter-hospital transport of critically ill children could be improved with the support of a well-equipped technical team in a time-effective manner, saving patient lives.

Authors

Institutions

Publication Details

Journal
Frontiers in Pediatrics
Published
2025-09-24
DOI
https://doi.org/10.3389/fped.2025.1664454
Primary Topic
Cardiac Arrest and Resuscitation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mobile ECMO for inter-hospital transport of pediatric patients: experience from 22 cases

Jiaotian Huang, Xiangni Wang, Zhenghui Xiao, Xiulan Lu et al.
Frontiers in Pediatrics
Cardiac Arrest and Resuscitation
article

Mobile ECMO for inter-hospital transport of pediatric patients: experience from 22 cases

Jiaotian Huang, Xiangni Wang, Zhenghui Xiao, Xiulan Lu, Yufan Yang, Xinping Zhang
article en

Abstract

The availability and safety of mobile ECMO for inter-hospital transport of critically ill children could be improved with the support of a well-equipped technical team in a time-effective manner, saving patient lives.

Frontiers in PediatricsVol. 13
Central South University (CN), Hunan Academy of Traditional Chinese Medicine (CN), Hunan Children's Hospital (CN), University of South China (CN)
National Natural Science Foundation of China, Hunan Provincial Science and Technology Department
Openalex Percentile: Top 61%
Cardiac Arrest and Resuscitation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.