Identification of novel sub-phenotypes of severe ARDS requiring ECMO using latent class analysis

The three sub-phenotypes showed different mortality rates and different relationships between higher PEEP settings in the early phase of V-V ECMO and patient outcomes. Our data suggest that we may need to change our management approach to patients with severe ARDS during V-V ECMO according to their clinical sub-phenotype.

Authors

Institutions

Publication Details

Journal
Critical Care
Published
2024-10-24
DOI
https://doi.org/10.1186/s13054-024-05143-3
Citations
13
Primary Topic
Respiratory Support and Mechanisms
Type
article
Field-Weighted Citation Impact
5.45

Funders

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

Identification of novel sub-phenotypes of severe ARDS requiring ECMO using latent class analysis

Naofumi Bunya, Giacomo Bellani, Junichi Maruyama, Mamoru Masuda et al.
13 citations
Critical Care
Respiratory Support and Mechanisms
5.45
article

Identification of novel sub-phenotypes of severe ARDS requiring ECMO using latent class analysis

Naofumi Bunya, Giacomo Bellani, Junichi Maruyama, Mamoru Masuda, Kazuki Matsumura, Kenji Fujizuka, Yoshihiro Hagiwara, Shinichiro Ohshimo, Keibun Liu, Michihito Kyo, Ryuichi Nakayama, Takayuki Ogura, Wataru Fukumoto, Nobuaki Shime, Mitsuaki Nishikimi, Junki Ishii, Kunihiko Takahashi, Mitsunobu Nakamura, Kazuo Awai, Jun Hamaguchi, Keiki Shimizu, Tatsuhiko Anzai
article en
13 citations

Abstract

The three sub-phenotypes showed different mortality rates and different relationships between higher PEEP settings in the early phase of V-V ECMO and patient outcomes. Our data suggest that we may need to change our management approach to patients with severe ARDS during V-V ECMO according to their clinical sub-phenotype.

Critical CareVol. 28(1)
Hiroshima University (JP), Tokyo Medical and Dental University (JP), Sapporo Medical University (JP), The University of Queensland (AU), University of Trento (IT), Ospedale Santa Chiara (IT), Fukuoka University Hospital (JP), Maebashi Red Cross Hospital (JP), Saiseikai Utsunomiya hospital (JP), Prince Charles Hospital (AU), Tokyo Metropolitan Tama Medical Center (JP)
Japan Agency for Medical Research and Development, Fukuoka University, Japan Society for the Promotion of Science
Openalex Percentile: Top 4%
Respiratory Support and Mechanisms
5.45
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.