Optimal cutoff value of diaphragm thickening fraction for predicting high respiratory effort in mechanically ventilated patients

DTF correlates with P0.1 in mechanically ventilated patients. A 35.7 % DTF cutoff accurately identifies potentially injurious respiratory effort.

Authors

Institutions

Publication Details

Journal
Heart & Lung
Published
2025-10-23
DOI
https://doi.org/10.1016/j.hrtlng.2025.10.012
Primary Topic
Respiratory Support and Mechanisms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimal cutoff value of diaphragm thickening fraction for predicting high respiratory effort in mechanically ventilated patients

Kazuki Okura, Hajime Nakae, Yuji Kasukawa, Nobuhisa Hirasawa et al.
Heart & Lung
Respiratory Support and Mechanisms
article

Optimal cutoff value of diaphragm thickening fraction for predicting high respiratory effort in mechanically ventilated patients

Kazuki Okura, Hajime Nakae, Yuji Kasukawa, Nobuhisa Hirasawa, Manabu Okuyama, Naohisa Miyakoshi, Kasumi Satoh
article en

Abstract

DTF correlates with P0.1 in mechanically ventilated patients. A 35.7 % DTF cutoff accurately identifies potentially injurious respiratory effort.

Heart & LungVol. 75
Akita University (JP), Akita University Hospital (JP)
Openalex Percentile: Top 56%
Respiratory Support and Mechanisms
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.