Efficacy of early pulmonary rehabilitation in severe and critically ill COVID-19 patients: a retrospective cohort study

Early pulmonary rehabilitation may prevent disease progression and reduce mortality in patients with severe COVID-19. These findings may be helpful for formulating an optimal rehabilitation strategy.

Authors

Institutions

Publication Details

Journal
BMC Pulmonary Medicine
Published
2025-04-29
DOI
https://doi.org/10.1186/s12890-025-03678-x
Citations
3
Primary Topic
Intensive Care Unit Cognitive Disorders
Type
article
Field-Weighted Citation Impact
4.64

Funders

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

Efficacy of early pulmonary rehabilitation in severe and critically ill COVID-19 patients: a retrospective cohort study

Xiaodong He, Xiaomeng Gu, Huqin Yang, Xue Wang et al.
3 citations
BMC Pulmonary Medicine
Intensive Care Unit Cognitive Disorders
4.64
article

Efficacy of early pulmonary rehabilitation in severe and critically ill COVID-19 patients: a retrospective cohort study

Xiaodong He, Xiaomeng Gu, Huqin Yang, Xue Wang, Haomiao Ma, Zhaohui Tong, Yi Ren
article en
3 citations

Abstract

Early pulmonary rehabilitation may prevent disease progression and reduce mortality in patients with severe COVID-19. These findings may be helpful for formulating an optimal rehabilitation strategy.

BMC Pulmonary MedicineVol. 25(1)
Capital Medical University (CN), Beijing Chao-Yang Hospital, Capital Medical University (CN), Capital University of Physical Education and Sports (CN)
Ministry of Science and Technology of the People's Republic of China
Openalex Percentile: Top 6%
Intensive Care Unit Cognitive Disorders
4.64
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.