Multidimensional phenotyping to distinguish among central (CSA), obstructive (OSA) and co-existing central and obstructive sleep apnea (CSA-OSA) phenotypes in real-world data

Our findings imply that not differentiating between central and obstructive hypopneas will underestimate the severity of central sleep disordered breathing abnormalities that mislead therapeutic decisions and might limit improvements in quality of life and sleepiness that are expected in appropriately treated patients with CSA.

Authors

Institutions

Publication Details

Journal
Sleep Medicine
Published
2024-10-03
DOI
https://doi.org/10.1016/j.sleep.2024.09.040
Citations
10
Primary Topic
Obstructive Sleep Apnea Research
Type
article
Field-Weighted Citation Impact
3.27

Funders

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

Multidimensional phenotyping to distinguish among central (CSA), obstructive (OSA) and co-existing central and obstructive sleep apnea (CSA-OSA) phenotypes in real-world data

Sébastien Bailly, Van Ngo, Rami Khayat, Matthieu Warde et al.
10 citations
Sleep Medicine
Obstructive Sleep Apnea Research
3.27
article

Multidimensional phenotyping to distinguish among central (CSA), obstructive (OSA) and co-existing central and obstructive sleep apnea (CSA-OSA) phenotypes in real-world data

Sébastien Bailly, Van Ngo, Rami Khayat, Matthieu Warde, Scott McKane, Jean‐Louis Pépin, Robin Germany, Sébastien Baillieul, Alan R. Schwartz, Renaud Tamisier
article en
10 citations

Abstract

Our findings imply that not differentiating between central and obstructive hypopneas will underestimate the severity of central sleep disordered breathing abnormalities that mislead therapeutic decisions and might limit improvements in quality of life and sleepiness that are expected in appropriately treated patients with CSA.

Sleep MedicineVol. 124
Inserm (FR), Universidad Peruana Cayetano Heredia (PE), University of California, Irvine (US), Centre Hospitalier Universitaire de Grenoble (FR), Cargill (United States) (US), Irvine University (US), University of Oklahoma (US), Université Grenoble Alpes (FR)
Respicardia
Zero hunger
Openalex Percentile: Top 7%
Obstructive Sleep Apnea Research
3.27
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.

Multidimensional phenotyping to distinguish among central (CSA), obstructive (OSA) and co-existing central and obstructive sleep apnea (CSA-OSA) phenotypes in real-world data — Sébastien Bailly, Van Ngo, et al. · Sleep Medicine (2024) | TGRS Research Map | TGRS