Phenotypes of obstructive sleep apnea in women: A real-life cohort study.

doi:10.1016/j.sleep.2024.07.016

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Back to search

Article

Phenotypes of obstructive sleep apnea in women: A real-life cohort study.

Sleep medicine - 1 Sept 2024

Fontanilles Arbones Eva, Salord Oleo Neus, Gasa Galmes Mercè, Pérez Ramos Sandra, Prado Gala Eliseo, Calvo Sánchez Maria, Pallarès Fontanet Natàlia, Santos Pérez Salud, Monasterio Ponsa Carmen

Abstract excerpt

OBJECTIVE: Obstructive sleep apnea (OSA) is a complex, heterogeneous disease. Categorizing the disorder into phenotypes can help us better understand its pathology and guide us toward more personalized treatment approaches. Nevertheless, most of the previous cluster analysis (CA) studies in OSA p...

Topics

Humans
Sleep Apnea, Obstructive
Female
Cross-Sectional Studies
Phenotype
Middle Aged
Polysomnography
Cohort Studies
Adult
Risk Factors
Cardiovascular Diseases
Comorbidity
Cluster Analysis
Aged

Source

Open in PubMed

Identifiers

PMID: 39047303
DOI: 10.1016/j.sleep.2024.07.016

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 30 Aug 2026. Prepared record publication-39047303-2026-08-30.1. Manifest publication-graph-cohort-2026-08-30.1.

Source receipt: PubMed via Helena Literature Corpus, retrieved 30 Aug 2026.

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

discussions

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics