Prevalence and characterization of positional obstructive sleep apnea with peripheral arterial tonometry in a real-world Colombian cohort

Purpose Positional obstructive sleep apnea (POSA) is a common but heterogeneous phenotype of obstructive sleep apnea (OSA), and its identification may inform more personalized therapy. This study aims to characterize POSA and non-POSA phenotypes in a real-world cohort using peripheral arterial tonom...

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Vydáno v:Sleep & breathing Ročník 29; číslo 4; s. 257
Hlavní autoři: Vanegas-Cadavid, Diego I., Blanco-Ruíz, Andrés Felipe
Médium: Journal Article
Jazyk:angličtina
Vydáno: Cham Springer International Publishing 30.07.2025
Springer Nature B.V
Témata:
Adults
Anatomical systems
Anthropometry
Apnea
Automation
Body mass index
Classification
Classification systems
Clinical variables
Continuous positive airway pressure
Dentistry
Indexes
Internal Medicine
Medicine
Medicine & Public Health
Neurology
Obesity
Obstructive sleep apnea
Otorhinolaryngology
Overweight
Oxygen
Patients
Pediatrics
Phenotypes
Phenotyping
Pneumology/Respiratory System
Questionnaires
Saturation
Sleep
Sleep apnea
Sleep Breathing Physiology and Disorders • Original
Sleep Breathing Physiology and Disorders • Original Article
Sleep disorders
Susceptibility
Variables
Sleep posture
Positional obstructive sleep apnea
Prevalence
Diagnostic criteria
Real-World data
PAT-HSAT
ISSN:1520-9512, 1522-1709, 1522-1709
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Shrnutí:Purpose Positional obstructive sleep apnea (POSA) is a common but heterogeneous phenotype of obstructive sleep apnea (OSA), and its identification may inform more personalized therapy. This study aims to characterize POSA and non-POSA phenotypes in a real-world cohort using peripheral arterial tonometry-based home sleep apnea testing (PAT-HSAT). Methods A retrospective analysis was performed on adults referred for PAT-HSAT at a single center in Colombia. Subjects were classified as POSA or non-POSA based on standard positional indices. Clinical variables, oxygen desaturation index (ODI4%), time with oxygen saturation below 90% (T < 90), and other sleep metrics were compared between groups. Results The prevalence of POSA varied by classification: Cartwright (38.4%), Levendowski (30.8%), Bignold (21.7%), Mador (7.0%), and APOC Global (46.1%). Significant physiological differences were observed between APOC subgroups. APOC I exhibited the lowest respiratory event indices (pAHI 3%: 10.6 events/h; ODI4%: 5.7 events/h), while APOC III patients showed severe respiratory compromise and hypoxaemia (pAHI 3%: 51.0 events/h; ODI4%: 34.9 events/h; T < 90: 166.8 min; all p  < 0.001). Conclusion POSA is prevalent in this Colombian cohort, and the APOC classification effectively captures a broad spectrum of positional phenotypes. Unlike other classification systems, APOC provides a more comprehensive approach to positional characterization. Furthermore, PAT-HSAT emerges as a valid and ecologically alternative tool for postural phenotyping, offering potential for more individualized management of OSA based on positional susceptibility.
Bibliografie:ObjectType-Article-1
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ISSN:1520-9512
1522-1709
1522-1709
DOI:10.1007/s11325-025-03429-6