Unknown

Dataset Information

Gender Phenotyping of Patients with Obstructive Sleep Apnea Syndrome Using a Network Science Approach.


ABSTRACT: We defined gender-specific phenotypes for men and women diagnosed with obstructive sleep apnea syndrome (OSAS) based on easy-to-measure anthropometric parameters, using a network science approach. We collected data from 2796 consecutive patients since 2005, from 4 sleep laboratories in Western Romania, recording sleep, breathing, and anthropometric measurements. For both genders, we created specific apnea patient networks defined by patient compatibility relationships in terms of age, body mass index (BMI), neck circumference (NC), blood pressure (BP), and Epworth sleepiness score (ESS). We classified the patients with clustering algorithms, then statistically analyzed the groups/clusters. Our study uncovered eight phenotypes for each gender. We found that all males with OSAS have a large

SUBMITTER: Topirceanu A 

PROVIDER: S-EPMC7764072 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature