ArticleJournal of clinical medicine2020
Gender Phenotyping of Patients with Obstructive Sleep Apnea Syndrome Using a Network Science Approach.
Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 18 citations in OpenAlex.
- Onco-Hem Connectome-Network-Based Phenotyping of Polypharmacy and Drug-Drug Interactions in Onco-Hematological Inpatients.Pharmaceutics · 2026Article
- The Role of Oxidative Stress and the Potential Therapeutic Benefits ofAntioxidants (Basel, Switzerland) · 2024Review
- Gender differences in obstructive sleep apnea syndrome: a pilot study.Sleep & breathing = Schlaf & Atmung · 2024Article
- Osteoporosis: a problem still faulty addressed by the Romanian healthcare system. Results of a questionnaire survey of people aged 40 years and over.Frontiers in medicine · 2024Article
- Screening for Obstructive Sleep Apnea Risk by Using Machine Learning Approaches and Anthropometric Features.Sensors (Basel, Switzerland) · 2022Article
- Obstructive Sleep Apnea Syndrome Comorbidity Phenotypes in Primary Health Care Patients in Northern Greece.Healthcare (Basel, Switzerland) · 2022Article
- Incorporating neck circumference or neck-to-height ratio into the GOAL questionnaire to better detect and describe obstructive sleep apnea with application to clinical decisions.Frontiers in neuroscience · 2022Article
- Enhancing Obstructive Sleep Apnea Diagnosis With Screening Through Disease Phenotypes: Algorithm Development and Validation.JMIR medical informatics · 2021Article
- Evaluation of Obstructive Sleep Apnea Phenotypes Treatment Effectiveness.Medicina (Kaunas, Lithuania) · 2021Article
- Gender differences of clinical and polysomnographic findings with obstructive sleep apnea syndrome.Scientific reports · 2021Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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 NC, followed by daytime sleepiness and high BP or obesity. Furthermore, all unique female phenotypes have high BP, followed by obesity and sleepiness. We uncovered gender-related differences in terms of associated OSAS parameters. In males, we defined the pattern large NC-sleepiness-high BP as an OSAS predictor, while in women, we found the pattern of high BP-obesity-sleepiness. These insights are useful for increasing awareness, improving diagnosis, and treatment response.
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