Obstructive Sleep Apnea Syndrome Phenotyping by Cluster Analysis: Typical Sleepy, Obese Middle-aged Men with Desaturating Events are A Minority of Patients in A Multi-ethnic Cohort of 33% Women

Overstraeten, Chloé Van; Andreozzi, Fabio; Youssef, Sidali Ben; Bold, Ionela; Carlier, Sarah; Gruwez, Alexia; Bruyneel, Anne-Violette; Bruyneel, Marie

doi:10.1007/s11596-021-2388-0

Cited by 4 publications

(2 citation statements)

References 29 publications

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“…Using home-PSG would bring an added value to assessment of sleep position, REM, and supine OSA in the patients’ usual sleep environment. To obtain a population sample that would allow sufficient representation of all the factors possibly associated with the persistence of OSA post-operatively, based on the prevalence of these factors as followed: menopausal women, 20%, ethnicity other than Caucasians, 30%, 47 craniofacial anomalies, 30%, 48 REM-predominant OSA, 30%, 49 T2D, 40% in a bariatric population, the sample size should be 300 patients in each arm (surgery/behavioral intervention). To obtain this population of 600 OSA patients eligible for RYGB, 1200 patients would have to be screened.…”

Section: Discussionmentioning

confidence: 99%

Factors Associated with Persistent Obstructive Sleep Apnea After Bariatric Surgery: A Narrative Review

Demaeyer,

Bruyneel

2024

NSS

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The prevalence of obstructive sleep apnea (OSA) among the bariatric surgery population is estimated to be 45–70%. However, weight loss obtained by bariatric surgery is not always associated with full remission of OSA, suggesting that other confounding factors are present. This article aims to review the current literature, focusing on factors that could predict the persistence of OSA after bariatric surgery. For this purpose, relevant studies of more than 50 patients that assessed pre- and post-operative presence and severity of OSA detected by poly(somno)graphy (PG/PSG) in bariatric populations were collected. Six retrospective and prospective studies were evaluated that included 1302 OSA patients, with a BMI range of 42.6 to 56 kg/m 2 , age range of 44.8 to 50.7 years, and percentage of women ranging from 45% to 91%. The studies were very heterogeneous regarding type of bariatric surgery, diagnostic criteria for OSA and OSA remission, and delay of OSA reassessment. OSA remission was observed in 26% to 76% of patients at 11–12 months post-surgery. Loss to follow-up was high in all studies, leading to a potential underestimation of OSA remission. Based on this limited sample of bariatric patients, age, pre-operative OSA severity, proportion of weight loss, and type 2 diabetes (T2D) were identified as factors associated with OSA persistence but the results were inconsistent between studies regarding the impact of age and the magnitude of weight loss. Several other factors may potentially lead to OSA persistence in the bariatric surgery population, such as fat distribution, ethnicity, anatomical predisposition, pathophysiological traits, supine position, and REM-predominant hypopnea and apnea. Further well-conducted multicentric prospective studies are needed to document the importance of these factors to achieve a better understanding of OSA persistence after bariatric surgery in obese patients.

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Section: Discussionmentioning

confidence: 99%

Factors Associated with Persistent Obstructive Sleep Apnea After Bariatric Surgery: A Narrative Review

Demaeyer,

Bruyneel

2024

NSS

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“…Some years ago, we were the first to employ, categorical principal component analysis (CATPCA) in combination with cluster analysis in an OSAS population in order to detect comorbidity phenotypes [ 4 ]. Our scope was to identify the interplay between OSAS and its comorbidities, an approach that had served well in phenotyping in other areas and that also gained popularity after our study in the OSAS field [ 5 , 6 , 7 , 8 , 9 , 10 , 11 ].…”

Section: Introductionmentioning

confidence: 99%

Obstructive Sleep Apnea Syndrome Comorbidity Phenotypes in Primary Health Care Patients in Northern Greece

et al. 2022

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Background: Obstructive sleep apnea syndrome (OSAS) is a significant public health issue. In the general population, the prevalence varies from 10% to 50%. We aimed to phenotype comorbidities in OSAS patients referred to the primary health care (PHC) system. Methods: We enrolled 1496 patients referred to the PHC system for any respiratory- or sleep-related issue from November 2015 to September 2017. Some patients underwent polysomnography (PSG) evaluation in order to establish OSAS diagnosis. The final study population comprised 136 patients, and the Charlson comorbidity index was assessed. Categorical principal component analysis and TwoStep clustering was used to identify distinct clusters in the study population. Results: The analysis revealed three clusters: the first with moderate OSAS, obesity and a high ESS score without significant comorbidities; the second with severe OSAS, severe obesity with comorbidities and the highest ESS score; and the third with severe OSAS and obesity without comorbidities but with a high ESS score. The clusters differed in age (p < 0.005), apnea–hypopnea index, oxygen desaturation index, arousal index and respiratory and desaturation arousal index (p < 0.001). Conclusions: Predictive comorbidity models may aid the early diagnosis of patients at risk in the context of PHC and pave the way for personalized treatment.

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Sleep apnoea phenotypes in women: A cluster analysis from the ESADA cohort

Pataka,

Pepin,

Bonsignore

et al. 2024

Sleep Medicine

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Obstructive Sleep Apnea Syndrome Phenotyping by Cluster Analysis: Typical Sleepy, Obese Middle-aged Men with Desaturating Events are A Minority of Patients in A Multi-ethnic Cohort of 33% Women

Cited by 4 publications

References 29 publications

Factors Associated with Persistent Obstructive Sleep Apnea After Bariatric Surgery: A Narrative Review

Factors Associated with Persistent Obstructive Sleep Apnea After Bariatric Surgery: A Narrative Review

Obstructive Sleep Apnea Syndrome Comorbidity Phenotypes in Primary Health Care Patients in Northern Greece

Sleep apnoea phenotypes in women: A cluster analysis from the ESADA cohort

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