Key result
Adolescents with polycystic ovarian syndrome did not differ significantly from healthy controls in respiratory polysomnographic variables such as the apnea-hypopnea index, regardless of weight status, but demonstrated differences in sleep architecture.
Why the study?
Do polysomnographic variables differ between adolescents with PCOS and healthy controls?
Case-Control (n=81)
No
Do polysomnographic variables differ between adolescents with PCOS and healthy controls?
p-value: p=0.08
Adolescents with PCOS do not differ from healthy controls in respiratory sleep variables regardless of weight status, but exhibit differences in sleep architecture.
No adjustment to OSA evaluation indicated for adolescent PCOS; leaves open clinical relevance of sleep architecture differences.
The prevalence of obstructive sleep apnea syndrome (OSAS) is clearly increased in adults with polycystic ovarian syndrome (PCOS). The symptoms of PCOS usually begin around menarche. However, data concerning poly¬somnographic variables in adolescents with PCOS are limited. As obesity is a well-known risk factor for OSAS, we aimed to analyze differences in polysomnographic variables between obese and extremely obese adolescents with PCOS and healthy, normal-weight, obese, and extremely obese controls. Methods: Sixteen obese and 17 extremely obese adolescents with PCOS, 18 normal-weight, 17 obese, and 13 extremely obese controls underwent polysomno¬graphy to compare mean transcutaneous arterial oxygen saturation (Sat O2), apnea-index (AI), hypopnea- index (HI), apnea-hypopnea index (AHI), the absolute number of obstructive apneas (NOA), percentage sleep stages 3 and 4 of non REM-sleep (stages 3 & 4), percentage of REM-sleep (% REM), sleep-onset latency, and sleep efficiency. Results: We found no significant differences between the groups concerning AI, HI, AHI, NOA, and stages 3 & 4. Significant differ¬ences between the groups were found regarding Sat O2, % REM, sleep-onset latency, and sleep efficiency. Conclusions: Concerning the respiratory variables, adolescents with PCOS do not seem to differ from healthy controls regardless of weight status, but there seem to be differences in sleep architecture.
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Sousa et al. (2010) conducted a case-control in Polycystic Ovarian Syndrome (PCOS) (n=81). Polycystic Ovarian Syndrome (PCOS) vs. Healthy controls (normal-weight, obese, and extremely obese) was evaluated on Apnea-Hypopnea Index (AHI) (p=0.08). Adolescents with polycystic ovarian syndrome did not differ significantly from healthy controls in respiratory polysomnographic variables such as the apnea-hypopnea index, regardless of weight status, but demonstrated differences in sleep architecture.
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