Diagnosis of obstructive sleep apnea in women: Is there any difference?- Experience from a tertiary care hospital of North India

Prevalence of sleep apnea and lung function abnormalities in patients with acromegaly

Background:

Sleep apnea (SA) is highly prevalent in acromegaly. Ethnicity influences the prevalence of SA in the general population. We studied the prevalence of SA and other respiratory comorbidities in North Indian patients with active acromegaly.

Design:

Prospective, observational.

Materials and Methods:

Consecutive adult patients with active acromegaly (n = 35, age 39.7 ± 13.2 years) and hypersomatotropism (nonsuppression of serum growth hormone after oral glucose and elevated serum insulin-like growth factor-1 [IGF-1]) were evaluated for respiratory symptoms, scoring for SA (Epworth Sleepiness Score [ESS] and STOP-BANG), pulmonary function tests (PFT), high-resolution computerized tomography (HRCT) of the thorax, polysomnography (PSG), and transthoracic echocardiography. Age- and sex-matched healthy individuals (n = 34) served as controls.

Results:

Acromegaly subjects had dyspnea (34%), cough (37%), excessive daytime somnolence (43%), and fatigue (49%). Clinically significant ESS (>10) and STOP-BANG score (≥3) were present in 41% and 68.6% of subjects, respectively. PFT showed restrictive and obstructive patterns in 45.7% and 11.4% of acromegalics respectively; with higher total lung capacity (TLC), thoracic gas volume (TGV), and residual volume (RV). PSG revealed significantly higher SA events in acromegalics (central [acromegaly 24.63 ± 37.82 vs. control 3.21 ± 5.5], mixed [11 ± 19.46 vs. 3.50 ± 5.96], obstructive [34.86 ± 44.37 vs. 9.71 ± 10.48], and mean apnea-hypopnea index [AHI] [16.91 ± 18.0 vs. 7.86 ± 7.84]). Acromegalics had significantly higher prevalence of obstructive SA (71.4% [mild 31.4%, moderate 20%, severe 20%]) as compared to controls (38.2%). There was no correlation of AHI with serum IGF-1 and disease duration.

Conclusion:

Acromegaly subjects have a significantly higher prevalence of respiratory symptoms, SA, and abnormalities in PFT. Screening for respiratory comorbidities should be routinely recommended in all patients with acromegaly.

Diagnostic accuracy and feasibility of portable sleep monitoring in patients with obstructive sleep apnea: Re-exploring the utility in the current COVID-19 pandemic

Portable sleep monitoring (PSM) is a promising alternative diagnostic tool for Obstructive Sleep Apnea (OSA) especially in high burden resource limited settings. We aimed to determine the diagnostic accuracy and feasibility of PSM device-based studies in patients presenting for evaluation of OSA at a tertiary care hospital in North-India. PSM studies (using a Type-III PSM device) were compared for technical reliability and diagnostic accuracy with the standard laboratory-based Type-I polysomnography (PSG). Patients were also interviewed about their experience on undergoing an unsupervised PSM studies. Fifty patients (68% males) were enrolled in the study, of which only 30% patients expressed their concerns about undergoing unsupervised PSM studies which included safety issues, ease of use, diagnostic accuracy, etc. Technical acceptability criteria were easily met by the PSM studies with signal loss in 12% studies (complete data loss and inaccessible data in 6% studies), warranting repetition sleep studies in four patients. The overall sensitivity of PSM device (AHI ≥5) was 93.5% (area under curve; AUC: 0.87). The diagnostic accuracy was 68.5%, 80%, and 91.4% for mild, moderate, and severe cases of OSA, respectively. An overall strong correlation was observed between PSM-AHI (apnoea-hypopnoea index) and PSG (r>0.85, p≤0.001), especially in severe OSA. The observed sensitivity was >90% for AHI>20 (clinically significant OSA), with high specificity of 91% for severe OSA (AUC: 0.94, 0.97 for AHI>20, AHI>30 respectively). The overall Bland-Altman concordance analysis also demonstrated only a small dispersion for PSM studies with a Cronbach's coefficient of 0.95. Therefore, there is good diagnostic accuracy as well as feasibility of home-based portable sleep studies in Indian patients. It can be promoted for widespread use in high burden countries like India for diagnosing and managing appropriately selected stable patients with high clinical probability of OSA, especially during the ongoing crises of COVID-19 pandemic.

Gender and Polysomnographic Profiles Findings in Obstructive Sleep Apnea Syndrome Patients Living in High Altitude

PURPOSE

Obstructive sleep apnea (OSA) is a common sleep disorder which prevalence is 22% in men and 17% in women. It is well described that females presented different clinical and polysomnographic characteristics compared with men. Those studies were performed in plain areas. We described the analysis by gender and clinical profiles of a sample of patients with diagnostic of OSA and living at high altitude.

PATIENTS AND METHODS

It is an observational study that describes differences between clinical and polysomnographic characteristics by gender in patients with OSA. Additionally, an unsupervised cluster algorithm was used to find groups of patients with similar clinical and polysomnographic characteristics.

RESULTS

We included 709 patients, 51.6% were females and 48.3% were males with mean age of 64 and 62 years old, respectively, in which 90.97% presented OSA. Men presented a higher apnea and hypopnea index than women (p=0.002), besides presented more sleep polysomnographic alterations. Meanwhile, women evidenced better sleep quality based on parameters. Additionally, in the sample of patients, we found four separated clinical profiles characterized mainly by differences in the severity of polysomnographic parameters.

CONCLUSION

The patients were more obese, older, and had lower SpO₂ values than most of those previously reported. Men had greater severity in most of the parameters measured by polysomnography. Polysomnographic variables were different both in the OSA patient profiles and in the gender comparison. However, the REM sleep apnea hypopnea index did not differ between sexes, indicating the importance of this variable in the evaluation of OSA severity in women. In contrast to previous reports, clinical and demographic characteristics showed few differences in both analyses. This result suggests that the behavior of OSA at high altitudes may have particularities with respect to low altitudes.