Search

Background: Obstructive sleep apnea (OSA) is a common health issue with serious complications. Regarding the high cost of the polysomnography (PSG), sensitive and inexpensive screening tools are necessary. The objective of this study was to evaluate the predictive value of anthropometric and Mallampati indices for OSA severity in both genders. Materials and Methods: In a cross sectional study, we evaluated anthropometric data and the Mallampati classification for the patients (n = 205) with age >18 and confirmed OSA in PSG (Apnea--Hypopnea Index [AHI] >5). For predicting the severity of OSA, we applied a decision tree (C5.0) algorithm, with input and target variables considering two models (Model 1: AHI ≥15 with Mallampati >2, age >51 years, and neck circumference [NC] >36 cm and Model 2: AHI ≥30 with condition: gender = female, body mass index (BMI) >35.8, and age >44 years or gender = male, Mallampati ≥2, and abdominal circumference (AC) >112 then AHI ≥30). Results: About 54.1% of the patients were male. Mallampati, age, and NCs are important factors in predicting moderate OSA. The likelihood of moderate OSA severity based on Model 1 was 94.16%. In severe OSA, Mallampati, BMI, age, AC, and gender are more predictive. In Model 2, gender had a significant role. The likelihood of severe OSA based on Model 2 in female patients was 89.98% and in male patients was 90.32%. Comparison of the sensitivity and specificity of both models showed a higher sensitivity of Model 1 (93.5%) and a higher specificity of Model 2 (89.66%). Conclusion: For the prediction of moderate and severe OSA, anthropometric and Mallampati indices are important factors. [ABSTRACT FROM AUTHOR]

Background: Considering the effectiveness of craniofacial photographic analysis for diagnosis and management of obstructive sleep apnea-hypopnea syndrome (OSAHS) as well as ethnic differences in indexes measured by this method, this study designed to compare the surface facial dimensions, including nose width, intercanthal width and mandibular width of Iranian patients with mild, moderate and severe OSAHS. Materials and Methods: In this cross sectional study subjects with mild, moderate and severe OSAHS based on apnea-hypopnea index, were studied. To determine cephalometric measurements, face and neck digital photographs were taken from participants following a standardized procedure. Cephalometric measurements including face, intercanthal and mandibular widths were compared between studied groups. Results: In this study, 100 participants enrolled. From which 20 (20.8%), 35 (36.45%) and 41 (42.7%) of them had mild, moderate and severe OSAHS, respectively. Mean of nose, intercanthal and mandibular width were significantly higher in patients with severe OSAHS than those with mild or moderate OSAHS (P < 0.05). In both genders, mandibular width were higher in severe forms of OSAHS. Disease severity was significantly associated with increased age and mandibular width (P < 0.05). Conclusion: Mandibular width was the most important index, which had a significant association with the disease severity. It seems that our results could be used both for diagnosis and follow-up of OSAHS management. They could be used as baseline information as well as a clinical and research tool in the field of OSAHS. [ABSTRACT FROM AUTHOR]

BACKGROUND: The aim of this study was to evaluate epidemiological relationship between chronic obstructive pulmonary disease and sleep apnea syndrome in a sample of Persian population. METHODS: As a part of a population-based cross-sectional study, 3900 randomly selected individuals aged 15 years or older were invited to take part in the survey; 3770 individuals (96.6%) agreed to fill out the respiratory and sleep questionnaire. Those subjects suspected to have either chronic obstructive pulmonary disease and/or obstructive sleep apnea underwent spirometry and polysomnography test if indicated. Spirometric measurements were performed on 420 invited responders. Polysomnography measurements were performed on 25 of the responders. RESULTS: Prevalence rates for sleep apnea, chronic obstructive pulmonary disease and current asthma were 4.98%, 5.7% and 3.1%, respectively. Logistic regression showed independent associations between sleep apnea and chronic obstructive pulmonary disease. There was no significant independent association between sleep apnea symptoms and current asthma and wheeze ever. CONCLUSIONS: These observations indicated relationship between chronic obstructive pulmonary disease and obstructive sleep apnea. These observations indicated the necessity of further studies to explain the possible common pathogenic mechanisms involved in two disease entities. [ABSTRACT FROM AUTHOR]