1Post Graduate Resident Final year-Orthodontics and Dentofacial Orthopedics, Department of Dental Surgery, Armed Forces Medical College, Pune-411040, Maharashtra, India.
2Associate Professor-Orthodontics and Dentofacial Orthopedics, Department of Dental Surgery, Armed Forces Medical College, Pune-411040, Maharashtra, India.
3Professor and Head of the Department of Pulmonary, Critical Care and Sleep Medicine, Military Hospital (Cardio-Thoracic Centre), Pune, Maharashtra, India.
4Associate Professor-Periodontology and Oral Implantology, Department of Dental Surgery, Armed Forces Medical College, Pune-411040, Maharashtra, India.
*Address for Correspondence: Surgeon Lieutenant Commander (Dr) Oommen Nainan, BDS (MDS), Post Graduate Resident Final year-Orthodontics and Dentofacial Orthopedics, Department of Dental Surgery, Armed Forces Medical College, Pune 411040, Maharashtra, India. Contact number: +919673996950, Email id: oommen_amith@yahoo.com
Name of department and institution to which work should be attributed: Department of Dental Surgery, Armed Forces Medical College, Pune, Maharashtra, India.
The morphometric model (MM) provides a rapid, accurate and reproducible method for predicting whether patients in an ambulatory setting are at risk for obstructive sleep apnoea (OSA).
The aim of this study was to estimate mean MM scores in a mixed Indian population and to investigate its correlation with the severity of OSA as determined by apnoea/hypopnoea index (AHI).
A total of 60 subjects were included in the study and were divided into two groups of 30 subjects each; Group 1: Patient group; Group 2: Control group. A comparative cross-sectional study design was employed and MM value as suggested by Kushida et al. was estimated by applying their clinical rule. To determine the correlation between OSA severity as indicated by AHI and MM values, linear and multiple regression models were applied.
The comparison of MM values between OSA and non-OSA groups showed an extremely statistically significant difference. There was no significant correlation between the severity of OSA and MM values in this sample of Indian OSA patients.
The results of this study could facilitate the early recognition of OSA and support the available diagnostic setup.
Obstructive sleep apnoea, morphometric model, apnoea/hypopnoea index, polysomnography, clinical rule, predictors
