Abstract
Introduction: We present preliminary data from the multicenter prospective Indian Sleep Registry which started patient enrollment in July 2018. Data collection embraces areas like epidemiology, etiology, co-morbidities and management strategies and will help identify Phenotypes of Sleep Apnea (SA)
Aims and Objective: Formulation of a cross sectional database for defining SA in India
Methods: Registry will collect online data from more than 20 sites (hospitals, research centers, institutes). Cases will be entered once at the baseline & after one year. Sites are being trained for data entry, to maintain the quality of data. Sites share the raw data on the online portal at the National Data Collection Centre (NDCC) to ensure uniformity in diagnosis. Data collection will be ongoing for 5years
Results: So far, 6 sites have contributed 258 cases from all regions of the country (image1). 204 male (79%) & 54 (21%) females. Mean age 50.78 (+13.60), majority belonged to affluent section of the society. 55.81% patients were obese, 29.45% were overweight. A weak positive correlation was found between severity of OSA and STOP BANG questionnaire (r = 0.012), OSA and Epworth Sleepiness Scale(r = 0.013) at p<0.001.
Conclusion: This is the first effort to build a National Sleep Registry in South Asia. Males with higher BMI and higher socioeconomic status are at risk for SA in Indian population. Daytime sleepiness and screening tool seem to be weak predictors. The Indian sleep registry will play an important role in characterizing and phenotyping SA in this country.
Footnotes
Cite this article as: European Respiratory Journal 2019; 54: Suppl. 63, PA4415.
This is an ERS International Congress abstract. No full-text version is available. Further material to accompany this abstract may be available at www.ers-education.org (ERS member access only).
- Copyright ©the authors 2019