| Title: | Screening of Obstructive Sleep Apnea Syndrome by Electronic-Nose Analysis of Volatile Organic Compounds |
| Author(s): | Scarlata S; Pennazza G; Santonico M; Santangelo S; Rossi Bartoli I; Rivera C; Vernile C; De Vincentis A; Antonelli Inc; |
| Address: | "Geriatrics, Department of Respiratory Pathophysiology, Campus Bio-Medico University and Teaching Hospital, Rome, Italy. s.scarlata@unicampus.it. Centre for Integrated Research - CIR, Department of Electronics for Sensor Systems, Campus Bio-Medico University, Rome, Italy. Geriatrics, Department of Respiratory Pathophysiology, Campus Bio-Medico University and Teaching Hospital, Rome, Italy. Department of Hepatology, Chair of Internal Medicine, Campus Bio-Medico University and Teaching Hospital, Rome, Italy" |
| DOI: | 10.1038/s41598-017-12108-w |
| ISSN/ISBN: | 2045-2322 (Electronic) 2045-2322 (Linking) |
| Abstract: | "Obstructive Sleep Apnea Syndrome (OSAS) carries important social and economic implications. Once the suspicion of OSAS has arisen, Polysomnography (PSG) represents the diagnostic gold standard. However, about 45% of people who have undergone PSG are free from OSAS. Thus, efforts should be made to improve the selection of subjects. We verified whether the pattern of Volatile Organic Compounds (VOCs) helps to select patients amenable to PSG. We studied 136 subjects (20 obese non-OSAS, 20 hypoxic OSAS, 20 non-hypoxic OSAS, and 20 non-hypoxic Chronic Obstructive Pulmonary Disease (COPD) vs 56 healthy controls) without any criteria of exclusion for comorbidity to deal with a real-life population. VOCs patterns were analyzed using electronic-nose (e-nose) technology. A Discriminant Analysis (Partial Least Square-Discriminant Analysis) was performed to predict respiratory functions and PSG parameters. E-nose distinguished controls (100% correct classification) from others and identified 60% of hypoxic, and 35% of non-hypoxic OSAS patients. Similarly, it identified 60% of COPD patients. One-by-one group comparison yielded optimal discrimination of OSAS vs controls and of COPD vs controls (100% correct classification). In conclusion, e-nose technology applied to breath-analysis can discriminate non-respiratory from respiratory diseased populations in real-life multimorbid populations and exclude OSAS. If confirmed, this evidence may become pivotal for screening purposes" |
| Keywords: | "Aged Breath Tests/*methods *Electronic Nose Female Humans Male Mass Screening/*methods Middle Aged Sleep Apnea, Obstructive/*diagnosis Volatile Organic Compounds/*analysis;" |
| Notes: | "MedlineScarlata, Simone Pennazza, Giorgio Santonico, Marco Santangelo, Simona Rossi Bartoli, Isaura Rivera, Chiara Vernile, Chiara De Vincentis, Antonio Antonelli Incalzi, Raffaele eng England 2017/09/22 Sci Rep. 2017 Sep 20; 7(1):11938. doi: 10.1038/s41598-017-12108-w" |
