| Title: | Breath Prints for Diagnosing Asthma in Children |
| Author(s): | Sas V; Chereches-Panta P; Borcau D; Schnell CN; Ichim EG; Iacob D; Coblisan AP; Drugan T; Man SC; |
| Address: | "Department of Pediatrics, 'Iuliu Hatieganu' University of Medicine and Pharmacy Cluj-Napoca, 400124 Cluj-Napoca, Romania. Clinical Hospital for Pediatric Emergencies, 400124 Cluj-Napoca, Romania. Department of Nursing, 'Iuliu Hatieganu' University of Medicine and Pharmacy Cluj-Napoca, 400124 Cluj-Napoca, Romania. Department of Medical Informatics and Biostatistics, 'Iuliu Hatieganu' University of Medicine and Pharmacy Cluj-Napoca, 400124 Cluj-Napoca, Romania" |
| ISSN/ISBN: | 2077-0383 (Print) 2077-0383 (Electronic) 2077-0383 (Linking) |
| Abstract: | "Electronic nose (e-nose) is a new technology applied for the identification of volatile organic compounds (VOC) in breath air. Measuring VOC in exhaled breath can adequately identify airway inflammation, especially in asthma. Its noninvasive character makes e-nose an attractive technology applicable in pediatrics. We hypothesized that an electronic nose could discriminate the breath prints of patients with asthma from controls. A cross-sectional study was conducted and included 35 pediatric patients. Eleven cases and seven controls formed the two training models (models A and B). Another nine cases and eight controls formed the external validation group. Exhaled breath samples were analyzed using Cyranose 320, Smith Detections, Pasadena, CA, USA. The discriminative ability of breath prints was investigated by principal component analysis (PCA) and canonical discriminative analysis (CDA). Cross-validation accuracy (CVA) was calculated. For the external validation step, accuracy, sensitivity and specificity were calculated. Duplicate sampling of exhaled breath was obtained for ten patients. E-nose was able to discriminate between the controls and asthmatic patient group with a CVA of 63.63% and an M-distance of 3.13 for model A and a CVA of 90% and an M-distance of 5.55 for model B in the internal validation step. In the second step of external validation, accuracy, sensitivity and specificity were 64%, 77% and 50%, respectively, for model A, and 58%, 66% and 50%, respectively, for model B. Between paired breath sample fingerprints, there were no significant differences. An electronic nose can discriminate pediatric patients with asthma from controls, but the accuracy obtained in the external validation was lower than the CVA obtained in the internal validation step" |
| Keywords: | asthma breath analysis electronic nose volatile organic compounds; |
| Notes: | "PubMed-not-MEDLINESas, Valentina Chereches-Panta, Paraschiva Borcau, Diana Schnell, Cristina-Nicoleta Ichim, Edita-Gabriela Iacob, Daniela Coblisan, Alina-Petronela Drugan, Tudor Man, Sorin-Claudiu eng PCD 107/2015/Iuliu Hatieganu University of Medicine and Pharmacy/ PROGRES, 40 PFE/30.12.2021/Iuliu Hatieganu University of Medicine and Pharmacy/ Switzerland 2023/04/28 J Clin Med. 2023 Apr 12; 12(8):2831. doi: 10.3390/jcm12082831" |
