Literature DB >> 23445725

Within-day and between-day repeatability of measurements with an electronic nose in patients with COPD.

Maria Bofan1, Nadia Mores, Marco Baron, Malgorzata Dabrowska, Salvatore Valente, Maurizio Schmid, Andrea Trové, Silvia Conforto, Gina Zini, Paola Cattani, Leonello Fuso, Antonella Mautone, Chiara Mondino, Gabriella Pagliari, Tommaso D'Alessio, Paolo Montuschi.   

Abstract

Electronic noses (e-noses), artificial sensor systems generally consisting of chemical sensor arrays for the detection of volatile compound profiles, have potential applications in respiratory medicine. We assessed within-day and between-day repeatability of an e-nose made from 32 sensors in patients with stable chronic obstructive pulmonary disease (COPD). We also compared between-day repeatability of an e-nose, fraction of exhaled nitric oxide (FENO) and pulmonary function testing. Within-day and between-day repeatability for the e-nose was assessed in two breath samples collected 30 min and seven days apart, respectively. Repeatability was expressed as an intraclass correlation coefficient (ICC). All sensors had ICC above 0.5, a value that is considered acceptable for repeatability. Regarding within-day repeatability, ICC ranged from 0.75 to 0.84 (mean = 0.80 ± 0.004). Sensors 6 and 19 were the most reproducible sensors (both, ICC = 0.84). Regarding between-day repeatability, ICC ranged from 0.57 to 0.76 (mean = 0.68 ± 0.01). Sensor 19 was the most reproducible sensor (ICC = 0.76). Within-day e-nose repeatability was greater than between-day repeatability (P < 0.0001). Between-day repeatability of FENO (ICC = 0.91) and spirometry (ICC range = 0.94-0.98) was greater than that of e-nose (mean ICC = 0.68). In patients with stable COPD, the e-nose used in this study has acceptable within-day and between-day repeatability which varies between different sensors.

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Year:  2013        PMID: 23445725     DOI: 10.1088/1752-7155/7/1/017103

Source DB:  PubMed          Journal:  J Breath Res        ISSN: 1752-7155            Impact factor:   3.262


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