Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous Abstract[Thermodynamic activity of volatile organic compounds during their effects on mammals]    Next AbstractSensor Array for Detection of Early Stage Parkinson's Disease before Medication »

Int J Chron Obstruct Pulmon Dis


Title:Validation of exhaled volatile organic compounds analysis using electronic nose as index of COPD severity
Author(s):Finamore P; Pedone C; Scarlata S; Di Paolo A; Grasso S; Santonico M; Pennazza G; Antonelli Inc;
Address:"Unit of Geriatrics, Campus Bio-Medico di Roma University, Rome, Italy. Unit of Electronics for Sensor Systems, Campus Bio-Medico di Roma University, Rome, Italy"
Journal Title:Int J Chron Obstruct Pulmon Dis
Year:2018
Volume:20180501
Issue:
Page Number:1441 - 1448
DOI: 10.2147/COPD.S159684
ISSN/ISBN:1178-2005 (Electronic) 1176-9106 (Print) 1176-9106 (Linking)
Abstract:"AIM: Six-minute walking test distance (6MWD) and body mass index, obstruction, dyspnea and exercise (BODE) index are measures of functional status in COPD patients, but require space, time and patient's compliance. Exhaled volatile organic compounds (VOCs) analysis via electronic nose is a quick and easy method that has already been used to discriminate COPD phenotypes. The aim of this study is to evaluate whether VOCs analysis can predict functional status and its variation over time in COPD patients. METHODS: A monocentric prospective study with 1 year of follow-up was carried out. All patients underwent pulmonary function tests, arterial gas analysis, bioimpedance analysis, 6-minute walking test, and VOCs collection. Exhaled breath was collected with Pneumopipe((R)) and analyzed using BIONOTE electronic nose. Outcomes prediction was performed by k-fold cross-validated partial least square discriminant analysis: accuracy, sensitivity and specificity as well as Cohen's kappa for agreement were calculated. RESULTS: We enrolled 63 patients, 60.3% men, with a mean age of 71 (SD: 8) years, median BODE index of 1 (interquartile range: 0-3) and mean 6MWD normalized by squared height (n6MWD) of 133.5 (SD: 42) m/m(2). The BIONOTE predicted baseline BODE score (dichotomized as BODE score <3 or >/=3) with an accuracy of 86% and quartiles of n6MWD with an accuracy of 79%. n6MWD decline more than the median value after 1 year was predicted with an accuracy of 86% by BIONOTE, 52% by Global Initiative for Chronic Obstructive Lung Disease (GOLD) class and 78% by combined BIONOTE and GOLD class. CONCLUSION: Exhaled VOCs analysis identifies classes of BODE and n6MWD quartiles, and outperforms GOLD classification in predicting n6MWD variation"
Keywords:Aged Biomarkers/metabolism Body Mass Index Breath Tests/*instrumentation Discriminant Analysis *Electronic Nose Exercise Tolerance *Exhalation Female Health Status Humans Least-Squares Analysis Lung/*metabolism/physiopathology Male Middle Aged Predictive;
Notes:"MedlineFinamore, Panaiotis Pedone, Claudio Scarlata, Simone Di Paolo, Alessandra Grasso, Simone Santonico, Marco Pennazza, Giorgio Antonelli Incalzi, Raffaele eng Observational Study Validation Study New Zealand 2018/05/12 Int J Chron Obstruct Pulmon Dis. 2018 May 1; 13:1441-1448. doi: 10.2147/COPD.S159684. eCollection 2018"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 27-12-2024