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EnglishBackground: The relationship between exhaled nitric oxide (FENO) and the diagnosis of asthma in the general adult population is not completely clear. Objectives: To investigate the association between FENO and asthma, after controlling for atopy and rhinitis, in a general population sample of adults (mean age 43 years). Methods: The cohort of subjects was a sample of subjects who gave their consent to participate in the European Community Respiratory Health Survey II study. Results: Atopy, rhinitis and current asthma were positively and current smoking was negatively associated with FENO. Multivariate analysis showed that asthma had a significant predictive effect on FENO (beta = 0.53; 95% CI 0.21-0.84, p = 0.001), and the increase in FENO was significantly associated with the risk of current asthma (OR = 1.07, 95% CI 1.00-1.14) by the logistic regression model. Receiver-operater characteristic curve showed that FENO >/=18.5 ppb had the best combination of sensitivity (69.2%) and specificity (71%), with a positive predictive value of 24% and a negative predictive value of 95%, for the diagnosis of asthma. Conclusions: Measuring FENO seems to be suitable as an adjunct to questionnaire in the evaluation of asthma in the general population.
| Titolo: | Exhaled Nitric Oxide in a Population Sample of Adults. |
| Autori: | |
| Data di pubblicazione: | 2008 |
| Rivista: | |
| Abstract: | Background: The relationship between exhaled nitric oxide (FENO) and the diagnosis of asthma in the general adult population is not completely clear. Objectives: To investigate the association between FENO and asthma, after controlling for atopy and rhinitis, in a general population sample of adults (mean age 43 years). Methods: The cohort of subjects was a sample of subjects who gave their consent to participate in the European Community Respiratory Health Survey II study. Results: Atopy, rhinitis and current asthma were positively and current smoking was negatively associated with FENO. Multivariate analysis showed that asthma had a significant predictive effect on FENO (beta = 0.53; 95% CI 0.21-0.84, p = 0.001), and the increase in FENO was significantly associated with the risk of current asthma (OR = 1.07, 95% CI 1.00-1.14) by the logistic regression model. Receiver-operater characteristic curve showed that FENO >/=18.5 ppb had the best combination of sensitivity (69.2%) and specificity (71%), with a positive predictive value of 24% and a negative predictive value of 95%, for the diagnosis of asthma. Conclusions: Measuring FENO seems to be suitable as an adjunct to questionnaire in the evaluation of asthma in the general population. |
| Handle: | http://hdl.handle.net/11562/307758 |
| Appare nelle tipologie: | 01.01 Articolo in Rivista |
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