Exhaled nitric oxide as a diagnostic tool for wheezing in preschool children: A diagnostic accuracy study.

Autor: Sayão LB; Department of Physiotherapy, Universidade Federal de Pernambuco, Recife, Brazil., de Britto MC; Department of Pediatric Pneumology, Instituto de Medicina Integral Fernando Figueira - IMIP, Recife, Brazil., Burity E; Department of Pediatric Pneumology, Instituto de Medicina Integral Fernando Figueira - IMIP, Recife, Brazil., Rattes C; Department of Physiotherapy, Universidade Federal de Pernambuco, Recife, Brazil., Reinaux CM; Department of Physiotherapy, Universidade Federal de Pernambuco, Recife, Brazil., Fink J; Rush University Medical Center, Georgia State University, USA., Dornelas de Andrade A; Department of Physiotherapy, Universidade Federal de Pernambuco, Recife, Brazil. Electronic address: armeledornelas@hotmail.com.
Jazyk: angličtina
Zdroj: Respiratory medicine [Respir Med] 2016 Apr; Vol. 113, pp. 15-21. Date of Electronic Publication: 2016 Feb 22.
DOI: 10.1016/j.rmed.2016.02.008
Abstrakt: Background: Airways inflammation may precede pulmonary dysfunction in wheezing individuals. The fraction of exhaled nitric oxide (FENO) has been described as a useful method for wheezing diagnosis in children, however, its application requires evidence. This study aimed to determine the accuracy of FENO in identifying wheezing in preschoolers.
Methods: A cross-sectional study was carried out with children from 3 to 5 years old, from Brazilian day care centers and public schools. They were evaluated by FENO measurement through the single breath method, and by ATS-DLD-78-C questionnaire that is used as a gold standard to phenotype wheezing patterns.
Results: The sample consisted of 243 non-wheezing children, 118 non-recurrent wheezing and 62 recurrent wheezing. The means of FENO and confidence intervals of 95%, were 5.4 (CI 95%, 5.2-5.6); 7.5 (CI 95%, 6.9-8.2) and 11.2 (CI 95%, 9.6-12.7), respectively. The sensitivity, specificity, positive and negative predictive FENO values in the 6 parts per billion (ppb) cut-off point that best diagnosed wheezing of non-wheezing children, were: 65.5%, 84.3%, 75.6% and 76.7%, respectively, with an area under the curve (AUC) = 0.77. At 10 ppb, the best cut-off points for differentiating recurrent wheezing of non-recurrent wheezing were: 56.4%, 81.3%, 61.4%, 78.0%, respectively, with an AUC = 0.69. The post-test probability for each FENO cut-off points was increased by 33% for wheezing and 20% for recurrent wheezing diagnosis when associated with clinical examination.
Conclusion: FENO can provide a reliable and accurate method to discriminate the presence and type of wheezing in preschoolers with 92% of acceptable in this study population.
(Copyright © 2016 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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