Valor de la determinación de óxido nítrico exhalado en el diagnóstico de asma episódica

Tarazona, S. Pérez; Camacho, Ramírez; Diego, J. Alfonso; Serrano, S. Escolano; Gandía, J. Talens

doi:10.1016/j.anpedi.2011.05.008

Cited by 6 publications

(1 citation statement)

References 30 publications

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“… 44 However, at a cut-off of 19 ppb, the sensitivity and specificity of FeNO for diagnosing mild asthma in children aged 6–14 years were 0.91 and 0.87, respectively. 45 Another study suggested that FeNO levels were significantly higher in asthmatic children (9.6 ppb) than in healthy children (5.8 ppb), and that allergic sensitization was most closely related to FeNO, a cutoff value of 20.4 ppb was associated with high diagnostic specificity (0.97) and low sensitivity (0.41). 46 In addition, atopy and allergic rhinitis were independently associated with increased FeNO level, only among patients with atopy and allergic rhinitis FeNO level (above 23 ppb) was associated with asthma diagnosis, with a sensitivity of 0.90 (95% CI: 0.68–0.98) and a specificity of 0.52 (95% CI: 0.42–0.61).…”

Section: Discussionmentioning

confidence: 99%

Predictive Value of Impulse Oscillometry Combined with Fractional Expiratory Nitric Oxide Test for Asthma in Preschool Children

Chen,

Xiao,

Liu

et al. 2024

JAA

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Prediction of asthma in preschool children is challenging and lacks objective indicators. The aim is to observe and analyze the variances between impulse oscillometry (IOS) and fractional expiratory nitric oxide (FeNO) in preschool children with wheezing, establish a joint prediction model, and explore the diagnostic value of combining IOS with FeNO in diagnosing asthma among preschool children. Patients and methods:This study enrolled children aged 3-6 years with wheezing between June 2021 and June 2022. They were categorized as asthmatic (n=104) or non-asthmatic (n=109) after a 1-year follow-up. Clinical data, along with IOS and FeNO measurements from both groups, underwent univariate regression and multiple regression analyses to identify predictive factors and develop the most accurate model. The prediction model was built using the stepwise (stepAIC) method. The receiver operating characteristic curve (ROC), calibration curve, Hosmer-Lemeshow test, and decision curve analysis (DCA) were employed to validate and assess the model. Results: During univariate analysis, a history of allergic rhinitis, a history of eczema or atopic dermatitis, and measures including FeNO, R5, X5, R20, Fres, and R5-R20 were found to be associated with asthma diagnosis. Subsequent multivariate analysis revealed elevated FeNO, R5, and X5 as independent risk factors. The stepAIC method selected five factors (history of allergic rhinitis, history of eczema or atopic dermatitis, FeNO, R5, X5) and established a prediction model. The combined model achieved an AUROC of 0.94, with a sensitivity of 0.89 and specificity of 0.88, surpassing that of individual factors. Calibration plots and the HL test confirmed satisfactory accuracy. Conclusion:This study has developed a prediction model based on five factors, potentially aiding clinicians in early identification of asthma risk among preschool children.

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Section: Discussionmentioning

confidence: 99%

Predictive Value of Impulse Oscillometry Combined with Fractional Expiratory Nitric Oxide Test for Asthma in Preschool Children

Chen,

Xiao,

Liu

et al. 2024

JAA

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Fractional Exhaled Nitric Oxide for the Diagnosis of Childhood Asthma: a Systematic Review and Meta-analysis

Tang

Xie

Yuan

et al. 2016

Clinic Rev Allerg Immunol

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The gold standard for diagnosing asthma in children is based on clinical history of respiratory symptoms, physical examination, and respiratory function testing. Recent advances indicate that a non-invasive measure of airway inflammation, fractional exhaled nitric oxide (FeNO), provides objective data for use in asthma diagnosis. However, the diagnostic performance of FeNO in children with asthma has not been clearly defined. This systematic review and meta-analysis aimed to evaluate the diagnostic accuracy of FeNO in the clinical determination of asthma in children. Databases of PubMed, the Cochrane Library, EMBASE, MEDION, and Web of Science were searched for relevant articles through March 31, 2016. A bivariate model was used for pooling estimates of sensitivity, specificity, diagnostic odds ratio (DOR), and area under the summary receiver operating curves (SROC) as the main diagnostic measures. In total, eight studies met the inclusion criteria, which included 2933 subjects. The pooled estimates of sensitivity, specificity, and DOR for the detection of asthma in children were 0.79 [95 % confidence interval (CI), 0.64-0.89], 0.81 (95 % CI, 0.66-0.90), and 16.52 (95 % CI, 7.64-35.71). The SROC was 0.87 (95 % CI, 0.84-0.90). In brief, FeNO achieves a moderate diagnostic performance in the detection of asthma in children.

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Fraction of exhaled nitric oxide in healthy Chilean schoolchildren aged 8–15 years

Mallol¹,

Aguirre²,

Córdova³

et al. 2015

Allergologia et Immunopathologia

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Valor de la determinación de óxido nítrico exhalado en el diagnóstico de asma episódica

Cited by 6 publications

References 30 publications

Predictive Value of Impulse Oscillometry Combined with Fractional Expiratory Nitric Oxide Test for Asthma in Preschool Children

Predictive Value of Impulse Oscillometry Combined with Fractional Expiratory Nitric Oxide Test for Asthma in Preschool Children

Fractional Exhaled Nitric Oxide for the Diagnosis of Childhood Asthma: a Systematic Review and Meta-analysis

Fraction of exhaled nitric oxide in healthy Chilean schoolchildren aged 8–15 years

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