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Converting FENO by different flows to standard flow FENO.
Paul G Lassmann-Klee1, Lauri Lehtimäki2, Tuula Lindholm3
1Unit of Clinical Physiology, Helsinki University Central Hospital and University of Helsinki, Helsinki, Finland.
Clinical Physiology and Functional Imaging
|May 7, 2019
Summary
A new model can convert fractional exhaled nitric oxide (FENO) measurements taken at different expiratory flow rates to the standard 50 mL/s. This allows for better comparison of FENO data across studies and populations.
Area of Science:
- Pulmonary Medicine
- Respiratory Physiology
- Clinical Diagnostics
Background:
- Fractional exhaled nitric oxide (FENO) is a biomarker for eosinophilic airway inflammation.
- Current FENO measurement is standardized to an expiratory flow rate of 50 mL/s.
- Variations in expiratory flow rate affect FENO results, hindering data comparison.
Purpose of the Study:
- To develop and validate a conversion model for FENO measurements across different expiratory flow rates.
- To enable standardized comparison of FENO data in clinical and research settings.
Main Methods:
- A conversion model was developed using FENO data from 30 volunteers measured at 50, 30, 100, and 300 mL/s.
- The model was validated in five external populations: healthy adults, healthy children, and patients with COPD, asthma, and alveolitis.
Main Results:
- The conversion model showed low deviation in healthy adults (-0.44 ppb) and children (0.27 ppb) when converting from 100 mL/s to 50 mL/s.
- Deviations in patients with COPD (-1.16 ppb), asthma (-1.68 ppb), and alveolitis (1.47 ppb) were also assessed.
- The model is suitable for large epidemiological data but not for individual patient-level conversion.
Conclusions:
- A validated model exists to convert FENO measurements from various expiratory flow rates to the standard 50 mL/s.
- This model facilitates the comparison of FENO data in diverse populations, including those with obstructive lung diseases.
- The conversion is applicable for epidemiological studies but not recommended for individual clinical decisions.
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