Establishing normative nasal @entity842 values in XXXX .

@entity1 @entity66 @entity910 @entity358 @entity842
INTRODUCTION: @entity910 ( @entity910 ), a @entity66 respiratory cilia motility, is often difficult to diagnose. Recent studies show low nasal @entity842 (nNO) is closely linked to @entity910 , allowing the use of nNO measurement for @entity910 assessments. Nasal NO cutoff values for @entity910 are stratified by age, given nNO levels normally increase with age. However, normative values for nNO have not been established for @entity1 less than 1 year old. In this study, we aim to establish normative values for nNO in @entity1 and determine their utility in guiding @entity1 @entity910 assessment. METHODS AND RESULTS: We obtained 42 nNO values from @entity1 less than 1 year old without a history of @entity910 or recurrent sinopulmonary disease. Using regression analysis, we estimated the mean age-adjusted nNO values and established a 95% prediction interval (PI) for normal nNO. Using these findings, we were able to show 14 of 15 @entity1 @entity910 @entity1 had abnormally low nNO with values below the 95% PI. CONCLUSIONS: In this study we determined a regression model that best fits normative nNO values for @entity1 less than 1 year old. This model identified the majority of @entity910 @entity1 as having abnormally low nNO. These findings suggest nNO measurement can help guide @entity910 assessment in @entity1 , and perhaps other @entity358 with a link to low nNO. With early assessments, earlier clinical intervention may be possible to slow disease progression and help reduce pulmonary morbidity.
