RATIONALE: The initial management of patients who present with persistent respiratory symptoms includes recognizing those with the potential to benefit from inhaled steroid therapy. To date, this has required undertaking a "trial of steroid" to identify responders. There is increasing evidence that steroid response is more likely in patients with eosinophilic airway inflammation, and this can be assessed indirectly using exhaled nitric oxide (FENO) measurements. OBJECTIVES: We aimed to assess the predictive accuracy of FENO to identify steroid response in 52 patients presenting with undiagnosed respiratory symptoms in a single-blind, fixed-sequence, placebo-controlled trial ofinhaled fluticasone for 4 weeks. METHODS: Comparisons of predictive accuracy were made between FENO and other conventional predictors: peak flows, spirometry, bronchodilator response, and airway hyperresponsiveness measured at baseline. "Steroid response" was defined as change in symptoms, peak flows, spirometry, or airway hyperresponsiveness to adenosine based on established guidelines and recommendations. RESULTS:Steroid response was significantly greater in the highest FENO tertile (> 47 ppb) for each endpoint. This outcome was independent of the diagnostic label. The predictive values for FENO were significantly greater than for almost all other baseline predictors, with an optimum cut point of 47 ppb. CONCLUSIONS:FENO measurements greater than 47 ppb provide a means of predicting steroid response in patients with undiagnosed respiratory symptoms. Assessing airway inflammation is of more practical value than diagnostic labeling when considering the potential usefulness of inhaled antiinflammatory therapy.
RCT Entities:
RATIONALE: The initial management of patients who present with persistent respiratory symptoms includes recognizing those with the potential to benefit from inhaled steroid therapy. To date, this has required undertaking a "trial of steroid" to identify responders. There is increasing evidence that steroid response is more likely in patients with eosinophilic airway inflammation, and this can be assessed indirectly using exhaled nitric oxide (FENO) measurements. OBJECTIVES: We aimed to assess the predictive accuracy of FENO to identify steroid response in 52 patients presenting with undiagnosed respiratory symptoms in a single-blind, fixed-sequence, placebo-controlled trial of inhaled fluticasone for 4 weeks. METHODS: Comparisons of predictive accuracy were made between FENO and other conventional predictors: peak flows, spirometry, bronchodilator response, and airway hyperresponsiveness measured at baseline. "Steroid response" was defined as change in symptoms, peak flows, spirometry, or airway hyperresponsiveness to adenosine based on established guidelines and recommendations. RESULTS:Steroid response was significantly greater in the highest FENO tertile (> 47 ppb) for each endpoint. This outcome was independent of the diagnostic label. The predictive values for FENO were significantly greater than for almost all other baseline predictors, with an optimum cut point of 47 ppb. CONCLUSIONS:FENO measurements greater than 47 ppb provide a means of predicting steroid response in patients with undiagnosed respiratory symptoms. Assessing airway inflammation is of more practical value than diagnostic labeling when considering the potential usefulness of inhaled antiinflammatory therapy.
Authors: Richard J Martin; Stanley J Szefler; Tonya S King; Monica Kraft; Homer A Boushey; Vernon M Chinchilli; Timothy J Craig; Emily A Dimango; Aaron Deykin; John V Fahy; Elliot Israel; Stephen C Lazarus; Robert F Lemanske; Frank T Leone; Gene R Pesola; Stephen P Peters; Christine A Sorkness; Lisa A Szwejbka; Michael E Wechsler Journal: J Allergy Clin Immunol Date: 2007-01 Impact factor: 10.793
Authors: Raed A Dweik; Peter B Boggs; Serpil C Erzurum; Charles G Irvin; Margaret W Leigh; Jon O Lundberg; Anna-Carin Olin; Alan L Plummer; D Robin Taylor Journal: Am J Respir Crit Care Med Date: 2011-09-01 Impact factor: 21.405
Authors: Jason S Debley; Elizabeth S Cochrane; Gregory J Redding; Edward R Carter Journal: Ann Allergy Asthma Immunol Date: 2012-06-26 Impact factor: 6.347