Terufumi Shimoda1, Yukio Nagasaka2, Yasushi Obase3, Reiko Kishikawa4, Tomoaki Iwanaga4. 1. Clinical Research Center, Fukuoka National Hospital, Fukuoka, Japan. Electronic address: t-shimoda@mfukuoka2.hosp.go.jp. 2. Kyoto Respiratory Center, Otowa Hospital, Kyoto, Japan. 3. Department of Respiratory Medicine, Kawasaki Medical School, Kurashiki, Okayama, Japan. 4. Clinical Research Center, Fukuoka National Hospital, Fukuoka, Japan.
Abstract
BACKGROUND: The intensity and frequency of sounds in a lung sound analysis (LSA) may be related to airway constriction; however, whether any factors of an LSA can predict airway eosinophilic inflammation in patients with asthma is unknown. OBJECTIVE: To determine whether an LSA can predict airway eosinophilic inflammation in patients with asymptomatic asthma. METHODS: The expiratory-inspiratory ratios of sound power in the low-frequency range (E-I LF) from 36 patients with asymptomatic asthma were compared with those of 14 healthy controls. The relations of E-I LF with airway eosinophilic inflammation were analyzed. The E-I LF cutoff value for predicting airway eosinophilic inflammation also was analyzed. RESULTS: The mean ± SD E-I LF was higher in the patients with asthma and with increased sputum eosinophils than in those patients without increased sputum eosinophils (0.45 ± 0.24 vs 0.20 ± 0.12; P < .001) or in the healthy controls (0.25 ± 0.10; P = .003). A multiple regression analysis showed that the sputum eosinophil ratio and exhaled nitric oxide were independently correlated with E-I LF, P = .0003 and P = .032, respectively. For the prediction of increased sputum eosinophils and increased fractional exhaled nitric oxide levels, the E-I LF thresholds of 0.29 and 0.30 showed sensitivities of 0.80 and 0.74 and specificities of 0.83 and 0.77, respectively. CONCLUSIONS: We showed that LSAs can safely predict airway inflammation of patients with asymptomatic asthma.
BACKGROUND: The intensity and frequency of sounds in a lung sound analysis (LSA) may be related to airway constriction; however, whether any factors of an LSA can predict airway eosinophilic inflammation in patients with asthma is unknown. OBJECTIVE: To determine whether an LSA can predict airway eosinophilic inflammation in patients with asymptomatic asthma. METHODS: The expiratory-inspiratory ratios of sound power in the low-frequency range (E-I LF) from 36 patients with asymptomatic asthma were compared with those of 14 healthy controls. The relations of E-I LF with airway eosinophilic inflammation were analyzed. The E-I LF cutoff value for predicting airway eosinophilic inflammation also was analyzed. RESULTS: The mean ± SD E-I LF was higher in the patients with asthma and with increased sputum eosinophils than in those patients without increased sputum eosinophils (0.45 ± 0.24 vs 0.20 ± 0.12; P < .001) or in the healthy controls (0.25 ± 0.10; P = .003). A multiple regression analysis showed that the sputum eosinophil ratio and exhaled nitric oxide were independently correlated with E-I LF, P = .0003 and P = .032, respectively. For the prediction of increased sputum eosinophils and increased fractional exhaled nitric oxide levels, the E-I LF thresholds of 0.29 and 0.30 showed sensitivities of 0.80 and 0.74 and specificities of 0.83 and 0.77, respectively. CONCLUSIONS: We showed that LSAs can safely predict airway inflammation of patients with asymptomatic asthma.