scholarly journals Exhaled nitric oxide measurements in patients with acute-onset interstitial lung disease

2017 ◽  
Vol 11 (3) ◽  
pp. 036001 ◽  
Author(s):  
Keiji Oishi ◽  
Tsunahiko Hirano ◽  
Ryo Suetake ◽  
Syuichiro Ohata ◽  
Yoshikazu Yamaji ◽  
...  
Author(s):  
Keiji Oishi ◽  
Tsunahiko Hirano ◽  
Ryo Suetake ◽  
Syuichiro Ohata ◽  
Yoshikazu Yamaji ◽  
...  

Author(s):  
Yu Zheng ◽  
Yueyan Lou ◽  
Feng Zhu ◽  
Xiaodong Wang ◽  
Wanlong Wu ◽  
...  

Nitric Oxide ◽  
2009 ◽  
Vol 20 (3) ◽  
pp. 200-206 ◽  
Author(s):  
Kiet Phong Tiev ◽  
Nhat-Nam Le-Dong ◽  
Sy Duong-Quy ◽  
Thông Hua-Huy ◽  
Jean Cabane ◽  
...  

2019 ◽  
Vol 13 (2) ◽  
pp. 026008 ◽  
Author(s):  
Paolo Cameli ◽  
Elena Bargagli ◽  
Laura Bergantini ◽  
Rosa Metella Refini ◽  
Maria Pieroni ◽  
...  

2020 ◽  
Author(s):  
Geng-peng Lin ◽  
Yu-biao Guo ◽  
Jia Shi ◽  
Yi Hui ◽  
Yang-li Liu ◽  
...  

Abstract Background No established biomarkers are available to guide the treatment of chronic interstitial lung diseases (ILDs). Nitric oxide reflects the inflammation in the airway, and fractional exhaled nitric oxide (FeNO) is a non-invasive and reproducible biomarker in lung-disease diagnosis and treatment. Whether FeNO can help manage ILDs remains uncertain. This study aimed to determine the role of FeNO in ILDs and the association between FeNO and ILD subtype. Methods 53 patients with ILDs were retrospectively recruited. Patient characteristics, FeNO values, blood tests for inflammatory markers, and pulmonary function test data were obtained. ResultsThis group of patients with ILDs had decreased vital capacity(VC)and total lung capacity(TLC) of 71.75 ± 17.58% and 75.27 ± 14.07%, respectively. The diffusion capacity of the lung for carbon monoxide(DLCO) also declined, with an average level of 38.15 ± 11.10%. The average FeNO value was 20.34 ± 9.97 ppb. According to the characteristics of chest computed tomography, patients were divided into usual interstitial pneumonia (UIP)-ILD (n = 24) and non-UIP-ILD (n = 29). The FeNO value in the UIP-ILD group was 12.58 ± 3.63 ppb. This value was significantly lower than that of the non-UIP-ILD group (26.62 ± 8.61 ppb, P<0.0001).According to the etiology, all patients with ILDs were divided into connective tissue diseases associated with interstitial lung disease (CTD-ILD) (n = 30) and non-CTD-ILD (n = 23). There were more female patients in CTD-ILD group compared to non-CTD ILD group and patients in CTD-ILD group were younger. With regard to the FeNO, PFT values, and systemic inflammatory markers, no significant differences were observed between groups. In the overall ILD population, FeNO level correlated with blood eosinophil (r = 0.3066, P=0.0333), but no statistical significant correlations were observed between the FeNO and blood eosinophil percentage, IgE or systemic inflammatory markers. The FeNO cut-off value of 18.5 ppb showed a sensibility of 83.3% and a specificity of 95.8% in discriminating non-UIP-ILDs from UIP ILDs. Conclusions Our study suggested the importance of FeNO test in patients with ILDs. High FeNO levels may indicate the need of systemic treatment, and FeNO can be a helpful biomarker for ILD management.


Author(s):  
Paolo Cameli ◽  
David Bennett ◽  
Rosa Metella Refini ◽  
Piersante Sestini ◽  
Paola Rottoli ◽  
...  

2019 ◽  
Vol 14 ◽  
pp. 117727191987047 ◽  
Author(s):  
Hiroshi Furukawa ◽  
Shomi Oka ◽  
Kota Shimada ◽  
Atsushi Hashimoto ◽  
Akiko Komiya ◽  
...  

Objective: Acute-onset diffuse interstitial lung disease (AoDILD) includes acute exacerbation of interstitial lung disease (ILD), drug-induced ILD, and Pneumocystis pneumonia, and frequently occurs in patients with rheumatoid arthritis (RA). Since AoDILD causes a poor prognosis in RA, biomarkers for AoDILD were eagerly desired. Metabolomic analyses were extensively performed in cancer patients and successfully generated better diagnostic biomarkers. In the present study, serum metabolomic profiles of AoDILD in RA were investigated to generate better potential metabolomic biomarkers. Methods: Serum samples of 10 RA patients with AoDILD were collected on admission and in a stable state, more than 3 months before the admission. Serum metabolomic analyses were conducted on the samples from these RA patients with AoDILD. Results: Apparently distinct serum metabolomic profiles in AoDILD were not observed in univariate or hierarchical cluster analyses. Partial least squares-discriminant analysis (PLS-DA) was performed to select candidate metabolites based on variable importance in projection (VIP) scores. The PLS-DA model generated from the four metabolites with VIP scores more than 2.25 (mannosamine, alliin, kynurenine, and 2-hydroxybutyric acid) could successfully discriminate AoDILD from the stable condition (area under the curve: 0.962, 95% confidence interval: 0.778–1.000). Conclusion: It was demonstrated that metabolomic profiling was useful to generate better biomarkers in AoDILD.


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