Acute exacerbations of idiopathic pulmonary fibrosis are associated with high mortality and are of unknown cause. The effect of air pollution on exacerbations of interstitial lung disease is unknown. This study aims to define the association of air pollution exposure with acute exacerbation of idiopathic pulmonary fibrosis.Patients with idiopathic pulmonary fibrosis and corresponding air pollution data were identified from a longitudinal cohort. Air pollution exposures were assigned to each patient for ozone, nitrogen dioxide, particulate matter, sulfur dioxide and carbon monoxide based on geo-coded residential addresses. Cox proportional hazards models were used to estimate the association of air pollution exposures and acute exacerbations.Acute exacerbation was significantly associated with antecedent 6-week increases in mean level, maximum level and number of exceedances above accepted standards of ozone (hazard ratio (HR) 1.57, 95% CI 1.09–2.24; HR 1.42, 95% CI 1.11–1.82; and HR 1.51, 95% CI 1.17–1.94, respectively) and nitrogen dioxide (HR 1.41, 95% CI 1.04–1.91; HR 1.27, 95% CI 1.01–1.59; and HR 1.20, 95% CI 1.10–1.31, respectively).Increased ozone and nitrogen dioxide exposure over the preceding 6 weeks was associated with an increased risk of acute exacerbation of idiopathic pulmonary fibrosis, suggesting that air pollution may contribute to the development of this clinically meaningful event.

Acute exacerbations of idiopathic pulmonary fibrosis (AE-IPF) have been defined as events of clinically significant respiratory deterioration with an unidentifiable cause. They carry a significant mortality and morbidity and while their exact pathogenesis remains unclear, the possibility remains that hidden infection may play a role. The aim of this pilot study was to determine whether changes in the respiratory microbiota occur during an AE-IPF. Bacterial DNA was extracted from bronchoalveolar lavage from patients with stable IPF and those experiencing an AE-IPF. A hyper-variable region of the 16S ribosomal RNA gene (16S rRNA) was amplified, quantified and pyrosequenced. Culture independent techniques demonstrate AE-IPF is associated with an increased BAL bacterial burden compared to stable disease and highlight shifts in the composition of the respiratory microbiota during an AE-IPF.

Ji W, et al. J Korean Med Sci. 2020 May;35(25):e237. https://doi.org/10.3346/jkms.2020.35.e237

Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet #Preprint #PeerReviewMe: Warning: This is a unreviewed preprint. Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn. Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period. Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author). Background: Lung cancer patients experience various symptoms during treatment. Although pulmonary rehabilitation is an effective way to improve these symptoms, limited medical environment makes it difficult to provide seamless adequate rehabilitation for lung cancer patients. Objective: This study aims to investigate the effects of pulmonary rehabilitation for patients with non-small cell lung cancer by means of a personalized pulmonary rehabilitation program that uses real-time mobile patient health data. Methods: A prospective clinical trial was conducted with 64 non-small cell lung cancer patients aged between 20 and 80 years, diagnosed with lung cancer at Asan Medical Center. A 12-week personalized pulmonary rehabilitation program was administered to investigate the efficacy of the rehabilitation app developed. The participants were randomized into the fixed exercise or fixed-interactive exercise group. At 6 weeks, changes in walking distances during 6 minutes (6MWD) and grade of dyspnea (mMRC), and at 12weeks those in QoL and service satisfaction, were observed. Paired T-test were used for analysis of the variables. Results: An mHealth pulmonary rehabilitation app and real-time patient monitoring website were developed. Significant changes were observed in the intervention group at 12 weeks for 6MWT from 433.43±65.60m to 471.25±75.69m (p=0.001), and 0.94±0.66 to 0.61±0.82 (p=0.017) for mMRC. The intervention showed a significant improvement in the quality of life (EQ-VAS) in compared to the baseline (p=0.002) Conclusions: A personalized mHealth-based pulmonary rehabilitation app for recording and monitoring real-time health data of patients with non-small cell lung cancer can plays a supplementary role in traditional center-based rehabilitation programs. Our clinical trial results support the use of this technology to encourage changes in 6MWT and to improve mMRC.

Background: Despite an initial good response to epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitor (TKI), resistance to treatment eventually develops. Although several resistance mechanisms have been discovered, little data exist regarding Asian patient populations. Methods: Among patients at a tertiary referral hospital in Korea who initially responded well to gefitinib and later acquired resistance to treatment, we selected those with enough tissues obtained before EGFR-TKI treatment and after the onset of resistance to examine mutations by mass spectrometric genotyping technology (Asan-Panel), MET amplification by fluorescence in situ hybridization (FISH), and analysis of AXL status, epithelial-to-mesenchymal transition (EMT) and neuroendocrine markers by immunohistochemistry. Results: Twenty-six patients were enrolled, all of whom were diagnosed with adenocarcinoma with EGFR mutations (19del: 16, L858R: 10) except one (squamous cell carcinoma with 19del). Secondary T790M mutation was detected in 11 subjects (42.3%) and four of these patients had other co-existing resistance mechanisms; increased AXL expression was observed in 5/26 patients (19.2%), MET gene amplification was noted in 3/26 (11.5%), and one patient acquired a mutation in the phosphatidylinositol-4, 5-bisphosphate 3-kinase catalytic subunit alpha isoform (PIK3CA) gene. None of the patients exhibited EMT; however, increased CD56 expression suggesting neuroendocrine differentiation was observed in two patients. Interestingly, conversion from L858R-mutant to wild-type EGFR occurred in one patient. Seven patients (26.9%) did not exhibit any known resistance mechanisms. Patients with a T790M mutation showed a more favorable prognosis. Conclusion: The mechanisms and frequency of acquired EGFR-TKI resistance in Koreans are comparable to those observed in Western populations; however, more data regarding the mechanisms that drive EGFR-TKI resistance are necessary.