METHODS: Data were retrospectively assessed for 284 recipients who underwent lung transplantation for ILD in our centre between 1987 and 2020. Patient characteristics and outcomes were stratified by three eras: 1987-2000, 2001-2010 and 2011-2020.
RESULTS: Median patients' age at time of transplantation was significantly higher in the most recent decade (56 (51-61) years, p<0.0001). Recipients aged over 50 years had worse overall survival compared with younger patients (adjusted HR, aHR 2.36, 95% CI 1.55 to 3.72, p=0.0001). Better survival was seen with bilateral versus single lung transplantation in patients younger than 50 years (log-rank p=0.0195). However, this survival benefit was no longer present in patients aged over 50 years. Reduced survival was observed in fibrotic non-specific interstitial pneumonia compared with idiopathic pulmonary fibrosis, which remained the most common indication throughout (aHR 2.61, 95% CI 1.40 to 4.60, p=0.0015).
CONCLUSION: In patients transplanted for end-stage ILD, older age and fibrotic non-specific interstitial pneumonia were associated with poorer post-transplant survival. The benefit of bilateral over single lung transplantation diminished with increasing age, suggesting that single lung transplantation might still be a feasible option in older candidates.
METHODS: Relevant published studies, literature and reports were searched from accessible electronic databases and related institutional databases. We used keywords, viz; microbiome, microbiota, microbiome drug delivery and respiratory disease. Selected articles were carefully read through, clustered, segregated into subtopics and reviewed.
FINDINGS: The traditional belief of sterile lungs was challenged by the emergence of culture-independent molecular techniques and the recently introduced invasive broncho-alveolar lavage (BAL) sampling method. The constitution of a lung microbiome mainly depends on three main ecological factors, which include; firstly, the immigration of microbes into airways, secondly, the removal of microbes from airways and lastly, the regional growth conditions. In healthy conditions, the microbial communities that co-exist in our lungs can build significant pulmonary immunity and could act as a barrier against diseases, whereas, in an adverse way, microbiomes may interact with other pathogenic bacteriomes and viromes, acting as a cofactor in inflammation and host immune responses, which may lead to the progression of a disease. Thus, the use of microbiota as a target, and as a drug delivery system in the possible modification of a disease state, has started to gain massive attention in recent years. Microbiota, owing to its unique characteristics, could serve as a potential drug delivery system, that could be bioengineered to suit the interest. The engineered microbiome-derived therapeutics can be delivered through BC, bacteriophage, bacteria-derived lipid vesicles and microbe-derived extracellular vesicles. This review highlights the relationships between microbiota and different types of respiratory diseases, the importance of microbiota towards human health and diseases, including the role of novel microbiome drug delivery systems in targeting various respiratory diseases.
CASE PRESENTATION: A 4 years old girl presented with history of recurrent haemoptysis. Bronchoscopic evaluation excluded a foreign body aspiration but revealed right bronchial mucosal hyperaemia and varices. Diagnosis of right unilateral PVA was suspected on transthoracic echocardiography which demonstrated hypoplastic right pulmonary artery and non-visualization of right pulmonary veins. Final diagnosis was confirmed on cardiac CT angiography. A conservative treatment approach was opted with consideration for pneumonectomy in future when she is older.
CONCLUSION: Rarer causes should be considered when investigating for recurrent haemoptysis in children. Bronchoscopy and cardiac imaging are useful tools to establish the diagnosis of unilateral PVA in our case.
METHODS: Segmented and validated wheeze sounds was collected from 55 asthmatic patients from the trachea and lower lung base (LLB) during tidal breathing maneuvers. Segmented wheeze sounds have been grouped in to nine datasets based on auscultation location, breath phases and a combination of phase and location. Frequency based features F25, F50, F75, F90, F99 and mean frequency (MF) were calculated from normalized power spectrum. Subsequently, multivariate analysis was performed.
RESULTS: Generally frequency features observe statistical significance (p < 0.05) for the majority of datasets to differentiate severity level Ʌ = 0.432-0.939, F(12, 196-1534) = 2.731-11.196, p < 0.05, ɳ2 = 0.061-0.568. It was observed that selected features performed better (higher effect size) for trachea related samples Ʌ = 0.432-0.620, F(12, 196-498) = 6.575-11.196, p < 0.05, ɳ2 = 0.386-0.568.
CONCLUSIONS: The results demonstrated dthat severity levels of asthmatic patients with tidal breathing can be identified through computerized wheeze sound analysis. In general, auscultation location and breath phases produce wheeze sounds with different characteristics.