Ambient air pollution may affect the severity of untreated OSA, but it is unknown whether air pollution adversely impacts the effectiveness of positive airway pressure (PAP) therapy.

Lung cancer screening programs provide an opportunity to support people who smoke to quit, but the most appropriate model for delivery remains to be determined. Immediate face-to-face smoking cessation support for people undergoing screening can increase quit rates, but it is not known whether remote delivery of immediate smoking cessation counselling and pharmacotherapy in this context also is effective.

The sex differences in use, safety outcomes, and health-care resource use of patients with pulmonary embolism (PE) undergoing percutaneous pulmonary artery thrombectomy are not well characterized.

Inhaled corticosteroids (ICSs) have been used widely in the maintenance therapy of COPD. However, whether inhaled therapy containing ICSs can reduce the all-cause mortality risk and the possible benefited patient subgroups is unclear.

Lung ultrasound (LUS) scanning is useful to diagnose and assess the severity of pulmonary lesions during COVID-19-related ARDS (CoARDS). A conventional LUS score is proposed to measure the loss of aeration during CoARDS. However, this score was validated during the pre-COVID-19 era in patients with ARDS in the ICU and does not consider the differences with CoARDS. An alternative LUS method is based on grading the percentage of extension of the typical signs of COVID-19 pneumonia on the lung surface (LUSext).

There is a growing consensus that the perspective of the patient should be considered in the evaluation of novel interventions.

Few large-scale studies have demonstrated the efficacy of tobramycin nebulization in bronchiectasis. We evaluated the efficacy and safety of nebulized tobramycin inhalation solution (TIS) in adults with bronchiectasis with Pseudomonas aeruginosa infection.

In recent decades, the incidence of multidrug-resistant (MDR) and extended-spectrum β-lactamase (ESBL) gram-negative (GN) bacteria has increased progressively among lung transplantation (LT) recipients. A prompt diagnosis, prevention, and management of these pathogens remain the cornerstone for successful organ transplantation.

Artificial intelligence tools and techniques such as machine learning (ML) are increasingly seen as a suitable manner in which to increase the prediction capacity of currently available clinical tools, including prognostic scores. However, studies evaluating the efficacy of ML methods in enhancing the predictive capacity of existing scores for community-acquired pneumonia (CAP) are limited. We aimed to apply and validate a causal probabilistic network (CPN) model to predict mortality in patients with CAP.

Cystic fibrosis (CF) is a genetic disease in which mutations in the gene encoding for the CF transmembrane conductance regulator protein result in a multisystem disease dominated by digestive and respiratory manifestations. In the mid-20th century, CF caused death within the first years of life. Over the past decades, advances in disease management, which includes systematic neonatal screening, multidisciplinary symptomatic CF care, lung transplantation and, more recently, highly effective CF transmembrane conductance regulator modulators, have transformed the prognosis of people with CF markedly. In most countries with well-established CF care, adults now outnumber children, and life expectancy is expected to increase further, narrowing the survival gap with the general population. However, marked differences in the prognosis of CF exist not only among high-, low-, and middle-income countries but also among high-income countries, based on the presence and quality of a specialized CF care provision network. Current evidence suggests that differences in patient clinical status and survival could be attributable not only to intrinsic disease severity but also to disparities in access to high-quality specialized care. Because CF is generally a progressive disease, adults with CF often show increased pulmonary severity and complications and increased occurrence of comorbidities, which highlights the need for specialized adult CF centers. This article seeks to describe the evolution of CF demography over the past decades, predict future trends, and anticipate the future provision of adult CF care.

The management of pulmonary arterial hypertension (PAH) has become more complex in recent years because of increased pharmacotherapy options and longer patient survival with increasing numbers of comorbidities. As such, more opportunities exist for drug-drug interactions between PAH-targeted medications and medications potentially used to treat comorbid conditions. In this review, we provide an overview of pharmaceutical metabolism by cytochrome P450 and discuss important drug-drug interactions for the 14 Food and Drug Administration-approved medications for PAH in the nitric oxide (NO), endothelin, and prostacyclin pathways. Among the targets in the NO pathway (sildenafil, tadalafil, and riociguat), important interactions with nitrates, protease inhibitors, and other phosphodiesterase inhibitors can cause profound hypotension. In the endothelin pathway, bosentan is associated with more drug interactions via CYP3A4 inhibition; macitentan and ambrisentan have fewer interactions of note. Although the parenteral therapies in the prostacyclin pathway bypass significant liver metabolism and avoid drug interactions, selexipag and oral treprostinil may exhibit interactions with CYP2C8 inhibitors such as gemfibrozil and clopidogrel, which can raise drug levels. Finally, we provide a framework for identifying potential drug-drug interactions and avoiding errors.