Background Due to the 2019 novel coronavirus (COVID-19) disease outbreak, social distancing measures were imposed to control the spread of the pandemic. However, isolation may affect negatively the psychological well-being and impair sleep quality. Our aim was to evaluate the sleep quality of respiratory patients during the COVID-19 pandemic lockdown. Methods All patients who underwent a telemedicine appointment from March 30 to April 30 of 2020 were asked to participate in the survey. Sleep difficulties were measured using Jenkins Sleep Scale. Results The study population consisted of 365 patients (mean age 63.9 years, 55.6% male, 50.1% with sleep-disordered breathing [SDB]). During the lockdown, 78.9% of participants were confined at home without working. Most patients (69.6%) reported at least one sleep difficulty and frequent awakenings was the most prevalent problem. Reporting at least one sleep difficulty was associated with home confinement without working, female gender and diagnosed or suspected SDB, after adjustment for cohabitation status and use of anxiolytics. Home confinement without working was associated with difficulties falling asleep and waking up too early in the morning. Older age was a protective factor for difficulties falling asleep, waking up too early and non-restorative sleep. Notably, SDB patients with good compliance to positive airway pressure therapy were less likely to report sleep difficulties. Conclusions Home confinement without working, female gender and SDB may predict a higher risk of reporting sleep difficulties. Medical support during major disasters should be strengthened and potentially delivered through telemedicine, as this comprehensive approach could reduce psychological distress and improve sleep quality.

Chronic pulmonary aspergillosis in patients with bronchiectasis and coexisting MAC infection is a strong predictor of mortality. Cavitation within nodules and emphysema on HRCT at presentation were independently associated with mortality.

the majority of patients adheres to long term APAP treatment and has good compliance after 5-years of follow-up. Age and initial compliance (% days of use and mean hour/day) have the ability to predict future adherence, as soon as 12 days and 6 months after initiation.

Chronic obstructive pulmonary disease (COPD) is a complex and heterogeneous disease, and there is a clinical need for validated markers and biomarkers that can contribute to the assessment of patients, risk prediction, treatment guidance, and assessment of response. Although according to the 2018 GOLD guidelines clinically useful biomarkers for COPD patients in stable condition have yet to be identified, several clinical markers and biomarkers have been proposed for COPD. These include isolated clinical markers, such as symptoms and Health Status assessment, exercise tests, function tests and imaging, and also composite scores and molecular markers. However, and despite strong efforts to identify useful markers in an attempt to improve prognostic and therapeutic approaches, results have not been consistent and expectations of relying on these markers in near future are faint. Current approaches to COPD have shifted from treating the disease to treating the individual patient. There is a clear need to identify treatable traits, focusing more on the patient and not on the disease, in order to implement an increasingly personalized treatment of COPD in the clinic, leading to true precision medicine. There is a need to identify combinations of clinical markers and biomarkers, genetic markers, and phenotypes that can guide the personalized therapy of COPD patients. This critical review will therefore focus not only on currently established markers and biomarkers in COPD but also on possible future approaches toward precision medicine.