BACKGROUND: Noninvasive ventilation (NIV) is standard of care for chronic hypercapnic respiratory failure, but indications, devices, and ventilatory modes are in constant evolution.RESEARCH QUESTION: To describe changes in prevalence and indications for NIV over a 15-year period; to provide a comprehensive report of characteristics of the population treated (age, comorbidities, and anthropometric data), mode of implementation and follow-up, devices, modes and settings used, physiological data, compliance, and data from ventilator software. STUDY DESIGN AND METHODS:Cross-sectional observational study designed to include all subjects under NIV followed by all structures involved in NIV in the Cantons of Geneva and Vaud (1,288,378 inhabitants).RESULTS: A total of 489 patients under NIV were included. Prevalence increased 2.5-fold since 2000 reaching 38 per 100,000 inhabitants. Median age was 71 years, with 31% being > 75 years of age. Patients had been under NIV for a median of 39 months and had an average of 3 AE 1.8 comorbidities; 55% were obese. COPD (including overlap syndrome) was the most important patient group, followed by obesity hypoventilation syndrome (OHS) (26%). Daytime PaCO 2 was most often normalized. Adherence to treatment was satisfactory, with 8% only using their device < 3.5 h/d. Bilevel positive pressure ventilators in spontaneous/timed mode was the default mode (86%), with a low use of autotitrating modes. NIV was initiated electively in 50% of the population, in a hospital setting in 82%, and as outpatients in 15%.INTERPRETATION: Use of NIV is increasing rapidly in this area, and the population treated is aging, comorbid, and frequently obese. COPD is presently the leading indication followed by OHS.

Rationale and objectivesProne positioning as a complement to oxygen therapy to treat hypoxemia in coronavirus disease (COVID-19) pneumonia in spontaneously breathing patients has been widely adopted, despite a lack of evidence for its benefit.To test the hypothesis that a simple incentive to self-prone for a maximum of 12 h per day would decrease oxygen needs in patients admitted to the ward for COVID-19 pneumonia on low-flow oxygen therapy.MethodsTwenty-seven patients with confirmed COVID-19 pneumonia admitted to Geneva University Hospitals were included in the study. Ten patients were randomised to self-prone positioning and 17 to usual care.Measurements and Main ResultsOxygen needs assessed by oxygen flow on nasal cannula at inclusion were similar between groups. Twenty-four hours after starting the intervention, the median oxygen flow was 1.0 L·min−1 (interquartile range, 0.1–2.9) in the prone position group and 2.0 L·min−1 (interquartile range, 0.5–3.0) in the control group (p=0.507). Median oxygen saturation/fraction of inspired oxygen ratio was 390 (interquartile range, 300–432) in the prone position group and 336 (interquartile range, 294–422) in the control group (p=0.633). One patient from the intervention group who did not self-prone was transferred to the high-dependency unit. Self-prone positioning was easy to implement. The intervention was well tolerated and only mild side-effects were reported.ConclusionsSelf-prone positioning in patients with COVID-19 pneumonia requiring low-flow oxygen therapy resulted in a clinically meaningful reduction of oxygen flow, but without reaching statistical significance.

Background: Despite their poor prognosis, patients with severe chronic obstructive pulmonary disease (COPD) have little access to palliative care and tend to have a high rate of hospital and intensive care unit (ICU) admissions during their last year of life. Objectives: To determine the feasibility of a home palliative care intervention during 1 year versus usual care, and the possible impact of this intervention on emergency, hospital and ICU admissions, survival, mood, and health-related quality of life (HRQL). Methods: Prospective controlled study of patients with severe COPD (GOLD stage III or IV) and long-term oxygen therapy and/or home noninvasive ventilation and/or one or more hospital admissions in the previous year for acute exacerbation, randomized to usual care versus usual care with add-on monthly intervention by palliative care specialists at home for 12 months. Results: Of 315 patients screened, 49 (15.5%) were randomized (26 to early palliative care; 23 to the control group); aged (mean ± SD) 71 ± 8 years; FEV₁ was 37 ± 14% predicted; 88% with a COPD assessment test score > 10; 69% on long-term oxygen therapy or home noninvasive ventilation. The patients accepted the intervention and completed the assessment scales. After 1 year, there was no difference between groups in symptoms, HRQL and mood, and there was a nonsignificant trend for higher admission rates to hospital and emergency wards in the intervention group. Conclusion: Although this pilot study was underpowered to formally exclude a benefit from palliative care in severe COPD, it raises several questions as to patient selection, reluctance to palliative care in this group, and modalities of future trials.

Long term noninvasive ventilation (LTNIV) is a recognized treatment for chronic hypercapnic respiratory failure (CHRF). COPD, obesity-hypoventilation syndrome, neuromuscular disorders, various restrictive disorders, and patients with sleep-disordered breathing are the major groups concerned. The purpose of this narrative review is to summarize current knowledge in the field of monitoring during home ventilation. LTNIV improves symptoms related to CHRF, diurnal and nocturnal blood gases, survival, and health-related quality of life. Initially, patients with LTNIV were most often followed through elective short in-hospital stays to ensure patient comfort, correction of daytime blood gases and nocturnal oxygenation, and control of nocturnal respiratory events. Because of the widespread use of LTNIV, elective in-hospital monitoring has become logistically problematic, time consuming, and costly. LTNIV devices presently have a built-in software which records compliance, leaks, tidal volume, minute ventilation, cycles triggered and cycled by the patient and provides detailed pressure and flow curves. Although the engineering behind this information is remarkable, the quality and reliability of certain signals may vary. Interpretation of the curves provided requires a certain level of training. Coupling ventilator software with nocturnal pulse oximetry or transcutaneous capnography performed at the patient's home can however provide important information and allow adjustments of ventilator settings thus potentially avoiding hospital admissions. Strategies have been described to combine different tools for optimal detection of an inefficient ventilation. Recent devices also allow adapting certain parameters at a distance (pressure support, expiratory positive airway pressure, back-up respiratory rate), thus allowing progressive changes in these settings for increased patient comfort and tolerance, and reducing the requirement for in-hospital titration. Because we live in a connected world, analyzing large groups of patients through treatment of “big data” will probably improve our knowledge of clinical pathways of our patients, and factors associated with treatment success or failure, adherence and efficacy. This approach provides a useful add-on to randomized controlled studies and allows generating hypotheses for better management of HMV.