Respiratory care
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COPD and asthma have different risk factors and pathogenesis, but they share a pathophysiologic hallmark characterized by small airways disease. Although difficult to explore and measure, modifications of distal airways' pathophysiology and biology represent an early sign of obstructive disease and should be researched and assessed in everyday clinical practice. ⋯ We then discuss the latest findings on the role and characteristics of the small airways' inflammatory and cellular structure, and we describe the assessment tools available to detect small airways dysfunction in COPD and asthma and the effect of bronchodilators and inhaled steroids on functional and biological biomarkers. Finally, we analyze the newest technological therapeutic advances aimed at small airways treatment in terms of inhalation devices and small particle size molecules.
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Adaptive servoventilation (ASV) is a recently developed ventilation mode designed to stabilize ventilation in patients with central sleep apnea and Cheyne-Stokes respiration. Alternatively, modes aiming to maintain average ventilation over several breaths, such as average volume-assured pressure support (AVAPS) and intelligent volume-assured pressure support (iVAPS), could be efficient during ventilation instability by reducing central events. These modes are available on a variety of devices. This bench evaluation studied the response of these different modes and devices to simulated transient hypoventilation events. ⋯ ASV devices improved central hypopnea/hypoventilation events without inducing hyperpnea events and therefore were better adapted than AVAPS and iVAPS devices, with notable differences in their responses to hypoventilation events.
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Bedside monitors in the ICU routinely measure and collect patients' physiologic data in real time to continuously assess the health status of patients who are critically ill. With the advent of increased computational power and the ability to store and rapidly process big data sets in recent years, these physiologic data show promise in identifying specific outcomes and/or events during patients' ICU hospitalization. ⋯ Our proposed workflow may prove useful in the design of scalable approaches for real-time predictive systems in ICU environments, exploiting real-time vital sign information from bedside monitors. (ClinicalTrials.gov registration NCT02184208.).
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To increase the understanding of the self-extubation phenomena, we assessed its rate in our medical ICU and aimed to identify the risk factors of self-extubation and the risk factors for re-intubation. ⋯ Results of our study showed that, in the era of reduced use of sedatives in the ICU, clinicians must be vigilant of the risk of self-extubation in the first 2 d of mechanical ventilation in patients who are agitated and with a longer endotracheal tube to carina distance on chest radiograph.
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Scoring systems are frequently used to assess the severity of pediatric asthma exacerbations. The modified pulmonary index score (MPIS) has been found to be highly correlated with length of stay (LOS) in the pediatric intensive care unit (PICU). We sought to evaluate the use of the MPIS to predict hospital LOS for patients admitted to our PICU. ⋯ The MPIS thresholds used in our pathway appropriately predicted LOS in our cohort of subjects with asthma admitted to the PICU. Higher MPIS was associated with increased hospital LOS, PICU LOS, and time on continuous albuterol.