Respirology : official journal of the Asian Pacific Society of Respirology
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Asthma is a chronic and heterogeneous inflammatory disorder with several different phenotypes. Whereas clinical features of asthma are non-specific and pulmonary function tests are often insensitive, further development is needed for efficient treatment or even early diagnosis. Recently, several airway inflammatory biomarkers have emerged as valuable tools in diagnosis and management of asthma. ⋯ Novel therapeutic agents have been developed to target various biomarkers involved in the inflammatory responses and have been investigated in patients with asthma. In this article, we summarized the most studied asthma biomarkers, derived from a variety of biological sources including exhaled gases, induced sputum, serum and urine. Likewise, the effects of current anti-inflammatory asthma treatments on inflammatory biomarkers and some promising biomarkers for developing new targeted therapies are also discussed.
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Randomized Controlled Trial
Randomized trial of 'intelligent' autotitrating ventilation versus standard pressure support non-invasive ventilation: impact on adherence and physiological outcomes.
Effective non-invasive ventilation (NIV) therapy is dependent on optimal ventilator settings to maximize clinical benefit and patient tolerance. Intelligent volume-assured pressure support (iVAPS) is a hybrid mode of servoventilation, providing constant automatic adjustment of pressure support (PS) to achieve a target ventilation determined by the patient's requirements. In a randomized crossover trial, we tested the hypothesis that iVAPS, with automated selection of ventilator settings, was non-inferior to standard PS ventilation, with settings determined by an experienced health-care professional, for controlling nocturnal hypoventilation in patients naive to NIV. ⋯ iVAPS servoventilation with automation of ventilation settings is as effective as PS ventilation initiated by a skilled health-care professional in controlling nocturnal hypoventilation and produced better overnight adherence in patients naive to NIV.
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A number of clinical factors play pivotal roles in weaning and successful extubation of patients requiring long-term mechanical ventilator (LTMV) support. Many patients fail extubation even after passing weaning protocols and spontaneous breathing trials. This study aimed to assess the effectiveness of using a modified Burns Wean Assessment Program (m-BWAP) scoring instrument to predict extubation outcome in patients requiring LTMV. ⋯ The m-BWAP is a good predictor for weaning and extubation outcome in patients requiring LTMV for longer than 21 days.
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Oxygen is used in many clinical scenarios, however the variable performance of nasal cannulae makes determining the precise fraction of inspired oxygen (FiO2 ) difficult. We developed a novel method for measurement of the tracheal FiO2 using a catheter placed via bronchoscopy. We investigate the effects of oxygen delivery, respiratory rate, mouth position and estimated minute ventilation (VE ) on the FiO2 delivered by nasal cannulae. ⋯ Continuous measurement of the FiO2 using a transtracheal catheter provides detailed insight into inspiratory changes of the FiO2 delivered by nasal cannulae. Our study confirms that respiratory rate, VE and mouth position significantly influence the inspired oxygen concentration. These parameters should be accounted for when prescribing oxygen.
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This article provides a review of techniques for the analysis of survival data arising from respiratory health studies. Popular techniques such as the Kaplan-Meier survival plot and the Cox proportional hazards model are presented and illustrated using data from a lung cancer study. Advanced issues are also discussed, including parametric proportional hazards models, accelerated failure time models, time-varying explanatory variables, simultaneous analysis of multiple types of outcome events and the restricted mean survival time, a novel measure of the effect of treatment.