Despite its extensive use, there is no evidence that spirometry is useful in the assessment of progression of lung disease in primary ciliary dyskinesia (PCD). We hypothesize that high-resolution computed tomography (HRCT) is a better indicator of PCD lung disease progression than spirometry. We retrospectively evaluated two paired spirometry and HRCT examinations from 20 PCD patients (age, 11.6 years; range, 6.5-27.5 years). The evaluations were performed in stable state and during unstable lung disease. HRCT scans were scored blind by two raters. Compared to the first assessment, at the second evaluation spirometry did not change while HRCT scores significantly worsened (P < 0.01). Age was significantly related to HRCT total (r = 0.5; P = 0.02) and bronchiectasis scores (r = 0.5; P = 0.02). At both evaluations, HRCT total score correlated with FEV(1) (r = -0.5, P = 0.01; r = -0.7, P = 0.001, respectively) and FVC Z scores (r = -0.6, P = 0.006; r = -0.7, P = 0.001, respectively), and bronchiectasis score was related to FEV(1) (r = -0.5, P = 0.03; r = -0.6; P = 0.002, respectively) and FVC Z scores (r = -0.6, P = 0.008; r = -0.7, P = 0.001, respectively). No relationship was found between the change in HRCT scores and the change in spirometry. In PCD, structural lung disease may worsen despite spirometry being stable.

Software engineering and development is well-known to suffer from unplanned overtime, which causes stress and illness in engineers and can lead to poor quality software with higher defects. Recently, we introduced a multi-objective decision support approach to help balance project risks and duration against overtime, so that software engineers can better plan overtime. This approach was empirically evaluated on six real world software projects and compared against state-ofthe-art evolutionary approaches and currently used overtime strategies. The results showed that our proposal comfortably outperformed all the benchmarks considered. This paper extends our previous work by investigating adaptive multi-objective approaches to meta-heuristic operator selection, thereby extending and (as the results show) improving algorithmic performance. We also extended our empirical study to include two new real world software projects, thereby enhancing the scientific evidence for the technical performance claims made in the paper. Our new results, over all eight projects studied, showed that our adaptive algorithm outperforms the considered state of the art multi-objective approaches in 93% of the experiments (with large effect size). The results also confirm that our approach significantly outperforms current overtime planning practices in 100% of the experiments (with large effect size).

Chest MRI was equivalent to HRCT to determine the extent of lung disease in children with non-CF lung disease. The findings support the use of chest MRI as an alternative to HRCT in diagnostic pathways for paediatric chronic lung disorders.

SummaryFractional exhaled nitric oxide (FeNO) is a non invasive method for assessing the inflammatory status of children with airway disease. Different ways to measure FeNO levels are currently available. The possibility of measuring FeNO levels in an office setting even in young children, and the commercial availability of portable devices, support the routine use of FeNO determination in the daily pediatric practice. Although many confounding factors may affect its measurement, FeNO is now widely used in the management of children with asthma, and seems to provide significantly higher diagnostic accuracy than lung function or bronchial challenge tests. The role of FeNO in airway infection (e.g. viral bronchiolitis and common acquired pneumonia), in bronchiectasis, or in cases with diffuse lung disease is less clear. This review focuses on the most recent advances and the current clinical applications of FeNO measurement in pediatric lung disease.

Nitric oxide plays an important role in several physiological and pathophysiological processes in the respiratory tract. Different ways to measure nasal nitric oxide levels in children are currently available. The possibility of obtaining nasal nitric oxide measurement from relatively young children, combined with the availability of portable devices that can be used even in the office setting, opens new perspectives for nasal nitric oxide analysis in the pediatric daily practice. This review presents a synopsis about the current clinical applications of nasal nitric oxide measurement in the pediatric clinical practice. A total of 3,775 articles on the topic were identified, of which 883 duplicates were removed, and 2,803 were excluded based on review of titles and abstracts. Eighty-nine full text articles were assessed for eligibility and 32 additional articles were obtained from the reference lists of the retrieved studies. Since very low nasal nitric oxide levels are found in the majority of patients with primary ciliary dyskinesia, most publications support a central role for nasal nitric oxide to screen the disease, and indicate that it is a very helpful first-line tool in the real-life work-up in all age groups. Decreased nasal nitric oxide concentration is also typical of cystic fibrosis, even though nasal nitric oxide is not as low as in primary ciliary dyskinesia. In other upper airway disorders such as allergic rhinitis, rhinosinusitis, nasal polyposis, and adenoidal hypertrophy, clinical utility of nasal nitric oxide is still critically questioned and remains to be established. Since nNO determination is flow dependent, a general consensus from the major investigators in this area is highly desirable so that future studies will be performed with the same flow rate. A shared nNO methodology will enable to overcome the challenges that lie ahead in incorporating nNO measurement into the mainstream clinical setting of pediatric airway diseases.