Background: This work presents a generalized technique to estimate pulmonary ventilation-to-volume (v/V) distributions using the multiple-breath nitrogen washout, in which both tidal volume (VT) and the end-expiratory lung volume (EELV) are allowed to vary during the maneuver. In addition, the volume of the series dead space (vd), unlike the classical model, is considered a common series unit connected to a set of parallel alveolar units. Methods: The numerical solution for simulated data, either error-free or with the N2 measurement contaminated with the addition of Gaussian random noise of 3 or 5 % standard deviation was tested under several conditions in a computational model constituted by 50 alveolar units with unimodal and bimodal distributions of v/V. Non-negative least squares regression with Tikhonov regularization was employed for parameter retrieval. The solution was obtained with either unconstrained or constrained (VT, EELV and vd) conditions. The Tikhonov gain was fixed or estimated and a weighting matrix (WM) was considered. The quality of estimation was evaluated by the sum of the squared errors (SSE) (between reference and recovered distributions) and by the deviations of the first three moments calculated for both distributions. Additionally, a shape classification method was tested to identify the solution as unimodal or bimodal, by counting the number of shape agreements after 1000 repetitions. Results: The accuracy of the results showed a high dependence on the noise amplitude. The best algorithm for SSE and moments included the constrained and the WM solvers, whereas shape agreement improved without WM, resulting in 97.2 % for unimodal and 90.0 % for bimodal distributions in the highest noise condition. Conclusions: In conclusion this generalized method was able to identify v/V distributions from a lung model with a common series dead space even with variable VT. Although limitations remain in presence of experimental noise, appropriate combination of processing steps were also found to reduce estimation errors.

Introduction: La ventilation non invasive (VNI) est un outil utilisé en soins intensifs pédiatriques (SIP) pour soutenir la détresse respiratoire aigüe. Un échec survient dans près de 25% des cas et une mauvaise synchronisation patient-ventilateur est un des facteurs impliqués. Le mode de ventilation NAVA (neurally adjusted ventilatory assist) est asservi à la demande ventilatoire du patient. L’objectif de cette étude est d’évaluer la faisabilité et la tolérance des enfants à la VNI NAVA et l’impact de son usage sur la synchronie et la demande respiratoire. Méthode: Étude prospective, physiologique, croisée incluant 13 patients nécessitant une VNI dans les SIP de l’hôpital Ste-Justine entre octobre 2011 et mai 2013. Les patients ont été ventilés successivement en VNI conventionnelle (30 minutes), en VNI NAVA (60 minutes) et en VNI conventionnelle (30 minutes). L’activité électrique du diaphragme (AEdi) et la pression des voies aériennes supérieures ont été enregistrées pour évaluer la synchronie. Résultats: La VNI NAVA est faisable et bien tolérée chez tous les enfants. Un adolescent a demandé l’arrêt précoce de l’étude en raison d’anxiété reliée au masque sans fuite. Les délais inspiratoires et expiratoires étaient significativement plus courts en VNI NAVA comparativement aux périodes de VNI conventionnelle (p< 0.05). Les efforts inefficaces étaient moindres en VNI NAVA (résultats présentés en médiane et interquartiles) : 0% (0 - 0) en VNI NAVA vs 12% (4 - 20) en VNI conventionnelle initiale et 6% (2 - 22) en VNI conventionnelle finale (p< 0.01). Globalement, le temps passé en asynchronie a été réduit à 8% (6 - 10) en VNI NAVA, versus 27% (19 - 56) et 32% (21 - 38) en périodes de VNI conventionnelle initiale et finale, respectivement (p= 0.05). Aucune différence en termes de demande respiratoire n’a été observée. Conclusion: La VNI NAVA est faisable et bien tolérée chez les enfants avec détresse respiratoire aigüe et permet une meilleure synchronisation patient-ventilateur. De plus larges études sont nécessaires pour évaluer l’impact clinique de ces résultats. / Introduction: The need for intubation after noninvasive ventilation (NIV) failure is frequent in the pediatric intensive care unit (PICU). One reason is patient-ventilator asynchrony during NIV. Neurally adjusted ventilatory assist (NAVA) is a mode of ventilation controlled by the patient’s neural respiratory drive. The aim of this study was to assess the feasibility and tolerance of NIV-NAVA in children and to evaluate its impact on synchrony and respiratory effort. Methods: This prospective, physiologic, crossover study included 13 patients requiring NIV in the PICU of Sainte-Justine’s Hospital from October 2011 to May 2013. Patients were successively ventilated in conventional NIV as prescribed by the physician in charge (30 minutes), in NIV-NAVA (60 minutes), and again in conventional NIV (30 minutes). Electrical activity of the diaphragm (EAdi) and airway pressure were simultaneously recorded to assess patient-ventilator synchrony. Results: NIV-NAVA was feasible and well tolerated in all patients. One patient asked to stop the study early because of anxiety related to the leak-free facial mask. Inspiratory trigger dys-synchrony and cycling-off dys-synchrony were significantly shorter in NIV-NAVA versus initial and final conventional NIV periods (both p< 0.05). Wasted efforts were also decreased in NIV-NAVA (all values expressed as median and interquartile values): 0 (0 - 0) in NIV-NAVA versus 12% (4 - 20) and 6% (2 - 22) in initial and final conventional NIV, respectively (p< 0.01). As a whole, total time spent in asynchrony was reduced to 8% (6 - 10) in NIV-NAVA, versus 27% (19 - 56) and 32% (21 - 38) in initial and final conventional NIV, respectively (p= 0.05). No difference in term of respiratory effort was noted. Conclusion: NIV-NAVA is feasible and well tolerated in PICU patients and allows improved patient-ventilator synchronization. Larger controlled studies are warranted to evaluate the clinical impact of these findings.

Background: This work presents a generalized technique to estimate pulmonary ventilation-to-volume (v/V) distributions using the multiple-breath nitrogen washout, in which both tidal volume (VT) and the end-expiratory lung volume (EELV) are allowed to vary during the maneuver. In addition, the volume of the series dead space (vd), unlike the classical model, is considered a common series unit connected to a set of parallel alveolar units. Methods: The numerical solution for simulated data, either error-free or with the N2 measurement contaminated with the addition of Gaussian random noise of 3 or 5 % standard deviation was tested under several conditions in a computational model constituted by 50 alveolar units with unimodal and bimodal distributions of v/V. Non-negative least squares regression with Tikhonov regularization was employed for parameter retrieval. The solution was obtained with either unconstrained or constrained (VT, EELV and vd) conditions. The Tikhonov gain was fixed or estimated and a weighting matrix (WM) was considered. The quality of estimation was evaluated by the sum of the squared errors (SSE) (between reference and recovered distributions) and by the deviations of the first three moments calculated for both distributions. Additionally, a shape classification method was tested to identify the solution as unimodal or bimodal, by counting the number of shape agreements after 1000 repetitions. Results: The accuracy of the results showed a high dependence on the noise amplitude. The best algorithm for SSE and moments included the constrained and the WM solvers, whereas shape agreement improved without WM, resulting in 97.2 % for unimodal and 90.0 % for bimodal distributions in the highest noise condition. Conclusions: In conclusion this generalized method was able to identify v/V distributions from a lung model with a common series dead space even with variable VT. Although limitations remain in presence of experimental noise, appropriate combination of processing steps were also found to reduce estimation errors.

Detection of early pathophysiological changes of breathing in children with chronic respiratory disease MD. Vaclav Koucky - Ph.D. thesis Abstract Introduction: Currently, there are different methods for infant pulmonary function testing (iPFT) and morphological assessment of microscopic changes in endobronchial biopsy samples (EBB). In research setting, they allow detection of early pathophysiological changes of breathing in small children with chronic respiratory disease, respectively in risk of its development. Their clinical significance, however, is not fully acknowledged. The aim of this thesis is to evaluate the safety, feasibility and clinical significance of iPFT and EBB in infants younger than 2 years of age. In addition, the relationship between functional and morphological changes of respiratory tract and the function of peripheral chemoreceptors was studied in selected patients' subgroups. Methods: Fifty-five infants with cystic fibrosis (CF), 35 physician-confirmed recurrent wheezers (AB), 9 infants with congenital diaphragmatic hernia, 7 with interstitial lung disease (chILD) and 3 with primary ciliary dyskinesia (PCD) were enrolled. All infants underwent iPFT and relevant clinical history data were recorded. Based on patients' age, CF group was divided into CFmalí (< 6 months) and CFvelcí (>...