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Objective: Tracheotomized patients often suffer from impairments in mucociliary clearance and limited capacities for active expectoration of secretions. We investigated the effects of a specific respiratory intervention method (bagging) for tracheotomized patients on respiratory parameters (pO(2), pCO(2), SpO(2), respiratory rates), swallowing frequency, vigilance and secretion viscosity. Methods: The bagging method supports enforced mobilization and expectoration of secretions by application of a series of manual hyperinflations with a resuscitation bag during active inspiration and manual cough support on the chest. 30 tracheotomized neurological patients participated in a multiple-baseline study including a three-weeks intervention period and a follow-up measurement three weeks after termination of the treatment. Results: Most outcome parameters improved significantly during the intervention period: pO(2) (p<.01), SpO(2) (p<.01), respiratory rates (p<.01), swallowing rates (p<.01), and vigilance scores (p<.01). The quality of bronchial secretions improved in all participants. All effects were sustained up to the follow-up measurements. Conclusion: This preliminary data indicates positive effects for a respiratory intervention method (bagging) on respiratory function and additional respiration-related functions in tracheotomized neurological patients. This easy-to-learn and inexpensive method might expand the range of treatment options for tracheotomized and non-responsive patients.
Das 8. Herbsttreffen Patholinguistik mit dem Schwerpunktthema "Besonders behandeln? Sprachtherapie im Rahmen primärer Störungsbilder" fand am 15.11.2014 in Potsdam statt. Das Herbsttreffen wird seit 2007 jährlich vom Verband für Patholinguistik e.V. (vpl) durchgeführt.
Der vorliegende Tagungsband beinhaltet die vier Hauptvorträge zum Schwerpunktthema, die vier Kurzvorträge aus dem Spektrum Patholinguisitk sowie die Beiträge der Posterpräsentationen zu weiteren Themen aus der sprachtherapeutischen Forschung und Praxis.
Deforestation is a prominent anthropogenic cause of erosive overland flow and slope instability, boosting rates of soil erosion and concomitant sediment flux. Conventional methods of gauging or estimating post-logging sediment flux often focus on annual timescales but overlook potentially important process response on shorter intervals immediately following timber harvest. We resolve such dynamics with non-parametric quantile regression forests (QRF) based on high-frequency (3 min) discharge measurements and sediment concentration data sampled every 30-60 min in similar-sized (similar to 0.1 km(2)) forested Chilean catchments that were logged during either the rainy or the dry season. The method of QRF builds on the random forest algorithm, and combines quantile regression with repeated random sub-sampling of both cases and predictors. The algorithm belongs to the family of decision-tree classifiers, which allow quantifying relevant predictors in high-dimensional parameter space. We find that, where no logging occurred, similar to 80% of the total sediment load was transported during extremely variable runoff events during only 5% of the monitoring period. In particular, dry-season logging dampened the relative role of these rare, extreme sediment-transport events by increasing load efficiency during more efficient moderate events. We show that QRFs outperform traditional sediment rating curves (SRCs) in terms of accurately simulating short-term dynamics of sediment flux, and conclude that QRF may reliably support forest management recommendations by providing robust simulations of post-logging response of water and sediment fluxes at high temporal resolution.