Index Data (index + data)

Distribution by Scientific Domains


Selected Abstracts


Glucosamine sulphate in the treatment of knee osteoarthritis: cost-effectiveness comparison with paracetamol

INTERNATIONAL JOURNAL OF CLINICAL PRACTICE, Issue 6 2010
S. Scholtissen
Summary Introduction:, The aim of this study was to explore the cost-effectiveness of glucosamine sulphate (GS) compared with paracetamol and placebo (PBO) in the treatment of knee osteoarthritis. For this purpose, a 6-month time horizon and a health care perspective was used. Material and methods:, The cost and effectiveness data were derived from Western Ontario and McMaster Universities Osteoarthritis Index data of the Glucosamine Unum In Die (once-a-day) Efficacy trial study by Herrero-Beaumont et al. Clinical effectiveness was converted into utility scores to allow for the computation of cost per quality-adjusted life year (QALY) For the three treatment arms Incremental Cost-Effectiveness Ratio were calculated and statistical uncertainty was explored using a bootstrap simulation. Results:, In terms of mean utility score at baseline, 3 and 6 months, no statistically significant difference was observed between the three groups. When considering the mean utility score changes from baseline to 3 and 6 months, no difference was observed in the first case but there was a statistically significant difference from baseline to 6 months with a p-value of 0.047. When comparing GS with paracetamol, the mean baseline incremental cost-effectiveness ratio (ICER) was dominant and the mean ICER after bootstrapping was ,1376 ,/QALY indicating dominance (with 79% probability). When comparing GS with PBO, the mean baseline and after bootstrapping ICER were 3617.47 and 4285 ,/QALY, respectively. Conclusion:, The results of the present cost-effectiveness analysis suggested that GS is a highly cost-effective therapy alternative compared with paracetamol and PBO to treat patients diagnosed with primary knee OA. [source]


Ultraviolet radiation intensity predicts the relative distribution of dermatomyositis and anti,Mi-2 autoantibodies in women

ARTHRITIS & RHEUMATISM, Issue 8 2009
Lori A. Love
Objective Because studies suggest that ultraviolet (UV) radiation modulates the myositis phenotype and Mi-2 autoantigen expression, we conducted a retrospective investigation to determine whether UV radiation may influence the relative prevalence of dermatomyositis and anti,Mi-2 autoantibodies in the US. Methods We assessed the relationship between surface UV radiation intensity in the state of residence at the time of onset with the relative prevalence of dermatomyositis and myositis autoantibodies in 380 patients with myositis from referral centers in the US. Myositis autoantibodies were detected by validated immunoprecipitation assays. Surface UV radiation intensity was estimated from UV Index data collected by the US National Weather Service. Results UV radiation intensity was associated with the relative proportion of patients with dermatomyositis (odds ratio [OR] 2.3, 95% confidence interval [95% CI] 0.9,5.8) and with the proportion of patients expressing anti,Mi-2 autoantibodies (OR 6.0, 95% CI 1.1,34.1). Modeling of these data showed that these associations were confined to women (OR 3.8, 95% CI 1.3,11.0 and OR 17.3, 95% CI 1.8,162.4, respectively) and suggests that sex influences the effects of UV radiation on autoimmune disorders. Significant associations were not observed in men, nor were UV radiation levels related to the presence of antisynthetase or anti,signal recognition particle autoantibodies. Conclusion This first study of the distribution of myositis phenotypes and UV radiation exposure in the US showed that UV radiation may modulate the clinical and immunologic expression of autoimmune disease in women. Further investigation of the mechanisms by which these effects are produced may provide insights into pathogenesis and suggest therapeutic or preventative strategies. [source]


Remotely sensed data used for modelling at different hydrological scales

HYDROLOGICAL PROCESSES, Issue 8 2002
Peter Droogers
Abstract There is a growing awareness that water will be one of the most critical natural resources and that there is a need for better management of the limited water resources. This paper reports on a study of a water-scarce river basin in western Turkey. Hydrological analyses, emphasizing water use for irrigation, are performed at three different spatial scales (field scale, irrigation scheme scale and basin scale) using two kind of model: a parametric basin-scale model and a physically based crop-scale model. Data accessibility for this basin, especially for areal data, was low. A combined use of public domain data sets and remotely sensed data was used to solve this problem. A public domain digital elevation model was used to generate the streamflow network and the distances and slopes to streams. Land-cover data and leaf area index data were derived from public domain NOAA,AVHRR images. For one irrigation scheme in the basin, detailed areal water balances were obtained from the simulation model and a comparison was made between a normal and a water-short year. At the basin scale, observed flows were compared with simulated flows. It is concluded that remotely sensed data and other public domain data can be used with simulation models at different scales to create a powerful tool to evaluate water resources in a basin context. Copyright © 2002 John Wiley & Sons, Ltd. [source]


Evaluation of a combined penetrometer for simultaneous measurement of penetration resistance and soil water content

JOURNAL OF PLANT NUTRITION AND SOIL SCIENCE, Issue 6 2004
Yurui Sun
Abstract A combined penetrometer is an appropriate tool to measure the soil cone resistance and the water-content profile. As a relatively new technique, a combined capacitance-penetrometer for the simultaneous measurement of cone index and soil water content was developed at the Department of Agricultural Engineering of Bonn University in 2002. The objective of this study was the evaluation of the effectiveness and applicability of the innovated penetrometer with a focus on three aspects: (1) A capacitance sensor with two electrode configurations was calibrated for silt loam, sandy loam, and sand. The calibration results show that both electrode configurations have sufficient water-content sensitivity, but soil-specific calibrations seem necessary. (2) Under laboratory conditions, the dynamic resolution and response of the capacitance-penetrometer were validated, and its radius of influence was determined. (3) The field measurement results demonstrate that this measurement technique can be used to improve the interpretation quality of soil cone index data. Bewertung eines Penetrometers zur gleichzeitigen Bestimmung von Eindringwiderstand und Bodenfeuchte Für die Ermittlung von Bodenprofilen für den Eindringwiderstand und die Bodenfeuchte erscheint die Kombination aus Penetrometer und Bodenfeuchtesensor als geeignete Lösung. Ein solcher Kombinationssensor wurde im Jahr 2002 am Institut für Landtechnik der Universität Bonn für die simultane Messung des Eindringwiderstandes und der Bodenfeuchte entwickelt. In diesem Beitrag wird die Tauglichkeit und Anwendbarkeit für Feldmessungen in folgenden Schritten dargestellt: (1) Ein kapazitiver Sensor mit zwei Elektrodenkonfigurationen wurde für die drei Bodenarten schluffiger Lehm, sandiger Lehm und Sand kalibiriert. Die Kalibrationsgleichungen zeigen, dass beide Elektrodenanordnungen über ausreichende Empfindlichkeit zur Bodenfeuchtemessung verfügen. Es sind aber bodenartspezifische Kalibrierungen notwendig. (2) Die dynamische Auflösung und das Ansprechverhalten des Feuchtesensors wurden für beide Elektrodenanordnungen untersucht, und die Ausbreitung des dielektrischen Feldes wurde bestimmt. (3) Die Ergebnisse der Messungen im gewachsenen Boden zeigen, dass die Messmethode zur Verbesserung der Interpretation der Konus-Indexwerte herangezogen werden kann. [source]


Testing for Offsetting Behavior and Adverse Recruitment Among Drivers of Airbag-Equipped Vehicles

JOURNAL OF RISK AND INSURANCE, Issue 4 2003
David W. Harless
Earlier studies reported that an insurance industry index of personal-injury claims rose after automobiles adopted driver's side airbags and that drivers of airbag-equipped vehicles were more likely to be at fault in fatal multivehicle accidents. These findings can be explained by the offsetting behavior hypothesis or by at-risk drivers systematically selecting vehicles with airbags (i.e., adverse recruitment). We test for offsetting behavior and adverse recruitment after airbag adoption using a database containing information on fatal accidents including information on drivers' previous records and drivers' actions that contributed to the occurrence of the accident. Further, we reexamine the personal injury claims index data for newly airbag-equipped vehicles and show that the rise in the index after airbag adoption may be attributable to moral hazard and a new vehicle ownership pattern. Rental car drivers are much more likely to commit grievous acts than other drivers, and the proportion of new automobiles in daily rental service more than doubled during the period of airbag adoption. [source]


Characterization of the yerba mate (Ilex paraguariensis) volatile fraction using solid-phase microextraction-comprehensive 2-D GC-MS

JOURNAL OF SEPARATION SCIENCE, JSS, Issue 21 2009
Giorga Purcaro
Abstract The present research is focused on the use of a solid-phase microextraction-comprehensive 2-D GC methodology, in the analysis of the volatile fraction of yerba mate. Yerba mate is used for the generation of a tea-like beverage, widely consumed in South America. A rapid-scanning quadrupole mass spectrometer (qMS), employed as a detection system and operated at a 25,Hz scanning frequency, supplied high-quality mass spectra. The effectiveness of the 3-D comprehensive 2-D GC-qMS experiment was compared to that of GC-qMS analysis on the same sample. Peak identification, in both applications, was achieved through MS library matching, with the support of linear retention index data. Apart from a great increase in the number of analytes separated (approx. by a factor of 5) and identified (approx. by a factor of 3.5), the comprehensive 2-D GC-qMS approach enabled the determination of a high number of hazardous contaminants (aliphatic hydrocarbons, polycyclic aromatic hydrocarbons, and plasticizers), barely visible in the GC-qMS analysis. [source]


Regression-based Multivariate Linkage Analysis with an Application to Blood Pressure and Body Mass Index

ANNALS OF HUMAN GENETICS, Issue 1 2007
T. Wang
Summary Multivariate linkage analysis has been suggested for the analysis of correlated traits, such as blood pressure (BP) and body mass index (BMI), because it may offer greater power and provide clearer results than univariate analyses. Currently, the most commonly used multivariate linkage methods are extensions of the univariate variance component model. One concern about those methods is their inherent sensitivity to the assumption of multivariate normality which cannot be easily guaranteed in practice. Another problem possibly related to all multivariate linkage analysis methods is the difficulty in interpreting nominal p-values, because the asymptotic distribution of the test statistic has not been well characterized. Here we propose a regression-based multivariate linkage method in which a robust score statistic is used to detect linkage. The p-value of the statistic is evaluated by a simple and rapid simulation procedure. Theoretically, this method can be used for any number and type of traits and for general pedigree data. We apply this approach to a genome linkage analysis of blood pressure and body mass index data from the Beaver Dam Eye Study. [source]