Analysis of response to enteral infusion of levodopa in patients with Parkinson's disease

Objective: We present a new evaluation of levodopa plasma concentrations and clinical effects during duodenal infusion of a levodopa/carbidopa gel (Duodopa ) in 12 patients with advanced Parkinson s disease (PD), from a study reported previously (Nyholm et al, Clin Neuropharmacol 2003; 26(3): 156-163). One objective was to investigate in what state of PD we can see the greatest benefits with infusion compared with corresponding oral treatment (Sinemet CR). Another objective was to identify fluctuating response to levodopa and correlate to variables related to disease progression. Methods: We have computed mean absolute error (MAE) and mean squared error (MSE) for the clinical rating from -3 (severe parkinsonism) to +3 (severe dyskinesia) as measures of the clinical state over the treatment periods of the study. Standard deviation (SD) of the rating was used as a measure of response fluctuations. Linear regression and visual inspection of graphs were used to estimate relationships between these measures and variables related to disease progression such as years on levodopa (YLD) or unified PD rating scale part II (UPDRS II).Results: We found that MAE for infusion had a strong linear correlation to YLD (r2=0.80) while the corresponding relation for oral treatment looked more sigmoid, particularly for the more advanced patients (YLD>18).

The most severe parkinsonian patients are most improved with duodenal levodopa infusion

Objectives:To find variables correlated to improvement with intraduodenal levodopa/carbidopa infusion (Duodopa) in order to identify potential candidates for this treatment. Two clinical studies comparing Duodopa with oral treatments in patients with advanced Parkinson’s disease have shown significant improvement in percent on-time on a global treatment response scale (TRS) based on hourly and half-hourly clinical ratings and in median UPDRS scores.Methods:Data from study 1 comparing infusion with Sinemet CR (12 patients, Nyholm et al, Clin Neuropharmacol 2003; 26(3): 156-163) and study 2 comparing infusion with individually optimised conventional combination therapies (18 patients, Nyholm et al, Neurology, in press) were used. Measures of severity were defined as total UPDRS score and scores for sections II and III, percent functional on-time and mean squared error of ratings on the TRS and as mean of diary questions about mobility and satisfaction (only study 2). Absolute improvement was defined as difference in severity, and relative improvement was defined as percent absolute improvement/severity on oral treatment. Pearson correlation coefficients between measures of improvement and other variables were calculated.Results:Correlations (r2>0.28, p<0.05) between severity during oral treatment and absolute improvement on infusion were found for: Total UPDRS, UPDRS III and TRS ratings (studies 1 and 2) and for diary question 1 (mobility) and UPDRS II (study 2). Correlation to relative improvement was found for total UPDRS (study 2, r2=0.47). Figure 1 illustrates absolute improvement in total UPDRS vs. total UPDRS during oral treatment (study 2).Conclusion:Correlating different measures of severity and improvement revealed that patients with more severe symptoms were most improved and that the relation between severity and improvement was linear within the studied groups. The result, which was reproducible between two clinical studies, could be useful when deciding candidates for the treatment.

How do neighbouring populations affect local population change over time?

This study covers a period when society changed from a pre-industrial agricultural society to a post-industrial service-producing society. Parallel with this social transformation, major population changes took place. In this study, we analyse how local population changes are affected by neighbouring populations. To do so we use the last 200 years of local population change that redistributed population in Sweden. We use literature to identify several different processes and spatial dependencies in the redistribution between a parish and its surrounding parishes. The analysis is based on a unique unchanged historical parish division, and we use an index of local spatial correlation to describe different kinds of spatial dependencies that have influenced the redistribution of the population. To control inherent time dependencies, we introduce a non-separable spatial temporal correlation model into the analysis of population redistribution. Hereby, several different spatial dependencies can be observed simultaneously over time. The main conclusions are that while local population changes have been highly dependent on the neighbouring populations in the 19th century, this spatial dependence have become insignificant already when two parishes is separated by 5 kilometres in the late 20th century. Another conclusion is that the time dependency in the population change is higher when the population redistribution is weak, as it currently is and as it was during the 19th century until the start of industrial revolution.