W Pollini | PubMed Health

PubMed1999

Determination of ramoplanin in human urine by high-performance liquid chromatography with automated column switching.

Ramoplanin is a novel glycolipodepsipeptide antibiotic, currently undergoing clinical trials. This method describes the determination of ramoplanin by direct injection of human urine into a coupled-column liquid chromatographic system. An internal-surface reversed-phase column has been used for on-line sample clean-up and enrichment. Analytical separation of ramoplanin and MDL 62,456 used as internal standard, has been achieved on a ABZ+ reversed-phase column with ammonium acetate buffer-acetonitrile-methanol according to a gradient profile. Analytes were detected by their UV absorbance at 270 nm. The limit of quantitation was 0.1 microgram/ml urine and the limit of detection was found to be 0.035 microgram/ml, corresponding to 13.7 pmol/ml. Linearity was determined in the range 0.1-2 micrograms/ml. Precision (relative standard deviation) ranged from 0.71 to 8.75% and the accuracy from -9.9 to 11.6%. Different human sources were tested and no interference between analytes and urine constituents was observed. The method is simple and rapid, requiring a total analysis time of 35 min per sample and reaching greater selectivity and accuracy than microbiological assays.

Anti-Bacterial Agents↗

PubMedDate not supplied

Eskimo: an epidemiological simulation kinetic model for tuberculosis.

A simple, easy to use, kinetic model allowing the simulation of the main epidemiological parameters of tuberculosis and of the financial costs associated with the implementation of different anti-tuberculous policies, has been developed and described. The model, which has been denominated "ESKIMO" (Epidemiological Simulation Kinetic Model) can be utilized on a personal computer and requires, for its use, the knowledge of a series of easily available census data relative to a given country or geographical area, an essential epidemiological profile of the disease in the same area and data which characterize one or more antituberculous treatments in therapeutic and financial terms. The rationale of the model, which is a multicompartemental system, derive from an analysis of the relationships (transfer rates) between sub-populations of individuals in relation to tuberculosis either when the dynamic state of the system is governed by "natural forces" (no treatment) or when an external action is applied to it with an aim to alter its internal pathways in a favourable sense (vaccination, long-term hospitalization, chemotherapy). The model is based on the assumption that the main objective of any antituberculous program is the reduction in size of the subpopulation of patients who can infect other individuals and therefore perpetuate the disease. Validation and projection tests carried out through Eskimo seem to indicate that concentrating the analysis on the effect of various treatments on this group of patients simplifies the calculations while the relative precision of the estimates of other parameters is very satisfactory. The results of several simulations substantiate and quantify the opinions expressed by several experts in the past that the policy of applying cheap regimens of low efficacy to a relatively small fraction of the patients' population, as frequently done in developing countries, not only does not alter the trend of the disease but produces essentially negative results (increase in the number of new cases and in the frequency of resistant M. tuberculosis). Treatment with highly effective regimens of the same number of patients as those treated now (constant coverage) and therefore without the extra costs resulting from the improvement of the available sanitary infrastructures, produces much better results in clinical terms and overall saving of financial resources.

Computer Simulation↗