Biomedical subjects

P G Risha

Publications and source records attributed to P G Risha.

3 recordsLinked to original sources

PubMed2004

The quality of essential antimicrobial and antimalarial drugs marketed in Rwanda and Tanzania: influence of tropical storage conditions on in vitro dissolution.

OBJECTIVE: The quality of 33 formulations of essential antimicrobial and antimalarial drugs (amoxicillin capsules, metronidazole tablets, sulfamethoxazole/trimethoprim tablets, quinine tablets and sulphadoxine/pyrimethamine tablets) marketed in Rwanda and Tanzania was assessed and the influence of tropical storage conditions on potency and in vitro dissolution investigated. METHODS: Drug content and in vitro dissolution were determined immediately after purchase and during 6-month storage under simulated tropical conditions (75% relative humidity, 40 degrees C) using the methods described in the USP 24 monographs on the drugs concerned. RESULTS AND DISCUSSION: At the time of purchase, the drug content of all the formulations was within the limits recommended by the USP 24, but after 6-month storage, the drug content of one sulfamethoxazole/trimethoprim and one quinine formulation were found to be substandard. Immediately after purchase, four formulations (three sulfamethoxazole/trimethoprim and one sulphadoxine/pyrimethamine combination) failed the USP 24 dissolution test. Except for three metronidazole and one quinine formulations, dissolution tests performed after 6 months of storage under simulated tropical conditions showed that drug release remained within the USP 24 recommended values. CONCLUSION: In both countries, essential drug formulations met pharmacopoeial potency requirements, but some had a poor in vitro drug release profiles. Some of the formulations tested were not stable upon storage under simulated tropical conditions.

Anti-Infective Agents↗

PubMed2003

Drug formulations intended for the global market should be tested for stability under tropical climatic conditions.

RATIONALE OBJECTIVE: The quality of drugs imported into developing countries having a tropical climate may be adversely affected if their formulations have not been optimized for stability under these conditions. The present study investigated the influence of tropical climate conditions (class IV: 40 degrees C, 75% relative humidity) on the drug content, in vitro dissolution and oral bioavailability of different formulations of two essential drugs marketed in Tanzania: diclofenac sodium and ciprofloxacin tablets. METHODS: Before and after 3 and 6 months storage under class IV conditions the drug content and in vitro dissolution were evaluated using United States Pharmacopoeia (USP) 24 methods. Following a randomized four-period cross-over study, the pharmacokinetic parameters of drug formulations stored for 3 months under class IV conditions were compared with those stored at ambient conditions. RESULTS: Drug content and drug release from all tested ciprofloxacin formulations were within USP-24 requirements and remained stable during storage at simulated tropical conditions. Oral bioavailability was also not influenced by tropical conditions. The dissolution rate of two diclofenac formulations (Diclo 50 manufactured by Camden and Dicloflame 50 manufactured by Intas) reduced significantly during storage under class IV conditions. After oral administration Camden tablets stored for 3 months under class IV conditions showed a reduction in C(max) (90% CI of C(max) ratio: 0.59 - 0.76). This reduction was smaller than expected based on the in vitro tests. CONCLUSIONS: Some drug formulations imported into Tanzania are not optimized for stability in a tropical climate. Manufacturers and regulatory authorities should pay more attention to the WHO recommendations for testing the stability of drugs under tropical climate conditions. Efforts should be made to improve the in vitro tests to better predict the bioavailability.

Administration, Oral↗

PubMed2002

Principal component analysis of dissolution data with missing elements.

The use of principal component analysis (PCA) for incomplete dissolution data sets is examined. The PC space is constructed using a reference set and the test set is projected in that space. Several cases such as a reference set with missing data, an incomplete test set and both sets measured at different time points, are discussed using two examples: one simulation and one obtained from the pharmaceutical practice. From the many possibilities to deal with missing data, the expectation-maximization algorithm in combination with PCA was chosen. The influence on the similarity or f2 factor is examined too. The sampling with replacement or bootstrap technique, which can be used to obtain confidence limits, can also be used when missing data are present in one of the data sets.

Algorithms↗