Application of Dose-Response Model of Infection in The Risk Assessment
for Contamination Health-Hazard from Pharmaceutical Dosage Forms
Mostafa Essam Eissa*
Quality Control in microbiology, Hikma Pharma Pharmaceutical Company, Egypt
*Correspondence:
mostafaessameissa@yahoo.com
ABSTRACT
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The applications of the dose-response models of
infection for various pathogens and objectionable
microbes have been developed to assess the probability
of the infection for specific microbes. The use of such
models has been implemented in water safety for human
consumption and food industry. But till now, none of
these models have been used in assessing the risk of
infections from contaminated pharmaceutical products.
Multi-dose medicines with significant water activity
are especially products that need careful formulation
as they are liable to microbial spoilage and
proliferation. This deterioration of the multiple-use
dosage forms may impacts their quality, efficacy,
stability and safety. While manufacturing conditions of
pharmaceutical products are controlled and
microbiological cleanliness is monitored through
quality control tests, the in-use behavior and attitude
influenced by the consumers on the dosage forms are
beyond the control of pharmaceutical manufacturing
firms. The mishandling of drugs by the healthcare
professional or the patient himself may affect the
health of the both hospitalized and outdoor users. The
new methodology provides quantitative evaluation. This
review article investigates and highlights the
limitations of the reliance on the preservative
efficacy test (PET) alone and extends its usefulness by
combined application with in-use contamination
simulation study of infection model from pharmaceutical
products. This imitation study will provide new
prospective for the design and evaluation of the new
pharmaceutical dosage forms. This novel simulation
approach may assume either single or multiple spots
contamination models with different intervals using
suitable indicator microbe for the route of
administration of the drug.
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Keywords:
Dose-Response Model; Multi-Use; Water Activity; PET;
Simulation Stu
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