A Data Mining Approach for the Identification of Adverse Drug Events (ADE) resulting from Drug-Drug Interactions (DDI) to improve pharmacovigilance

In the current study, epidemiology study is done by means of literature survey in groups identified to be at higher potential for DDIs as well as in other cases to explore patterns of DDIs and the factors affecting them. The structure of the FDA Adverse Event Reporting System (FAERS) database is studied and analyzed in detail to identify issues and challenges in data mining the drug-drug interactions. The necessary pre-processing algorithms are developed based on the analysis and the Apriori algorithm is modified to suit the process. Finally, the modules are integrated into a tool to identify DDIs. The results are compared using standard drug interaction database for validation. 31% of the associations obtained were identified to be new and the match with existing interactions was 69%. This match clearly indicates the validity of the methodology and its applicability to similar databases. Formulation of the results using the generic names expanded the relevance of the results to a global scale. The global applicability helps the health care professionals worldwide to observe caution during various stages of drug administration thus considerably enhancing pharmacovigilance

Biofilm Forming Multi Drug Resistant Staphylococcus spp. Among Patients with Conjunctivitis

Biofilm forming multidrug resistant Staphylococcus spp. are major reservoirs for transmission of ophthalmic infections. They were isolated from ocular patients suffering from conjunctivitis. In this study we analyzed biofilm forming ability, antibiotic resistance profile of the Staphylococcus spp. isolated from clinical ocular patients, and their phylogenetic relationship with other community MRSA. Sixty Staphylococcus spp. strains isolated from clinical subjects were evaluated for their ability to form biofilm and express biofilm encoding ica gene. Among them 93% were slime producers and 87% were slime positive. Staphylococcus aureus and S. epidermidis were dominant strains among the isolates obtained from ocular patients. The strains also exhibited a differential biofilm formation quantitatively. Antibiotic susceptibility of the strains tested with Penicillin G, Ciprofloxacin, Ofloxacin, Methicillin, Amikacin, and Gentamicin indicated that they were resistant to more than one antibiotic. The amplicon of ica gene of strong biofilm producing S. aureus strains, obtained by polymerase chain reaction, was sequenced and their close genetic relationship with community acquired MRSA was analyzed based on phylogenetic tree. Our results indicate that they are genetically close to other community acquired MRSA