View clinical trials related to Drug Interactions.
Filter by:The aim of this study is to identify and assess new health-associated risk factors, including clinical-pharmacological risk factors. The cohort is built using telecommunication approaches. The associations between clinical-pharmacological, social, demographic, behavioral, and environmental characteristics will be assessed. The continuous depersonalized online survey is performed using the original informational resources in the form of specially designed web-site aimed at identification and assessment of population-based pharmacotherapy patterns including characteristics of self-medication, biologically active food supplement intake, polypharmacy, and adverse drug-drug interactions in the people residing in the ecological conditions of various regions of the country. The invitations to participate in the online survey are sent via the SMS messages using the SMS-Target tool provided by OOO T2 Mobile Company. The survey is performed online at www.zdorov.tpu.ru and www.zdorov.expert both specifically designed for questionnaire publication and data accumulation.
Data on the interaction between the etonogestrel (ENG) implant and antiepileptic drug (AED) regimen are scarce. We will evaluated the effect of 2 AED regimens (1 including carbamazepine and the other topiramate) on the pharmacokinetic (PK) parameters of an ENG-releasing implant in women with epilepsy.
A drug interaction (DI) is the mutual action of two drugs in a way that they can increase their action, even to a toxic level, or reduce it to its minimum. People elder than 65 years old have theirs biological ability to metabolized and eliminate drugs impaired. Even more, they tend to suffer from many diseases, are treated for many physicians, and receive many drugs for those conditions. If hospitalized older people are prone to receive a greater number of drugs. This scenario is the worst to suffer from adverse drug events and DI, which in turn compromise more the health and even life of hospitalized older people. Many computerized strategies have been developed to prevent those problems. In this trial the investigators use on line software to early detect DI that could endanger health or life of hospitalized older patients.