View clinical trials related to Drug-drug Interaction.
Filter by:This study aims to assess the prevalence and the outcome of prescribing drugs known to have major drug-drug interactions with anti-tuberculous drugs among Kasr Alainy tuberculous patients.
The drug-drug interaction study has been designed to investigate the effect of Fluvoxamine, Itraconazole and Paroxetine on the pharmacokinetics of ASN51
This is A two-arm, open-label, single-sequence, multiple oral dosings, crossover study to evaluate the safety and the pharmacokinetic interaction of DWC202313 and DWC202314 in healthy adult volunteers.
The main goal of this clinical study is to test how CYP2B6 genetic variations and efavirenz (cornerstone in HIV-1 therapy) dictate the disposition (PK) of CYP2B6 substrate (methadone) and PK and effect (PD) of CYP1A2 substrate (tizanidine). Specifically, the investigators will test whether efavirenz produces CYP2B6 genotype dependent unanticipated DDIs with CYP2B6 (methadone) and CYP1A2 (tizanidine), leading to lack of efficacy or increased toxicity. Healthy volunteers genotyped for CYP2B6*6 and *18 alleles will be grouped in to three genotype predicted phenotype groups: 20 normal metabolizer (NM) (CYP2B6*1/*1); 20 intermediate metabolizer (IM) (*1/*6, or *1/*18); and 20 poor metabolizer (PM) (*6/*6, *6/*18 or *18/*18). Each phenotype group will receive methadone and tizanidine (separated by a washout period) on two occasions: at baseline (control) and after treatment with efavirenz (600 mg/day for 17 days).
Enzalutamide is one of the oncolytic drugs that showed efficacy and safety in most of the features of prostate cancer. Approximately 17% of the patients treated with enzalutamide need pain control. Nearly all opioids are metabolized through one of the CYP enzymes induced by enzalutamide, making optimal pain management difficult. For pain control, while using enzalutamide, morphine is being advised since morphine is mainly glucuronidated by UGT2B7 and to a lesser extent UGT1A1. Enzalutamide is in vitro an inducer of UGT1A1 and may inhibit UGT2B7 which could alter morphine concentrations, though the clinical relevance of this interaction is unknown. In patients with cancer, Direct Oral Anticoagulants (DOACs) are frequently used since vitamin-K antagonists were reported less effective than DOACs in preventing thromboembolic events. However, DOACs are all metabolized through CYP3A4 or P-gp. Due to interaction potential with DOACs, patients treated with enzalutamide are switched to Low Molecular Weight Heparin (LMWHs) administered subcutaneously which is considered safe but less patient friendly. For patients comfort DOACs are preferred over the use of LMWHs. Since rivaroxaban and apixaban are both major substrates for CYP3A4, combination with enzalutamide is prohibited. Dabigatran is a DOAC which is only metabolized by P-gp and edoxaban is a minor substrate for CYP3A4. Therefore, both might be safe to combine with enzalutamide. However, in patients with an active malignancy edoxaban is preferred according to national guidelines. Still, it is unknown if enzalutamide has a significant effect on the edoxaban exposure. The purpose of this study is to evaluate the effect of enzalutamide on morphine and edoxaban pharmacokinetics.
This is an open-label, two period, fixed-sequence, drug-drug interaction study to compare the PK and PD of orally administered AV-101 alone and in combination with probenecid in healthy subjects. In Treatment Period 1, subjects will receive AV-101 following an overnight fast of at least 8 hours. In Treatment Period 2, subjects will fast overnight for at least 8 hours, and then receive AV-101 2 hours after receiving 1,000 mg probenecid. Each Treatment Period will be separated by a washout period. The doses of AV-101 in Cohort 1 and a possible Cohort 2 will be 360 mg and 720 mg, respectively. Optional Cohorts 3 and 4 may be enrolled depending on results from Cohorts 1 and 2. CSF will be collected via indwelling catheter to determine the PK of AV-101 and its active metabolite 7-Cl-KYNA.
The study investigators are conducting foundational pharmacokinetic (PK) and qualitative studies, among 15-24 years old (inclusive) adolescent girls and young women living with HIV (AGYWLHIV) already on oral antiretroviral therapy (ART) and virally suppressed, leading up to a hybrid type I effectiveness-implementation trial randomizing individual AGYWLHIV to receive long-acting (LA) injectable cabotegravir/rilpivirine vs. standard of care within one of Kenya's largest HIV treatment programs. The PK and qualitative studies will investigate potential issues arising from co-delivery and guide delivery of the effectiveness-implementation trial. The PK and qualitative studies will largely be conducted with a sentinel cohort of AGYWLHIV. Learning from this early LA ART use, the investigators will refine the procedures in the LA ART hybrid trial.
Drug-related problems in newborn babies have been reported with a rate of 4-30%. It is estimated that the higher rates of these problems in hospitalized children under the age of two are related to the variety of drugs used and the differences in the age, weight and diagnosis of the patients. In this context, with the clinical parameters and demographic data obtained in the first 24 hours of the patients hospitalized in the neonatal intensive care unit, machine learning algorithms are used to predict the risks that may arise from possible drug-related problems (prescribing and administration errors, side effects and drug-drug interactions) that may occur during hospitalization. The algorithm, which will be created by modeling with a high number of big data pool, is planned to be transformed into a clinical decision support system software that can be used easily in clinical practice with online and mobile applications. By processing the data of the patients to be included in the model, it is aimed to prevent and manage drug-related problems before they occur, as well as to provide cost-effective medşcation treatment to patients hospitalized in the neonatal intensive care unit, together with a reduction in the risk of drug-related mortality and morbidity.
This is a prospective, single-center, fixed-sequence, nonrandomized, open-label study in healthy adults to investigate the impact of rifabutin on the pharmacokinetics of trikafta.