Clinical Research Directory

Telecommunication Technology-based Online Survey

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.

Relationship Between Remimazolam and Etomidate in Induction of General Anesthesia

In modern anesthesia practice, anesthesiologists often need to choose a combination of multiple drugs according to the specific conditions and surgical needs of patients, which can not only achieve more fine anesthesia management, but also improve perioperative safety and patient comfort. In clinical practice, anesthesiologists will use etomidate combined with a small dose of remimazolam for anesthesia induction to obtain more stable hemodynamics, prevent intraoperative awareness, and relieve anxiety.However, what is the best dose ratio of etomidate combined with remimazolam, the current literature does not give clear indicators.

Shared Decision for Drug Interactions in Oral Anticoagulation

The purpose of this project is to implement and evaluate a shared-decision making (SDM) tool called DDInteract that was developed to support decision making for drug-drugs interactions while on oral anticoagulants. DDInteract will be implemented in clinics at the University of Utah, University of Colorado and University of Vanderbilt. DDInteract will be launched from within the electronic health record (EHR) retrieving patient-specific risk factors, will calculate the risk of harm, and will allow providers and patients to dynamically explore "what if" scenarios to optimize treatment and minimize risk. DDInteract will enable shared-decision making using individually-tailored information on the potential benefits and harms of drug interactions in anticoagulated patients.

Opioid Drug Interaction Study

This study will examine the effects of doses of opioid/placebo and doses of alprazolam/placebo, alone and in combination. The primary outcomes are pharmacodynamic measures (subjective ratings of drug liking and other abuse-related effects; physiological outcomes) and pharmacokinetic outcomes (from blood samples) to determine the interaction effects of these compounds.

LDL-C Optimization Using Inclisiran in Patients in Which Drug-Drug Interactions Limit LDL Lowering

Drug-drug interactions often limit statin optimization in a population of patients prescribed cytochrome P3A4 inhibitors, which include immunosuppressive agents, protease inhibitors, and antifungals. These patients frequently have autoimmune conditions or rheumatologic disorders that require complex drug regimens and are often on low-dose statin therapy or no statin at all, resulting in suboptimal LDL levels despite increased cardiovascular (CV) risk. There is an unmet clinical need to improve LDL levels in this vulnerable patient population, which faces increased CV risk due to underlying conditions that also contribute to polypharmacy and multiple drug-drug interactions. This study is a randomized, open-label trial evaluating subcutaneous inclisiran plus standard of care for LDL-C lowering in high-risk primary prevention patients with multiple comorbidities (e.g., Type II diabetes, liver disease, chronic kidney disease, autoimmune disease, solid-organ transplant) who are taking five or more medications in which drug-drug interactions prevent optimization of statin therapy.