Development of a Pharmaco-proteomic Platform to Evaluate Potential Drug Interactions and Their Clinical Impact in Liver Transplant Patients Undergoing Multidrug Treatment
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 48
- 试验地点
- 3
- 主要终点
- Develop a web platform that combines information on interactions between multiple drugs and proteomic and clinical profiles, to predict the clinical evolution in liver transplant patients hospitalized in the ICU
研究概览
简要总结
The goal of this observational study is to enhance the ability to forecast kidney failure in liver transplant patients in the ICU under multidrug treatment by developing a computer platform that integrates mathematical models of drug interactions, proteomics, and clinical data. The main outcomes it aims to develop are:
- Design the multidrug web computing platform with available information on drug pair interactions (DDIs).
- Integrate the proteomic and clinical data of liver transplant patients into the IT platform.
- Implement the multidrug web platform to predict the clinical evolution of liver transplant patients.
详细描述
The aim of this project is to enhance the ability to forecast kidney failure for liver transplant patients in the ICU by developing a computer platform that integrates mathematical models of drug interactions, proteomics, and clinical data. This integrated platform enables the prediction of the development of AKI in patients who have undergone OLT. Through the integration of mathematical models, the platform captures complex interactions between multiple drugs and proteomics data from patients, contributing to an improved predictive capacity for AKI outcomes.
By leveraging proteomic insights, personalized therapeutic interventions can be devised, promoting safer and more effective treatments. This research seeks to empower medical professionals with comprehensive information to navigate the complex landscape of drug interactions and personalized treatment strategies, ultimately contributing to improved patient outcomes and healthcare practices in the realm of liver transplantation.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Liver transplant patients undergoing surgery at UC Christus Hospital
排除标准
- •Patients on renal replacement therapy
- •Patients for whom no clinical or pharmacological registry is available
结局指标
主要结局
Develop a web platform that combines information on interactions between multiple drugs and proteomic and clinical profiles, to predict the clinical evolution in liver transplant patients hospitalized in the ICU
时间窗: 18 to 24 months
Periodic developmental assessments will be carried out (Analysis of drug interaction graphs, Design of the interaction web platform, Integration of omics and clinical data into the web platform)
次要结局
未报告次要终点