Real World Data and Real World Evidence Using TriNetX: The TauliMar Clinical Research Network

Area of Science:

• Health Informatics
• Clinical Research
• Real-World Data Analysis

Background:

• TriNetX facilitates global health research by connecting healthcare organizations and pharmaceutical companies.
• Real-world data (RWD) is crucial for advancing clinical research and understanding disease.
• European healthcare collaborations are vital for increasing patient sample size and diversity.

Purpose of the Study:

• To introduce the TauliMar Network, a novel European research collaboration.
• To investigate the complex interplay between COVID-19, type 2 diabetes, and depression.
• To explore the potential of repurposing antilipemic drugs, like statins, for depression treatment.

Main Methods:

• Establishing a unique collaboration between Hospital del Mar and Hospital Parc Taulí in Spain under the TriNetX network.
• Utilizing real-world data to analyze patient populations and identify correlations.
• Focusing research on inflammatory pathways connecting the studied conditions.

Main Results:

• The TauliMar Network enhances statistical power through increased patient sample size and diversity.
• Data privacy and regulatory compliance are maintained throughout the research process.
• Ongoing studies are actively exploring the etiological links and therapeutic potentials.

Conclusions:

• The TauliMar Network represents a significant advancement in European collaborative health research.
• This collaboration leverages RWD to address complex health challenges like the comorbidity of COVID-19, diabetes, and depression.
• The network's approach facilitates the discovery of novel therapeutic strategies, such as drug repurposing for mental health conditions.