Identifying and understanding long-term effects of COVID-19
Informatics Approach to Identification and Deep Phenotyping of PASC Cases
This study is looking to understand the long-lasting symptoms some people have after recovering from COVID-19, so we can better support those who are dealing with these ongoing health issues.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of South Carolina at Columbia NIH-funded |
| Lab location | 1 site (Columbia, United States) |
| Project ID | NIH-10696087 on NIH RePORTER |
What this research studies
This research focuses on identifying individuals who experience long-term symptoms after recovering from COVID-19, known as Post-Acute Sequela of SARS-CoV-2 infection (PASC). Using advanced informatics methods, the study aims to analyze a large dataset of COVID-19 patients to characterize the diverse symptoms and health impacts associated with PASC. By employing a semi-supervised deep phenotyping approach, researchers will create a detailed profile of affected individuals, which could help in developing targeted treatments and care strategies. The study leverages a comprehensive data repository that includes electronic health records and other health-related data.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals who have recovered from COVID-19 and are experiencing persistent symptoms such as fatigue, breathlessness, or cardiovascular issues.
Not a fit: Patients who have not been infected with COVID-19 or those without any long-term symptoms may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved identification and management of long-term COVID-19 symptoms, enhancing patient care and outcomes.
How similar studies have performed: Other research has shown promise in using informatics approaches to analyze health data, suggesting that this methodology could yield valuable insights into PASC.
Where this research is happening
Columbia, United States
- University of South Carolina at Columbia — Columbia, United States (Active)
Researchers
- Principal investigator: Li, Xiaoming — University of South Carolina at Columbia
- Study coordinator: Li, Xiaoming
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.