Using advanced techniques to detect and investigate infections caused by nontuberculous mycobacteria in healthcare settings
Combined Use of Statistical Process Control and Whole Genome Sequencing to Detect and Investigate Nontuberculous Mycobacterial Clusters and Outbreaks
This study is working on better ways to find and understand nontuberculous mycobacterial infections, especially for patients with weakened immune systems, by using advanced technology to track outbreaks in hospitals and improve patient safety.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Duke University NIH-funded |
| Lab location | 1 site (Durham, United States) |
| Project ID | NIH-10867337 on NIH RePORTER |
What this research studies
This research focuses on improving the detection and investigation of nontuberculous mycobacterial (NTM) infections, which are increasingly recognized as significant threats in healthcare environments, particularly for immunosuppressed patients. By combining statistical process control methods with whole genome sequencing, the project aims to create a systematic approach for identifying outbreaks and understanding their origins. This integrated platform will help healthcare facilities respond more effectively to NTM clusters, ultimately enhancing patient safety and care. The research will be conducted within a hospital network to ensure comprehensive data collection and analysis.
Who could benefit from this research
Good fit: Ideal candidates for this research include immunosuppressed patients who are at higher risk for NTM infections, particularly those receiving care in healthcare facilities.
Not a fit: Patients who are not immunosuppressed or those who do not have a history of NTM infections may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to faster detection and better management of NTM outbreaks, significantly improving outcomes for vulnerable patients.
How similar studies have performed: Previous research has shown that combining statistical methods with genomic analysis can effectively enhance outbreak detection in various infectious diseases, suggesting a promising approach for this study.
Where this research is happening
Durham, United States
- Duke University — Durham, United States (Active)
Researchers
- Principal investigator: Baker, Arthur W — Duke University
- Study coordinator: Baker, Arthur W
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.