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Study on Blood Droplet Digital PCR for Early Detection and Monitoring of Pathogenic Bacteria in ICU Patients with Sepsis
Led by Union Hospital, Tongji Medical College, Huazhong University of Science and Technology · Updated on 2025-03-17
60
Participants Needed
1
Research Sites
N/A
Total Duration
On this page
AI-Summary
What this Trial Is About
Researchers are investigating how droplet digital PCR ddPCR can help identify harmful bacteria early in patients admitted to the intensive care unit ICU with sepsis. This observational study aims to track the presence and amount of bacteria in the blood over time and understand how these bacteria relate to patients clinical conditions and outcomes. The study is conducted at a single center and focuses on critically ill ICU patients with their first sepsis diagnosis. Patients in this study will have their blood tested at various points from admission up to 28 to 30 days or until they leave the ICU. The ddPCR method will be used to monitor the amount of bacterial genetic material in their blood dynamically. This ongoing monitoring helps researchers observe changes in bacterial presence during the critical period of sepsis treatment. Participants will undergo repeated blood sampling at specified intervals days 0, 2-3, 4-5, 6-7, 8-9, 10-12, 13-15, 20-22, and 28-30 after ICU admission. Researchers will measure bacterial nucleic acid loads at these times and track survival status at 28 days after the initial sepsis diagnosis. This monitoring helps assess the relationship between bacterial levels and patient outcomes throughout the observation period.
CONDITIONS
Brief Title
Blood DdPCR for Early Identification and Dynamic Surveillance of Pathogenic Bacteria in ICU Septic Patients: a Single-centre, Prospective, Observational Study
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients with first diagnosis of sepsis after ICU admission
You will not qualify if you...
- Age under 18 years
- Do not meet Sepsis 3.0 diagnostic criteria
- Refusal to sign informed consent
Research Team
Y
You Shang, prof.
X
Xiaobo Yang, prof.
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