SepsisFLAGS ( FLuidAndGender)
- Status
- UNKNOWN
- Phase
- N/A
Clinical Trials Related to Sepsis
Related studies linked through entity extraction aliases.
Development of a Web-based Multicenter Registry on the Use of oXiris Membrane for EBPTs in Critically Ill Patients
- Status
- ACTIVE_NOT_RECRUITING
- Phase
- N/A
Incidence of Sepsis After Craniocerebral Operation
- Status
- COMPLETED
- Phase
- N/A
Multiple Biomarkers in ICU Sepsis Patients
- Status
- UNKNOWN
- Phase
- N/A
Renal Arterial Resistive Index Versus Novel Biomarkers for Early Prediction of Sepsis Associated-acute Kidney Injury
- Status
- COMPLETED
- Phase
- N/A
Human Milk Fortification in Extremely Preterm Infants
- Status
- ACTIVE_NOT_RECRUITING
- Phase
- PHASE2/PHASE3
Red Cell Distribution Width Versus Presepsin (Soluble CD14) as a Prognostic Marker in Critically-ill Sepsis Patients
- Status
- COMPLETED
- Phase
- N/A
The Th9/IL-9 and Early Enteral Nutrition in Sepsis
- Status
- UNKNOWN
- Phase
- NA
Effect of Sepsis Response Team in the Emergency Department
- Status
- COMPLETED
- Phase
- N/A
Systems Analysis of Antigen Presenting Cells in Human Sepsis
- Status
- COMPLETED
- Phase
- NA
Peer Support for Post Intensive Care Syndrome Self-Management
- Status
- UNKNOWN
- Phase
- NA
Quantification of Bacterial DNA in Sepsis
- Status
- UNKNOWN
- Phase
- N/A
nSeP: Detecting Neonatal Sepsis by Immune-Metabolic Network Analysis
- Status
- UNKNOWN
- Phase
- N/A
Diastolic Dysfunction and Interstitial Lung Edema in Septic Patients
- Status
- COMPLETED
- Phase
- N/A
A Culturally-Based Palliative Care Tele-consult Program for Rural Southern Elders
- Status
- COMPLETED
- Phase
- NA
Efficacy and Safety of Rheosorbilact® Solution for Infusion, in a Complex Therapy of Sepsis.
- Status
- COMPLETED
- Phase
- PHASE4
mNGS vs Culture Critically Ill Patients
- Status
- UNKNOWN
- Phase
- N/A
Ascorbic Acid and Thiamine Effect in Septic Shock
- Status
- COMPLETED
- Phase
- PHASE2
Effects of Electrical Stimulation for Preventing Loss of Muscle Mass in Patients With SIRS, Sepsis and Septic Shock
- Status
- COMPLETED
- Phase
- NA
Unsupervised Machine Learning for Clustering of Septic Patients to Determine Optimal Treatment
- Status
- UNKNOWN
- Phase
- PHASE2