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Severe Sepsis Clinical Trials
A listing of 4 Severe Sepsis clinical trials actively recruiting volunteers for paid trials and research studies in various therapeutic areas.
1 - 4 of 4
There are currently 4 active clinical trials seeking participants for Severe Sepsis research studies. The states with the highest number of trials for Severe Sepsis participants are California, Victoria, Massachusetts and Texas.
Featured Trial
Paid Clinical Studies Nationwide
Recruiting
Nationwide clinical trials offered in your area. Some trials offering up to several thousand dollars in compensation for participation.
Featured Trial
Chronic Cough Clinical Study
Recruiting
We are evaluating an investigational treatment to see if it may help people dealing with chronic cough.
Eligible participants will receive study-related medical care at no cost. You may be compensated for study-related travel and time. Health insurance is not required. If you qualify, you may receive:
Payment up to $1500, which varies by study.
Eligible participants will receive study-related medical care at no cost. You may be compensated for study-related travel and time. Health insurance is not required. If you qualify, you may receive:
Payment up to $1500, which varies by study.
Conditions:
Cough
Chronic Cough
Asthma
Allergic Asthma
Sinusitis
Featured Trial
Healthy Volunteer Trials
Recruiting
Healthy trials near you are looking for participants to help push medical research forward. Click through to learn more!
Conditions:
Healthy
Featured Trial
Healthy Volunteer Clinical Studies
Recruiting
Find a study looking for volunteers at a study site near you! Some trials offer compensation for time and travel. Click through to learn more about study opportunities.
Conditions:
Healthy
Healthy Volunteers
Alveolar Dead Space as Predictor of Organ Failure in Severe Sepsis
Recruiting
This is an observational study to understand the changes in alveolar dead space in medical critically ill patients with severe infection (severe sepsis) requiring mechanical ventilation and the possibility to predict multi-organ failure.
The measurement of alveolar dead space used to require sophisticated equipment and time. New ventilators have microprocessors that allow rapid mathematical calculation with minimal intervention.
Gender:
All
Ages:
18 years and above
Trial Updated:
10/14/2023
Locations: Memorial Hermann Hospital, Houston, Texas
Conditions: Sepsis, Severe Sepsis, Septic Shock, Multi-organ Failure
Symphony IL-6 Study in Patients at Risk of Severe Sepsis
Recruiting
Symphony IL-6 is a device that quantitates human IL-6 by fluorescence enzyme immunoassay (FEIA) from whole-blood specimens. Use of Symphony IL- 6 removes the need for plasma separation before testing. Symphony IL-6 comprises two components, the Symphony Fluorescence Immunoanalyzer and the Symphony IL-6 Cartridge. Whole blood is added to the cartridge and then up to six cartridges can be inserted into the immunoanalyzer. After 20 minutes a readout and printout are given with a quantitative IL-6 c... Read More
Gender:
All
Ages:
22 years and above
Trial Updated:
09/05/2023
Locations: University of Michigan Medical Center, Ann Arbor, Michigan
Conditions: Severe Sepsis
Symphony IL-6 Cutoff Validation Study for Patients at Risk of Severe Sepsis
Recruiting
Symphony IL-6 is a device that quantitates human IL-6 by fluorescence enzyme immunoassay (FEIA) from whole-blood specimens. Use of Symphony IL- 6 removes the need for plasma separation before testing. Symphony IL-6 comprises two components, the Symphony Fluorescence Immunoanalyzer and the Symphony IL-6 Cartridge. Whole blood is added to the cartridge and then up to six cartridges can be inserted into the immunoanalyzer. After 20 minutes a readout and printout are given with a quantitative IL-6 c... Read More
Gender:
All
Ages:
Between 18 years and 85 years
Trial Updated:
08/11/2023
Locations: Tina McCarthy, Acton, Texas
Conditions: Severe Sepsis
Machine Learning Sepsis Alert Notification Using Clinical Data
Recruiting
Machine learning is a powerful method to create clinical decision support (CDS) tools, when training labels reflect the desired alert behavior. In our Phase I work for this project, we developed HindSight, an encoding software that was designed to examine discharged patients' electronic health records (EHRs), identify clinicians' sepsis treatment decisions and patient outcomes, and pass those labeled outcomes and treatment decisions to an online algorithm for retraining of our machine-learning-b... Read More
Gender:
All
Ages:
18 years and above
Trial Updated:
04/27/2022
Locations: Baystate Health, Springfield, Massachusetts +2 locations
Conditions: Sepsis, Severe Sepsis, Septic Shock
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