Clinical trials: Severe Septic Syndrome
- Condition Severe Septic Syndrome
- Funder type Industry (pharma, biotech, devices)
- Accepts healthy volunteers yes
Sepsis, Severe Sepsis
RCT of Sepsis Machine Learning Algorithm
The focus of this study will be to conduct a prospective, multi-center randomized controlled trial (RCT) at Cape Regional Medical Center (CRMC), Oroville Hospital (OH), and UCSF Medical Center (UCSF) in which a machine-learning…
- Conditions
- Sepsis, Severe Sepsis, Septic Shock
- Trial name
- NCT03882476
- Testing
- InSight
- Volunteers
- healthy volunteers welcome
- Sponsor
- Dascena
Severe Sepsis
Effect of a Sepsis Prediction Algorithm on Clinical Outcomes
In this clinical outcomes analysis, the effect of a machine learning algorithm for severe sepsis prediction on in-hospital mortality, hospital length of stay, and 30-day readmission was evaluated.
- Trial name
- NCT03960203
- Testing
- InSight
- Volunteers
- 75,147 people, healthy volunteers welcome
- Sponsor
- Dascena
Invasive Candidiasis, Candidemia
Risk Of Severe Hepatic Injury In Patients With Invasive Candidiasis Treated With Echinocandins
The purpose of this study is to estimate the relative risk of severe hepatic injury in hospitalized patients with invasive candidiasis and candidemia who received anidulafungin, compared to patients who received caspofungin…
- Trial name
- NCT01213823
- Testing
- Does not apply
- Volunteers
- 536 people, healthy volunteers welcome
- Sponsor
- Pfizer
Severe Sepsis
Pharmacokinetics, Safety, Tolerability and Pharmacodynamics of BMS-986189 in Healthy Subjects
The main purpose of this study is to measure the amount of study drug (BMS-986189) in the blood and urine and to see if BMS-986189 is safe and well-tolerated in healthy people after a single dose.
- Trial name
- NCT02739373
- Testing
- BMS-986189
- Where
- United States
- Volunteers
- 76 people, healthy volunteers welcome
- Sponsor
- Bristol-Myers Squibb
Sepsis, Severe Sepsis
Machine Learning Sepsis Alert Notification Using Clinical Data
Machine learning is a powerful method to create clinical decision support (CDS) tools, when training labels reflect the desired alert behavior.
- Conditions
- Sepsis, Severe Sepsis, Septic Shock
- Trial name
- HindSight P2 (NCT04005001)
- Testing
- HindSight, InSight
- Where
- 3 sites in United States
- Volunteers
- 37,986 people, healthy volunteers welcome
- Sponsor
- Dascena
Sepsis, Severe Sepsis
Unsupervised Machine Learning for Clustering of Septic Patients to Determine Optimal Treatment
The focus of this study will be to conduct a prospective, randomized controlled trial (RCT) at Cape Regional Medical Center (CRMC), Oroville Hospital (OH), and UCSF Medical Center (UCSF) in which a fluid treatment-specific…
- Conditions
- Sepsis, Severe Sepsis, Septic Shock
- Trial name
- NCT03752489
- Testing
- Treatment-specific InSight, InSight
- Volunteers
- 51,645 people, healthy volunteers welcome
- Sponsor
- Dascena
Sepsis, Severe Infection
Evaluation of Monocyte Volume Distribution Width (MDW) for Early Detection of Sepsis
The measurement of monocyte volume width distribution (MDW) is intended for use with adult patients presenting to the emergency department (ED), where a CBC with Differential has been ordered, as an aid in the early detection of…
- Trial name
- MDW (NCT03145428)
- Testing
- CBC-Diff Monocyte volume width distribution (MDW)
- Where
- 3 sites in United States
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- Beckman Coulter, Inc.
Sepsis, Severe Sepsis
Gram Type Infection-Specific Sepsis Identification Using Machine Learning
The focus of this study will be to conduct a prospective, randomized controlled trial (RCT) at Cape Regional Medical Center (CRMC), Oroville Hospital (OH), and UCSF Medical Center (UCSF) in which a Gram type infection-specific…
- Conditions
- Sepsis, Severe Sepsis, Septic Shock
- Trial name
- NCT03734484
- Testing
- InSight
- Volunteers
- healthy volunteers welcome
- Sponsor
- Dascena
Sepsis, Acute Infection
A Multicenter Prospective Observational Study to Derive and Verify the Performance of a Host-response Based Diagnostic Tool for Early Detection of Severe Infections.
The study is a multi-center, prospective, observational clinical study enrolling patients from at least 3 medical centers. Study population will include patients over the age of 18 years.
- Trial name
- NCT06665542
- Where
- 8 sites in United States, Israel
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- MeMed Diagnostics Ltd.
Sepsis, Severe Sepsis
Subpopulation-Specific Sepsis Identification Using Machine Learning
The focus of this study will be to conduct a prospective, randomized controlled trial (RCT) at Cape Regional Medical Center (CRMC), Oroville Hospital (OH), and UCSF Medical Center (UCSF) in which a subpopulation-optimized…
- Conditions
- Sepsis, Severe Sepsis, Septic Shock
- Trial name
- NCT03644940
- Testing
- CustomSight
- Volunteers
- healthy volunteers welcome
- Sponsor
- Dascena
Sepsis, Severe Sepsis
The Utility of Ischemia Modified Albumin (IMA) in Sepsis
The purpose of this study is to determine if levels of ischemia modified albumin (IMA) in blood are elevated in patients with suspected infection and are predictive of severity of illness in patients with sepsis.
- Conditions
- Sepsis, Severe Sepsis, Systemic Inflammatory Response Syndrome, Sepsis Syndrome
- Trial name
- NCT00448968
- Where
- 3 sites in United States
- Volunteers
- 150 people, healthy volunteers welcome
- Sponsor
- Inverness Medical Innovations