Appropriate Use of Blood Cultures in the Emergency Department Through Machine Learning
Appropriate Use of Blood Cultures in the Emergency Department Through Machine Learning: a Randomized Controlled Trial
Amsterdam UMC, location VUmc
7,584 participants
Feb 19, 2024
INTERVENTIONAL
Conditions
Summary
The goal of this clinical trial is to study whether the use of our blood culture prediction tool is non-inferior to current practice and if it can improve certain outcomes in all adult patients presenting to the emergency department with a clinical indication for a blood culture analysis (according to the treating physician). The primary endpoint is 30-day mortality. Key secondary outcomes are: * hospital admission rates * in-hospital mortality * hospital length-of-stay. In the intervention group, the physician will follow the advice of our blood culture prediction tool. In the comparison group all patients will undergo a blood culture analysis.
Eligibility
Inclusion Criteria3
- Age \>= 18 years
- Have a clinical indication for a blood culture analysis (according to the treating physician)
- Have sufficient data recorded (laboratory results and vital sign measurements) for a prediction to be made (at least 20% of the needed parameters)
Exclusion Criteria6
- Central Venous Line (CVL) or Peripherally Inserted Central Catheter (PICC) in situ
- Neutrophil count \< 0.5 \* 109/L
- Candidemia or S. aureus bacteraemia in the past 3 months.
- Most likely diagnosis of endocarditis/spondylodiscitis/infected prosthetic material
- Pregnant or breastfeeding patients
- Not capable of giving informed consent
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Interventions
Machine learning based predicition tool
Locations(1)
View Full Details on ClinicalTrials.gov
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NCT06163781