Using machine learning to improve blood culture testing in emergency departments

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This clinical trial investigates the effectiveness of a machine learning tool designed to predict the necessity of blood culture analyses in adult patients presenting to the emergency department. The study compares outcomes between patients who receive standard blood culture testing and those whose testing is guided by the prediction tool. Key outcomes include 30-day mortality, hospital admission rates, in-hospital mortality, and length of hospital stay. The goal is to determine if the tool can reduce unnecessary blood cultures while maintaining patient safety.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* 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 Criteria:

* 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

Where it's running

• Amsterdam UMC - location AMC
  Amsterdam, Netherlands Recruiting

Study contacts

• Study coordinator: Prabath WB Nanayakkara, MD, PhD
• Email: p.nanayakkara@amsterdamumc.nl
• Phone: +31204444444

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.