Kawasaki MATCH Trial

a study on Kawasaki Disease

Summary

Eligibility
for people ages up to 17 years (full criteria)
Location
at UCSD
Dates
study started
study ends around
Principal Investigator
by Michael Gardiner (ucsd)
Headshot of Michael Gardiner
Michael Gardiner

Description

Summary

Evaluating the impact of a machine-learning clinical decision support tool on provider practice when evaluating febrile patients with Kawasaki Disease (KD) and non-KD illnesses.

Official Title

Kawasaki MATCH: A Clinical Decision Support Tool to Detect KD

Details

Following laboratory evaluation, providers will be randomized to treat patients according to usual practice/standard of care vs. receiving clinical decision support from the Kawasaki MATCH tool - a previously validated machine-learning clinical decision support tool to identify Kawasaki Disease. The study aim is to evaluate the accuracy of Kawasaki MATCH prospectively when used at the point of care, as well as how this tool impacts clinical decisions including additional evaluation and hospital admission.

Keywords

Kawasaki Disease, Machine-learning, Artificial Intelligence (AI), Decision support, Point-of-care, Mucocutaneous Lymph Node Syndrome, Kawasaki MATCH

Eligibility

You can join if…

Open to people ages up to 17 years

  • Measured or subjective fever for >= 3 calendar days
  • One measured fever >= 38.0 C (home or in ED)
  • One or more clinical feature of Kawasaki Disease including:
  • Rash
  • Conjunctival injection
  • Oropharyngeal changes
  • Extremity changes (erythema, edema, desquamation)
  • Cervical adenopathy (>=1.5cm)
  • Infants < 6 months of age with >= 7 days of fever eligible even if none of the above clinical features
  • Requires IV/phlebotomy for clinical evaluation

You CAN'T join if...

  • Congenital or Acquired Immune function
  • Genetic disorders
  • Current systemic steroid, immunosuppression, or chemotherapy treatment (not including inhaled steroids)

Location

  • Rady Children's Hospital, San Diego accepting new patients
    San Diego California 92071 United States

Lead Scientist at University of California Health

  • Michael Gardiner (ucsd)
    Associate Clinical Professor with appointment at Rady Children's Hospital in the Pediatric Emergency Department. Associate Division Chief for Research in the division of Pediatric Emergency Medicine. Clinical researcher with a focus on the development and validation of Artificial Intelligence (AI) clinical decision support tools and the implementation of AI at the bedside.

Details

Status
accepting new patients
Start Date
Completion Date
(estimated)
Sponsor
University of California, San Diego
ID
NCT07291245
Study Type
Interventional
Participants
Expecting 200 study participants
Last Updated
Contact us about this trial