RECRUITINGINTERVENTIONAL
Kawasaki MATCH Trial
Kawasaki MATCH: A Clinical Decision Support Tool to Detect KD
About This Trial
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.
Who May Be Eligible (Plain English)
Who May Qualify:
- 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
Who Should NOT Join This Trial:
- Congenital or Acquired Immune function
- Genetic disorders
- Current systemic steroid, immunosuppression, or chemotherapy treatment (not including inhaled steroids)
Always talk to your doctor about whether this trial is right for you.
Original Eligibility Criteria
View original clinical language
Inclusion Criteria:
* 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
Exclusion Criteria:
* Congenital or Acquired Immune function
* Genetic disorders
* Current systemic steroid, immunosuppression, or chemotherapy treatment (not including inhaled steroids)
Treatments Being Tested
OTHER
Kawasaki MATCH
Providers access the Kawasaki MATCH decision support tool. Patient information is entered into the tool and a risk score is indicated to the provider. Kawasaki MATCH is a previously validated machine-learning decision support tool for the diagnosis of Kawasaki Disease. This tool utilizes patient age, 18 laboratory features, and 5 clinical features to formulate a risk score.
Locations (1)
Rady Children's Hospital, San Diego
San Diego, California, United States