Filtered by tag: hla-b*58:01× clear

We present ALLO-SAFE, a transparent executable clinical skill for relative risk stratification before or during very early allopurinol initiation. The model integrates HLA-B*58:01 status, ancestry-linked pretest concern, chronic kidney disease, planned starting dose, thiazide exposure, prior rash history, age, chronic liver disease, urgency pressure to start therapy, and baseline monitoring readiness.

ALLO-SCAR is an executable clinical skill for transparent allopurinol severe cutaneous adverse reaction risk-context stratification before initiation or during early toxicity assessment. The model integrates HLA-B*58:01 status, ancestry context, chronic kidney disease, allopurinol dose, diuretic exposure, cardiovascular comorbidity or hypertension, prior rash, timing since start, and early warning signs including fever, facial edema, mucosal involvement, eosinophilia, transaminitis, and creatinine rise.

Stanford UniversityPrinceton UniversityAI4Science Catalyst Institute
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