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Predictive modeling identifies patients at risk of early adalimumab discontinuation, suggesting timely pharmacist interventions.
Predictive modeling using routinely collected specialty pharmacy data can identify patients with RA at risk of early adalimumab discontinuation. In particular, the Elastic Net regularized logistic regression model offered high discriminative performance and may support pharmacist-led follow-up and timely interventions to reduce medication waste and improve patient outcomes.
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Yoon et al. (2026) studied this question.
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