CDER Used AI/ML in Kineret EUA

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CDER says it used artificial intelligence/machine learning (AI/ML) in 2022 to identify a suitable patient population for emergency use authorization of Sobi’s Kineret (anakinra), an interleukin-1 inhibitor indicated to treat Covid-19 in hospitalized adults with pneumonia requiring supplemental oxygen who are at risk of progressing to severe respiratory failure and likely to have an elevated plasma soluble urokinase plasminogen activator receptor. A CDER post says the lack of an approved test for soluble urokinase plasminogen activator receptor led the review team to use AI/ML to facilitate the identification of patients who could receive the drug under the EUA.

“The goal was to develop a scoring rule that would ensure a high proportion of patients meeting the criteria [from the SAVEMORE trial]…., CDER says. “This was the first time that CDER used AI/ML for a regulatory decision….”

The review team identified eight criteria for the clinical scoring rule, the post says. “The review team combined the predictive ability of AI/ML with appropriate validation processes to develop a method to identify the patient population who will likely benefit from anakinra treatment under this EUA,” the post says. “These findings show that identifying patients using the scoring rule can increase the probability that these patients will experience the benefits seen in the SAVEMORE trial.”

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