Happy @ASNKidney #Kidneyweek2027 Abstract Day to all who celebrate.
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It was a lot of work. Implementing a real-time machine-learning risk score in the EHR, identifying and enrolling high-risk patients before they had SCr-based AKI, randomizing them to a structured in-person nephrology consult. Excited to see it in press. ja.ma/44Wj6hm
jamanetwork.com Early Nephrology Consult and Acute Kidney Injury in Hospitalized Patients This randomized clinical trial assesses whether a structured early nephrology consultation triggered by a machine-learning acute kidney injury (AKI) risk score in patients at high risk for AKI... Today, we set up a whole new WiFi system in the house. It went as smooth as possible. But there was a 25-min period of total blackout, no WiFi, no nothing - so today I was just like those astronauts who were out of communication on the far side of the moon. Mission accomplished!
COYS!!!!
Excited to see this work, collaboration with @UW_ICU_DataSci @uofcneph, on our deep learning recurrent neural network to predict severe AKI 2 days earlier than creatinine, published in @asnpublications. It is already implemented and validation studies are actively enrolling.
Multimodal AKI risk score accurately identifies patients who will develop Stage 2 AKI over two days earlier than serum creatinine alone. bit.ly/CJASN0695
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