Phenotype Algorithms for the Identification and Characterization of Vaccine-Induced Thrombotic Thrombocytopenia in Real World Data: A Multinational Network Cohort Study.

Azza ShoaibGowtham A RaoErica A VossAnna OstropoletsMiguel Angel MayerJuan Manuel Ramírez-AnguitaFilip MaljkovićBiljana CarevićScott HorbanDaniel R MoralesTalita Duarte-SallesClement FrabouletTanguy Le CarrourSpiros DenaxasVaclav PapezLuis H JohnPeter R RijneekEvan MintyThamir M AlshammariRupa MakadiaClair BlacketerFrank DeFalcoAnthony G SenaMarc A SuchardDaniel Prieto-AlhambraPatrick B Ryan

Published in: Drug safety (2022)

Our findings suggest that identifying VITT in observational data presents a substantial challenge, as implementing VITT case definitions based on the co-occurrence of TWT results in large and heterogeneous incidence rate and in a cohort of patints with baseline characteristics that are inconsistent with the VITT cases reported to date.

Keyphrases

electronic health record
big data
high glucose
risk factors
diabetic rats
deep learning
drug induced
oxidative stress
endothelial cells
artificial intelligence
network analysis