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Individualized Treatment Effects of Bougie vs Stylet for Tracheal Intubation in Critical Illness.

Kevin P SeitzAlexandra B SpicerJonathan Dale CaseyKevin G BuellEdward T QianEmma J Graham LinckBrian E DriverWesley H SelfAdit A GindeStacy A TrentSheetal GandotraLane M SmithDavid B PageDerek J VonderhaarJason R WestAaron M JoffeKevin C DoerschugChristopher G HughesMicah R WhitsonMatthew E PrekkerTodd W RicePratik SinhaMatthew W SemlerMatthew M Churpek
Published in: American journal of respiratory and critical care medicine (2023)
In this hypothesis-generating secondary analysis of a randomized trial with no average treatment effect and no treatment effect in any prespecified subgroups, a causal forest machine learning algorithm identified patients who appeared to benefit from use of a bougie over a stylet and from use of a stylet over a bougie using complex interactions between baseline patient and operator characteristics.
Keyphrases
  • machine learning
  • cardiac arrest
  • deep learning
  • case report
  • replacement therapy
  • smoking cessation