Using Pharmacokinetic Modeling and Electronic Health Record Data to Predict Clinical and Safety Outcomes after Methylprednisolone Exposure during Cardiopulmonary Bypass in Neonates.

Foote, Henry P; Wu, Huali; Balevic, Stephen J; Thompson, Elizabeth J; Hill, Kevin D; Graham, Eric M; Hornik, Christoph P; Kumar, Karan R

Foote, Henry P; Wu, Huali; Balevic, Stephen J; Thompson, Elizabeth J; Hill, Kevin D; Graham, Eric M; Hornik, Christoph P; Kumar, Karan R.

Afiliación

Foote HP; Department of Pediatrics, Duke University, Durham, USA.
Wu H; Duke Clinical Research Institute, Durham, USA.
Balevic SJ; Department of Pediatrics, Duke University, Durham, USA.
Thompson EJ; Duke Clinical Research Institute, Durham, USA.
Hill KD; Department of Pediatrics, Duke University, Durham, USA.
Graham EM; Duke Clinical Research Institute, Durham, USA.
Hornik CP; Department of Pediatrics, Duke University, Durham, USA.
Kumar KR; Duke Clinical Research Institute, Durham, USA.

Congenit Heart Dis ; 18(3): 295-313, 2023.

Article en En | MEDLINE | ID: mdl-37484782

Palabras clave

Neonates; cardiopulmonary bypass; methylprednisolone exposure

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Congenit Heart Dis Asunto de la revista: CARDIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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