A Personalized Opioid Prescription Model for Predicting Postoperative Discharge Opioid Needs.

Zhang, Kevin K; Blum, Kevin M; Chu, Jacqueline J; Zewdu, Abeba; Janse, Sarah; Skoracki, Roman; Janis, Jeffrey E; Barker, Jenny C

Zhang, Kevin K; Blum, Kevin M; Chu, Jacqueline J; Zewdu, Abeba; Janse, Sarah; Skoracki, Roman; Janis, Jeffrey E; Barker, Jenny C.

Afiliación

Zhang KK; From the Department of Plastic and Reconstructive Surgery.
Blum KM; Center for Regenerative Medicine, Nationwide Children's Hospital.
Chu JJ; Department of Biomedical Engineering, The Ohio State University.
Zewdu A; From the Department of Plastic and Reconstructive Surgery.
Janse S; Plastic and Reconstructive Surgery Service, Memorial Sloan Kettering Cancer Center.
Skoracki R; From the Department of Plastic and Reconstructive Surgery.
Janis JE; Center for Biostatistics, Department of Biomedical Informatics, The Ohio State University Medical Center.
Barker JC; From the Department of Plastic and Reconstructive Surgery.

Plast Reconstr Surg ; 151(2): 450-460, 2023 02 01.

Article en En | MEDLINE | ID: mdl-36696335

Asunto(s)

Analgésicos Opioides; Alta del Paciente; Humanos; Masculino; Femenino; Analgésicos Opioides/efectos adversos; Dolor Postoperatorio/tratamiento farmacológico; Dolor Postoperatorio/inducido químicamente; Estudios Retrospectivos; Cuidados Posteriores; Pautas de la Práctica en Medicina; Identidad de Género; Prescripciones de Medicamentos

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Alta del Paciente / Analgésicos Opioides Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male Idioma: En Revista: Plast Reconstr Surg Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos

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