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Variation in opioid prescribing patterns after abdominal transplant surgery.
Sussman, Jon; Calderon, Esteban; Ubl, Daniel S; Croome, Kristopher P; Taner, C Burcin; Heimbach, Julie K; Moss, Adyr; Habermann, Elizabeth B; Mathur, Amit K.
Afiliación
  • Sussman J; Mayo Clinic Alix School of Medicine, Rochester, Minnesota, USA.
  • Calderon E; Division of Transplant Surgery, Department of Surgery, Mayo Clinic Arizona, Phoenix, Arizona, USA.
  • Ubl DS; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, Minnesota, USA.
  • Croome KP; Department of Transplantation, Mayo Clinic Florida, Jacksonville, Florida, USA.
  • Taner CB; Department of Transplantation, Mayo Clinic Florida, Jacksonville, Florida, USA.
  • Heimbach JK; Division of Transplant Surgery, Department of Surgery, Mayo Clinic Rochester, Rochester, Minnesota, USA.
  • Moss A; Division of Transplant Surgery, Department of Surgery, Mayo Clinic Arizona, Phoenix, Arizona, USA.
  • Habermann EB; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, Minnesota, USA.
  • Mathur AK; Division of Health Care Policy & Research, Department of Health Sciences Research, Mayo Clinic Rochester, Rochester, Minnesota, USA.
Clin Transplant ; 35(10): e14439, 2021 10.
Article en En | MEDLINE | ID: mdl-34297440
ABSTRACT

BACKGROUND:

Opioids are associated with negative transplant outcomes. We sought to identify patient and center effects on over-prescribing of opioids (> 200 OME (oral morphine equivalents)). STUDY

DESIGN:

Clinical and opioid prescription data (2014-2017) were collected from three academic transplant centers for kidney (KT), liver (LT), and simultaneous liver-kidney transplant (SLK) patients. Multivariable models were used to identify predictors of opioid over-prescribing at discharge and the occurrence of refill prescriptions at 90 days.

RESULTS:

Three-thousand seven-hundred and two patients underwent transplant in the cohort (KT n = 2358, LT n = 1221, SLK n = 123). More than 80% of recipients were over-prescribed opioids at discharge (Median OME (mOME) = 300 (IQR 225-375). LT and SLK had the largest prescription size (LT mOME 338 (IQR 300-450); SLK mOME 338 (IQR 225-450) and refill rate (LT 64%, SLK 59%) (all, P < .001). Multivariable analysis indicated that transplant center was a significant predictor of opioid over-prescription after KT and LT (all, P < .001); older age (in KT) and length of stay (LOS) (in LT) were protective factors (both, P < .05). Refill occurrence was associated with initial prescription size and was reduced by older age and initial LOS (all, P < .05).

CONCLUSIONS:

The wide variation in opioid prescribing patterns has implications for transplant practice innovation, guideline development, and further study.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Dolor Postoperatorio / Analgésicos Opioides Tipo de estudio: Etiology_studies / Guideline / Observational_studies / Prognostic_studies Límite: Aged / Humans Idioma: En Revista: Clin Transplant Asunto de la revista: TRANSPLANTE Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Dolor Postoperatorio / Analgésicos Opioides Tipo de estudio: Etiology_studies / Guideline / Observational_studies / Prognostic_studies Límite: Aged / Humans Idioma: En Revista: Clin Transplant Asunto de la revista: TRANSPLANTE Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos