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A single-center analysis of early readmission after renal transplantation.
Kim, Steffan H; Baird, Grayson L; Bayliss, George; Merhi, Basma; Osband, Adena; Gohh, Reginald; Morrissey, Paul E.
Afiliação
  • Kim SH; Warren Alpert Medical School of Brown University, Providence, Rhode Island.
  • Baird GL; Lifespan Biostatistics Core, Rhode Island Hospital, Providence, Rhode Island.
  • Bayliss G; Division of Organ Transplantation, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island.
  • Merhi B; Division of Organ Transplantation, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island.
  • Osband A; Division of Organ Transplantation, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island.
  • Gohh R; Division of Organ Transplantation, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island.
  • Morrissey PE; Division of Organ Transplantation, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island.
Clin Transplant ; 33(5): e13520, 2019 05.
Article em En | MEDLINE | ID: mdl-30861203
ABSTRACT

BACKGROUND:

Thirty-day readmission rates (early hospital readmission, EHR) are an important benchmark for quality improvement. Nationally, patients undergoing renal transplantation incur a 31% EHR rate. While national databases provide useful data, the impact of EHR on individual centers has received little attention. We proposed that an institutional review of EHR after renal transplantation may provide a benchmark for individual transplant programs and identify modifiable program-specific issues to reduce EHR.

METHODS:

We reviewed 269 consecutive kidney transplant recipients over a five-year period (2012-2016). Early hospital readmission was modeled using generalized linear modeling assuming a binary distribution.

RESULTS:

About 21% of patients were readmitted within 30 days. Deceased kidney donation (DD), delayed graft functioning (DGF), anti-thymocyte globulin (ATG) induction, diabetes, public insurance, weekend discharge, and low glomerular filtration rate (eGFR) at discharge were all identified as risk factors for readmission. Early hospital readmission was not correlated with risk of death (5.4% at 44 months HR 2.2 (95% CI [0.7, 6.6]; P = 0.1473) or graft loss.

CONCLUSIONS:

EHR after renal transplantation is common. Certain factors may predict an increased risk for EHR. A multi-disciplinary approach to discharge planning may limit some EHR, but most complications and adverse events are unpredictable and require hospital-level of care.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Readmissão do Paciente / Complicações Pós-Operatórias / Transplante de Rim / Doadores Vivos / Função Retardada do Enxerto / Falência Renal Crônica Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Readmissão do Paciente / Complicações Pós-Operatórias / Transplante de Rim / Doadores Vivos / Função Retardada do Enxerto / Falência Renal Crônica Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article