Literature DB >> 24447652

Sequelae of early hospital readmission after kidney transplantation.

M A McAdams-Demarco1, M E Grams, E King, N M Desai, D L Segev.   

Abstract

We recently elucidated risk factors for early hospital readmission (EHR) following kidney transplantation (KT). We now sought to quantify the independent associations between EHR and post-KT outcomes, including late hospital readmission (LHR: 1 year after EHR window), death-censored graft loss and mortality, among Medicare-primary KT recipients (2000-2005). Of 32961 KT recipients, 7.7% had at least one readmission within 3 days of discharge, 14.8% within 7 days, 22.4% within 14 days and 30.5% within 30 days of discharge after the initial KT hospitalization. KT recipients who experienced EHR within 30 days of discharge after the initial KT hospitalization were more likely to have experienced LHR (29.6% vs. 9.0%, p<0.001) and were at 3.02 times higher (95% CI: 2.82-3.23, p<0.001) risk of LHR. Additionally, EHR was associated with death-censored graft loss (deceased donor recipients hazard ratio [HR]: 1.43, 95% CI: 1.36-1.51, p<0.001 and live donor recipients HR: 1.54, 95% CI: 1.40-1.70, p<0.001) and mortality (deceased donor recipients HR: 1.50, 95% CI: 1.43-1.58, p<0.001 and live donor recipients HR: 1.45, 95% CI: 1.32-1.60, p<0.001). Thirty days posttransplant represents a high-risk window for KT recipients and the readmissions during this window are strong predictors of adverse sequelae, particularly LHRs. Efforts should be made to implement and improve systems to reduce LHR and subsequent graft loss and mortality among recipients with EHR. © Copyright 2014 The American Society of Transplantation and the American Society of Transplant Surgeons.

Entities:  

Keywords:  Death-censored graft loss; hospital readmission; hospitalization; kidney transplant; mortality

Mesh:

Year:  2014        PMID: 24447652      PMCID: PMC3998748          DOI: 10.1111/ajt.12563

Source DB:  PubMed          Journal:  Am J Transplant        ISSN: 1600-6135            Impact factor:   8.086


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