Early Hospital Readmission (EHR) in kidney transplantation: a review article

Abstract

Early hospital readmission (EHR), defined as all readmissions within 30 days of initial hospital discharge, is a health care quality measure. It is influenced by the demographic characteristics of the population at risk, the multidisciplinary approach for hospital discharge, the access, coverage, and comprehensiveness of the health care system, and reimbursement policies. EHR is associated with higher morbidity, mortality, and increased health care costs. Monitoring EHR enables the identification of hospital and outpatient healthcare weaknesses and the implementation of corrective interventions. Among kidney transplant recipients in the USA, EHR ranges between 18 and 47%, and is associated with one-year increased mortality and graft loss. One study in Brazil showed an incidence of 19.8% of EHR. The main causes of readmission were infections and surgical and metabolic complications. Strategies to reduce early hospital readmission are therefore essential and should consider the local factors, including socio-economic conditions, epidemiology and endemic diseases, and mobility.

Modelagem das covariáveis preditivas para falência do enxerto renal até seis meses do transplante

“…History of DM is a risk factor for both secondary allograft dysfunction and hospital readmission due to infections 20 , being a strong aggravating factor in elderly recipients 8 .…”

Outcomes of early hospital readmission after kidney transplantation: Perspectives from a Canadian transplant centre

“…Kidney transplantation is widely accepted as the best treatment option for the majority of patients with end-stage renal disease[ 1 ]; however, it carries a risk of complications and subsequent hospital readmissions in the post-transplant period[ 2 ]. Early hospital readmissions (EHRs), commonly defined as any new hospitalization occurring within 30 d after initial transplant discharge, is an indicator of healthcare quality and an important outcome measure after transplantation[ 2 , 3 ]. In the United States, approximately 30% of kidney transplant recipients (KTRs) have EHR, with rates ranging from 18% to 47% between transplant centres[ 4 , 5 ].…”

“…In the United States, approximately 30% of kidney transplant recipients (KTRs) have EHR, with rates ranging from 18% to 47% between transplant centres[ 4 , 5 ]. More recently, a single-centre Brazilian study reported an EHR incidence of 27% among 1175 KTRs from 2011 to 2012[ 3 ], while a population-based Canadian study reported a cumulative EHR incidence of 21% among 5437 KTRs from 2002 to 2014[ 2 ].…”

Predicting hospital readmission risk in patients with COVID-19: A machine learning approach

“…Hospital readmission is a well-accepted metric of hospital care quality [ 1 ]. It is defined as the new hospitalization in the same hospital within a specified time between 30 and 60 days after initial hospital discharge [ [2] , [3] , [4] ]. The high readmission rates are most probably related to the quality of care delivered by hospitals and other health centers during or after the former admission [ 5 , 6 ].…”