Abstract:Early hospital readmission (EHR) is associated with increased mortality after kidneytransplantation. This is influenced by population demographics and the comprehensiveness of the healthcare system. We investigated the incidence and risk factors associated with EHR and 1-year patient and graft survivals.
Methods:We included all recipients of kidney transplant between 2011 and 2012.We excluded recipients younger than 18 years, retransplants and who died or lost the graft during the index hospital admission.Resu… Show more
“…Longer transplant admission LOS was observed more frequently in patients with ED visits and hospitalizations. Longer hospital stay was associated with an increased risk of early hospital readmissions in a study by Tavares et al 18 This prolonged LOS could be observed in the setting of DGF and also in patients with numerous comorbidities, which may necessitate a longer transplant admission. These increased LOS transplant admissions are surrogate markers for overall patient vulnerabilities and reflect their overall comorbid condition burdens.…”
Introduction: Early emergency department and hospital re-admissions are common in renal transplant recipients, but data are lacking in unique populations. Study Aim: The purpose of this study was to identify patient risk factors for multiple acute care utilization events within the first year of renal transplantation. Design: This was a single-center, retrospective cohort study of adult renal transplant recipients between 9/2013-9/2016. Patients were compared across number of emergency department visits and by hospital re-admissions. Diagnoses were categorized. Univariate and multivariate logistic regression was used to assess risk for multiple acute care utilization events within the first 12 months post-transplant. Results: A total of 216 patients were analyzed and were on average 50.5 (SD 13.9) years old, redominantly Black (49.77%) with an average body mass index of 33.33 (9.8) and were recipients of deceased donor renal transplants (61.11%). A total of 105 (48.6%) patients visited the emergency epartment and 119 (55.1%) patients had a hospital readmission. Patients having a body mass index >35 kg/m2 did not differ across emergency department visit or hospitalization groups. Delayed graft function (OR 2.86, 95% CI 1.07-7.65) and previous renal transplant (OR 2.77, 95% CI 1.04-7.39) were significantly associated with multiple acute care utilizations. Discussion: Acute care utilization following renal transplantation was similar to previously reported experiences. Obesity did not impact use of acute care resources or patient outcomes. Strategies addressing potential preventable emergency visits and hospital re-dmissions should be promoted.
“…Longer transplant admission LOS was observed more frequently in patients with ED visits and hospitalizations. Longer hospital stay was associated with an increased risk of early hospital readmissions in a study by Tavares et al 18 This prolonged LOS could be observed in the setting of DGF and also in patients with numerous comorbidities, which may necessitate a longer transplant admission. These increased LOS transplant admissions are surrogate markers for overall patient vulnerabilities and reflect their overall comorbid condition burdens.…”
Introduction: Early emergency department and hospital re-admissions are common in renal transplant recipients, but data are lacking in unique populations. Study Aim: The purpose of this study was to identify patient risk factors for multiple acute care utilization events within the first year of renal transplantation. Design: This was a single-center, retrospective cohort study of adult renal transplant recipients between 9/2013-9/2016. Patients were compared across number of emergency department visits and by hospital re-admissions. Diagnoses were categorized. Univariate and multivariate logistic regression was used to assess risk for multiple acute care utilization events within the first 12 months post-transplant. Results: A total of 216 patients were analyzed and were on average 50.5 (SD 13.9) years old, redominantly Black (49.77%) with an average body mass index of 33.33 (9.8) and were recipients of deceased donor renal transplants (61.11%). A total of 105 (48.6%) patients visited the emergency epartment and 119 (55.1%) patients had a hospital readmission. Patients having a body mass index >35 kg/m2 did not differ across emergency department visit or hospitalization groups. Delayed graft function (OR 2.86, 95% CI 1.07-7.65) and previous renal transplant (OR 2.77, 95% CI 1.04-7.39) were significantly associated with multiple acute care utilizations. Discussion: Acute care utilization following renal transplantation was similar to previously reported experiences. Obesity did not impact use of acute care resources or patient outcomes. Strategies addressing potential preventable emergency visits and hospital re-dmissions should be promoted.
“…Early hospital readmission was the most frequently reported quality metric and was noted in 26 separate publications. 18,19,24,25,42,[44][45][46]49,51,[54][55][56][57][58][59][60][61][62][63][64][65][66][67][68][69] Patient survival was the next most frequently reported quality metric (n = 20 publications), 19,20,24,25,27,28,30,31,33,35,38,42,51,52,[71][72][73][74][75][76] followed by graft survival (n = 16 publications), 19,20,24,27,…”
More than 300 quality metrics have been reported in transplantation but many lacked details on development and selection, were poorly defined, or had inconsistent definitions. Measures have focused on safety and effectiveness with very few addressing other quality domains, such as equity and patient-centeredness. Future research will need to focus on transparent and objective metric development with proper testing, evaluation, and implementation in practice. Patients will need to be involved to ensure that transplantation quality metrics measure what is important to them.
“…Patients who experience an unplanned readmission after KT have a 50% higher mortality rate than those without an unplanned readmission [ 8 ]. Unplanned readmissions not only negatively affect a patient’s physical and mental well-being, but also increase the financial burden and limits healthcare resources [ 9 ]. Therefore, reducing the unplanned readmission rate after KT is beneficial for both the patients and institutions.…”
Section: Introductionmentioning
confidence: 99%
“…Nationally, the incidence rate of unplanned readmissions after KT within 30 days ranges from 20.6% to 45% [ [10] , [11] , [12] ], a substantially higher rate than for patients undergoing other surgeries (4%–15%) [ 13 ]. Prior studies have identified several risk factors for the 30-day readmission rate, such as recipient age, comorbid diabetes mellitus, length of stay, cytomegalovirus (CMV) serology negative, deceased kidney donation, delayed graft functioning and low glomerular filtration rate at discharge [ 9 , 14 , 15 ]. However, these studies focused on the short term [ [16] , [17] , [18] , [19] ], with a lack of long-term follow-up data.…”
Objectives
Unplanned readmissions severely affect a patient’s physical and mental well-being after kidney transplantation (KT), which is also independently associated with morbidity. A retrospective study was conducted to identify the incidence, causes and risk factors for unplanned readmission after KT among Chinese patients.
Methods
Patients who underwent KT were admitted to the organ transplant center of the Affiliated Hospital of University of Science and Technology of China (2017–2018). Medical records for these patients were obtained through the hospital information system (HIS).
Results
In 518 patients, the incidence of unplanned readmissions within 30 days (
n
= 9) was 1.74%, and 90 days (
n
= 64) was 12.35%. The one-year unplanned readmission rate was 22.59% (
n
= 122). Overall, 122 patients were readmitted because of infection, renal events, metabolic disturbances, surgical complications, etc. Hemodialysis (
OR
= 10.462, 95% CI: 1.355–80.748), peritoneal dialysis (
OR
= 8.746, 95% CI: 1.074–71.238) and length of stay (
OR
= 1.023, 95% CI: 1.006–1.040) were independent risk factors for unplanned readmissions.
Conclusion
Unplanned readmission rates increased with time after KT. Certain risk factors related to unplanned readmissions should be deeply excavated. Targeted interventions for controllable factors to alleviate the rate of unplanned readmissions should be identified.
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