Dataset Information

The association of discharge decisions after deceased donor kidney transplantation with the risk of early readmission: Results from the deceased donor study.

ABSTRACT:

Background

Kidney transplant (KT) recipients experience high rates of early (≤30 days) hospital readmission (EHR) after KT, and existing studies provide limited data on modifiable discharge factors that may mitigate EHR risk.

Methods

We performed a retrospective cohort study of 468 adult deceased donor KT recipients transplanted between 4/2010 and 11/2013 at 5 United States transplant centers. We fit multivariable mixed effects models to assess the association of two potentially modifiable discharge factors with the probability of EHR after KT: (i) weekend discharge and (ii) days to first scheduled follow-up.

Results

Among 468 KT recipients, 38% (n = 178) experienced EHR after KT. In fully adjusted analyses, compared to weekday discharges, KT recipients discharged on the weekend had a 29% lower risk of EHR (adjusted odds ratio [aOR] 0.71, 95% confidence interval [CI] 0.41-0.94). Compared to follow-up within 2 days of discharge, KT recipients with follow-up within 3 to 6 days had a 28% higher probability of EHR (aOR 1.28, 95% CI 1.13-1.45).

Conclusions

These findings suggest that clinical decisions related to the timing of discharge and follow-up modify EHR risk after KT, independent of traditional risk factors.

SUBMITTER: Harhay MN

PROVIDER: S-EPMC5924427 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

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Publications

The association of discharge decisions after deceased donor kidney transplantation with the risk of early readmission: Results from the deceased donor study.

Harhay Meera Nair MN Jia Yaqi Y Thiessen-Philbrook Heather H Besharatian Behdad B Gumber Ramnika R Weng Francis L FL Hall Isaac E IE Doshi Mona M Schroppel Bernd B Parikh Chirag R CR Reese Peter P PP

Clinical transplantation 20180303 4

<h4>Background</h4>Kidney transplant (KT) recipients experience high rates of early (≤30 days) hospital readmission (EHR) after KT, and existing studies provide limited data on modifiable discharge factors that may mitigate EHR risk.<h4>Methods</h4>We performed a retrospective cohort study of 468 adult deceased donor KT recipients transplanted between 4/2010 and 11/2013 at 5 United States transplant centers. We fit multivariable mixed effects models to assess the association of two potentially m ...[more]

PMID: 29393541

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Project description:Rationale & objectiveThere is debate on whether weight loss, a hallmark of frailty, signals higher risk for adverse outcomes among recipients of deceased donor kidney transplantation (DDKT).Study designRetrospective cohort study.Setting & participantsUsing national Organ Procurement and Transplantation Network data, we included all DDKT recipients in the United States between December 4, 2004, and December 3, 2014, who were adults (aged ≥ 18 years) when listed for DDKT.ExposuresRelative pre-DDKT weight change as a continuous predictor and categorized as <5% weight change from listing to DDKT, ≥5% to <10% weight loss, ≥10% weight loss, ≥5% to <10% weight gain, and ≥10% weight gain.OutcomesWe examined 3 post-DDKT outcomes: (1) transplant hospitalization length of stay (LOS) in days, (2) all-cause graft failure, and (3) mortality.Analytic approachUnadjusted fractional polynomial methods, multivariable log-gamma models, and multivariable Cox proportional hazards models.ResultsAmong 94,465 recipients of DDKT, median pre-DDKT weight change was 0 (interquartile range, -3.5 to +3.9) kg. There were nonlinear unadjusted associations between relative pre-DDKT weight loss and longer transplant hospitalization LOS, higher all-cause graft loss, and higher mortality. Compared with recipients with <5% pre-DDKT weight change (n = 49,366; 52%), recipients who lost ≥10% of their listing weight (n = 10,614; 11%) had 0.66 (95% CI, 0.23-1.09) days longer average transplant hospitalization LOS (P = 0.003), 1.11-fold higher graft loss (adjusted HR [aHR], 1.11; 95% CI, 1.06-1.17; P < 0.001), and 1.18-fold higher mortality (aHR, 1.18; 95% CI, 1.11-1.25; P < 0.001) independent of recipient, donor, and transplant factors. Pre-DDKT dialysis exposure, listing body mass index category, and waiting time modified the association of pre-DDKT weight change with hospital LOS (interaction P < 0.10), but not with all-cause graft loss and mortality.LimitationsUnmeasured confounders and inability to identify volitional weight change. Also, the higher significance level set to increase the power of detecting interactions with the fixed sample size may have resulted in increased risk for type 1 error.ConclusionsDDKT recipients with ≥10% pre-DDKT weight loss are at increased risk for adverse outcomes and may benefit from augmented support post-DDKT.

Project description:IntroductionThe impact of deceased donor characteristics on kidney transplant outcomes is controversial. Correspondingly, the predictive performance of deceased donor scores remains moderate, and many transplant centers lack validated criteria for graft acceptance decisions. To better dissect donor-related risk from recipient and periprocedural variables, we analyzed outcomes of kidney donor pairs transplanted in different individuals.MethodsThis study explored (a)symmetry of early outcomes of 328 cadaveric kidney transplant recipients from 164 donor pairs transplanted at three Eurotransplant centers. The primary discriminatory factor was (a)symmetry of partner graft function, defined as early graft loss or impaired graft function [estimated glomerular filtration rate (eGFR) <30 mL/min] 3 months after transplantation. We reasoned that a relevant impact of donor factors would result in a high concordance rate of limited graft function or failure.ResultsThe observed number of symmetric graft failure after transplantation was less than statistically expected (3 months: 1 versus 2, p = 0.89; and 12 months: 3 versus 5, p = 0.26). However, we found a trend toward an impaired 5-year graft survival of grafts with good function 3 months after transplantation but a failed or impaired partner graft compared to symmetrically well-functioning grafts (p = 0.09). Subsequently, we explored the impact of individual donor and recipient variables on early transplant outcomes. Generalized estimating equations after feature selection with LassoGEE bootstrap selected donor age, donor body mass index, and donor eGFR as the relevant risk factors.DiscussionOur findings indicate that donor factors impact early outcomes in kidney transplantation but may have a limited role in long-term graft survival, once a graft has been accepted for transplantation. Utilizing donor-based clinical scores has the potential to aid clinicians in acceptance decisions, giving them an estimate of individual posttransplant outcomes. However, the ultimate decision for acceptance should rest with clinicians, who must consider the complex interplay of donor factors, as well as recipient and periprocedural characteristics.

Project description:Socioeconomically deprived individuals with renal disease are less likely to receive a live-donor kidney transplant than less-deprived individuals. This qualitative study aimed to identify reasons for the observed socioeconomic disparity in live-donor kidney transplantation.A qualitative study using face-to-face in-depth semistructured interviews.A UK tertiary renal referral hospital and transplant centre.Purposive sampling was used to select deceased-donor transplant recipients from areas of high socioeconomic deprivation (SED) (19 participants), followed by a low SED comparison group (13 participants), aiming for maximum diversity in terms of age, gender, ethnicity, primary renal disease and previous renal replacement therapy.Participants were interviewed following their routine transplant clinic review. Interviews were digitally audio-recorded and transcribed verbatim. Transcripts were coded using NVivo software and analysed using the constant comparison method described in Grounded Theory.Themes common and distinct to each socioeconomic group emerged. 6 themes appeared to distinguish between individuals from areas of high and low SED. 4 themes were distinct to participants from areas of high SED: (1) Passivity, (2) Disempowerment, (3) Lack of social support and (4) Short-term focus. 2 themes were distinct to the low SED group: (1) Financial concerns and (2) Location of donor.Several of the emerging themes from the high SED individuals relate to an individual's lack of confidence and skill in managing their health and healthcare; themes that are in keeping with low levels of patient activation. Inadequate empowerment of socioeconomically deprived individuals by healthcare practitioners was also described. Financial concerns did not emerge as a barrier from interviews with the high SED group. Interventions aiming to redress the observed socioeconomic inequity should be targeted at both patients and clinical teams to increase empowerment and ensure shared decision-making.

Dataset Information

The association of discharge decisions after deceased donor kidney transplantation with the risk of early readmission: Results from the deceased donor study.

Background

Methods

Results

Conclusions

Publications

The association of discharge decisions after deceased donor kidney transplantation with the risk of early readmission: Results from the deceased donor study.

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