Dataset Information

Pre-transplant Evaluation of Donor Urinary Biomarkers can Predict Reduced Graft Function After Deceased Donor Kidney Transplantation.

ABSTRACT: Several recipient biomarkers are reported to predict graft dysfunction, but these are not useful in decision making for the acceptance or allocation of deceased donor kidneys; thus, it is necessary to develop donor biomarkers predictive of graft dysfunction. To address this issue, we prospectively enrolled 94 deceased donors and their 109 recipients who underwent transplantation between 2010 and 2013 at 4 Korean transplantation centers. We investigated the predictive values of donor urinary neutrophil gelatinase-associated lipocalin (NGAL), kidney injury molecule-1 (KIM-1), and L-type fatty acid binding protein (L-FABP) for reduced graft function (RGF). We also developed a prediction model of RGF using these donor biomarkers. RGF was defined as delayed or slow graft function. Multiple logistic regression analysis was used to generate a prediction model, which was internally validated using a bootstrapping method. Multiple linear regression analysis was used to assess the association of biomarkers with 1-year graft function. Notably, donor urinary NGAL levels were associated with donor AKI (P = 0.014), and donor urinary NGAL and L-FABP were predictive for RGF, with area under the receiver-operating characteristic curves (AUROC) of 0.758 and 0.704 for NGAL and L-FABP, respectively. The best-fit model including donor urinary NGAL, L-FABP, and serum creatinine conveyed a better predictive value for RGF than donor serum creatinine alone (P = 0.02). In addition, we generated a scoring method to predict RGF based on donor urinary NGAL, L-FABP, and serum creatinine levels. Diagnostic performance of the RGF prediction score (AUROC 0.808) was significantly better than that of the DGF calculator (AUROC 0.627) and the kidney donor profile index (AUROC 0.606). Donor urinary L-FABP levels were also predictive of 1-year graft function (P = 0.005). Collectively, these findings suggest donor urinary NGAL and L-FABP to be useful biomarkers for RGF, and support the use of a new scoring system based on donor biomarkers to facilitate decision-making in acceptance and allocation of deceased donor kidneys and contribute to maximal organ utilization.

SUBMITTER: Koo TY

PROVIDER: S-EPMC4839919 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:This study evaluated the combined effect of recipient-to-donor weight and sex mismatch after deceased-donor renal transplantation in a German transplant cohort and the evolution of recipient-to-donor weight difference over a 13-year observation period. The association of absolute weight and sex difference with graft failure was explored in an outpatient cohort of deceased-donor transplant recipients who underwent kidney transplantation between 2000 and 2012. Graft failure was defined as repeated need for dialysis or death with a functioning graft. Recipient and donor sex pairings were classified as sex concordant (MDMR/FDFR) or discordant (MDFR/FDMR). These classes were further stratified into four groups according to recipient-to-donor weight mismatch ≥10 kg (recipient > donor) or <10 kg (recipient < donor). Multivariable Cox proportional hazards models were applied to evaluate the time to graft loss adjusting for donor, immunologic, surgical, organizational, and recipient predictors. Sex-concordant transplant pairings <10 kg weight difference served as the reference group. Among 826 transplant recipients, 154 developed graft failure (18.6%). Median graft survival time was 3.9 years; first quartile (0.2-1.2), second quartile (1.2-2.9), third quartile (2.9-5.8), and fourth quartile (5.8-12.4). After multivariable adjustment, the highest relative hazard for graft failure was observed for sex-discordant transplant pairings with a ≥10 kg weight difference between recipient and donor (compared to the reference group MDMR/FDFR with weight difference <10 kg, MDMR/FDFR with weight difference ≥10 kg, hazard ratio 1.86, 95% confidence interval 1.07-3.32-p = 0.029; MDFR/FDMR with weight difference <10 kg, hazard ratio 1.14, 95% confidence interval 0.78-1.68-p = 0.507, and MDFR/FDMR with weight difference ≥10 kg, hazard ratio 2.00, 95% confidence interval 1.15-3.48-p = 0.014). A recipient-to-donor weight mismatch of ≥10 kg was associated with an increased risk of graft loss or recipient death with a functioning graft. Concurrent sex discordance seemed to enhance this effect as indicated by an increase in the hazard ratio. We detected no significant tendency for increasing recipient-to-donor weight differences from 2000 to 2012.

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

Pre-transplant Evaluation of Donor Urinary Biomarkers can Predict Reduced Graft Function After Deceased Donor Kidney Transplantation.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets