Correlation and Prediction of Living-Donor Remaining Function by Using Predonation Computed Tomography-Based Volumetric Measurements: Role of Remaining Kidney Volume.

OBJECTIVES: Kidney volume in healthy living donors may serve as a surrogate marker of renal function. Here, we evaluated whether preserved kidney volume correlated with and could predict donor renal function at 2 years postdonation using the CKD-EPI estimated glomerular filtration rate equation. MATERIALS AND METHODS: Healthy living donors (n = 208) with computed tomography volume measurements were evaluated for renal function before and after donation. Preserved kidney volume was adjusted to body surface area. Demographic characteristics (including race/ethnicity and sex) and renal function variables of donors were analyzed for postdonation renal function. RESULTS: Donor mean age was 39.4 ± 10.7 years (36.2% males, 91.9% white). Median adjusted preserved kidney volume was 180.6 mL. At 2 years postdonation, median estimated glomerular filtration rate was 62.4 mL/min (interquartile range, 54.8-73.2 mL/min). Predonation estimated glomerular filtration rate, age, and adjusted preserved kidney volume were found to be inde-pendent predictors of 2-year estimated glomerular filtration rate (P < .001). We further analyzed data by stratifying preserved kidney volumes into tertiles. Mean 2-year estimated glomerular filtration rates were 57.9 ± 12, 65 ± 16, and 73 ± 17 mL/min for lowest to highest tertile groups, respectively (P < .05). The odds ratio of having a 2-year postdonation estimated glomerular filtration rate of < 60 mL/min for donors in the lowest tertile group was 3.51 (95% confidence interval, 1.9-6.4; P < .001), whereas the risk for donors in the highest tertile group was 0.23 (95% confidence interval, 0.12-0.44; P< .001). Sensitivity analysis result was 0.764 (95% confidence interval, 0.69-0.82; P = .005) for adjusted preserved kidney volume and estimated glomerular filtration rate of < 60 mL/min. CONCLUSIONS: Remaining kidney volume before donation correlated with and predicted estimated glomerular filtration rate after donation. Remaining kidney volume should be assessed when selecting kidneys from healthy donors.

Kidney allograft survival outcomes in combined intestinal-kidney transplant: An analysis of the UNOS/OPTN database 2000-2014.

BACKGROUND AND OBJECTIVES: Intestinal transplants carry a high morbidity/mortality. Kidney allograft outcomes after combined intestinal (IT) with kidney transplant (CIKT) remain largely uninvestigated. MATERIALS AND METHODS: The UNOS STAR database was queried to identify all such combined organ transplants from 2000 to 2015. RESULTS: Out of a total 2215 (51.4% peds vs 48.6% adults) intestinal transplants, 111 (5.0%) CIKT were identified (32.4% peds vs 67.6% adults). Over the study period of CIKT, a total of 45.9% of these cases died with a functioning kidney graft. DGF rate was 9.0%. The 1-year reported kidney acute rejection rate was 6.3%. For the entire CIKT population over the entire study era, the 1-, 3-, and 5-year unadjusted kidney graft survival was 57%, 39%, and 34%, while death-censored kidney graft survival was 93%, 90%, and 86%, respectively. Overall conditional 5-year kidney graft survival (defined as 1-year kidney graft survival) was 58%. Overall, patient survival was significantly lower in recipients of CIKT compared to intestinal transplant (IT) (P < .005); However, the 5-year conditional (1 year kidney graft) patient survival in adults was not significantly different between IT and CIKT overall (P = .194). CONCLUSIONS: Kidney allograft survival is primarily dependent on 1-year patient survival. Guidelines regarding allocation of kidney allografts in CIKT need to take into consideration utility and urgency.

Isolated pancreas rejections do not have an adverse impact on kidney graft survival whereas kidney rejections are associated with adverse pancreas graft survival in simultaneous pancreas kidney transplantation.

BACKGROUND AND OBJECTIVES: Diabetic Kidney Disease is associated with excessive mortality and morbidity. Simultaneous pancreas kidney transplantation (SPK) significantly improves quality of life and increases life expectancy of uremic diabetic patients. It is not known whether pancreas and kidney rejections in these transplant patients is concordant or discordant. DESIGN, SETTING, PARTICIPANTS, AND MEASUREMENTS: We analyzed clinical data on all SPK transplants performed between 2003 and 2014 at Indiana University to assess the impact of isolated or combined pancreas and kidney rejections on patient and allograft outcomes. The primary outcome of interest was kidney graft rejection within 1 year of pancreatic rejection and kidney survival in SPK patients with and without pancreatic rejection. RESULTS: Mean age of patients was 44 ± 9 years; 61.9% were males; 88% were Caucasians. A total of 23.8% of cases had rejection [8.7% pancreatic rejection alone (PA), 4.4% had concordant pancreas and kidney (PK) rejection, and 10.7% had kidney rejection alone(KA)]. PK had a worse effect on kidney graft survival than PA (p = 0.019). Neither pancreas rejection nor kidney rejection had an adverse effect on patient survival. However, both pancreas graft failure and kidney graft failure adversely affected patient survival. Tacrolimus levels were not significantly different in all groups over a 10 year period (p = 0.4584). CONCLUSIONS: Concordant pancreas kidney rejection is synergistically deleterious to kidney graft survival. Graft failure, not graft rejection, is adversely associated with patient survival.

The effectiveness of the combination of rituximab and high-dose immunoglobulin in the immunomodulation of sensitized kidney transplant candidates.

Kidney transplantation faces many challenges not the least of which is the presence of pre-formed HLA antibodies. At our institution, we have used a combination of methods to immunomodulate sensitized patients. Most recently, this has been attempted with a combination of immunoglobulin (IVIG) and rituximab (Rituxan; Genetech, CA, USA). A total of 31 patients were followed for up to one yr following treatment with IVIG (2 gm/kg on day 1 and day 30) and rituximab (1 g - day 15). Antibody levels were followed serially at designated time points via solid-phase single-antigen beads (SAB) method (One Lambda, Inc., Canoga Park, CA, USA). Concentration of antibodies was based on median fluorescence intensity (MFI). The majority of patients had both class I and class II antibodies (79%). Our results showed that this protocol appeared to be patient and antibody specific. The most pronounced MFI reduction in antibodies occurred within the 30- to 100-d period post-treatment. Calculated panel-reactive antibodies decreased but rebound tended to occur by 104 d after antibody MFI nadir. Because of this rebound, it can be inferred that the patients did not show a durable increase in their potential for transplantation. The search for a more effective method to immunomodulate patients continues.