A Safe Anti-A2 Titer for a Successful A2 Incompatible Kidney Transplantation: A Single-center Experience and Review of the Literature.

BACKGROUND: Kidney allocation system allows blood type B candidates accept kidneys from A2/A2B donors. There is no mandate by UNOS on which the anti-A2 level is acceptable. We aimed to investigate the safety of kidney transplant in blood group B patients with anti-A2 titers ≤16. METHODS: We performed 41 A2-incompatible kidney transplants in blood group B recipients between May 2015 and September 2019. Clinical outcomes were compared with a control group of 75 blood group B recipients who received blood group compatible kidney transplantation at the same period. RESULTS: Of the 41 recipients, 85% were male, 48% African American, with a median age of 53 (20-73) y. Thirty-eight (93%) were deceased-donor and 3 (7%) were living-donor kidney transplant recipients. Pretransplant anti-A2 IgG titers were 2 in 16, 4 in 9, 8 in 6, and 16 in 5 and too weak to titer in 5 recipients. Eight patients had pretransplant donor-specific antibodies. During a median follow-up of 32.6 mo (6-57.3) patient and graft survival were 100% and 92% in the A2-incompatible kidney transplant group, and 91% and 92% in the blood group compatible group, respectively. Twelve A2-incompatible recipients underwent a 21 clinically indicated kidney biopsies at a median 28 d (6-390) after transplantation. None of the patients developed acute antibody-mediated rejection and 2 patients (5%) had acute T-cell-mediated rejection. Interestingly, peritubular capillary C4d positivity was seen in 7 biopsies which did not have any findings of acute rejection or microvascular inflammation but not in any of the rejection-free biopsies in the control group. C4d positivity was persistent in 5 of those patients who had follow-up biopsies. CONCLUSIONS: A2-incompatible transplantation is safe in patients with anti-A2 titers ≤16 with excellent short-term kidney allograft outcomes. C4d positivity is frequent in allograft biopsies without acute rejection.

High terminal creatinine donors should not preclude simultaneous kidney and pancreas transplantation.

BACKGROUND: Simultaneous pancreas and kidney transplantation (SPK) in the setting of end-stage renal disease offers unmatched outcomes in insulin dependent diabetic patients. Donor pool expansion through the transplantation of kidneys with acute kidney injury (AKI) is controversial. METHODS: 59 SPK transplants were classified by presence of donor AKI, defined as donor terminal creatinine ≥ 1.5x the initial creatinine or donor terminal creatinine > 4.0 mg/dL. Endpoints included graft and patient survival, delayed graft function (DGF), serum creatinine, glomerular filtration rate (GFR), Hemoglobin A1c (HbA1c) and acute rejection. RESULTS: The donor AKI group (n = 35) had significantly higher rates of DGF (38 v. 9%, p = 0.01). There was no difference in creatinine or GFR at 1, 3, 6 and 12 months. HbA1c was comparable at 3, 6 and 12 months. There was no significant difference in the percentage of patients that required anti-diabetic agents after transplant (14 v. 4%, p = 0.56). CONCLUSIONS: We observed increased rates of DGF in SPK recipients with donor AKI. However, equivalent outcomes of pancreas and kidney function in both groups were observed.

Commercial insurance delays direct-acting antiviral treatment for hepatitis C kidney transplantation into uninfected recipients.

INTRODUCTION: The advent of direct-acting antivirals (DAAs) has created an avenue for transplantation of hepatitis C virus (HCV)-infected donors into uninfected recipients (D+/R-). The donor transmission of HCV is then countered by DAA administration during the post-operative period. However, initiation of DAA treatment is ultimately dictated by insurance companies. METHODS: A retrospective chart review of 52 D+/R- kidney recipients who underwent DAA treatment post-transplant was performed. Patients were grouped according to their prescription coverage plans, managed by either commercial or government pharmacy benefit managers (PBMs). RESULTS: Thirty-nine patients had government PBMs and 13 had commercial PBMs. Demographics were similar between the two groups. All patients developed HCV viremia, but cleared the virus after treatment with DAA. Patients with government PBMs were treated earlier compared to those with commercial PBMs (11 days vs 26 days, P = .01). Longer time to DAA initiation resulted in higher peak viral loads (ß = 0.39, R2  = .15, P = .01) and longer time to HCV viral load clearance (ß = 0.41, R2  = .17, P = .01). CONCLUSIONS: D+/R- transplantation offers patients an alternative strategy to increase access. However, treatment can be profoundly delayed by a third-party payer authorization process that may be subjecting patients to unnecessary risks and worsened outcomes.

COVID-19 infection in kidney transplant recipients at the epicenter of pandemics.

We investigated the prevalence and clinical outcomes of COVID-19 in recipients of kidney transplants in the Bronx, New York, one of the epicenters of the pandemic. Between March 16 and June 2, 2020, 132 kidney transplant recipients tested positive by SARS-CoV-2 RT-PCR. From May 3 to July 29, 2020, 912 kidney transplant recipients were screened for SARS-CoV-2 IgG antibodies during routine clinic visits, of which 16.6% tested positive. Fifty-five of the 152 patients had previously tested positive by RT-PCR, while the remaining 97 did not have significant symptoms and had not been previously tested by RT-PCR. The prevalence of SARS-CoV-2 infection was 23.4% in the 975 patients tested by either RT-PCR or SARS-CoV-2 IgG. Older patients and patients with higher serum creatinine levels were more likely diagnosed by RT-PCR compared to SARS-CoV-2 IgG. Sixty-nine RT-PCR positive patients were screened for SARS-CoV-2 IgG antibodies at a median of 44 days post-diagnosis (Inter Quartile Range 31-58) and 80% were positive. Overall mortality was 20.5% but significantly higher (37.8%) in the patients who required hospitalization. Twenty-three percent of the hospitalized patients required kidney replacement therapy and 6.3% lost their allografts. In multivariable analysis, older age, receipt of deceased-donor transplantation, lack of influenza vaccination in the previous year and higher serum interleukine-6 levels were associated with mortality. Thus, 42% of patients with a kidney transplant and with COVID-19 were diagnosed on antibody testing without significant clinical symptoms; 80% of patients with positive RT-PCR developed SARS-CoV-2 IgG and mortality was high among patients requiring hospitalization.

Preoperative C-Peptide Predicts Weight Gain After Pancreas Transplantation.

BACKGROUND: Transplant recipients are susceptible to cardiovascular complications, obesity, and increased insulin resistance after transplant. Here we assess weight gain in diabetic recipients after pancreas transplantation. METHODS: This is a single-center study of 32 simultaneous pancreas and kidney and 5 pancreas after kidney transplant recipients from 2014 to 2018. Starting C-peptide levels ≤ 0.1 ng/mL were used to denote insulin nondetectability (n = 25) and C-peptide levels > 0.1 ng/mL as insulin detectability (n = 12). Hemoglobin A1c, body mass index (BMI), and weight following transplantation were assessed. RESULTS: Hemoglobin A1c at 1 year was 5.9% in the insulin nondetectable recipients and 5.6% in the insulin detectable group (P = .56). Average BMI after transplant was higher in the insulin detectable group 28.6 versus 24.4 kg/m2 (P = .03) despite no difference in starting BMIs (24.9 versus 24.0 kg/m2, P = .42). The insulin detectable group also had a larger percentage weight change from their starting weight 13.1% versus 0.9 % at 1 year (P = .02). Linear regression demonstrated that starting C-peptide was a significant predictor of weight gain posttransplant. CONCLUSIONS: Patients with elevated C-peptides at time of transplant are susceptible to rapid weight gain postoperatively. These patients may benefit from aggressive nutritional management.

The use of LCP-Tacrolimus (Envarsus XR) in simultaneous pancreas and kidney (SPK) transplant recipients.

BACKGROUND: Extended release LCP-tacrolimus (LCPT) allows once-daily dosing in transplant recipients. The improved bioavailability may be beneficial for simultaneous pancreas-kidney recipients (SPK). METHODS: This is a study of 39 SPK recipients on standard immediate-release tacrolimus (IR-TAC, n = 21) or LCPT (n = 18). Coefficient of variability (CV = 100∗standard deviation/mean) was calculated to assess drug levels. Hemoglobin A1c (HbA1c), tacrolimus and creatinine levels were measured postoperatively. RESULTS: There was no difference in tacrolimus CV in the IR-TAC and LCPT groups at 1 month or 3 months postoperatively; however, a greater difference was observed at 1 year (41.0 vs. 33.1%; p = 0.19). There were six episodes of acute rejection in the IR-TAC group compared to zero episodes in the LCPT group (p = 0.01). HbA1c was significantly higher in the IR-TAC group compared to LCPT at 3 (5.5 vs. 4.9%, p = 0.01), 6 (5.6 vs. 4.9%, p = 0.01) and 12 months (5.8 vs. 5.1%, p = 0.07). CONCLUSIONS: Significantly lower rates of rejection were observed in patients receiving LCPT. The once daily dosing may facilitate medication adherence and result in improved long-term outcomes.

Transplantation of viral-positive hepatitis C-positive kidneys into uninfected recipients offers an opportunity to increase organ access.

The advent of direct-acting antivirals (DAAs) has provided the impetus to transplant kidneys from hepatitis C virus-positive donors into uninfected recipients (D+/R-). Thirty D+/R- patients received DAA treatment. Sustained virologic response (SVR12) was defined as an undetectable viral load in 12 weeks after treatment. An age-matched cohort of uninfected donor and recipient pairs (D-/R-) transplanted during same time period was used for comparison. The median day of viral detection was postoperative day (POD) 2. The detection of viremia in D+/R- patients was 100%. The initial median viral load was 531 copies/µL (range: 10-1 × 108 copies/µL) with a median peak viral load of 3.4 × 105 copies/µL (range: 804-1.0 × 108 copies/µL). DAAs were initiated on median POD 9 (range: 5-41 days). All 30 patients had confirmed SVR12. During a median follow-up of 10 months, patient and graft survival was 100%, and acute rejection was 6.6% with no major adverse events related to DAA treatment. Delayed graft function was significantly decreased in D+/R- patients as compared to the age-matched cohort (27% vs 60%; P = .01). D+/R- transplantation offers patients an alternative strategy to increase access.

Stone characteristics on noncontrast computed tomography: establishing definitive patterns to discriminate calcium and uric acid compositions.

OBJECTIVE: To evaluate if different stone compositions can be distinguished by variations in Hounsfield unit (HU) patterns from stone core to periphery. MATERIALS AND METHODS: We retrospectively reviewed our stone registry searching for pure uric acid (UA) and calcium oxalate (CaOx) stones. Inclusion criteria comprised: pure calculi; noncontrast computed tomography before stone analysis; and stone size ≥4 mm. A single urologist reviewed all images (abdominal/bone windows). Absolute HU attenuation was measured in the center (core) and edges (periphery) of each stone. HU density (HU/size) and stone volume were calculated. Categorical variables were compared with Chi-square/Fisher exact test; continuous with analysis of variance/Student t test. Spearman's test was used correlate HU values and stone dimensions. A P <.05 was considered significant. RESULTS: Included were 47 UA and 36 CaOx stones. CaOx cohort had higher HU values for all parameters (P <.001). HU variation (core-periphery) was more homogeneous in the UA group (-25%) than in the CaOx group (-52%). Stone dimensions had a significant positive correlation with HU values in CaOx cohort. In the UA group, stone volume and periphery HU had significant positive correlation. On bone window, CaOx stones had a heterogeneous pattern with a higher attenuation core with decreasing attenuation toward the periphery; UA calculi had a more homogeneous constant frosted white cloudy appearance. CONCLUSION: Stone size does not affect HU for UA stone, but has a positive correlation with CaOx stone. UA stones can be differentiated from CaOx by evaluating variation in HU from core to periphery and by subjective evaluation of homogeneity in bone windows.

Absolute Hounsfield unit measurement on noncontrast computed tomography cannot accurately predict struvite stone composition.

BACKGROUND: The purpose of our study was to determine, in vivo, whether single-energy noncontrast computed tomography (NCCT) can accurately predict the presence/percentage of struvite stone composition. METHODS: We retrospectively searched for all patients with struvite components on stone composition analysis between January 2008 and March 2012. Inclusion criteria were NCCT prior to stone analysis and stone size ≥4 mm. A single urologist, blinded to stone composition, reviewed all NCCT to acquire stone location, dimensions, and Hounsfield unit (HU). HU density (HUD) was calculated by dividing mean HU by the stone's largest transverse diameter. Stone analysis was performed via Fourier transform infrared spectrometry. Independent sample Student's t-test and analysis of variance (ANOVA) were used to compare HU/HUD among groups. Spearman's correlation test was used to determine the correlation between HU and stone size and also HU/HUD to % of each component within the stone. Significance was considered if p<0.05. RESULTS: Fourty-four patients met the inclusion criteria. Struvite was the most prevalent component with mean percentage of 50.1%±17.7%. Mean HU and HUD were 820.2±357.9 and 67.5±54.9, respectively. Struvite component analysis revealed a nonsignificant positive correlation with HU (R=0.017; p=0.912) and negative with HUD (R=-0.20; p=0.898). Overall, 3 (6.8%) had <20% of struvite component; 11 (25%), 25 (56.8%), and 5 (11.4%) had 21% to 40%, 41% to 60%, and 61% to 80% of struvite, respectively. ANOVA revealed no difference among groups regarding HU (p=0.68) and HUD (p=0.37), with important overlaps. When comparing pure struvite stones (n=5) with other miscellaneous stones (n=39), no difference was found for HU (p=0.09) but HUD was significantly lower for pure stones (27.9±23.6 v 72.5±55.9, respectively; p=0.006). Again, significant overlaps were seen. CONCLUSIONS: Pure struvite stones have significantly lower HUD than mixed struvite stones, but overlap exists. A low HUD may increase the suspicion for a pure struvite calculus.