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.

Comparing the Predictive Power of Preoperative Risk Assessment Tools to Best Predict Major Adverse Cardiac Events in Kidney Transplant Patients.

BACKGROUND: Patients undergoing kidney transplantation have increased risk of adverse cardiovascular events due to histories of hypertension, end-stage renal disease, and dialysis. As such, they are especially in need of accurate preoperative risk assessment. METHODS: We compared three different risk assessment models for their ability to predict major adverse cardiac events at 30 days and 1 year after transplant. These were the PORT model, the RCRI model, and the Gupta model. We used a method based on generalized U-statistics to determine statistically significant improvements in the area under the receiver operator curve (AUC), based on a common major adverse cardiac event (MACE) definition. For the top-performing model, we added new covariates into multivariable logistic regression in an attempt to create further improvement in the AUC. RESULTS: The AUCs for MACE at 30 days and 1 year were 0.645 and 0.650 (PORT), 0.633 and 0.661 (RCRI), and finally 0.489 and 0.557 (Gupta), respectively. The PORT model performed significantly better than the Gupta model at 1 year (p=0.039). When the sensitivity was set to 95%, PORT had a significantly higher specificity of 0.227 compared to RCRI's 0.071 (p=0.009) and Gupta's 0.08 (p=0.017). Our additional covariates increased the receiver operator curve from 0.664 to 0.703, but this did not reach statistical significance (p=0.278). CONCLUSIONS: Of the three calculators, PORT performed best when the sensitivity was set at a clinically relevant level. This is likely due to the unique variables the PORT model uses, which are specific to transplant patients.

Impact of the expanded criteria donor allocation system on the use of expanded criteria donor kidneys.

BACKGROUND: The U.S. Organ Procurement and Transplantation Network recently implemented a policy allocating expanded criteria donor (ECD) kidneys by waiting time alone. ECD kidneys were defined as having a risk of graft failure > or = 1.7 times that of ideal donors. ECDs include any donor > or = 60 years old and donors 50 to 59 years old with at least two of the following: terminal creatinine >1.5 mg/dL, history of hypertension, or death by cerebrovascular accident. The impact of this policy on use of ECD kidneys is assessed. METHODS: The authors compared use of ECD kidneys recovered in the 18 months immediately before and after policy implementation. Differences were tested using t test and chi2 analyses. RESULTS: There was an 18.3% increase in ECD kidney recoveries and a 15.0% increase in ECD kidney transplants in the first 18 months after policy implementation. ECD kidneys made up 22.1% of all recovered kidneys and 16.8% of all transplants, compared with 18.8% (P<0.001) and 14.5% (P<0.001), respectively, in the prior period. The discard rate was unchanged. The median relative risk (RR) for graft failure for transplanted ECD kidneys was 2.07 versus 1.99 in the prepolicy period (P=not significant); the median RR for procured ECD kidneys was unchanged at 2.16. The percentage of transplanted ECD kidneys with cold ischemia times (CIT) <12 hr increased significantly; the corresponding percentage for CIT > or = 24 hr decreased significantly. CONCLUSIONS: The recent increase in ECD kidney recoveries and transplants appears to be related to implementation of the ECD allocation system.