RESUMEN
Measuring the non-pathogenic Torque Teno Virus (TTV) load allows assessing the net immunosuppressive state after kidney transplantation (KTx). Currently, it is not known how exposure to maintenance immunosuppression affects TTV load. We hypothesized that TTV load is associated with the exposure to mycophenolic acid (MPA) and tacrolimus. We performed a prospective study including 54 consecutive KTx. Blood TTV load was measured by an in-house PCR at months 1 and 3. Together with doses and trough blood levels of tacrolimus and MPA, we calculated the coefficient of variability (CV), time in therapeutic range (TTR) and concentration/dose ratio (C/D) of tacrolimus, and the MPA-area under the curve (AUC-MPA) at the third month. TTV load at the first and third month discriminated those patients at risk of developing opportunistic infections between months 1 and 3 (AUC-ROC 0.723, 95%CI 0.559-0.905, p = 0.023) and between months 3 and 6 (AUC-ROC 0.778, 95%CI 0.599-0.957, p = 0.028), respectively, but not those at risk of acute rejection. TTV load did not relate to mean tacrolimus blood level, CV, TTR, C/D and AUC-MPA. To conclude, although TTV is a useful marker of net immunosuppressive status after KTx, it is not related to exposure to maintenance immunosuppression.
RESUMEN
Tacrolimus has a narrow therapeutic margin. Maintaining tacrolimus blood levels in the appropriate range is difficult because of its intrapatient variability. In fact, greater blood level variability has been related to worse kidney graft outcome, but only measuring variability does not consider the therapeutic range goal. Determining the time in therapeutic range (TTR) using the Rosendaal method allows dose optimization by considering the adverse events associated with both supratherapeutic and subtherapeutic doses. Some previous studies in kidney and lung transplantation have shown that the measurement of TTR has been related to the subsequent graft outcome. We performed a single-center, observational study including 215 consecutive kidney transplants performed in our center. The percentage of time that the patient remained with levels above 6 ng/mL between months 3 and 12 (%TTR3-12) was calculated using the Rosendaal method. A lower %TTR3-12 was associated with a higher risk of acute rejection (area under the receiver operating characteristic curve, 0.614; 95% confidence interval [CI], 0.513-0.714; P = .018) and with a higher risk of having a 1-year glomerular filtration rate < 30 mL/min/1.73 m2 (area under the receiver operating characteristic curve, 0.676; 95% CI, 0.542-0.811; P = .014). The lowest tertile of %TTR3-12 was independently associated with a higher risk of death-censored graft loss (hazard ratio, 10.773; 95% CI, 1.315-88.264; P = .027) after adjusting by 1-year glomerular filtration rate, expanded criteria donation, and acute rejection throughout the first year. To conclude, measuring TTR after kidney transplant is an easy way to estimate the time of exposure to adequate levels of tacrolimus and relates to kidney graft outcome.
