American journal of nephrology · 2019
The Epidemiologic Burden of Tacrolimus Variability among Kidney Transplant Recipients in the United States.
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Shah Pratik B, Ennis Jennifer L, Cunningham Patrick N, Josephson Michelle A, McGill Rita L
Аннотация
BACKGROUND: Within-patient tacrolimus level variability >30% has been shown to be a risk factor for de novo donor-specific antibody formation and death-censored graft failure among kidney transplant recipients. The burden of tacrolimus variability and the correlation between variability and subtherapeutic tacrolimus levels were examined in a large national data set.
METHODS: All tacrolimus levels drawn at LabCorp® facilities in the United States with a diagnosis code for kidney transplant between November 2011 and September 2017 were examined, excluding values that could represent new allografts. Tacrolimus variability was calculated if at least 3 levels were available. The percentage of subtherapeutic (<4.0 ng/dL) tacrolimus levels (%subT) was also calculated. Interdependence between %subT and tacrolimus variability was assessed with correlation analysis and linear regression.
RESULTS: There were 410,257 tacrolimus levels among 27,375 patients, who had 11 (interquartile range [IQR] 6-20) tacrolimus levels over a median follow-up of 26.5 (IQR 12.8-46.1) months. Median tacrolimus variability was 30.6%, and 51.6% of patients exceeded 30% variability. Median %subT was 11.1% (IQR 0-30.8%), and 34.3% of patients had no subtherapeutic levels. The correlation coefficient between tacrolimus variability and %subT was 0.253 (p< 0.001). In linear regression, tacrolimus variability increased 1.86% for each 10% increase in %subT (p < 0.001), but R-squared for this model was only 0.06.
CONCLUSION: More than half of established kidney transplant patients from a large national sample exhibited levels of tacrolimus variability that have been associated with inferior transplant outcomes. Tacrolimus variability has a weak association with subtherapeutic levels, but represents a more complicated constellation of clinical factors.
METHODS: All tacrolimus levels drawn at LabCorp® facilities in the United States with a diagnosis code for kidney transplant between November 2011 and September 2017 were examined, excluding values that could represent new allografts. Tacrolimus variability was calculated if at least 3 levels were available. The percentage of subtherapeutic (<4.0 ng/dL) tacrolimus levels (%subT) was also calculated. Interdependence between %subT and tacrolimus variability was assessed with correlation analysis and linear regression.
RESULTS: There were 410,257 tacrolimus levels among 27,375 patients, who had 11 (interquartile range [IQR] 6-20) tacrolimus levels over a median follow-up of 26.5 (IQR 12.8-46.1) months. Median tacrolimus variability was 30.6%, and 51.6% of patients exceeded 30% variability. Median %subT was 11.1% (IQR 0-30.8%), and 34.3% of patients had no subtherapeutic levels. The correlation coefficient between tacrolimus variability and %subT was 0.253 (p< 0.001). In linear regression, tacrolimus variability increased 1.86% for each 10% increase in %subT (p < 0.001), but R-squared for this model was only 0.06.
CONCLUSION: More than half of established kidney transplant patients from a large national sample exhibited levels of tacrolimus variability that have been associated with inferior transplant outcomes. Tacrolimus variability has a weak association with subtherapeutic levels, but represents a more complicated constellation of clinical factors.