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Impact of a pharmacist-led, mHealth-based intervention on tacrolimus trough variability in kidney transplant recipients: A report from the TRANSAFE Rx randomized controlled trial.
Fleming, James N; Gebregziabher, Mulugeta; Posadas, Aurora; Su, Zemin; McGillicuddy, John W; Taber, David J.
  • Fleming JN; Department of Surgery, Medical University of South Carolina, Charleston, SC, USA.
  • Gebregziabher M; Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.
  • Posadas A; Department of Medicine, Medical University of South Carolina, Charleston, SC, USA.
  • Su Z; Department of Medicine, Medical University of South Carolina, Charleston, SC, USA.
  • McGillicuddy JW; Department of Surgery, Medical University of South Carolina, Charleston, SC, USA.
  • Taber DJ; Department of Surgery, Medical University of South Carolina, Charleston, SC, USA.
Am J Health Syst Pharm ; 78(14): 1287-1293, 2021 07 09.
Article in English | MEDLINE | ID: covidwho-1169638
ABSTRACT

PURPOSE:

Nonadherence is a leading cause of death-censored allograft loss in kidney transplant recipients. Strong associations have tied tacrolimus intrapatient variability (IPV) to degree of nonadherence and high tacrolimus IPV to clinical endpoints such as rejection and allograft loss. Nonadherence is a dynamic, complex problem best targeted by multidimensional interventions, including mobile health (mHealth) technologies.

METHODS:

This was a secondary planned analysis of a 12-month, parallel, 2-arm, semiblind, 11 randomized controlled trial involving 136 adult kidney transplant recipients. The primary aims of the TRANSAFE Rx study were to assess the efficacy of a pharmacist-led, mHealth-based intervention in improving medication safety and health outcomes for kidney transplant recipients as compared to usual care.

RESULTS:

Patients were randomized equally to 68 patients per arm. The intervention arm demonstrated a statistically significant decrease in tacrolimus IPV over time as compared to the control arm (P = 0.0133). When analyzing a clinical goal of tacrolimus IPV of less than 30%, the 2 groups were comparable at baseline (P = 0.765), but significantly more patients in the intervention group met this criterion at month 12 (P = 0.033). In multivariable modeling, variables that independently impacted tacrolimus IPV included time, treatment effect, age, and warm ischemic time.

CONCLUSION:

This secondary planned analysis of an mHealth-based, pharmacist-led intervention demonstrated an association between the active intervention in the trial and improved tacrolimus IPV. Further prospective studies are required to confirm the mutability of tacrolimus IPV and impact of reducing tacrolimus IPV on long-term clinical outcomes.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Kidney Transplantation / Telemedicine Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Adult / Humans Language: English Journal: Am J Health Syst Pharm Journal subject: Pharmacy / Hospitals Year: 2021 Document Type: Article Affiliation country: Ajhp

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Kidney Transplantation / Telemedicine Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Adult / Humans Language: English Journal: Am J Health Syst Pharm Journal subject: Pharmacy / Hospitals Year: 2021 Document Type: Article Affiliation country: Ajhp