Prediction of medication non-adherence and associated outcomes in pediatric kidney transplant recipients

James Connelly1,2, N Pilch2, M Oliver2

  • 1Department of Pharmacy, The Johns Hopkins Hospital, Baltimore, MD, USA.

Insights

Predicting medication non-adherence (MNA) after pediatric kidney transplants (KTX) is crucial. Identifying at-risk patients using a predictive model can improve transplant outcomes and reduce complications like rejection and graft loss.

Area of Science:

  • Pediatric Nephrology
  • Transplant Medicine
  • Adherence Research

Background:

  • Post-transplant non-adherence is a significant issue in pediatric kidney transplant recipients.
  • Existing studies often identify risk factors but lack predictive models for medication non-adherence (MNA).

Purpose of the Study:

  • To identify key risk factors for MNA in pediatric kidney transplant (KTX) recipients.
  • To develop a predictive risk model for MNA.
  • To evaluate the impact of MNA on transplant outcomes.

Main Methods:

  • Retrospective analysis of 175 pediatric KTX recipients transplanted between 1999 and 2013.
  • Logistic regression analysis to develop a predictive model for MNA using identified risk factors.
  • Comparison of transplant outcomes (rejection, hospitalization, graft loss) between patients with and without MNA.

Main Results:

  • Risk factors for MNA included African American race, male sex, older age, urban residence, legal issues, and proximity to the transplant center.
  • A nine-factor predictive model achieved a positive predictive value of 69% and a negative predictive value of 81%.
  • MNA was associated with a >2-fold increased risk of acute rejection, 1.6-fold increased risk of hospitalization, and 1.8-fold increased risk of graft loss.

Conclusions:

  • A predictive model can effectively identify pediatric KTX recipients at risk for MNA.
  • Early identification and intervention for MNA can potentially improve long-term transplant outcomes.
  • This model offers a tool for clinicians to proactively monitor and manage MNA.

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