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Updated: Apr 14, 2026

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
Published on: April 12, 2021
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.
Abstract:
Studies have continued to evaluate risk factors associated with post-transplant non-adherence in pediatric patients. However, many of these studies fail to evaluate how risk factors can be utilized to predict MNA. The aims of this study were to (i) determine salient risk factors associated with MNA to develop an adequate predictive risk model and (ii) assess transplant outcomes based on the presence of MNA in a large, diverse cohort of pediatric KTX recipients. One hundred and seventy-five solitary pediatric KTX recipients transplanted from 1999 to 2013 were included. AA, males, older patients, those who lived in urban environments, had legal issues, and lived shorter distances from the transplant center were more likely to have MNA. Using logistic regression, a parsimonious model applying nine risk factors together was developed for predicting MNA, demonstrating a PPV of 69% and a NPV of 81%. Patients with MNA had more than twice the risk of biopsy proven acute rejection, 1.6 times the risk of hospitalization, and 1.8 times the risk of graft loss. Utilization of a predictive model to determine risk of MNA after pediatric KTX may offer clinicians the ability to efficiently and effectively monitor MNA following transplant.
Related Concept Videos
Kidney Transplant III: Nursing Management
Pharmacokinetics in Pediatric Patients: Drug Excretion
Kidney Transplant II: Surgical Procedure
Kidney Transplant I: Introduction
Drug Dosing in Renal Diseases: Dose Adjustments Based on Drug Clearance and Elimination Rate Constant
Drug Dosing in Renal Diseases: Estimation of Glomerular Filtration Rate Based on Serum Creatinine Concentration

