Long-Term Patterns of Tacrolimus Intrapatient Variability and Their Association with Kidney Transplant Outcomes

Background: Tacrolimus intra-patient variability (TacIPV) is a recognized marker of nonadherence and is associated with adverse kidney transplant (KT) outcomes. While previous studies have focused on short-term TacIPV, clinical implications of long-term TacIPV patterns are less understood. We aimed to classify TacIPV trajectories beyond one year post-transplant using machine learning and evaluate their association with long-term KT outcomes. Methods: We identified living donor KT recipients who were maintained on tacrolimus without regimen changes between 2001 and 2016 at a tertiary referral academic hospital in Korea. TacIPV was assessed in each of five post-transplant periods (6–12, 13–24, 25–36, 37–48, and 49–60 months) using variation independent of mean. Patients were clustered based on time-dependent TacIPV patterns using unsupervised machine learning. The primary outcome was a composite endpoint of late biopsy-proven acute rejection, doubling of serum creatinine, and death-censored graft failure. Cox regression models were used to assess the association between TacIPV patterns and outcomes. Results: Among 496 patients, four distinct TacIPV trajectory clusters were identified: Cluster 1 (57%) exhibited persistently low TacIPV, while Cluster 2 (22%) showed high TacIPV in early post-transplant period, followed by a decrease. Cluster 3 (16%) had initially low TacIPV, followed by a transient rise at one year, before returning to a low level thereafter. Cluster 4 (5%) maintained consistently high TacIPV throughout the follow-up. Patients in Clusters 2, 3, and 4 had higher incidence rates of composite outcome compared to Cluster 1, with rates of 7.18 (P=0.064), 9.61 (P=0.001), and 8.91 (P=0.059) / 100 person-years, respectively, versus 5.29 in Cluster 1. Risk of composite outcome was significantly higher in Clusters 2, 3, and 4 compared to Cluster 1, with adjusted hazard ratios of 1.45 (95%CI, 1.04–2.02), 1.77 (1.23–2.55), and 1.79 (1.03–3.12), respectively. Conclusion: Transient fluctuations in TacIPV beyond one year post-KT are associated with worse graft outcomes as persistently high TacIPV, which underscores critical importance of consistent medication adherence. Sustained adherence interventions coupled with continuous TacIPV monitoring through a multidisciplinary approach may improve long-term graft outcomes.

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Journal
Journal of the American Society of Nephrology
Published
2025-10-01
DOI
https://doi.org/10.1681/asn.2025vsa9pzrf
Primary Topic
Renal Transplantation Outcomes and Treatments
Type
article
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article

Long-Term Patterns of Tacrolimus Intrapatient Variability and Their Association with Kidney Transplant Outcomes

Wooseong Huh, Hye Ryoun Jang, Junseok Jeon, Yoon‐Ho Kim et al.
Journal of the American Society of Nephrology
Renal Transplantation Outcomes and Treatments
article

Long-Term Patterns of Tacrolimus Intrapatient Variability and Their Association with Kidney Transplant Outcomes

Wooseong Huh, Hye Ryoun Jang, Junseok Jeon, Yoon‐Ho Kim, Jung Eun Lee, Kyoung Ho Lee, J.B. Park
article en

Abstract

Background: Tacrolimus intra-patient variability (TacIPV) is a recognized marker of nonadherence and is associated with adverse kidney transplant (KT) outcomes. While previous studies have focused on short-term TacIPV, clinical implications of long-term TacIPV patterns are less understood. We aimed to classify TacIPV trajectories beyond one year post-transplant using machine learning and evaluate their association with long-term KT outcomes. Methods: We identified living donor KT recipients who were maintained on tacrolimus without regimen changes between 2001 and 2016 at a tertiary referral academic hospital in Korea. TacIPV was assessed in each of five post-transplant periods (6–12, 13–24, 25–36, 37–48, and 49–60 months) using variation independent of mean. Patients were clustered based on time-dependent TacIPV patterns using unsupervised machine learning. The primary outcome was a composite endpoint of late biopsy-proven acute rejection, doubling of serum creatinine, and death-censored graft failure. Cox regression models were used to assess the association between TacIPV patterns and outcomes. Results: Among 496 patients, four distinct TacIPV trajectory clusters were identified: Cluster 1 (57%) exhibited persistently low TacIPV, while Cluster 2 (22%) showed high TacIPV in early post-transplant period, followed by a decrease. Cluster 3 (16%) had initially low TacIPV, followed by a transient rise at one year, before returning to a low level thereafter. Cluster 4 (5%) maintained consistently high TacIPV throughout the follow-up. Patients in Clusters 2, 3, and 4 had higher incidence rates of composite outcome compared to Cluster 1, with rates of 7.18 (P=0.064), 9.61 (P=0.001), and 8.91 (P=0.059) / 100 person-years, respectively, versus 5.29 in Cluster 1. Risk of composite outcome was significantly higher in Clusters 2, 3, and 4 compared to Cluster 1, with adjusted hazard ratios of 1.45 (95%CI, 1.04–2.02), 1.77 (1.23–2.55), and 1.79 (1.03–3.12), respectively. Conclusion: Transient fluctuations in TacIPV beyond one year post-KT are associated with worse graft outcomes as persistently high TacIPV, which underscores critical importance of consistent medication adherence. Sustained adherence interventions coupled with continuous TacIPV monitoring through a multidisciplinary approach may improve long-term graft outcomes.

Journal of the American Society of NephrologyVol. 36(10S)
Samsung Medical Center (KR)
Openalex Percentile: Top 43%
Renal Transplantation Outcomes and Treatments
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