ASN's Mission

To create a world without kidney diseases, the ASN Alliance for Kidney Health elevates care by educating and informing, driving breakthroughs and innovation, and advocating for policies that create transformative changes in kidney medicine throughout the world.

learn more

Contact ASN

1401 H St, NW, Ste 900, Washington, DC 20005

email@asn-online.org

202-640-4660

The Latest on X

Kidney Week

Abstract: SA-PO984

Outcomes of Kidney after Liver Transplantation by Induction Type, Stratified by Intertransplant Interval and Immunologic Risk

Session Information

Category: Transplantation

  • 2102 Transplantation: Clinical

Authors

  • Cojuc, Gabriel, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States
  • Canizares, Stalin, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States
  • Rivera, Maria Belen, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States
  • Chumdermpadetsuk, Ritah R., Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States
  • Sureshkumar, Kalathil K., Allegheny Health Network, Pittsburgh, Pennsylvania, United States
  • Eckhoff, Devin, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States
  • Pavlakis, Martha, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States
  • Chopra, Bhavna, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States
Background

There is no standard induction immunosuppression (IS) for kidney after liver transplants (KALT). Time from liver engraftment and immunologic risk have been hypothesized as effect modifiers for induction therapy-related outcomes. We aimed to assess outcomes in KALT according to induction type, further stratified by inter-transplant intervals and immunologic risk.

Methods

Retrospective UNOS registry cohort study. We selected KALT between 2010 and 2022 who received mycophenolate- and tacrolimus-based maintenance IS. We compared patient death, graft loss, and death-censored graft failure (DCGF) using Cox proportional hazards models in KALT according to induction type (depleting vs. non-depleting), inter-transplant intervals (<1, 1–3, >3 years), and calculated panel reactive antibody (cPRA) (<20, 20–49, 50–80, >80) adjusting for gender, age, ethnicity, steroid use, dialysis vintage, HLA mismatch, cold ischemic time, body mass index, kidney donor profile index, diabetes, and donor characteristics.

Results

We included 1640 KALT (31% female, age 58.5±11 yrs), 61% received depleting, and 39% non-depleting induction IS. There were no statistically significant differences between induction IS groups in patient death (HR 1.01, 95% CI 0.79–1.30), graft loss (0.96, 95% CI 0.76–1.22), and DCGF (HR 1.14, 95% CI 0.86–1.52). The results were consistent when stratifying into inter-transplant intervals; no differences were observed in KALT with <1, 1–3, or >3 years between transplants. Similarly, there were no differences in the outcomes categorized by cPRA (Table).

Conclusion

Induction IS therapies did not impact patient death, graft loss, and DCGF in KALT stratified by inter-transplant intervals and cPRA. The selection of induction IS should be individualized based on immunologic and infection risk.

Depleting (D) vs. non-depleting (ND) induction in KALTAdjusted patient death
HR (95% CI); p value
Adjusted graft loss
HR (95% CI); p value
Adjusted death censored graft loss
HR (95% CI); p value
All KALT
(D = 996; ND = 644)
1.01 (0.79–1.30);
0.91
0.96 (0.76–1.22); 0.751.14 (0.86–1.52);
0.37
<1 yr post LT
(D = 163; ND = 135)
0.70 (0.22–2.23);
0.55
0.49 (0.19–1.25); 0.141.09 (0.31–3.81);
0.89
1–3 yr post LT
(D = 182; ND = 138)
1.23 (0.61–2.50);
0.56
0.89 (0.46–1.71); 0.731.35 (0.54–3.37);
0.52
>3 yr post LT
(D = 651; ND = 371)
0.98 (0.74–1.30);
0.90
0.97 (0.73–1.28);
0.82
1.13 (0.81–1.55);
0.47
cPRA <20
(D = 561; ND = 459)
1.15 (0.84–1.57);
0.39
1.07 (0.79–1.43);
0.68
1.16 (0.82–1.65);
0.40
cPRA 20-49
(D = 93; ND = 63)
0.48 (0.15–1.51);
0.21
0.59 (0.18–1.88);
0.37
1.96 (0.39–9.80);
0.41
cPRA 50–80
(D = 138; ND = 66)
0.81 (0.33–1.95);
0.63
0.63 (0.27–1.48);
0.29
1.20 (0.40–3.61);
0.75
cPRA >80
(D = 204; ND = 56)
0.59 (0.28–1.25);
0.17
0.64 (0.30–1.33);
0.23
0.91 (0.34–2.46);
0.85