UNOS/OPTNKidney Allocation — Longevity Matching
Recipient Factors
years
Recipient age at transplant
years
Pre-transplant dialysis time
EPTS Score
Enter recipient characteristics to calculate estimated post-transplant survival percentage.
Guidelines & Evidence
Verified
Last Review: 2026-07-17
When to Use
When to Use
To estimate expected post-transplant survival in kidney transplant candidates for allocation purposes
As part of the OPTN/UNOS Kidney Allocation System (KAS) longevity matching framework
To identify candidates with the longest expected survival (lowest EPTS) for priority access to the highest-quality donor kidneys (lowest KDPI)
For transplant candidate counseling regarding expected post-transplant outcomes
To support informed shared decision-making about organ acceptance and waitlist strategy
Patient Population
Developed for and validated in adult (≥ 18 years) kidney-alone transplant candidates awaiting deceased donor transplantation in the United States. The EPTS score is calculated at the time of listing and updated when candidate characteristics change (e.g., dialysis initiation, diabetes diagnosis).
When Not to Rely on This Score Alone
Do not use in pediatric candidates (< 18 years) — EPTS is not validated in this population
Do not use for multi-organ transplant candidates (e.g., SPK, kidney-liver) — allocation is determined by separate policies
EPTS estimates group-level survival — individual outcomes may vary substantially
The score does not capture all factors affecting post-transplant survival (frailty, cardiovascular fitness, social support)
EPTS should not replace clinical judgment in individual candidate evaluation
How it Works
Calculated Variables
The EPTS score is calculated using four recipient factors derived from a Cox proportional hazards model of post-transplant survival: age at listing, dialysis duration (years), diabetes as cause of ESRD (yes/no), and prior solid organ transplant (yes/no). Each factor contributes a weighted component to produce a percentage score from 0-100.
Formula Components
01
Age: Older age at listing is associated with shorter post-transplant survival. The age effect is continuous, with each additional year contributing incrementally to the score.
02
Dialysis Duration: Longer time on dialysis before transplant is associated with worse post-transplant outcomes. The relationship is strongest in the first few years.
03
Diabetes: Diabetes as the primary cause of ESRD is independently associated with reduced post-transplant survival, reflecting the systemic impact of diabetic complications.
04
Prior Transplant: A history of prior solid organ transplant (any organ) is associated with increased immunologic risk and reduced survival, independent of other factors.
Risk Interpretation
01
EPTS ≤ 20%: Lowest EPTS (best prognosis). Candidates in the top 20% of expected post-transplant survival. Eligible for the highest-quality donor kidneys (KDPI ≤ 20%).
02
EPTS 21–50%: Moderate EPTS. Average expected post-transplant survival. Standard allocation. May benefit from modifiable risk factor optimisation.
03
EPTS 51–80%: High EPTS. Reduced expected post-transplant survival. Consider broader organ acceptance criteria.
04
EPTS > 80%: Very high EPTS. Limited expected post-transplant survival. May benefit from accepting higher-KDPI organs or considering alternative treatment strategies.
Clinical Pearls
Longevity Matching — The Key Innovation
The EPTS + KDPI longevity matching framework is the cornerstone of the 2014 OPTN Kidney Allocation System (KAS). The highest-quality kidneys (KDPI ≤ 20%) are offered first to candidates with the longest expected survival (EPTS ≤ 20%). This "top 20% to top 20%" policy was designed to maximise total graft-years from the limited deceased donor organ supply.
Limitations and Practice Points
EPTS is calculated at listing — update when clinical status changes (new dialysis start, new diabetes diagnosis)
Dialysis duration > 10 years receives maximum score — further waiting does not increase EPTS
EPTS does not incorporate frailty, socioeconomic status, or centre-specific factors known to affect post-transplant outcomes
The score reflects population-level survival; individual prognosis should be contextualised with clinical assessment
EPTS ≤ 20% does not guarantee shorter wait time — KDPI ≤ 20% kidneys are selectively allocated, but overall wait time depends on blood type, HLA sensitisation, and waiting time
EPTS vs. Other Prognostic Tools
EPTS is specifically designed for allocation policy, not for individual risk prediction. It differs from tools like the KFRE (which predicts progression to ESRD) and the HCT-CI (which predicts non-relapse mortality after stem cell transplant). EPTS answers one question: "In which quartile of expected post-transplant survival does this candidate fall?"
Next Steps
Interpreting the Result
01
EPTS ≤ 20%: Candidate qualifies for priority access to KDPI ≤ 20% kidneys. Ensure active waitlist status and up-to-date medical evaluation.
02
EPTS 21–50%: Standard listing. Candidates receive offers based on waiting time, HLA match, and CPRA. Optimise cardiovascular fitness, nutritional status, and diabetes control.
03
EPTS > 50%: Consider broader acceptance criteria. Discuss willingness to accept higher-KDPI or HCV-positive organs. Optimise dialysis adequacy and comorbidity management.
04
All candidates: Reassess EPTS at least annually or with significant clinical change. Document discussion of expected outcomes and waitlist strategy.
Net Clinical Benefit
The EPTS score must be interpreted alongside the donor KDPI. The same candidate may appropriately accept a 60% KDPI kidney while declining a 95% KDPI kidney, depending on their clinical status, dialysis access, and tolerance for waiting. Formal survival benefit modelling using the combination of EPTS and KDPI can quantify the expected gain in life-years from accepting a given organ offer.
The Evidence
Original KAS Development
New national allocation policy for deceased donor kidneys in the United States and possible effect on patient outcomes.
Israni AK et al. • J Am Soc Nephrol.. 2014;25(8):1842–1848. Describes the development and rationale for the EPTS score within the KAS framework.
View SourceEPTS Validation
A comprehensive risk quantification score for deceased donor kidneys: the kidney donor risk index.
Rao PS et al. • Transplantation.. 2009;88(2):231–236. The companion KDRI/KDPI development paper. EPTS uses similar Cox modelling methodology.
View SourceKAS Outcomes
Early changes in kidney distribution under the new allocation system.
Massie AB et al. • J Am Soc Nephrol.. 2016;27(8):2495–2501. Describes the early impact of EPTS/KDPI-based allocation on organ distribution patterns.
View SourceOrigins & History
Development of the EPTS Score
The EPTS score was developed by the Scientific Registry of Transplant Recipients (SRTR) and OPTN Kidney Transplantation Committee as part of the comprehensive redesign of the deceased donor kidney allocation system implemented in December 2014. The goal was to replace the outdated "first-come, first-served" model with a system that accounts for both medical urgency and expected post-transplant benefit — the principle of "benefit-based allocation."
Timeline
01
2005: OPTN initiates discussions on reforming kidney allocation to improve utility
02
2008: SRTR develops the KDRI/KDPI framework for donor quality assessment
03
2011: OPTN Board approves the new Kidney Allocation System (KAS) incorporating EPTS
04
2014 (Dec 4): KAS implemented in the United States — EPTS score enters clinical use
05
2016+: Multiple international programs adapt EPTS-like longevity matching (Eurotransplant, NHSBT)
Last Comprehensive Review: 2026-07-17