Program Report: Expanding the Deceased Donor Pool in Manitoba With an Age-Targeted Kidney Transplant Program
Bibliographic record
Abstract
Purpose of program: The ongoing shortage of organs for transplant combined with the highest prevalence of end-stage kidney disease (ESKD) in Canada has resulted in long wait times for a deceased donor transplant in Manitoba. Therefore, the Transplant Manitoba Adult Kidney Program has ongoing quality improvement initiatives to expand the deceased donor pool. This clinical transplant protocol describes an age-targeted program intended to increase the use of transplants with a kidney donor profile index (KDPI) >85 by allocating them to suitable pre-consented recipients age ≥65 with low wait times. The goal is to improve survival and quality of life for older recipients by maximizing a previously under-utilized donor pool. Sources of information: Scoping literature review; Transplant Manitoba deceased donor audit; and key stakeholder engagement with patient partners, inter-disciplinary health care providers, and health system leaders. Methods: The alternative donor pool criteria include deceased donor kidneys with KDPI 86-100 or another concern for graft longevity but are otherwise suitable for transplantation. Patients with no living donor, age ≥65, low wait times and otherwise eligible for transplant listing will be educated, and if suitable, pre-consented for the age-targeted program. All patients remain eligible for a standard criteria donor according to the local allocation criteria. The age-targeted program waitlist follows the same provincial allocation rules using wait time, panel reactive antibody (PRA), and human leukocyte antigen (HLA) match points for determining rank order. If an age-targeted recipient experiences early graft loss from a KDPI 86-100 kidney within 12 months from transplant, their cumulative wait time, including time with the transplant, will be reinstated upon relisting. Key findings: Transplant Manitoba's provincial allocation rules do not permit bypassing top of the list recipients for kidney offers; therefore, transplant providers were previously reluctant to utilize KDPI 86-100 donor kidneys to top of the list recipients eligible for higher quality kidneys. This age-targeted program facilitates allocation of KDPI 86-100 kidneys to suitable older pre-consented recipients with low wait times, who may obtain a survival and quality of life benefit from these transplants. This approach expands the utilized deceased donor pool to benefit all Manitobans awaiting a deceased donor kidney transplant. Limitations: This program was launched in January 2023, and there are no data reported on outcomes given the small numbers and abbreviated follow-up. Implications: The goal of this quality improvement project is to improve access to deceased donor kidney transplantation for Manitobans with ESKD. This program was developed with patient and provider feedback, including multimedia patient education materials which may be helpful for other programs. We anticipate this program is a safe and effective way to expand access to deceased donor kidney transplantation using a previously under-utilized donor pool.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".