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Development of donor yield models.

E E Messersmith¹, C Arrington, C Alexander

¹Arbor Research Collaborative for Health, Ann Arbor, MI, USA. emily.messersmith@arborresearch.org

American Journal of Transplantation : Official Journal of the American Society of Transplantation and the American Society of Transplant Surgeons

|August 11, 2011

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Optimizing organ donor yield requires considering donor characteristics, not just raw numbers. Models accounting for donor factors can improve organ utilization across donation service areas (DSAs).

Area of Science:

Transplantation Medicine
Organ Donation Science
Biostatistics

Background:

Increasing organ donor yield is a key goal for the transplant community.
Observed organ yield, without adjusting for donor characteristics, can be misleading.
Donation Service Areas (DSAs) have varying donor case mixes.

Purpose of the Study:

To develop and evaluate yield models that adjust for donor characteristics.
To assess the relationship between donor factors and organ yield.
To inform practices for improved organ utilization.

Main Methods:

Analysis of deceased donor registry data from the Organ Procurement and Transplantation Network/Scientific Registry of Transplant Recipients (2006-2009).
Ordinal logistic regression used for overall and kidney yields.

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Logistic regression used for heart, lung, pancreas, and liver yields.

Main Results:

Donor characteristics (demographics, history, serology) significantly relate to overall and organ-specific yields.
Developed models demonstrate potential as evaluation metrics.
Identified factors influencing the number of organs transplanted per donor.

Conclusions:

Adjusting organ yield for donor characteristics provides a more accurate evaluation.
Yield models can guide DSA-wide donor management practices.
Improved donor management can lead to enhanced organ utilization and transplantation outcomes.