Elizabeth M Sonnenberg1,2,3, Jesse Y Hsu4, Peter P Reese2,4,5, David S Goldberg2,4,6, Peter L Abt1. 1. Department of Surgery, University of Pennsylvania, Philadelphia, PA. 2. Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA. 3. National Clinician Scholars Program, University of Pennsylvania, Philadelphia, PA. 4. Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA. 5. Division of Renal-Electrolyte and Hypertension, University of Pennsylvania, Philadelphia, PA. 6. Division of Gastroenterology, University of Pennsylvania, Philadelphia, PA.
Abstract
BACKGROUND: Substantial differences exist in the clinical characteristics of donors across the 58 donor service areas (DSAs). Organ procurement organization (OPO) performance metrics incorporate organs donated after circulatory determination of death (DCDD) donors but do not measure potential DCDD donors. METHODS: Using 2011-2016 United Network for Organ Sharing data, we examined the variability in DCDD donors/all deceased donors (%DCDD) across DSAs. We supplemented United Network for Organ Sharing data with CDC death records and OPO statistics to characterize underlying process and system factors that may correlate with donors and utilization. RESULTS: Among 52 184 deceased donors, the %DCDD varied widely across DSAs, with a median of 15.1% (interquartile range [9.3%, 20.9%]; range 0.0%-32.0%). The %DCDD had a modest positive correlation with 4 DSA factors: median match model for end-stage liver disease, proportion of white deaths out of total deaths, kidney center competition, and %DCDD livers by a local transplant center (all Spearman coefficients 0.289-0.464), and negative correlation with 1 factor: mean kidney waiting time (Spearman coefficient -0.388). Adjusting for correlated variables in linear regression explained 46.3% of the variability in %DCDD. CONCLUSIONS: Donor pool demographics, waitlist metrics, center competition, and DCDD utilization explain only a portion of the variability of DCDD donors. This requires further studies and policy changes to encourage consideration of all possible organ donors.
BACKGROUND: Substantial differences exist in the clinical characteristics of donors across the 58 donor service areas (DSAs). Organ procurement organization (OPO) performance metrics incorporate organs donated after circulatory determination of death (DCDD) donors but do not measure potential DCDD donors. METHODS: Using 2011-2016 United Network for Organ Sharing data, we examined the variability in DCDD donors/all deceased donors (%DCDD) across DSAs. We supplemented United Network for Organ Sharing data with CDC death records and OPO statistics to characterize underlying process and system factors that may correlate with donors and utilization. RESULTS: Among 52 184 deceased donors, the %DCDD varied widely across DSAs, with a median of 15.1% (interquartile range [9.3%, 20.9%]; range 0.0%-32.0%). The %DCDD had a modest positive correlation with 4 DSA factors: median match model for end-stage liver disease, proportion of white deaths out of total deaths, kidney center competition, and %DCDD livers by a local transplant center (all Spearman coefficients 0.289-0.464), and negative correlation with 1 factor: mean kidney waiting time (Spearman coefficient -0.388). Adjusting for correlated variables in linear regression explained 46.3% of the variability in %DCDD. CONCLUSIONS: Donor pool demographics, waitlist metrics, center competition, and DCDD utilization explain only a portion of the variability of DCDD donors. This requires further studies and policy changes to encourage consideration of all possible organ donors.
Authors: Beatriz Domínguez-Gil; Francis L Delmonico; Faissal A M Shaheen; Rafael Matesanz; Kevin O'Connor; Marina Minina; Elmi Muller; Kimberly Young; Marti Manyalich; Jeremy Chapman; Günter Kirste; Mustafa Al-Mousawi; Leen Coene; Valter Duro García; Serguei Gautier; Tomonori Hasegawa; Vivekanand Jha; Tong Kiat Kwek; Zhonghua Klaus Chen; Bernard Loty; Alessandro Nanni Costa; Howard M Nathan; Rutger Ploeg; Oleg Reznik; John D Rosendale; Annika Tibell; George Tsoulfas; Anantharaman Vathsala; Luc Noël Journal: Transpl Int Date: 2011-04 Impact factor: 3.782
Authors: Samantha E Halpern; Mariya L Samoylova; Brian I Shaw; Samuel J Kesseli; Matthew G Hartwig; Yuval A Patel; Lisa M McElroy; Andrew S Barbas Journal: Transplant Direct Date: 2021-08-06