
pmid: 22564563
Potential deceased donor management optimization is important for organ recovery maximization. Before optimization, the current state of donor management and predictors for organ recovery require analysis.We retrospectively analyzed organ procurement activity and medical management for 2005 to 2010 potential brain death donors at Seoul National University Hospital.Of 316 contacts for potential brain-dead donors, 129 (39.7%) patients were transferred to the donor management team. Among the causes of transfer failure, issues related to proper donor management affected 33%. Expanded criteria donors were 17.9% of transferred donors. Organ recovery was successful in 111 (90.2%) donors. A total of 360 organs were recovered, corresponding to a mean of 2.92 ± 1.37 organs per donor. The absence of organ demand was an important cause of recovery failure among less transplanted organs. Brain death-related complications were identified as follows: acute kidney injury (AKI), defined by AKI network criteria, occurred in 19 (15.4%); cardiopulmonary resuscitation in 5 (3.1%); bacteremia in 12 (9.7%); thrombocytopenia in 24 (19.5%); and diabetes insipidus in 42 (34.1%). AKI was a significant independent risk factor for organ recovery failure in both the liver and kidney (odds ratio [OR] 0.147, 95% confidence interval [0.045, 0.473], P = .001; OR 0.096, 95% confidence interval [0.023, 0.392], P = .001, for kidney and liver, respectively).Both the transfer success rate and rate of organs transplanted per donor of potential deceased donors remained low in Korea. AKI during potential donor management was a risk factor for kidney and liver recovery failure.
Adult, Time Factors, Tissue and Organ Procurement, Organ Transplantation, Middle Aged, Risk Assessment, Tissue Donors, Donor Selection, Logistic Models, Outcome and Process Assessment, Health Care, Treatment Outcome, Risk Factors, Models, Organizational, Republic of Korea, Odds Ratio, Humans, Retrospective Studies
Adult, Time Factors, Tissue and Organ Procurement, Organ Transplantation, Middle Aged, Risk Assessment, Tissue Donors, Donor Selection, Logistic Models, Outcome and Process Assessment, Health Care, Treatment Outcome, Risk Factors, Models, Organizational, Republic of Korea, Odds Ratio, Humans, Retrospective Studies
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