Format

Send to

Choose Destination

See 1 citation found by title matching your search:

Transplantation. 2018 Aug;102(8):1323-1329. doi: 10.1097/TP.0000000000002111.

Predicting Expected Organ Donor Numbers in Australian Hospitals Outside of the Donate-Life Network Using the ANZICS Adult Patient Database.

Author information

1
Department of Intensive Care Medicine, The Alfred Hospital, Commercial Road, Prahran, VIC, Australia.
2
Department of Intensive Care Medicine, St Vincent's Hospital, Victoria Parade, Fitzroy, VIC, Australia.
3
The Australian and New Zealand Intensive Care Society (ANZICS) Centre for Outcome and Resource Evaluation (CORE), Ievers Terrace, Carlton, VIC, Australia.
4
The Australian and New Zealand Organ Donation Registry, Adelaide, SA, Australia.
5
The Australian Organ and Tissue Authority, London Circuit Canberra, ACT, Australia.
6
Department of Intensive Care Medicine, The Austin Hospital, Heidelberg, VIC, Australia.
7
The Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, VIC, Australia.

Abstract

BACKGROUND:

The majority of organ donations in Australia occur in the DonateLife Network of hospitals, but limited monitoring at other sites may allow donation opportunities to be missed. Our aim was to estimate expected donor numbers using routinely collected data from the Australian and New Zealand Intensive Care Society Adult Patient Database and determine whether unrecognized potential donors might exist in non-DonateLife hospitals.

METHODS:

All deaths at 150 Australian intensive care units (ICUs) contributing to the Australian and New Zealand Intensive Care Society Adult Patient Database were analyzed between January 2010 and December 2015. Donor numbers were extracted from the Australian and New Zealand Organ Donor registry. A univariate linear regression model was developed to estimate expected donor numbers in DonateLife hospitals, then applied to non-DonateLife hospitals.

RESULTS:

Of 33 614 deaths at 71 DonateLife hospitals, 6835 (20%) met criteria as "ICU deaths potentially suitable to be donors," and 1992 (6%) were actual donors. There was a consistent relationship between these groups (R = 0.626, P < 0.001) allowing the development of a prediction model which adequately estimated expected donors. Of 8077 deaths in 79 non-DonateLife ICUs, 452 (6%) met criteria as potentially suitable donors. Applying the prediction model developed in DonateLife hospitals, the estimated expected donors in non-DonateLife hospitals was 130. However, there were only 75 actual donors.

CONCLUSIONS:

It is possible to estimate the expected number of Australian organ donors using routinely collected registry data. These findings suggest that there may be a small but significant pool of underutilized potential donors in non-DonateLife hospitals. This may provide an opportunity to increase donation rates.

PMID:
29470348
PMCID:
PMC6072376
DOI:
10.1097/TP.0000000000002111
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Wolters Kluwer Icon for PubMed Central
Loading ...
Support Center