Lost potential of kidney and liver donors amongst deceased intracerebral hemorrhage patients

Automated screening of potential organ donors using a temporal machine learning model

Organ donation is not meeting demand, and yet 30-60% of potential donors are potentially not identified. Current systems rely on manual identification and referral to an Organ Donation Organization (ODO). We hypothesized that developing an automated screening system based on machine learning could reduce the proportion of missed potentially eligible organ donors. Using routine clinical data and laboratory time-series, we retrospectively developed and tested a neural network model to automatically identify potential organ donors. We first trained a convolutive autoencoder that learned from the longitudinal changes of over 100 types of laboratory results. We then added a deep neural network classifier. This model was compared to a simpler logistic regression model. We observed an AUROC of 0.966 (CI 0.949-0.981) for the neural network and 0.940 (0.908-0.969) for the logistic regression model. At a prespecified cutoff, sensitivity and specificity were similar between both models at 84% and 93%. Accuracy of the neural network model was robust across donor subgroups and remained stable in a prospective simulation, while the logistic regression model performance declined when applied to rarer subgroups and in the prospective simulation. Our findings support using machine learning models to help with the identification of potential organ donors using routinely collected clinical and laboratory data.

The Implementation of a Multidisciplinary Approach for Potential Organ Donors in the Emergency Department

BACKGROUND

The aim of this study was to evaluate the implementation process of a multidisciplinary approach for potential organ donors in the emergency department (ED) in order to incorporate organ donation into their end-of-life care plans.

METHODS

A new multidisciplinary approach was implemented in 6 hospitals in The Netherlands between January 2016 and January 2018. The approach was introduced during staff meetings in the ED, intensive care unit (ICU), and neurology department. When patients with a devastating brain injury had a futile prognosis in the ED, without contraindications for organ donation, an ICU admission was considered. Every ICU admission to incorporate organ donation into end-of-life care was systematically evaluated with the involved physicians using a standardized questionnaire.

RESULTS

In total, 55 potential organ donors were admitted to the ICU to incorporate organ donation into end-of-life care. Twenty-seven families consented to donation and 20 successful organ donations were performed. Twenty-nine percent of the total pool of organ donors in these hospitals were admitted to the ICU for organ donation.

CONCLUSIONS

Patients with a devastating brain injury and futile medical prognosis in the ED are an important proportion of the total number of donors. The implementation of a multidisciplinary approach is feasible and could lead to better identification of potential donors in the ED.

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

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 (R² = 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.

This retrospective analysis of the Australian and New Zealand Intensive Care Society Adult Patient Database data registry suggests that it is possible to estimate the expected number of organ donors and recognizes the existence of a small but significant pool of under-utilised potential donors. Supplemental digital content is available in the text.

Identification of potential organ donors after aneurysmal subarachnoid hemorrhage in a population-based neurointensive care in Eastern Finland

BACKGROUND

To analyze the organ donation action in population-based neurointensive care of acute aneurysmal subarachnoid hemorrhage (aSAH) and to seek factors that would improve the identification of potential organ donors (PODs) and increase the donor conversion rate (DCR) after aSAH.

METHODS

The Kuopio Intracranial Aneurysm Database, prospective since 1995, includes all aSAH patients admitted to the Kuopio University Hospital (KUH) from its defined Eastern Finnish catchment population. We analyzed 769 consecutive acute aSAH patients from 2005 to 2015, including their data from the Finnish Transplantation Unit and the national clinical registries. We analyzed PODs vs. actual donors among the 145 (19%) aSAH patients who died within 14 days of admission. Finland had implemented the national presumed consent (opt-out) within the study period in the end of 2010.

RESULTS

We retrospectively identified 83 (57%) PODs while only 49 (34%) had become actual donors (total DCR 59%); the causes for non-donorship were 15/34 (44%) refusals of consent, 18/34 (53%) medical contraindications for donation, and 1/34 (3%) failure of recognition. In 2005-2010, there were 11 refusals by near relatives with DCR 52% (29/56) and only three in 2011-2015 with DCR 74% (20/27). Severe condition on admission (Hunt and Hess grade IV or V) independently associated with the eventual POD status.

CONCLUSIONS

Nearly 20% of all aSAH patients acutely admitted to neurointensive care from a defined catchment population died within 14 days, almost half from cardiopulmonary causes at a median age of 69 years. Of all aSAH patients, 11% were considered as potential organ donors (PODs). Donor conversion rate (DCR) was increased from 52 to 74% after the national presumed consent (opt-out). Implicitly, DCR among aSAH patients could be increased by admitting them to the intensive care regardless of dismal prognosis for the survival, along a dedicated organ donation program for the catchment population.

Barriers toward organ donation in a Danish University Hospital

BACKGROUND

In Denmark, organ donation-rates are below the average in the western countries. We investigated the donor potential and identified barriers toward organ donation in a Danish university hospital.

METHODS

All patients who died in Aalborg University Hospital in 2012 were retrospectively identified. Patients with a CT- or MRI-proven deadly brain-lesion were eligible for inclusion.

RESULTS

Eighty-five patients with deadly brain-lesions were included, and of these 47 patients died in the intensive care unit (ICU). Older age and diagnosis of brain-hemorrhage and infarction were associated with admission to general ward (GW). In 62.4% of the patients the potential of becoming a donor was not identified. No donations occurred from patients dying from intracerebral hemorrhage or brain-infarction although they represented 44.7% of the potential donors.

DISCUSSION

This study reveals a huge, unrecognized donation potential at our hospital. About 30% was lost because they were never admitted to the ICU. After primary admission to the ICU, 15.3% of the potential donors were lost because they were transferred to the GW. In patients who died in the ICU 17.6% of the patients were not evaluated as potential donors. The relatives refused donation in 17.6% of cases.

CONCLUSION

It would be possible to raise the donation rate considerably if patients with donation potential are intubated and admitted to the ICU. When active treatment is considered withdrawn, possibility of organ donation should be evaluated, and the next of kin be approached by experienced staff.