Organ donation after resuscitation from cardiac arrest

Impact of the life-sustaining treatment decision act on organ donation in out-of-hospital cardiac arrests in South Korea: a multi-centre retrospective study

BACKGROUND

The demand for organ transplants, both globally and in South Korea, substantially exceeds the supply, a situation that might have been aggravated by the enactment of the Life-Sustaining Treatment Decision Act (LSTDA) in February 2018. This legislation may influence emergency medical procedures and the availability of organs from brain-dead donors. This study aimed to assess LSTDA's impact, introduced in February 2018, on organ donation status in out-of-hospital cardiac arrest (OHCA) patients in a metropolitan city and identified related factors.

METHODS

We conducted a retrospective analysis of a regional cardiac arrest registry. This study included patients aged 16 or older with cardiac arrest and a cerebral performance category (CPC) score of 5 from January 2015 to December 2022. The exclusion criteria were CPC scores of 1-4, patients under 16 years, and patients declared dead or transferred from emergency departments. Logistic regression analysis was used to analyse factors affecting organ donation.

RESULTS

Of the 751 patients included in this study, 47 were organ donors, with a median age of 47 years. Before the LSTDA, there were 30 organ donations, which declined to 17 after its implementation. In the organ donation group, the causes of cardiac arrest included medical (34%), hanging (46.8%), and trauma (19.2%). The adjusted odds ratio for organ donation before the LSTDA implementation was 6.12 (95% CI 3.09-12.12), with non-medical aetiology as associated factors.

CONCLUSION

The enactment of the LSTDA in 2018 in South Korea may be linked to reduced organ donations among patients with OHCA, underscoring the need to re-evaluate the medical and legal aspects of organ donation, especially considering end-of-life care decisions.

Clinical Factors Associated With Mode of Death Following Cardiac Arrest

BACKGROUND

Death after resuscitation from cardiac arrest is common. Although associated factors have been identified, knowledge about their relationship with specific modes of death is limited.

OBJECTIVE

To identify clinical factors associated with specific modes of death following cardiac arrest.

METHODS

This study involved a retrospective medical record review of patients admitted to a single health care center from January 2015 to March 2020 after resuscitation from cardiac arrest who died during their index hospitalization. Mode of death was categorized as either brain death, withdrawal of life-sustaining therapies due to neurologic causes, death due to medical causes, or withdrawal of life-sustaining therapies due to patient preference. Clinical characteristics across modes of death were compared.

RESULTS

The analysis included 731 patients. Death due to medical causes was the most common mode of death. Compared with the other groups of patients, those with brain death were younger, had fewer comorbidities, were more likely to have experienced unwitnessed and longer cardiac arrest, and had more severe acidosis and hyperglycemia on presentation. Patients who died owing to medical causes or withdrawal of life-sustaining therapies due to patient preference were older and had more comorbidities, fewer unfavorable cardiac arrest characteristics, and fewer days between cardiac arrest and death.

CONCLUSIONS

Significant associations were found between several clinical characteristics and specific mode of death following cardiac arrest. Decision-making regarding withdrawal of care after resuscitation from cardiac arrest should be based on a multimodal approach that takes account of a variety of personal and clinical factors.

Effect of Cardiac Arrest in Brain-dead Donors on Kidney Graft Function

BACKGROUND

Cardiac arrest (CA) causes renal ischemia in one-third of brain-dead kidney donors before procurement. We hypothesized that the graft function depends on the time interval between CA and organ procurement.

METHODS

We conducted a retrospective population-based study on a prospectively curated database. We included 1469 kidney transplantations from donors with a history of resuscitated CA in 2015-2017 in France. CA was the cause of death (primary CA) or an intercurrent event (secondary CA). The main outcome was the percentage of delayed graft function, defined by the use of renal replacement therapy within the first week posttransplantation.

RESULTS

Delayed graft function occurred in 31.7% of kidney transplantations and was associated with donor function, vasopressors, cardiovascular history, donor and recipient age, body mass index, cold ischemia time, and time to procurement after primary cardiac arrest. Short cold ischemia time, perfusion device use, and the absence of cardiovascular comorbidities were protected by multivariate analysis, whereas time <3 d from primary CA to procurement was associated with delayed graft function (odds ratio 1.38).

CONCLUSIONS

This is the first description of time to procurement after a primary CA as a risk factor for delayed graft function. Delaying procurement after CA should be evaluated in interventional studies.

2023 American Heart Association Focused Update on Adult Advanced Cardiovascular Life Support: An Update to the American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care

Cardiac arrest is common and deadly, affecting up to 700 000 people in the United States annually. Advanced cardiac life support measures are commonly used to improve outcomes. This "2023 American Heart Association Focused Update on Adult Advanced Cardiovascular Life Support" summarizes the most recent published evidence for and recommendations on the use of medications, temperature management, percutaneous coronary angiography, extracorporeal cardiopulmonary resuscitation, and seizure management in this population. We discuss the lack of data in recent cardiac arrest literature that limits our ability to evaluate diversity, equity, and inclusion in this population. Last, we consider how the cardiac arrest population may make up an important pool of organ donors for those awaiting organ transplantation.

The Role of Knowledge on Nursing Students' Attitudes toward Organ Donation: A Cross-Sectional Study

BACKGROUND

Nursing students constitute the future nursing workforce; their knowledge can readily influence potential donors' decisions on organ donation. This study aimed to assess nursing students' knowledge of organ donation, determine its impact on their attitude, and identify relevant factors.

METHODS

A cross-sectional comparative study assessed the level of knowledge and attitude toward organ donation among nursing students using the following two questionnaires: (1) knowledge about organ donation and (2) attitudes toward posthumous organ donation. Non-probability convenience sampling was employed to collect data.

RESULTS

A total of 278 nursing students demonstrated a low level of knowledge on organ donation, with a score of 6.43 out of 15. This influenced their attitude toward organ donation (χ2 (3) = 33.91, p < 0.001). Nursing students who were willing to donate their organs showed higher knowledge (7.33 ± 3.23) compared to those who were not willing to donate their organs (5.21 ± 3.09), p < 0.001. Registered donors had higher knowledge (8.52 ± 2.99) than non-donors (5.80 ± 3.17), p < 0.001.

CONCLUSIONS

Even though nursing students typically favor organ donation, findings have revealed a low knowledge score. Therefore, it is necessary to improve knowledge of organ donation through nursing curricula and research, which could potentially increase the number of donors among future nursing students and, by extension, the broader population.

Development and validation of a novel score to predict brain death after out-of-hospital cardiac arrest

BACKGROUND AND OBJECTIVES

Brain death (BD) occurs in 9-24% of successfully resuscitated out-of-hospital cardiac arrests (OHCA). To predict BD after OHCA, we developed a novel brain death risk (BDR) score.

METHODS

We identified independent predictors of BD after OHCA in a retrospective, single academic center cohort between 2011 and 2021. The BDR score ranges from 0 to 7 points and includes: non-shockable rhythm (1 point), drug overdose as etiology of arrest (1 point), evidence of grey-white differentiation loss or sulcal effacement on head computed tomography (CT) radiology report within 24 hours of arrest (2 points), Full-Outline-Of-UnResponsiveness (FOUR) score of 0 (2 points), FOUR score 1-5 (1 point), and age <45 years (1 point). We internally validated the BDR score using k-fold cross validation (k = 8) and externally validated the score at an independent academic center. The main outcome was BD.

RESULTS

The development cohort included 362OHCA patients, of whom 18% (N = 58) experienced BD. Internal validation provided an area under the receiving operator characteristic curve (AUC) (95% CI) of 0.931 (0.905-0.957). In the validation cohort, 19.8% (N = 17) experienced BD. The AUC (95% CI) was 0.849 (0.765-0.933). In both cohorts, a BDR score >4 was the optimal cut off (sensitivity 0.903 and 0.882, specificity 0.830 and 0.652, in the development and validation cohorts respectively).

DISCUSSION

The BDR score identifies those at highest risk for BD after OHCA. Our data suggest that a BDR score >4 is the optimal cut off.

Cardiovascular mechanism of donor brain death and heart recipient survival

BACKGROUND

Heart donation after donor brain death from cardiac arrest despite successful resuscitation may be associated with worse recipient outcomes due to potential graft ischemia or underlying rhythmic/structural defects. However, selected grafts from such donors often have normal cardiac function and anatomy. We investigated whether a cardiovascular mechanism of donor brain death (CV-DBD) was associated with worse recipient outcomes.

METHODS

We queried the United Network for Organ Sharing (UNOS) database for first-time, single-organ, adult (age 18+) heart transplant recipients and their associated donors between January 2005 and March 2021. Recipients were stratified by donor status (CV-DBD vs. non-CV-DBD). We performed multivariable Cox proportional hazards modeling to ascertain whether receiving a CV-DBD graft was independently associated with mortality.

RESULTS

Of 35,833 included recipients, 2,702 (7.5%) received CV-DBD grafts. The associated donors were significantly more likely to be female, older, and have a history of diabetes, hypertension, and substance use (all p < .001). On unadjusted Kaplan-Meier analysis, CV-DBD recipients had a significantly reduced median survival than non-CV-DBD recipients (12.0 vs. 13.1 years, log-rank p = .04). However, after adjusting for donor/recipient age, recipient comorbidities, annualized center volume, and transplantation era, CV-DBD organ status was not associated with recipient mortality (hazard ratio: 1.05, 95% confidence interval: 0.96-1.13, p = .28).

CONCLUSION

In this analysis of over 35,000 heart transplants, CV-DBD status was not associated with adjusted recipient survival. Donor brain death due to cardiac arrest should not be an absolute contraindication to heart donation, although graft function should be carefully assessed before transplantation.

Early risk stratification for progression to death by neurological criteria following out-of-hospital cardiac arrest

BACKGROUND

Some patients resuscitated from out-of-hospital cardiac arrest (OHCA) progress to death by neurological criteria (DNC). We hypothesized that initial brain imaging, electroencephalography (EEG), and arrest characteristics predict progression to DNC.

METHODS

We identified comatose OHCA patients from January 2010 to February 2020 treated at a single quaternary care facility in Western Pennsylvania. We abstracted demographics and arrest characteristics; Pittsburgh Cardiac Arrest Category, initial motor exam and pupillary light reflex; initial brain computed tomography (CT) grey-to-white ratio (GWR), sulcal or basal cistern effacement; initial EEG background and suppression ratio. We used two modeling approaches: fast and frugal tree (FFT) analysis to create an interpretable clinical risk stratification tool and ridge regression for comparison. We used bootstrapping to randomly partition cases into 80% training and 20% test sets and evaluated test set sensitivity and specificity.

RESULTS

We included 1,569 patients, of whom 147 (9%) had diagnosed DNC. Across bootstrap samples, >99% of FFTs included three predictors: sulcal effacement, and in cases without sulcal effacement, the combination of EEG background suppression and GWR ≤ 1.23. This tree had mean sensitivity and specificity of 87% and 81%. Ridge regression with all available predictors had mean sensitivity 91 % and mean specificity 83%. Subjects falsely predicted as likely to progress to DNC generally died of rearrest or withdrawal of life sustaining therapies due to poor neurological prognosis. Two of these cases awakened from coma during the index hospitalization.

CONCLUSIONS

Sulcal effacement on presenting brain CT or EEG suppression with GWR ≤ 1.23 predict progression to DNC after OHCA.

Organ donation after out-of-hospital cardiac arrest: a population-based study of data from the Paris Sudden Death Expertise Center

BACKGROUND

Organ shortage is a major public health issue, and patients who die after out-of-hospital cardiac arrest (OHCA) could be a valuable source of organs. Here, our objective was to identify factors associated with organ donation after brain death complicating OHCA, in unselected patients entered into a comprehensive real-life registry covering a well-defined geographic area.

METHODS

We prospectively analyzed consecutive adults with OHCA who were successfully resuscitated, but died in intensive care units in the Paris region in 2011-2018. The primary outcome was organ donation after brain death. Independent risk factors were identified using logistic regression analysis. One-year graft survival was assessed using Cox and log-rank tests.

RESULTS

Of the 3061 included patients, 136 (4.4%) became organ donors after brain death, i.e., 28% of the patients with brain death. An interaction between admission pH and post-resuscitation shock was identified. By multivariate analysis, in patients with post-resuscitation shock, factors associated with organ donation were neurological cause of OHCA (odds ratio [OR], 14.5 [7.6-27.4], P < 0.001), higher pH (OR/0.1 increase, 1.3 [1.1-1.6], P < 0.001); older age was negatively associated with donation (OR/10-year increase, 0.7 [0.6-0.8], P < 0.001). In patients without post-resuscitation shock, the factor associated with donation was neurological cause of OHCA (OR, 6.9 [3.0-15.9], P < 0.001); higher pH (OR/0.1 increase, 0.8 [0.7-1.0], P = 0.04) and OHCA at home (OR, 0.4 [0.2-0.7], P = 0.006) were negatively associated with organ donation. One-year graft survival did not differ according to Utstein characteristics of the donor.

CONCLUSIONS

4% of patients who died in ICU after OHCA led to organ donation. Patients with OHCA constitute a valuable source of donated organs, and special attention should be paid to young patients with OHCA of neurological cause.

Between-hospital variability in organ donation after resuscitation from out-of-hospital cardiac arrest

INTRODUCTION

Survival and recovery after out-of-hospital cardiac arrest (OHCA) varies between hospitals, with better outcomes associated with high-volume and specialty care. We evaluated if there is a similar relationship with organ donation after OHCA.

METHODS

We studied a cohort of adults resuscitated from OHCA from 2010 to 2018, treated at one of 112 hospitals served by a regional organ procurement organization (OPO). We obtained hospital-level characteristics from Centers for Medicare and Medicaid Services and Health Resources and Services Administration and obtained patients' clinical information from the OPO health record. We excluded patients with no potential to donate on initial referral. Our primary exposure was treatment at a high-volume hospital (defined >500 eligible cases during the study period) and our primary outcomes were suitability to donate after full medical evaluation, successful organ procurement and organ transplantation. We used mixed effects models to quantify between-hospital variability in the primary outcomes RESULTS: Overall, 9,792 patients were included and 796 (8%) were organ donors. We identified significant between-hospital variation in odds of donation (median odds ratio 1.64 [95% CI 1.42 - 2.02]). Hospital volume explained the greatest proportion of variability. High volume centers had a higher proportion of referrals with potential to donate (16.9 vs 12.2%), actual donation (10.3 vs 6.2%), and successful transplantation (9.4 vs 5.7%). Overall, 2032/7763 (26%) of recovered transplantable organs in this region were procured from OHCA patients.

CONCLUSION

High volume centers are more likely to refer and procure transplantable organs from patients with non-survivable OHCA.