Towards a point-of-care multimodal spectroscopy instrument for the evaluation of human cardiac tissue.

To demonstrate that point-of-care multimodal spectroscopy using Near-Infrared (NIR) and Raman Spectroscopy (RS) can be used to diagnose human heart tissue. We generated 105 spectroscopic scans, which comprised 4 NIR and 3 RS scans per sample to generate a "multimodal spectroscopic scan" (MSS) for each heart, done across 15 patients, 5 each from the dilated cardiomyopathy (DCM), Ischaemic Heart Disease (IHD) and Normal pathologies. Each of the MSS scans was undertaken in 3 s. Data were entered into machine learning (ML) algorithms to assess accuracy of MSS in diagnosing tissue type. The median age was 50 years (IQR 49-52) for IHD, 47 (IQR 45-50) for DCM and 36 (IQR 33-52) for healthy patients (p = 0.35), 60% of which were male. MSS identified key differences in IHD, DCM and normal heart samples in regions typically associated with fibrosis and collagen (NIR wavenumbers: 1433, 1509, 1581, 1689 and 1725 nm; RS wavelengths: 1658, 1450 and 1330 cm-1). In principal component (PC) analyses, these differences explained 99.2% of the variation in 4 PCs for NIR, 81.6% in 10 PCs for Raman, and 99.0% in 26 PCs for multimodal spectroscopic signatures. Using a stack machine learning algorithm with combined NIR and Raman data, our model had a precision of 96.9%, recall of 96.6%, specificity of 98.2% and Area Under Curve (AUC) of 0.989 (Table 1). NIR and Raman modalities alone had similar levels of precision at 94.4% and 89.8% respectively (Table 1). MSS combined with ML showed accuracy of 90% for detecting dilated cardiomyopathy, 100% for ischaemic heart disease and 100% for diagnosing healthy tissue. Multimodal spectroscopic signatures, based on NIR and Raman spectroscopy, could provide cardiac tissue scans in 3-s to aid accurate diagnoses of fibrosis in IHD, DCM and normal hearts. Table 1 Machine learning performance metrics for validation data sets of (a) Near-Infrared (NIR), (b) Raman and (c and d) multimodal data using logistic regression (LR), stochastic gradient descent (SGD) and support vector machines (SVM), with combined "stack" (LR + SGD + SVM) AUC Precision Recall Specificity (a) NIR model  Logistic regression 0.980 0.944 0.933 0.967  SGD 0.550 0.281 0.400 0.700  SVM 0.840 0.806 0.800 0.900  Stack 0.933 0.794 0.800 0.900 (b) Raman model  Logistic regression 0.985 0.940 0.929 0.960  SGD 0.892 0.869 0.857 0.932  SVM 0.992 0.940 0.929 0.960  Stack 0.954 0.869 0.857 0.932 (c) MSS: multimodal (NIR + Raman) to detect DCM vs. IHD vs. normal patients  Logistic regression 0.975 0.841 0.828 0.917  SGD 0.847 0.803 0.793 0.899  SVM 0.971 0.853 0.828 0.917  Stack 0.961 0.853 0.828 0.917 (d) MSS: multimodal (NIR + Raman) to detect pathological vs. normal patients  Logistic regression 0.961 0.969 0.966 0.984  SGD 0.944 0.967 0.966 0.923  SVM 1.000 1.000 1.000 1.000  Stack 1.000 0.944 0.931 0.969 Bold values indicate values obtained from the stack algorithm and used for analyses.

An Audit of Lung Donor Pool: Optimal Current Donation Strategies and the Potential of Novel Time-Extended Donation After Circulatory Death Donation.

BACKGROUND: In Australia, increased organ donation and subsequent lung transplantation (LTx) rates have followed enhanced donor identification, referral and management, as well as the introduction of a donation after circulatory death (DCD) pathway. However, the number of patients waiting for LTx still continues to exceed the number of lung donors and the search for further suitable donors is critical. METHODS: All 2014-2018 Victorian DonateLife hospital deaths after intensive care unit (ICU) admission were analysed retrospectively to quantify unrecognised lung donors using current criteria, as well as novel time-extended (90 mins-24 hrs post-withdrawal) DCD lung donors. RESULTS: Using standard lung donor eligibility criteria, we identified 473 potential lung donors and a further 122 time-extended DCD potential lung donors among 3,538 patients meeting general eligibility criteria. Detailed review of end-of-life discussions with patient families and the reasons why they were not offered donation revealed several categories of additional lung donors-traditional lung donors missed in current practice (n=2); hepatitis C infected lung donors potentially treatable with direct-acting antivirals (n=14), time-extended DCD lung donors (n=60); donor lungs potentially suitable for transplant with use of ex-vivo lung perfusion (EVLP) (n=7). CONCLUSION: While the number of lung donor opportunities missed under existing DonateLife donor identification and management processes was limited, a time-extended DCD lung donation pathway could substantially expand the lung donor pool. The use of hepatitis C infected donors, and the possibility of EVLP to solve donor graft assessment or logistic issues, could also provide small additional lung donor opportunities.

Improving the predictability of time to death in controlled donation after circulatory death lung donors.

Although the use of donation after circulatory death (DCD) donors has increased lung transplant activity, 25-40% of intended DCD donors do not convert to actual donation because of no progression to asystole in the required time frame after withdrawal of cardiorespiratory support (WCRS). No studies have specifically focussed on DCD lung donor progression. This retrospective study reviewed intended DCD lung donors to make a prediction model of the likelihood of progression to death using logistic regression and classification and regression tree (CART). Between 2014 and 2018, 159 of 334 referred DCD donors were accepted, with 100 progressing to transplant, while 59 (37%) did not progress. In logistic regression, a length of ICU stay ≤ 5 days, severe infra-tentorial brain damage on imaging and use of vasopressin were related with the progression to actual donation. CART modelling of the likelihood of death within 90-minute post-WCRS provided prediction with a sensitivity of 1.00 and positive predictive value of 0.56 in the validation data set. In the nonprogressed DCD group, 26 died within 6 h post-WCRS. Referral received early after ICU admission, with nonspontaneous ventilatory mode, deep coma and severe infra-tentorial damage were relevant predictors. The CART model is useful to exclude DCD donor candidates with low probability of progression.

Mechanistic Target of Rapamycin Inhibition Prevents Coronary Artery Remodeling in a Murine Model of Kawasaki Disease.

OBJECTIVE: Remodeling of the coronary arteries is a common feature in severe cases of Kawasaki disease (KD). This pathology is driven by the dysregulated proliferation of vascular fibroblasts, which can lead to coronary artery aneurysms, stenosis, and myocardial ischemia. We undertook this study to investigate whether inhibiting fibroblast proliferation might be an effective therapeutic strategy to prevent coronary artery remodeling in KD. METHOD: We used a murine model of KD (induced by the injection of the Candida albicans water-soluble complex [CAWS]) and analyzed patient samples to evaluate potential antifibrotic therapies for KD. RESULTS: We identified the mechanistic target of rapamycin (mTOR) pathway as a potential therapeutic target in KD. The mTOR inhibitor rapamycin potently inhibited cardiac fibroblast proliferation in vitro, and vascular fibroblasts up-regulated mTOR kinase signaling in vivo in the CAWS mouse model of KD. We evaluated the in vivo efficacy of mTOR inhibition and found that the therapeutic administration of rapamycin reduced vascular fibrosis and intimal hyperplasia of the coronary arteries in CAWS-injected mice. Furthermore, the analysis of cardiac tissue from KD fatalities revealed that vascular fibroblasts localizing with inflamed coronary arteries up-regulate mTOR signaling, confirming that the mTOR pathway is active in human KD. CONCLUSION: Our findings demonstrate that mTOR signaling contributes to coronary artery remodeling in KD, and that targeting this pathway offers a potential therapeutic strategy to prevent or restrict this pathology in high-risk KD patients.

Australian Donation and Transplantation Biobank: A Research Biobank Integrated Within a Deceased Organ and Tissue Donation Program.

We aimed to facilitate the donation of tissue samples for research by establishing a centralized system integrated in the organ donation program for collection, storage, and distribution of samples (the Australian Donation and Transplantation Biobank [ADTB]). Methods: Feasibility of a research biobank integrated within the deceased organ and tissue donation program was assessed. DonateLife Victoria sought consent for ADTB donation after consent was received for organ donation for transplantation from the donor's senior available next of kin. ADTB samples were collected during donation surgery and distributed fresh to researchers or stored for future research. The main outcome measures were ADTB donation rates, ADTB sample collection, ADTB sample use, and to identify ethical considerations. Results: Over 2 y, samples were collected for the ADTB from 69 donors (28% of 249 donors). Samples were obtained from the spleen (n = 59, 86%), colon (n = 57, 83%), ileum (n = 56, 82%), duodenum (n = 55, 80%), blood (n = 55, 80%), bone marrow (n = 55, 80%), skin (n = 54, 78%), mesenteric lymph nodes (n = 56, 81%), liver (n = 21, 30%), lung (n = 29, 42%), and lung-draining lymph node (n = 29, 42%). Heart (n = 20), breast (n = 1), and lower urinary tract (n = 1) samples were obtained in the second year. Five hundred fifty-six samples were used in 19 ethics-approved research projects spanning the fields of immunology, microbiology, oncology, anatomy, physiology, and surgery. Conclusions: The integration of routine deceased donation and transplantation activities with a coordinated system for retrieval and allocation of donor samples for use in a range of research projects is feasible and valuable.

Point-of-care detection of fibrosis in liver transplant surgery using near-infrared spectroscopy and machine learning.

Introduction: Visual assessment and imaging of the donor liver are inaccurate in predicting fibrosis and remain surrogates for histopathology. We demonstrate that 3-s scans using a handheld near-infrared-spectroscopy (NIRS) instrument can identify and quantify fibrosis in fresh human liver samples. Methods: We undertook NIRS scans on 107 samples from 27 patients, 88 from 23 patients with liver disease, and 19 from four organ donors. Results: Liver disease patients had a median immature fibrosis of 40% (interquartile range [IQR] 20-60) and mature fibrosis of 30% (10%-50%) on histopathology. The organ donor livers had a median fibrosis (both mature and immature) of 10% (IQR 5%-15%). Using machine learning, this study detected presence of cirrhosis and METAVIR grade of fibrosis with a classification accuracy of 96.3% and 97.2%, precision of 96.3% and 97.0%, recall of 96.3% and 97.2%, specificity of 95.4% and 98.0% and area under receiver operator curve of 0.977 and 0.999, respectively. Using partial-least square regression machine learning, this study predicted the percentage of both immature (R 2 = 0.842) and mature (R 2 = 0.837) with a low margin of error (root mean square of error of 9.76% and 7.96%, respectively). Conclusion: This study demonstrates that a point-of-care NIRS instrument can accurately detect, quantify and classify liver fibrosis using machine learning.

Early immune pressure initiated by tissue-resident memory T cells sculpts tumor evolution in non-small cell lung cancer.

Tissue-resident memory T (TRM) cells provide immune defense against local infection and can inhibit cancer progression. However, it is unclear to what extent chronic inflammation impacts TRM activation and whether TRM cells existing in tissues before tumor onset influence cancer evolution in humans. We performed deep profiling of healthy lungs and lung cancers in never-smokers (NSs) and ever-smokers (ESs), finding evidence of enhanced immunosurveillance by cells with a TRM-like phenotype in ES lungs. In preclinical models, tumor-specific or bystander TRM-like cells present prior to tumor onset boosted immune cell recruitment, causing tumor immune evasion through loss of MHC class I protein expression and resistance to immune checkpoint inhibitors. In humans, only tumors arising in ES patients underwent clonal immune evasion, unrelated to tobacco-associated mutagenic signatures or oncogenic drivers. These data demonstrate that enhanced TRM-like activity prior to tumor development shapes the evolution of tumor immunogenicity and can impact immunotherapy outcomes.

A prediction model to determine the untapped lung donor pool outside of the DonateLife network in Victoria.

Lung transplantation is limited by a lack of suitable lung donors. In Australia, the national donation organisation (DonateLife) has taken a major role in optimising organ donor identification. However, the potential outside the DonateLife network hospitals remains uncertain. We aimed to create a prediction model for lung donation within the DonateLife network and estimate the untapped lung donors outside of the DonateLife network. We reviewed all deaths in the state of Victoria's intensive care units using a prospectively collected population-based intensive care unit database linked to organ donation records. A logistic regression model derived using patient-level data was developed to characterise the lung donors within DonateLife network hospitals. Consequently, we estimated the expected number of lung donors in Victorian hospitals outside the DonateLife network and compared the actual number. Between 2014 and 2018, 291 lung donations occurred from 8043 intensive care unit deaths in DonateLife hospitals, while only three lung donations occurred from 1373 ICU deaths in non-DonateLife hospitals. Age, sex, postoperative admission, sepsis, neurological disease, trauma, chronic respiratory disease, lung oxygenation and serum creatinine were factors independently associated with lung donation. A highly discriminatory prediction model with area under the receiver operator characteristic curve of 0.91 was developed and accurately estimated the number of lung donors. Applying the model to non-DonateLife hospital data predicted only an additional five lung donors. This prediction model revealed few additional lung donor opportunities outside the DonateLife network, and the necessity of alternative and novel strategies for lung donation. A donor prediction model could provide a useful benchmarking tool to explore organ donation potential across different jurisdictions, hospitals and transplanting centres.

Intimal macrophages develop from circulating monocytes during vasculitis.

Objective: Vasculitis is characterised by inflammation of the blood vessels. While all layers of the vessel can be affected, inflammation within the intimal layer can trigger thrombosis and arterial occlusion and is therefore of particular clinical concern. Given this pathological role, we have examined how intimal inflammation develops by exploring which (and how) macrophages come to populate this normally immune-privileged site during vasculitis. Methods: We have addressed this question for Kawasaki disease (KD), which is a type of vasculitis in children that typically involves the coronary arteries. We used confocal microscopy and flow cytometry to characterise the macrophages that populate the coronary artery intima in KD patient samples and in a mouse model of KD, and furthermore, have applied an adoptive transfer system to trace how these intimal macrophages develop. Results: In KD patients, intimal hyperplasia coincided with marked macrophage infiltration of the coronary artery intima. Phenotypic analysis revealed that these 'intimal macrophages' did not express markers of resident cardiac macrophages, such as Lyve-1, and instead, were uniformly positive for the chemokine receptor Ccr2, suggesting a monocytic lineage. In support of this origin, we show that circulating monocytes directly invade the intima via transluminal migration during established disease, coinciding with the activation of endothelial cells lining the coronary arteries. Conclusions: During KD, intimal macrophages develop from circulating monocytes that infiltrate the inflamed coronary artery intima by transluminal migration.

A diverse fibroblastic stromal cell landscape in the spleen directs tissue homeostasis and immunity.

The spleen is a compartmentalized organ that serves as a blood filter and safeguard of systemic immune surveillance. Labyrinthine networks of fibroblastic stromal cells construct complex niches within the white pulp and red pulp that are important for tissue homeostasis and immune activation. However, the identity and roles of the global splenic fibroblastic stromal cells in homeostasis and immune responses are poorly defined. Here, we performed a cellular and molecular dissection of the splenic reticular stromal cell landscape. We found that white pulp fibroblastic reticular cells (FRCs) responded robustly during acute viral infection, but this program of gene regulation was suppressed during persistent viral infection. Single-cell transcriptomic analyses in mice revealed diverse fibroblast cell niches and unexpected heterogeneity among podoplanin-expressing cells that include glial, mesothelial, and adventitial cells in addition to FRCs. We found analogous fibroblastic stromal cell diversity in the human spleen. In addition, we identify the transcription factor SpiB as a critical regulator required to support white pulp FRC differentiation, homeostatic chemokine expression, and antiviral T cell responses. Together, our study provides a comprehensive map of fibroblastic stromal cell types in the spleen and defines roles for red and white pulp fibroblasts for splenic function and orchestration of immune responses.

Lung-resident memory B cells established after pulmonary influenza infection display distinct transcriptional and phenotypic profiles.

Recent studies have established that memory B cells, largely thought to be circulatory in the blood, can take up long-term residency in inflamed tissues, analogous to widely described tissue-resident T cells. The dynamics of recruitment and retention of memory B cells to tissues and their immunological purpose remains unclear. Here, we characterized tissue-resident memory B cells (BRM) that are stably maintained in the lungs of mice after pulmonary influenza infection. Influenza-specific BRM were localized within inducible bronchus-associated lymphoid tissues (iBALTs) and displayed transcriptional signatures distinct from classical memory B cells in the blood or spleen while showing partial overlap with memory B cells in lung-draining lymph nodes. We identified lung-resident markers, including elevated expression of CXCR3, CCR6, and CD69, on hemagglutinin (HA)- and nucleoprotein (NP)-specific lung BRM. We found that CCR6 facilitates increased recruitment and/or retention of BRM in lungs and differentiation into antibody-secreting cells upon recall. Although expression of CXCR3 and CCR6 was comparable in total and influenza-specific memory B cells isolated across tissues of human donors, CD69 expression was higher in memory B cells from lung and draining lymph nodes of human organ donors relative to splenic and PBMC-derived populations, indicating that mechanisms underpinning BRM localization may be evolutionarily conserved. Last, we demonstrate that human memory B cells in lungs are transcriptionally distinct to populations in lung-draining lymph nodes or PBMCs. These data suggest that BRM may constitute a discrete component of B cell immunity, positioned at the lung mucosa for rapid humoral response against respiratory viral infections.

Common Criteria for Ex Vivo Lung Perfusion Have No Significant Impact on Posttransplant Outcomes.

BACKGROUND: Although it is intense in health care resources, by facilitating assessment and reconditioning, ex vivo lung perfusion (EVLP) has the potential to expand the donor pool and improve lung transplant outcomes. However, inclusion criteria used in EVLP trials have not been validated. METHODS: This retrospective study from 2014 to 2018 reviewed our local state-based donation organization donor records as well as subsequent recipient outcomes to explore the relation between EVLP indications used in clinical trials and recipient outcomes. The primary outcome was primary graft dysfunction grade 3 at 24 hours, with 30-day mortality and posttransplant survival time as secondary outcomes, compared with univariate and multivariate analysis. RESULTS: From 705 lung donor referrals, 304 lung transplantations were performed (use rate of 42%); 212 of recipients (70%) met at least 1 of the commonly cited EVLP initiation criteria. There was no significant difference in primary graft dysfunction grade 3 or 30-day mortality between recipients with or without an EVLP indication (10.2% versus 7.8%, P = .51; and 2.4% versus 0%, P = .14, respectively). Multivariate analyses showed no significant relationship between commonly cited EVLP criteria and primary graft dysfunction grade 3 or survival time. Recipient outcomes were significantly associated with recipient diagnosis. CONCLUSIONS: At least 1 commonly cited criterion for EVLP initiation was present in 70% of the transplanted donors, and yet it did not predict clinical results; acceptable outcomes were seen in both subgroups. To discover the true utility of EVLP beyond good clinical management and focus EVLP on otherwise unacceptable lungs, a reconsideration of EVLP inclusion criteria is required.

A Retrospective Review of Declined Lung Donors: Estimating the Potential of Ex Vivo Lung Perfusion.

BACKGROUND: Even in the extended-criteria era, the reasons for declining lung donors are not always clear. Furthermore, it has not been determined how many actual declined lungs would be retrieved by ex vivo lung perfusion (EVLP) beyond that already achieved in centers with an existing high utilization rate. METHODS: This retrospective study reviewed all lung donor referrals between 2014 and 2018, including detailed formal referrals and preliminary notifications. This study categorized reasons for lung donor non-acceptance and estimated how many declined grafts could have been theoretically retrievable by using EVLP. RESULTS: In total, 966 lung donor candidates were referred, including 313 transplanted donors, 336 declined donors after detailed referrals (group A) and 258 preliminary declined. In group A, the primary reasons for refusal were lung quality issues (49%), general medical issues (25%), and organization issues (26%), combined with secondary reasons in many cases. Main lung quality issues were an extensive smoking history, abnormal chest radiography, and underlying lung disease. Although 73 declined lung donors had indications for EVLP, the retrievable lungs decreased to only 30 cases after considering the details of all clinical contraindications and organizational issues. Nevertheless, 59 intended donation after circulatory death donors did not progress to death after withdrawal of cardiorespiratory support in the required timeframe, and EVLP may have an emerging additional role here. CONCLUSIONS: Based on commonly cited criteria for EVLP indication, the number of EVLP retrievable lung donors represented only a small portion of declined donor lungs referred to our center from the state donation network.

Successful Implementation of an Increased Viral Risk Donor Waiting List for Preconsented Kidney Transplant Candidates in Victoria, Australia.

Increased viral risk donors (IVRDs) with increased risk behaviors for blood-borne virus infection and negative nucleic acid testing have a low absolute risk of "window period" infection. Utilization and allocation of IVRD organs differ between jurisdictions. METHODS: We examined the characteristics and utilization of deceased donor IVRD kidneys and recipient outcomes within a 2-y period (July 31, 2018-July 31, 2020) postimplementation of a new opt-in allocation pathway for preconsented recipients in Victoria, Australia. RESULTS: Fifty-six kidneys from 31 IVRDs were utilized, comprising 13% of donors. Preconsent rate to accept IVRD kidneys increased to 41% of the waitlist in the 2 y postimplementation, and IVRDs having no kidneys utilized reduced to 0%. Compared with non-IVRD kidneys, kidney offer declines >10 per donor were less likely from IVRDs (3% vs 19%; P < 0.05). IVRDs were younger (median age 36 [IQR 30-44] vs 51 [35-60] y; P < 0.0001), with lower kidney donor profile index (25% [13-40%] vs 57% [29-75%]; P < 0.0001), and less hypertension (0% vs 22%; P < 0.01). Estimated glomerular filtration rate 3 mo post-transplant was superior (P < 0.01). Injecting drug use (61%) was the most common increased risk behavior. 29% of IVRDs were hepatitis C antibody positive but nucleic acid testing negative. No active infection was detected in any recipient post-transplant. CONCLUSIONS: The described opt-in system permits efficient allocation and utilization of kidneys from IVRDs, with superior quality and graft function. Education is crucial to facilitate informed consent and equity of access to this donor pool.

Adaptive immunity to human coronaviruses is widespread but low in magnitude.

OBJECTIVES: Endemic human coronaviruses (hCoVs) circulate worldwide but cause minimal mortality. Although seroconversion to hCoV is near ubiquitous during childhood, little is known about hCoV-specific T-cell memory in adults. METHODS: We quantified CD4 T-cell and antibody responses to hCoV spike antigens in 42 SARS-CoV-2-uninfected individuals. Antigen-specific memory T cells and circulating T follicular helper (cTFH) cells were identified using an activation-induced marker assay and characterised for memory phenotype and chemokine receptor expression. RESULTS: T-cell responses were widespread within conventional memory and cTFH compartments but did not correlate with IgG titres. SARS-CoV-2 cross-reactive T cells were observed in 48% of participants and correlated with HKU1 memory. hCoV-specific T cells exhibited a CCR6+ central memory phenotype in the blood, but were enriched for frequency and CXCR3 expression in human lung-draining lymph nodes. CONCLUSION: Overall, hCoV-specific humoral and cellular memory are independently maintained, with a shared phenotype existing among coronavirus-specific CD4 T cells. This understanding of endemic coronavirus immunity provides insight into the homeostatic maintenance of immune responses that are likely to be critical components of protection against SARS-CoV-2.

Expedited organ donation in Victoria, Australia: donor characteristics and donation outcomes.

Background: Deceased organ donation work-up typically takes 24 hours or more. Clinicians may thus discount the possibility of donation when the potential donor is physiologically unstable or family requirements do not allow this length of time. This may lead to loss of transplantable organs. In 2015, we introduced an expedited work-up guideline with the aim of facilitating donation in these circumstances and maximising donation potential. Objective: To determine the number of expedited work-up (consent to retrieval procedure of 6 hours or less) donors from 2015 to 2018, compare their clinical and demographic characteristics with standard donors, and assess the outcome of transplanted organs and organ recipients. Design: We performed a retrospective audit of the electronic database for all Victorian donors from 2015 to 2018. We obtained transplant outcome data from the Australia and New Zealand Dialysis and Transplant Registry (ANZDATA). Results: Overall, 38 expedited pathway donors donated 78 organs for transplantation (70 kidneys, four lungs, three livers, one pancreas). Of these, 55 retrieved kidneys were successfully transplanted. The lungs, livers and pancreas retrieved were all transplanted. For the kidney recipients, early graft dysfunction requiring dialysis was more common than with organs from the standard pathway (71% v 38%; P < 0.0001); however, short and medium term graft and patient survival were similar. Three recipients from the expedited pool experienced graft failure and two subsequently died. Of the two lung recipients, one died at day 622 of chronic rejection. Conclusions: Expedited pathway donation is feasible with acceptable donation outcomes. Clinicians should consider donation even when physiological instability or family requirements preclude standard organ donation work-up times.

The impact of organ donation specialists on consent rate in challenging organ donation conversations.

Background: Consent rates for organ donation conversations (ODCs) vary. We hypothesised that a simple grading system could identify challenging ODCs. We further hypothesised that challenging ODCs would have higher consent rates when conducted by ODC specialists. Objectives: We aimed to study the utility of a grading system for ODCs and test the hypothesis that any training effect would be associated with improved consent rates in ODCs graded as most challenging. Methods: We stratified 2017 Australian DonateLife Audit aggregate consent and donation discussion data into four ODC grades based on Australian Organ Donor Register (AODR) status and person first raising the topic of organ donation. Grade I: "yes" present on AODR and family-raised organ donation; Grade II: "yes" present on AODR, and clinician-raised organ donation; Grade III: no registration on AODR but family-raised organ donation; and Grade IV: no registration on AODR, and clinician-raised organ donation. Results: Grade I ODCs were uncommon 7.7% (109/1420), with a consent rate of 95.4% (104/109). Grade IV ODCs were frequent (60.4%, 857/1420), with a consent rate of 41.4% (355/857). However, in Grade IV ODCs, organ donation specialist consent rate was 53.5% (189/353), significantly greater than for other trained staff at 33.1% (88/266) (P < 0.005; odds ratio [OR], 2.33; 95% CI, 1.68-3.24) or untrained requestors at 32.8% (78/238; P < 0.005; OR, 2.36; 95% CI. 1.68-3.33). Conclusion: The likelihood of consent can be predicted using readily available variables. This allows prospective identification of Grade IV ODCs, which carry low but potentially modifiable likelihood of consent. Involving donation specialists was associated with more consents for organ donation when applied retrospectively to Australian audit data.

Influence of the donor history of tobacco and marijuana smoking on early and intermediate lung transplant outcomes.

BACKGROUND: Donor smoking histories are common in the lung donor pool, which are known to adversely affect post-lung transplant (LTx) outcomes. However, no evidence is available about smoking status (current/former), cumulative dose effect, or the combined effect of tobacco with marijuana. METHODS: We retrospectively reviewed our local state-based donation organization records and subsequent LTx recipient outcomes. The primary outcome was 3-year graft survival, with cause of death as secondary outcomes. Univariate and multivariate Cox regression analyses were used to explore smoking status or cumulative dose effect. RESULTS: Between 2014 and 2018, 304 LTxs were performed: 133 (44%) LTxs were from never-smoker donors, 68 (22%) from former-smoker donors, and 103 (34%) from current-smoker donors. Of the current-smoker donors, 48% had a marijuana use history. There was no significant difference in early mortality, although recipients who received transplants from current-smoker donors had a lower 3-year graft survival than those who received transplants from never smokers. Multivariate modeling showed that current tobacco smoking (hazard ratio: 2.13, 95% CI: 1.13-3.99) and a more than 5-year weekly marijuana use (hazard ratio: 2.97, 95% CI: 1.29-6.87) were independent donor factors affecting graft survival. Chronic lung allograft dysfunction accounted for a higher proportion of the causes of death within 3 years after LTx where lungs from current/former smokers were utilized compared with those from never smokers (chronic lung allograft dysfunction-cause mortality: 11%, 7%, 0%, respectively). CONCLUSIONS: More than 50% of LTx donors had smoking histories. Current tobacco use or more than 5-year weekly marijuana smoking history adversely affected 3-year graft survival. Our findings support the importance of obtaining a detailed donor tobacco and marijuana smoking history.

Conflicts of interest in the context of end of life care for potential organ donors in Australia.

End-of-life (EOL) care has become an integral part of intensive care medicine and includes the exploration of possibilities for deceased organ and tissue donation. Donation physicians are specialist doctors with expertise in EOL processes encompassing organ and tissue donation, who contribute significantly to improvements in organ and tissue donation services in many countries around the world. Donation physicians are usually also intensive care physicians, and thus they may be faced with the dual obligation of caring for dying patients and their families in the intensive care unit (ICU), whilst at the same time ensuring organ and tissue donation is considered according to best practice. This dual obligation poses specific ethical challenges that need to be carefully understood by clinicians, institutions and health care networks. These obligations are complementary and provide a unique skillset to care for dying patients and their families in the ICU. In this paper we review current controversies around EOL care in the ICU, including the use of palliative analgesia and sedation specifically with regards to withdrawal of cardiorespiratory support, the usefulness of the so-called doctrine of double effect to guide ethical decision-making, and the management of potential or perceived conflicts of interest in the context of dual professional roles.

The hospital-based evaluation of laxative prophylaxis in ICU (HELP-ICU): A pilot cluster-crossover randomized clinical trial.

PURPOSE: Prophylactic laxative regimens may prevent constipation but may increase diarrhea and subsequent rectal tube insertion. Our aim was to compare three prophylactic laxative regimens on the rate of rectal tube insertion (primary outcome) and major constipation- or diarrhea-associated complications. MATERIAL AND METHODS: We conducted a cluster-crossover trial. Three pods in a single ICU were each randomized to one of three regimens for four months with rolling cross-over. All mechanically-ventilated and enterally-fed adult patients received either regimen: A) one coloxyl with senna BD from day one; B) two coloxyl with senna +20 ml lactulose BD commencing on day 3; or C) two coloxyl with senna tablets +20 ml lactulose BD commencing on day 6. RESULTS: We enrolled 570 patients (A = 170, B = 205, C = 195) with similar baseline features. Overall, 53 (9.3%) patients received a rectal tube, and insertion rate was not statistically different between the three regimens (A = 12.9%, B = 7.8%, C = 7.7%; p = 0.15). The proportions of patients with other major constipation- or diarrhea-associated complications were similar, as were major patient-centred outcomes. CONCLUSION: Earlier commencement of a prophylactic coloxyl-based laxative regimen (day 1 or 3) did not affect the rates of complications associated with constipation or diarrhea when compared to delayed introduction (day 6).