Relevant bibliographies by topics / Kidney transplant waiting list

Academic literature on the topic 'Kidney transplant waiting list'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Kidney transplant waiting list"

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Minina, M. G., N. A. Ignatov, and S. B. Truhmanov. "Mathematical аnalysis of kidney transplant demand and availability." Russian Journal of Transplantology and Artificial Organs 19, no. 4 (January 30, 2018): 27–33. http://dx.doi.org/10.15825/1995-1191-2017-4-27-33.

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Aim. To analyse the dynamics of the need and availability of donor kidneys for transplantation. To construct the predictions for the number of waiting lists. To analyse the annual number of kidney transplants and the availability ofdonor kidney.Materials and methods. Data base of Eurotransplant International Foundation 1969–2015 has been analyzed. We built a forecast of the kidney waiting list, kidney transplants quantity and availability of kidney grafts up to 2030.Results. Random process analysis of kidney transplant recipients number has shown an increasing linear trend. Growing linear trend is due to the inability to fully meet the increasing need for a kidney transplant. Presence of a regular stochastic component is revealed that provides random fl uctuations in the number of patients waiting for kidney transplantation with a period of 35–40 years. Random process of the number of kidney transplants showed an exponential asymptotic trend growing to a certain saturation value. Estimation of its autocorrelation function showed the absence of regular stochastic components in it. Preservation of 1969–2015 dynamics for the period 2015–2030 allows to suggest a signifi cant increase in the number of people waiting for transplant and a decrease in the availability of donor kidneys.Conclusion. The number of donor kidney transplantations tends to saturation limit, and limit is already lower than the current need for donor kidneys. The increase in the number of kidney transplantation programs and the improvement of organ donation system may lead to a limited increase in annual number of transplants and, possibly, the saturation limit, but not to a qualitative change in the dynamics of reduced availability of donor kidneys. A qualitative change in this dynamics towards increasing accessibility, is possible perhaps through activities that affect factors causing a constant increase in the number of people who need a transplant.
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Lorenz, Elizabeth C., Fernando G. Cosio, Shari L. Bernard, Steven D. Bogard, Brian R. Bjerke, Elizabeth N. Geissler, Steven W. Hanna, et al. "The Relationship Between Frailty and Decreased Physical Performance With Death on the Kidney Transplant Waiting List." Progress in Transplantation 29, no. 2 (March 17, 2019): 108–14. http://dx.doi.org/10.1177/1526924819835803.

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Introduction: Frailty and decreased physical performance are associated with poor outcomes after kidney transplant. Less is known about their relationship with pretransplant outcomes. The aim of this study was to characterize associations between frailty and physical performance with death on the kidney transplant waiting list. Design: Since December 2014, high-risk kidney transplant candidates at our center (age > 59, diabetic and/or history of >3 years dialysis) have undergone frailty and physical performance testing using Fried Criteria and the Short Physical Performance Battery. Results: Between December 2014 and November 2016, 272 high-risk candidates underwent testing and were approved for transplant. Both frailty and physical performance score were significantly associated with death on the waiting list (hazard ratio [HR]: 6.7, confidence interval [CI]: 1.5-30.1; P = .01; HR: 0.8 per 1-point increase, CI: 0.7-1.0; P = .02, respectively). The relationship between frailty, physical performance score, and death on the waiting list appeared to be independent of age, diabetes, or duration of dialysis. Discussion: Frailty and decreased physical performance appear to be independently associated with increased mortality on the kidney transplant waiting list. Further studies are needed to determine whether improving frailty and physical performance prior to transplant can decrease waiting list mortality.
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Ong, Siew Chin, Wai Leng Chow, Saskia van der Erf, Veena Dhanajay Joshi, Jeremy FY Lim, Crystal Lim, Ping Sing Tee, York Moi Lu, and Terence YS Kee. "What Factors Really Matter? Health-related Quality of Life for Patients on Kidney Transplant Waiting List." Annals of the Academy of Medicine, Singapore 42, no. 12 (December 15, 2013): 657–66. http://dx.doi.org/10.47102/annals-acadmedsg.v42n12p657.

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Introduction: Waiting times for kidney transplant are long in Singapore. Health-related quality of life (HRQoL) of patients might be affected as a result of the stress of the long wait and the uncertainty of being called to undergo a surgical operation. This study aimed to measure the HRQoL of patients on the kidney transplant waiting list and to identify factors which could impact on the HRQoL scores in this group of patients.Materials and Methods: This was a cross-sectional study of kidney transplant waiting list patients managed at a tertiary renal unit using the SF-36. A SF-36 normative calculator was used to generate HRQoL scores for the Singapore general population matched with the study cohort’s age, gender and ethnicity. Results: There were 265 respondents with a response rate was 81%. Our study shows that HRQoL scores for the kidney transplant waiting list patients were lower than the population norms across all subscales and were clinically significant for General Health, Role Physical, Bodily Pain, Social Functioning and Mental Component Summary scores. Factors such as being Chinese, married, employed and undergoing haemodialysis predicted better HRQoL scores after adjusting for possible confounders. Age, gender, educational level, household income, history of kidney transplant, duration on the transplant waiting list and years on dialysis did not significantly influence SF-36 across all subscales scores. Conclusion: Kidney transplant waiting list patients had worse HRQoL compared to the general population. Factors such as ethnicity, marital status, employment status, and type of dialysis treatment significantly influenced patients’ perception of their HRQoL. Key words: Dialysis, Kidney failure patients, SF-36
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Sullivan, Catherine M., Kitty V. Barnswell, Kate Greenway, Cindy M. Kamps, Derrick Wilson, Jeffrey M. Albert, Jacqueline Dolata, et al. "Impact of Navigators on First Visit to a Transplant Center, Waitlisting, and Kidney Transplantation." Clinical Journal of the American Society of Nephrology 13, no. 10 (August 22, 2018): 1550–55. http://dx.doi.org/10.2215/cjn.03100318.

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Background and objectivesMany patients with ESKD face barriers in completing the steps required to obtain a transplant. These eight sequential steps are medical suitability, interest in transplant, referral to a transplant center, first visit to center, transplant workup, successful candidate, waiting list or identify living donor, and receive transplant. This study sought to determine the effect of navigators on helping patients complete these steps.Design, setting, participants, & measurementsOur study was a cluster randomized, controlled trial involving 40 hemodialysis facilities and four transplant centers in Ohio, Kentucky, and Indiana from January 1, 2014 to December 31, 2016. Four trained kidney transplant recipients met regularly with patients on hemodialysis at 20 intervention facilities, determined their step in the transplant process, and provided tailored information and assistance in completing that step and subsequent steps. Patients at 20 control facilities continued to receive usual care. Primary study outcomes were waiting list placement and receipt of a deceased or living donor transplant. An exploratory outcome was first visit to a transplant center.ResultsBefore the trial, intervention (1041 patients) and control (836 patients) groups were similar in the proportions of patients who made a first visit to a transplant center, were placed on a waiting list, and received a deceased or living donor transplant. At the end of the trial, intervention and control groups were also similar in first visit (16.1% versus 13.8%; difference, 2.3%; 95% confidence interval, −0.8% to 5.5%), waitlisting (16.3% versus 13.8%; difference, 2.5%; 95% confidence interval, −1.2% to 6.1%), deceased donor transplantation (2.8% versus 2.2%; difference, 0.6%; 95% confidence interval, −0.8% to 2.1%), and living donor transplantation (1.2% versus 1.0%; difference, 0.1%; 95% confidence interval, −0.9% to 1.1%).ConclusionsUse of trained kidney transplant recipients as navigators did not increase first visits to a transplant center, waiting list placement, and receipt of deceased or living donor transplants.
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Tenenbaum, Evelyn M. "Swaps and Chains and Vouchers, Oh My!: Evaluating How Saving More Lives Impacts the Equitable Allocation of Live Donor Kidneys." American Journal of Law & Medicine 44, no. 1 (March 2018): 67–118. http://dx.doi.org/10.1177/0098858818763812.

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Live kidney donation involves a delicate balance between saving the most lives possible and maintaining a transplant system that is fair to the many thousands of patients on the transplant waiting list. Federal law and regulations require that kidney allocation be equitable, but the pressure to save patients subject to ever-lengthening waiting times for a transplant has been swinging the balance toward optimizing utility at the expense of justice.This article traces the progression of innovations created to make optimum use of a patient's own live donors. It starts with the simplest – direct donation by family members – and ends with voucher donations, a very recent and unique innovation because the donor can donate 20 or more years before the intended recipient is expected to need a kidney. In return for the donation, the intended recipient receives a voucher that can be redeemed for a live kidney when it is needed. Other innovations that are discussed include kidney exchanges and list paired donation, which are used to facilitate donor swaps when donor/recipient pairs have incompatible blood types.The discussion of each new innovation shows how the equity issues build on each other and how, with each new innovation, it becomes progressively harder to find an acceptable balance between utility and justice. The article culminates with an analysis of two recent allocation methods that have the potential to save many additional lives, but also affirmatively harm some patients on the deceased donor waiting list by increasing their waiting time for a life-saving kidney. The article concludes that saving additional lives does not justify harming patients on the waiting list unless that harm can be minimized. It also proposes solutions to minimize the harm so these new innovations can equitably perform their intended function of stimulating additional transplants and extending the lives of many transplant patients.
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Novotny, R., J. Chlupac, T. Marada, S. Bloudickova-Rajnochova, H. Vavrinova, L. Janousek, and J. Fronek. "Deceased Donor Renal Transplantation Combined with Bilateral Nephrectomy in a Patient with Tuberous Sclerosis and Renal Failure." Case Reports in Transplantation 2019 (March 6, 2019): 1–5. http://dx.doi.org/10.1155/2019/2172163.

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Introduction. A 27-year-old female patient with known tuberous sclerosis complex (TSC), polycystic kidneys with multiple large bilateral angiomyolipomas, and failing renal functions with prehemodialysis values (urea: 19 mmol/L; creatinine: 317 μmol/L; CKD-EPI 0,27) was admitted to our department for pre-renal transplant evaluation. The patient was placed on the transplant waiting list as the living donor did not pass pretransplant workup and was subsequently contraindicated. Patient was placed on the “cadaverous kidney transplant waiting list”. Method. Computed tomography angiography revealed symptomatic PSA in the right kidney angiomyolipoma (AML). The patient underwent urgent transarterial embolisation of the PSA’s feeding vessel in the right kidney AML. Based on the “kidney transplant waiting list” order patient underwent a bilateral nephrectomy combined with transperitoneal renal allotransplantation of a cadaverous kidney graft through midline laparotomy, appendectomy, and cholecystectomy. Results. Postoperative period was complicated by delayed graft function caused by acute tubular necrosis requiring postoperative hemodialysis. The patient was discharged on the 17th postoperative day with a good renal graft function. Patient’s follow-up is currently 23 months with good graft function (urea: 9 mmol/L; creatinine: 100 μmol/L). Conclusion. Renal transplantation combined with radical nephrectomy provides a definitive treatment for TSC renal manifestations.
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Erdem, Emre, Ahmet Karatas, and Tevfik Ecder. "Factors Affecting Registration on Kidney Transplant Waiting List." Turkish Journal of Nephrology 28, no. 4 (November 5, 2019): 280–85. http://dx.doi.org/10.5152/turkjnephrol.2019.3557.

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Sapiertein Silva, Juliana Feiman, Gustavo Fernandes Ferreira, Marcelo Perosa, Hong Si Nga, and Luis Gustavo Modelli de Andrade. "A machine learning prediction model for waiting time to kidney transplant." PLOS ONE 16, no. 5 (May 20, 2021): e0252069. http://dx.doi.org/10.1371/journal.pone.0252069.

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Background Predicting waiting time for a deceased donor kidney transplant can help patients and clinicians to discuss management and contribute to a more efficient use of resources. This study aimed at developing a predictor model to estimate time on a kidney transplant waiting list using a machine learning approach. Methods A retrospective cohort study including data of patients registered, between January 1, 2000 and December 31, 2017, in the waiting list of São Paulo State Organ Allocation System (SP-OAS) /Brazil. Data were randomly divided into two groups: 75% for training and 25% for testing. A Cox regression model was fitted with deceased donor transplant as the outcome. Sensitivity analyses were performed using different Cox models. Cox hazard ratios were used to develop the risk-prediction equations. Results Of 54,055 records retrieved, 48,153 registries were included in the final analysis. During the study period, approximately 1/3 of the patients were transplanted with a deceased donor. The major characteristics associated with changes in the likelihood of transplantation were age, subregion, cPRA, and frequency of HLA-DR, -B and -A. The model developed was able to predict waiting time with good agreement in internal validation (c-index = 0.70). Conclusion The kidney transplant waiting time calculator developed shows good predictive performance and provides information that may be valuable in assisting candidates and their providers. Moreover, it can significantly improve the use of economic resources and the management of patient care before transplant.
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Maccarone, D., I. Parzanese, L. Caniglia, F. Pisani, C. Cervelli, F. Papola, M. A. Fioroni, A. Famulari, and D. Adorno. "Waiting List for Kidney Transplants." Transplantation Proceedings 37, no. 6 (July 2005): 2419–20. http://dx.doi.org/10.1016/j.transproceed.2005.06.023.

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Mekeel, Kristin L., Shane M. Daley, Paul E. Andrews, Adyr A. Moss, R. L. Heilman, Marek J. Mazur, Harini A. Chakkera, Khalid Hamawi, David C. Mulligan, and K. Sudhakar Reddy. "Successful Transplantation of a Split Crossed Fused Ectopic Kidney into a Patient with End-Stage Renal Disease." Journal of Transplantation 2010 (2010): 1–5. http://dx.doi.org/10.1155/2010/383972.

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Potential donors with congenital renal anomalies but normal renal function are often overlooked because of a possible increase in technical difficulty and complications associated with the surgery. However, as the waiting list for a deceased donor kidney transplant continues to grow, it is important to consider these kidneys for potential transplant. This paper describes the procurement of a crossed fused ectopic kidney, and subsequent parenchymal transection prior to transplantation as part of a combined simultaneous kidney pancreas transplant. The transplant was uncomplicated, and the graft had immediate function. The patient is now two years from transplant with excellent function.
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Dissertations / Theses on the topic "Kidney transplant waiting list"

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Huml, Anne M. "Outcomes of Deceased Donor Kidney Offers to Patients at the Top of the Waiting List." Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1512678441955104.

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Alfredsson, Malin, and Amanda Johansson. "I väntan på ett nytt hjärta." Thesis, Högskolan i Skövde, Institutionen för hälsa och lärande, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11721.

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Background: In Sweden the primary reason for heart transplants is severe heart failure. Heart transplants are performed both at Sahlgrenska University hospital and at Skånes University hospital. Patient undergoing several extensive investigations before he or she will be considered for the waiting list. Primary factor for receiving a heart is first of all the patient who is in the greatest need of a new heart and the patient most suited to receive the donated heart. Previous studies show that patients feel the waiting time to be unpredictable. Aim: To describe patients’ experiences of the time before a heart transplant. Method: Qualitative content analysis was used as the analysis method and seven blogs were applied. Results: Life is seen from a new and different perspective. A common factor for patients with heart failure was the physical limitation they felt. Life stopped for a while, and a waiting to regain “life” grew strong. Family and nursing staff was thought to play an important role. To maintain a positive attitude was thought to be a criterion to manage the anticipations. Conclusion: A patient waiting for a heart transplant experiences a change in their life world. To allow proper care it is important that the nurse recognizes this change and acknowledge it.
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Gustafsson, Petra, and Teresia Hultkvist. "I väntan på en ny njure : Individens upplevelse." Thesis, Högskolan i Halmstad, Sektionen för hälsa och samhälle (HOS), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-25515.

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Kronisk njursvikt ökar varje år och vid terminal njurinsufficiens ses njurtransplantation som förstaval av behandling. Behovet av donerade njurar är större än tillgången, vilket leder till en lång väntan för individen. Studiens syfte var att beskriva individers upplevelser i väntan på en njurtransplantation. Metoden var en litteraturstudien där tio vetenskapliga artiklar granskades och analyserades. I analysen framkom tre teman som utgjorde resultatet: behandling för att överleva där dialysbehandlingen sågs som en begränsning i livet och gjorde det svårt att leva som dem gjort tidigare, känna hopp där en transplantation var något att hoppas på, ett sätt att ta sig ur dialysen och få tillbaka sitt gamla liv, samt känna hopplöshet där rädsla för att njurtransplantationen aldrig skulle bli av och känslor av att vara på is i väntan uppkom. Slutsatsen är att behandlingen påverkade upplevelsen av väntan och ledde till att livet var på is, det centrala i livet var att få en transplantation som skulle förbättra livet. För att underlätta situationen för individer i väntan på transplantation finns det ett behov av att det forskas på hur sjuksköterskans bemötande kan stötta individer i väntan.
Chronic kidney failure is increasing every year and at end-stage renal disease kidney transplantation is seen as the first choice of treatment. The need for donated kidneys is greater than the supply, leading to a long wait for the individual. The study aimed to describe individuals' experiences while waiting for a kidney transplant. The method was a literature study where ten scientific articles were reviewed and analyzed. The analysis revealed three themes that formed the result: treatment in order to survive where the dialysis treatment was seen as a limitation in life and made ​​it difficult to live as they did before, feel hope where the transplantation was something to hope for, a way to get out of dialysis and regain the old life, and feel hopelessness where fear that the kidney transplant would never happen and feelings of being on hold while waiting arose. The conclusion is that the treatment affected the experience of waiting and it led to the feeling of being on hold, the central focus of life was the transplant that would improve their lives. To improve the situation of people waiting for a transplant, there is a need for research on how nurse's attitude can support individuals in anticipation.
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Hjort, Jennifer, and Emelie Olsson. "I väntan på frihet : En litteraturbaserad studie som belyser dialysbehandlade patienters upplevelser av att vänta på en njurtransplantation." Thesis, Högskolan Väst, Avdelningen för omvårdnad - grundnivå, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-11277.

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Background: With an increased understanding of dialysis-treated patients' experiences of waiting for a kidney transplant, the nurses can adjust their care based on patient's individual needs. A changed life situation that requires regular treatment and limiting the patient in their daily life makes it important that the nurse understands the patient's mood and is there to support. Aim: The aim of this study was to highlight the experiences of dialysis-treated patients waiting for a kidney transplant. Method: A literature study based on qualitative research. Friberg ́s five-step model was used for analyze of the articles and results in three main themes and six sub- themes. Results: This result showed that dialysis-treated patients awaiting a kidney transplant experienced both physical and mental barriers and stress. They experienced limitations in daily life as loss of freedom and financial difficulties. The patients' feelings oscillate between hope and uncertainty like an emotional roller coaster and they find support in their relatives, healthcare professionals or in their religion. Conclusion: The experiences of waiting for a kidney transplant are relatively similar, but strategies to get trough this process varies. Common for all patients were that it was a demanding and stressful time. Therefore it is important that nurses pay attention and adapt the care for each individual.
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Hansson, Josefine, and Nina Tengdahl. "Patienters upplevelser i väntan på livsviktigt organ : En litteraturstudie." Thesis, Högskolan Väst, Avdelningen för omvårdnad - grundnivå, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-15684.

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Background: Organ transplantation is an established form of treatment applied worldwide, which saves many lives. There is however, an imbalance between supply and demand for organs, which means that the patients on the waiting list for organs often have to stay there for a long time. In worst case, they die before a suitable organ is found. Patients waiting for vital organs are therefore in a very exposed situation and this causes many feelings. Aim: The aim of the study was to describe patients´ experiences while waiting for vital organs. Method: A literature based study analysing twelve qualitative studies, that based onpatient interviews describe the patients' experiences while waiting for vital organs. Results: The result showed that patients felt bound, both physically and mentally. They experienced anxiety and stress during the long wait for an organ but had also hope forrecovery and wished to be able to return to a normal life. Information and support were an important part of getting through the wait. Two themes appeared during the analysis; To hope and to understand, the mixed emotions and To be bound and to be in need. Conclusion: All patients' experiences were individual, although there are many similarities in how they experienced waiting for vital organs, especially regarding emotions. Hope was a prerequisite for patients while waiting for a vital organ, as it servesas a driving force to hold out during their uncertain life situation.
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Måttgård, Anna, and Tiina Stridh. "I väntans tider : En litteraturstudie om patientens upplevelse av att vänta på en njurtransplantation." Thesis, Högskolan i Halmstad, Akademin för hälsa och välfärd, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-43428.

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Bakgrund: Njurtransplantation ses som den främsta behandlingsmetoden vid terminal njursvikt, då den ökar både livskvalitet och livslängd för patienten jämfört med dialys. Prevalensen av njursvikt ökar i hela världen och efterfrågan av njurar möter inte behovet. Syfte: Syftet med studien var att belysa patientens upplevelse i väntan på en njurtransplantation. Metod: Studien genomfördes som en litteraturstudie med induktiv ansats, för att bilda en uppfattning om hur forskningsläget ser ut inom valt område. Resultat: Resultatet baseras på nio kvalitativa vetenskapliga artiklar från sju olika länder, där fyra kategorier framkom, Ett liv som begränsar, Förväntningar, Glädje och sorg samt Behov och betydelse av stöd. Gemensamt för samtliga artiklar var att livet begränsades i väntan på en njurtransplantation, vilket påverkade patienterna både emotionellt och fysiologiskt. Ju längre tid som patienterna befann sig på väntelistan minskade hoppet om en ny njure, och känslan av frustration samt oro ökade. Konklusion: Litteraturstudien visar på att behovet av information från sjuksköterskan till patienter som väntade på en njurtransplantation var stort. Information skapade en känsla av delaktighet i vården som i sin tur bevarade patientens hopp, samt minskade upplevelsen av oro.
Background: Kidney transplantation is seen as the main treatment method for terminal kidney failure as it increases both quality of life and longevity of the patient compared to dialysis. The prevalence of kidney failure is increasing worldwide and the demand for kidneys is not meeting the need. Aim: The aim of the study was to highlight the patient's experience while waiting for a kidney transplant. Method: The study was conducted as a literature study with an inductive approach to form an idea of what the research situation looks like in the chosen area. Result: The result is based on nine qualitative articles from seven different countries where four categories emerged: A life that limits, Expectations, Joy and sorrow and Need and importance of support. Common to all articles was that life was limited while waiting for a kidney transplant, which affected the patients both emotionally and physiologically. The longer the patients were on the waiting list, the less hope for a new kidney diminished and the feeling of frustration and anxiety increased. Conclusion: The literature study shows that the need for information from the nurse to patients waiting for a kidney transplant was great. Information created a sense of participation in care which in turn preserved the patient's hope and reduced the experience of anxiety.
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Khanal, Namrata. "Identification of factors affecting access to Kidney transplant waiting list and outcomes among Indigenous Australians." Thesis, 2021. https://hdl.handle.net/2440/133491.

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Improving access to the waiting list and kidney transplantation is one of the important factors in improving poor outcomes faced by Aboriginal and Torres Strait Islanders (Indigenous) Australians with end stage kidney disease (ESKD). This thesis was designed to address the following specific aims: · To identify the time to placement on the transplant waiting list and time to transplantation among Indigenous Australians as compared to non-indigenous Australians · To examine predictors of placement on the transplant waiting list (and nonlisting) for kidney transplantation utilising existing data from Australia and New Zealand Dialysis and Transplant Registry (ANZDATA), which holds waiting list data from the National Organ Matching System. · To examine relationships between Indigenous patients’ facility haemodialysis attendance and the chance of placement on the transplant waiting list, transplantation and transplant outcomes. · To identify risk factors predictive of good vs poor outcome following transplantation among Indigenous recipients, through quantitative studies utilising existing ANZDATA Registry data Research conducted for this thesis confirmed the increased use of haemodialysis along with low numbers of kidney transplantation among Indigenous Australians as compared to non-indigenous Australians. Lower numbers of kidney transplant among Indigenous Australians were further explored to find whether this related to placement on the transplant waiting list and to define the groups who were affected by this. A reduction in placement on the transplant waiting list among Indigenous Australians more so among people from remote areas was identified. A significant gap in transplantation among Indigenous Australians existed in and after the second year on the transplant waiting list. For this and other research conducted in this thesis, remoteness was defined by Australian Bureau of Statistics (ABS) remoteness categories, by linking ABS postcode of residence concordance data with the postcode recorded in the ANZDATA record for the start of RRT. Research conducted to explore the association of facility dialysis attendance in Indigenous Australians with ESKD and placement on the transplant waiting list and transplant outcomes was limited by the low number of outcomes measured. An association between placement on the transplant waiting list and transplant outcomes was not evident; however, the chance of transplantation was low among participants with dialysis attendance ≤2.5 sessions/week. Identification of risk factors predictive of good vs poor outcome following transplantation among Indigenous recipients was conducted by linkage of hospitalderived data with data from the Registry. A cohort study comparing pre and posttransplant hospitalisation among Indigenous kidney transplant recipients of South Australia and Northern Territory found increased rates of hospital admissions, prolonged hospital stay, and increased rates of infection more so in the first year post-transplant. Half of the study participants in our study cohort had delayed graft function. Total ischaemia time was more than 16 hours in half of the study population. Finally, a retrospective case-control study among Indigenous transplant recipients, to explore specific risks factors in the pre-transplant period, showed increased rates of hospitalisation to be predictive of early graft loss. No correlation was found between other studied factors and graft loss (including patients’ death). More studies, including studies to understand pharmacokinetics and pharmacodynamics of immunosuppression in Indigenous transplant recipients, are required to look for other factors not examined here. Hospitalisation in the pretransplant period needs further exploration and measures identified to reduce these events and complications which follow. Policies need to focus in the first year posttransplant to reduce the burden of hospitalisation. Individually tailored, evidencebased protocols are required to improve the management of post-transplant infections, which may include consideration of broad anti-infective agents. Finding ways to reduce ischaemia time and delayed graft function as a result of this factor need consideration. Development of algorithms and outcome predicting tools taking into account pretransplant hospitalisation into the equation may be helpful. Strategies need to be developed to increase placement on the transplant waiting list and transplant rates.
Thesis (Ph.D.) -- University of Adelaide, School of Diploma of Population Health, 2020
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Xavier, Carolina Teles de Carvalho Caldas. "Joint management models of kidney exchange program and deceased donor waiting list." Master's thesis, 2019. http://hdl.handle.net/10451/40495.

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Tese de mestrado, Estatística e Investigação Operacional (Investigação Operacional) Universidade de Lisboa, Faculdade de Ciências, 2019
Pacientes com problemas renais que levem a insuficiência renal têm de se submeter a hemodiálise, um tratamento que substitui a função do rim e filtra as substâncias tóxicas do sangue. É um tratamento que envolve bastante tempo e que tem de ser repetido várias vezes por semana e como tal, dá uma qualidade de vida baixa aos pacientes. Como alternativa a este tratamento os doentes podem fazer um transplante renal e para isso podem ser transplantados através de um dador vivo ou cadáver. Um dador vivo é alguém que geralmente conhece o paciente e quer doar um dos seus dois rins saudáveis enquanto o dador cadáver é alguém que quando falece pode ser considerado um potencial dador de órgãos, de-pendendo das circunstancias da sua morte. A lista de espera para transplantação através de dadores ca-dáver normalmente é bastante longa e demorada, por isso aconselha-se sempre o paciente a tentar arran-jar um dador vivo compatível. Como por vezes é bastante difícil arranjar alguém compatível, criou-se o programa de doação renal cruzada. Este programa permite criar trocas entre pares de pacientes-dadores incompatíveis de forma a ar-ranjar compatibilidades. Assim, o dador de um par pode doar um rim a um paciente de outro, desde que o seu paciente receba um transplante de um dador de outro par. Desta forma criam-se ciclos onde se pretendem maximizar o número de transplantes. Ao longo dos anos foram-se criando várias variantes deste programa de doação renal e foram efe-tuados diversos estudos que pretendem aumentar o número de transplantes e ao mesmo tempo reduzir o tempo de espera dos pacientes, reduzindo assim o tamanho da lista de espera, mas este trabalho foca-se nos modelos propostos por Haynes et al. (2017). Estes três modelos misturam o conceito de troca entre pares incompatíveis e transplantes de dadores cadáveres. Desta forma podem-se criar cadeias iniciadas por dadores cadáveres onde o rim destes é transplantado para um paciente que se encontrava no programa com o seu dador incompatível. De se-guida o seu dador doa para o paciente de outro par e assim sucessivamente até que o dador do último par doa de volta para a lista de espera, para um paciente que não tinha um dador vivo e que portanto não estava no programa. Os modelos diferem principalmente quanto à prioridade que se dá aos pacientes e pela ordem com que se efetuam os transplantes. O simulador criado por Santos et al. (2018) foi adaptado para simular a utilização destes modelos numa população também criada pelo simulador e foram analisados e comparados de acordo com a per-centagem de transplantes feita e com o tempo de espera médio e máximo para pacientes de acordo com o seu tipo de sangue e PRA (Panel-active antibody). As maiores conclusões que se retiraram são que existe um benefício enorme em ter um dador vivo disponível para doar um rim e que, na maior parte dos casos, estes três modelos são mais vantajosos do que usar um modelo que separa a gestão do pro-grama de doação renal cruzada e a lista de espera de dadores cadáveres.
Patients with kidney diseases leading to kidney failure have to undergo hemodialysis, a treatment that replaces kidney function and filters out toxic blood substances. It is a treatment that involves a lot of time and that must be repeated several times a week and as such, gives a low quality of life to patients. As an alternative to this treatment, patients can have a kidney transplant and can be transplanted through a living donor or a deceased one. A living donor is someone who usually knows the patient and wants to donate one of his two healthy kidneys while a deceased donor is someone who, when dies, can be considered a potential organ donor, depending on the circumstances of his/her death. The waitlist for transplantation by deceased donors can usually be quite long in terms of patients and waiting time, so it is always advisable for the patient to try to find a compatible living donor. As it is sometimes quite difficult to find a match, a kidney exchange program (KEP) was created. This program allows to create exchanges between incompatible patient-donor pairs in order to achieve compatibilities. Thus, the donor of one pair can donate a kidney to a patient of another, as long as his/her patient receives a transplant from a donor of another pair. This creates cycles where the num-ber of transplants aims to be maximized. Over the years, several variants of the KEP have been created and several studies have been con-ducted to increase the number of transplants and at the same time reduce the patients’ waiting time, thus reducing the size of the waiting list, but this work focuses on the models proposed by Haynes et al. (2017). These three models mix the concepts of incompatible pair exchange and deceased donor transplan-tation. Therefore, chains initiated by deceased donors can be created where the kidney is transplanted to a patient who was in the program with the incompatible donor. Then the incompatible donor donates to the patient of another pair and so on until the donor of the last pair donates back to the waitlist, to a patient who did not have a living donor and consequently was not in the program. The models differ mainly in the priority given to the patients and in the order in which the transplants are performed. The simulator created by Santos et al. (2018) was adapted to simulate the use of these models in a population also created by the simulator, being analyzed and compared according to the percentage of transplants performed and the mean and maximum waiting time for patients according to their blood type and PRA (Panel-active antibody). The main conclusions drawn were that there is an enormous benefit in having a living donor available to donate a kidney and that, in most cases, these three models are more advantageous than using a model that separates the management of the KEP and the deceased donors waitlist.
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Books on the topic "Kidney transplant waiting list"

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Ather, Sameer, Ayman Farag, Vikas Bhatia, and Fadi G. Hage. Role of Imaging in Chronic Kidney Disease. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199392094.003.0017.

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Cardiovascular disease is highly prevalent in patients with chronic kidney disease (CKD) and is the biggest contributor of death in these patients. Myocardial perfusion imaging (MPI) is a validated tool for diagnosing coronary artery disease (CAD) and for predicting short and long term prognosis in this patient population. Non-invasive stress imaging, with MPI or other imaging modalities, is widely used for risk stratification in patients with end-stage renal disease (ESRD) being evaluated for kidney transplantation due to the paucity of donor organs and the high cardiovascular risk of patients on the transplant waiting list. In this Chapter we will review the data on diagnostic accuracy and risk stratification using MPI in patients with CKD and ESRD highlighting the special challenges that are unique to this population. We will also discuss novel indicators that have been used in these patients to improve risk stratification.
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Burbano-Vera, Nelson, and Annette Y. Schure. Pediatric Heart Transplantation. Edited by Kirk Lalwani, Ira Todd Cohen, Ellen Y. Choi, and Vidya T. Raman. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190685157.003.0013.

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Pediatric heart transplantation is a well-established treatment for complex congenital heart defects or severe heart failure in children of all ages. Sophisticated bridging therapies (ventricular assist devices, home inotropic support, etc.) and improved survival rates have increased the likelihood for pediatric anesthesiologists to encounter patients on the waiting list or at various times after heart transplantation, not only in the cardiac catheterization suite or the operating rooms but also for other diagnostic studies or noncardiac surgery. A thorough understanding of indications, altered physiology, and specific challenges is essential for the safe anesthetic management of these patients. This chapter highlights important steps during the preoperative evaluation, typical intraoperative problems, and management strategies for pediatric heart transplant patients.
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Book chapters on the topic "Kidney transplant waiting list"

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Kasiske, B. L., W. London, and M. Ellison. "Factors influencing early placement on the kidney transplant waiting list in the United States." In Organ Allocation, 135–37. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-4984-6_15.

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Salvadori, M., L. Comparini, E. Bertoni, S. Bandini, G. Mancini, F. Martinelli, P. Tosi, G. Nicita, and R. Lenzi. "Aging on the waiting list: should it be a further criterion for cadaver kidney allocation?" In Transplant International Official Journal of the European Society for Organ Transplantation, 114–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77423-2_37.

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Roth, David, and Roy Bloom. "Selection and Management of Hepatitis C Virus-Infected Patients for the Kidney Transplant Waiting List." In Hepatitis C in Renal Disease, Hemodialysis and Transplantation, 66–76. Basel: KARGER, 2012. http://dx.doi.org/10.1159/000333774.

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Zenios, S. A., G. M. Chertow, and L. M. Wein. "Allocation of kidneys to patients on the transplant waiting list: a simulation-based policy model." In Organ Allocation, 133. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-4984-6_14.

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Pham, Phuong-Thu T., Phuong-Chi T. Pham, and Gabriel M. Danovitch. "Waiting List Management for Kidney Transplantation." In Textbook of Organ Transplantation, 452–61. Oxford, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118873434.ch37.

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Romano, P., B. Boutin, J. L. Golmard, and D. Houssin. "The organ transplant waiting list in France." In Organ Allocation, 139–43. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-4984-6_16.

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Suc, B. "The French liver transplant waiting list: 5-year analysis (1992–1996)." In Organ Allocation, 97–116. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-4984-6_12.

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Rehsmann, Julia. "Lists in Flux, Lives on Hold? Technologies of Waiting in Liver Transplant Medicine." In Immobility and Medicine, 15–37. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4976-2_2.

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Abstract This chapter examines waiting in liver transplant medicine, a field characterized by immediacy, urgency and delay. By taking a close look at waiting lists, allocating algorithms and mobile phones, it engages with the technological and material features that generate, shape and mediate waiting and hope when livers fail. Based on ethnographic research in Germany, I analyse the powerful workings of ephemeral waiting lists and discuss how these lists in flux put the lives of those looking for an organ on hold. By doing so, I contribute to understandings of how immobilities are produced and their affective dimensions. I approach waiting lists for liver transplants as part of transplant medicine’s invisible digital infrastructure and contend that the mobile phone becomes a critical feature therein, significantly affecting those waiting for a transplant. Firstly, I discuss the wait list as bureaucratic technology, marker of eligibility and symbol for patients’ chances to receive live-saving treatment. I then show, secondly, how complex algorithms create these ephemeral lists. Thirdly, I turn in more detail to the experiences of a patient listed for a transplant. I demonstrate how, in this time of waiting-in-uncertainty, the mobile phone becomes an extension and tangible manifestation of this ephemeral list as well as a reminder of one’s dependency on medical care. I show how the mobile phone transforms from a mere communication tool to an ambivalent marker of people’s simultaneous mobility and immobility during their wait.
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Bertoni, E., P. L. Tosi, S. Bandini, A. Rosati, F. Pradella, P. Mattiuz, G. Taddei, et al. "Organ Shortage and a Local Waiting List Allow a Local Kidney Allocation Policy to Ensure both Short Ischemia Time and Good HLA-A,B,DR Matching." In Organ Shortage: The Solutions, 329. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0201-8_44.

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Gershun, Martha, and John D. Lantos. "Complexities of Increasing Organ Supply." In Kidney to Share, 98–100. Cornell University Press, 2021. http://dx.doi.org/10.7591/cornell/9781501755439.003.0013.

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This chapter investigates why the various matching and swapping arrangements are hard to implement, arguing it is difficult to schedule even one transplant in ways that are convenient for the donor and meet the needs of the recipient. The chapter analyses the difficulties of this complicated exchange, especially if there are two or more transplants. With such awareness, the chapter reviews the innovative program that was recently initiated at the University of California, Los Angeles Medical Center, which allows people to donate a kidney today in exchange for a voucher that a designated recipient can redeem for a kidney in the future if and when a kidney is needed. Even though the new and more complex elaboration of paired exchanges or vouchers increased the pool of people who can donate and increased the chances for people on transplant waiting lists to get an organ, the chapter explores how they begin to look more and more like markets. And, in most countries, markets in organs are illegal.
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Conference papers on the topic "Kidney transplant waiting list"

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Mattei, Nicholas, Abdallah Saffidine, and Toby Walsh. "Mechanisms for Online Organ Matching." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/49.

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Matching donations from deceased patients to patients on the waiting list account for over 85\% of all kidney transplants performed in Australia. We propose a simple mechanisms to perform this matching and compare this new mechanism with the more complex algorithm currently under consideration by the Organ and Tissue Authority in Australia. We perform a number of experiments using real world data provided by the Organ and Tissue Authority of Australia. We find that our simple mechanism is more efficient and fairer in practice compared to the other mechanism currently under consideration.
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"LIVER TRANSPLANT WAITING LIST SIMULATION - An Agent based Model." In 3rd International Conference on Agents and Artificial Intelligence. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003188904620468.

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Garrido, Alba Gomez, Bernat Planas, Antonieta Falco, Patricia Launois, Vicenta Pujol, Marta Sabate, Anna Mayer, Irene Bello, Judith Sacanell, and Antonio Roman. "Does assessing frailty in lung transplant candidates on the waiting list provide information?" In ERS International Congress 2021 abstracts. European Respiratory Society, 2021. http://dx.doi.org/10.1183/13993003.congress-2021.oa2911.

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Ritschl, P., L. Wiering, B. Globke, W. Schöning, G. Lurje, M. Schmelzle, J. Pratschke, and R. Öllinger. "MELD-based liver allocation deteriorates liver transplant outcome and waiting list mortality in Germany." In Viszeralmedizin 2021 Gemeinsame Jahrestagung Deutsche Gesellschaft für Gastroenterologie, Verdauungs- und Stoffwechselkrankheiten (DGVS), Sektion Endoskopie der DGVS, Deutsche Gesellschaft für Allgemein und Viszeralchirurgie (DGAV). Georg Thieme Verlag KG, 2021. http://dx.doi.org/10.1055/s-0041-1733643.

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Ritschl, P., L. Wiering, B. Globke, W. Schöning, G. Lurje, M. Schmelzle, J. Pratschke, and R. Öllinger. "MELD-based liver allocation deteriorates liver transplant outcome and waiting list mortality in Germany." In Viszeralmedizin 2021 Gemeinsame Jahrestagung Deutsche Gesellschaft für Gastroenterologie, Verdauungs- und Stoffwechselkrankheiten (DGVS), Sektion Endoskopie der DGVS, Deutsche Gesellschaft für Allgemein und Viszeralchirurgie (DGAV). Georg Thieme Verlag KG, 2021. http://dx.doi.org/10.1055/s-0041-1733643.

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Durvasula, Naveen, Aravind Srinivasan, and John Dickerson. "Forecasting Patient Outcomes in Kidney Exchange." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/701.

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Kidney exchanges allow patients with end-stage renal disease to find a lifesaving living donor by way of an organized market. However, not all patients are equally easy to match, nor are all donor organs of equal quality---some patients are matched within weeks, while others may wait for years with no match offers at all. We propose the first decision-support tool for kidney exchange that takes as input the biological features of a patient-donor pair, and returns (i) the probability of being matched prior to expiry, and (conditioned on a match outcome), (ii) the waiting time for and (iii) the organ quality of the matched transplant. This information may be used to inform medical and insurance decisions. We predict all quantities (i, ii, iii) exclusively from match records that are readily available in any kidney exchange using a quantile random forest approach. To evaluate our approach, we developed two state-of-the-art realistic simulators based on data from the United Network for Organ Sharing that sample from the training and test distribution for these learning tasks---in our application these distributions are distinct. We analyze distributional shift through a theoretical lens, and show that the two distributions converge as the kidney exchange nears steady-state. We then show that our approach produces clinically-promising estimates using simulated data. Finally, we show how our approach, in conjunction with tools from the model explainability literature, can be used to calibrate and detect bias in matching policies.
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