Results 31 to 40 of about 2,720,585 (409)

Decision Support System for Renal Transplantation [PDF]

In: Proceedings of the 2018 IISE Annual Conference: 2018; Orlando: IISE; 2018: 431-436, 2018
The burgeoning need for kidney transplantation mandates immediate attention. Mismatch of deceased donor-recipient kidney leads to post-transplant death. To ensure ideal kidney donor-recipient match and minimize post-transplant deaths, the paper develops a prediction model that identifies factors that determine the probability of success of renal ...
arxiv   +1 more source

Diabetic microangiopathy in Type 1 (insulin-dependent) diabetic patients after successful pancreatic and kidney or solitary kidney transplantation [PDF]

, 1991
To evaluate the beneficial effect of pancreatic grafting on peripheral microcirculation and long-term clinical outcome, we compared data of 28 Type 1 (insulin-dependent) diabetic patients either given a pancreatic and kidney graft simultaneously or given
Abendroth, D., Illner, Wolf-Dieter, Land, Walter, Landgraf, R., Schmand, J.   +4 more
core   +1 more source

Islet transplantation in seven patients with type 1 diabetes mellitus using a glucocorticoid-free immunosuppressive regimen.

New England Journal of Medicine, 2000
BACKGROUND Registry data on patients with type 1 diabetes mellitus who undergo pancreatic islet transplantation indicate that only 8 percent are free of the need for insulin therapy at one year.
A. M. Shapiro, J. Lakey, E. Ryan, G. Korbutt, E. Toth, G. Warnock, N. Kneteman, R. Rajotte   +7 more
semanticscholar   +1 more source

Covid-19 and Solid Organ Transplantation: A Review Article.

Transplantation, 2020
The coronavirus pandemic has significantly impacted solid organ transplantation (SOT). Early in the outbreak period, transplant societies recommended suspending living kidney transplant programs in communities with widespread transmission to avoid ...
Y. Azzi, Rachel Bartash, J. Scalea, P. Loarte-Campos, E. Akalin   +4 more
semanticscholar   +1 more source

The clinical spectrum of SMA‐PME and in vitro normalization of its cellular ceramide profile

Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1941-1952, December 2022., 2022
Abstract Objective The objectives of this study were to define the clinical and biochemical spectrum of spinal muscular atrophy with progressive myoclonic epilepsy (SMA‐PME) and to determine if aberrant cellular ceramide accumulation could be normalized by enzyme replacement.
Michelle M. Lee, Graeme S. V. McDowell, Darryl C. De Vivo, Daniel Friedman, Samuel F. Berkovic, Maria Spanou, Argirios Dinopoulos, Katheryn Grand, Pedro A. Sanchez‐Lara, Michelle Allen‐Sharpley, Jodi Warman‐Chardon, Alexander Solyom, Thierry Levade, Edward H. Schuchman, Steffany A. L. Bennett, David A. Dyment, Toni S. Pearson   +16 more
wiley   +1 more source

Sociodemographic factors and patient perceptions are associated with attitudes to kidney transplantation among haemodialysis patients [PDF]

, 2008
Background. Treatment decisions made by patients with chronic kidney disease are crucial in the renal transplantation process. These decisions are influenced, amongst other factors, by attitudes towards different treatment options, which are modulated by
A. Kovacs, A. Marton, Ajzen, Alexander, Alexander, Bloembergen, E. P. Vamos, Eggers, Eggers, Epstein, Evans, G. Csepanyi, Gaylin, Gordon, Holley, I. Mucsi, Idler, J. Rethelyi, Jassal, Jylha, Kasiske, Klassen, Kranenburg, M. Novak, M. Z. Molnar, M. Zambo, Wolfe, Wolfe, Z. Nemeth   +28 more
core   +1 more source

Recognizing early MRI signs (or their absence) is crucial in diagnosing metachromatic leukodystrophy

Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1999-2009, December 2022., 2022
Abstract Objectives Metachromatic leukodystrophy (MLD) has characteristic white matter (WM) changes on brain MRI, which often trigger biochemical and genetic confirmation of the diagnosis. In early or pre‐symptomatic disease stages, these typical MRI changes might be absent, hampering early diagnosis.
Daphne H. Schoenmakers, Shanice Beerepoot, Ingeborg Krägeloh‐Mann, Saskia Elgün, Benjamin Bender, Marjo S. van der Knaap, Nicole I. Wolf, Samuel Groeschel   +7 more
wiley   +1 more source

Evaluation of protocol before transplantation and after reperfusion biopsies from human orthotopic liver allografts: Considerations of preservation and early immunological injury [PDF]

, 1990
Light microscopic, immunohistochemical and ultrastructural analysis of protocol before transplantation and after reperfusion biopsy specimens from 87 randomly selected patients was performed to assess the contribution of preservation and immunological ...
Bassi, Bassi, Belzer, Christoffersen, Davies, Demetris, Demetris, Fraser, Fung, Gordon, Gubernatis, Gugenheim, Gugenheim, Houssin, Hsu, Iwatsuki, Keller, Knechtle, Lemasters, Makowka, Marotto, Matzger, McKeown, Miyata, Moore, Otto, Paulsen, Pulford, Rappaport, Richards, Russo, Shaw, Sinclair, Starzl, Todo, Todo, van Woerden, Wardle, Yanaga, Yokoyama   +39 more
core   +1 more source

Global Survey of Corneal Transplantation and Eye Banking.

JAMA ophthalmology, 2016
IMPORTANCE Corneal transplantation restores visual function when visual impairment caused by a corneal disease becomes too severe. It is considered the world's most frequent type of transplantation, but, to our knowledge, there are no exhaustive data ...
P. Gain, R. Jullienne, Zhiguo He, M. Aldossary, S. Acquart, F. Cognasse, G. Thuret   +6 more
semanticscholar   +1 more source

A predictive model for kidney transplant graft survival using machine learning [PDF]

4th International Conference on Computer Science and Information Technology (COMIT 2020), November 28-29, 2020, Dubai, UAE. ISBN: 978-1-925953-30-5. Volume 10, Number 16, 2020
Kidney transplantation is the best treatment for end-stage renal failure patients. The predominant method used for kidney quality assessment is the Cox regression-based, kidney donor risk index. A machine learning method may provide improved prediction of transplant outcomes and help decision-making. A popular tree-based machine learning method, random
arxiv   +1 more source