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Diabetes Mellitus and Prediabetes on Kidney Transplant Waiting List- Prevalence, Metabolic Phenotyping and Risk Stratification Approach

BACKGROUND: Despite a significant prognostic impact, little is known about disturbances in glucose metabolism among kidney transplant candidates. We assess the prevalence of diabetes mellitus (DM) and prediabetes on kidney transplant waiting list, its underlying pathophysiology and propose an approa...

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Autores principales: Guthoff, Martina, Vosseler, Dorothea, Langanke, Julia, Nadalin, Silvio, Königsrainer, Alfred, Häring, Hans-Ulrich, Fritsche, Andreas, Heyne, Nils
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4580460/
https://www.ncbi.nlm.nih.gov/pubmed/26398489
http://dx.doi.org/10.1371/journal.pone.0134971
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author Guthoff, Martina
Vosseler, Dorothea
Langanke, Julia
Nadalin, Silvio
Königsrainer, Alfred
Häring, Hans-Ulrich
Fritsche, Andreas
Heyne, Nils
author_facet Guthoff, Martina
Vosseler, Dorothea
Langanke, Julia
Nadalin, Silvio
Königsrainer, Alfred
Häring, Hans-Ulrich
Fritsche, Andreas
Heyne, Nils
author_sort Guthoff, Martina
collection PubMed
description BACKGROUND: Despite a significant prognostic impact, little is known about disturbances in glucose metabolism among kidney transplant candidates. We assess the prevalence of diabetes mellitus (DM) and prediabetes on kidney transplant waiting list, its underlying pathophysiology and propose an approach for individual risk stratification. METHODS: All patients on active kidney transplant waiting list of a large European university hospital transplant center were metabolically phenotyped. RESULTS: Of 138 patients, 76 (55%) had disturbances in glucose metabolism. 22% of patients had known DM, 3% were newly diagnosed. 30% were detected to have prediabetes. Insulin sensitivity and-secretion indices allowed for identification of underlying pathophysiology and risk factors. Age independently affected insulin secretion, resulting in a relative risk for prediabetes of 2.95 (95%CI 1.38–4.83) with a cut-off at 48 years. Body mass index independently affected insulin sensitivity as a continuous variable. CONCLUSIONS: The prevalence of DM or prediabetes on kidney transplant waiting list is as high as 55%, with more than one third of patients previously undiagnosed. Oral glucose tolerance test is mandatory to detect all patients at risk. Metabolic phenotyping allows for differentiation of underlying pathophysiology and provides a basis for early individual risk stratification and specific intervention to improve patient and allograft outcome.
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spelling pubmed-45804602015-10-01 Diabetes Mellitus and Prediabetes on Kidney Transplant Waiting List- Prevalence, Metabolic Phenotyping and Risk Stratification Approach Guthoff, Martina Vosseler, Dorothea Langanke, Julia Nadalin, Silvio Königsrainer, Alfred Häring, Hans-Ulrich Fritsche, Andreas Heyne, Nils PLoS One Research Article BACKGROUND: Despite a significant prognostic impact, little is known about disturbances in glucose metabolism among kidney transplant candidates. We assess the prevalence of diabetes mellitus (DM) and prediabetes on kidney transplant waiting list, its underlying pathophysiology and propose an approach for individual risk stratification. METHODS: All patients on active kidney transplant waiting list of a large European university hospital transplant center were metabolically phenotyped. RESULTS: Of 138 patients, 76 (55%) had disturbances in glucose metabolism. 22% of patients had known DM, 3% were newly diagnosed. 30% were detected to have prediabetes. Insulin sensitivity and-secretion indices allowed for identification of underlying pathophysiology and risk factors. Age independently affected insulin secretion, resulting in a relative risk for prediabetes of 2.95 (95%CI 1.38–4.83) with a cut-off at 48 years. Body mass index independently affected insulin sensitivity as a continuous variable. CONCLUSIONS: The prevalence of DM or prediabetes on kidney transplant waiting list is as high as 55%, with more than one third of patients previously undiagnosed. Oral glucose tolerance test is mandatory to detect all patients at risk. Metabolic phenotyping allows for differentiation of underlying pathophysiology and provides a basis for early individual risk stratification and specific intervention to improve patient and allograft outcome. Public Library of Science 2015-09-23 /pmc/articles/PMC4580460/ /pubmed/26398489 http://dx.doi.org/10.1371/journal.pone.0134971 Text en © 2015 Guthoff et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Guthoff, Martina
Vosseler, Dorothea
Langanke, Julia
Nadalin, Silvio
Königsrainer, Alfred
Häring, Hans-Ulrich
Fritsche, Andreas
Heyne, Nils
Diabetes Mellitus and Prediabetes on Kidney Transplant Waiting List- Prevalence, Metabolic Phenotyping and Risk Stratification Approach
title Diabetes Mellitus and Prediabetes on Kidney Transplant Waiting List- Prevalence, Metabolic Phenotyping and Risk Stratification Approach
title_full Diabetes Mellitus and Prediabetes on Kidney Transplant Waiting List- Prevalence, Metabolic Phenotyping and Risk Stratification Approach
title_fullStr Diabetes Mellitus and Prediabetes on Kidney Transplant Waiting List- Prevalence, Metabolic Phenotyping and Risk Stratification Approach
title_full_unstemmed Diabetes Mellitus and Prediabetes on Kidney Transplant Waiting List- Prevalence, Metabolic Phenotyping and Risk Stratification Approach
title_short Diabetes Mellitus and Prediabetes on Kidney Transplant Waiting List- Prevalence, Metabolic Phenotyping and Risk Stratification Approach
title_sort diabetes mellitus and prediabetes on kidney transplant waiting list- prevalence, metabolic phenotyping and risk stratification approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4580460/
https://www.ncbi.nlm.nih.gov/pubmed/26398489
http://dx.doi.org/10.1371/journal.pone.0134971
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