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Glucose Metabolism After Renal Transplantation

OBJECTIVE: We determined prevalence, risk factors, phenotype, and pathophysiological mechanism of new-onset diabetes after transplantation (NODAT) to generate strategies for optimal pharmacological management of hyperglycemia in NODAT patients. RESEARCH DESIGN AND METHODS: Retrospective cohort study...

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Autores principales: Hecking, Manfred, Kainz, Alexander, Werzowa, Johannes, Haidinger, Michael, Döller, Dominik, Tura, Andrea, Karaboyas, Angelo, Hörl, Walter H., Wolzt, Michael, Sharif, Adnan, Roden, Michael, Moro, Ermanno, Pacini, Giovanni, Port, Friedrich K., Säemann, Marcus D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Diabetes Association 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3747896/
https://www.ncbi.nlm.nih.gov/pubmed/23656979
http://dx.doi.org/10.2337/dc12-2441
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author Hecking, Manfred
Kainz, Alexander
Werzowa, Johannes
Haidinger, Michael
Döller, Dominik
Tura, Andrea
Karaboyas, Angelo
Hörl, Walter H.
Wolzt, Michael
Sharif, Adnan
Roden, Michael
Moro, Ermanno
Pacini, Giovanni
Port, Friedrich K.
Säemann, Marcus D.
author_facet Hecking, Manfred
Kainz, Alexander
Werzowa, Johannes
Haidinger, Michael
Döller, Dominik
Tura, Andrea
Karaboyas, Angelo
Hörl, Walter H.
Wolzt, Michael
Sharif, Adnan
Roden, Michael
Moro, Ermanno
Pacini, Giovanni
Port, Friedrich K.
Säemann, Marcus D.
author_sort Hecking, Manfred
collection PubMed
description OBJECTIVE: We determined prevalence, risk factors, phenotype, and pathophysiological mechanism of new-onset diabetes after transplantation (NODAT) to generate strategies for optimal pharmacological management of hyperglycemia in NODAT patients. RESEARCH DESIGN AND METHODS: Retrospective cohort study comparing demographics, laboratory data, and oral glucose tolerance test (OGTT)-derived metabolic parameters from kidney transplant recipients versus subjects not receiving transplants. RESULTS: Among 1,064 stable kidney transplant recipients (≥6 months posttransplantation), 113 (11%) had a history of NODAT and 132 (12%) had pretransplant diabetes. In the remaining patients, randomly assigned OGTTs showed a high prevalence of abnormal glucose metabolism (11% diabetes; 32% impaired fasting glucose, impaired glucose tolerance, or both), predominantly in older patients who received tacrolimus as the primary immunosuppressant. Compared with 1,357 nontransplant subjects, stable kidney transplant recipients had lower basal glucose, higher glycated hemoglobin, lower insulin secretion, and greater insulin sensitivity in each of the three subgroups, defined by OGTT 2-h glucose (<140, 140–199, ≥200 mg/dL). These findings were reinforced in linear spline interpolation models of insulin secretion and sensitivity (all P < 0.001) and in another regression model in which the estimated oral glucose insulin sensitivity index was substantially higher (by 79–112 mL/min m(2)) for transplant versus nontransplant subjects despite adjustments for age, sex, and BMI (all P < 0.001). CONCLUSIONS: Glucose metabolism differs substantially between kidney transplant recipients and nontransplant controls. Because impaired insulin secretion appears to be the predominant pathophysiological feature after renal transplantation, early therapeutic interventions that preserve, maintain, or improve β-cell function are potentially beneficial in this population.
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spelling pubmed-37478962014-09-01 Glucose Metabolism After Renal Transplantation Hecking, Manfred Kainz, Alexander Werzowa, Johannes Haidinger, Michael Döller, Dominik Tura, Andrea Karaboyas, Angelo Hörl, Walter H. Wolzt, Michael Sharif, Adnan Roden, Michael Moro, Ermanno Pacini, Giovanni Port, Friedrich K. Säemann, Marcus D. Diabetes Care Original Research OBJECTIVE: We determined prevalence, risk factors, phenotype, and pathophysiological mechanism of new-onset diabetes after transplantation (NODAT) to generate strategies for optimal pharmacological management of hyperglycemia in NODAT patients. RESEARCH DESIGN AND METHODS: Retrospective cohort study comparing demographics, laboratory data, and oral glucose tolerance test (OGTT)-derived metabolic parameters from kidney transplant recipients versus subjects not receiving transplants. RESULTS: Among 1,064 stable kidney transplant recipients (≥6 months posttransplantation), 113 (11%) had a history of NODAT and 132 (12%) had pretransplant diabetes. In the remaining patients, randomly assigned OGTTs showed a high prevalence of abnormal glucose metabolism (11% diabetes; 32% impaired fasting glucose, impaired glucose tolerance, or both), predominantly in older patients who received tacrolimus as the primary immunosuppressant. Compared with 1,357 nontransplant subjects, stable kidney transplant recipients had lower basal glucose, higher glycated hemoglobin, lower insulin secretion, and greater insulin sensitivity in each of the three subgroups, defined by OGTT 2-h glucose (<140, 140–199, ≥200 mg/dL). These findings were reinforced in linear spline interpolation models of insulin secretion and sensitivity (all P < 0.001) and in another regression model in which the estimated oral glucose insulin sensitivity index was substantially higher (by 79–112 mL/min m(2)) for transplant versus nontransplant subjects despite adjustments for age, sex, and BMI (all P < 0.001). CONCLUSIONS: Glucose metabolism differs substantially between kidney transplant recipients and nontransplant controls. Because impaired insulin secretion appears to be the predominant pathophysiological feature after renal transplantation, early therapeutic interventions that preserve, maintain, or improve β-cell function are potentially beneficial in this population. American Diabetes Association 2013-09 2013-08-13 /pmc/articles/PMC3747896/ /pubmed/23656979 http://dx.doi.org/10.2337/dc12-2441 Text en © 2013 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. See http://creativecommons.org/licenses/by-nc-nd/3.0/ for details.
spellingShingle Original Research
Hecking, Manfred
Kainz, Alexander
Werzowa, Johannes
Haidinger, Michael
Döller, Dominik
Tura, Andrea
Karaboyas, Angelo
Hörl, Walter H.
Wolzt, Michael
Sharif, Adnan
Roden, Michael
Moro, Ermanno
Pacini, Giovanni
Port, Friedrich K.
Säemann, Marcus D.
Glucose Metabolism After Renal Transplantation
title Glucose Metabolism After Renal Transplantation
title_full Glucose Metabolism After Renal Transplantation
title_fullStr Glucose Metabolism After Renal Transplantation
title_full_unstemmed Glucose Metabolism After Renal Transplantation
title_short Glucose Metabolism After Renal Transplantation
title_sort glucose metabolism after renal transplantation
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3747896/
https://www.ncbi.nlm.nih.gov/pubmed/23656979
http://dx.doi.org/10.2337/dc12-2441
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