Cargando…

Prevalence and Predictors of “New-onset Diabetes after Transplantation” (NODAT) in Renal Transplant Recipients: An Observational Study

OBJECTIVE: New-onset diabetes after transplantation (NODAT) develops frequently after renal transplant. The study aims at the prevalence of NODAT, predictors for developing it and therapeutic glycemic responses in NODAT. MATERIALS AND METHODS: Consecutive renal transplant recipients excluding Diabet...

Descripción completa

Detalles Bibliográficos
Autores principales: Choudhury, Partha Sarathi, Mukhopadhyay, Pradip, Roychowdhary, Arpita, Chowdhury, Subhankar, Ghosh, Sujoy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6683686/
https://www.ncbi.nlm.nih.gov/pubmed/31641626
http://dx.doi.org/10.4103/ijem.IJEM_178_19
_version_ 1783442139054604288
author Choudhury, Partha Sarathi
Mukhopadhyay, Pradip
Roychowdhary, Arpita
Chowdhury, Subhankar
Ghosh, Sujoy
author_facet Choudhury, Partha Sarathi
Mukhopadhyay, Pradip
Roychowdhary, Arpita
Chowdhury, Subhankar
Ghosh, Sujoy
author_sort Choudhury, Partha Sarathi
collection PubMed
description OBJECTIVE: New-onset diabetes after transplantation (NODAT) develops frequently after renal transplant. The study aims at the prevalence of NODAT, predictors for developing it and therapeutic glycemic responses in NODAT. MATERIALS AND METHODS: Consecutive renal transplant recipients excluding Diabetic Kidney Disease (DKD) or pretransplant diabetes were evaluated. Forty-three out of 250 persons were found to have NODAT. Ninety age-matched transplant recipients from the rest were recruited as control. Fasting blood sugar (FBS), HbA1c, lipid profile, and trough tacrolimus level (T(0)) were examined in all. HOMA IR C-peptide and HOMA-beta C-peptide were calculated. RESULTS: Prevalence of NODAT in renal transplant recipients was 17.2% (43/250). Twenty-four (55.8%) developed early NODAT (<1 year) and 19 (44.2%) developed late NODAT (>1 year). Significantly higher pretransplant body mass index (BMI) (kg/m(2)) (P < 0.001), waist circumference (WC) (cm) (P < 0.001), pretransplant cholesterol (mg%) (P = 0.04), triglyceride (mg%) (P < 0.001), and FBS (mg%) (P < 0.001) were found in NODAT compared with non-NODAT. Trough tacrolimus (ng/mL) was found to be higher in NODAT (10.2 vs. 5.37, P < 0.001). Though HOMA IR was not found to be different between groups, HOMA-beta C-peptide was low in NODAT compared with non-NODAT (P = 0.03). Predictors of NODAT were WC [odds ratio (OR) = 01.15] and trough tacrolimus level (OR = 1.316). Best cut-off of WC for predicting NODAT was 87.5 cm for male and 83.5 cm for female. Best cut-off of T(0) was 8.5 ng/mL. In NODAT, 9.3% were treated by lifestyle modification, 67.4% by oral hypoglycemic agents, 11.6% by insulin, and 11.6% by combined insulin and oral antidiabetic agents with HbA1c <7%. CONCLUSION: NODAT in renal transplant recipients is more common in those with higher pretransplant BMI, WC, pretransplant total cholesterol, triglyceride, and FBS. Beta-cell secretory defect is more relevant as etiological factor rather than insulin resistance. Higher WC and trough tacrolimus level above 8.5 ng/mL may be important factors for predicting NODAT.
format Online
Article
Text
id pubmed-6683686
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Wolters Kluwer - Medknow
record_format MEDLINE/PubMed
spelling pubmed-66836862019-10-22 Prevalence and Predictors of “New-onset Diabetes after Transplantation” (NODAT) in Renal Transplant Recipients: An Observational Study Choudhury, Partha Sarathi Mukhopadhyay, Pradip Roychowdhary, Arpita Chowdhury, Subhankar Ghosh, Sujoy Indian J Endocrinol Metab Original Article OBJECTIVE: New-onset diabetes after transplantation (NODAT) develops frequently after renal transplant. The study aims at the prevalence of NODAT, predictors for developing it and therapeutic glycemic responses in NODAT. MATERIALS AND METHODS: Consecutive renal transplant recipients excluding Diabetic Kidney Disease (DKD) or pretransplant diabetes were evaluated. Forty-three out of 250 persons were found to have NODAT. Ninety age-matched transplant recipients from the rest were recruited as control. Fasting blood sugar (FBS), HbA1c, lipid profile, and trough tacrolimus level (T(0)) were examined in all. HOMA IR C-peptide and HOMA-beta C-peptide were calculated. RESULTS: Prevalence of NODAT in renal transplant recipients was 17.2% (43/250). Twenty-four (55.8%) developed early NODAT (<1 year) and 19 (44.2%) developed late NODAT (>1 year). Significantly higher pretransplant body mass index (BMI) (kg/m(2)) (P < 0.001), waist circumference (WC) (cm) (P < 0.001), pretransplant cholesterol (mg%) (P = 0.04), triglyceride (mg%) (P < 0.001), and FBS (mg%) (P < 0.001) were found in NODAT compared with non-NODAT. Trough tacrolimus (ng/mL) was found to be higher in NODAT (10.2 vs. 5.37, P < 0.001). Though HOMA IR was not found to be different between groups, HOMA-beta C-peptide was low in NODAT compared with non-NODAT (P = 0.03). Predictors of NODAT were WC [odds ratio (OR) = 01.15] and trough tacrolimus level (OR = 1.316). Best cut-off of WC for predicting NODAT was 87.5 cm for male and 83.5 cm for female. Best cut-off of T(0) was 8.5 ng/mL. In NODAT, 9.3% were treated by lifestyle modification, 67.4% by oral hypoglycemic agents, 11.6% by insulin, and 11.6% by combined insulin and oral antidiabetic agents with HbA1c <7%. CONCLUSION: NODAT in renal transplant recipients is more common in those with higher pretransplant BMI, WC, pretransplant total cholesterol, triglyceride, and FBS. Beta-cell secretory defect is more relevant as etiological factor rather than insulin resistance. Higher WC and trough tacrolimus level above 8.5 ng/mL may be important factors for predicting NODAT. Wolters Kluwer - Medknow 2019 /pmc/articles/PMC6683686/ /pubmed/31641626 http://dx.doi.org/10.4103/ijem.IJEM_178_19 Text en Copyright: © 2019 Indian Journal of Endocrinology and Metabolism http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Choudhury, Partha Sarathi
Mukhopadhyay, Pradip
Roychowdhary, Arpita
Chowdhury, Subhankar
Ghosh, Sujoy
Prevalence and Predictors of “New-onset Diabetes after Transplantation” (NODAT) in Renal Transplant Recipients: An Observational Study
title Prevalence and Predictors of “New-onset Diabetes after Transplantation” (NODAT) in Renal Transplant Recipients: An Observational Study
title_full Prevalence and Predictors of “New-onset Diabetes after Transplantation” (NODAT) in Renal Transplant Recipients: An Observational Study
title_fullStr Prevalence and Predictors of “New-onset Diabetes after Transplantation” (NODAT) in Renal Transplant Recipients: An Observational Study
title_full_unstemmed Prevalence and Predictors of “New-onset Diabetes after Transplantation” (NODAT) in Renal Transplant Recipients: An Observational Study
title_short Prevalence and Predictors of “New-onset Diabetes after Transplantation” (NODAT) in Renal Transplant Recipients: An Observational Study
title_sort prevalence and predictors of “new-onset diabetes after transplantation” (nodat) in renal transplant recipients: an observational study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6683686/
https://www.ncbi.nlm.nih.gov/pubmed/31641626
http://dx.doi.org/10.4103/ijem.IJEM_178_19
work_keys_str_mv AT choudhuryparthasarathi prevalenceandpredictorsofnewonsetdiabetesaftertransplantationnodatinrenaltransplantrecipientsanobservationalstudy
AT mukhopadhyaypradip prevalenceandpredictorsofnewonsetdiabetesaftertransplantationnodatinrenaltransplantrecipientsanobservationalstudy
AT roychowdharyarpita prevalenceandpredictorsofnewonsetdiabetesaftertransplantationnodatinrenaltransplantrecipientsanobservationalstudy
AT chowdhurysubhankar prevalenceandpredictorsofnewonsetdiabetesaftertransplantationnodatinrenaltransplantrecipientsanobservationalstudy
AT ghoshsujoy prevalenceandpredictorsofnewonsetdiabetesaftertransplantationnodatinrenaltransplantrecipientsanobservationalstudy