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Comorbidity Profiles among Obese–Diabetic End-Stage Renal Disease Patients: Data from REIN Registry of PACA Region of France

INTRODUCTION: The proportion of new dialysis patients with comorbidities increased by an average of 5.6% per year in the Provence-Alpes-Côte d’Azur (PACA) region, with major increases in obese, cancer, and diabetic patients. This study aimed to describe comorbidity profiles among obese–diabetic end-...

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Autores principales: Kakar, Asmatullah, Mouelhi, Yosra, Loundou, Anderson, Crémades, Adeline, Gentile, Stephanie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884933/
https://www.ncbi.nlm.nih.gov/pubmed/33603426
http://dx.doi.org/10.2147/DMSO.S291343
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author Kakar, Asmatullah
Mouelhi, Yosra
Loundou, Anderson
Crémades, Adeline
Gentile, Stephanie
author_facet Kakar, Asmatullah
Mouelhi, Yosra
Loundou, Anderson
Crémades, Adeline
Gentile, Stephanie
author_sort Kakar, Asmatullah
collection PubMed
description INTRODUCTION: The proportion of new dialysis patients with comorbidities increased by an average of 5.6% per year in the Provence-Alpes-Côte d’Azur (PACA) region, with major increases in obese, cancer, and diabetic patients. This study aimed to describe comorbidity profiles among obese–diabetic end-stage renal disease (ESRD) patients in the Renal Epidemiology and Information Network (REIN) registry of the PACA region of France on December 31, 2018. METHODS: Data for this retrospective cross-sectional study were retrieved from the REIN registry of the PACA region. Data were analyzed using two models. Firstly, the ESRD patients were divided into two groups and binary logistic regression model used for the analysis of the data. Secondly, ESRD patients were divided into four groups and multinomial logistic regression model used. Univariate analysis was performed for group comparison using x(2) and t-tests, while binary logistic and multinomial logistic regression models were used for multivariate analysis to derive ORs and 95% CIs. RESULTS: Among the 4,491 ESRD patients in this study, 623 were obese–diabetic and 3,868 nonobese–nondiabetic and obese only/ diabetic only. Obese–diabetic ESRD patients were younger (<75 years, OR 0.46, p<0.001), smoked less (OR 0.51, p<0.001), were mainly dialyzed at centers (OR 1.29, p=0.014), and less likely to be on the renal transplant waiting list (OR 0.46, p<0.001) compared to the other group. Obese–diabetic ESRD patients also had more comorbidities, including cardiovascular diseases (OR 1.38, p=0.028), coronary insufficiency (OR 1.49, p=0.001) and chronic obstructive pulmonary disease (OR 1.75, p<0.001), but had fewer cases of cancer (OR 0.68, p=0.024) compare to the other group. CONCLUSION: Obese–diabetic patients with ESRD have many specific characteristics. These patients were younger, but had more cardiovascular comorbidities and were less likely to be on the waiting list for transplantation. They should receive special attention and be the subject of prevention and therapeutic education.
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spelling pubmed-78849332021-02-17 Comorbidity Profiles among Obese–Diabetic End-Stage Renal Disease Patients: Data from REIN Registry of PACA Region of France Kakar, Asmatullah Mouelhi, Yosra Loundou, Anderson Crémades, Adeline Gentile, Stephanie Diabetes Metab Syndr Obes Original Research INTRODUCTION: The proportion of new dialysis patients with comorbidities increased by an average of 5.6% per year in the Provence-Alpes-Côte d’Azur (PACA) region, with major increases in obese, cancer, and diabetic patients. This study aimed to describe comorbidity profiles among obese–diabetic end-stage renal disease (ESRD) patients in the Renal Epidemiology and Information Network (REIN) registry of the PACA region of France on December 31, 2018. METHODS: Data for this retrospective cross-sectional study were retrieved from the REIN registry of the PACA region. Data were analyzed using two models. Firstly, the ESRD patients were divided into two groups and binary logistic regression model used for the analysis of the data. Secondly, ESRD patients were divided into four groups and multinomial logistic regression model used. Univariate analysis was performed for group comparison using x(2) and t-tests, while binary logistic and multinomial logistic regression models were used for multivariate analysis to derive ORs and 95% CIs. RESULTS: Among the 4,491 ESRD patients in this study, 623 were obese–diabetic and 3,868 nonobese–nondiabetic and obese only/ diabetic only. Obese–diabetic ESRD patients were younger (<75 years, OR 0.46, p<0.001), smoked less (OR 0.51, p<0.001), were mainly dialyzed at centers (OR 1.29, p=0.014), and less likely to be on the renal transplant waiting list (OR 0.46, p<0.001) compared to the other group. Obese–diabetic ESRD patients also had more comorbidities, including cardiovascular diseases (OR 1.38, p=0.028), coronary insufficiency (OR 1.49, p=0.001) and chronic obstructive pulmonary disease (OR 1.75, p<0.001), but had fewer cases of cancer (OR 0.68, p=0.024) compare to the other group. CONCLUSION: Obese–diabetic patients with ESRD have many specific characteristics. These patients were younger, but had more cardiovascular comorbidities and were less likely to be on the waiting list for transplantation. They should receive special attention and be the subject of prevention and therapeutic education. Dove 2021-02-11 /pmc/articles/PMC7884933/ /pubmed/33603426 http://dx.doi.org/10.2147/DMSO.S291343 Text en © 2021 Kakar et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Kakar, Asmatullah
Mouelhi, Yosra
Loundou, Anderson
Crémades, Adeline
Gentile, Stephanie
Comorbidity Profiles among Obese–Diabetic End-Stage Renal Disease Patients: Data from REIN Registry of PACA Region of France
title Comorbidity Profiles among Obese–Diabetic End-Stage Renal Disease Patients: Data from REIN Registry of PACA Region of France
title_full Comorbidity Profiles among Obese–Diabetic End-Stage Renal Disease Patients: Data from REIN Registry of PACA Region of France
title_fullStr Comorbidity Profiles among Obese–Diabetic End-Stage Renal Disease Patients: Data from REIN Registry of PACA Region of France
title_full_unstemmed Comorbidity Profiles among Obese–Diabetic End-Stage Renal Disease Patients: Data from REIN Registry of PACA Region of France
title_short Comorbidity Profiles among Obese–Diabetic End-Stage Renal Disease Patients: Data from REIN Registry of PACA Region of France
title_sort comorbidity profiles among obese–diabetic end-stage renal disease patients: data from rein registry of paca region of france
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884933/
https://www.ncbi.nlm.nih.gov/pubmed/33603426
http://dx.doi.org/10.2147/DMSO.S291343
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