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Rates of glycaemic deterioration in a real-world population with type 2 diabetes

AIMS/HYPOTHESIS: There is considerable variability in how diabetes progresses after diagnosis. Progression modelling has largely focused on ‘time to failure’ methods, yet determining a ‘coefficient of failure’ has many advantages. We derived a rate of glycaemic deterioration in type 2 diabetes, usin...

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Autores principales: Donnelly, Louise A., Zhou, Kaixin, Doney, Alex S. F., Jennison, Chris, Franks, Paul W., Pearson, Ewan R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6448965/
https://www.ncbi.nlm.nih.gov/pubmed/29260253
http://dx.doi.org/10.1007/s00125-017-4519-5
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author Donnelly, Louise A.
Zhou, Kaixin
Doney, Alex S. F.
Jennison, Chris
Franks, Paul W.
Pearson, Ewan R.
author_facet Donnelly, Louise A.
Zhou, Kaixin
Doney, Alex S. F.
Jennison, Chris
Franks, Paul W.
Pearson, Ewan R.
author_sort Donnelly, Louise A.
collection PubMed
description AIMS/HYPOTHESIS: There is considerable variability in how diabetes progresses after diagnosis. Progression modelling has largely focused on ‘time to failure’ methods, yet determining a ‘coefficient of failure’ has many advantages. We derived a rate of glycaemic deterioration in type 2 diabetes, using a large real-world cohort, and aimed to investigate the clinical, biochemical, pharmacological and immunological variables associated with fast and slow rates of glycaemic deterioration. METHODS: An observational cohort study was performed using the electronic medical records from participants in the Genetics of Diabetes Audit and Research in Tayside Study (GoDARTS). A model was derived based on an individual’s observed HbA(1c) measures from the first eligible HbA(1c) after the diagnosis of diabetes through to the study end (defined as insulin initiation, death, leaving the area or end of follow-up). Each HbA(1c) measure was time-dependently adjusted for the effects of non-insulin glucose-lowering drugs, changes in BMI and corticosteroid use. GAD antibody (GADA) positivity was defined as GAD titres above the 97.5th centile of the population distribution. RESULTS: The mean (95% CI) glycaemic deterioration for type 2 diabetes and GADA-positive individuals was 1.4 (1.3, 1.4) and 2.8 (2.4, 3.3) mmol/mol HbA(1c) per year, respectively. A younger age of diagnosis, lower HDL-cholesterol concentration, higher BMI and earlier calendar year of diabetes diagnosis were independently associated with higher rates of glycaemic deterioration in individuals with type 2 diabetes. The rate of deterioration in those diagnosed at over 70 years of age was very low, with 66% having a rate of deterioration of less than 1.1 mmol/mol HbA(1c) per year, and only 1.5% progressing more rapidly than 4.4 mmol/mol HbA(1c) per year. CONCLUSIONS/INTERPRETATION: We have developed a novel approach for modelling the progression of diabetes in observational data across multiple drug combinations. This approach highlights how glycaemic deterioration in those diagnosed at over 70 years of age is minimal, supporting a stratified approach to diabetes management. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00125-017-4519-5) contains peer-reviewed but unedited supplementary material, which is available to authorised users.
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spelling pubmed-64489652019-04-17 Rates of glycaemic deterioration in a real-world population with type 2 diabetes Donnelly, Louise A. Zhou, Kaixin Doney, Alex S. F. Jennison, Chris Franks, Paul W. Pearson, Ewan R. Diabetologia Article AIMS/HYPOTHESIS: There is considerable variability in how diabetes progresses after diagnosis. Progression modelling has largely focused on ‘time to failure’ methods, yet determining a ‘coefficient of failure’ has many advantages. We derived a rate of glycaemic deterioration in type 2 diabetes, using a large real-world cohort, and aimed to investigate the clinical, biochemical, pharmacological and immunological variables associated with fast and slow rates of glycaemic deterioration. METHODS: An observational cohort study was performed using the electronic medical records from participants in the Genetics of Diabetes Audit and Research in Tayside Study (GoDARTS). A model was derived based on an individual’s observed HbA(1c) measures from the first eligible HbA(1c) after the diagnosis of diabetes through to the study end (defined as insulin initiation, death, leaving the area or end of follow-up). Each HbA(1c) measure was time-dependently adjusted for the effects of non-insulin glucose-lowering drugs, changes in BMI and corticosteroid use. GAD antibody (GADA) positivity was defined as GAD titres above the 97.5th centile of the population distribution. RESULTS: The mean (95% CI) glycaemic deterioration for type 2 diabetes and GADA-positive individuals was 1.4 (1.3, 1.4) and 2.8 (2.4, 3.3) mmol/mol HbA(1c) per year, respectively. A younger age of diagnosis, lower HDL-cholesterol concentration, higher BMI and earlier calendar year of diabetes diagnosis were independently associated with higher rates of glycaemic deterioration in individuals with type 2 diabetes. The rate of deterioration in those diagnosed at over 70 years of age was very low, with 66% having a rate of deterioration of less than 1.1 mmol/mol HbA(1c) per year, and only 1.5% progressing more rapidly than 4.4 mmol/mol HbA(1c) per year. CONCLUSIONS/INTERPRETATION: We have developed a novel approach for modelling the progression of diabetes in observational data across multiple drug combinations. This approach highlights how glycaemic deterioration in those diagnosed at over 70 years of age is minimal, supporting a stratified approach to diabetes management. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00125-017-4519-5) contains peer-reviewed but unedited supplementary material, which is available to authorised users. Springer Berlin Heidelberg 2017-12-19 2018 /pmc/articles/PMC6448965/ /pubmed/29260253 http://dx.doi.org/10.1007/s00125-017-4519-5 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Donnelly, Louise A.
Zhou, Kaixin
Doney, Alex S. F.
Jennison, Chris
Franks, Paul W.
Pearson, Ewan R.
Rates of glycaemic deterioration in a real-world population with type 2 diabetes
title Rates of glycaemic deterioration in a real-world population with type 2 diabetes
title_full Rates of glycaemic deterioration in a real-world population with type 2 diabetes
title_fullStr Rates of glycaemic deterioration in a real-world population with type 2 diabetes
title_full_unstemmed Rates of glycaemic deterioration in a real-world population with type 2 diabetes
title_short Rates of glycaemic deterioration in a real-world population with type 2 diabetes
title_sort rates of glycaemic deterioration in a real-world population with type 2 diabetes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6448965/
https://www.ncbi.nlm.nih.gov/pubmed/29260253
http://dx.doi.org/10.1007/s00125-017-4519-5
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