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Epidemiology and determinants of non-diabetic hyperglycaemia and its conversion to type 2 diabetes mellitus, 2000–2015: cohort population study using UK electronic health records

OBJECTIVES: To study the characteristics of UK individuals identified with non-diabetic hyperglycaemia (NDH) and their conversion rates to type 2 diabetes mellitus (T2DM) from 2000 to 2015, using the Clinical Practice Research Datalink. DESIGN: Cohort study. SETTINGS: UK primary Care Practices. PART...

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Autores principales: Ravindrarajah, Rathi, Reeves, David, Howarth, Elizabeth, Meacock, Rachel, Soiland-Reyes, Claudia, Cotterill, Sarah, Whittaker, William, Heller, Simon, Sutton, Matt, Bower, Peter, Kontopantelis, Evangelos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7484863/
https://www.ncbi.nlm.nih.gov/pubmed/32893192
http://dx.doi.org/10.1136/bmjopen-2020-040201
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author Ravindrarajah, Rathi
Reeves, David
Howarth, Elizabeth
Meacock, Rachel
Soiland-Reyes, Claudia
Cotterill, Sarah
Whittaker, William
Heller, Simon
Sutton, Matt
Bower, Peter
Kontopantelis, Evangelos
author_facet Ravindrarajah, Rathi
Reeves, David
Howarth, Elizabeth
Meacock, Rachel
Soiland-Reyes, Claudia
Cotterill, Sarah
Whittaker, William
Heller, Simon
Sutton, Matt
Bower, Peter
Kontopantelis, Evangelos
author_sort Ravindrarajah, Rathi
collection PubMed
description OBJECTIVES: To study the characteristics of UK individuals identified with non-diabetic hyperglycaemia (NDH) and their conversion rates to type 2 diabetes mellitus (T2DM) from 2000 to 2015, using the Clinical Practice Research Datalink. DESIGN: Cohort study. SETTINGS: UK primary Care Practices. PARTICIPANTS: Electronic health records identified 14 272 participants with NDH, from 2000 to 2015. PRIMARY AND SECONDARY OUTCOME MEASURES: Baseline characteristics and conversion trends from NDH to T2DM were explored. Cox proportional hazards models evaluated predictors of conversion. RESULTS: Crude conversion was 4% within 6 months of NDH diagnosis, 7% annually, 13% within 2 years, 17% within 3 years and 23% within 5 years. However, 1-year conversion fell from 8% in 2000 to 4% in 2014. Individuals aged 45–54 were at the highest risk of developing T2DM (HR 1.20, 95% CI 1.15 to 1.25— compared with those aged 18–44), and the risk reduced with older age. A body mass index (BMI) above 30 kg/m(2) was strongly associated with conversion (HR 2.02, 95% CI 1.92 to 2.13—compared with those with a normal BMI). Depression (HR 1.10, 95% CI 1.07 to 1.13), smoking (HR 1.07, 95% CI 1.03 to 1.11—compared with non-smokers) or residing in the most deprived areas (HR 1.17, 95% CI 1.11 to 1.24—compared with residents of the most affluent areas) was modestly associated with conversion. CONCLUSION: Although the rate of conversion from NDH to T2DM fell between 2010 and 2015, this is likely due to changes over time in the cut-off points for defining NDH, and more people of lower diabetes risk being diagnosed with NDH over time. People aged 45–54, smokers, depressed, with high BMI and more deprived are at increased risk of conversion to T2DM.
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spelling pubmed-74848632020-09-18 Epidemiology and determinants of non-diabetic hyperglycaemia and its conversion to type 2 diabetes mellitus, 2000–2015: cohort population study using UK electronic health records Ravindrarajah, Rathi Reeves, David Howarth, Elizabeth Meacock, Rachel Soiland-Reyes, Claudia Cotterill, Sarah Whittaker, William Heller, Simon Sutton, Matt Bower, Peter Kontopantelis, Evangelos BMJ Open Epidemiology OBJECTIVES: To study the characteristics of UK individuals identified with non-diabetic hyperglycaemia (NDH) and their conversion rates to type 2 diabetes mellitus (T2DM) from 2000 to 2015, using the Clinical Practice Research Datalink. DESIGN: Cohort study. SETTINGS: UK primary Care Practices. PARTICIPANTS: Electronic health records identified 14 272 participants with NDH, from 2000 to 2015. PRIMARY AND SECONDARY OUTCOME MEASURES: Baseline characteristics and conversion trends from NDH to T2DM were explored. Cox proportional hazards models evaluated predictors of conversion. RESULTS: Crude conversion was 4% within 6 months of NDH diagnosis, 7% annually, 13% within 2 years, 17% within 3 years and 23% within 5 years. However, 1-year conversion fell from 8% in 2000 to 4% in 2014. Individuals aged 45–54 were at the highest risk of developing T2DM (HR 1.20, 95% CI 1.15 to 1.25— compared with those aged 18–44), and the risk reduced with older age. A body mass index (BMI) above 30 kg/m(2) was strongly associated with conversion (HR 2.02, 95% CI 1.92 to 2.13—compared with those with a normal BMI). Depression (HR 1.10, 95% CI 1.07 to 1.13), smoking (HR 1.07, 95% CI 1.03 to 1.11—compared with non-smokers) or residing in the most deprived areas (HR 1.17, 95% CI 1.11 to 1.24—compared with residents of the most affluent areas) was modestly associated with conversion. CONCLUSION: Although the rate of conversion from NDH to T2DM fell between 2010 and 2015, this is likely due to changes over time in the cut-off points for defining NDH, and more people of lower diabetes risk being diagnosed with NDH over time. People aged 45–54, smokers, depressed, with high BMI and more deprived are at increased risk of conversion to T2DM. BMJ Publishing Group 2020-09-06 /pmc/articles/PMC7484863/ /pubmed/32893192 http://dx.doi.org/10.1136/bmjopen-2020-040201 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Epidemiology
Ravindrarajah, Rathi
Reeves, David
Howarth, Elizabeth
Meacock, Rachel
Soiland-Reyes, Claudia
Cotterill, Sarah
Whittaker, William
Heller, Simon
Sutton, Matt
Bower, Peter
Kontopantelis, Evangelos
Epidemiology and determinants of non-diabetic hyperglycaemia and its conversion to type 2 diabetes mellitus, 2000–2015: cohort population study using UK electronic health records
title Epidemiology and determinants of non-diabetic hyperglycaemia and its conversion to type 2 diabetes mellitus, 2000–2015: cohort population study using UK electronic health records
title_full Epidemiology and determinants of non-diabetic hyperglycaemia and its conversion to type 2 diabetes mellitus, 2000–2015: cohort population study using UK electronic health records
title_fullStr Epidemiology and determinants of non-diabetic hyperglycaemia and its conversion to type 2 diabetes mellitus, 2000–2015: cohort population study using UK electronic health records
title_full_unstemmed Epidemiology and determinants of non-diabetic hyperglycaemia and its conversion to type 2 diabetes mellitus, 2000–2015: cohort population study using UK electronic health records
title_short Epidemiology and determinants of non-diabetic hyperglycaemia and its conversion to type 2 diabetes mellitus, 2000–2015: cohort population study using UK electronic health records
title_sort epidemiology and determinants of non-diabetic hyperglycaemia and its conversion to type 2 diabetes mellitus, 2000–2015: cohort population study using uk electronic health records
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7484863/
https://www.ncbi.nlm.nih.gov/pubmed/32893192
http://dx.doi.org/10.1136/bmjopen-2020-040201
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