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Type 2 diabetes medication and HbA1c levels in North Karelia Finland, 2013–2019
AIMS: To analyse the prevalence of prescribed medications among people with type 2 diabetes, their relationship to HbA1c levels and transitions between medications. METHODS: The data included all 18‐ to 85‐year‐old adults with type 2 diabetes (identified from the electronic health records), who live...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9543455/ https://www.ncbi.nlm.nih.gov/pubmed/35506179 http://dx.doi.org/10.1111/dme.14866 |
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author | Wikström, Katja Lamidi, Marja‐Leena Rautiainen, Päivi Tirkkonen, Hilkka Laatikainen, Tiina |
author_facet | Wikström, Katja Lamidi, Marja‐Leena Rautiainen, Päivi Tirkkonen, Hilkka Laatikainen, Tiina |
author_sort | Wikström, Katja |
collection | PubMed |
description | AIMS: To analyse the prevalence of prescribed medications among people with type 2 diabetes, their relationship to HbA1c levels and transitions between medications. METHODS: The data included all 18‐ to 85‐year‐old adults with type 2 diabetes (identified from the electronic health records), who lived in North Karelia, Finland, between 2013 and 2019. Type 2 diabetes medication was defined based on prescriptions. Logistic and linear regressions with generalized estimating equations were used to assess the differences between years. RESULTS: Metformin as a monotherapy was the most used medication (33%–35%) with the largest percentage of those in good glycaemic control. After metformin, the most used medications were long‐acting and short‐acting insulin and gliptin (16%–24% per group). In insulin groups, there were the smallest percentage of people in good glycaemic control. The use of SGLT2‐i increased most during the follow‐up (from 1.6% to 11%), but at the same time the percentage of those meeting the target HbA1c level decreased the most (from 83% to 53%). The use of GLP‐1 RA and other medications were under 3.5%. SGLT2‐i and insulin were the most stable medication groups. The most common transitions were from SGLT2‐i to long‐acting insulin and between insulin groups. CONCLUSIONS: The sequencing of prescribing additional type 2 diabetes medication or replacing current medication with new ones seems to occur according to guidelines. However, more attention should be paid to the intensification of treatment and the possibilities for new treatment choices in the management of T2D taking into account the persons’ characteristics. |
format | Online Article Text |
id | pubmed-9543455 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95434552022-10-14 Type 2 diabetes medication and HbA1c levels in North Karelia Finland, 2013–2019 Wikström, Katja Lamidi, Marja‐Leena Rautiainen, Päivi Tirkkonen, Hilkka Laatikainen, Tiina Diabet Med Research: Epidemiology AIMS: To analyse the prevalence of prescribed medications among people with type 2 diabetes, their relationship to HbA1c levels and transitions between medications. METHODS: The data included all 18‐ to 85‐year‐old adults with type 2 diabetes (identified from the electronic health records), who lived in North Karelia, Finland, between 2013 and 2019. Type 2 diabetes medication was defined based on prescriptions. Logistic and linear regressions with generalized estimating equations were used to assess the differences between years. RESULTS: Metformin as a monotherapy was the most used medication (33%–35%) with the largest percentage of those in good glycaemic control. After metformin, the most used medications were long‐acting and short‐acting insulin and gliptin (16%–24% per group). In insulin groups, there were the smallest percentage of people in good glycaemic control. The use of SGLT2‐i increased most during the follow‐up (from 1.6% to 11%), but at the same time the percentage of those meeting the target HbA1c level decreased the most (from 83% to 53%). The use of GLP‐1 RA and other medications were under 3.5%. SGLT2‐i and insulin were the most stable medication groups. The most common transitions were from SGLT2‐i to long‐acting insulin and between insulin groups. CONCLUSIONS: The sequencing of prescribing additional type 2 diabetes medication or replacing current medication with new ones seems to occur according to guidelines. However, more attention should be paid to the intensification of treatment and the possibilities for new treatment choices in the management of T2D taking into account the persons’ characteristics. John Wiley and Sons Inc. 2022-05-16 2022-09 /pmc/articles/PMC9543455/ /pubmed/35506179 http://dx.doi.org/10.1111/dme.14866 Text en © 2022 The Authors. Diabetic Medicine published by John Wiley & Sons Ltd on behalf of Diabetes UK. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research: Epidemiology Wikström, Katja Lamidi, Marja‐Leena Rautiainen, Päivi Tirkkonen, Hilkka Laatikainen, Tiina Type 2 diabetes medication and HbA1c levels in North Karelia Finland, 2013–2019 |
title | Type 2 diabetes medication and HbA1c levels in North Karelia Finland, 2013–2019 |
title_full | Type 2 diabetes medication and HbA1c levels in North Karelia Finland, 2013–2019 |
title_fullStr | Type 2 diabetes medication and HbA1c levels in North Karelia Finland, 2013–2019 |
title_full_unstemmed | Type 2 diabetes medication and HbA1c levels in North Karelia Finland, 2013–2019 |
title_short | Type 2 diabetes medication and HbA1c levels in North Karelia Finland, 2013–2019 |
title_sort | type 2 diabetes medication and hba1c levels in north karelia finland, 2013–2019 |
topic | Research: Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9543455/ https://www.ncbi.nlm.nih.gov/pubmed/35506179 http://dx.doi.org/10.1111/dme.14866 |
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