LDL-cholesterol trajectories and statin treatment in Finnish type 2 diabetes patients: a growth mixture model

Abstract We aimed to identify distinct longitudinal trends of LDL-cholesterol (LDL-C) levels and investigate these trajectories’ association with statin treatment. This retrospective cohort study used electronic health records from 8592 type 2 diabetes patients in North Karelia, Finland, comprising...

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Published in:Scientific Reports
Main Authors: Laura Inglin, Piia Lavikainen, Kari Jalkanen, Tiina Laatikainen
Format: Article in Journal/Newspaper
Language:English
Published: Nature Portfolio 2021
Subjects:
R
Q
Online Access:https://doi.org/10.1038/s41598-021-02077-6
https://doaj.org/article/4c8a021b23184b2b8b329e1270eb3ba9
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spelling ftdoajarticles:oai:doaj.org/article:4c8a021b23184b2b8b329e1270eb3ba9 2023-05-15T17:00:20+02:00 LDL-cholesterol trajectories and statin treatment in Finnish type 2 diabetes patients: a growth mixture model Laura Inglin Piia Lavikainen Kari Jalkanen Tiina Laatikainen 2021-11-01T00:00:00Z https://doi.org/10.1038/s41598-021-02077-6 https://doaj.org/article/4c8a021b23184b2b8b329e1270eb3ba9 EN eng Nature Portfolio https://doi.org/10.1038/s41598-021-02077-6 https://doaj.org/toc/2045-2322 doi:10.1038/s41598-021-02077-6 2045-2322 https://doaj.org/article/4c8a021b23184b2b8b329e1270eb3ba9 Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021) Medicine R Science Q article 2021 ftdoajarticles https://doi.org/10.1038/s41598-021-02077-6 2022-12-31T11:16:30Z Abstract We aimed to identify distinct longitudinal trends of LDL-cholesterol (LDL-C) levels and investigate these trajectories’ association with statin treatment. This retrospective cohort study used electronic health records from 8592 type 2 diabetes patients in North Karelia, Finland, comprising all primary and specialised care visits 2011‒2017. We compared LDL-C trajectory groups assessing LDL-C treatment target achievement and changes in statin treatment intensity. Using a growth mixture model, we identified four LDL-C trajectory groups. The majority (85.9%) had “moderate-stable” LDL-C levels around 2.3 mmol/L. The second-largest group (7.7%) consisted of predominantly untreated patients with alarmingly “high-stable” LDL-C levels around 3.9 mmol/L. The “decreasing” group (3.8%) was characterised by large improvements in initially very high LDL-C levels, along with the highest statin treatment intensification rates, while among patients with “increasing” LDL-C (2.5%), statin treatment declined drastically. In all the trajectory groups, women had significantly higher average LDL-C levels and received less frequent any statin treatment and high-intensity treatment than men. Overall, 41.9% of patients had no statin prescribed at the end of follow-up. Efforts to control LDL-C should be increased—especially in patients with continuously elevated levels—by initiating and intensifying statin treatment earlier and re-initiating the treatment after discontinuation if possible. Article in Journal/Newspaper karelia* Directory of Open Access Journals: DOAJ Articles Scientific Reports 11 1
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Laura Inglin
Piia Lavikainen
Kari Jalkanen
Tiina Laatikainen
LDL-cholesterol trajectories and statin treatment in Finnish type 2 diabetes patients: a growth mixture model
topic_facet Medicine
R
Science
Q
description Abstract We aimed to identify distinct longitudinal trends of LDL-cholesterol (LDL-C) levels and investigate these trajectories’ association with statin treatment. This retrospective cohort study used electronic health records from 8592 type 2 diabetes patients in North Karelia, Finland, comprising all primary and specialised care visits 2011‒2017. We compared LDL-C trajectory groups assessing LDL-C treatment target achievement and changes in statin treatment intensity. Using a growth mixture model, we identified four LDL-C trajectory groups. The majority (85.9%) had “moderate-stable” LDL-C levels around 2.3 mmol/L. The second-largest group (7.7%) consisted of predominantly untreated patients with alarmingly “high-stable” LDL-C levels around 3.9 mmol/L. The “decreasing” group (3.8%) was characterised by large improvements in initially very high LDL-C levels, along with the highest statin treatment intensification rates, while among patients with “increasing” LDL-C (2.5%), statin treatment declined drastically. In all the trajectory groups, women had significantly higher average LDL-C levels and received less frequent any statin treatment and high-intensity treatment than men. Overall, 41.9% of patients had no statin prescribed at the end of follow-up. Efforts to control LDL-C should be increased—especially in patients with continuously elevated levels—by initiating and intensifying statin treatment earlier and re-initiating the treatment after discontinuation if possible.
format Article in Journal/Newspaper
author Laura Inglin
Piia Lavikainen
Kari Jalkanen
Tiina Laatikainen
author_facet Laura Inglin
Piia Lavikainen
Kari Jalkanen
Tiina Laatikainen
author_sort Laura Inglin
title LDL-cholesterol trajectories and statin treatment in Finnish type 2 diabetes patients: a growth mixture model
title_short LDL-cholesterol trajectories and statin treatment in Finnish type 2 diabetes patients: a growth mixture model
title_full LDL-cholesterol trajectories and statin treatment in Finnish type 2 diabetes patients: a growth mixture model
title_fullStr LDL-cholesterol trajectories and statin treatment in Finnish type 2 diabetes patients: a growth mixture model
title_full_unstemmed LDL-cholesterol trajectories and statin treatment in Finnish type 2 diabetes patients: a growth mixture model
title_sort ldl-cholesterol trajectories and statin treatment in finnish type 2 diabetes patients: a growth mixture model
publisher Nature Portfolio
publishDate 2021
url https://doi.org/10.1038/s41598-021-02077-6
https://doaj.org/article/4c8a021b23184b2b8b329e1270eb3ba9
genre karelia*
genre_facet karelia*
op_source Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
op_relation https://doi.org/10.1038/s41598-021-02077-6
https://doaj.org/toc/2045-2322
doi:10.1038/s41598-021-02077-6
2045-2322
https://doaj.org/article/4c8a021b23184b2b8b329e1270eb3ba9
op_doi https://doi.org/10.1038/s41598-021-02077-6
container_title Scientific Reports
container_volume 11
container_issue 1
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