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Analysis of treatment pattern of anti-dementia medications in newly diagnosed Alzheimer’s dementia using OMOP CDM

Anti-dementia medications are widely prescribed to patients with Alzheimer’s dementia (AD) in South Korea. This study investigated the pattern of medical management in newly diagnosed patients with AD using a standardized data format—the Observational Medical Outcome Partnership Common Data Model fr...

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Autores principales: Byun, JungHyun, Lee, Dong Yun, Jeong, Chang-Won, Kim, Yerim, Rhee, Hak Young, Moon, Ki Won, Heo, Jeongwon, Hong, Yoonki, Kim, Woo Jin, Nam, Seung-Joo, Choi, Hoon Sung, Park, Ji In, Chun, In Kook, Bak, So Hyeon, Lee, Kyoungyul, Byeon, Gi Hwan, Kim, Kyoung Lae, Kim, Jeong-Ah, Park, Young Joo, Kim, Jeong Hyun, Lee, Eun ju, Lee, Sang-Ah, Kwon, Sung Ok, Park, Sang-Won, Kasani, Payam Hosseinzadeh, Kim, Jung-Kyeom, Kim, Yeshin, Kim, Seongheon, Jang, Jae-Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924152/
https://www.ncbi.nlm.nih.gov/pubmed/35292697
http://dx.doi.org/10.1038/s41598-022-08595-1
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author Byun, JungHyun
Lee, Dong Yun
Jeong, Chang-Won
Kim, Yerim
Rhee, Hak Young
Moon, Ki Won
Heo, Jeongwon
Hong, Yoonki
Kim, Woo Jin
Nam, Seung-Joo
Choi, Hoon Sung
Park, Ji In
Chun, In Kook
Bak, So Hyeon
Lee, Kyoungyul
Byeon, Gi Hwan
Kim, Kyoung Lae
Kim, Jeong-Ah
Park, Young Joo
Kim, Jeong Hyun
Lee, Eun ju
Lee, Sang-Ah
Kwon, Sung Ok
Park, Sang-Won
Kasani, Payam Hosseinzadeh
Kim, Jung-Kyeom
Kim, Yeshin
Kim, Seongheon
Jang, Jae-Won
author_facet Byun, JungHyun
Lee, Dong Yun
Jeong, Chang-Won
Kim, Yerim
Rhee, Hak Young
Moon, Ki Won
Heo, Jeongwon
Hong, Yoonki
Kim, Woo Jin
Nam, Seung-Joo
Choi, Hoon Sung
Park, Ji In
Chun, In Kook
Bak, So Hyeon
Lee, Kyoungyul
Byeon, Gi Hwan
Kim, Kyoung Lae
Kim, Jeong-Ah
Park, Young Joo
Kim, Jeong Hyun
Lee, Eun ju
Lee, Sang-Ah
Kwon, Sung Ok
Park, Sang-Won
Kasani, Payam Hosseinzadeh
Kim, Jung-Kyeom
Kim, Yeshin
Kim, Seongheon
Jang, Jae-Won
author_sort Byun, JungHyun
collection PubMed
description Anti-dementia medications are widely prescribed to patients with Alzheimer’s dementia (AD) in South Korea. This study investigated the pattern of medical management in newly diagnosed patients with AD using a standardized data format—the Observational Medical Outcome Partnership Common Data Model from five hospitals. We examined the anti-dementia treatment patterns from datasets that comprise > 5 million patients during 2009–2019. The medication utility information was analyzed with respect to treatment trends and persistence across 11 years. Among the 8653 patients with newly diagnosed AD, donepezil was the most commonly prescribed anti-dementia medication (4218; 48.75%), followed by memantine (1565; 18.09%), rivastigmine (1777; 8.98%), and galantamine (494; 5.71%). The rising prescription trend during observation period was found only with donepezil. The treatment pathways for the three cholinesterase inhibitors combined with N-methyl-d-aspartate receptor antagonist were different according to the drugs (19.6%; donepezil; 28.1%; rivastigmine, and 17.2%; galantamine). A 12-month persistence analysis showed values of approximately 50% for donepezil and memantine and approximately 40% for rivastigmine and galantamine. There were differences in the prescribing pattern and persistence among anti-dementia medications from database using the Observational Medical Outcome Partnership Common Data Model on the Federated E-health Big Data for Evidence Renovation Network platform in Korea.
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spelling pubmed-89241522022-03-16 Analysis of treatment pattern of anti-dementia medications in newly diagnosed Alzheimer’s dementia using OMOP CDM Byun, JungHyun Lee, Dong Yun Jeong, Chang-Won Kim, Yerim Rhee, Hak Young Moon, Ki Won Heo, Jeongwon Hong, Yoonki Kim, Woo Jin Nam, Seung-Joo Choi, Hoon Sung Park, Ji In Chun, In Kook Bak, So Hyeon Lee, Kyoungyul Byeon, Gi Hwan Kim, Kyoung Lae Kim, Jeong-Ah Park, Young Joo Kim, Jeong Hyun Lee, Eun ju Lee, Sang-Ah Kwon, Sung Ok Park, Sang-Won Kasani, Payam Hosseinzadeh Kim, Jung-Kyeom Kim, Yeshin Kim, Seongheon Jang, Jae-Won Sci Rep Article Anti-dementia medications are widely prescribed to patients with Alzheimer’s dementia (AD) in South Korea. This study investigated the pattern of medical management in newly diagnosed patients with AD using a standardized data format—the Observational Medical Outcome Partnership Common Data Model from five hospitals. We examined the anti-dementia treatment patterns from datasets that comprise > 5 million patients during 2009–2019. The medication utility information was analyzed with respect to treatment trends and persistence across 11 years. Among the 8653 patients with newly diagnosed AD, donepezil was the most commonly prescribed anti-dementia medication (4218; 48.75%), followed by memantine (1565; 18.09%), rivastigmine (1777; 8.98%), and galantamine (494; 5.71%). The rising prescription trend during observation period was found only with donepezil. The treatment pathways for the three cholinesterase inhibitors combined with N-methyl-d-aspartate receptor antagonist were different according to the drugs (19.6%; donepezil; 28.1%; rivastigmine, and 17.2%; galantamine). A 12-month persistence analysis showed values of approximately 50% for donepezil and memantine and approximately 40% for rivastigmine and galantamine. There were differences in the prescribing pattern and persistence among anti-dementia medications from database using the Observational Medical Outcome Partnership Common Data Model on the Federated E-health Big Data for Evidence Renovation Network platform in Korea. Nature Publishing Group UK 2022-03-15 /pmc/articles/PMC8924152/ /pubmed/35292697 http://dx.doi.org/10.1038/s41598-022-08595-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Byun, JungHyun
Lee, Dong Yun
Jeong, Chang-Won
Kim, Yerim
Rhee, Hak Young
Moon, Ki Won
Heo, Jeongwon
Hong, Yoonki
Kim, Woo Jin
Nam, Seung-Joo
Choi, Hoon Sung
Park, Ji In
Chun, In Kook
Bak, So Hyeon
Lee, Kyoungyul
Byeon, Gi Hwan
Kim, Kyoung Lae
Kim, Jeong-Ah
Park, Young Joo
Kim, Jeong Hyun
Lee, Eun ju
Lee, Sang-Ah
Kwon, Sung Ok
Park, Sang-Won
Kasani, Payam Hosseinzadeh
Kim, Jung-Kyeom
Kim, Yeshin
Kim, Seongheon
Jang, Jae-Won
Analysis of treatment pattern of anti-dementia medications in newly diagnosed Alzheimer’s dementia using OMOP CDM
title Analysis of treatment pattern of anti-dementia medications in newly diagnosed Alzheimer’s dementia using OMOP CDM
title_full Analysis of treatment pattern of anti-dementia medications in newly diagnosed Alzheimer’s dementia using OMOP CDM
title_fullStr Analysis of treatment pattern of anti-dementia medications in newly diagnosed Alzheimer’s dementia using OMOP CDM
title_full_unstemmed Analysis of treatment pattern of anti-dementia medications in newly diagnosed Alzheimer’s dementia using OMOP CDM
title_short Analysis of treatment pattern of anti-dementia medications in newly diagnosed Alzheimer’s dementia using OMOP CDM
title_sort analysis of treatment pattern of anti-dementia medications in newly diagnosed alzheimer’s dementia using omop cdm
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924152/
https://www.ncbi.nlm.nih.gov/pubmed/35292697
http://dx.doi.org/10.1038/s41598-022-08595-1
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