Byun_2022_Sci.Rep_12_4451

Reference

Title : Analysis of treatment pattern of anti-dementia medications in newly diagnosed Alzheimer's dementia using OMOP CDM - Byun_2022_Sci.Rep_12_4451
Author(s) : Byun J , Lee DY , Jeong CW , Kim Y , Rhee HY , Moon KW , Heo J , Hong Y , Kim WJ , Nam SJ , Choi HS , Park JI , Chun IK , Bak SH , Lee K , Byeon GH , Kim KL , Kim JA , Park YJ , Kim JH , Lee EJ , Lee SA , Kwon SO , Park SW , Kasani PH , Kim JK , Kim S , Jang JW
Ref : Sci Rep , 12 :4451 , 2022
Abstract :

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.

PubMedSearch : Byun_2022_Sci.Rep_12_4451
PubMedID: 35292697

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Citations formats

Byun J, Lee DY, Jeong CW, Kim Y, Rhee HY, Moon KW, Heo J, Hong Y, Kim WJ, Nam SJ, Choi HS, Park JI, Chun IK, Bak SH, Lee K, Byeon GH, Kim KL, Kim JA, Park YJ, Kim JH, Lee EJ, Lee SA, Kwon SO, Park SW, Kasani PH, Kim JK, Kim S, Jang JW (2022)
Analysis of treatment pattern of anti-dementia medications in newly diagnosed Alzheimer's dementia using OMOP CDM
Sci Rep 12 :4451

Byun J, Lee DY, Jeong CW, Kim Y, Rhee HY, Moon KW, Heo J, Hong Y, Kim WJ, Nam SJ, Choi HS, Park JI, Chun IK, Bak SH, Lee K, Byeon GH, Kim KL, Kim JA, Park YJ, Kim JH, Lee EJ, Lee SA, Kwon SO, Park SW, Kasani PH, Kim JK, Kim S, Jang JW (2022)
Sci Rep 12 :4451