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Visualizing Patterns of Medication Switching Among Major Depressive Patients with Various Stability and Difficulty to Treatments
INTRODUCTION: Efforts have been made in assessing efficacy and tolerability to various antidepressants, but understanding personalized chances of stability to medication switching sequence is still inconclusive. This study aimed to identify naturalistic switching patterns of medication in stratifyin...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8217841/ https://www.ncbi.nlm.nih.gov/pubmed/34168454 http://dx.doi.org/10.2147/NDT.S311429 |
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author | Hung, Yu-Chun Chen, Hsi-Chung Kuo, Po-Hsiu Lu, Mong-Liang Huang, Ming-Chyi Chen, Chun-Hsin Wang, Sabrina Mao, Wei-Chung Wu, Chang-Shiann Wu, Tzu-Hua |
author_facet | Hung, Yu-Chun Chen, Hsi-Chung Kuo, Po-Hsiu Lu, Mong-Liang Huang, Ming-Chyi Chen, Chun-Hsin Wang, Sabrina Mao, Wei-Chung Wu, Chang-Shiann Wu, Tzu-Hua |
author_sort | Hung, Yu-Chun |
collection | PubMed |
description | INTRODUCTION: Efforts have been made in assessing efficacy and tolerability to various antidepressants, but understanding personalized chances of stability to medication switching sequence is still inconclusive. This study aimed to identify naturalistic switching patterns of medication in stratifying MDD patients. METHODS: MDD patients were stratified based on treatment difficulty evaluated with the “Treatment Resistance to Antidepressants Evaluation Scale for Unipolar Depression” (TRADES). The duration of the time of diagnoses until the final switch to another class of antidepressants was used as prediction of unstable to drug therapy. ROC analysis was used to determine the cutoff values. A continuous temporal events function from the visual analytic tool was employed to perform patterns of switching between distinct pharmacological class such as selective serotonin reuptake inhibitors (SSRIs) and serotonin-norepinephrine reuptake inhibitors (SNRIs). RESULTS: TRADES scores of 4.5 and not-switching times of 12.5 months were used as cutoff values to divide patients into four subgroups: stable/easy-to-treat (SE), unstable/easy-to-treat (UE), stable/difficult-to-treat (SD) and unstable/difficult-to-treat (UD). A total of 80% and 76.9% of patients initially treated with the SSRIs paroxetine or fluoxetine, respectively, were predicted to be stable to drug therapy. Approximately 70%, 44.8% and 41.4% of patients initially treated with the SNRIs fluvoxamine, sertraline and venlafaxine, respectively, were predicted to be UD, and 60% of patients using duloxetine were predicted to be stable to drug therapy. Analysis of the switching phenomenon showed that SSRIs were the first prescribed medications and mostly taken by the stable subgroups, and SNRIs were the preferentially chosen switching alternative. Medication switching patterns in unstable MDD patients are discussed. CONCLUSION: Paroxetine, fluoxetine and duloxetine users were mostly stable among MDD patients in Taiwan with various stability and difficulty to treatments. Although responsiveness to specific medication sequence is likely required for clinical application, the results provide a baseline for such studies. |
format | Online Article Text |
id | pubmed-8217841 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-82178412021-06-23 Visualizing Patterns of Medication Switching Among Major Depressive Patients with Various Stability and Difficulty to Treatments Hung, Yu-Chun Chen, Hsi-Chung Kuo, Po-Hsiu Lu, Mong-Liang Huang, Ming-Chyi Chen, Chun-Hsin Wang, Sabrina Mao, Wei-Chung Wu, Chang-Shiann Wu, Tzu-Hua Neuropsychiatr Dis Treat Original Research INTRODUCTION: Efforts have been made in assessing efficacy and tolerability to various antidepressants, but understanding personalized chances of stability to medication switching sequence is still inconclusive. This study aimed to identify naturalistic switching patterns of medication in stratifying MDD patients. METHODS: MDD patients were stratified based on treatment difficulty evaluated with the “Treatment Resistance to Antidepressants Evaluation Scale for Unipolar Depression” (TRADES). The duration of the time of diagnoses until the final switch to another class of antidepressants was used as prediction of unstable to drug therapy. ROC analysis was used to determine the cutoff values. A continuous temporal events function from the visual analytic tool was employed to perform patterns of switching between distinct pharmacological class such as selective serotonin reuptake inhibitors (SSRIs) and serotonin-norepinephrine reuptake inhibitors (SNRIs). RESULTS: TRADES scores of 4.5 and not-switching times of 12.5 months were used as cutoff values to divide patients into four subgroups: stable/easy-to-treat (SE), unstable/easy-to-treat (UE), stable/difficult-to-treat (SD) and unstable/difficult-to-treat (UD). A total of 80% and 76.9% of patients initially treated with the SSRIs paroxetine or fluoxetine, respectively, were predicted to be stable to drug therapy. Approximately 70%, 44.8% and 41.4% of patients initially treated with the SNRIs fluvoxamine, sertraline and venlafaxine, respectively, were predicted to be UD, and 60% of patients using duloxetine were predicted to be stable to drug therapy. Analysis of the switching phenomenon showed that SSRIs were the first prescribed medications and mostly taken by the stable subgroups, and SNRIs were the preferentially chosen switching alternative. Medication switching patterns in unstable MDD patients are discussed. CONCLUSION: Paroxetine, fluoxetine and duloxetine users were mostly stable among MDD patients in Taiwan with various stability and difficulty to treatments. Although responsiveness to specific medication sequence is likely required for clinical application, the results provide a baseline for such studies. Dove 2021-06-16 /pmc/articles/PMC8217841/ /pubmed/34168454 http://dx.doi.org/10.2147/NDT.S311429 Text en © 2021 Hung et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Hung, Yu-Chun Chen, Hsi-Chung Kuo, Po-Hsiu Lu, Mong-Liang Huang, Ming-Chyi Chen, Chun-Hsin Wang, Sabrina Mao, Wei-Chung Wu, Chang-Shiann Wu, Tzu-Hua Visualizing Patterns of Medication Switching Among Major Depressive Patients with Various Stability and Difficulty to Treatments |
title | Visualizing Patterns of Medication Switching Among Major Depressive Patients with Various Stability and Difficulty to Treatments |
title_full | Visualizing Patterns of Medication Switching Among Major Depressive Patients with Various Stability and Difficulty to Treatments |
title_fullStr | Visualizing Patterns of Medication Switching Among Major Depressive Patients with Various Stability and Difficulty to Treatments |
title_full_unstemmed | Visualizing Patterns of Medication Switching Among Major Depressive Patients with Various Stability and Difficulty to Treatments |
title_short | Visualizing Patterns of Medication Switching Among Major Depressive Patients with Various Stability and Difficulty to Treatments |
title_sort | visualizing patterns of medication switching among major depressive patients with various stability and difficulty to treatments |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8217841/ https://www.ncbi.nlm.nih.gov/pubmed/34168454 http://dx.doi.org/10.2147/NDT.S311429 |
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