Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
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
_version_ 1783710674469257216
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
work_keys_str_mv AT hungyuchun visualizingpatternsofmedicationswitchingamongmajordepressivepatientswithvariousstabilityanddifficultytotreatments
AT chenhsichung visualizingpatternsofmedicationswitchingamongmajordepressivepatientswithvariousstabilityanddifficultytotreatments
AT kuopohsiu visualizingpatternsofmedicationswitchingamongmajordepressivepatientswithvariousstabilityanddifficultytotreatments
AT lumongliang visualizingpatternsofmedicationswitchingamongmajordepressivepatientswithvariousstabilityanddifficultytotreatments
AT huangmingchyi visualizingpatternsofmedicationswitchingamongmajordepressivepatientswithvariousstabilityanddifficultytotreatments
AT chenchunhsin visualizingpatternsofmedicationswitchingamongmajordepressivepatientswithvariousstabilityanddifficultytotreatments
AT wangsabrina visualizingpatternsofmedicationswitchingamongmajordepressivepatientswithvariousstabilityanddifficultytotreatments
AT maoweichung visualizingpatternsofmedicationswitchingamongmajordepressivepatientswithvariousstabilityanddifficultytotreatments
AT wuchangshiann visualizingpatternsofmedicationswitchingamongmajordepressivepatientswithvariousstabilityanddifficultytotreatments
AT wutzuhua visualizingpatternsofmedicationswitchingamongmajordepressivepatientswithvariousstabilityanddifficultytotreatments