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A New Drug Safety Signal Detection and Triage System Integrating Sequence Symmetry Analysis and Tree-Based Scan Statistics with Longitudinal Data

PURPOSE: Development and evaluation of a drug-safety signal detection system integrating data-mining tools in longitudinal data is essential. This study aimed to construct a new triage system using longitudinal data for drug-safety signal detection, integrating data-mining tools, and evaluate adapta...

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Autores principales: Hsieh, Miyuki Hsing-Chun, Liang, Hsun-Yin, Tsai, Chih-Ying, Tseng, Yu-Ting, Chao, Pi-Hui, Huang, Wei-I, Chen, Wen-Wen, Lin, Swu-Jane, Lai, Edward Chia-Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868282/
https://www.ncbi.nlm.nih.gov/pubmed/36699647
http://dx.doi.org/10.2147/CLEP.S395922
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author Hsieh, Miyuki Hsing-Chun
Liang, Hsun-Yin
Tsai, Chih-Ying
Tseng, Yu-Ting
Chao, Pi-Hui
Huang, Wei-I
Chen, Wen-Wen
Lin, Swu-Jane
Lai, Edward Chia-Cheng
author_facet Hsieh, Miyuki Hsing-Chun
Liang, Hsun-Yin
Tsai, Chih-Ying
Tseng, Yu-Ting
Chao, Pi-Hui
Huang, Wei-I
Chen, Wen-Wen
Lin, Swu-Jane
Lai, Edward Chia-Cheng
author_sort Hsieh, Miyuki Hsing-Chun
collection PubMed
description PURPOSE: Development and evaluation of a drug-safety signal detection system integrating data-mining tools in longitudinal data is essential. This study aimed to construct a new triage system using longitudinal data for drug-safety signal detection, integrating data-mining tools, and evaluate adaptability of such system. PATIENTS AND METHODS: Based on relevant guidelines and structural frameworks in Taiwan’s pharmacovigilance system, we constructed a triage system integrating sequence symmetry analysis (SSA) and tree-based scan statistics (TreeScan) as data-mining tools for detecting safety signals. We conducted an exploratory analysis utilizing Taiwan’s National Health Insurance Database and selecting two drug classes (sodium-glucose co-transporter-2 inhibitors (SGLT2i) and non-fluorinated quinolones (NFQ)) as chronic and episodic treatment respectively, as examples to test feasibility of the system. RESULTS: Under the proposed system, either cohort-based or self-controlled mining with SSA and TreeScan was selected, based on whether the screened drug had an appropriate comparator. All detected alerts were further classified as known adverse drug reactions (ADRs), events related to other causes or potential signals from the triage algorithm, building on existing drug labels and clinical judgement. Exploratory analysis revealed greater numbers of signals for NFQ with a relatively low proportion of known ADRs; most were related to indication, patient characteristics or bias. No safety signals were found. By contrast, most SGLT2i signals were known ADRs or events related to patient characteristics. Four were potential signals warranting further investigation. CONCLUSION: The proposed system facilitated active and systematic screening to detect and classify potential safety signals. Countries with real-world longitudinal data could adopt it to streamline drug-safety surveillance.
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spelling pubmed-98682822023-01-24 A New Drug Safety Signal Detection and Triage System Integrating Sequence Symmetry Analysis and Tree-Based Scan Statistics with Longitudinal Data Hsieh, Miyuki Hsing-Chun Liang, Hsun-Yin Tsai, Chih-Ying Tseng, Yu-Ting Chao, Pi-Hui Huang, Wei-I Chen, Wen-Wen Lin, Swu-Jane Lai, Edward Chia-Cheng Clin Epidemiol Original Research PURPOSE: Development and evaluation of a drug-safety signal detection system integrating data-mining tools in longitudinal data is essential. This study aimed to construct a new triage system using longitudinal data for drug-safety signal detection, integrating data-mining tools, and evaluate adaptability of such system. PATIENTS AND METHODS: Based on relevant guidelines and structural frameworks in Taiwan’s pharmacovigilance system, we constructed a triage system integrating sequence symmetry analysis (SSA) and tree-based scan statistics (TreeScan) as data-mining tools for detecting safety signals. We conducted an exploratory analysis utilizing Taiwan’s National Health Insurance Database and selecting two drug classes (sodium-glucose co-transporter-2 inhibitors (SGLT2i) and non-fluorinated quinolones (NFQ)) as chronic and episodic treatment respectively, as examples to test feasibility of the system. RESULTS: Under the proposed system, either cohort-based or self-controlled mining with SSA and TreeScan was selected, based on whether the screened drug had an appropriate comparator. All detected alerts were further classified as known adverse drug reactions (ADRs), events related to other causes or potential signals from the triage algorithm, building on existing drug labels and clinical judgement. Exploratory analysis revealed greater numbers of signals for NFQ with a relatively low proportion of known ADRs; most were related to indication, patient characteristics or bias. No safety signals were found. By contrast, most SGLT2i signals were known ADRs or events related to patient characteristics. Four were potential signals warranting further investigation. CONCLUSION: The proposed system facilitated active and systematic screening to detect and classify potential safety signals. Countries with real-world longitudinal data could adopt it to streamline drug-safety surveillance. Dove 2023-01-18 /pmc/articles/PMC9868282/ /pubmed/36699647 http://dx.doi.org/10.2147/CLEP.S395922 Text en © 2023 Hsieh 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
Hsieh, Miyuki Hsing-Chun
Liang, Hsun-Yin
Tsai, Chih-Ying
Tseng, Yu-Ting
Chao, Pi-Hui
Huang, Wei-I
Chen, Wen-Wen
Lin, Swu-Jane
Lai, Edward Chia-Cheng
A New Drug Safety Signal Detection and Triage System Integrating Sequence Symmetry Analysis and Tree-Based Scan Statistics with Longitudinal Data
title A New Drug Safety Signal Detection and Triage System Integrating Sequence Symmetry Analysis and Tree-Based Scan Statistics with Longitudinal Data
title_full A New Drug Safety Signal Detection and Triage System Integrating Sequence Symmetry Analysis and Tree-Based Scan Statistics with Longitudinal Data
title_fullStr A New Drug Safety Signal Detection and Triage System Integrating Sequence Symmetry Analysis and Tree-Based Scan Statistics with Longitudinal Data
title_full_unstemmed A New Drug Safety Signal Detection and Triage System Integrating Sequence Symmetry Analysis and Tree-Based Scan Statistics with Longitudinal Data
title_short A New Drug Safety Signal Detection and Triage System Integrating Sequence Symmetry Analysis and Tree-Based Scan Statistics with Longitudinal Data
title_sort new drug safety signal detection and triage system integrating sequence symmetry analysis and tree-based scan statistics with longitudinal data
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868282/
https://www.ncbi.nlm.nih.gov/pubmed/36699647
http://dx.doi.org/10.2147/CLEP.S395922
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