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Antiarrhythmic drug usage and prostate cancer: a population-based cohort study
Even though the relationship between antiarrhythmic drug usage and subsequent prostate cancer (PCa) risk has recently been highlighted, relevant findings in the previous literature are still inconsistent. In addition, very few studies have attempted to investigate the association between sodium chan...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753552/ https://www.ncbi.nlm.nih.gov/pubmed/28857052 http://dx.doi.org/10.4103/aja.aja_26_17 |
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author | Kao, Li-Ting Huang, Chung-Chien Lin, Herng-Ching Huang, Chao-Yuan |
author_facet | Kao, Li-Ting Huang, Chung-Chien Lin, Herng-Ching Huang, Chao-Yuan |
author_sort | Kao, Li-Ting |
collection | PubMed |
description | Even though the relationship between antiarrhythmic drug usage and subsequent prostate cancer (PCa) risk has recently been highlighted, relevant findings in the previous literature are still inconsistent. In addition, very few studies have attempted to investigate the association between sodium channel blockers or potassium channel blockers for arrhythmia and the subsequent PCa risk. Therefore, this cohort study aimed to find the relationship between antiarrhythmic drug usage and the subsequent PCa risk using a population-based dataset. The data used in this study were derived from the Longitudinal Health Insurance Database 2005, Taiwan, China. We respectively identified 9988 sodium channel blocker users, 3663 potassium channel blocker users, 65 966 beta-blocker users, 23 366 calcium channel blockers users, and 7031 digoxin users as the study cohorts. The matched comparison cohorts (one comparison subject for each antiarrhythmic drug user) were selected from the same dataset. Each patient was tracked for a 5-year period to define those who were subsequently diagnosed with PCa. After adjusting for sociodemographic characteristics, comorbidities, and age, Cox proportional hazard regressions found that the hazard ratio (HR) of subsequent PCa for sodium channel blocker users was 1.12 (95% confidence interval [CI]: 0.84–1.50), for potassium channel blocker users was 0.89 (95% CI: 0.59–1.34), for beta-blocker users was 1.08 (95% CI: 0.96–1.22), for calcium channel blocker users was 1.14 (95% CI: 0.95–1.36), and for digoxin users was 0.89 (95% CI: 0.67–1.18), compared to their matched nonusers. We concluded that there were no statistical associations between different types of antiarrhythmic drug usage and subsequent PCa risk. |
format | Online Article Text |
id | pubmed-5753552 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-57535522018-01-05 Antiarrhythmic drug usage and prostate cancer: a population-based cohort study Kao, Li-Ting Huang, Chung-Chien Lin, Herng-Ching Huang, Chao-Yuan Asian J Androl Original Article Even though the relationship between antiarrhythmic drug usage and subsequent prostate cancer (PCa) risk has recently been highlighted, relevant findings in the previous literature are still inconsistent. In addition, very few studies have attempted to investigate the association between sodium channel blockers or potassium channel blockers for arrhythmia and the subsequent PCa risk. Therefore, this cohort study aimed to find the relationship between antiarrhythmic drug usage and the subsequent PCa risk using a population-based dataset. The data used in this study were derived from the Longitudinal Health Insurance Database 2005, Taiwan, China. We respectively identified 9988 sodium channel blocker users, 3663 potassium channel blocker users, 65 966 beta-blocker users, 23 366 calcium channel blockers users, and 7031 digoxin users as the study cohorts. The matched comparison cohorts (one comparison subject for each antiarrhythmic drug user) were selected from the same dataset. Each patient was tracked for a 5-year period to define those who were subsequently diagnosed with PCa. After adjusting for sociodemographic characteristics, comorbidities, and age, Cox proportional hazard regressions found that the hazard ratio (HR) of subsequent PCa for sodium channel blocker users was 1.12 (95% confidence interval [CI]: 0.84–1.50), for potassium channel blocker users was 0.89 (95% CI: 0.59–1.34), for beta-blocker users was 1.08 (95% CI: 0.96–1.22), for calcium channel blocker users was 1.14 (95% CI: 0.95–1.36), and for digoxin users was 0.89 (95% CI: 0.67–1.18), compared to their matched nonusers. We concluded that there were no statistical associations between different types of antiarrhythmic drug usage and subsequent PCa risk. Medknow Publications & Media Pvt Ltd 2018 2017-08-29 /pmc/articles/PMC5753552/ /pubmed/28857052 http://dx.doi.org/10.4103/aja.aja_26_17 Text en Copyright: © The Author(s)(2017) http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Kao, Li-Ting Huang, Chung-Chien Lin, Herng-Ching Huang, Chao-Yuan Antiarrhythmic drug usage and prostate cancer: a population-based cohort study |
title | Antiarrhythmic drug usage and prostate cancer: a population-based cohort study |
title_full | Antiarrhythmic drug usage and prostate cancer: a population-based cohort study |
title_fullStr | Antiarrhythmic drug usage and prostate cancer: a population-based cohort study |
title_full_unstemmed | Antiarrhythmic drug usage and prostate cancer: a population-based cohort study |
title_short | Antiarrhythmic drug usage and prostate cancer: a population-based cohort study |
title_sort | antiarrhythmic drug usage and prostate cancer: a population-based cohort study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753552/ https://www.ncbi.nlm.nih.gov/pubmed/28857052 http://dx.doi.org/10.4103/aja.aja_26_17 |
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