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Potential drug–drug interactions in patients with cardiovascular diseases: findings from a prospective observational study
BACKGROUND: Patients with cardiovascular diseases (CVD) are at high risk of experiencing drug–drug interactions (DDIs). The objective of this study was to evaluate the frequency, level and risk factors associated with potential-DDIs (pDDIs) in hospitalized CVD patients at cardiology departments of t...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8311960/ https://www.ncbi.nlm.nih.gov/pubmed/34311787 http://dx.doi.org/10.1186/s40545-021-00348-1 |
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author | Akbar, Zarka Rehman, Sundas Khan, Asad Khan, Amjad Atif, Muhammad Ahmad, Nafees |
author_facet | Akbar, Zarka Rehman, Sundas Khan, Asad Khan, Amjad Atif, Muhammad Ahmad, Nafees |
author_sort | Akbar, Zarka |
collection | PubMed |
description | BACKGROUND: Patients with cardiovascular diseases (CVD) are at high risk of experiencing drug–drug interactions (DDIs). The objective of this study was to evaluate the frequency, level and risk factors associated with potential-DDIs (pDDIs) in hospitalized CVD patients at cardiology departments of two tertiary care hospitals in Quetta, Pakistan. METHODS: In the current prospective observational study, a total of 300 eligible CVD inpatients were evaluated for pDDIs using Lexicomp Interact®. The pDDIs were classified into class A (no known interaction); B (no action needed); C (monitor therapy: it is documented that the benefits of an interaction outweigh the risk, appropriately monitor therapy in order to avoid potential adverse outcomes); D (consider therapy modification: it is documented that proper actions must be taken to reduce the toxicity resulting from an interaction); X (avoid combination: the risk of an interaction outweighs the benefits and are usually contraindicated). Multivariate binary logistic regression analysis was used to find factors associated with the presence of Class-D and/or X pDDIs. A p-value < 0.05 was considered statistically significant. RESULTS: With a median of 8.50 pDDIs per patient, all patients (100%) had ≥ 1 pDDIs. Out of total 2787 pDDIs observed, 74.06% (n = 2064) were of moderate and (n = 483) 17.33% of major severity. Class C pDDIs were most common (n = 1971, 70.72%) followed by D (n = 582, 20.88%), B (n = 204, 7.32%) and X (n = 30, 1.08%). Suffering from cardiovascular diseases other than myocardial infarction (OR 0.053, p-value < 0.001) and receiving > 12 drugs (OR 4.187, p-value = 0.009) had statistical significant association with the presence of class D and/or X pDDIs. CONCLUSION: In the current study, pDDIs were highly prevalent. The inclusion of DDI screening tools, availability of clinical pharmacists and paying special attention to the high-risk patients may reduce the frequency of pDDIs at the study sites. |
format | Online Article Text |
id | pubmed-8311960 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-83119602021-07-28 Potential drug–drug interactions in patients with cardiovascular diseases: findings from a prospective observational study Akbar, Zarka Rehman, Sundas Khan, Asad Khan, Amjad Atif, Muhammad Ahmad, Nafees J Pharm Policy Pract Research BACKGROUND: Patients with cardiovascular diseases (CVD) are at high risk of experiencing drug–drug interactions (DDIs). The objective of this study was to evaluate the frequency, level and risk factors associated with potential-DDIs (pDDIs) in hospitalized CVD patients at cardiology departments of two tertiary care hospitals in Quetta, Pakistan. METHODS: In the current prospective observational study, a total of 300 eligible CVD inpatients were evaluated for pDDIs using Lexicomp Interact®. The pDDIs were classified into class A (no known interaction); B (no action needed); C (monitor therapy: it is documented that the benefits of an interaction outweigh the risk, appropriately monitor therapy in order to avoid potential adverse outcomes); D (consider therapy modification: it is documented that proper actions must be taken to reduce the toxicity resulting from an interaction); X (avoid combination: the risk of an interaction outweighs the benefits and are usually contraindicated). Multivariate binary logistic regression analysis was used to find factors associated with the presence of Class-D and/or X pDDIs. A p-value < 0.05 was considered statistically significant. RESULTS: With a median of 8.50 pDDIs per patient, all patients (100%) had ≥ 1 pDDIs. Out of total 2787 pDDIs observed, 74.06% (n = 2064) were of moderate and (n = 483) 17.33% of major severity. Class C pDDIs were most common (n = 1971, 70.72%) followed by D (n = 582, 20.88%), B (n = 204, 7.32%) and X (n = 30, 1.08%). Suffering from cardiovascular diseases other than myocardial infarction (OR 0.053, p-value < 0.001) and receiving > 12 drugs (OR 4.187, p-value = 0.009) had statistical significant association with the presence of class D and/or X pDDIs. CONCLUSION: In the current study, pDDIs were highly prevalent. The inclusion of DDI screening tools, availability of clinical pharmacists and paying special attention to the high-risk patients may reduce the frequency of pDDIs at the study sites. BioMed Central 2021-07-26 /pmc/articles/PMC8311960/ /pubmed/34311787 http://dx.doi.org/10.1186/s40545-021-00348-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Akbar, Zarka Rehman, Sundas Khan, Asad Khan, Amjad Atif, Muhammad Ahmad, Nafees Potential drug–drug interactions in patients with cardiovascular diseases: findings from a prospective observational study |
title | Potential drug–drug interactions in patients with cardiovascular diseases: findings from a prospective observational study |
title_full | Potential drug–drug interactions in patients with cardiovascular diseases: findings from a prospective observational study |
title_fullStr | Potential drug–drug interactions in patients with cardiovascular diseases: findings from a prospective observational study |
title_full_unstemmed | Potential drug–drug interactions in patients with cardiovascular diseases: findings from a prospective observational study |
title_short | Potential drug–drug interactions in patients with cardiovascular diseases: findings from a prospective observational study |
title_sort | potential drug–drug interactions in patients with cardiovascular diseases: findings from a prospective observational study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8311960/ https://www.ncbi.nlm.nih.gov/pubmed/34311787 http://dx.doi.org/10.1186/s40545-021-00348-1 |
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