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Effect of the chronic medication use on outcome measures of hospitalized COVID-19 patients: Evidence from big data
BACKGROUND: Concerns about the role of chronically used medications in the clinical outcomes of the coronavirus disease 2019 (COVID-19) have remarkable potential for the breakdown of non-communicable diseases (NCDs) management by imposing ambivalence toward medication continuation. This study aimed...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9998941/ https://www.ncbi.nlm.nih.gov/pubmed/36908454 http://dx.doi.org/10.3389/fpubh.2023.1061307 |
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author | Malekpour, Mohammad-Reza Abbasi-Kangevari, Mohsen Shojaee, Ali Saeedi Moghaddam, Sahar Ghamari, Seyyed-Hadi Rashidi, Mohammad-Mahdi Namazi Shabestari, Alireza Effatpanah, Mohammad Nasehi, Mohammadmehdi Rezaei, Mehdi Farzadfar, Farshad |
author_facet | Malekpour, Mohammad-Reza Abbasi-Kangevari, Mohsen Shojaee, Ali Saeedi Moghaddam, Sahar Ghamari, Seyyed-Hadi Rashidi, Mohammad-Mahdi Namazi Shabestari, Alireza Effatpanah, Mohammad Nasehi, Mohammadmehdi Rezaei, Mehdi Farzadfar, Farshad |
author_sort | Malekpour, Mohammad-Reza |
collection | PubMed |
description | BACKGROUND: Concerns about the role of chronically used medications in the clinical outcomes of the coronavirus disease 2019 (COVID-19) have remarkable potential for the breakdown of non-communicable diseases (NCDs) management by imposing ambivalence toward medication continuation. This study aimed to investigate the association of single or combinations of chronically used medications in NCDs with clinical outcomes of COVID-19. METHODS: This retrospective study was conducted on the intersection of two databases, the Iranian COVID-19 registry and Iran Health Insurance Organization. The primary outcome was death due to COVID-19 hospitalization, and secondary outcomes included length of hospital stay, Intensive Care Unit (ICU) admission, and ventilation therapy. The Anatomical Therapeutic Chemical (ATC) classification system was used for medication grouping. The frequent pattern growth algorithm was utilized to investigate the effect of medication combinations on COVID-19 outcomes. FINDINGS: Aspirin with chronic use in 10.8% of hospitalized COVID-19 patients was the most frequently used medication, followed by Atorvastatin (9.2%) and Losartan (8.0%). Adrenergics in combination with corticosteroids inhalants (ACIs) with an odds ratio (OR) of 0.79 (95% confidence interval: 0.68–0.92) were the most associated medications with less chance of ventilation therapy. Oxicams had the least OR of 0.80 (0.73–0.87) for COVID-19 death, followed by ACIs [0.85 (0.77–0.95)] and Biguanides [0.86 (0.82–0.91)]. CONCLUSION: The chronic use of most frequently used medications for NCDs management was not associated with poor COVID-19 outcomes. Thus, when indicated, physicians need to discourage patients with NCDs from discontinuing their medications for fear of possible adverse effects on COVID-19 prognosis. |
format | Online Article Text |
id | pubmed-9998941 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99989412023-03-11 Effect of the chronic medication use on outcome measures of hospitalized COVID-19 patients: Evidence from big data Malekpour, Mohammad-Reza Abbasi-Kangevari, Mohsen Shojaee, Ali Saeedi Moghaddam, Sahar Ghamari, Seyyed-Hadi Rashidi, Mohammad-Mahdi Namazi Shabestari, Alireza Effatpanah, Mohammad Nasehi, Mohammadmehdi Rezaei, Mehdi Farzadfar, Farshad Front Public Health Public Health BACKGROUND: Concerns about the role of chronically used medications in the clinical outcomes of the coronavirus disease 2019 (COVID-19) have remarkable potential for the breakdown of non-communicable diseases (NCDs) management by imposing ambivalence toward medication continuation. This study aimed to investigate the association of single or combinations of chronically used medications in NCDs with clinical outcomes of COVID-19. METHODS: This retrospective study was conducted on the intersection of two databases, the Iranian COVID-19 registry and Iran Health Insurance Organization. The primary outcome was death due to COVID-19 hospitalization, and secondary outcomes included length of hospital stay, Intensive Care Unit (ICU) admission, and ventilation therapy. The Anatomical Therapeutic Chemical (ATC) classification system was used for medication grouping. The frequent pattern growth algorithm was utilized to investigate the effect of medication combinations on COVID-19 outcomes. FINDINGS: Aspirin with chronic use in 10.8% of hospitalized COVID-19 patients was the most frequently used medication, followed by Atorvastatin (9.2%) and Losartan (8.0%). Adrenergics in combination with corticosteroids inhalants (ACIs) with an odds ratio (OR) of 0.79 (95% confidence interval: 0.68–0.92) were the most associated medications with less chance of ventilation therapy. Oxicams had the least OR of 0.80 (0.73–0.87) for COVID-19 death, followed by ACIs [0.85 (0.77–0.95)] and Biguanides [0.86 (0.82–0.91)]. CONCLUSION: The chronic use of most frequently used medications for NCDs management was not associated with poor COVID-19 outcomes. Thus, when indicated, physicians need to discourage patients with NCDs from discontinuing their medications for fear of possible adverse effects on COVID-19 prognosis. Frontiers Media S.A. 2023-02-24 /pmc/articles/PMC9998941/ /pubmed/36908454 http://dx.doi.org/10.3389/fpubh.2023.1061307 Text en Copyright © 2023 Malekpour, Abbasi-Kangevari, Shojaee, Saeedi Moghaddam, Ghamari, Rashidi, Namazi Shabestari, Effatpanah, Nasehi, Rezaei and Farzadfar. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Malekpour, Mohammad-Reza Abbasi-Kangevari, Mohsen Shojaee, Ali Saeedi Moghaddam, Sahar Ghamari, Seyyed-Hadi Rashidi, Mohammad-Mahdi Namazi Shabestari, Alireza Effatpanah, Mohammad Nasehi, Mohammadmehdi Rezaei, Mehdi Farzadfar, Farshad Effect of the chronic medication use on outcome measures of hospitalized COVID-19 patients: Evidence from big data |
title | Effect of the chronic medication use on outcome measures of hospitalized COVID-19 patients: Evidence from big data |
title_full | Effect of the chronic medication use on outcome measures of hospitalized COVID-19 patients: Evidence from big data |
title_fullStr | Effect of the chronic medication use on outcome measures of hospitalized COVID-19 patients: Evidence from big data |
title_full_unstemmed | Effect of the chronic medication use on outcome measures of hospitalized COVID-19 patients: Evidence from big data |
title_short | Effect of the chronic medication use on outcome measures of hospitalized COVID-19 patients: Evidence from big data |
title_sort | effect of the chronic medication use on outcome measures of hospitalized covid-19 patients: evidence from big data |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9998941/ https://www.ncbi.nlm.nih.gov/pubmed/36908454 http://dx.doi.org/10.3389/fpubh.2023.1061307 |
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