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1781. Antibiotic Prescription Trends of Patients with COVID-19: Analysis of National Health Insurance Data in Republic of Korea

BACKGROUND: Although COVID-19 is a viral infection, it is known that antibiotics are often prescribed due to concerns about combined bacterial infection. Therefore, we aimed to analyze how many patients with COVID-19 received the antibiotic prescription as well as what kinds of factors contributed t...

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Autores principales: Choi, Yunsang, Kang, Minsun, Shin, Dong Hoon, Jung, Jongtak, Choi, Seong Jin, Kim, Nak-Hyun, Moon, Song Mi, Song, Kyoung-Ho, Kim, Eu Suk, Jung, Jaehun, Kim, Hong Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9752915/
http://dx.doi.org/10.1093/ofid/ofac492.1411
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author Choi, Yunsang
Kang, Minsun
Shin, Dong Hoon
Jung, Jongtak
Choi, Seong Jin
Kim, Nak-Hyun
Moon, Song Mi
Song, Kyoung-Ho
Kim, Eu Suk
Jung, Jaehun
Kim, Hong Bin
author_facet Choi, Yunsang
Kang, Minsun
Shin, Dong Hoon
Jung, Jongtak
Choi, Seong Jin
Kim, Nak-Hyun
Moon, Song Mi
Song, Kyoung-Ho
Kim, Eu Suk
Jung, Jaehun
Kim, Hong Bin
author_sort Choi, Yunsang
collection PubMed
description BACKGROUND: Although COVID-19 is a viral infection, it is known that antibiotics are often prescribed due to concerns about combined bacterial infection. Therefore, we aimed to analyze how many patients with COVID-19 received the antibiotic prescription as well as what kinds of factors contributed to it using the National Health Insurance database. METHODS: We retrospectively reviewed claims data for adults 19 years of age and older hospitalized for COVID-19 from December 1, 2019 to December 31, 2020. According to severity classification of the National Institutes of Health guidelines, we calculated not only the proportion of patients receiving antibiotics but also days of treatment per 1000 patient days. In addition, we investigated the factors contributing to antibiotic use by linear regression analysis. RESULTS: Of the 55,228 patients, 47% were male, 55% were older than 50 years of age, and most patients (89%) had no underlying diseases. The majority (84%, 46,576) were classified as having mild to moderate illness, with 11% (6,168) and 5% (2,484) having severe and critical, respectively. Antibiotics were prescribed in a total of 27% (15,081). While 74% of patients with severe illness and 88% of those with critical illness received antibiotic treatment, even 18% of mild to moderate cases were prescribed antibiotics. Fluoroquinolones were the most commonly prescribed antibiotics (8,348), followed by third generation cephalosporins (5,729) and beta-lactam/beta-lactamase inhibitors (3,822) as shown in Figure 1. Older age, severity of disease and underlying medical conditions contributed to overall prescription rates as well as days of antibiotic use significantly (Table 1). [Figure: see text] [Figure: see text] CONCLUSION: Although most of COVID-19 patients had mild to moderate illness, more than a quarter were prescribed antibiotics. Judicious use of broad-spectrum antibiotics is necessary for COVID-19 patients, considering the severity of disease and the risk of bacterial co-infection. DISCLOSURES: All Authors: No reported disclosures.
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spelling pubmed-97529152022-12-16 1781. Antibiotic Prescription Trends of Patients with COVID-19: Analysis of National Health Insurance Data in Republic of Korea Choi, Yunsang Kang, Minsun Shin, Dong Hoon Jung, Jongtak Choi, Seong Jin Kim, Nak-Hyun Moon, Song Mi Song, Kyoung-Ho Kim, Eu Suk Jung, Jaehun Kim, Hong Bin Open Forum Infect Dis Abstracts BACKGROUND: Although COVID-19 is a viral infection, it is known that antibiotics are often prescribed due to concerns about combined bacterial infection. Therefore, we aimed to analyze how many patients with COVID-19 received the antibiotic prescription as well as what kinds of factors contributed to it using the National Health Insurance database. METHODS: We retrospectively reviewed claims data for adults 19 years of age and older hospitalized for COVID-19 from December 1, 2019 to December 31, 2020. According to severity classification of the National Institutes of Health guidelines, we calculated not only the proportion of patients receiving antibiotics but also days of treatment per 1000 patient days. In addition, we investigated the factors contributing to antibiotic use by linear regression analysis. RESULTS: Of the 55,228 patients, 47% were male, 55% were older than 50 years of age, and most patients (89%) had no underlying diseases. The majority (84%, 46,576) were classified as having mild to moderate illness, with 11% (6,168) and 5% (2,484) having severe and critical, respectively. Antibiotics were prescribed in a total of 27% (15,081). While 74% of patients with severe illness and 88% of those with critical illness received antibiotic treatment, even 18% of mild to moderate cases were prescribed antibiotics. Fluoroquinolones were the most commonly prescribed antibiotics (8,348), followed by third generation cephalosporins (5,729) and beta-lactam/beta-lactamase inhibitors (3,822) as shown in Figure 1. Older age, severity of disease and underlying medical conditions contributed to overall prescription rates as well as days of antibiotic use significantly (Table 1). [Figure: see text] [Figure: see text] CONCLUSION: Although most of COVID-19 patients had mild to moderate illness, more than a quarter were prescribed antibiotics. Judicious use of broad-spectrum antibiotics is necessary for COVID-19 patients, considering the severity of disease and the risk of bacterial co-infection. DISCLOSURES: All Authors: No reported disclosures. Oxford University Press 2022-12-15 /pmc/articles/PMC9752915/ http://dx.doi.org/10.1093/ofid/ofac492.1411 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Choi, Yunsang
Kang, Minsun
Shin, Dong Hoon
Jung, Jongtak
Choi, Seong Jin
Kim, Nak-Hyun
Moon, Song Mi
Song, Kyoung-Ho
Kim, Eu Suk
Jung, Jaehun
Kim, Hong Bin
1781. Antibiotic Prescription Trends of Patients with COVID-19: Analysis of National Health Insurance Data in Republic of Korea
title 1781. Antibiotic Prescription Trends of Patients with COVID-19: Analysis of National Health Insurance Data in Republic of Korea
title_full 1781. Antibiotic Prescription Trends of Patients with COVID-19: Analysis of National Health Insurance Data in Republic of Korea
title_fullStr 1781. Antibiotic Prescription Trends of Patients with COVID-19: Analysis of National Health Insurance Data in Republic of Korea
title_full_unstemmed 1781. Antibiotic Prescription Trends of Patients with COVID-19: Analysis of National Health Insurance Data in Republic of Korea
title_short 1781. Antibiotic Prescription Trends of Patients with COVID-19: Analysis of National Health Insurance Data in Republic of Korea
title_sort 1781. antibiotic prescription trends of patients with covid-19: analysis of national health insurance data in republic of korea
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9752915/
http://dx.doi.org/10.1093/ofid/ofac492.1411
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