Temporal relationship between antibiotic use and respiratory virus activities in the Republic of Korea

a time-series analysis

Sukhyun Ryu, Sojung Kim, Bryan I. Kim, Eili Y. Klein, Young Kyung Yoon, Byung-Chul Chun

Research output: Contribution to journalArticle

Abstract

Background: Inappropriate use of antibiotics increases resistance and reduces their effectiveness. Despite evidence-based guidelines, antibiotics are still commonly used to treat infections likely caused by respiratory viruses. In this study, we examined the temporal relationships between antibiotic usage and respiratory infections in the Republic of Korea. Methods: The number of monthly antibiotic prescriptions and the incidence of acute respiratory tract infections between 2010 and 2015 at all primary care clinics were obtained from the Korean Health Insurance Review and Assessment Service. The monthly detection rates of respiratory viruses, including adenovirus, respiratory syncytial virus, influenza virus, human coronavirus, and human rhinovirus, were collected from Korea Centers for Disease Control and Prevention. Cross-correlation analysis was conducted to quantify the temporal relationship between antibiotic use and respiratory virus activities as well as respiratory infections in primary clinics. Results: The monthly use of different classes of antibiotic, including penicillins, other beta-lactam antibacterials, macrolides and quinolones, was significantly correlated with influenza virus activity. These correlations peaked at the 0-month lag with cross-correlation coefficients of 0.45 (p < 0.01), 0.46 (p < 0.01), 0.40 (p < 0.01), and 0.35 (< 0.01), respectively. Furthermore, a significant correlation was found between acute bronchitis and antibiotics, including penicillin (0.73, p < 0.01), macrolides (0.74, p < 0.01), and quinolones (0.45, p < 0.01), at the 0-month lag. Conclusions: Our findings suggest that there is a significant temporal relationship between influenza virus activity and antibiotic use in primary clinics. This relationship indicates that interventions aimed at reducing influenza cases in addition to effort to discourage the prescription of antibiotics by physicians may help to decrease unnecessary antibiotic consumption.

Original languageEnglish
Number of pages1
JournalAntimicrobial resistance and infection control
Volume7
DOIs
Publication statusPublished - 2018 Jan 1

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Republic of Korea
Anti-Bacterial Agents
Viruses
Orthomyxoviridae
Respiratory Tract Infections
Quinolones
Macrolides
Penicillins
Prescriptions
Rhinovirus
Coronavirus
Respiratory Syncytial Viruses
Bronchitis
beta-Lactams
Virus Diseases
Health Insurance
Centers for Disease Control and Prevention (U.S.)
Korea
Respiratory Rate
Microbial Drug Resistance

Keywords

  • Antibiotic use
  • Influenza
  • Korea
  • Respiratory virus
  • Time-series analysis

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health
  • Microbiology (medical)
  • Infectious Diseases
  • Pharmacology (medical)

Cite this

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title = "Temporal relationship between antibiotic use and respiratory virus activities in the Republic of Korea: a time-series analysis",
abstract = "Background: Inappropriate use of antibiotics increases resistance and reduces their effectiveness. Despite evidence-based guidelines, antibiotics are still commonly used to treat infections likely caused by respiratory viruses. In this study, we examined the temporal relationships between antibiotic usage and respiratory infections in the Republic of Korea. Methods: The number of monthly antibiotic prescriptions and the incidence of acute respiratory tract infections between 2010 and 2015 at all primary care clinics were obtained from the Korean Health Insurance Review and Assessment Service. The monthly detection rates of respiratory viruses, including adenovirus, respiratory syncytial virus, influenza virus, human coronavirus, and human rhinovirus, were collected from Korea Centers for Disease Control and Prevention. Cross-correlation analysis was conducted to quantify the temporal relationship between antibiotic use and respiratory virus activities as well as respiratory infections in primary clinics. Results: The monthly use of different classes of antibiotic, including penicillins, other beta-lactam antibacterials, macrolides and quinolones, was significantly correlated with influenza virus activity. These correlations peaked at the 0-month lag with cross-correlation coefficients of 0.45 (p < 0.01), 0.46 (p < 0.01), 0.40 (p < 0.01), and 0.35 (< 0.01), respectively. Furthermore, a significant correlation was found between acute bronchitis and antibiotics, including penicillin (0.73, p < 0.01), macrolides (0.74, p < 0.01), and quinolones (0.45, p < 0.01), at the 0-month lag. Conclusions: Our findings suggest that there is a significant temporal relationship between influenza virus activity and antibiotic use in primary clinics. This relationship indicates that interventions aimed at reducing influenza cases in addition to effort to discourage the prescription of antibiotics by physicians may help to decrease unnecessary antibiotic consumption.",
keywords = "Antibiotic use, Influenza, Korea, Respiratory virus, Time-series analysis",
author = "Sukhyun Ryu and Sojung Kim and Kim, {Bryan I.} and Klein, {Eili Y.} and Yoon, {Young Kyung} and Byung-Chul Chun",
year = "2018",
month = "1",
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T1 - Temporal relationship between antibiotic use and respiratory virus activities in the Republic of Korea

T2 - a time-series analysis

AU - Ryu, Sukhyun

AU - Kim, Sojung

AU - Kim, Bryan I.

AU - Klein, Eili Y.

AU - Yoon, Young Kyung

AU - Chun, Byung-Chul

PY - 2018/1/1

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N2 - Background: Inappropriate use of antibiotics increases resistance and reduces their effectiveness. Despite evidence-based guidelines, antibiotics are still commonly used to treat infections likely caused by respiratory viruses. In this study, we examined the temporal relationships between antibiotic usage and respiratory infections in the Republic of Korea. Methods: The number of monthly antibiotic prescriptions and the incidence of acute respiratory tract infections between 2010 and 2015 at all primary care clinics were obtained from the Korean Health Insurance Review and Assessment Service. The monthly detection rates of respiratory viruses, including adenovirus, respiratory syncytial virus, influenza virus, human coronavirus, and human rhinovirus, were collected from Korea Centers for Disease Control and Prevention. Cross-correlation analysis was conducted to quantify the temporal relationship between antibiotic use and respiratory virus activities as well as respiratory infections in primary clinics. Results: The monthly use of different classes of antibiotic, including penicillins, other beta-lactam antibacterials, macrolides and quinolones, was significantly correlated with influenza virus activity. These correlations peaked at the 0-month lag with cross-correlation coefficients of 0.45 (p < 0.01), 0.46 (p < 0.01), 0.40 (p < 0.01), and 0.35 (< 0.01), respectively. Furthermore, a significant correlation was found between acute bronchitis and antibiotics, including penicillin (0.73, p < 0.01), macrolides (0.74, p < 0.01), and quinolones (0.45, p < 0.01), at the 0-month lag. Conclusions: Our findings suggest that there is a significant temporal relationship between influenza virus activity and antibiotic use in primary clinics. This relationship indicates that interventions aimed at reducing influenza cases in addition to effort to discourage the prescription of antibiotics by physicians may help to decrease unnecessary antibiotic consumption.

AB - Background: Inappropriate use of antibiotics increases resistance and reduces their effectiveness. Despite evidence-based guidelines, antibiotics are still commonly used to treat infections likely caused by respiratory viruses. In this study, we examined the temporal relationships between antibiotic usage and respiratory infections in the Republic of Korea. Methods: The number of monthly antibiotic prescriptions and the incidence of acute respiratory tract infections between 2010 and 2015 at all primary care clinics were obtained from the Korean Health Insurance Review and Assessment Service. The monthly detection rates of respiratory viruses, including adenovirus, respiratory syncytial virus, influenza virus, human coronavirus, and human rhinovirus, were collected from Korea Centers for Disease Control and Prevention. Cross-correlation analysis was conducted to quantify the temporal relationship between antibiotic use and respiratory virus activities as well as respiratory infections in primary clinics. Results: The monthly use of different classes of antibiotic, including penicillins, other beta-lactam antibacterials, macrolides and quinolones, was significantly correlated with influenza virus activity. These correlations peaked at the 0-month lag with cross-correlation coefficients of 0.45 (p < 0.01), 0.46 (p < 0.01), 0.40 (p < 0.01), and 0.35 (< 0.01), respectively. Furthermore, a significant correlation was found between acute bronchitis and antibiotics, including penicillin (0.73, p < 0.01), macrolides (0.74, p < 0.01), and quinolones (0.45, p < 0.01), at the 0-month lag. Conclusions: Our findings suggest that there is a significant temporal relationship between influenza virus activity and antibiotic use in primary clinics. This relationship indicates that interventions aimed at reducing influenza cases in addition to effort to discourage the prescription of antibiotics by physicians may help to decrease unnecessary antibiotic consumption.

KW - Antibiotic use

KW - Influenza

KW - Korea

KW - Respiratory virus

KW - Time-series analysis

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U2 - 10.1186/s13756-018-0347-8

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SN - 2047-2994

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