Skip to main content

ORIGINAL RESEARCH article

Front. Pharmacol., 21 March 2022
Sec. Pharmacoepidemiology

Consumption Trends of Antibiotics in Brazil During the COVID-19 Pandemic

  • School of Pharmacy, University of Sorocaba, Sorocaba, Brazil

Background: In 2019, a new type of coronavirus emerged and spread to the rest of the world. Numerous drugs were identified as possible treatments. Among the candidates for possible treatment was azithromycin alone or in combination with other drugs. As a result, many clinicians in Brazil have prescribed azithromycin in an attempt to combat or minimize the effects of COVID19.

Aim: This study analyzed the sales data of the main antibiotics prescribed in Brazil to verify the change in consumption trends of these drugs during the COVID-19 pandemic.

Methods: This is an interrupted time series that analyzed antimicrobial sales data between January 2014 and July 2021, publicly accessible information obtained from the Brazilian government’s website. Monthly means of “defined daily doses of DDDs” (DDDs per 1,000 inhabitants per day) of antibiotics were compared by analysis of variance, followed by the Dunnett Multiple Comparisons Test. Monthly trend changes in antibiotic use were verified using Joinpoint regression.

Results: Amoxicillin (31.97%), azithromycin (18.33%), and cefalexin (16.61%) were the most sold antibiotics in Brazil during the evaluation period. Azithromycin consumption rose from 1.40 DDDs in February 2020 to 3.53 DDDs in July 2020. Azithromycin sales showed a significant increase in the pandemic period [Monthly Percent Change (MPC) 5.83%, 95% 1.80; 10.00], whereas there was a fall in amoxicillin sales (MPC −9.00%, 95% CI −14.70; −2.90) and cefalexin [MPC-2.70%, 95% (CI −6.30; −1.10)] in this same period.

Conclusion: The COVID-19 pandemic changed the pattern of antibiotic consumption in Brazil, with a decrease in the use of amoxicillin and cefalexin and an increase in the consumption of azithromycin.

Introduction

In 2019, a new type of coronavirus emerged in China and spread to the rest of the world, causing the World Health Organization to decree that there was a new pandemic in March 2020 (Cucinotta and Vanelli, 2020). The transmission of the new virus occurs through the respiratory route, with symptoms including fever, cough, runny nostrils, and atypical pneumonia; the latter is largely responsible for worsening the clinical condition of affected patients. Changes in taste and smell also completed the clinical condition of most patients affected by the new infection (Group, 2021).

With a mortality rate that ranged from up to 5% at the beginning of the pandemic to approximately 2.2% at the beginning of 2021 (Mallah et al., 2021), health authorities sought and continued seeking alternatives to prevent and combat the new coronavirus. Measures of social distancing, use of masks, closing schools and stores, and using hand sanitizer were the main measures adopted at the beginning of the pandemic, intending to reduce transmission rates, while there was no effective treatment or a vaccine able to reduce transmission and mortality rates among those affected (Morawska and Cao, 2020).

In 2020, with the exponential increase in the number of cases and the number of countries affected and, until that moment, without a vaccine available for everyone that could reduce the effects of the new virus, several treatment proposals were made based on re-purposed drugs that already had their safety established. Numerous drugs were identified as possible treatments, being the reason for many systematic reviews and meta-analyses (Kim et al., 2020; Budhathoki et al., 2021; Diaz-Arocutipa et al., 2021; Kumar et al., 2021).

Amongthe candidates for possible treatment, an association between azithromycin and hydroxychloroquine has been widely propagated and studied in combating new infections (Ghazy et al., 2020; Kim et al., 2020; Prodromos and Rumschlag, 2020; Siemieniuk et al., 2020; Kashour et al., 2021; Million et al., 2021). The anti-inflammatory and immunomodulatory properties of this macrolide directed its use as a possible candidate for the treatment of COVID-19 (Zarogoulidis et al., 2012). Studies, so far, do not show efficacy in the use of azithromycin associated with other drugs, in the treatment of COVID-19 (Cavalcanti et al., 2020; Furtado et al., 2020; Ghazy et al., 2020; Rosenberg et al., 2020; Fiolet et al., 2021)Using antibiotics, in a prophylactic or even therapeutic format, in addition to direct adverse effects, can lead to the emergence of resistant bacterial specimens in the medium and long term, as recently demonstrated (Doan et al., 2020).

The literature is scarce in studies that have analyzed the consumption of the main antibiotics prescribed in Brazil, with emphasis on azithromycin, prescribed throughout the national territory, during the pandemic. This study analyzed the sales data of the main antibiotics prescribed in Brazil to verify the change in consumption trends of these drugs during the COVID-19 pandemic.

Methods

Study Design

An interrupted time series was used to analyze the consumption trends of amoxicillin, azithromycin, and cefalexin antibiotics (outcome of interest) during the COVID-19 pandemic (exposure of interest).

Setting and Study Size

Pharmacies and drugstores in Brazil have been required to register the number of antibiotics sold monthly in the National System of Controlled Products Management (known by the acronym SNGPC) since 2013 (ANVISA and Sanitária, 2011). Monthly sales volume data were collected between January 2014 and July 2021. However, these data only became publicly available in November 2020 (Brazil, 2021). Monthly sales volume data were collected between January 2014 and July 2021.

Data Sources, Measurement, and Variables

Data were collected in.csv format, taken to a data server, and then the following variables were extracted: name of the active ingredient, trade name, and respective presentations, patient’s age, prescriber, and location of sale (city and state).

Based on the number of commercial presentations of each antibiotic sold and the concentration of an active ingredient in each commercial presentation, the number of defined daily doses (DDDs)/1,000 inhabitants/day for each antibiotic was calculated, as recommended by the World Health Organization (WHO, 2021). Consumption was expressed in DDDs/1,000 inhabitants/day.

Statistical Methods

To compare the monthly mean DDDs per 1,000 inhabitants per day of antibiotics, analysis of variance (ANOVA) was used, followed by the Dunnett Multiple Comparisons Test (Graph Pad Instat (Version 3.05). Antibiotic consumption was compared between the studied years.

To assess the changes in monthly trends in the use of the antibiotics studied, we applied the Joinpoint regression, a statistical method used to identify the best-fitting points if there is a statistically significant change in a trend, assessing changes in time series data (Brodeur et al., 2021). The Joinpoint Regression Program was used (Version 4.9.0.0. March 2021; Statistical Research and Applications Branch, National Cancer Institute).

Results

Between January 2014 and July 2021, approximately 800 million packages containing antibiotics were sold in pharmacies and drugstores in Brazil. Amoxicillin, azithromycin, and cefalexin accounted for 67% of the sales (Table 1).

TABLE 1
www.frontiersin.org

TABLE 1. Top selling antibiotics in Brazil between January 2014 and July 2021 and their market share (%).

Antibiotic Consumption Trends Before and During COVID-19

Figure 1 shows the DDD per 1,000 inhabitants per day for the three antibiotics most consumed before and during COVID-19 per month. In March 2020 (before COVID-19 started in Brazil), amoxicillin and azithromycin had annual seasonality, and cefalexin had regular consumption. Between 2014 and 2016, azithromycin was consumed more than amoxicillin. This consumption equaled in 2017–2018, and amoxicillin passed the consumption in 2019, but this scenario was discontinued after COVID-19. Azithromycin consumption increased from 1.40 DDDs in February 2020 to 3.53 in July 2020. Amoxicillin slowed its trend to 0.99 DDDs in April 2020, and cefalexin also reduced its consumption somewhat.

FIGURE 1
www.frontiersin.org

FIGURE 1. Defined Daily Dose per 1,000 inhabitants per day trend of amoxicillin, azithromycin, and cefalexin before and after COVID-19 in Brazil per month (monthly moving average for 5 months).

The trend of antibiotic consumption is also observed when analyzing the data by year (Table 2). Azithromycin showed a downward trend until 2019, and its consumption increased during COVID-19. Amoxicillin was in an upward trend and showed a substantial decline after COVID-19. During the pandemic period, amoxicillin, azithromycin, and cefalexin showed statistically significant differences compared to some previous years, as showed in Table 2 (p < 0.01).

TABLE 2
www.frontiersin.org

TABLE 2. Defined Daily Dose per 1,000 inhabitants per day (Mean), Standard Deviation (SD) and p value of amoxicillin, azithromycin, and cefalexin before and during Pandemic period in Brazil, per year.

The joinpoint analysis available in Table 3; Figure 2 revealed three significant joints for amoxicillin sales (July 2014 October 2019, and May 2020), two for azithromycin sales (February 2020 and January 2021), and three for cefalexin sales (March 2016 October 2019, and May 2020). Amoxicillin sales remained stable through October 2019 but declined significantly after the onset of the pandemic (MPC −9.00, 95% CI [−14.70; −2.90]). The decrease in amoxicillin sales soon after the beginning of the pandemic can be explained by social isolation and the decrease in consultations with doctors’ offices, as some studies have already shown. (King et al., 2021; Ha et al., 2022; Norman et al., 2022). Use of face masks and social distancing also contributed to the decrease in the transmissibility of respiratory diseases and the consequent use of antibiotics.

TABLE 3
www.frontiersin.org

TABLE 3. Joinpoint analysis for amoxicillin, azithromycin, and cefalexin sales in Brazil by month, January 2014 to July 2021.

FIGURE 2
www.frontiersin.org

FIGURE 2. Observed and modeled monthly consumption (DDDs) of the antibiotics studied, with changes in trends (Joinpoint).

Among azithromycin sales, joinpoint analysis also revealed a significant increase in the pandemic period (MPC 5.83, 95% CI 1.80; 10.00), in contrast to the earlier and more recent decline period.

The increase in azithromycin sales found in the present study occurs precisely when the first cases of COVID-19 appear in Brazil and the first treatment proposals involving the antibiotic begin to be published. (Gautret et al., 2020; Gilzad-Kohan and Jamali, 2020; Million et al., 2020; Wu et al., 2020). There was a great demand for Azithromycin in Brazilian pharmacies, with a sustained increase of 5.83% per month, starting in February 2020 and continuing until January 2021. It is very likely that a large part of this demand has occurred by people who would like to have the antibiotic in their homes so that they could use it, if necessary. In February 2021, with the start of vaccination in Brazil and with more clarity about the ineffectiveness of its associated or isolated use (Cavalcanti et al., 2020; Furtado et al., 2020; Ghazy et al., 2020; Rosenberg et al., 2020; Fiolet et al., 2021), sales started to fall by about 8% per month.

Among cefalexin sales, the joinpoint showed a stable trend, except during the pandemic period (MPC −2.70, 95% CI [−6.30; −1.10]).

When considering the patient’s age, azithromycin sales changed significantly over time. Figure 3 shows the azithromycin sales stratified by patient age group. Before the pandemic, prescriptions were aimed at children (0–10 years) and older adults (>40 years). After the pandemic, this trend changed, with more prescriptions for middle-aged adults (31–40 years old) and older adults and fewer prescriptions for children.

FIGURE 3
www.frontiersin.org

FIGURE 3. Distribution in percentages of age groups of azithromycin consumption prescribed, in Brazil, between January 2014 and July 2021.

Discussion

Amoxicillin, azithromycin, and cefalexin were the most commonly used antibiotics in Brazil during the period evaluated. There was an important seasonal variation for both amoxicillin and azithromycin, with an increase in DDD in the colder months of the southern hemisphere (June, July, and August). Both amoxicillin and azithromycin have been widely used for respiratory infections, which occur more frequently in the coldest months of the year (Young et al., 2020). The three most prescribed antibiotics in Brazil (cephalexin, azithromycin and amoxicillin) accounted for 2/3 of all prescriptions since 2014. Azithromycin and amoxicillin used as a first choice for respiratory infections together accounted for half of the antibiotics prescribed in the country (Laopaiboon et al., 2015). For cephalexin, with main indications for pregnant women and/or urinary infections, it represented only 16% of prescriptions.

The results showed an increase in the consumption of azithromycin during the pandemic, with statistically significant decreases in the consumption of amoxicillin and cefalexin during the pandemic. On the one hand, the decrease in the use of amoxicillin and cefalexin can reduce the levels of resistance to pathogens (Bruyndonckx and Coenen, 2021). An increase in azithromycin use will certainly have consequences on the resistance levels of pathogens causing acute respiratory infections (Bergman et al., 2006; Schroeder and Stephens, 2016). The significant increase (5.8% per month) in the consumption of azithromycin, especially at the beginning of the pandemic, showed a rush of the population towards a supposed “treatment.” Without the wide availability of a vaccine, the population sought drugs that could treat their COVID-19 infection, and reduce its intensity or lethality, without scientific proof.

During the pandemic, in Brazil, there was a decrease in prescriptions for amoxicillin and cefalexin. Cephalexin sales data remained stable throughout the pre-pandemic period (2014–2019), with small variations in DDDs (0.43–0.52), however, during the pandemic, sales data showed a significant reduction for about 0.36 DDDs. These decreases are clearly explained by the decrease in bacterial respiratory infections during the pandemic. Other authors found the same phenomenon, attributing the drop in respiratory infections (not COVID-19 infections) during the pandemic to social distancing (for example, schools closing), the use of face masks, decreased visits to doctors’ offices and emergency services, and measures of more restrictive health protocols during the pandemic (Kuitunen et al., 2020a; Kuitunen et al., 2020b; Chiapinotto et al., 2021; Huang, 2021). All these measures contributed to the decrease in the transmissibility of respiratory pathogens, with a consequent decrease in the number of infections and use of these antibiotics. The COVID-19 pandemic, despite all the problems it brought to humanity, also showed that appropriate health behaviors are important tools in combating infections, and consequently, the use of antibiotics and their consequences.

The increase in the overstated consumption of azithromycin has also occurred in other countries that have evaluated its use in the hospital setting (Castro-Lopes and Correia, 2021; Grau et al., 2021; Grau and Hernández, 2021; Sulis et al., 2021), showing similar increases to the present study, with a 2-fold higher consumption of azithromycin in the pandemic period than in previous periods.

Data referring to age group support the hypothesis that the consumption of azithromycin was directly related to the pandemic, as children, being less susceptible to COVID-19 infection (Gallo Marin et al., 2021; O'Driscoll et al., 2021), were those that showed a proportional decrease in consumption when compared to the age groups of adults (20 years or more). The same result was found by (Sulis et al., 2021) which showed that the increase in azithromycin sales in India during the pandemic also did not reach the lowest age groups.

The sudden increase in azithromycin sales to adults in Brazil can be explained by a search for a possible treatment for COVID-19. After the start of vaccination, these sales fall at the same rate as they rose. The consequences of this inappropriate use could impact the increase in resistance indicators of respiratory pathogens, the main target of this antibiotic.

Although Brazil has significantly advanced with the SNGPC system, as of 2013, controlling the sale of antibiotics only with the presentation and retention of the prescription, there is still much to be done in terms of pharmacologically educating antibiotic prescribers to use this class of drugs in a rational way to avoid the precocity of its ineffectiveness.

The measures forcibly adopted by the population (use of masks, social distance, hand sanitizer) also showed us that it is possible to reduce respiratory infections as hygiene measures and not just pharmacological measures. A smaller number of respiratory infections reflect a lower use of antibiotics, which equals the decrease in antimicrobial resistance indices.

Study Limitation/Strength

Our study was able to evaluate about 560 million antibiotics sold in pharmacies throughout Brazil for about 8 years, which guarantees a significant sample of how antibiotics are prescribed in the country and how the pandemic has changed this scenario. Data were collected from all states in the country. It is also important to highlight that, unfortunately, the Brazilian system that provides the data is not able to show the indication of each prescription, that is, which infection is being treated with that antibiotic, which could further deepen the analysis and the trends in the use of antibiotics in the country, ensuring more adequate public policies for the judicious use of antibiotics.

Conclusion

The COVID-19 pandemic changed the pattern of antibiotic consumption in Brazil, with a decrease in the use of amoxicillin and cefalexin and an increase in the consumption of azithromycin. The unnecessary use of azithromycin may result in higher levels of resistance to respiratory pathogens, in addition to a false sense of protection against Covid. Actions worldwide to combat the inappropriate use of antibiotics are increasingly necessary so that the next pandemic is not caused by a multi-resistant bacterium.

Data Availability Statement

Publicly available datasets were analyzed in this study. This data can be found here: https://dados.gov.br/dataset/venda-de-medicamentos-controlados-e-antimicrobianos-medicamentos-industrializados.

Author Contributions

FD, CB, ID, LL, SB-F, and MS contributed to the design and implementation of the research, to the analysis of the results and to the writing of the manuscript.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Anvisa, R. (2011). in Resolução da Diretoria Colegiada n. 20. Editor A. N. D. V. Sanitária (Brazil).

Google Scholar

Bergman, M., Huikko, S., Huovinen, P., Paakkari, P., and Seppälä, H. (2006). Macrolide and Azithromycin Use Are Linked to Increased Macrolide Resistance in Streptococcus Pneumoniae. Antimicrob. Agents Chemother. 50 (11), 3646–3650. doi:10.1128/AAC.00234-06

PubMed Abstract | CrossRef Full Text | Google Scholar

Brazil, SNGPC (2021). BRAZILIAN OPEN DATA PORTAL. [cited 2021 August, 2021]; Available from: https://dados.gov.br/dataset/venda-de-medicamentos-controlados-e-antimicrobianos-medicamentos-industrializados.

Google Scholar

Brodeur, A., Clark, A. E., Fleche, S., and Powdthavee, N. (2021). COVID-19, Lockdowns and Well-Being: Evidence from Google Trends. J. Public Econ. 193, 104346. doi:10.1016/j.jpubeco.2020.104346

CrossRef Full Text | Google Scholar

Bruyndonckx, R., and Coenen, S. (2021). Antibiotic Use and Resistance in Belgium: the Impact of Two Decades of Multi-Faceted Campaigning. Acta Clin. Bleg. 76 (4), 280–288. doi:10.1080/17843286.2020.1721135

CrossRef Full Text | Google Scholar

Budhathoki, P., Shrestha, D. B., Khadka, S., and Rawal, E. (2021). Is Hydroxychloroquine with Azithromycin a Good Combination in COVID-19 Compared to Hydroxychloroquine Alone from Cardiac Perspective? A Systematic Review and Meta-Analysis. J. Nepal Health Res. Counc. 19 (1), 1–9. doi:10.33314/jnhrc.v19i1.3270

CrossRef Full Text | Google Scholar

Castro-Lopes, A., and Correia, S. (2021). Increase of Antimicrobial Consumption in a Tertiary Care Hospital during the First Phase of the COVID-19 Pandemic. Antibiotics (Basel) 10 (7), 778. doi:10.3390/antibiotics10070778

PubMed Abstract | CrossRef Full Text | Google Scholar

Cavalcanti, A. B., Zampieri, F. G., Rosa, R. G., Azevedo, L. C. P., Veiga, V. C., Avezum, A., et al. (2020). Hydroxychloroquine with or without Azithromycin in Mild-To-Moderate Covid-19. N. Engl. J. Med. 383 (21), 2041–2052. doi:10.1056/NEJMoa2019014

PubMed Abstract | CrossRef Full Text | Google Scholar

Chiapinotto, S., Sarria, E. E., Mocelin, H. T., Lima, J. A. B., Mattiello, R., and Fischer, G. B. (2021). Impact of Non-pharmacological Initiatives for COVID-19 on Hospital Admissions Due to Pediatric Acute Respiratory Illnesses. Paediatr. Respir. Rev. 39, 3–8. doi:10.1016/j.prrv.2021.04.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Cucinotta, D., and Vanelli, M. (2020). WHO Declares COVID-19 a Pandemic. Acta Biomed. 91 (1), 157–160. doi:10.23750/abm.v91i1.9397

PubMed Abstract | CrossRef Full Text | Google Scholar

Diaz-Arocutipa, C., Brañez-Condorena, A., and Hernandez, A. V. (2021). QTc Prolongation in COVID-19 Patients Treated with Hydroxychloroquine, Chloroquine, Azithromycin, or Lopinavir/ritonavir: A Systematic Review and Meta-Analysis. Pharmacoepidemiol. Drug Saf. 30 (6), 694–706. doi:10.1002/pds.5234

PubMed Abstract | CrossRef Full Text | Google Scholar

Doan, T., Worden, L., Hinterwirth, A., Arzika, A. M., Maliki, R., Abdou, A., et al. (2020). Macrolide and Nonmacrolide Resistance with Mass Azithromycin Distribution. N. Engl. J. Med. 383 (20), 1941–1950. doi:10.1056/nejmoa2002606

PubMed Abstract | CrossRef Full Text | Google Scholar

Fiolet, T., Guihur, A., Rebeaud, M. E., Mulot, M., Peiffer-Smadja, N., and Mahamat-Saleh, Y. (2021). Effect of Hydroxychloroquine with or without Azithromycin on the Mortality of Coronavirus Disease 2019 (COVID-19) Patients: a Systematic Review and Meta-Analysis. Clin. Microbiol. Infect. 27 (1), 19–27. doi:10.1016/j.cmi.2020.08.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Furtado, R. H. M., Berwanger, O., Fonseca, H. A., Corrêa, T. D., Ferraz, L. R., Lapa, M. G., et al. (2020). Azithromycin in Addition to Standard of Care versus Standard of Care Alone in the Treatment of Patients Admitted to the Hospital with Severe COVID-19 in Brazil (COALITION II): a Randomised Clinical Trial. Lancet 396 (10256), 959–967. doi:10.1016/S0140-6736(20)31862-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Gallo Marin, B., Aghagoli, G., Lavine, K., Yang, L., Siff, E. J., Chiang, S. S., et al. (2021). Predictors of COVID-19 Severity: A Literature Review. Rev. Med. Virol. 31 (1), 1–10. doi:10.1002/rmv.2146

CrossRef Full Text | Google Scholar

Gautret, P., Lagier, J. C., Parola, P., Hoang, V. T., Meddeb, L., Sevestre, J., et al. (2020). Clinical and Microbiological Effect of a Combination of Hydroxychloroquine and Azithromycin in 80 COVID-19 Patients with at Least a Six-Day Follow up: A Pilot Observational Study. Trav. Med Infect Dis 34, 101663. doi:10.1016/j.tmaid.2020.101663

CrossRef Full Text | Google Scholar

Ghazy, R. M., Almaghraby, A., Shaaban, R., Kamal, A., Beshir, H., Moursi, A., et al. (2020). A Systematic Review and Meta-Analysis on Chloroquine and Hydroxychloroquine as Monotherapy or Combined with Azithromycin in COVID-19 Treatment. Sci. Rep. 10 (1), 22139. doi:10.1038/s41598-020-77748-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Gilzad-Kohan, H., and Jamali, F. (2020). Anti-Inflammatory Properties of Drugs Used to Control COVID-19 and Their Effects on the Renin-Angiotensin System and Angiotensin-Converting Enzyme-2. J. Pharm. Pharm. Sci. 23, 259–277. doi:10.18433/jpps31346

PubMed Abstract | CrossRef Full Text | Google Scholar

Grau, S., Echeverria-Esnal, D., Gómez-Zorrilla, S., Navarrete-Rouco, M. E., Masclans, J. R., Espona, M., et al. (2021). Evolution of Antimicrobial Consumption during the First Wave of COVID-19 Pandemic. Antibiotics (Basel) 10 (2), 132. doi:10.3390/antibiotics10020132

PubMed Abstract | CrossRef Full Text | Google Scholar

Grau, S., and Hernández, S. (2021). Antimicrobial Consumption Among 66 Acute Care Hospitals in Catalonia: Impact of the COVID-19 Pandemic. Antibiotics (Basel) 10 (8), 943. doi:10.3390/antibiotics10080943

PubMed Abstract | CrossRef Full Text | Google Scholar

Group, I. C. C. (2021). COVID-19 Symptoms at Hospital Admission Vary with Age and Sex: Results from the ISARIC Prospective Multinational Observational Study. Infection 49 (5), 889–905. doi:10.1007/s15010-021-01599-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Ha, D., Oh, M., Son, C., Kang, J. G., Hwang, H., Moon, S. B., et al. (2022). Sustained Reduction in Urgent Care Antibiotic Prescribing during the Coronavirus Disease 2019 Pandemic: An Academic Medical Center's Experience. Open Forum Infect. Dis. 9 (2), ofab662. doi:10.1093/ofid/ofab662

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, C. (2021). Pediatric Non-COVID-19 Community-Acquired Pneumonia in COVID-19 Pandemic. Int. J. Gen. Med. 14, 7165–7171. doi:10.2147/IJGM.S333751

CrossRef Full Text | Google Scholar

Kashour, Z., Riaz, M., Garbati, M. A., AlDosary, O., Tlayjeh, H., Gerberi, D., et al. (2021). Efficacy of Chloroquine or Hydroxychloroquine in COVID-19 Patients: a Systematic Review and Meta-Analysis. Plos Med. 76 (1), 30–42. doi:10.1093/jac/dkaa403

CrossRef Full Text | Google Scholar

Kim, M. S., An, M. H., Kim, W. J., and Hwang, T. H. (2020). Comparative Efficacy and Safety of Pharmacological Interventions for the Treatment of COVID-19: A Systematic Review and Network Meta-Analysis. Plos Med. 17 (12), e1003501. doi:10.1371/journal.pmed.1003501

PubMed Abstract | CrossRef Full Text | Google Scholar

King, L. M., Lovegrove, M. C., Shehab, N., Tsay, S., Budnitz, D. S., Geller, A. I., et al. (2021). Trends in US Outpatient Antibiotic Prescriptions during the Coronavirus Disease 2019 Pandemic. Clin. Infect. Dis. 73 (3), e652–e660. doi:10.1093/cid/ciaa1896

PubMed Abstract | CrossRef Full Text | Google Scholar

Kuitunen, I., Artama, M., Mäkelä, L., Backman, K., Heiskanen-Kosma, T., and Renko, M. (2020). Effect of Social Distancing Due to the COVID-19 Pandemic on the Incidence of Viral Respiratory Tract Infections in Children in Finland during Early 2020. Pediatr. Infect. Dis. J. 39 (12), e423–e427. doi:10.1097/INF.0000000000002845

PubMed Abstract | CrossRef Full Text | Google Scholar

Kuitunen, I., Ponkilainen, V. T., Launonen, A. P., Reito, A., Hevonkorpi, T. P., Paloneva, J., et al. (2020). The Effect of National Lockdown Due to COVID-19 on Emergency Department Visits. Scand. J. Trauma Resusc Emerg. Med. 28 (1), 114. doi:10.1186/s13049-020-00810-0

CrossRef Full Text | Google Scholar

Kumar, J., Jain, S., Meena, J., and Yadav, A. (2021). Efficacy and Safety of Hydroxychloroquine/chloroquine against SARS-CoV-2 Infection: A Systematic Review and Meta-Analysis. J. Infect. Chemother. 27 (6), 882–889. doi:10.1016/j.jiac.2021.02.021

CrossRef Full Text | Google Scholar

Laopaiboon, M., Panpanich, R., and Swa Mya, K. (2015). Azithromycin for Acute Lower Respiratory Tract Infections. Cochrane Database Syst. Rev. 2015 (3), Cd001954. doi:10.1002/14651858.CD001954.pub4

PubMed Abstract | CrossRef Full Text | Google Scholar

Mallah, S. I., Ghorab, O. K., Al-Salmi, S., Abdellatif, O. S., Tharmaratnam, T., Iskandar, M. A., et al. (2021). COVID-19: Breaking Down a Global Health Crisis. Ann. Clin. Microbiol. Antimicrob. 20 (1), 35. doi:10.1186/s12941-021-00438-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Million, M., Lagier, J. C., Gautret, P., Colson, P., Fournier, P. E., Amrane, S., et al. (2020). Early Treatment of COVID-19 Patients with Hydroxychloroquine and Azithromycin: A Retrospective Analysis of 1061 Cases in Marseille, France. Trav. Med Infect Dis 35, 101738. doi:10.1016/j.tmaid.2020.101738

PubMed Abstract | CrossRef Full Text | Google Scholar

Million, M., Roussel, Y., Gautret, P., and Raoult, D. (2021). Effect of Hydroxychloroquine and Azithromycin on SARS-CoV-2 Clearance in COVID-19 Patients, a Meta-Analysis. Int. J. Antimicrob. Agents 57 (1), 106240. doi:10.1016/j.ijantimicag.2020.106240

CrossRef Full Text | Google Scholar

Morawska, L., and Cao, J. (2020). Airborne Transmission of SARS-CoV-2: The World Should Face the Reality. Environ. Int. 139, 105730. doi:10.1016/j.envint.2020.105730

PubMed Abstract | CrossRef Full Text | Google Scholar

Norman, C., Svensson, M., Schmidt, I., Bergfeldt, V. S., Obeid, R., Ternhag, A., et al. (2022). Reduced Dispensing of Prescribed Antibiotics during the Covid-19 Pandemic Has Not Increased Severe Complications from Common Infections. BMC Public Health 22 (1), 252. doi:10.1186/s12889-022-12692-1

PubMed Abstract | CrossRef Full Text | Google Scholar

O'Driscoll, M., Santos, G. R. D., Wang, L., and Cummings, D. A. T. (2021). Age-specific Mortality and Immunity Patterns of SARS-CoV-2. Nat. Res. 590 (7844), 1140–1145. doi:10.1038/s41586-020-2918-0

CrossRef Full Text | Google Scholar

Prodromos, C., and Rumschlag, T. (2020). Hydroxychloroquine Is Effective, and Consistently So when provided Early, for COVID-19: a Systematic Review. New Microbes New Infect. 38, 100776. doi:10.1016/j.nmni.2020.100776

PubMed Abstract | CrossRef Full Text | Google Scholar

Rosenberg, E. S., Dufort, E. M., Udo, T., Wilberschied, L. A., Kumar, J., Tesoriero, J., et al. (2020). Association of Treatment with Hydroxychloroquine or Azithromycin with In-Hospital Mortality in Patients with COVID-19 in New York State. Jama 323 (24), 2493–2502. doi:10.1001/jama.2020.8630

PubMed Abstract | CrossRef Full Text | Google Scholar

Schroeder, M. R., and Stephens, D. S. (2016). Macrolide Resistance in Streptococcus Pneumoniae. Front Cel Infect Microbiol 6, 98. doi:10.3389/fcimb.2016.00098

PubMed Abstract | CrossRef Full Text | Google Scholar

Siemieniuk, R. A., Bartoszko, J. J., Ge, L., Zeraatkar, D., Izcovich, A., Kum, E., et al. (2020). Drug Treatments for Covid-19: Living Systematic Review and Network Meta-Analysis. Bmj 370, m2980. doi:10.1136/bmj.m2980

PubMed Abstract | CrossRef Full Text | Google Scholar

Sulis, G., Batomen, B., Kotwani, A., Pai, M., and Gandra, S. (2021). Sales of Antibiotics and Hydroxychloroquine in India during the COVID-19 Epidemic: An Interrupted Time Series Analysis. Plos Med. 18 (7), e1003682. doi:10.1371/journal.pmed.1003682

PubMed Abstract | CrossRef Full Text | Google Scholar

Who, (2021). WHO Collaborating Centre for Drug Statistics Methodology. Available from: https://www.whocc.no/atc_ddd_index/.

Google Scholar

Wu, R., Wang, L., Kuo, H. D., Shannar, A., Peter, R., Chou, P. J., et al. (2020). An Update on Current Therapeutic Drugs Treating COVID-19. Curr. Pharmacol. Rep. 6 (3), 1–15. doi:10.1007/s40495-020-00216-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Young, E. H., Panchal, R. M., Yap, A. G., and Reveles, K. R. (2020). National Trends in Oral Antibiotic Prescribing in United States Physician Offices from 2009 to 2016. Pharmacotherapy 40 (10), 1012–1021. doi:10.1002/phar.2456

PubMed Abstract | CrossRef Full Text | Google Scholar

Zarogoulidis, P., Papanas, N., Kioumis, I., Chatzaki, E., Maltezos, E., and Zarogoulidis, K. (2012). Macrolides: from In Vitro Anti-inflammatory and Immunomodulatory Properties to Clinical Practice in Respiratory Diseases. Eur. J. Clin. Pharmacol. 68 (5), 479–503. doi:10.1007/s00228-011-1161-x

CrossRef Full Text | Google Scholar

Keywords: Azithromycin, COVID-19, Pharmacoepidemiolgy, Antimicrobial resistance (AMR), Hydroxychloroquine (HCQ)

Citation: Del Fiol FdS, Bergamaschi CdC, De Andrade IP, Lopes LC, Silva MT and Barberato-Filho S (2022) Consumption Trends of Antibiotics in Brazil During the COVID-19 Pandemic. Front. Pharmacol. 13:844818. doi: 10.3389/fphar.2022.844818

Received: 28 December 2021; Accepted: 03 March 2022;
Published: 21 March 2022.

Edited by:

Jeff Guo, University of Cincinnati, United States

Reviewed by:

Marwan Alrasheed, University of Cincinnati, United States
Emily E. Ricotta, National Institute of Allergy and Infectious Diseases (NIH), United States

Copyright © 2022 Del Fiol, Bergamaschi, De Andrade, Lopes, Silva and Barberato-Filho. 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.

*Correspondence: Fernando de Sá Del Fiol, fernando.fiol@prof.uniso.br

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.