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Bacterial coinfections with coronavirus disease 2019 (COVID-19)

Published online by Cambridge University Press:  10 November 2021

Glen Huang*
Affiliation:
Division of Infectious Diseases, Department of Medicine, University of California – Los Angeles, Los Angeles, California
Daisuke Furukawa
Affiliation:
Division of Infectious Diseases, Department of Medicine, University of California – Los Angeles, Los Angeles, California
Bryant D. Yang
Affiliation:
Division of Infectious Diseases, Department of Medicine, University of California – Los Angeles, Los Angeles, California
Brian J. Kim
Affiliation:
Department of Pharmacy, Olive View - University of California Los Angeles Medical Center, Sylmar, California
Arthur C. Jeng
Affiliation:
Division of Infectious Diseases, Department of Medicine, University of California – Los Angeles, Los Angeles, California Division of Infectious Diseases, Department of Medicine, Olive View - University of California Los Angeles Medical Center, Sylmar, California
*
Author for correspondence: Glen Huang, DO, 10833 Le Conte Ave, Room 37-121CHS, Los Angeles, CA, 90095. E-mail: [email protected]

Abstract

Background:

The pandemic caused by severe acute respiratory coronavirus virus 2 (SARS-CoV-2) has dramatically increased cheshospitalizations, and it is often difficult to determine whether there is a bacterial or fungal coinfection at time of presentation. In this study, we sought to determine the rates of coinfection and utilization of antibiotics in SARS-CoV-2 disease.

Methods:

Retrospective chart review of patients hospitalized with COVID-19 pneumonia from April 13, 2020, to July 14, 2020.

Results:

In total, 277 patients were hospitalized for COVID-19 pneumonia during this period. Patients that received antibiotics within 48 hours of presentation were more likely to be febrile (59.3% vs 41.2%; P = .01) and to have leukocytosis (23.9% vs 5.9%; P < .01) and were less likely to have a procalcitonin level <0.25 ng/mL (58.8% vs 74.5%; P = .04). In total, 45 patients had positive blood cultures collected during hospitalization, 16 of which were clinically significant. Of the clinically significant blood cultures, 5 were collected <48 hours of admission. Moreover, 18 sputum cultures were clinically significant, 2 of which were collected within 48 hours of admission.

Conclusion:

Bacterial and fungal coinfections in COVID-19 appear to be rare on presentation; thus, this factor may be a good target for enhanced antibiotic stewardship.

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America

Since the start of the pandemic, coronavirus disease 2019 (COVID-19) has infected millions of patients and has caused significant mortality worldwide. 1 Many of these patients present with signs and symptoms that are the same as that of bacterial pneumonia, prompting empiric antibiotic usage. The current Infectious Diseases Society of America/American Thoracic Society guidelines recommend empiric antimicrobial therapy in patients with influenza infection and radiographic evidence of community-acquired pneumonia in both the inpatient and outpatient setting. Reference Clancy and Nguyen2 However, data on the clinical circumstance on antibiotic utilization in COVID-19 remain sparse. A review of the literature found that 5%–27% of COVID-19 cases had an associated secondary infection, Reference Clancy and Nguyen2 and a Virginia study noted a significant increase in ceftriaxone and azithromycin use in the medical intensive care unit (ICU) during the pandemic. Reference Nestler, Godbout and Lee3 In this study, we sought to capture the antibiotic utilization and rate of secondary infection in patients with COVID-19.

Methods

This study was a retrospective chart review of all adult patients with positive nasopharyngeal SARS-CoV-2 polymerase chain reaction (PCR) assay admitted to Olive View–University of California–Los Angeles Medical Center, a hospital funded by Los Angeles County in California. Only patients suspected of having COVID-19 pneumonia as documented in the medical records were included, and asymptomatic patients who were admitted for an unrelated cause who screened positive with the SARS-CoV-2 PCR were excluded. Information regarding patient demographics, clinical findings at presentation and during hospitalization, laboratory results, and microbiology were collected and managed in Microsoft Excel software (Microsoft, Redmond, WA). Comorbidities were defined based on clinical documentation and International Classification of Diseases, Tenth Revision (ICD-10) codes. Laboratory values were recorded as the first values available on presentation. Pneumonia was defined by chart review based on clinical characteristics of patients at presentation. Only commonly pathogenic organisms were considered clinically significant, and organisms that are typically considered as a contaminant or a colonizer (eg, coagulase-negative Staphylococcus on blood culture or Candida spp on respiratory culture) were not considered clinically significant. Pathogenic coagulase-negative Staphylococcus in the blood was defined as patients having received targeted therapy or deemed to be clinically significant based on documentation. These clinical parameters were compared between patients who received empiric antibiotics within 48 hours of admission and those who did not.

Antibiotic utilization was further characterized in detail. Antibiotic delivery was stratified as having started either early (within 48 hours of admission) or late (after 48 hours). The class, specific antibiotics, and days of therapy were abstracted by manual chart review.

Statistical analysis

Categorical variables were analyzed using the χ2 or Fisher exact test. Continuous variables were evaluated using the Student t test or the Mann-Whitney U test where appropriate.

Fig. 1. Frequencies of positive blood cultures (top) and positive sputum cultures (bottom).

Results

Overall, 684 patients with a positive SARS-CoV-2 nasopharyngeal PCR between April 13, 2020, to July 14, 2020, were included. Of these, 277 had been admitted for COVID-19 pneumonia and either died during their hospitalization or were discharged. Also, 51 patients did not receive antibiotics within 48 hours of hospitalization and 226 patients did (Table 1). The overall mean length of stay was 8.5 days (range, 0–75). Individuals who did not receive antibiotics within 48 hours were less likely to be febrile (41.2% vs 59.3%; P = .01) and were less likely to have leukocytosis (5.9% vs 23.9%; P < .01), neutrophilia (9.8% vs 31.4%; P < .01), or lymphopenia (56.9% vs 71.2%; P < .01). They were more likely to have chest radiograph findings that were negative for any acute processes (23.5% vs 8.8%; P < .01). In terms of inflammatory markers, individuals who were not administered antibiotics within 48 hours of hospitalization had lower mean levels of D-dimer (0.73 vs 0.97; P = .04), ferritin (369 vs 801; P < .01), and C-reactive protein (73.3 vs 137.7; P < .01); they were also more likely to have a procalcitonin level <0.25 ng/mL (74.5% vs 58.8%; P = .04). We detected no statistically significant differences in symptoms between the 2 groups. Patients who were not administered antibiotics were less likely to require supplemental oxygen (56.9% vs 88.9%; P < .01) or intubation (0% vs 19.9%; P < .01) during the admission. They also had a lower in-hospital mortality rate (5.9% vs 18.6%; P = .03).

Table 1. Characteristics of Patients With COVID-19

a Continuous variables are expressed as median (interquartile range).

b First value obtained on admission.

In total, 45 (16.2%) patients had positive blood cultures during their hospitalization (Fig. 1). Among these patients, 16 (36.6%) cultures were clinically significant, and 5 were collected <48 hours after admission. The median time to collection of blood culture for gram-negative bacteremia was 9.5 days (range, 0–55), and the median time to collection of blood culture for Candida spp fungemia was 6 days (range, 14–24). For patients with positive sputum cultures (Fig. 1), 18 (56.3%) cultures were clinically significant, of which 2 were collected <48 hours after admission. The median time to collection of positive gram-negative sputum culture was 17 days (range, 1–30).

Of the antibiotics initiated within 48 hours, azithromycin was the most used agent, followed by ceftriaxone. Azithromycin monotherapy was used in 43 patients (19%). Anti-pseudomonal and anti–methicillin-resistant Staphylococcus aureus (MRSA) antibiotics were prescribed in 13.8% and 11.6% of patients who had antibiotics initiated within 48 hours of admission, respectively, with median durations of 2 days and 1 day, respectively. When an antibiotic was initiated after 48 hours, the most commonly used was vancomycin, followed by cefepime, with median durations of 3 and 5.5 days, respectively (Table 2). In total, the median duration of all antibiotics was 5 days (interquartile range [IQR], 5–6).

Table 2. Utilization of Antibiotics Within and After 48 Hours of Hospitalization

a Continuous variables are expressed as median (interquartile range).

b Narrow-spectrum β-lactams defined as a noncarbapenem β-lactam agent that does not cover pseudomonas or MRSA.

c Fluoroquinolones not included in anti-pseudomonal category.

Discussion

The current pandemic is unprecedented, with high mortality. Although prescriber utilization of broad-spectrum antibiotics has been documented in the literature, Reference Beović, Doušak and Ferreira-Coimbra4 the circumstances in which they are used have not been well studied. A published study in Michigan analyzed 1,705 patients with COVID-19 and aimed to describe the number of bacterial coinfections. In that study, 56.6% of patients were prescribed early antibiotic therapy, and only 3.5% of patients had confirmed community-onset bacterial infections. Reference Vaughn, Gandhi and Petty8 Our study showed similar rates of antibiotic use despite low rates of culture confirmed bacterial coinfections. It appears that patients with clinically significant cultures (either sputum or blood) tended to have cultures collected several days into their hospitalization in our study, suggesting nosocomial acquisition.

Previous studies have noted an increase in antibiotic utilization in both “narrow-” and “broad-spectrum” categories Reference Nestler, Godbout and Lee3,Reference Abelenda-Alonso, Padullés and Rombauts7 ; however, these studies do not have patient-level data on the duration and timing with which each antibiotic was prescribed. Not surprisingly, in our study therapeutics targeting community-acquired pathogens (eg, ceftriaxone and azithromycin) were the antibiotics most commonly prescribed within 48 hours of admission. Broad-spectrum agents were still used during this period; however, they were generally de-escalated quickly with a median duration of ˜1 day. At our institution, broad-spectrum agents have prespecified indications. All antibiotic use, however, is reviewed by our antibiotic stewardship team, who then help in the de-escalation of therapy. Our data also suggest that most broad-spectrum antibiotic use occurred later in the hospitalization rather than as empiric therapy on admission.

One explanation of the use of empiric antibiotics in patients is the difficulty in distinguishing between a bacterial process and COVID-19. Recent guidelines have suggested empiric antibiotics for patients with suspected but unconfirmed COVID-19, Reference Metlay and Waterer5 and the World Health Organization has recommended empiric antibiotic therapy for severe COVID-19. 6 Our results indicate that patients were more likely to get antibiotics in the presence of certain clinical parameters such as fevers or leukocytosis; however, these signs are nonspecific and are not specifically characteristic of a bacterial infection.

Our study had several limitations. It was a single-center retrospective study, so our findings may not be generalizable to all hospitals. Not all patients had blood and/or sputum cultures drawn during the hospitalization, making it hard to distinguish the true secondary infection rate. Also, a pneumonia multiplex PCR film array panel was not routinely used for community-acquired pneumonia at our hospital, so we may have underestimated the true incidence of bacterial coinfection. This diagnostic test would have a higher sensitivity in identifying bacteria than routine cultures would. Lastly, rates of antibiotic use may have been overestimated because azithromycin, which was used as a COVID-19–specific therapy early in the pandemic, was included in our analysis as an antibiotic therapy.

Antimicrobial resistance continues to be a global crisis. Reference Aslam, Wang and Arshad9 COVID-19 presenting similarly to a bacterial process has certainly not aided in efforts to curb antibiotic use. In our study, the rate of concurrent bacterial processes in COVID-19, as defined by culture-positivity, was very low but antibiotic use was widespread. The pandemic therefore raises a unique stewardship opportunity, and future studies are needed to better characterize the utility of antibiotics in the management of patients with COVID-19, so that its unnecessary antibiotic use can be minimized.

Acknowledgments

Financial support

No financial support was provided relevant to this article.

Conflicts of interest

All authors report no conflicts of interest relevant to this article.

References

COVID-19 dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU). Johns Hopkins Universty website. https://coronavirus.jhu.edu/map.html. Accessed January 24, 2021.Google Scholar
Clancy, CJ, Nguyen, MH. COVID-19, superinfections and antimicrobial development: What can we expect? Clin Infect Dis 2020. doi: 10.1093/cid/ciaa524.Google ScholarPubMed
Nestler, M, Godbout, E, Lee, K, et al. Impact of COVID-19 on pneumonia-focused antibiotic use at an academic medical center. Infect Control Hosp Epidemiol 2020. doi: 10.1017/ice.2020.362.Google ScholarPubMed
Beović, B, Doušak, M, Ferreira-Coimbra, J, et al. Antibiotic use in patients with COVID-19: a ‘snapshot’ Infectious Diseases International Research Initiative (ID-IRI) survey. J Antimicrob Chemother 2020. doi: 10.1093/jac/dkaa326.CrossRefGoogle ScholarPubMed
Metlay, JP, Waterer, GW. Treatment of community-acquired pneumonia during the coronavirus disease 2019 (COVID-19) pandemic. Ann Intern Med 2020;173:304305.CrossRefGoogle ScholarPubMed
Clinical management of COVID-19. World Health Organization website. https://www.who.int/publications/i/item/clinical-management-of-covid-19. Accessed September 6, 2020.Google Scholar
Abelenda-Alonso, G, Padullés, A, Rombauts, A, et al. Antibiotic prescription during the COVID-19 pandemic: a biphasic pattern. Infect Control Hosp Epidemiol 2020;41:13711372.CrossRefGoogle ScholarPubMed
Vaughn, VM, Gandhi, TN, Petty, LA, et al. Empiric antibiotic therapy and community-onset bacterial co-infection in patients hospitalized with COVID-19: a multi-hospital cohort study. Clin Infect Dis 2021;72:e533e541.CrossRefGoogle ScholarPubMed
Aslam, B, Wang, W, Arshad, MI, et al. Antibiotic resistance: a rundown of a global crisis. Infect Drug Resist 2018;11:16451658.CrossRefGoogle ScholarPubMed
Figure 0

Fig. 1. Frequencies of positive blood cultures (top) and positive sputum cultures (bottom).

Figure 1

Table 1. Characteristics of Patients With COVID-19

Figure 2

Table 2. Utilization of Antibiotics Within and After 48 Hours of Hospitalization