BRIEF RESEARCH COMMUNICATION |
https://doi.org/10.5005/jp-journals-10071-23855 |
Superadded Coinfections and Antibiotic Resistance in the Context of COVID-19: Where do We Stand?
1-3Department of Anaesthesiology, Pain Medicine and Critical Care, All India Institute of Medical Sciences, New Delhi, India
Corresponding Author: Soumya Sarkar, Department of Anaes-thesiology, Pain Medicine and Critical Care, All India Institute of Medical Sciences, New Delhi, India, e-mail: drsoumyasarkar@yahoo.co.in
How to cite this article: Kayarat B, Khanna P, Sarkar S. Superadded Coinfections and Antibiotic Resistance in the Context of COVID-19: Where do We Stand? Indian J Crit Care Med 2021;25(6):699–703.
Source of support: Nil
Conflict of interest: None
ABSTRACT
Purpose of review: Poor outcomes in the current coronavirus disease 2019 (COVID-19) pandemic have been attributed to superadded bacterial coinfections. The World Health Organization has reported overzealous usage of broad-spectrum antibiotics during this current pandemic raising concerns of increasing antimicrobial resistance? Therefore, the knowledge of coinfection and the common pathogens during these challenging times is essential for antibiotic stewardship practices.
Recent findings: The incidence of reported superimposed bacterial and viral coinfections in COVID-19 patients is around 0.04 to 17%. However, more than 70% of patients have received broad-spectrum antibiotics. The presence of a simultaneous coinfection can be suspected in patients with neutrophilic lymphocytosis and elevated procalcitonin in the setting of COVID-19. Multiplex polymerase chain reaction (PCR) panels, with its short turnaround time, aid in the definitive diagnosis of possible coinfection. Acinetobacter baumanii, Mycoplasma pneumonia, influenza virus, Aspergillus, Candida, etc., are commonly implicated pathogens.
Summary: Rapid characterization of coinfection and avoidance of overzealous use of broad-spectrum antibiotics in COVID-19 patients are the key to prevent antibiotic resistance during this pandemic.
Keywords: Antibiotic resistance, Coinfections, COVID-19—coronavirus disease 2019, SARS-CoV-2—severe acute respiratory syndrome coronavirus-2.
INTRODUCTION
Patients with respiratory viral infections are generally predisposed to bacterial coinfections. While a superinfection is attributed to resistant microorganisms or new-onset resistance to the previously used antibiotics, a coinfection is defined as an infection that occurs simultaneously with the initial agent. The difference is chiefly temporal.
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease is a global concern in view of endemicity, mortality, and an unprecedented burden on the current health-care system. SARS-CoV-2 is an enveloped, single-stranded RNA betacoronavirus. The clinical features mimic the previous outbreaks of SARS‐CoV in 2002, and the Middle East respiratory syndrome coronavirus (MERS‐CoV) in 2012.1
The prevalence of bacterial coinfections in the previous influenza epidemics ranges between 20 and 30%.2,3 They usually occurred within the initial 6 days of influenza infection and were leagued with increased morbidity and mortality. The most common organism implicated during the influenza epidemic was Streptococcus pneumonia.4
Coinfections with Chlamydophilia pneumonia and Mycoplasma pneumonia have also been reported during the 2003 SARS-1 epidemic. The incidence of coinfection was 4 to 25%.5 During the MERS-CoV outbreak, the coinfection rates were even lower ranging from 1 to 1.4%. Atypical bacteria like Legionella pneumophilia, C. pneumoniae, and M. pneumoniae had been implicated. However, a study reported that treatment with macrolides did not improve the outcome in MERS-CoV patients with the said bacterial coinfections.6
The majority of the studies in this current pandemic have focused primarily on SARS-CoV-2, while associations with coinfecting organisms have been comparatively overlooked. The extent to which SARS-CoV-2 is complicated by bacterial or fungal infections remains unclear. Envisioning the concerns of increased fatality of bacterial superinfections during previous influenza pandemics, pragmatic use of antibiotics in SARS-CoV-2 infection has been advocated.7,8. However, the incidence of coinfection in the previous coronavirus epidemics was much lower with little implications on mortality. Thus, overzealous use of antibiotics and consequently increasing bacterial resistance have become a serious concern. Therefore, the awareness about the usual organisms causing acute respiratory coinfection in patients already infected with SARS-CoV-2 is important for implementing antibiotic stewardship practices.
PATHOGENESIS
Studies on the influenza epidemic suggest that coinfection predominantly occurred during periods of high viral shedding within the first 6.2 (range, 1.3–11) days of infection.4 The susceptibility of the influenza virus to bacterial coinfections had been attributed to the viral enzyme neuraminidase and a proapoptotic influenza protein, PB-F2.9 As the viral replication accelerates, endothelial barrier disruption occurs leading to impaired alveolar–capillary oxygen transmission. Viral shedding is maximum from 7 days before to 3 days after symptom onset.10
The virus proliferation in the respiratory system affects the mucociliary clearance of bacteria from the lower airway. The deceased epithelial cells uncover the basal cell layer, resulting in bacterial adherence and invasion. The decrease of lymphocytes and host immune function further contribute. There is a delayed release of cytokines and chemokines from the respiratory epithelium, dendritic cells, and macrophages in patients with coronavirus disease 2019 (COVID-19). This hyperactive immune response, called the cytokine storm, is further worsened by coinfections or secondary infections.11
ORGANISMS
Several studies have reported superadded bacterial, fungal, and even viral coinfections in COVID-19 patients (Table 1). A recent systematic review on 3,338 patients with COVID-19 has reported that 14.3% of patients are affected with secondary bacterial infection, and it is more common in critically ill patients. Mycoplasma, Haemophilus influenzae, and Pseudomonas aeruginosa are the most commonly reported organisms.12
| Sl. No. | Author [doi] | Country | Sample size | Coinfection (n,%) | Organisms identified | Diagnostic modality | Outcome | ||
|---|---|---|---|---|---|---|---|---|---|
| 1 | Chen et al. [doi:10.1016/S0140-6736(20)30211-7] | China | 99 | 5 (5.02) | Acinetobacter baumanii Klebsiella pneumoniae |
Aspergillus flavus Candida glabrata Candida albicans |
Respiratory NAAT Bacterial and fungal culture |
Not specified | |
| 2 | Wang et al. [doi:10.1093/cid/ciaa272] | China | 29 | 5 (17) | Acinetobacter baumanii Enterobacter cloaca |
Candida albicans | Sputum culture | Not specified | |
| 3 | Yu et al. [doi:10.1016/S1473-3099(20)30176-6] | China | 7 | 3 (42) | Legionella pneumophilia | Influenza H1N1 |
Sputum culture RT-PCR |
Obstetric patients—No ICU admission | |
| 4 | Chen et al. [doi:10.3760/cma.j.issn.1001-0939.2020.0005] | China | 29 | 1 (3.4) | Organism not reported | Not specified | Patient with bacteremia died | ||
| 5 | Goyal et al. [doi:10.1056/NEJMc2010419] | USA | 393 | 19 (4.8) | Organism not reported | Not specified | Not specified | ||
| 6 | Huang et al.[doi:10.1016/S0140-6736(20)30183-5] | China | 41 | 4 (9.7) | Organism not reported | Not specified | Not specified | ||
| 7 | Zhou et al.[doi:10.1017/ice.2020.156] | China | 191 | 28 (15) | Organism not reported | Not specified | Secondary bacterial infection associated with mortality | ||
| 8 | Zhu et al.[doi:10.1016/j.virusres.2020.198005] | China | 257 | 243 (94.2) | Streptococcus pneumonia Klebsiella pneumoniae Haemophilus influenzae Escherichia coli Staphylococcus aureus Pseudomonas aeruginosa Mycoplasma pneumonia Bordetella pertussis |
HRV Human adenovirus Influenza A&B |
Aspergillus Mucor Candida |
RT-PCR | Coinfection observed in all severe/critical cases in 1–4 days after onset |
| 9 | Kim et al.[doi:10.1001/jama.2020.6266] | USA | 116 | 25 (20) | Rhinovirus Influenza A Metapneumovirus Parainfluenza |
RT-PCR | Not specified | ||
| 10 | Arentz et al.[doi:10.1001/jama.2020.4326] | USA | 21 | 1 (0.04) | Organism not reported | Not specified | Not specified | ||
| 11 | Liu et al. [doi:10.1097/CM9.0000000000000775] | China | 78 | 0 | No organism identified | Respiratory NAAT | Not specified | ||
Another meta-analysis in this regard has found 7% of hospitalized COVID-19 patients had a bacterial coinfection “(95% CI, 3–12%; n = 2183; I2 = 92.2%),” and 3% of them had a viral coinfection “(95% CI, 1–6; n = 1014; I2 = 62.3%).” M. pneumoniae, P. aeruginosa, H. influenzae, and Klebsiella pneumoniae are the commonest bacteria, and respiratory syncytial virus and influenza A are the commonest virus associated with. Fungal coinfection with Candida albicans, Aspergillus fumigatus, and flavus was also reported.13
CLINICAL PRESENTATIONS
The presence of coinfection may lead to confounding and misleading diagnosis. Suspicion, identifying, and distinguishing them from colonization remain a challenge. COVID-19 is usually associated with lymphopenia. On the contrary, lymphocytosis has been reported in cases of coinfection with M. pneumonia.14 A possible bacterial coinfection can be suspected when patients present with neutrophilic lymphocytosis in the setting of COVID-19.
An increased level of procalcitonin has been associated with the severity of SARS-CoV-2 infection. It is identifiable in 2 to 4 hours, tops at 12 to 24 hours, with a half-life of 25 to 30 hours.15 Thus, the elevated procalcitonin level may be beneficial in identifying the presence of a superadded bacterial coinfection, as it is non specific and also raised in patients with end-stage renal disease, cardiogenic shock, and multiorgan failure.16
The computed tomography patterns of pneumonia are generally related to the pathogenesis of infection. In comparison to other viral pneumonia, COVID-19 tends to have a more peripheral distribution, lower lobe predominance, with rounded ground-glass opacities, increased vascular enlargement, and a “reverse halo” sign, central ground-glass opacities with an interrupted peripheral ring of consolidation.17 Bacterial or viral superinfection can complicate these findings. The presence of mediastinal lymphadenopathy, a tree in bud appearance, pleural effusion, cavitation, and pneumothorax should raise concern for probable coinfection.18,19
It is, however, difficult to determine the specific type and the number of coinfecting pathogens based on imaging findings and medical history alone. Therefore, for early and definitive diagnosis of associated coinfection and to detect a broad range of potential pathogens, multiplex polymerase chain reaction (PCR) panels are required. They have a shorter turnaround time of 1 to 2 hours, higher sensitivity for viral pathogens, and help in the detection of a broad panel of a virus, and coinfections.20 The respiratory panel can spot 17 viruses and 3 bacteria simultaneously with an overall sensitivity and specificity of 95 and 99%, respectively. The respiratory tract sample (tracheal aspirate, BAL, or sputum) can be collected as soon as COVID-19 is confirmed or when a coinfection is suspected, and the results will aid in initiating or de-escalating appropriate antibiotic therapy as indicated. Multiplex PCR panels have been used in earlier outbreaks of infective diarrhea and have been effective in detecting coinfections at a lesser time in comparison to conventional diagnostics.21
IMPLICATIONS
The clinical evidence so far shows that the bacterial, viral, or fungal coinfection rate of COVID-19 patients is lower than that of influenza viral infection. However, 70% of patients have received fluoroquinolones, third-generation cephalosporins, and other broad-spectrum antibiotics.22
Antibiotic prescriptions are becoming extensive and excessive during this pandemic, and 90% of patients are being prescribed empirical antibiotics. The World Health Organization has also reported widespread usage of azithromycin in the current scenario despite the absence of any clinical guidelines. Oral doxycycline is also being widely used for its spectrum against M. pneumonia and Staphylococcus aureus.22-24
At present, there is no consensus regarding the use of antibiotics in the background of COVID-19. While in China, broad-spectrum antibiotics covering all possible pathogens have been used in >90% of patients, some countries abutted the use of antibiotics in mild to moderate SARS-CoV-2 patients (Table 2).
| Sl. No. | Recommendation | Diagnosis of coinfection and guidance of antibiotic therapy | Treatment modality | Antimicrobial of choice |
|---|---|---|---|---|
| 1 | Surviving sepsis campaign of critically ill adults [doi:10.1007/s00134-020-06022-5] |
No recommendation | Consider empiric antimicrobials in patients with respiratory failure and mechanically ventilated patients (weak evidence) | No recommendation |
| 2 | NICE, UK [https://www.nice.org.uk/guidance/ng173/ Assessing the ongoing need for antibiotic] |
|
Empirical antibiotics to be started only on clinical suspicion, and within 4 hrs of diagnosis | Symptoms <48 hrs (suspected CAP): Oral: Doxycycline 200 mg on the first day and then 100 mg once a day Intravenous: Co-amoxiclav 1.2 gm three times a day + Clarithromycin 500 mg twice a day Consider Levofloxacin 500 mg once/twice a day in severe pneumonia Symptoms >48 hrs (suspected HAP): Oral: Doxycycline 200 mg on first day and then 100 mg once a day Intravenous: Piperacillin-Tazobactam 4.5 gm three times a day |
| 3 | MoHFW, India [https://www.mohfw.gov.in/pdf/ClinicalManagementProtocolforCOVID19.pdf] | No recommendation | Antibiotics not to be prescribed unless there is a clinical suspicion of bacterial infection | No recommendation |
| 4 | Infectious diseases Society of America [www.idsociety.org/COVID19 guidelines] | No recommendation | No recommendation | No recommendation |
| 5 | Canada [https://www.canada.ca/en/public-health/services/diseases/2019-novel-coronavirus-infection/clinical-management-covid-19.html#8] | No recommendation | Empirical antimicrobials to treat all likely pathogens in patients with sepsis and within 1 hr of diagnosis | No recommendation |
| 6 | Taiwan Clinical Guidance [doi:10.1016/j.jmii.2018.11.004] | No recommendation | Broad-spectrum antibiotics covering all possible pathogens are suggested due to the higher prevalence of coinfections | Mild: amoxicillin, azithromycin, or fluoroquinolones Moderate to severe: empirical antibiotics to treat all possible pathogens |
Antimicrobial resistance requires urgent attention and action. A survey conducted by the Infectious Disease International Research Initiative involving participants from 23 countries also revealed widespread broad-spectrum antibiotic use during this epidemic.25 Interruption of routine health services during the pandemic also has caused interruption to treatment, especially of tuberculosis and HIV, which can further contribute to antimicrobial resistance.26 During the first SARS-CoV outbreak, the incidence of methicillin-resistant S. aureus (MRSA) significantly increased from 3.53% pre-SARS to 25.30% during the SARS outbreak.27
CONCLUSION
The ramification of COVID-19 on antimicrobial resistance remains unclear. In the absence of a definitive therapeutic and preventive modality, we should look ahead and prevent a larger hidden threat from rising upon us. Thus, further studies regarding the rapid characterization of coinfection and avoiding overzealous use of antibiotics in patients with mild to moderate COVID-19 are the need of the hour, keeping in mind the likelihood of secondary bacterial or fungal pneumonia in a patient with worsening respiratory failure or sepsis.
Author’s Individual Contribution
Dr. Bhavana Kayarat contributed to search strategy and draft the manuscript; Dr. Puneet Khanna contributed to conceptualization and editing; and Dr. Soumya Sarkar contributed to study selection, data extraction, draft the manuscript, and editing.
ORCID
Bhavana Kayarat https://orcid.org/0000-0003-0964-2096
Puneet Khanna https://orcid.org/0000-0002-9243-9963
Soumya Sarkar https://orcid.org/0000-0003-0497-9909
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