Skip to main content

Bacterial and fungal growth in sputum cultures from 165 COVID-19 pneumonia patients requiring intubation: evidence for antimicrobial resistance development and analysis of risk factors

Abstract

Background

Coronavirus SARS-CoV-2 causes COVID-19 illness which can progress to severe pneumonia. Empiric antibacterials are often employed though frequency of bacterial coinfection superinfection is debated and concerns raised about selection of bacterial antimicrobial resistance. We evaluated sputum bacterial and fungal growth from 165 intubated COVID-19 pneumonia patients. Objectives were to determine frequency of culture positivity, risk factors for and outcomes of positive cultures, and timing of antimicrobial resistance development.

Methods

Retrospective reviews were conducted of COVID-19 pneumonia patients requiring intubation admitted to a 1058-bed four community hospital system on the east coast United States, March 1 to May 1, 2020. Length of stay (LOS) was expressed as mean (standard deviation); 95% confidence interval (95% CI) was computed for overall mortality rate using the exact binomial method, and overall mortality was compared across each level of a potential risk factor using a Chi-Square Test of Independence. All tests were two-sided, and significance level was set to 0.05.

Results

Average patient age was 68.7 years and LOS 19.9 days. Eighty-three patients (50.3% of total) originated from home, 10 from group homes (6.1% of total), and 72 from nursing facilities (43.6% of total). Mortality was 62.4%, highest for nursing home residents (80.6%). Findings from 253 sputum cultures overall did not suggest acute bacterial or fungal infection in 73 (45%) of 165 individuals sampled within 24 h of intubation. Cultures ≥ 1 week following intubation did grow potential pathogens in 72 (64.9%) of 111 cases with 70.8% consistent with late pneumonia and 29.2% suggesting colonization. Twelve (10.8% of total) of these late post-intubation cultures revealed worsened antimicrobial resistance predominantly in Pseudomonas, Enterobacter, or Staphylococcus aureus.

Conclusions

In severe COVID-19 pneumonia, a radiographic ground glass interstitial pattern and lack of purulent sputum prior to/around the time of intubation correlated with no culture growth or recovery of normal oral flora ± yeast. Discontinuation of empiric antibacterials should be considered in these patients aided by other clinical findings, history of prior antimicrobials, laboratory testing, and overall clinical course. Continuing longterm hospitalisation and antibiotics are associated with sputum cultures reflective of hospital-acquired microbes and increasing antimicrobial resistance.

Trial registration: Not applicable as this was a retrospective chart review study without interventional arm.

Background

Coronavirus SARS-CoV-2 causes COVID-19 disease typically presenting with fever, cough, fatigue and dyspnea [1]. Pulmonary symptoms may follow direct viral invasion and later immune-mediated “cytokine storm” [2, 3]. In severe COVID-19, clinical features often are consistent with sepsis and septic shock [4]. Lung pathology reflects viral injury, bacterial superinfection, or immune-mediated endothelitis and microthrombosis [5, 6]. In the United States, COVID-19 infections and associated hospitalisations, intensive care unit (ICU) utilization, and ventilator usage surged in Spring and Fall 2020. Diagnosis and management of individuals with fever and respiratory disease associated with COVID-19 remain challenging and therapeutic approaches continue to evolve [7, 8].

Respiratory viral infections, especially influenza, are associated with bacterial and fungal superinfection [9,10,11]. This has also been noted in previous coronavirus outbreaks of Severe Acute Respiratory Syndrome (SARS) [12] and Middle Eastern Respiratory Syndrome (MERS) [13]. However, there is relatively little data on prevalence and severity of bacterial and fungal superinfections in COVID-19. Current World Health Organization guidance does not recommend routine antibiotic treatment in COVID-19 though this applies to moderate disease without clinical suspicion of bacterial infection [14]. Severe COVID-19 with pulmonary infiltrates and a septic picture progressing to respiratory failure commonly leads to antimicrobial agents directed at bacterial superinfection [15,16,17,18]. Use of immunosuppressants such as tocilizumab and dexamethasone [19, 20] to combat COVID-19 cytokine storm also contributes to empiric antibacterial and antifungal therapy [21]. This in turn raises concerns about development of antimicrobial resistance (AMR) [22,23,24,25].

Preliminary data suggested bacterial and fungal superinfection may be less common in COVID-19 pneumonia than in influenza [26, 27]. Initial studies were predominantly from China [28] with a need for larger study numbers, greater geographic distribution, and longer follow up of patients suggested [29, 30]. Recently published microbiologic studies come from China [7], Europe [16, 17, 31,32,33] and the Americas [34, 35]; most studies have been retrospective and based on a hospitalized population. However, some present data collected during the early stages of COVID-19 infection and more likely reflect community-acquired infection [18]. Others compile cultures from long duration hospital stays and include nosocomial infections but may not clearly differentiate early versus late infections, define hospital-acquired pneumonia (HAP) versus ventilator-associated pneumonia (VAP), or clearly delineate infection from respiratory tract colonization. Accordingly characterization of positive respiratory cultures by time course and differentiation of infection from colonization was desirable. Optimal pneumonia management in COVID-19 patients would reduce prolonged antibiotic courses, restrain development of multidrug-resistant pathogens, and conserve hospital resources [36, 37].

Methods

Study setting

The Main Line Health System (MLHS) consists of five hospitals just northwest of Philadelphia, Pennsylvania, in the mid-Atlantic United States. The system’s four acute care teaching hospitals total 1058 beds including 138 ICU beds. MLHS hospitals began seeing COVID-19 in early March 2020. MLHS had 801 total COVID-19 discharges by May 1, 2020; individual hospitals saw 121–323 discharges.

Ethical approval and data collection

After Institutional Review Board approval, we compiled a list of patients with positive nasopharyngeal polymerase chain reaction (PCR) assays for SARS-CoV-2 virus who were intubated and admitted to ICU between March 1 and May 1, 2020, inclusive. Cases were reviewed individually online. Analysis used FileMaker(R) database software on secure computers. Of 188 total patients, 23 were excluded due to lack of positive SARS-CoV-2 PCR within study dates (3 patients), no radiographic evidence of pneumonia during admission (3), death within 48 h of admission (13), palliative care chosen on admission (1), and ICU admission due to non-COVID-19-related critical illness (3). Cases meeting study criteria were reviewed from admission until discharge or death; one patient was still hospitalised after 90 days when study follow up ended.

Prior and concurrent medications including antibiotics

Of 165 patients meeting study criteria, 34 (20.6%) had received antibiotics prior to admission. Regimens encountered more than once were azithromycin (10), amoxicillin/clavulanate (3), cephalexin/cefuroxime (3), levofloxacin (3), ceftriaxone (3), and TMP-SMX (2). Admission protocol at the time called for 5 days hydroxychloroquine (HCQ) and azithromycin as potential treatment for COVID-19; almost all patients received HCQ and 78 (47.3%) of patients received azithromycin. Exceptions had allergic or QTc prolongation contraindications to these drugs and azithromycin use decreased substantially by early April 2020 based on lack of demonstrated efficacy.

Following admission, of the 165 patients reviewed, 123 required vasopressors, 54 were given tocilizumab, and 7 received extracorporeal membrane oxygenation (ECMO). Additionally, at intubation 144 (87.3%) were started on empiric antimicrobials directed at potential concurrent bacterial pneumonia; most commonly used were ceftriaxone in 59 (= 41% of regimens), a different 3rd generation cephalosporin in 8 (5.6%), vancomycin + 3rd generation cephalosporin ± metronidazole in 25 (17.4%), vancomycin + piperacillin/tazobactam in 12 (8.3%), piperacillin/tazobactam in 2 (1.4%), and fluoroquinolone in 2 (1.4%).

Definitions and data analysis

Each sputum culture obtained or ordered was evaluated; cultures within 48 h of each other with identical results were considered a single culture. Results were categorized as no sputum obtained, ordered/not done, without growth, contaminated, or based on organism(s) recovered. Clinical significance was defined:

Pneumonia on admission without intubation: radiographic evidence of pneumonia within 72 h of admission but ≥ 4 days prior to intubation.

Pneumonia within 24 h of intubation: radiographic evidence of pneumonia during the 24 h before or after intubation.

Late pneumonia: radiographic evidence of worsening pneumonia occurring more than 7 days since any prior pneumonia diagnosis and treatment.

Colonization: growth of organism(s) other than normal oral flora ± yeast without radiographic evidence of a change in infiltrate appearance; no antibiotic ordered in response.

Antibiotic course: antimicrobial therapy ≥ 5 days directed against documented or suspected respiratory pathogen(s); completed or interrupted by patient death/change to palliative care.

Episodes of pneumonia or colonization had to be separated from other episodes by at least 7 days. Determination of infection versus colonization was based on review of contemporaneous notes of attending infectious diseases consultants, pulmonary critical care specialists, and/or internist/hospitalists; in addition, hospital antibiotic orders helped distinguish diagnoses of infection from colonization, and discharge summaries were used to confirm pneumonia diagnoses. Radiographic evidence of pneumonia were based on a radiologist’s CXR or CT scan official report citing new evidence of pneumonia or changes suggestive of worsening pneumonia.

Development of antimicrobial resistance (AMR): Repetitive sputum isolation during a patient's hospitalisation of the same microorganism which had acquired significantly increased antimicrobial resistance determinates compared with original isolate.

Sputum cultures were judged to be less suggestive of pyogenic bacterial infection if no sputum was obtained, culture was without growth, or only normal oral flora ± yeast was isolated; potential for prior antimicrobial therapy suppressing potential respiratory pathogens was a concern in certain subgroups.

Statistical methods

Length of stay (LOS) is described as mean (standard deviation) and categorical variables are described as frequency or percentage. A 95% confidence interval (95% CI) was computed for overall mortality rate using the exact binomial method, and overall mortality was compared across each level of a potential risk factor using a Chi-Square Test of Independence. All tests were two-sided, and significance level was set to 0.05. Data was analyzed in Stata/MP 15.1 (StataCorp LP., Texas, USA).

Results

Demographics of study population and clinical outcomes

Table 1 shows characteristics and clinical outcomes for 165 patients studied. Overall mortality was 62.4% (95% CI: 54.6, 69.8%). Men constituted 55.8% of patients; mortality was 57.6% for men compared with 68.5% for women (p = 0.152). Mortality increased with increasing age and patients admitted from home had a mortality of 45.8% compared with 70% in those coming from group homes (p = 0.148) and 80.6% from nursing homes (p ≤ 0.001). History of hypertension, obesity (body mass index > 30), smoking-related issues, and diabetes mellitus were common but did not have statistically significant associations with mortality.

Table 1 Demographics and risk factors bearing on outcomes for 165 COVID-19 patients

Sputum culture findings

Results of 253 sputum cultures from 165 individual patients are shown in Fig. 1. Approximately one-third of cultures grew only normal oral flora (n = 83, 32.8%) and an additional group grew only yeast or normal flora plus yeast (n = 33, 13.0%). Three cultures grew Aspergillus species not felt to represent infection upon review of patient records and treatment regimens, while 12 (4.7%) were “without growth”. Influenza A/B and respiratory syncytial virus swabs were done in 21 patients and all were negative. Viral respiratory panels were done in 5 patients with one positive for coronavirus OC43. While not definitive, we posit based on chart review that most of these culture findings were not suggestive of bacterial infection.

Fig. 1
figure 1

Distribution of all 253 sputum culture results from 165 patients with COVID-19 requiring intubation, March 1 to May 1

A single Gram-positive bacterium was recovered from an additional 47 (18.6%) sputum cultures; these were predominantly Staphylococcus aureus, methicillin-susceptible (MSSA) (28, 11.1%) and methicillin-resistant (MRSA) (15, 5.9%). MRSA probes were done in 84 instances; six tests were positive but only three correlated with isolation of MRSA from sputum culture. Growth of a single Gram-negative bacterium constituted 51 cultures (20.2%) with Pseudomonas aeruginosa being most prevalent (n = 25, 9.9%). Cultures growing two or more bacterial species were noted in 23 instances (9.1%), predominantly combinations of Gram-positive and Gram-negative organisms (14 cases) and Gram-negative flora only (8 cases) with one culture having only Gram-positive flora. Staphylococcus aureus and Pseudomonas aeruginosa were the most common bacteria found in mixed cultures.

Significance of sputum culture timing related to pneumonia diagnosis and intubation

In Table 2, sputum results are correlated with timing of cultures relative to hospital admission and intubation and likely clinical significance. Submission of sputum cultures was associated with signs and symptoms of infection, including fever, cough, and leukocytosis, and a radiographic study showing a new infiltrate or worsening of prior findings. Tracheal aspirate cultures were commonly ordered at the time of intubation. Sputum was not obtained due to lack of patient production of sputum or, in a minority of cases, death or change to palliative care prior to obtaining sputum adequate for culture. Overall, there were 114 expectorated sputa, 98 tracheal aspirates, and 110 labelled only as “sputum” (most obtained during periods of intubation, therefore likely tracheal aspirates). Seven bronchial lavage procedures were performed, with cultures yielding two Pseudomonas a., one MSSA, and one yeast. Two transtracheal aspirations were performed and grew MRSA and yeast in one each. Six pleural fluid cultures were performed with one growing Pseudomonas a. matching a sputum isolate.

Table 2 Sputum culture results related to timing of pneumonia diagnosis and intubation

Admission radiographic and culture findings

Thirty-three patients had chest X-rays (CXRs) showing pneumonia upon admission but did not require intubation until four or more days later (range = 4–11 days) (Table 2). The majority were not producing sputum (26 = 78.8%) while 4 (12.1%) sputum cultures yielded normal flora only. One culture grew MRSA, one was ordered but not completed, and one was deemed to be contaminated. Admission CXRs for patients not requiring intubation initially revealed 30 (90.9%) had only interstitial “ground glass” opacities while the remaining 3 (9.1%) included alveolar airspace disease. The MRSA isolate was from a nursing home resident, associated with alveolar airspace disease, and judged clinically relevant and treated. Notably, 18 (54.5%) of these patients received intravenous antibacterials in addition to hydroxychloroquine and/or azithromycin.

Observations at time of intubation

All 165 patients studied were known to be COVID-19 (+) and were in varying degrees of respiratory distress with worsening respiratory failure upon admission. Contemporaneous records note that all had or were evolving severe pneumonia within 24 h of intubation. No sputum was cultured in 25 (15.2%) cases, while there was no growth in 11 (6.7%), normal oral flora only in 62 (37.6%), and yeast ± normal oral flora in 16 (9.7%). Thus 114 (69.1% of study patients) did not have culture data directly supporting a diagnosis of bacterial infection at intubation. However, the remaining 51 (30.9% of study patients) did grow a potential pathogen, primarily bacterial (48 = 94.1% of pathogens) and a few Aspergillus species isolates. (3 = 5.9% of pathogens). Staphylococcus aureus was the most common solitary bacterial isolate upon intubation with methicillin-susceptible strains (17 = 33.3% of pathogens), nearly thrice the number of MRSA isolates (6 = 11.8% of pathogens). Escherichia coli (4 = 7.8%) and Pseudomonas aeruginosa (3 = 5.9%) were the most common of a variety of solitary gram-negative potential pathogens. Polymicrobial growth was seen in 10 cultures (19.6% of those with potential pathogens); MSSA, MRSA, and Pseudomonas aeruginosa were most commonly represented.

Results of cultures from nonrespiratory sites

Numerous blood cultures were obtained throughout the study period; 40 were positive with 16 growing coagulase-negative staphylococcus. Five cultures from one patient grew Pseudomonas a. which was consistent with lung cultures. Two cultures grew Streptococcus mitis in the same patient, one grew Streptococcus pneumoniae, and one grew Candida a.; these were consistent with concurrent sputum culture results. The remaining blood cultures grew an additional Pseudomonas a. (1), E. coli (6), Proteus m. (3), Streptococcus salivarius (2), Bifidobacterium (2), Bacillus sp. (1) without correlation with sputum culture results. Twenty-six urine cultures were obtained within 7 days before or after one of the episodes of potential pneumonia studied. The isolates were E. coli (9), Klebsiella p. (5), Pseudomonas a. (2), Enterococcus faecalis (2), Enterobacter sp. (1), Citrobacter (1), Aerococcus (1), mixed gram-negative bacilli (4), and Candida a. (1). Only one isolate, an E. coli, matched the sputum of the same patient.

Radiologic findings at time of intubation

Review of 2 to 4 CXRs and/or chest CT scans for each patient performed around intubation revealed 35 patients with interstitial or ground glass infiltrates to a much greater degree than alveolar disease and lobar infiltrates; a viral aetiology was generally suspected. Somewhat surprisingly there was little overlap between this group and the 33 patients not requiring intubation until 4 or more days following admission; seven patients were in both groups. Sputum specimens associated with this radiographic pattern yielded 2 MRSA and 1 MSSA (totalling 8.6% of results) versus 22 normal flora or yeast and 10 either without growth or without sufficient sputum for culture. The remaining 130 patients had a predominantly alveolar/lobar imaging pattern. Of these, 48 yielded bacterial isolates (37% of results) including 16 MSSA, 4 MRSA, 4 E. coli, and 3 Pseudomonas a. with the remaining isolates demonstrative of 56 normal flora/yeast, 7 no growth, and 15 no sputum obtained. Lengths of stay and mortality rates were very similar for the two groups despite differences in predominant radiographic pattern.

Late pneumonias after intubation and sputum colonisation

Given extended hospitalisations (mean (SD) LOS of all patients = 19.9 days (14.4), range 2–90 days) and intubation and other invasive procedures, situations suggestive of new infection were not uncommon. Table 2 shows 80 episodes possibly consistent with late pneumonia after intubation; most patients only had one episode, but 7 patients had two, 4 patients had three, and 1 patient had five. In 29 instances (36.3% of those suggestive of late pneumonia), culture results were 4 (5% of total) no sputum obtained or sent, 13 (16.3% of total) normal oral flora only, and 12 (15% of total) yeast ± normal flora. With regard to potential pathogens isolated, the remaining 51 (63.8% of late pneumonias) cultures included 17 (33.3% of positives) with Staphylococcus aureus, now more equally divided between MSSA and MRSA (9 vs. 8). Pseudomonas aeruginosa (n = 14, 27.5% of positives) was the leading solitary gram-negative potential pathogen in late pneumonia.

Cultures judged to have sputum colonizers were found in 31 instances after intubation; these had a similar distribution of normal and potentially pathogenic microbial flora with Pseudomonas species most commonly recovered as shown in Table 2.

Development of antimicrobial resistance (AMR) during hospitalisation

Notably, in 12 patients (11 with late pneumonias and 1 colonization) increasing antimicrobial resistance developed in bacteria during the course of the hospitalisations; see Table 3. Pneumonia organisms which developed AMR most commonly were 7 Pseudomonas aeruginosa with previously susceptible organisms acquiring resistance to many 3rd generation cephalosporins, broad-spectrum beta-lactam/beta-lactamase inhibitors, and sometimes carbapenems. Two Staphylococcus aureus transitioned from MSSA to MRSA. An Enterobacter cloacae developed new resistance to 3rd gen cephalosporin, ticarcillin/clavulanate, and ertapenem and new intermediate susceptibility to piperacillin/tazobactam and meropenem over 17 days after prior courses of carbapenem and an intervening course of piperacillin/tazobactam. An Enterobacter aerogenes developed new resistance to 3rd gen. cephalosporin, ciprofloxacin, and piperacillin/tazobactam over 8 days during courses of piperacillin/tazobactam followed by cefepime. One Klebsiella isolate acquired tetracycline resistance but was judged to be a colonizer. Of the 11 late pneumonia patients, only four (36.4%) had been on antibacterial agents prior to hospital admission but all of the pneumonia patients and the colonization patient in this group had received antibacterials around the time of Intubation. In each case of cultures consistent with late pneumonia, when susceptibility data became available antibiotics were modified to cover the new resistance patterns.

Table 3 Timing of antimicrobial resistance development during hospitalisation

Discussion

We reviewed critically ill COVID-19 inpatients with respiratory failure requiring intubation. Mortality rate was 62.4% (95% CI: 54.6%, 69.8%) reflecting many patients' chronic health problems and advanced age. These outcomes were similar to other reports from the United States [35]. Nursing home residency was associated with the highest mortality; younger patients from group homes also had prolonged hospital stays and significant mortality. In most patients not requiring intubation within three days of admission, lack of sputum production or growth of normal oral flora and variations was associated with a ground glass appearance of CXR infiltrates suggesting viral pneumonia.

Around intubation, a sizeable fraction of cultures (69.1%) were still not strongly supportive of bacterial infection and many of these cultures were from 35 of the 165 patients with radiologic imaging showing predominance of interstitial infiltrates and ground glass opacities over dense lobar airspace disease. However, many cultures around intubation also grew solitary to mixed cultures of potential bacterial respiratory pathogens. Staphylococcus aureus, predominantly MRSA, Pseudomonas aeruginosa, and various enteric Gram-negative bacteria were also recovered, a pattern also seen elsewhere [38]. MRSA recovery was associated with group and nursing home residency and the highest overall mortality rate compared with other sputum isolates. Beyond one week following intubation, both new episodes of suspected pneumonia and instances of colonization had the same spectrum of culture results. However, methicillin-resistance became more common among Staphylococcus aureus and Pseudomonas aeruginosa also was more common which could reflect early treatment with a non-antipseudomonal beta-lactam such as ceftriaxone ± azithromycin as well as the ICU environment. Significantly, 12 cultures (10.8%) out of 111 beyond one week of intubation grew organisms, predominantly Pseudomonas aeruginosa, that had developed increased antimicrobial resistance. Contrary to expectations, most worsening of AMR was in patients from home rather than nursing home residents. This probably reflects the earlier and higher mortality of individuals from nursing homes. These individuals were more likely to grow Staphylococcus aureus and/or Pseudomonas aeruginosa from sputum at the time of intubation but there were relatively few longterm survivors. Development of AMR occurred late (average = 29.5 days, range = 11–58 days) after admission likely explaining the difference of our findings from studies that followed hospitalised patients for much shorter periods of time. Most episodes (54.5–100% depending on type of suspected pneumonia) in our study patients were treated with 5 days or more of broad spectrum antibiotics and even the episodes most consistent with sputum colonization were treated with antibiotics 64.5% of the time contributing to risk of AMR.

Our findings show a higher percentage of patients with bacterial and fungal growth in sputum cultures than some reports [16, 38]. Our patients were sicker than in a study of hospitalised but not intubated patients and there was longer patient follow up [31]. Microorganisms recovered in our study were similar in some regards to published data [31] but with relatively few Streptococcus pneumoniae, Haemophilus, and Moraxella isolates compared with other studies [28, 33, 39]. These common community-acquired pneumonia pathogens could have been suppressed by azithromycin or other antibiotics given prior to or during the hospitalizations studied. Testing was not done for Mycoplasma pneumoniae which was a common superinfecting pathogen in one review [40]. Also, the three Aspergillus isolates did not represent invasive disease which was a concern of several published reviews and reports [40,41,42,43]. We only found one viral co-infection (coronavirus OC43) based on very few tests; some reports have shown very low viral coinfection rates [33] while others have found rates up to 8% [44] in COVID-19. Our study does suggest that following admission and intubation, COVID-19 pneumonia patients have the same predisposition to colonization and infections due to nosocomial pathogens well-known in hospital-acquired and ventilator-associated pneumonias. The literature on bacterial sputum cultures in COVID-19 report high rates and duration of antibiotic use [16, 17, 45,46,47,48]. We observed this as well and demonstrated antimicrobial resistance development in over 10% of bacterial isolates late in patients' hospitalisations; this had been predicted [47] but also has been a topic of considerable debate [49,50,51,52,53,54].

Since completion of our data analysis in August 2020, other ICU COVID-19 studies have been published showing similar microbial flora recovered (e.g., Staphylococcus aureus, Pseudomonas a., Acinetobacter spp., Klebsiella spp.) [55,56,57], late infections after intubation [55], and recovery of multidrug-resistant pathogens [58]. These also extend results to a wider geographic area including South America [56] and the Middle East [59], as well as patient populations such as cancer patients [60] and postmortem studies [57]. An Italian paper showed bronchoalverolar lavage from 24 critically ill COVID-19 patients tended to grow gram-negative bacteria "predisposed to multidrug resistance" while 24 matched non-COVID-19 controls had more commensal flora such as Haemophilus sp. and streptococci [61]. Another reported 7 relatively young COVID-19 ICU patients with few comorbidities except obesity harbored carbapenemase-producing Klebsiella pneumoniae [62]. There was rapid spread of MDR-Escherichia coli in a cluster of 4 COVID-19 patients in Maryland, USA, probably related to facility crowding and overburdened staff [63].

Similar to our findings, some areas have seen low rates of COVID-19-associated fungal infections [64] while multiple fungal types were prevalent in Egypt [59]. Candidiasis in COVID-19 cases has been associated with the ICU setting, central vascular access, and broad spectrum antibiotic use [64]. A German prospective study on invasive pulmonary aspergillosis in critically ill COVID-19 patients suggested a four-fold higher rate (34%) in 32 COVID-19 patients compared with 8% of matched controls [65]. Mucormycosis was a significant fungal infection in Egypt [59] and notably India [66] though more often rhinoorbital or rhinocerebral than pulmonary in the latter.

A review of 49 published references on secondary pulmonary infections complicating COVID-19 pneumonia during 2020 gave an average incidence of 16% for bacterial causes and 6.4% for fungal etiologies though ranges were quite broad [67]. Cases of proven healthcare associated pneumonia may be underdiagnosed as fewer bronchoscopies are performed to avoid risks to staff [68]. It is clear that bacterial and fungal coinfections and superinfections of COVID-19 is an evolving topic. Influenza has been shown to have specific virulence factors that predispose to certain pathogens such as Streptococcus pneumoniae [8] and possibly Aspergillus [69]. In contrast, COVID-19 superinfections may be more related to crowded healthcare settings, immunosuppressive therapies, and invasive procedures [8]. The timing and spectrum of pathogens differs due to many factors. Patient treatment with teichoplanin, which has potent gram-positive activity, increased infections with Pseudomonas and other gram-negative infections relative to staphylococci [70]. Early versus late superinfections differ in character [71] with longer durations of hospital stay and mechanical ventilation increasing infection rates [72, 73]. Also, the types of infections encountered may be changing due to newer approaches to therapy (positioning, corticosteroids, antibiotic selection, antiviral drugs). Rapid testing with a multiplex PCR assay for pathogen/resistance diagnosis can reduce antibiotic use and contain AMR [74] but potentially with increased cost. In resource limited settings, decreased availability of diagnostic tests and access to expensive antimicrobials may make AMR a critical issue [75]. Future prospective trials with more rigorous diagnostic studies and comparing empiric antibacterial and antifungal use with reduced prescribing is indicated [8]. Rigorous antibiotic stewardship approaches to COVID-19 management offer the opportunity to control antimicrobial use and decrease AMR [76, 77].

Strengths of our study include large size and extended follow up. This data from the United States allow further comparison with Asia and Europe. Our health system is not a large tertiary referral center, so our experience may be in line with similar facilities in suburban areas of the US which are becoming pandemic epicenters. Our mix of patients ranging from “healthy” individuals coming from home to older, debilitated individuals residing in nursing facilities may also guide management based on populations served.

Limitations of our study include lack of use of diagnostic tools targeting atypical bacterial infections, e.g. mycoplasma, and the lack of procalcitonin values. Influenza and respiratory syncytial virus studies were done in a minority of patients as infections with these pathogens had waned in our area by the spring. Only some patients received tocilizumab which could influence mortality data. Hydroxychloroquine and azithromycin are no long being given routinely to COVID-19 patients; remdesivir was not available during the study time frame and dexamethasone was not yet considered standard of care.

Conclusions

Based on our findings in severe COVID-19 pneumonia, we recommend: (1) empiric antibacterials should be used sparingly in patients presenting without sputum production and with a radiographic ground glass interstitial pattern suggestive of viral aetiology; (2) consider discontinuation of empiric antibiotics after 48 h in patients without sputum to culture despite adequate access or who have no growth or “normal flora/yeast”; however, this must be balanced against the risk of bacterial pathogen suppression by prior or current antimicrobial regimens and also take into account other clinical findings, results of radiographic studies, and the overall trend in clinical progress; (3) with longer duration of hospitalisation, sputum cultures increasingly reflect hospital-acquired microbial flora so length of stay and “clinical trajectory” are critical in deciding to use antibiotics and selection of agents; (4) culture results, antibiotic use, and clinical outcomes in COVID-19 patients should be reviewed periodically with changes guided by principles of antimicrobial stewardship.

Availability of data and materials

The datasets generated and/or analysed during the current study are not publicly available per the MLHS Institutional Review Board due to the chance they may contain identifiable protected health information but are available from the corresponding author on reasonable request such as for editorial review.

Abbreviations

AMR:

Antimicrobial resistance

CI:

Confidence interval

CXR:

Chest X-Ray

Enteric GNRs:

Enteric gram-negative rod bacteria

ICU:

Intensive care unit

LOS:

Length of stay

MERS:

Middle eastern respiratory syndrome

MLHS:

Main Line Health System

MRSA:

Methicillin-resistant Staphylococcus aureus

MSSA:

Methicillin-susceptible Staphylococcus aureus

PCR:

Polymerase chain reaction

SARS:

Severe acute respiratory syndrome

SD:

Standard deviation

References

  1. Kumar A, Arora A, Sharma P, et al. Clinical Features of COVID-19 and factors associated with severe clinical course: a systematic review and meta-analysis. SSRN [Preprint]. 2020. https://0-doi-org.brum.beds.ac.uk/10.2139/ssrn.3566166.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Chua RL, Lukassen S, Trump S, et al. COVID-19 severity correlates with airway epithelium-immune cell interactions identified by single-cell analysis. Nat Biotechnol. 2020;38(8):970–9. https://0-doi-org.brum.beds.ac.uk/10.1038/s41587-020-0602-4 (Epub 2020 Jun 26 PMID: 32591762).

    Article  CAS  PubMed  Google Scholar 

  3. Hu B, Huang S, Yin L. The cytokine storm and COVID-19. J Med Virol. 2021;93:250–6. https://0-doi-org.brum.beds.ac.uk/10.1002/jmv.26232.

    Article  CAS  PubMed  Google Scholar 

  4. Zhou F, Yu T, Du R, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020;395:1054–62.

    Article  CAS  Google Scholar 

  5. Varga Z, Flammer AJ, Steiger P, et al. Endothelial cell infection and endotheliitis in COVID-19. Lancet. 2020;395:1417–8. https://0-doi-org.brum.beds.ac.uk/10.1016/S0140-6736(20)30937-5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Bradley BT, Maioli H, Johnston R, et al. Histopathology and ultrastructural findings of fatal COVID-19 infections in Washington State: a case series. The Lancet. 2020;396(10247):320. https://0-doi-org.brum.beds.ac.uk/10.1016/S0140-6736(20)31305-2.

    Article  CAS  Google Scholar 

  7. Chen X, Liao B, Cheng L, et al. The microbial coinfection in COVID-19. Appl Microbiol Biotechnol. 2020;104(18):7777–85. https://0-doi-org.brum.beds.ac.uk/10.1007/s00253-020-10814-6.

    Article  CAS  PubMed  Google Scholar 

  8. Rawson TM, Wilson RC, Holmes A. Understanding the role of bacterial and fungal infection in COVID-19. Clin Microbiol Infect. 2021;27(1):9–11. https://0-doi-org.brum.beds.ac.uk/10.1016/j.cmi.2020.09.025.

    Article  CAS  PubMed  Google Scholar 

  9. MacIntyre CR, Chughtai AA, Barnes M, et al. The role of pneumonia and secondary bacterial infection in fatal and serious outcomes of pandemic influenza a(H1N). BMC Infect Dis. 2018;18:637. https://0-doi-org.brum.beds.ac.uk/10.1186/s12879-018-3548-0.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Abelenda-Alonso G, Rombauts A, Gudiol C, et al. Influenza and bacterial coinfection in adults with community-acquired pneumonia admitted to conventional wards: risk factors, clinical features, and outcomes. Open Forum Infect Dis. 2020;7(3):ofaa066. https://0-doi-org.brum.beds.ac.uk/10.1093/ofid/ofaa066.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Waldeck F, Boroli F, Suh N, et al. Influenza-associated aspergillosis in critically-ill patients—a retrospective bicentric cohort study. Eur J Clin Microbiol Infect Dis. 2020;39(10):1915–23. https://doi.org/10.1007/s10096-020-03923-7 (Epub 2020 Jun 3. PMID: 32494955; PMCID: PMC7266735).

    Article  CAS  PubMed  Google Scholar 

  12. Yap FH, Gomersall CD, Fung KS, et al. Increase in methicillin-resistant Staphylococcus aureus acquisition rate and change in pathogen pattern associated with an outbreak of severe acute respiratory syndrome. Clin Infect Dis. 2004;39(4):511–6. https://0-doi-org.brum.beds.ac.uk/10.1086/422641.

    Article  PubMed  Google Scholar 

  13. Memish ZA, Almasri M, Turkestani A, Al-Shangiti AM, Yezli S. Etiology of severe community-acquired pneumonia during the 2013 Hajj-part of the MERS-CoV surveillance program. Int J Infect Dis. 2014;25:186–90. https://0-doi-org.brum.beds.ac.uk/10.1016/j.ijid.2014.06.003.

    Article  PubMed  PubMed Central  Google Scholar 

  14. World Health Organization. COVID-19 Clinical Management. Living Guidance 25 January 2021. Available from: https://www.who/int/iris/handle/10665/338882. Accessed 6 Mar 2021.

  15. Rawson TM, Moore LSP, Zhu N et al. Bacterial and fungal co-infection in individuals with coronavirus: a rapid review to support COVID-19 antimicrobial prescribing [Preprint]. Clin Infect Dis. 2020;530. https://0-doi-org.brum.beds.ac.uk/10.1093/cid/ciaa530.

  16. Karami Z, Knoop BT, Dofferhoff ASM, et al. Few bacterial co-infections but frequent empiric antibiotic use in the early phase of hospitalized patients with COVID-19: results from a multicentre retrospective cohort study in The Netherlands. Infect Dis (Lond). 2021;53(2):102–10. https://0-doi-org.brum.beds.ac.uk/10.1080/23744235.2020.1839672.

    Article  Google Scholar 

  17. Grau S, Echeverria-Esnal D, Gómez-Zorrilla S, et al. Evolution of antimicrobial consumption during the first wave of COVID-19 pandemic. Antibiotics. 2021;10(2):132. https://0-doi-org.brum.beds.ac.uk/10.3390/antibiotics10020132.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Vaughn VM, Gandhi T, Petty LA, et al. Empiric antibacterial therapy and community-onset bacterial co-infection in patients hospitalized with COVID-19: a multi-hospital cohort study. Clin Infect Dis. 2020;72:e533. https://0-doi-org.brum.beds.ac.uk/10.1093/cid/ciaa1239 (published online ahead of print, 2020 Aug 21).

    Article  CAS  PubMed Central  Google Scholar 

  19. Somers EC, Eschenauer GA, Troost JP, et al. Tocilizumab for treatment of mechanically ventilated patients with COVID-19. Clin Infect Dis. 2020;73:e445. https://0-doi-org.brum.beds.ac.uk/10.1093/cid/ciaa954.

    Article  CAS  Google Scholar 

  20. RECOVERY Collaborative Group, Horby P, Lim WS, Emberson JR, et al. Dexamethasone in hospitalized patients with COVID-19. N Engl J Med. 2021;384(8):693–704. https://0-doi-org.brum.beds.ac.uk/10.1056/NEJMoa2021436 (Epub 2020 Jul 17. PMID: 32678530; PMCID: PMC7383595).

    Article  Google Scholar 

  21. Dimmig LM, Wu D, Gold M, et al. IL6 inhibition in critically ill COVID-19 patients is associated with increased secondary infections. medRxiv. 2020. https://0-doi-org.brum.beds.ac.uk/10.1101/2020.05.15.20103531.

    Article  Google Scholar 

  22. Antimicrobial resistance in the age of COVID-19 [Editorial]. Nat Microbiol. 5:779 (2020). https://0-doi-org.brum.beds.ac.uk/10.1038/s41564-020-0739-4.

  23. Getahun H, Smith I, Trivedi K, et al. Tackling antimicrobial resistance in the COVID-19 pandemic. Bull World Health Organ. 2020;98:442-442A.

    Article  Google Scholar 

  24. Rodríguez-Baño J, Rossolini GM, Schultsz C, et al. AMR research in a post-pandemic world: Insights on antimicrobial resistance research in the COVID-19 pandemic. J Global Antimicrob Resist. 2021. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jgar.2021.02.013.

    Article  Google Scholar 

  25. Rossato L, Negrão FJ, Simionatto S. Could the COVID-19 pandemic aggravate antimicrobial resistance? Am J Infect Control. 2020;48:1129–30. https://0-doi-org.brum.beds.ac.uk/10.1016/j.ajic.2020.06.192 (Epub 2020 Jun 27. PMID: 32603851; PMCID: PMC7320258).

    Article  PubMed  PubMed Central  Google Scholar 

  26. Adler H, Ball R, Fisher M, et al. Low rate of bacterial co-infection in patients with COVID-19. The Lancet Microbe. 2020;1:e62.

    Article  CAS  Google Scholar 

  27. Youngs J, Wyncoll D, Hopkins P, et al. Improving antibiotic stewardship in COVID-19: bacterial co-infection is less common than with influenza. J Infect. 2020;81(3):e55–7. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jinf.2020.06.056.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Zhu X, Ge Y, Wu T, et al. Co-infection with respiratory pathogens among COVID-2019 cases. Virus Res. 2020;285:198005. https://0-doi-org.brum.beds.ac.uk/10.1016/j.virusres.2020.198005.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Huttner BD, Catho G, Pano-Pardo JR, et al. COVID-19: don’t neglect antimicrobial stewardship principles! Clin Microbiol Infect. 2020;26:808–10. https://0-doi-org.brum.beds.ac.uk/10.1016/j.cmi.2020.04.024.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Verroken A, Scohy A, Gerard L, et al. Co-infections in COVID-19 critically ill and antibiotic management: a prospective cohort analysis. Crit Care. 2020;24:410. https://0-doi-org.brum.beds.ac.uk/10.1186/s13054-020-03135-7.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Hughes S, Troise O, Donaldson H, et al. Bacterial and fungal coinfection among hospitalised patients with COVID-19: a retrospective cohort study in a UK secondary care setting. Clin Microbiol Infect. 2020;26(10):1395–9. https://0-doi-org.brum.beds.ac.uk/10.1016/j.cmi.2020.06.025 (Epub 2020 Jun 27. PMID: 32603803; PMCID: PMC7320692).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Garcia-Vidal C, Sanjuan G, Moreno-García E, et al. Incidence of co-infections and superinfections in hospitalized patients with COVID-19: a retrospective cohort study. Clin Microbiol Infect. 2021;27(1):83–8. https://0-doi-org.brum.beds.ac.uk/10.1016/j.cmi.2020.07.041 (Epub 2020 Jul 31).

    Article  CAS  PubMed  Google Scholar 

  33. Contou D, Claudinon A, Pajot O, et al. Bacterial and viral co-infections in patients with severe SARS-CoV-2 pneumonia admitted to a French ICU. Ann Intensive Care. 2020;10:119. https://0-doi-org.brum.beds.ac.uk/10.1186/s13613-020-00736-x.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Neto AGM, Lo KB, Wattoo A, et al. Bacterial infections and patterns of antibiotic use in patients with COVID-19. J Med Virol. 2021;93:1489–95. https://0-doi-org.brum.beds.ac.uk/10.1002/jmv.26441.

    Article  CAS  Google Scholar 

  35. Nori P, Cowman K, Chen V, et al. Bacterial and fungal coinfections in COVID-19 patients hospitalized during the New York City pandemic surge. Infect Control Hosp Epidemiol. 2021;42(1):84–8. https://0-doi-org.brum.beds.ac.uk/10.1017/ice.2020.368.

    Article  CAS  PubMed  Google Scholar 

  36. Clancy CJ, Nguyen MH. Coronavirus disease 2019, superinfections, and antimicrobial development: what can we expect? Clin Infect Dis. 2020;71(10):2736–43. https://0-doi-org.brum.beds.ac.uk/10.1093/cid/ciaa524.PMID:32361747;PMCID:PMC7197597.

    Article  CAS  PubMed  Google Scholar 

  37. M. Vaillancourt, Jorth P. The unrecognized threat of secondary bacterial infections with COVID-19. mBio. 2020;11. https://0-doi-org.brum.beds.ac.uk/10.1128/mBio.01806-20.

  38. Dudoignon E, Caméléna F, Deniau B, et al. Bacterial pneumonia in COVID-19 critically ill patients: a case series. Clin Infect Dis. 2021;72(5):905–6. https://0-doi-org.brum.beds.ac.uk/10.1093/cid/ciaa762.

    Article  PubMed  Google Scholar 

  39. Adler H, Ball R, Fisher M, et al. Low rate of bacterial co-infection in patients with COVID-19. Lancet Microbe. 2020;1(2): e62. https://0-doi-org.brum.beds.ac.uk/10.1016/S2666-5247(20)30036-7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Lansbury L, Lim B, Baskaran V, Lim WS. Co-infections in people with COVID-19; a systemic review and meta-analysis. J Infection. 2020;81:266–75. https://0-doi-org.brum.beds.ac.uk/10.1016/j.inf2020.05.046.

    Article  CAS  Google Scholar 

  41. Wu C-P, Adhi F, Highland K. Recognition and management of respiratory coinfection and secondary pneumonia in patients with COVID-19. Cleveland Clin J Med. 2020. https://0-doi-org.brum.beds.ac.uk/10.3949/ccjm87a.ccc015.

    Article  Google Scholar 

  42. Falcone M, Tiseo G, Giordano C, et al. Predictors of hospital-acquired bacterial and fungal superinfections in COVID-19: a prospective observational study. J Antimicrob Chemother. 2021;76(4):1078–84. https://0-doi-org.brum.beds.ac.uk/10.1093/jac/dkaa530.

    Article  CAS  PubMed  Google Scholar 

  43. Borman AM, Palmer MD, Fraser M, et al. COVID-19-associated invasive aspergillosis: data from the UK National Mycology Reference Laboratory. J Clin Microbiol. 2020;59(1):e02136. https://0-doi-org.brum.beds.ac.uk/10.1128/JCM.02136-20.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Kim KW, Deveson IW, Pang CNI, et al. Respiratory viral co-infections among SARS-CoV-2 cases confirmed by virome capture sequencing. Sci Rep. 2021;11:3934. https://0-doi-org.brum.beds.ac.uk/10.1038/s41598-021-83642-x.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Zhou P, Liu Z, Chen Y, et al. Bacterial and fungal infections in COVID-19 patients: a matter of concern [letter to the editor]. Infect Control Hosp Epidemiol. 2020;41:1124. https://0-doi-org.brum.beds.ac.uk/10.1017/ice.2020.156.

    Article  CAS  PubMed  Google Scholar 

  46. Cheng B, Hu J, Zuo X, et al. Predictors of progression from moderate to severe coronavirus disease 2019: a retrospective cohort. Clin Micro Infect. 2020. https://0-doi-org.brum.beds.ac.uk/10.1016/j.cmi.2020.06.033.

    Article  Google Scholar 

  47. Bengoechea JA, Bamford CG. SARS-CoV-2, bacterial co-infections, and AMR: the deadly trio in COVID-19? EMBO Mol Med. 2020;12(7):e12560. https://0-doi-org.brum.beds.ac.uk/10.15252/emmm.202012560 (Epub 2020 Jun 15. PMID: 32453917; PMCID: PMC7283846).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Townsend L, Hughes G, Kerr C, et al. Bacterial pneumonia coinfection and antimicrobial therapy duration in SARS-CoV-2 (COVID-19) infection. JAC-Antimicrob Resist. 2020;2. https://0-doi-org.brum.beds.ac.uk/10.1093/jacamr/dlaa071.

  49. Vaillancourt M, Jorth P. The unrecognized threat of secondary bacterial infections with COVID-19. MBio. 2020;11(4):e01806. https://0-doi-org.brum.beds.ac.uk/10.1128/mBio.01806-20.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Rawson TM, Moore LSP, Castro-Sanchez E, et al. COVID-19 and the potential long-term impact on antimicrobial resistance. J Antimicrob Chemother. 2020;75:1681–4. https://0-doi-org.brum.beds.ac.uk/10.1093/jac/dkaa194.

    Article  CAS  PubMed  Google Scholar 

  51. Clancy CJ, Buehrle DJ, Nguyen MH. PRO: the COVID-19 pandemic will result in increased antimicrobial resistance rates. JAC Antimicrob Resist. 2020. https://0-doi-org.brum.beds.ac.uk/10.1093/jacamr/dlaa049.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Callignon P, Beggs JJ. CON: COVID-19 will not result in increased antimicrobial resistance prevalence. JAC Antimicrob Resist. 2020. https://0-doi-org.brum.beds.ac.uk/10.1093/jacamr/dlaa051.

    Article  Google Scholar 

  53. Mirzaei R, Goodarzi P, Asadi M, et al. Bacterial co-infections with SARS-CoV-2. IUBMB Life. 2020;72:2097–111. https://0-doi-org.brum.beds.ac.uk/10.1002/iub.2356.

    Article  CAS  PubMed  Google Scholar 

  54. Intra J, Sarto C, Beck E, et al. Bacterial and fungal colonization of the respiratory tract in COVID-19 patients should not be neglected. Am J of Infect. 2020;48(9):1130–1. https://0-doi-org.brum.beds.ac.uk/10.1016/j.ajic.2020.06.185.

    Article  Google Scholar 

  55. Pickens CO, Gao CA, Cuttica MJ et al. Bacterial superinfection pneumonia in patients mechanically ventilated for COVID-19 pneumonia. Am J Resp Crit Care Med. https://0-doi-org.brum.beds.ac.uk/10.1164/rccm.202106-1354OC.

  56. Cataño-Correa JC, Cardona-Arias JA, Porras Mancilla JP, et al. Bacterial superinfection in adults with COVID-19 hospitalized in two clinics in Medellín-Colombia, 2020. PLoS ONE. 2021;16(7): e0254671. https://0-doi-org.brum.beds.ac.uk/10.1371/journal.pone.0254671.PMID:34255801;PMCID:PMC8277025.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Clancy CJ, Schwartz IS, Kula B, et al. Bacterial superinfections among persons with coronavirus disease 2019: a comprehensive review of data from postmortem studies. Open Forum Infect Dis. 2021;8(3):065. https://0-doi-org.brum.beds.ac.uk/10.1093/ofid/ofab065 (PMID: 33732753; PMCID: PMC7928570).

    Article  Google Scholar 

  58. Grasselli G, Scaravilli V, Mangioni D, et al. Hospital-acquired infections in critically ill patients with COVID-19. Chest. 2021;160(2):454–65.

    Article  CAS  Google Scholar 

  59. Meawed TE, Ahmed SM, Mowafy SMS, et al. Bacterial and fungal ventilator associated pneumonia in critically ill COVID-19 patients during the second wave. J Infect Public Health. 2021. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jiph.2021.08.003 (Epub ahead of print. PMID: 34420902; PMCID: PMC8349397).

    Article  PubMed  PubMed Central  Google Scholar 

  60. Gudiol C, Durà-Miralles X, Aguilar-Company J, et al. Co-infections and superinfections complicating COVID-19 in cancer patients: a multicentre, international study. J Infect. 2021;83(3):306–13. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jinf.2021.07.014 (Epub ahead of print. PMID: 34302864; PMCID: PMC8295054).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Gaibani P, Viciani E, Bartoletti M, et al. The lower respiratory tract microbiome of critically ill patients with COVID-19. Sci Rep. 2021;11(1):10103. https://0-doi-org.brum.beds.ac.uk/10.1038/s41598-021-89516-6.PMID:33980943;PMCID:PMC8115177.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  62. Montrucchio G, Corcione S, Sales G, et al. Carbapenem-resistant Klebsiella pneumoniae in ICU-admitted COVID-19 patients: Keep an eye on the ball. J Glob Antimicrob Resist. 2020;23:398–400. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jgar.2020.11.004 (Epub 2020 Nov 23. PMID: 33242674; PMCID: PMC7682477).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Patel A, Emerick M, Cabunoc MK, et al. Rapid spread and control of multidrug-resistant gram-negative bacteria in COVID-19 patient care units. Emerg Infect Dis. 2021;27(4):1234–7. https://0-doi-org.brum.beds.ac.uk/10.3201/eid2704.204036 (Epub 2021 Feb 10. PMID: 33565961; PMCID: PMC8007317).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  64. Fekkar A, Lampros A, Mayaux J, et al. Occurrence of invasive pulmonary fungal infections in patients with severe COVID-19 admitted to the ICU. Am J Respir Crit Care Med. 2021;203(3):307–17. https://0-doi-org.brum.beds.ac.uk/10.1164/rccm.202009-3400OC.PMID:33480831;PMCID:PMC7874326.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  65. Lahmer T, Kriescher S, Herner A, et al. Invasive pulmonary aspergillosis in critically ill patients with severe COVID-19 pneumonia: results from the prospective AspCOVID-19 study. PLoS ONE. 2021;16(3): e0238825. https://0-doi-org.brum.beds.ac.uk/10.1371/journal.pone.0238825.PMID:33730058;PMCID:PMC7968651.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  66. Al-Tawfiq JA, Alhumaid S, Alshukairi AN, et al. COVID-19 and mucormycosis superinfection: the perfect storm. Infection. 2021;24:1–21. https://0-doi-org.brum.beds.ac.uk/10.1007/s15010-021-01670-1 (Epub ahead of print. PMID: 34302291; PMCID: PMC8302461).

    Article  CAS  Google Scholar 

  67. Chong WH, Saha BK, Ananthakrishnan R, et al. State-of-the-art review of secondary pulmonary infections in patients with COVID-19 pneumonia. Infection. 2021;49(4):591–605. https://0-doi-org.brum.beds.ac.uk/10.1007/s15010-021-01602-z (Epub 2021 Mar 11. PMID: 33709380; PMCID: PMC7951131).

    Article  CAS  PubMed  Google Scholar 

  68. Wicky PH, Niedermann MS, Timsit JF. Ventilator-associated pneumonia in the era of COVID-19 pandemic: how common and what is the impact? Crit Care. 2021;25(1):153. https://0-doi-org.brum.beds.ac.uk/10.1186/s13054-021-03571-z.PMID:33882991;PMCID:PMC8059113.

    Article  PubMed  PubMed Central  Google Scholar 

  69. Oliva A, Ceccarelli G, Borrazzo C, et al. Comparison of clinical features and outcomes in COVID-19 and influenza pneumonia patients requiring intensive care unit admission. Infection. 2021;26:1–11. https://0-doi-org.brum.beds.ac.uk/10.1007/s15010-021-01624-7 (Epub ahead of print. PMID: 34036458; PMCID: PMC8149291).

    Article  CAS  Google Scholar 

  70. Ceccarelli G, Alessandri F, Oliva A, et al. Superinfections in patients treated with Teicoplanin as anti-SARS-CoV-2 agent. Eur J Clin Invest. 2021;51(1): e13418. https://0-doi-org.brum.beds.ac.uk/10.1111/eci.13418.

    Article  CAS  PubMed  Google Scholar 

  71. Bassetti M, Kollef MH, Timsit JF. Bacterial and fungal superinfections in critically ill patients with COVID-19. Intensive Care Med. 2020;46(11):2071–4. https://0-doi-org.brum.beds.ac.uk/10.1007/s00134-020-06219-8 (Epub 2020 Sep 9. PMID: 32902729; PMCID: PMC7479998).

    Article  CAS  PubMed  Google Scholar 

  72. Musuuza JS, Watson L, Parmasad V, et al. Prevalence and outcomes of co-infection and superinfection with SARS-CoV-2 and other pathogens: a systematic review and meta-analysis. PLoS ONE. 2021;16(5): e0251170. https://0-doi-org.brum.beds.ac.uk/10.1371/journal.pone.0251170.PMID:33956882;PMCID:PMC8101968.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  73. Buehler PK, Zinkernagel AS, Hofmaenner DA, et al. Bacterial pulmonary superinfections are associated with longer duration of ventilation in critically ill COVID-19 patients. Cell Rep Med. 2021;2(4): 100229. https://0-doi-org.brum.beds.ac.uk/10.1016/j.xcrm.2021.100229.

    Article  PubMed  PubMed Central  Google Scholar 

  74. Maataoui N, Chemali L, Patrier J et al. Impact of rapid multiplex PCR on management of antibiotic therapy in COVID-19-positive patients hospitalized in intensive care unit. Eur J Clin Microbiol Infect Dis. 2021:1–8. https://0-doi-org.brum.beds.ac.uk/10.1007/s10096-021-04213-6. (Epub ahead of print. PMID: 33733394; PMCID: PMC7968559)

  75. Lucien MAB, Canarie MF, Kilgore PE, et al. Antibiotics and antimicrobial resistance in the COVID-19 era: perspective from resource-limited settings. Int J Infect Dis. 2021;104:250–4. https://0-doi-org.brum.beds.ac.uk/10.1016/j.ijid.2020.12.087 (Epub 2021 Jan 9. PMID: 33434666; PMCID: PMC7796801).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  76. Para O, Caruso L, Ronchetti M, et al. Superinfection with difficult-to-treat bacteria in COVID-19 patients: a call for compliance with diagnostic and antimicrobial stewardship. Intern Emerg Med. 2021;16(3):789–91. https://0-doi-org.brum.beds.ac.uk/10.1007/s11739-020-02537-3 (Epub 2020 Nov 22. PMID: 33222117; PMCID: PMC7680555).

    Article  PubMed  Google Scholar 

  77. Rawson TM, Ming D, Ahmad R, et al. Antimicrobial use, drug-resistant infections and COVID-19. Nat Rev Microbiol. 2020;18(8):409–10. https://0-doi-org.brum.beds.ac.uk/10.1038/s41579-020-0395-y.PMID:32488173;PMCID:PMC7264971.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

Ms. Buckley has Granted permission to be listed in the acknowledgments.

Funding

This study was a voluntary work on the part of the authors and no funding was involved.

Author information

Authors and Affiliations

Authors

Contributions

All authors participated in the study design, data collection/analysis, and manuscript writing/editing. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Hans H. Liu.

Ethics declarations

Ethics approval and consent to participate

Prior to study initiation, permission for the retrospective review was requested from the Main Line Health System Institutional Review Board; this was granted on May 6, 2020 (MLHS IRB F/N-E20-3943B).

Consent for publication

Not applicable.

Competing interests

HHL is on the speakers' bureau of DaiichiSankyo Co.; DY, LSP, and LK have no conflicting interests to declare.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, H.H., Yaron, D., Piraino, A.S. et al. Bacterial and fungal growth in sputum cultures from 165 COVID-19 pneumonia patients requiring intubation: evidence for antimicrobial resistance development and analysis of risk factors. Ann Clin Microbiol Antimicrob 20, 69 (2021). https://0-doi-org.brum.beds.ac.uk/10.1186/s12941-021-00472-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s12941-021-00472-5

Keywords