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. 2021 Jun 17;49(10):1256–1261. doi: 10.1016/j.ajic.2021.06.005

Risk factors for isolation of multi-drug resistant organisms in coronavirus disease 2019 pneumonia: A multicenter study

Hyo-Ju Son a,b,1, Tark Kim c,1, Eunjung Lee a, Se Yoon Park a, Shinae Yu d, Hyo-Lim Hong e, Min-Chul Kim f, Sun In Hong g, Seongman Bae h, Min Jae Kim h, Sung-Han Kim h, Ji Hyun Yun i, Kyeong Min Jo j, Yu-Mi Lee k, Seungjae Lee a, Jung Wan Park d, Min Hyok Jeon d, Tae Hyong Kim a, Eun Ju Choo c,
PMCID: PMC8251653  PMID: 34146624

Abstract

Objectives

Superimposed multi-drug resistant organisms (MDROs) co-infection can be associated with worse outcomes in patients with severe coronavirus disease 2019 (COVID-19), even if these patients were managed with strict airborne and contact precautions. Identifying risk factors for isolation of MDROs is critical to COVID-19 treatment.

Methods

All eligible adult patients with confirmed COVID-19 pneumonia from 10 hospitals in the Republic of Korea between February 2020 and May 2020 were retrospectively enrolled. Using this cohort, epidemiology and risk factors for isolation of MDROs were evaluated.

Results

Of 152 patients, 47 with microbial culture results were included. Twenty isolates of MDROs from 13 (28%) patients were cultured. Stenotrophomonas maltophilia (5 isolates) was the most common MDRO, followed by methicillin-resistant staphylococcus aureus (4 isolates). MDROs were mostly isolated from sputum samples (80%, 16/20). The median time from hospitalization to MDRO isolation was 28 days (interquartile range, 18-38 days). In-hospital mortality was higher in patients with MDRO isolation (62% vs 15%; P = .001). Use of systemic corticosteroids after diagnosis of COVID-19 (adjusted odds ratio [aOR]: 15.07; 95% confidence interval [CI]: 2.34-97.01; P = .004) and long-term care facility (LTCF) stay before diagnosis of COVID-19 (aOR: 6.09; 95% CI: 1.02-36.49; P = .048) were associated with MDRO isolation.

Conclusions

MDROs were isolated from 28% of COVID-19 pneumonia patients with culture data and 8.6% of the entire cohort. Previous LTCF stay and adjunctive corticosteroid use were risk factors for the isolation of MDROs. Strict infection prevention strategies may be needed in these COVID-19 patients with risk factors.

Keywords: COVID-19, SARS-CoV-2, Antimicrobial resistance, Long-term care facility, Corticosteroids

Introduction

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the cause of coronavirus disease 2019 (COVID-19), first appeared in China at the end of 2019. It is constantly spreading over the world.1 Clinical presentation of COVID-19 ranges from asymptomatic to severe cases requiring mechanical ventilation.2 The fatality rate of COVID-19 is approximately 1.4%.3 Remdesivir and dexamethasone might be helpful for certain patients. However, because drugs with proven therapeutic effects are limited, supportive treatment and prevention of secondary infections are important as well

It is well-known that respiratory viral diseases will make patients vulnerable to bacterial infections. Bacterial infections of S. aureus and S. pneumonia following influenza infection have been reported.4 There is also a concern of superimposed bacterial infection after SARS-CoV-2 infection. Patients with severe COVID-19 are often indistinguishable from bacterial co-infection based on signs, symptoms, physical findings, and radiographic findings.5 Bacterial co-infections occur more often in patients requiring intensive care unit and mechanical ventilation with increased disease severity.5, 6, 7, 8, 9, 10 They are known to be associated with worse outcomes of patients with COVID-19 pneumonia.11 Understanding the epidemiology and risk factors of MDROs in COVID-19 patients is very important for establishing strategies to treat COVID-19 and prevent infection by MDROs. Although, several studies reported MDRO isolation and antimicrobial stewardship challenges in patients in COVID-19,12, 13, 14 only few studies have dealt with risk factors of MDRO isolation in patients with COVID-19.15 Therefore, the aim of this study was to evaluate incidences of and risk factors for isolation of MDROs in COVID-19 patients.

Materials and methods

Patients and study design

All eligible adult patients with confirmed COVID-19 pneumonia at 10 hospitals in the Republic of Korea between February 2020 and May 2020 were retrospectively evaluated. COVID-19 was diagnosed by real-time reverse transcriptase polymerase chain reaction (RT-PCR) for SARS-CoV-2 using a PowerChekTM 2019-nCoV Real-time PCR Kit (Kogenebiotech, Seoul, Korea) and an Allplex 2019-nCoV Assay (Seegene, Seoul, Korea) to determine virus using envelope (E) gene and RNA-dependent RNA polymerase (RdRp) gene as two genetic markers. Patients were excluded if cultures for bacteria and fungi were not done (Fig 1 ). Cases were defined as patients with culture-confirmed MDRO and controls were defined as patients who underwent culture tests, but with negative results or isolated non-MDRO. Data about age, gender, underlying diseases, history of medical institution visit, antibiotics use, isolation of MDROs before admission due to SARS-COV2 infection, types of rooms during hospitalization after admission due to SARS-CoV2 infection, intensive care unit stay, use of systemic corticosteroids, antibacterial agents, and in-hospital mortality were collected. Risk factors for isolation of MDROs were then evaluated. COVID-19 pneumonia was defined when patients with COVID-19 had radiologically relevant findings of SARS-CoV2 infection on chest radiograph or computed tomography.16

Fig. 1.

Fig 1

Study flowchart.

Definition of MDRO and microbiological methods

MDROs were defined as seven antibiotic-resistant organisms, including methicillin-resistant Staphylococcus aureus (MRSA), vancomycin-resistant enterococci (VRE), extended-spectrum beta-lactamase (ESBL) producing enterobacteriaceae, carbapenem-resistant enterobacteriaceae (CRE), carbapenem-resistant Acinetobacter baumannii (CRAB), carbapenem-resistant Pseudomonas aeruginosa (CRPA), and Stenotrophomonas maltophilia. 17 Microbiological test was performed at the judgment of the attending clinician. Microorganism identification was performed using standard methods at each hospital in which quality control of microbiological tests had passed the evaluation of accredited institutions. Susceptibility testing was done using microdilution method and results were interpreted according to the National Committee for Clinical Laboratory Standards guidelines.18

Statistical analysis

Categorical variables were compared using χ2 test or Fisher's exact test as appropriate. Continuous variables were compared using Student's t-test or Mann-Whitney U-test as appropriate. All tests of significance were two-tailed and P values < .05 were considered statistically significant. A univariate analysis was performed using a logistic regression to determine independent risk factors associated with isolation of MDROs. Subsequently, multiple logistic regression analysis was performed for variables with a P value < .1 in the univariate analysis based on the backward stepwise selection method. Two variables, the use of urinary tract catheter and the use of antibacterial agent after diagnosis of COVID-19, were excluded from the logistic regression analysis as their occurrence was 100%. Results are reported as odds ratio (OR) with 95% confidence interval (CI). All statistical analyses were performed with SPSS for Windows, version 26 (SPSS Inc., Chicago, IL, USA).

Ethical approval

This study was approved by the Institutional Review Board (IRB) of Soonchunhyang University Seoul Hospital (IRB No. 2020-06-012). Informed consent was waived by the IRB because no intervention was involved and no patient-identifying information was included.

Results

Patient characteristics

A total of 152 patients with COVID-19 pneumonia were identified during the study period. Patients without a culture study (n = 105) were excluded. Clinical characteristics of the entire cohort including patients without a culture study is described in Supplementary Table 1. A total of 47 patients with microbial culture data according to the doctor's judgement were included in the final analysis (Fig 1). Clinical characteristics of enrolled patients with COVID-19 pneumonia are described in Table 1 . The median age of these patients was 68 years (interquartile range [IQR]: 62-77 years). Of these patients, 26 (55%) were males. Diabetes mellitus (23%, 11/47) was the most common underlying disease, followed by neurologic disease (19%, 9/47) and chronic lung disease (17%, 8/47). Twelve (26%) patients stayed in LTCF within 90 days before admission due to COVID-19. A total of 34 (72%) patients stayed in negative pressured single room after admission due to COVID-19. Two (4%) patients developed bacteremia and two (4%) developed candidemia and all these patients were included in MDRO group. Twenty-two (47%) patients received antibacterial agents and 36 (77%) received systemic corticosteroids. In-hospital mortality was 28% (13/47).

Table 1.

Clinical characteristics of patients with coronavirus disease 2019 pneumonia

Characteristic of patients MDRO (n=13) Control (n =34) Total (n = 47) P value
Age (IQR) 73 (65-77) 64 (50-76) 68 (62-77) .18
Male gender 8 (62) 18 (53) 26 (55) .60
Underlying disease/condition
 Diabetes 5 (39) 6 (18) 11 (23) .13
 Neurologic disease 3 (23) 6 (18) 9 (19) .69
 Chronic lung disease 3 (23) 5 (15) 8 (17) .67
 Chronic kidney disease 2 (15) 4 (12) 6 (13) .99
 Cardiovascular disease 3 (23) 3 (9) 6 (13) .33
 Chronic liver disease 2 (15) 0 (0) 2 (4) .07
 Malignancy 2 (15) 1 (3) 3 (6) .18
 Corticosteroid use 0 (0) 1 (3) 1 (2) .99
 Human immunodeficiency virus infection 0 (0) 1 (3) 1 (2) .99
Before admission due to SARS-CoV2 infection
 Medical institution visit within 90 d
  None (community acquired) 2 (15) 9 (27) 11 (23) .70
  LTCF 6 (46) 6 (17) 12 (26) .045
  Hospital 4 (31) 16 (47) 20 (43) .35
  Outpatient clinic visit 4 (33) 19 (56) 23 (50) .31
  Hemodialysis clinic 1 (8) 0 (0) 1 (2) .26
 Antibiotic use within 90 d 2/6 (33) 1/18 (6) 3/24 (13) .14
 MDRO isolation within 180 d 1/3 (33) 0/14 (0) 1/17 (6) .18
After admission due to SARS-CoV2 infection
 Types of rooms during hospitalization
  General single room 1 (8) 0 (0) 1 (2) .28
  Negative pressured single room 6 (46) 28 (82) 34 (72) .01
  Negative pressured shared room 6 (46) 6 (18) 12 (26) .045
 Have been out of the hospital room for CT scan 6 (46) 14 (41) 20 (43) .76
 Intensive care unit 10 (77) 16 (47) 26 (55) .10
 Quick SOFA score ≥ 2 points 3 (23) 4 (12) 7 (15) .38
 Medical devices
  Urinary tract catheter 13 (100) 16 (47) 29 (62) .001
  Central venous catheter 11 (85) 12 (35) 23 (49) .003
  Mechanical ventilation 9 (69) 9 (27) 18 (38) .02
 Bacteremia 2 (14) 0 (0) 2 (4) .08
 Candidemia 2 (14) 0 (0) 2 (4) .08
 Use of systemic corticosteroids 11 (85) 11 (32) 22 (47) .002
 Use of antibacterial agent 13 (100) 23 (68) 36 (77) .02
 In hospital mortality 8 (62) 5 (15) 13 (28) .001

NOTE. Data are presented as number of patients (with the corresponding percentage shown in parentheses) unless otherwise specified.

CT, computed tomography; IQR, interquartile range; LTCF, long-term care facility; MDRO, multi-drug resistant organism; SOFA; sequential organ failure assessment

Description of patients with isolation of multi-drug resistant microorganisms

MDROs were detected from 28% (13/47) among patients with culture data and 8.6% (13/152) of the entire cohort. A total of 20 isolates of MDROs were cultured from 13 patients. The median time from COVID-19 diagnosis to MDRO isolation was 28 days (IQR: 18-38 days) (Table 2 , Fig 2 ). Characteristics of these 13 patients with MDRO isolation are summarized in Table 2. Eleven (85%) patients had visited or stayed at any type of healthcare facilities within 90 days before hospitalization. All patients with isolation of MDROs received antibacterial agents and 85% (11/13) used systemic corticosteroids. The number of identified MDRO was as follows: five Stenotrophomonas maltophilia, 4 MRSA, 3CRAB, 3 CRPA, 2 ESBL enterobacteriaceae, 2 VRE, and one CRE. Most bacteria were isolated from sputum (16 isolates). Two MDRO isolates were identified from blood and urine, respectively. In-hospital mortality of patients with MDRO isolation was 62% (8/13).

Table 2.

Description of patients whose clinical specimens had multi-drug resistant microorganism

Patient number Age/gender Setting Previous colonization Types of specimen Microorganism Days from diagnosis to pathogen isolation In hospital mortality
Patient 1 73/F Outpatient No Sputum CRE (E. coli) 18 Died
clinic visit Urine C. glabrata 39
Patient 2 72/F Community Unknown Sputum CRAB 7 Alive
Sputum ESBL K. pneumoniae 22
Urine CRPA 49
Patient 3 75/M Hospital Unknown Sputum CRAB 30 Died
Patient 4 92/M LTCF Unknown Sputum CRAB 12 Died
Blood VRE 43
Sputum MRSA 43
Patient 5 65/M Dialysis clinic Unknown Blood VRE 19 Alive
Sputum MRSA 25
Sputum C. albicans 19
Patient 6 75/F LTCF No Sputum S. maltophilia 0 Died
Patient 7 83/F Hospital Unknown Sputum MRSA 38 Died
Patient 8 64/M Community Unknown Blood C. parapsilosis 38 Died
Sputum S. maltophilia 45
Patient 9 58/M LTCF Unknown Sputum S. maltophilia 56 Alive
Sputum CRPA 80
Patient 10 65/F Hospital ESBL E. coli Urine ESBL E. coli 19 Alive
Patient 11 77/M Hospital Unknown Blood C. albicans 44 Died
Sputum MRSA 28
Sputum S. maltophilia 55
Patient 12 71/M LTCF Unknown Sputum S. maltophilia 46 Died
Patient 13 81/M Hospital Unknown Sputum CRPA 53 Alive
Stool C. difficile 24

CRAB, carbapenem-resistant Acinetobacter baumannii; CRE, carbapenem-resistant enterobactericeae; CRPA, carbapenem-resistant Pseudomonas aeruginosa; ESBL, extended-spectrum beta-lactamase; LTCF, long-term care facility;

MRSA, methicillin-resistant Staphylococcus aureus; VRE, vancomycin-resistant enterococci.

Fig. 2.

Fig 2

Timelines of 13 patients with coronavirus disease 2019 and isolation of multi-drug resistant microorganism.

The median time from COVID-19 diagnosis to MDRO isolation was 28 days (IQR: 18-38 days) (red dash line). All patients except patients 10 and 13 received adjunctive corticosteroid. Patient 6 received only 2 days of corticosteroid because she died two days after admission. All patients with MDRO isolation received antibiotics during hospitalization before MDRO isolation.

Candida was isolated from four patients with MDRO and polymicrobial non-MDRO was isolated from one patient. A total of 6 patients with monomicrobial non-MDRO isolates, 3 had non-MDRO isolation from sputum, 2 had non-MDRO isolation from urine, and 1 had non-MDRO isolation from sputum and urine. Types of non-MDRO were as follows: two candida species, 1 klebsiella pneumonia, 1 Escherichia coli, 1 Enterococcus faecalis, 1 Rahnella aquatilis, and 1 nontuberculous mycobacteria. The median time from COVID-19 diagnosis to non-MDRO isolation was 17 days (IQR: 6-34 days). In-hospital mortality in the non-MDRO group 33% (2/6) (Supplementary Table 2).

Risk factors for isolation of multi-drug resistant organisms

Significant variables in univariate analysis were LTCF admission before diagnosis of COVID-19 (OR: 4.00, 95% CI: 0.98 - 16.26, P = .05), single room stay after diagnosis of COVID-19 (OR: 0.25, 95% CI: 0.06 -1.02, P = .05), having central venous catheter (OR: 10.08, 95% CI: 1.91 - 53.18, P = .01), mechanical ventilation (OR: 6.25, 95% CI: 1.54 - 25.42, P = .01), and use of systemic corticosteroids after diagnosis of COVID-19 (OR: 11.50, 95% CI: 2.17 - 61.04, P = .004). All significant variables in univariate analysis and age were included in the multivariate analysis. Multivariate analysis indicated that the use of systemic corticosteroids after COVID-19 diagnosis (aOR: 15.07, 95% CI: 2.34-97.01, P = .004) and LTCF stay before diagnosis of COVID-19 (aOR: 6.09, 95% CI: 1.02-36.49, P = 0.048) were independent risk factors for MDRO isolation (Table 3 ). Risk factors for MDRO isolation from the entire cohort including patients without culture data were also evaluated. Not only LTCF stay and receipt of corticosteroids but also mechanical ventilation revealed to be a risk factor of MDRO isolation (Supplementary Table 3).

Table 3.

Risk factors for multi-drug resistant organism isolation in patients with coronavirus disease 2019 pneumonia

Risk factor Univariate analysis
Multivariate analysis
OR (95% CI) P value Adjusted OR (95% CI) P value
Age 1.05 (0.99 - 1.11) .10
LTCF stay before diagnosis of COVID-19 4.00 (0.98 - 16.26) .05 6.09 (1.02 - 36.49) .048
Single room stay after diagnosis of COVID-19 vs. shared room 0.25 (0.06 - 1.02) .05
Central venous catheter 10.08 (1.91 - 53.18) .01
Mechanical ventilation 6.25 (1.54 - 25.42) .01
Use of systemic corticosteroids 11.50 (2.17 - 61.04) .004 15.07 (2.34 - 97.01) .004

NOTE. The model fitted data well in terms of discrimination (C-statistic = 0.83) and calibration (Hosmer-Lemeshow goodness of fit statistic = 2.18, P = .34).

CI, confidence interval; LTCF, long-term care facility; OR, odds ratio.

Discussion

The COVID-19 pandemic has highlighted the need for monitoring the use of excess antibiotics and multi-drug resistance.19 Knowing the epidemiology and risk factors of MDROs in COVID-19 patients can help establishing strategies to treat COVID-19 and preventing infection by MDROs. In this multi-centered retrospective study, MDROs were isolated from 13 (28%) of 47 patients. All patients with MDRO isolation received previous antibacterial agents. Risk factors of MDRO isolation in patients with COVID-19 pneumonia were the use of corticosteroids after hospitalization due to COVID-19 and LTCF stay before diagnosis of COVID-19.

Antimicrobial resistance in bacterial pathogens has become one of the most important threats to public health around the world. The Republic of Korea is also experiencing challenges with antimicrobial resistance. The recent nationwide surveillance system report by the Korea Centers for Disease Control and Prevention stated that MRSA is common (66% of S. aureus), and among tested Acinetobacter baumannii and Pseudomonas aeruginosa isolates collected from 16 general hospitals, 85% and 35% were imipenem-resistant.20 , 21 In response to the COVID-19 pandemic, healthcare systems have rapidly adapted infection control policies to hinder the spread of COVID-19. However, the pandemic has also mitigated measures to prevent the spread of MDROs, such as screening, surveillance and antimicrobial stewardship.12 A number of MDRO outbreaks and infections are now linked to breakdowns in infection prevention practices due to strains imposed by the pandemic.22 , 23 Maintaining and monitoring a robust infection prevention practices is very important because the spread of MDRO might pose a long-term serious threat to public health.

Interestingly, despite application of enhanced standard precautions (hand hygiene policy and respiratory hygiene), the use of personal protective equipment, and appropriate environmental disinfection procedures, MDROs were still isolated from 13 (28%) patients of 47 patients who had culture test. Elderly patients with comorbidities requiring prolonged hospitalization with mechanical ventilation might have promoted the transmission of MDROs.24 However, endogenous factors might also be important. The source of organism might be microbiota of the respiratory tract or intestine carried by patients themselves before they developed COVID-19, especially for those with previous hospitalization and those who were receiving broad-spectrum antibiotics. Indeed, most of patients with isolation of MDRO in our study had history of visiting or staying at any type of healthcare facilities.

In our study, more MDRO tended to be isolated from patients who stayed at the LTCF before COVID-19 diagnosis. Clusters of COVID-19 in LTCF have been widely reported.25 , 26 Patients in LTCF are usually the elderly who have many underlying diseases.26 They are also at higher risk of antibiotic resistance and more likely to have MDRO colonizations.27 With this background, the possibility of getting MDRO secondary infection rapidly increases when a patient in LTCF gets COVID-19. Therefore, close monitoring of secondary MDRO infections is required for COVID-19 outbreak in LTCF.

SARS-CoV-2 can cause immune dysregulation due to increased production and circulation of cytokines, leading to hyper-inflammation and defects of lymphoid function.28 , 29 Dexamethasone, a corticosteroid, is strongly recommended as it has been shown to improve survival outcomes for inpatients who require oxygen supplementation.30 , 31 However, the use of corticosteroids for treating COVID-19 might have unintended consequences. The use of corticosteroids is known to be associated with secondary bacterial infection, invasive pulmonary aspergillosis, osteonecrosis of femoral head, and delayed viral clearance in other viral infections. High-dose corticosteroids potentially delayed viral shedding of patients with COVID-19.32 Our finding that steroid use may promote MDRO infection has great implications. Even during therapeutic use of corticosteroids, it is necessary for clinicians to proceed with caution and steroids should only be given for the shortest recommended duration.

Previous studies have found that fewer than 10% of patients with COVID-19 experience co-infections and over 70% receive antibiotics.7 , 11 , 19 , 33, 34, 35 In the present study, the rate of antibiotic use was 113/152 (74%). Despite a low rate of bacterial co-infection reported in patients with COVID-19, high rates of antimicrobial prescribing have been reported.5 , 34 , 35 It is not unreasonable to treat bacterial pneumonia in unwell patients empirically with antimicrobials. However, frequent use of broad-spectrum antibiotics in a hospital setting is a risk factor for hospital-acquired infections by MDROs because these antibiotics will alter microbiota and select naturally resistant bacteria.6 , 17 Previous studies have reported an increase in MRSA after SARS in 2003 and the gaining of antimicrobial-resistance in Gram-negative bacilli after COVID-19 pandemics.19 , 36 One study reported that 100% of COVID-19 patients with MDRO infections received preceding antibiotics.19 This was also observed in our study. Since administration of antibiotics to COVID-19 patients is heavily dependent on the judgement and experience of frontline clinicians,37 caution is needed when using empirical antibiotics in patients with COVID-19. Stewardship will play a crucial role in limiting unnecessary antimicrobial use and antimicrobial-resistance.

Our study has several limitations. First, this study does not give information on MDRO infection, because positive cultures of MDRO may represent disease or colonization. Although it would be more useful to discriminate MDRO infections from colonization, we assume that understanding the MDRO co-detection in COVID-19 patients is also worthwhile. Second, this study was from the early months of the COVID-19 pandemic, and incidence, microbiology and resistance patterns may differ as the pandemic unfolded and patient management evolved. Third, culture samples were not available for all patients and information about previous bacterial colonization was not known for many patients. Culture implementation was limited due to safety and biosafety of medical staff in a laboratory. Fourth, a retrospective study with a low number of patients included in our analysis might limit the generalizability of our findings. Thus, results of this study should be interpreted cautiously owing to potential bias and confounding factors from an observational study. Furthermore, it would be helpful to perform risk-score stratification with more data and successive internal and external validation for further understanding of MDRO isolation and secondary infection prevention.

In conclusion, MDROs were isolated in the significant number of patients with COVID-19. Previous LTCF stay and therapeutic use of corticosteroids were important risk factors for the isolation of MDROs. In-hospital mortality was higher in patients with MDRO isolation. Thus, infection control management, antibiotic stewardship, and surveillance culture to monitor secondary MDRO infection are necessary, especially for patients with COVID-19 outbreak in a long term care facility. Owing to the risk of MDRO infection, corticosteroid usage should be carefully considered only for patients with indication.

Footnotes

Funding: This work was supported by Soonchunhyang University Research Fund.

Conflict of interest: There are no potential conflicts of interest to declare.

Author contributions: Conceptualization: HJS, TK, and EJC. Data curation: HJS, TK, EL, SeYP, SY, HLL, MCK, SIH, SB, MJK, SHK, JHY, KMJ, YML, SL, JWP, MHJ, THK, and EJC. Writing-original draft: HJS and KT. Review & editing: HJS, TK, EL, SeYP, and EJC

Supplementary material associated with this article can be found in the online version at https://doi.org/10.1016/j.ajic.2021.06.005.

Appendix. SUPPLEMENTARY MATERIALS

mmc1.docx (29.1KB, docx)

References

  • 1.Zhu N, Zhang D, Wang W. A Novel Coronavirus from Patients with Pneumonia in China, 2019. N Engl J Med. 2020;382:727–733. doi: 10.1056/NEJMoa2001017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Wu Z, McGoogan JM. Characteristics of and important lessons from the Coronavirus Disease 2019 (COVID-19) outbreak in China: Summary of a report of 72 314 cases from the Chinese center for disease control and prevention. JAMA. 2020;323:1239–1242. doi: 10.1001/jama.2020.2648. [DOI] [PubMed] [Google Scholar]
  • 3.World Health Organization . 2020. WHO Coronavirus Disease (COVID-19) Dashboard. In. [Google Scholar]
  • 4.Metersky ML, Masterton RG, Lode H, File TM, Jr., Babinchak T. Epidemiology, microbiology, and treatment considerations for bacterial pneumonia complicating influenza. Int J Infect Dis. 2012;16:e321–e331. doi: 10.1016/j.ijid.2012.01.003. [DOI] [PubMed] [Google Scholar]
  • 5.Clancy CJ, Nguyen MH. COVID-19, superinfections and antimicrobial development: what can we expect? Clin Infect Dis. 2020;71:2736–2743. doi: 10.1093/cid/ciaa524. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Fu Y, Yang Q, Xu M. Secondary bacterial infections in critical ill patients with Coronavirus disease 2019. Open Forum Infect Dis. 2020;7:ofaa220. doi: 10.1093/ofid/ofaa220. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Lansbury L, Lim B, Baskaran V, Lim WS. Co-infections in people with COVID-19: a systematic review and meta-analysis. J Infect. 2020;81:266–275. doi: 10.1016/j.jinf.2020.05.046. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Lupia T, Scabini S, Mornese Pinna S, Di Perri G, De Rosa FG. Corcione S. 2019 novel coronavirus (2019-nCoV) outbreak: a new challenge. J Glob Antimicrob Resist. 2020;21:22–27. doi: 10.1016/j.jgar.2020.02.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Lv Z, Cheng S, Le J, Huang J, Feng L, Zhang B. Clinical characteristics and co-infections of 354 hospitalized patients with COVID-19 in Wuhan, China: a retrospective cohort study. Microbes Infect. 2020;22:195–199. doi: 10.1016/j.micinf.2020.05.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Zhu X, Ge Y, Wu T. Co-infection with respiratory pathogens among COVID-2019 cases. Virus Res. 2020;285 doi: 10.1016/j.virusres.2020.198005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Garcia-Vidal C, Sanjuan G, Moreno-García E. Incidence of co-infections and superinfections in hospitalised patients with COVID-19: a retrospective cohort study. Clin Microbiol Infect. 2021;27:83–88. doi: 10.1016/j.cmi.2020.07.041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Rawson TM, Moore LSP, Castro-Sanchez E, Charani E, Davies F, Satta G. COVID-19 and the potential long-term impact on antimicrobial resistance. J Antimicrob Chemother. 2020;75:1681–1684. doi: 10.1093/jac/dkaa194. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Monnet DL, Harbarth S. Will coronavirus disease (COVID-19) have an impact on antimicrobial resistance? Euro Surveill. 2020;25 doi: 10.2807/1560-7917.ES.2020.25.45.2001886. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Martin E, Philbin M, Hughes G, Bergin C, Talento AF. Antimicrobial stewardship challenges and innovative initiatives in the acute hospital setting during the COVID-19 pandemic. J Antimicrob Chemother. 2021;76:272–275. doi: 10.1093/jac/dkaa400. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Baiou A, Elbuzidi AA, Bakdach D. Clinical characteristics and risk factors for the isolation of multi-drug-resistant Gram-negative bacteria from critically ill patients with COVID-19. J Hosp Infect. 2021;110:165–171. doi: 10.1016/j.jhin.2021.01.027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Ojha V, Mani A, Pandey NN, Sharma S, Kumar S. CT in coronavirus disease 2019 (COVID-19): a systematic review of chest CT findings in 4410 adult patients. Eur Radiol. 2020;30:6129–6138. doi: 10.1007/s00330-020-06975-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Siegel JD, Rhinehart E, Jackson M, Chiarello L. Management of multidrug-resistant organisms in health care settings, 2006. Am J Infect Control. 2007;35:S165–S193. doi: 10.1016/j.ajic.2007.10.006. [DOI] [PubMed] [Google Scholar]
  • 18.Clinical and Laboratory Standards Institute . Clinical and laborator Standards Institiue; Wayne, PA: 2011. Performance standards for antimicrobial susceptibility testing; twenty-first informational supplement. CLSI document M100-S21. [Google Scholar]
  • 19.Nori P, Cowman K, Chen V, Bartash R, Szymczak W, Madaline T. Bacterial and fungal coinfections in COVID-19 patients hospitalized during the New York City pandemic surge. Infect Control Hosp Epidemiol. 2020;42:84–88. doi: 10.1017/ice.2020.368. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Kim D, Ahn JY, Lee CH. Increasing resistance to extended-spectrum cephalosporins, fluoroquinolone, and carbapenem in gram-negative bacilli and the emergence of carbapenem non-susceptibility in klebsiella pneumoniae: analysis of Korean antimicrobial resistance monitoring system (KARMS) data from 2013 to 2015. Ann Lab Med. 2017;37:231–239. doi: 10.3343/alm.2017.37.3.231. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Lee H, Yoon EJ, Kim D. Establishment of the South Korean national antimicrobial resistance surveillance system, Kor-GLASS, in 2016. Euro Surveill. 2018;23 doi: 10.2807/1560-7917.ES.2018.23.42.1700734. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Shinohara DR, Dos Santos Saalfeld SM, Martinez HV. Outbreak of endemic carbapenem-resistant Acinetobacter baumannii in a coronavirus disease 2019 (COVID-19)-specific intensive care unit. Infect Control Hosp Epidemiol. 2021:1–3. doi: 10.1017/ice.2021.98. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Sun Jin L, Fisher D. MDRO transmission in acute hospitals during the COVID-19 pandemic. Curr Opin Infect Dis. 2021;34:365–371. doi: 10.1097/QCO.0000000000000735. [DOI] [PubMed] [Google Scholar]
  • 24.Donà D, Di Chiara C, Sharland M. Multi-drug-resistant infections in the COVID-19 era: a framework for considering the potential impact. J Hosp Infect. 2020;106:198–199. doi: 10.1016/j.jhin.2020.05.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Kim T, Choi MJ, Kim SB, Kim JY, Lee J, Oh HS. Strategical preparedness and response actions in the healthcare system against coronavirus disease 2019 according to transmission scenario in Korea. Infect Chemother. 2020;52:389–395. doi: 10.3947/ic.2020.52.3.389. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.McMichael TM, Currie DW, Clark S. Epidemiology of Covid-19 in a long-term care facility in King County, Washington. N Engl J Med. 2020;382:2005–2011. doi: 10.1056/NEJMoa2005412. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Pulcini C, Clerc-Urmes I, Attinsounon CA, Fougnot S, Thilly N. Antibiotic resistance of Enterobacteriaceae causing urinary tract infections in elderly patients living in the community and in the nursing home: a retrospective observational study. J Antimicrob Chemother. 2019;74:775–781. doi: 10.1093/jac/dky488. [DOI] [PubMed] [Google Scholar]
  • 28.Giamarellos-Bourboulis EJ, Netea MG, Rovina N, Akinosoglou K, Antoniadou A, Antonakos N. Complex Immune dysregulation in COVID-19 patients with severe respiratory failure. Cell Host Microbe. 2020;27:992–1000.e3. doi: 10.1016/j.chom.2020.04.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Zhou Z, Ren L, Zhang L. Heightened innate immune responses in the respiratory tract of COVID-19 patients. Cell Host Microbe. 2020;27 doi: 10.1016/j.chom.2020.04.017. 883–90.e2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.National Institutes of Health (US); Bethesda (MD): 2021. Coronavirus Disease 2019 (COVID-19) Treatment Guidelines. [PubMed] [Google Scholar]
  • 31.Horby P, Lim WS, Emberson JR. Dexamethasone in hospitalized patients with Covid-19. N Engl J Med. 2021;384:693–704. doi: 10.1056/NEJMoa2021436. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Li S, Hu Z, Song X. High-dose but not low-dose corticosteroids potentially delay viral shedding of patients with COVID-19. Clin Infect Dis. 2021;72:1297–1298. doi: 10.1093/cid/ciaa829. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Hughes S, Troise O, Donaldson H, Mughal N, Moore LSP. Bacterial and fungal coinfection among hospitalized patients with COVID-19: a retrospective cohort study in a UK secondary-care setting. Clin Microbiol Infect. 2020;26:1395–1399. doi: 10.1016/j.cmi.2020.06.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Langford BJ, So M, Raybardhan S. Bacterial co-infection and secondary infection in patients with COVID-19: a living rapid review and meta-analysis. Clin Microbiol Infect. 2020;26:1622–1629. doi: 10.1016/j.cmi.2020.07.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Rawson TM, Moore LSP, Zhu N. Bacterial and fungal co-infection in individuals with coronavirus: a rapid review to support COVID-19 antimicrobial prescribing. Clin Infect Dis. 2020;71:2459–2468. doi: 10.1093/cid/ciaa530. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Yap FH, Gomersall CD, Fung KS. 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;39:511–516. doi: 10.1086/422641. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Chang CY, Chan KG. Underestimation of co-infections in COVID-19 due to non-discriminatory use of antibiotics. J Infect. 2020;81:e29–e30. doi: 10.1016/j.jinf.2020.06.077. [DOI] [PMC free article] [PubMed] [Google Scholar]

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