Next Article in Journal
Genotypic Diversity, Antibiotic Resistance, and Virulence Phenotypes of Stenotrophomonas maltophilia Clinical Isolates from a Thai University Hospital Setting
Next Article in Special Issue
Clinical Characteristics and Outcomes of Persistent Staphylococcal Bacteremia in a Tertiary Care Hospital
Previous Article in Journal
Genomic Evidence for Direct Transmission of mecC-MRSA between a Horse and Its Veterinarian
Previous Article in Special Issue
Impact of Persistent Multidrug-Resistant Gram-Negative Bacteremia on Clinical Outcome and Mortality
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Systematic Review

Trends in Pseudomonas aeruginosa (P. aeruginosa) Bacteremia during the COVID-19 Pandemic: A Systematic Review

1
Health Services Research Unit, Singapore General Hospital, Singapore 169608, Singapore
2
MOH Holdings Pte Ltd., 1 Maritime Square, Singapore 099253, Singapore
3
Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Dr, Singapore 117597, Singapore
4
School of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow G12 8QQ, UK
5
Department of Pharmacy, Singapore General Hospital, Singapore 169608, Singapore
6
Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore 169857, Singapore
7
Department of Infectious Diseases, Singapore General Hospital, Singapore 169608, Singapore
*
Author to whom correspondence should be addressed.
Antibiotics 2023, 12(2), 409; https://doi.org/10.3390/antibiotics12020409
Submission received: 23 December 2022 / Revised: 25 January 2023 / Accepted: 16 February 2023 / Published: 18 February 2023
(This article belongs to the Special Issue The Issue of Multidrug-Resistant Pathogens in Nosocomial Infections)

Abstract

:
Pseudomonas aeruginosa (P. aeruginosa) is among the most common pathogens associated with healthcare-acquired infections, and is often antibiotic resistant, causing significant morbidity and mortality in cases of P. aeruginosa bacteremia. It remains unclear how the incidence of P. aeruginosa bacteremia changed during the Coronavirus Disease 2019 (COVID-19) pandemic, with studies showing almost contradictory conclusions despite enhanced infection control practices during the pandemic. This systematic review sought to examine published reports with incidence rates for P. aeruginosa bacteremia during (defined as from March 2020 onwards) and prior to the COVID-19 pandemic. A systematic literature search was conducted in accordance with PRISMA guidelines and performed in Cochrane, Embase, and Medline with combinations of the key words (pseudomonas aeruginosa OR PAE) AND (incidence OR surveillance), from database inception until 1 December 2022. Based on the pre-defined inclusion criteria, a total of eight studies were eligible for review. Prior to the pandemic, the prevalence of P. aeruginosa was on an uptrend. Several international reports found a slight increase in the incidence of P. aeruginosa bacteremia during the COVID-19 pandemic. These findings collectively highlight the continued importance of good infection prevention and control and antimicrobial stewardship during both pandemic and non-pandemic periods. It is important to implement effective infection prevention and control measures, including ensuring hand hygiene, stepping up environmental cleaning and disinfection efforts, and developing timely guidelines on the appropriate prescription of antibiotics.

1. Introduction

Pseudomonas aeruginosa (P. aeruginosa), a Gram-negative bacterium, is a common opportunistic pathogen associated with healthcare acquired infections [1] and immunocompromised individuals. Importantly, it is often antibiotic-resistant and is a major cause of morbidity and mortality among hospitalized patients [2]. P. aeruginosa infection substantially increases overall healthcare costs and can lead to severe, life-threatening infection, especially in immunocompromised hosts [3,4]. The treatment of P. aeruginosa bacteremia typically involves the use of antibiotics, but in some cases, the infection may be difficult to eradicate and may require prolonged or intensive therapy. Despite advances in medicine and antibiotic therapy, P. aeruginosa infection still results in high mortality rates of up to 62% in certain patient groups [5]. The bacteria enter the bloodstream and can spread to various organ-systems, leading to serious and potentially life-threatening complications such as sepsis, organ failure, and shock.
Considerable attention was paid to the surveillance and detection of P. aeruginosa because it is a nosocomial pathogen that is highly adaptable and has evolved resistance to multiple antibiotics, is ubiquitous in water in sinks (and can contaminate breathing equipment), disproportionately affects immunocompromised hosts, and is the most serious bacteria causing ventilator-associated pneumonia [6,7,8]. Healthcare-associated infections caused by P. aeruginosa are also becoming more common, presenting as pneumonia, urinary tract infections, surgical site infections, and bacteremia, and with a prevalence of around 7% among all nosocomial infections [9,10]. This number is even higher in intensive care unit (ICU) settings as P. aeruginosa is an opportunistic pathogen with a predilection for immunocompromised patients [8].
As there are few options for empirical treatment in the ICU, this makes antibiotic resistance in P. aeruginosa an issue of serious concern. A common class of drugs in empirical and definitive treatment is carbapenems (such as imipenem, meropenem and, more recently, doripenem). However, these have been rendered ineffective in the face of carbapenem-resistant Acinetobacter baumannii (CRA) and Enterobacteriaceae (CRE), which have seen more frequent outbreaks in some places during COVID-19 [11]. This could be in part due to overstretched human and laboratory resources for COVID-19 diagnosis, treatment, and care, which reduces the capacity to screen for multidrug-resistant organisms (MDROs), and may produce lapses in traditional infection prevention and control practices and result in the inability to isolate or cohort all MDRO-positive patients [12]. These factors may result in an increase in antibiotic resistance, and to combat the rise of resistance, antibiotic stewardship is essential in not only the prescription of antibiotics but also their de-escalation [13], along with the surveillance efforts required to inform recommendations.
Globally, the rates of P. aeruginosa infections have been on a general upward trend [14,15]. This may be partially attributed to the increasing prevalence of risk factors for P. aeruginosa infections, such as an aging population, increase in chronic disease burden, increased use of medical devices, and an increase in the number of immunocompromised individuals. Infrequently, there were also reports of P. aeruginosa outbreaks, due to inadvertent lapses in infection control measures such as unclean or faulty medical equipment, or environmental reservoirs that went by undetected [16]; the bacterium is found in a variety of environments, including soil, water, and clinical specimens. Moist environments are associated with outbreaks of P. aeruginosa, and it is also known to be a difficult-to-treat multidrug-resistant organism [6,7,8], and the increasing prevalence of resistance to multiple classes of antibiotics may contribute to the incidence of P. aeruginosa bacteremia.
During the Coronavirus Disease 2019 (COVID-19) pandemic, improved hand hygiene and enhanced infection prevention and control measures were thought to positively influence the rates of several nosocomial infections in healthcare settings [17,18], but this finding was not universal. It remains unclear if the incidence of P. aeruginosa bacteremia increased, decreased, or remained stable during the pandemic, with studies showing contradictory conclusions [19,20,21]. Questions also remain as to whether the increased prescription of antibiotics during the pandemic [22] contributed to the emergence of resistant strains, especially since exposure to antibiotics is a primary risk factor leading to resistance, and data have found that resistant P. aeruginosa strains may emerge as early as eight days after the initiation of meropenem [23].
With this background in mind, we hypothesized that compared with the pre-pandemic period, the incidence of P. aeruginosa should have decreased, with stable antibiotic susceptibility patterns during the COVID-19 pandemic. As a significant amount of time has passed since the pandemic first began in early 2020, it is, therefore, opportune to reflect on the collateral effects of the pandemic, and this review sought to examine published reports with incidence rates for P. aeruginosa bacteremia during and prior to the COVID-19 pandemic.

2. Methods

The review protocol was prospectively registered in PROSPERO (registration number CRD42023387066). A systematic literature search was conducted in accordance with PRISMA guidelines [24] and performed in Cochrane, Embase, and Medline, using combinations of the search terms (pseudomonas aeruginosa OR PAE) AND (incidence OR surveillance), from database inception until 1 December 2022. The full search strategy for the various databases is shown in Table 1.
The inclusion criteria for the present review include: (1) original studies published in English, and (2) with reported incidence of P. aeruginosa bacteremia (based on a positive blood culture result) during and prior to the COVID-19 pandemic. This was defined to be from March 2020 onwards, the point when the World Health Organization (WHO) declared COVID-19 a global pandemic. Full texts were obtained for all articles of interest and their reference lists were hand-searched to identify additional relevant papers. Conflicts were resolved by discussion and consensus amongst four study investigators (Q.X.N., N.Y.O., C.E.Y., and Y.L.L.).
A standardized data extraction form in Microsoft Excel was used to extract the relevant information from the studies reviewed. This was performed by three study investigators (Y.L.L., N.Y.O., and C.E.Y.) and cross-checked by a fourth (Q.X.N.) for accuracy.
As the number of available studies were limited and had dissimilar designs and diverse sources of data, this precluded the possibility of performing a meta-analysis.
As this study was a systematic review of published data, it did not require prior ethical approval.

3. Results

Of the 4604 initial search results, 1634 duplicates were removed. Then, 2914 studies were excluded at the title-abstract screening, and 48 more at the full-text screening due to the lack of reporting pre-post P. aeruginosa bacteremia data in the stipulated time period (Figure 1). Eight studies [19,20,21,25,26,27,28,29] were included in the final review, and their details and salient findings pertaining to our research question are summarized in Table 2. In the studies, the diagnosis of P. aeruginosa bacteremia was based on positive blood culture results.
There were two reports from Italy [26,27] and Turkey [21,29], and one report each from England [28], France [19], Japan [20], and Serbia [25]. None of the reports contained data from the year 2022 onwards. Four of the reports found higher incidence of P. aeruginosa bacteremia during the pandemic period (as compared to non-pandemic periods) [19,26,27,28], with two reporting no change in trend [21,25] and two reporting decreases in the incidence of P. aeruginosa bacteremia [20,29].
It was noteworthy that antibiotic susceptibility patterns for P. aeruginosa appeared to remain stable [19,26,28], although one report found a higher incidence of ceftazidime-resistant strains [19] with several reports documenting increased antibiotic prescription during the COVID-19 pandemic period [19,27]. Nonetheless, antibiotic resistance patterns are known to change over time and vary significantly based on geography and the type of infection [30].

4. Discussion

Prior to the COVID-19 pandemic, the prevalence of P. aeruginosa was on an uptrend [15,16]. However, the incidence rates for P. aeruginosa bacteremia during the COVID-19 pandemic remained contested, with four reports showing a higher incidence of P. aeruginosa bacteremia during the pandemic period (as compared to non-pandemic periods) [19,26,27,28], two reporting no change in trend [21,25], and two reporting decreases in the incidence of P. aeruginosa bacteremia [20,29].
A meta-analysis of 144 published studies from 2005 to 2016 found that, irrespective of a country’s income level, a significant proportion of healthcare-associated infections (35 to 55%) were in fact preventable [31]. This implies that there is both great potential to further reduce the burden of nosocomial infections and existing gaps in the implementation of infection control practices. During the COVID-19 pandemic, there was an increased demand for environmental services workers [32], and infection control measures in hospitals were thought to be enhanced during the COVID-19 pandemic, which should have theoretically reduced the incidence of hospital-acquired infections such as P. aeruginosa and Clostridioides difficile infections [33]. İpek et al. noted a decline in the incidence of K. pneumonia in their pediatric ICU, and did not see cases of P. aeruginosa or Enterococcus fecium. They attributed this remarkable finding to a rise in the hand hygiene rate, which was above 99% during the pandemic, while it averaged 94% before the pandemic [21]. P. aeruginosa bacteremia can be prevented through good hygiene practices. Improvements in infection control measures included hand hygiene, appropriate use of personal protection equipment (PPE), and an increased focus on environmental decontamination, all of which aimed to reduce the possibility of contact transmission and other nosocomial spread. However, it is also possible that prioritizing respiratory infections may have had unintended effects, as per the experiences of other centers [34], and other infection control measures may have been compromised during the pandemic.
There are recent reports of decreased compliance to hand hygiene [34] and significantly increased central-line-associated bloodstream infections (CLABSI) [35] during the COVID-19 pandemic. Although good hand hygiene, i.e., the practice of consistently and effectively washing or sanitizing one’s hands, is thought to be a cornerstone of infection control and prevention, data collected using an electronic hand hygiene monitoring system in two Danish hospitals found hand hygiene compliance was lower during the COVID-19 pandemic as compared to pre-pandemic periods [36,37]. In one of the studies, despite an initial improvement in hand hygiene compliance, healthcare workers appeared to revert to old routines once data presentation meetings on hand hygiene rates and hand hygiene related initiatives were stopped [36]. It is evident that hand hygiene compliance is not a one-time event, but requires a continuous process of ongoing education, monitoring, and improvement within the institutions. In fast-paced healthcare environments, healthcare providers may not have the time to wash their hands as often as recommended, which can impact compliance rates. Further to hand hygiene, data from 148 US hospitals also showed a rise in CLABSI, catheter-associated urinary tract infection, and MRSA bacteremia [38]. The authors attributed the rise to the additional burden of COVID-19 care disrupting routine practice, and pointed to lapses in usual infection prevention practices [38]. Lapses in optimal line care and infection control could have been aggravated by poorer staffing and an increased patient load during the pandemic [39]. For example, the intensive care unit capacity in some hospitals was expanded without an accompanying rise in skilled staff and equipment [40]. High patient volume, even without exceeding capacity, affects patient care [39], and this could have compromised certain infection control practices in the hospital. In mid-2020, there was also the problem of shortage of PPE in some parts of the world. A lack of resources, including funding and personnel, can impact the implementation and maintenance of effective hand hygiene programs. This may also have led to unintentional circumventions and contributed to the spread of nosocomial pathogens [41]. Self-contamination was also a frequently encountered problem associated with incorrect doffing procedures of PPE worn by healthcare providers during the pandemic [42]. In the case of P. aeruginosa, the bacterium can be easily spread from person to person or from contaminated medical equipment and surfaces, and can persist in the environment for long periods of time. P. aeruginosa bacteremia is a serious and potentially life-threatening condition that is associated with significant morbidity and mortality [2,3,4]. Regular monitoring and feedback, as well as ongoing education and improvement efforts, can help to close any gaps identified and improve infection control practice over time.
Separately, patients with moderate or severe COVID-19 illness appear predisposed to increased risk of hospital-acquired bloodstream infections [43,44]. A few reports suggested that COVID-19 patients seemed to be more susceptible to co- or secondary infections, [28], caused by Gram-negative bacteria such as P. aeruginosa, which was the second most common pathogen. This could be related to the use of steroids and other immunomodulators in critically ill COVID-19 patients. Other contributing factors included the longer hospitalization of severely ill COVID-19 patients and a higher risk of receiving invasive devices or admission to intensive care units [45]. Furthermore, for critically ill patients who require mechanical ventilation, P. aeruginosa is also the most common multidrug-resistant Gram-negative pathogen [46]. The use of invasive medical devices, such as ventilators and catheters, can also increase the risk of P. aeruginosa infections in hospital settings.
The epidemiology of P. aeruginosa infections varies depending on the population and healthcare setting, but several factors have been associated with an increased risk of infection. Importantly, the rise in the prescription of antibiotics in some countries during the pandemic [19,27,47] could have contributed to the observed trends. In particular, COVID-19 patients had high rates of antibiotic prescription and tended to receive antibiotics in view of chest radiograph changes since it is difficult to be certain that there is no concomitant or secondary bacterial infection [48,49]. Moreover, in the early stages of the COVID-19 pandemic, there was much uncertainty about the epidemiology and characteristics of the SARS-CoV-2 virus, coupled with a rapid increase in case numbers, a lack of clear treatment protocols, and the suspicion of nosocomial infections in patients with prolonged hospitalization [47]. Furthermore, there was the added complexity arising from the similarity between COVID-19 and pneumonia, in terms of clinical presentation and radiological and laboratory test results [50]. Additionally, drawing from past knowledge of respiratory viruses, viral outbreaks such as influenza were correlated with a rise in co-infections by bacterial pathogens; a meta-analysis by Klein et al. found that most studies fell within the range of 11 to 35% [51]. As a result, it was perhaps unsurprising that a retrospective analysis of 17 hospitals in South Carolina, United States, found a significant increase in overall and broad-spectrum antibiotic use in seven hospitals admitting patients with COVID-19 [22]. Furthermore, a 2022 meta-analysis of 19 studies found an overall high antibiotics consumption of 68% among COVID-19 patients [48], and this was particularly an issue among lower and middle-income countries. Further research has demonstrated that only a small minority of hospitalized COVID-19 patients suffered from bacterial or fungal co-infections [49,52], with 7% of patients having superimposed bacterial infection [49], less than other respiratory infections such as influenza. At the same time, in the community, antibiotics prescription as empiric treatment has also been deemed excessive, particularly in general practice [53,54]. This inappropriate use of antibiotics is concerning, as it exerts a selection pressure on the bacteria, selecting for strains that have developed resistance. Since the indiscriminate use of antibiotics contributes to resistance over time, this demands the development of timely clinical practice guidelines and appropriate antimicrobial stewardship interventions, even during a pandemic period. P. aeruginosa has high intrinsic resistance to antibiotics as well as a remarkable capacity to acquire new resistance mechanisms [55]. Of concern is the observed increased use of antibiotics without consultation and culture testing during the COVID-19 pandemic. Fortunately limited to a single report [56], this is a practice that must not be allowed to propagate. For septic patients who require antibiotic therapy, it is vital to first obtain blood cultures before antibiotic administration, and continually review the indication and use of antibiotics and stop or de-escalate antibiotics when appropriate to do so. Over the years, multifaceted interventions including improvements in antibiotic stewardship and surveillance have achieved some success in reducing the rates of nosocomial infections [31] and countering the problem of antibiotic resistance [57], and these efforts should be sustained.
As a proposal for effective institutional antimicrobial stewardship in a pandemic situation, a multi-disciplinary team effort involving doctors, pharmacists, nurses, and patient educators can be adopted. On a wider scale, recommendations should be directed by good collaboration across medical specialties such as public health, preventative medicine, infectious diseases, and microbiology.
Another possible explanation for the observed trend of higher incidence of P. aeruginosa bacteremia during the pandemic period is the longer length of stay of severe or moderately severe COVID-19 cases [44], especially for patients who acquire P. aeruginosa nosocomial infections. An increased length of stay was highly associated with the risk of acquisition of nosocomial infections [58], which in turn also resulted in poorer outcomes.
Nevertheless, limitations of the present review include the small number of reports and heterogeneous nature of the studies, which precluded the feasibility of performing a meta-analysis. Second, the incidence of P. aeruginosa bacteremia is subject to some temporal variations [59,60], and the studies covered relatively short periods, while the pandemic has lasted three years (and is still not officially over). The circumstances and context changed as the pandemic progressed, and a time-sequence analysis might provide useful statistical information and characteristics and be more enlightening. Third, the collateral effects of the pandemic may also not be fully realized until further longitudinal studies become available. The reports in the present review only contained data from 2019 to 2021. There is a need for continual, close monitoring. Fourth, the extent of surveillance efforts may have been limited during the pandemic, partly due to lower testing rates, manpower shortages, fears of disease transmission, etc. [61]. This may affect the data collected and our interpretations. Finally, it is also worth studying the outcomes of patients with P. aeruginosa bacteremia as early reports have hinted at the possibility of delayed diagnosis and delayed treatment [61] due to higher patient load and higher stress levels experienced by the medical staff during the COVID-19 pandemic. This is of clinical significance and should be the subject of future research, especially since the early recognition and administration of appropriate treatment of P. aeruginosa bacteremia is associated with better outcomes and lower rates of morbidity and mortality [62].

5. Conclusions

In conclusion, several international reports found a slight increase in the incidence of P. aeruginosa bacteremia during the COVID-19 pandemic. These findings run counter to our initial hypothesis, and they emphasize the continued importance of good infection prevention and control and antimicrobial stewardship during pandemic and non-pandemic periods. To reduce the risk of P. aeruginosa bacteremia and other infections, it is important to implement effective infection prevention and control measures, including ensuring hand hygiene, stepping up environmental cleaning and disinfection efforts, and developing timely guidelines on the appropriate prescription of antibiotics. These are important lessons for future pandemic planning. As part of ongoing antimicrobial stewardship and surveillance efforts, these trends should be further monitored and studied. Questions also remain as to whether these patients suffered worse outcomes during COVID-19 due to certain collateral effects of the pandemic, and this should be the focus of future investigations.

Author Contributions

Conceptualization, Q.X.N.; methodology, Q.X.N., N.Y.O., C.E.Y., Y.L.L., A.L.H.K. and B.H.T.; formal analysis, Q.X.N., N.Y.O., D.Y.X.L., C.E.Y., Y.L.L., A.L.H.K. and B.H.T.; investigation, Q.X.N., N.Y.O., C.E.Y. and Y.L.L.; writing—original draft preparation, Q.X.N., D.Y.X.L., N.Y.O., C.E.Y. and Y.L.L.; writing—review and editing, Q.X.N., D.Y.X.L., N.Y.O., C.E.Y., Y.L.L., A.L.H.K. and B.H.T.; supervision, A.L.H.K. and B.H.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Kollef, M.H.; Torres, A.; Shorr, A.F.; Martin-Loeches, I.; Micek, S.T. Nosocomial Infection. Crit. Care Med. 2021, 49, 169–187. [Google Scholar] [CrossRef] [PubMed]
  2. Lucena, A.; Dalla Costa, L.M.; Nogueira, K.S.; Matos, A.P.; Gales, A.C.; Paganini, M.C.; Castro, M.E.; Raboni, S.M. Nosocomial infections with metallo-beta-lactamase-producing Pseudomonas aeruginosa: Molecular epidemiology, risk factors, clinical features and outcomes. J. Hosp. Infect. 2014, 87, 234–240. [Google Scholar] [CrossRef] [PubMed]
  3. Morales, E.; Cots, F.; Sala, M.; Comas, M.; Belvis, F.; Riu, M.; Salvadó, M.; Grau, S.; Horcajada, J.P.; Montero, M.M.; et al. Hospital costs of nosocomial multi-drug resistant Pseudomonas aeruginosa acquisition. BMC Health Serv. Res. 2012, 12, 122. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Kaier, K.; Heister, T.; Götting, T.; Wolkewitz, M.; Mutters, N.T. Measuring the in-hospital costs of Pseudomonas aeruginosa pneumonia: Methodology and results from a German teaching hospital. BMC Infect. Dis. 2019, 19, 1028. [Google Scholar] [CrossRef] [Green Version]
  5. Vidal, F.; Mensa, J.; Almela, M.; Martínez, J.A.; Marco, F.; Casals, C.; Gatell, J.M.; Soriano, E.; Jimenez de Anta, M.T. Epidemiology and outcome of Pseudomonas aeruginosa bacteremia, with special emphasis on the influence of antibiotic treatment. Analysis of 189 episodes. Arch. Intern. Med. 1996, 156, 2121–2126. [Google Scholar] [CrossRef] [PubMed]
  6. Pfaller, M.A.; Jones, R.N.; Doern, G.V.; Kugler, K. Bacterial pathogens isolated from patients with bloodstream infection: Frequencies of occurrence and antimicrobial susceptibility patterns from the SENTRY antimicrobial surveillance program (United States and Canada, 1997). Antimicrob. Agents Chemother. 1998, 42, 1762–1770. [Google Scholar] [CrossRef] [Green Version]
  7. Richards, M.J.; Edwards, J.R.; Culver, D.H.; Gaynes, R.P. Nosocomial infections in medical intensive care units in the United States. National Nosocomial Infections Surveillance System. Crit. Care Med. 1999, 27, 887–892. [Google Scholar] [CrossRef]
  8. Bodey, G.P.; Jadeja, L.; Elting, L. Pseudomonas bacteremia. Retrospective analysis of 410 episodes. Arch. Intern. Med. 1985, 145, 1621–1629. [Google Scholar] [CrossRef]
  9. Magill, S.S.; Edwards, J.R.; Bamberg, W.; Beldavs, Z.G.; Dumyati, G.; Kainer, M.A.; Lynfield, R.; Maloney, M.; McAllister-Hollod, L.; Nadle, J.; et al. Emerging Infections Program Healthcare-Associated Infections and Antimicrobial Use Prevalence Survey Team. Multistate point-prevalence survey of health care-associated infections. N. Engl. J. Med. 2014, 370, 1198–1208. [Google Scholar] [CrossRef] [Green Version]
  10. Weiner, L.M.; Webb, A.K.; Limbago, B.; Dudeck, M.A.; Patel, J.; Kallen, A.J.; Edwards, J.R.; Sievert, D.M. Antimicrobial-Resistant Pathogens Associated With Healthcare-Associated Infections: Summary of Data Reported to the National Healthcare Safety Network at the Centers for Disease Control and Prevention, 2011–2014. Infect. Control. Hosp. Epidemiol. 2016, 37, 1288–1301. [Google Scholar] [CrossRef] [Green Version]
  11. Gottesman, T.; Fedorowsky, R.; Yerushalmi, R.; Lellouche, J.; Nutman, A. An outbreak of carbapenem-resistant Acinetobacter baumannii in a COVID-19 dedicated hospital. Infect. Prev. Pract. 2021, 3, 100113. [Google Scholar] [CrossRef] [PubMed]
  12. Monnet, D.L.; Harbarth, S. Will coronavirus disease (COVID-19) have an impact on antimicrobial resistance? Eurosurveillance 2020, 25, 2001886. [Google Scholar] [CrossRef] [PubMed]
  13. Campion, M.; Scully, G. Antibiotic Use in the Intensive Care Unit: Optimization and De-Escalation. J. Intensive Care Med. 2018, 33, 647–655. [Google Scholar] [CrossRef] [PubMed]
  14. Gerver, S.M.; Nsonwu, O.; Thelwall, S.; Brown, C.S.; Hope, R. Trends in rates of incidence, fatality and antimicrobial resistance among isolates of Pseudomonas spp. causing bloodstream infections in England between 2009 and 2018: Results from a national voluntary surveillance scheme. J. Hosp. Infect. 2022, 120, 73–80. [Google Scholar] [CrossRef] [PubMed]
  15. Werth, B.J.; Carreno, J.J.; Reveles, K.R. Shifting trends in the incidence of Pseudomonas aeruginosa septicemia in hospitalized adults in the United States from 1996–2010. Am. J. Infect. Control. 2015, 43, 465–468. [Google Scholar] [CrossRef]
  16. Iversen, B.G. Contaminated mouth swabs caused a multi-hospital outbreak of Pseudomonas aeruginosa infection. J. Oral Microbiol. 2010, 2, 5123. [Google Scholar] [CrossRef]
  17. Zhu, N.J.; Rawson, T.M.; Mookerjee, S.; Price, J.R.; Davies, F.; Otter, J.; Aylin, P.; Hope, R.; Gilchrist, M.; Shersing, Y.; et al. Changing patterns of bloodstream infections in the community and acute care across 2 coronavirus disease 2019 epidemic waves: A retrospective analysis using data linkage. Clin. Infect. Dis. 2022, 75, e1082–e1091. [Google Scholar] [CrossRef]
  18. Sturm, L.K.; Saake, K.; Roberts, P.B.; Masoudi, F.A.; Fakih, M.G. Impact of COVID-19 pandemic on hospital onset bloodstream infections (HOBSI) at a large health system. Am. J. Infect. Control 2022, 50, 245–249. [Google Scholar] [CrossRef]
  19. Amarsy, R.; Trystram, D.; Cambau, E.; Monteil, C.; Fournier, S.; Oliary, J.; Junot, H.; Sabatier, P.; Porcher, R.; Robert, J.; et al. “la Collégiale de Bactériologie–Virologie–Hygiène de l’Assistance Publique—Hôpitaux de Paris”. Surging bloodstream infections and antimicrobial resistance during the first wave of COVID-19: A study in a large multihospital institution in the Paris region. Int. J. Infect. Dis. 2022, 114, 90–96. [Google Scholar] [CrossRef]
  20. Hirabayashi, A.; Kajihara, T.; Yahara, K.; Shibayama, K.; Sugai, M. Impact of the COVID-19 pandemic on the surveillance of antimicrobial resistance. J. Hosp. Infect. 2021, 117, 147–156. [Google Scholar] [CrossRef]
  21. İpek, S.; Şahin, A.; Gungor, S.; Yurttutan, S.; Güllü, U.U.; Inal, S.; Demiray, Ş. Nosocomial Infections in Non-COVID-19 Pediatric Patients Prior to and During the Pandemic in a Pediatric Intensive Care Unit. Cureus 2022, 14, e21451. [Google Scholar] [CrossRef]
  22. Winders, H.R.; Bailey, P.; Kohn, J.; Faulkner-Fennell, C.M.; Utley, S.; Lantz, E.; Sarbacker, L.; Justo, J.A.; Bookstaver, P.B.; Weissman, S.; et al. Change in Antimicrobial Use During COVID-19 Pandemic in South Carolina Hospitals: A Multicenter Observational Cohort Study. Int. J. Antimicrob. Agents. 2021, 58, 106453. [Google Scholar] [CrossRef] [PubMed]
  23. Yusuf, E.; Van Herendael, B.; Verbrugghe, W.; Ieven, M.; Goovaerts, E.; Bergs, K.; Wouters, K.; Jorens, P.G.; Goossens, H. Emergence of antimicrobial resistance to Pseudomonas aeruginosa in the intensive care unit: Association with the duration of antibiotic exposure and mode of administration. Ann. Intensive Care. 2017, 7, 72. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ 2021, 372, n71. [Google Scholar] [CrossRef] [PubMed]
  25. Despotovic, A.; Milosevic, B.; Cirkovic, A.; Vujovic, A.; Cucanic, K.; Cucanic, T.; Stevanovic, G. The Impact of COVID-19 on the Profile of Hospital-Acquired Infections in Adult Intensive Care Units. Antibiotics 2021, 10, 1146. [Google Scholar] [CrossRef] [PubMed]
  26. Meschiari, M.; Onorato, L.; Bacca, E.; Orlando, G.; Menozzi, M.; Franceschini, E.; Bedini, A.; Cervo, A.; Santoro, A.; Sarti, M.; et al. Long-Term Impact of the COVID-19 Pandemic on In-Hospital Antibiotic Consumption and Antibiotic Resistance: A Time Series Analysis (2015–2021). Antibiotics 2022, 11, 826. [Google Scholar] [CrossRef]
  27. Shbaklo, N.; Corcione, S.; Vicentini, C.; Giordano, S.; Fiorentino, D.; Bianco, G.; Cattel, F.; Cavallo, R.; Zotti, C.M.; De Rosa, F.G. An Observational Study of MDR Hospital-Acquired Infections and Antibiotic Use during COVID-19 Pandemic: A Call for Antimicrobial Stewardship Programs. Antibiotics 2022, 11, 695. [Google Scholar] [CrossRef]
  28. Sloot, R.; Nsonwu, O.; Chudasama, D.; Rooney, G.; Pearson, C.; Choi, H.; Mason, E.; Springer, A.; Gerver, S.; Brown, C.; et al. Rising rates of hospital-onset Klebsiella spp. and Pseudomonas aeruginosa bacteraemia in NHS acute trusts in England: A review of national surveillance data, August 2020-February 2021. J. Hosp. Infect. 2022, 119, 175–181. [Google Scholar] [CrossRef]
  29. Yardimci, A.C.; Arman, D. Prevalence and Antimicrobial Resistance of Bloodstream Infections Caused by ESKAPEEc Pathogens: A Five-Year Analysis. Jundishapur J. Microbiol. 2022, 31, 15. [Google Scholar] [CrossRef]
  30. Morrissey, I.; Hackel, M.; Badal, R.; Bouchillon, S.; Hawser, S.; Biedenbach, D. A Review of Ten Years of the Study for Monitoring Antimicrobial Resistance Trends (SMART) from 2002 to 2011. Pharmaceuticals 2013, 6, 1335–1346. [Google Scholar] [CrossRef] [Green Version]
  31. Schreiber, P.W.; Sax, H.; Wolfensberger, A.; Clack, L.; Kuster, S.P.; Swissnoso. The preventable proportion of healthcare-associated infections 2005–2016: Systematic review and meta-analysis. Infect. Control Hosp. Epidemiol. 2018, 39, 1277–1295. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Ng, Q.X.; Yau, C.E.; Yaow, C.Y.L.; Lim, Y.L.; Xin, X.; Thumboo, J.; Fong, K.Y. Impact of COVID-19 on environmental services workers in healthcare settings: A scoping review. J. Hosp. Infect. 2022, 130, 95–103. [Google Scholar] [CrossRef] [PubMed]
  33. Wee, L.E.I.; Conceicao, E.P.; Tan, J.Y.; Magesparan, K.D.; Amin, I.B.M.; Ismail, B.B.S.; Toh, H.X.; Jin, P.; Zhang, J.; Wee, E.G.L.; et al. Unintended consequences of infection prevention and control measures during COVID-19 pandemic. Am. J. Infect. Control 2021, 49, 469–477. [Google Scholar] [CrossRef] [PubMed]
  34. Meda, M.; Gentry, V.; Reidy, P.; Garner, D. Unintended consequences of long-sleeved gowns in a critical care setting during the COVID-19 pandemic. J. Hosp. Infect. 2020, 106, 605–609. [Google Scholar] [CrossRef] [PubMed]
  35. Fakih, M.G.; Bufalino, A.; Sturm, L.; Huang, R.H.; Ottenbacher, A.; Saake, K.; Winegar, A.; Fogel, R.; Cacchione, J. Coronavirus disease 2019 (COVID-19) pandemic, central-line-associated bloodstream infection (CLABSI), and catheter-associated urinary tract infection (CAUTI): The urgent need to refocus on hardwiring prevention efforts. Infect. Control Hosp. Epidemiol. 2022, 43, 26–31. [Google Scholar] [CrossRef]
  36. Stangerup, M.; Hansen, M.B.; Hansen, R.; Sode, L.P.; Hesselbo, B.; Kostadinov, K.; Olesen, B.S.; Calum, H. Hand hygiene compliance of healthcare workers before and during the COVID-19 pandemic: A long-term follow-up study. Am. J. Infect. Control 2021, 49, 1118–1122. [Google Scholar] [CrossRef]
  37. Sandbøl, S.G.; Glassou, E.N.; Ellermann-Eriksen, S.; Haagerup, A. Hand hygiene compliance among healthcare workers before and during the COVID-19 pandemic. Am. J. Infect. Control 2022, 50, 719–723. [Google Scholar] [CrossRef]
  38. Lytras, T.; Tsiodras, S. Total patient load, regional disparities and in-hospital mortality of intubated COVID-19 patients in Greece, from September 2020 to May 2021. Scand J. Public Health 2022, 50, 671–675. [Google Scholar] [CrossRef]
  39. Hill, B. Changes to nurse-to-patient ratios in intensive care during the pandemic. Br. J. Nurs. 2020, 29, 1238–1240. [Google Scholar] [CrossRef]
  40. DeVoe, C.; Segal, M.R.; Wang, L.; Stanley, K.; Madera, S.; Fan, J.; Schouest, J.; Graham-Ojo, R.; Nichols, A.; Prasad, P.A.; et al. Increased rates of secondary bacterial infections, including Enterococcus bacteremia, in patients hospitalized with coronavirus disease 2019 (COVID-19). Infect. Control Hosp. Epidemiol. 2022, 43, 1416–1423. [Google Scholar] [CrossRef]
  41. Gottlieb, L.; Fridkin, S.K. It’s Hard to Measure Success While Caring for Surges in Coronavirus Disease 2019 (COVID-19) Hospitalizations. Clin. Infect. Dis. 2022, 74, 1755–1756. [Google Scholar] [CrossRef] [PubMed]
  42. Chughtai, A.A.; Chen, X.; Macintyre, C.R. Risk of self-contamination during doffing of personal protective equipment. Am. J. Infect. Control 2018, 46, 1329–1334. [Google Scholar] [CrossRef] [PubMed]
  43. Ong, C.C.H.; Farhanah, S.; Linn, K.Z.; Tang, Y.W.; Poon, C.Y.; Lim, A.Y.; Tan, H.R.; Binte Hamed, N.H.; Huan, X.; Puah, S.H.; et al. Nosocomial infections among COVID-19 patients: An analysis of intensive care unit surveillance data. Antimicrob Resist. Infect. Control 2021, 10, 119. [Google Scholar] [CrossRef] [PubMed]
  44. Rees, E.M.; Nightingale, E.S.; Jafari, Y.; Waterlow, N.R.; Clifford, S.; Pearson, C.A.B.; Group, C.W.; Jombart, T.; Procter, S.R.; Knight, G.M. COVID-19 length of hospital stay: A systematic review and data synthesis. BMC Med. 2020, 18, 270. [Google Scholar] [CrossRef]
  45. Rouzé, A.; Martin-Loeches, I.; Povoa, P.; Makris, D.; Artigas, A.; Bouchereau, M.; Lambiotte, F.; Metzelard, M.; Cuchet, P.; Boulle Geronimi, C.; et al. Relationship between SARS-CoV-2 infection and the incidence of ventilator-associated lower respiratory tract infections: A European multicenter cohort study. Intensive Care Med. 2021, 47, 188–198. [Google Scholar] [CrossRef]
  46. Chen, N.; Zhou, M.; Dong, X.; Qu, J.; Gong, F.; Han, Y.; Qiu, Y.; Wang, J.; Liu, Y.; Wei, Y.; et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: A descriptive study. Lancet 2020, 395, 507–513. [Google Scholar] [CrossRef] [Green Version]
  47. Grau, S.; Echeverria-Esnal, D.; Gómez-Zorrilla, S.; Navarrete-Rouco, M.E.; Masclans, J.R.; Espona, M.; Gracia-Arnillas, M.P.; Duran, X.; Comas, M.; Horcajada, J.P.; et al. Evolution of Antimicrobial Consumption During the First Wave of COVID-19 Pandemic. Antibiotics 2021, 10, 132. [Google Scholar] [CrossRef]
  48. Khan, S.; Hasan, S.S.; Bond, S.E.; Conway, B.R.; Aldeyab, M.A. Antimicrobial consumption in patients with COVID-19: A systematic review and meta-analysis. Expert. Rev. Anti. Infect. Ther. 2022, 20, 749–772. [Google Scholar] [CrossRef]
  49. Lansbury, L.; Lim, B.; Baskaran, V.; Lim, W.S. Co-infections in people with COVID-19: A systematic review and meta-analysis. J. Infect. 2020, 81, 266–275. [Google Scholar] [CrossRef]
  50. Rodriguez-Morales, A.J.; Cardona-Ospina, J.A.; Gutiérrez-Ocampo, E.; Villamizar-Peña, R.; Holguin-Rivera, Y.; Escalera-Antezana, J.P.; Alvarado-Arnez, L.E.; Bonilla-Aldana, D.K.; Franco-Paredes, C.; Henao-Martinez, A.F.; et al. Clinical, laboratory and imaging features of COVID-19: A systematic review and meta-analysis. Travel Med. Infect. Dis. 2020, 34, 101623. [Google Scholar] [CrossRef]
  51. Klein, E.Y.; Monteforte, B.; Gupta, A.; Jiang, W.; May, L.; Hsieh, Y.H.; Dugas, A. The frequency of influenza and bacterial coinfection: A systematic review and meta-analysis. Influ. Other Respir Viruses 2016, 10, 394–403. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Peng, J.; Wang, Q.; Mei, H.; Zheng, H.; Liang, G.; She, X.; Liu, W. Fungal co-infection in COVID-19 patients: Evidence from a systematic review and meta-analysis. Aging 2021, 13, 7745–7757. [Google Scholar] [CrossRef] [PubMed]
  53. Bara, W.; Brun-Buisson, C.; Coignard, B.; Watier, L. Outpatient Antibiotic Prescriptions in France: Patients and Providers Characteristics and Impact of the COVID-19 Pandemic. Antibiotics 2022, 11, 643. [Google Scholar] [CrossRef] [PubMed]
  54. Hek, K.; Ramerman, L.; Weesie, Y.M.; Lambooij, A.C.; Lambert, M.; Heins, M.J.; Hendriksen, J.M.T.; Verheij, R.A.; Cals, J.W.L.; van Dijk, L. Antibiotic Prescribing in Dutch Daytime and Out-of-Hours General Practice during the COVID-19 Pandemic: A Retrospective Database Study. Antibiotics 2022, 11, 309. [Google Scholar] [CrossRef]
  55. Livermore, D.M. Multiple mechanisms of antimicrobial resistance in Pseudomonas aeruginosa: Our worst nightmare? Clin. Infect. Dis. 2002, 34, 634–640. [Google Scholar] [CrossRef] [Green Version]
  56. Ul Mustafa, Z.; Salman, M.; Aldeyab, M.; Kow, C.S.; Hasan, S.S. Antimicrobial consumption among hospitalized patients with COVID-19 in Pakistan. SN Compr. Clin. Med. 2021, 3, 1691–1695. [Google Scholar] [CrossRef] [PubMed]
  57. Djordjevic, Z.M.; Folic, M.M.; Jankovic, S.M. Correlation between cefepime utilisation and Pseudomonas aeruginosa resistance rates to β-lactams and carbapenems in patients with healthcare-associated infections. J. Glob. Antimicrob. Resist. 2018, 13, 60–64. [Google Scholar] [CrossRef]
  58. Delgado-Rodríguez, M.; Bueno-Cavanillas, A.; López-Gigosos, R.; de Dios Luna-Castillo, J.; Guillén-Solvas, J.; Moreno-Abril, O.; Rodríguez-Tuñas, B.; Cueto-Espinar, A.; Rodríguez-Contreras, R.; Gálvez-Vargas, R.; et al. Hospital stay length as an effect modifier of other risk factors for nosocomial infection. Eur. J. Epidemiol. 1990, 6, 34–39. [Google Scholar] [CrossRef]
  59. Ramos, G.P.; Rocha, J.L.; Tuon, F.F. Seasonal humidity may influence Pseudomonas aeruginosa hospital-acquired infection rates. Int. J. Infect. Dis. 2013, 17, e757–e761. [Google Scholar] [CrossRef] [Green Version]
  60. Al-Hasan, M.N.; Wilson, J.W.; Lahr, B.D.; Eckel-Passow, J.E.; Baddour, L.M. Incidence of Pseudomonas aeruginosa bacteremia: A population-based study. Am. J. Med. 2008, 121, 702–708. [Google Scholar] [CrossRef] [Green Version]
  61. Vendrik, K.E.W.; Baktash, A.; Goeman, J.J.; Harmanus, C.; Notermans, D.W.; de Greeff, S.C.; Kuijper, E.J.; Cdifficile surveillance study group. Comparison of trends in Clostridioides difficile infections in hospitalised patients during the first and second waves of the COVID-19 pandemic: A retrospective sentinel surveillance study. Lancet Reg. Health Eur. 2022, 19, 100424. [Google Scholar] [CrossRef] [PubMed]
  62. Kang, C.I.; Kim, S.H.; Kim, H.B.; Park, S.W.; Choe, Y.J.; Oh, M.D.; Kim, E.C.; Choe, K.W. Pseudomonas aeruginosa bacteremia: Risk factors for mortality and influence of delayed receipt of effective antimicrobial therapy on clinical outcome. Clin. Infect. Dis. 2003, 37, 745–751. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. PRISMA flowchart showing the study abstraction process.
Figure 1. PRISMA flowchart showing the study abstraction process.
Antibiotics 12 00409 g001
Table 1. Full search strategy for Medline, Embase, and Cochrane databases.
Table 1. Full search strategy for Medline, Embase, and Cochrane databases.
Medline
1(Incidence or surveillance).ti,ab. or exp “incidence”/
2(pseudomonas aeruginosa or PAE).ti,ab. or exp “pseudomonas aeruginosa”/
31 and 2
4limit 3 to (english language and year = “2019 to 2023”)
EMBASE
1Incidence:ti,ab OR surveillance:ti,ab OR ‘incidence’/exp
2‘pseudomonas aeruginosis’:ti,ab OR ‘pseudomonas aeruginosa’/exp OR ‘pae’:ti,ab
3#1 AND #2
4#1 AND #2 AND [English]/lim AND [2019 to 2023]/py
Cochrane Database
#1(incidence or surveillance):ti,ab,kw AND (“pseudomonas aeruginosa” or PAE):ti,ab,kw
#2Incidence or surveillance
#3(incidence or surveillance):ti,ab,kw
#4MeSH descriptor: [Incidence] explode all trees
#5MeSH descriptor: [Pseudomonas aeruginosa] explode all trees
#6(pseudomonas aeruginosa OR PAE):ti,ab,kw
#7#5 OR #6
#8#5 AND #6
#9#3 OR #4
#10#7 AND #9
Table 2. Characteristics of the studies reviewed (arranged alphabetically by the first author’s last name).
Table 2. Characteristics of the studies reviewed (arranged alphabetically by the first author’s last name).
Study (Year)CountrySettingTime Periods ComparedKey Findings
Amarsy, 2022 [19]FranceMultihospital institutionJan–Apr 2019 and Jan–Apr 2020
-
higher incidence of bloodstream infection, ceftazidime-resistant strains of P. aeruginosa (2.4-fold increase)
-
increased antibiotic prescription during the pandemic period
Despotovic, 2022 [25]SerbiaAdult ICU, single-centerApr 2019–Apr 2021
-
a total of three P. aeruginosa bacteremia cases were recorded from 2019 to 2021, with no significant change in trend (p = 0.23)
Hirabayashi, 2022 [20]Japan1300 hospitals with ≥200 bedsJan–Sep 2019 and Jan–Sep 2020
-
decrease in incidence of P. aeruginosa by 7.2% between second quarter of 2019 and 2020, and by 3.6% between the third quarter
-
decrease in incidence of carbapenem-resistant P. aeruginosa as well
İpek, 2022 [21]TurkeyPaediatric ICU, single-centerApr–Sep 2019 and Apr–Sep 2020
-
there were 5 cases of P. aeruginosa observed during the pre-pandemic period and 0 during the pandemic period
Meschiari, 2022 [26]ItalyUniversity hospital, single-centerJan 2015–Feb 2020 and Mar 2020–Nov 2021
-
decrease in the trend of all antibiotic use during pandemic period
-
increase in bloodstream infection due to carbapenem-susceptible P. aeruginosa (p = 0.032) but not carbapenem-resistant strains (p = 0.406)
Shbaklo, 2022 [27]ItalyTertiary hospital, single-centerAug 2019–Feb 2020 and Feb 2020–Mar 2021
-
slight increase in the incidence rate ratio of P. aeruginosa bacteremia compared to pre-pandemic period (0.06 vs. 0.09, p = 0.96)
-
increased use of antibiotics (fourth- and fifth-generation cephalosporins and piperacillin-tazobactam) in the first wave of the COVID-19 pandemic
Sloot, 2022 [28]EnglandNHS acute trustsAug 2020 and Feb 2021
-
increase in incidence from 4.9 (N = 139, 95% CI 4.1 to 5.7) per 100,000 bed-days in Aug 2020 to 6.2 (N = 164, 95% CI 5.3 to 7.2) per 100,000 beddays in Feb 2021, coinciding with co- or secondary infections to COVID-19 cases
-
increases were seen for P. aeruginosa, Klebsiella spp. bacteremia but not for E. coli bacteremia
-
little variation in terms of antibiotic susceptibility results
Yardimci, 2022 [29]TurkeyTertiary hospital, single-centerJan 2016–Dec 2020
-
increase in incidence from 2016 to 2019 but decreased during the COVID-19 pandemic
-
13 cases (6.5%) in 2016, 17 cases (6.6%) in 2017, 36 cases (12.3%) in 2018, 37 cases (11.8%) in 2019 and 22 cases (10.5%) in 2020
Abbreviations: COVID-19, Coronavirus Disease 2019; ICU, intensive care unit; NHS, National Health Service.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Ng, Q.X.; Ong, N.Y.; Lee, D.Y.X.; Yau, C.E.; Lim, Y.L.; Kwa, A.L.H.; Tan, B.H. Trends in Pseudomonas aeruginosa (P. aeruginosa) Bacteremia during the COVID-19 Pandemic: A Systematic Review. Antibiotics 2023, 12, 409. https://doi.org/10.3390/antibiotics12020409

AMA Style

Ng QX, Ong NY, Lee DYX, Yau CE, Lim YL, Kwa ALH, Tan BH. Trends in Pseudomonas aeruginosa (P. aeruginosa) Bacteremia during the COVID-19 Pandemic: A Systematic Review. Antibiotics. 2023; 12(2):409. https://doi.org/10.3390/antibiotics12020409

Chicago/Turabian Style

Ng, Qin Xiang, Natasha Yixuan Ong, Dawn Yi Xin Lee, Chun En Yau, Yu Liang Lim, Andrea Lay Hoon Kwa, and Ban Hock Tan. 2023. "Trends in Pseudomonas aeruginosa (P. aeruginosa) Bacteremia during the COVID-19 Pandemic: A Systematic Review" Antibiotics 12, no. 2: 409. https://doi.org/10.3390/antibiotics12020409

APA Style

Ng, Q. X., Ong, N. Y., Lee, D. Y. X., Yau, C. E., Lim, Y. L., Kwa, A. L. H., & Tan, B. H. (2023). Trends in Pseudomonas aeruginosa (P. aeruginosa) Bacteremia during the COVID-19 Pandemic: A Systematic Review. Antibiotics, 12(2), 409. https://doi.org/10.3390/antibiotics12020409

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop