Next Article in Journal
Genetic and Phenotypic Characterization of Subclinical Mastitis-Causing Multidrug-Resistant Staphylococcus aureus
Next Article in Special Issue
Optimized Antibiotic Management of Critically Ill Patients with Severe Pneumonia Following Multiplex Polymerase Chain Reaction Testing: A Prospective Clinical Exploratory Trial
Previous Article in Journal
Feasibility, Effectiveness and Safety of Elastomeric Pumps for Delivery of Antibiotics to Adult Hospital Inpatients—A Systematic Review
Previous Article in Special Issue
Compliance with a Procalcitonin-Based Protocol in Patients with Ventilation-Associated Pneumonia: An Observational, Retrospective Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Missed Opportunities for Antifungal Stewardship during the COVID-19 Era

by
Brandon K. Hawkins
1,*,
Samantha D. Walker
2 and
Mahmoud A. Shorman
3
1
College of Pharmacy, University of Tennessee Health Science Center, Knoxville, TN 37920, USA
2
Department of Pharmacy, University of Tennessee Medical Center, Knoxville, TN 37920, USA
3
Division of Infectious Diseases, University of Tennessee Medical Center, Knoxville, TN 37920, USA
*
Author to whom correspondence should be addressed.
Antibiotics 2023, 12(9), 1352; https://doi.org/10.3390/antibiotics12091352
Submission received: 4 July 2023 / Revised: 28 July 2023 / Accepted: 10 August 2023 / Published: 23 August 2023
(This article belongs to the Special Issue Antimicrobial Stewardship in Critical Care)

Abstract

:
Significant increases in antibacterial use were observed during the COVID-19 pandemic. However, subsequent analyses found this increase in antibiotic use to be excessive in comparison with the relatively low rates of bacterial coinfection. Although patients who are critically ill with COVID-19 may be at an increased risk for pulmonary aspergillosis, antifungal use in these populations remained underreported, particularly in later phases of the pandemic. This single-center, population-level cohort analysis compares the monthly use rates of mold-active antifungal drugs in the medical intensive care unit during April 2019–March 2020 (baseline) with those during April 2020–November 2022. The antifungal drugs included in the analysis were liposomal amphotericin B, anidulafungin, isavuconazonium, posaconazole, and voriconazole. We found that during 2020–2022, the usage of antifungal drugs was not significantly different from baseline for all included agents except isavuconazonium, which was used significantly more (p = 0.009). There were no changes in diagnostic modalities between the two time periods. The reported prevalence of and mortality from COVID-19-associated pulmonary aspergillosis (CAPA) may have resulted in higher rates of prescribing antifungal drugs for critically ill patients with COVID-19. Antimicrobial stewardship programs should develop and apply tools to facilitate more effective and appropriate antifungal use.

1. Introduction

The principles of antimicrobial stewardship experienced significant setbacks during the COVID-19 pandemic. Multiple reviews note significant increases in the prescribing of antibacterial drugs to prevent potential bacterial pneumonia in cases of COVID-19, despite reportedly low rates of bacterial coinfection (3.5–14.3%) [1]. However, qualitative research shows that high clinical suspicion of an infection is not the only factor to influence the prescribing of antibiotics by inpatient physicians. Even when a provider may not feel that antibiotics are necessary, the institutional prescribing culture and provider concern of missing an infection can spur their use [2].
Over the course of the pandemic, reports emerged of COVID-19 pneumonia being complicated by fungal superinfections [3]. Although invasive candidiasis, cryptococcosis, mucormycosis, pneumocystosis, and endemic fungal infections have been reported with COVID-19, cases involving invasive pulmonary aspergillosis (IPA) were widely disseminated throughout the global population [3,4,5]. These case reports were especially concerning for their occurrence in patients without immunocompromise, a typical hallmark of IPA [6,7]. While invasive aspergillosis has been associated with other viral illnesses, particularly in patients who are critically ill with influenza, its association with COVID-19 was relatively novel [8,9,10]. COVID-19-associated pulmonary aspergillosis (CAPA) develops via a mechanism that is not fully understood, but likely involves a complex interplay of disease, host, and iatrogenic-related factors. Some of the earliest therapies demonstrated to reduce COVID-19 mortality were corticosteroids, the use of which is normally avoided when treating influenza patients due to the potential for invasive pulmonary aspergillosis [11]. Subsequent studies also yielded reductions in the mortality of more severely ill COVID-19 patients using baricitinib or tocilizumab [12,13], both of which bear black box warnings for increased risk of fungal superinfection [14,15]. Thus, many patients were eligible to receive one or more of these agents prior to or during an ICU admission for COVID-19, potentially placing them at increased risk of developing CAPA.
Consistent with American and European guidelines for the management of aspergillosis, initial therapeutic reviews on CAPA emphasized early initiation of antifungal therapy in critically ill patients with a high suspicion for IPA [5,16,17]. These guidelines underscore the diagnostic use of histology, microbiology, clinical factors, imaging, and serologic assays (i.e., β-D-glucan, galactomannan). However, delays in receiving results for the Aspergillus galactomannan (GM) assay and reservations about performing aerosolizing procedures such as bronchoalveolar lavage (BAL) made it increasingly difficult to confirm suspected cases of CAPA beyond the patient’s clinical condition and radiographic findings. This diagnostic uncertainty was further complicated by poor clinical response despite best available therapy, difficulties in diagnosing mold infections, and early clinical reports of relatively high rates of invasive pulmonary aspergillosis (up to 39% in some cases) in patients critically ill with COVID-19. Consequently, concern for potential CAPA in these patients likely contributed to increased use of antifungal agents in intensive care populations.
While most reviews to date have focused on antibacterial use during the COVID-19 pandemic, we hypothesize that the pandemic also impacted the use of antifungal agents in critically ill patients. Limited data from Spain and France found elevation in the use of several mold-active antifungals, including amphotericin B, echinocandins, and voriconazole [18,19]. To date, only a single review analyzed trends of antifungal usage in the United States. These authors found lower rates of micafungin use during April to May 2020, but no significant overall difference from average intensive care unit (ICU) antifungal usage the year prior [20]. However, the short timeframe of this study lacks consideration for regional and temporal COVID-19 trends and hospitalizations. An extended timeframe review could provide additional insight into the impact of hospitalizations and the implications of CAPA on antifungal use in the later phases of the COVID-19 pandemic.

2. Results

Overall, we found that monthly days of therapy (DOTs) of antifungal agents per 1000 patient days (PDs) in the medical intensive care service were broadly similar between the two time periods. There was a statistically significant increase in monthly DOTs/1000 PDs of isavuconazonium (ISA) from baseline (1.05 vs. 21.21, p = 0.009) during 2020–2022, but there was no statistically significant difference from baseline in the usage of liposomal amphotericin B (L-AMB), anidulafungin (AFG), posaconazole (POS), or voriconazole (VRC) during this period. However, monthly usage of POS and VRC was numerically higher during 2020–2022 than during the baseline period, with DOTs per 1000 PDs being approximately 1.5× and 2× higher than baseline, respectively (Table 1). To more accurately define the usage of antifungal agents during the COVID-19 pandemic, we examined four time periods that exhibited the highest numbers of COVID-19 patient days in the medical intensive care service (July 2020, December 2020, August to October 2021, and January to February 2022). We found that only the latter two time periods (August to October 2021 and January to February 2022) had obvious increases in antifungal DOTs/1000 PDs (Figure 1). We also reviewed the results of GM testing in serum and BAL samples from patients admitted to the medical intensive care service with a diagnosis code relating to acute hypoxic respiratory failure, COVID-19, pneumonia, respiratory distress, sepsis/septic shock, and shortness of breath (Figure 2). The most common immunoassay performed for the detection of aspergillus was serum GM. Greater than 95% of serum GM assays (263/275) had an index of 0.24 or less, while approximately 87% of BAL GM specimens (59/68) had an index of 0.49 or less. Of those patients from whom a serum or BAL GM sample was obtained, only 6% (17/288) had a lower respiratory sputum or BAL specimen that was positive for presumptive Aspergillus species. An additional seven patients without a serum or BAL GM had a respiratory culture (sputum or BAL) positive for presumptive aspergillus. In total, 24 patients with a lower respiratory sputum or BAL culture were identified as being presumptively positive for aspergillus, regardless of whether a GM index was ordered (Figure 3).

3. Discussion

Our study yielded mixed results regarding the current literature reporting antifungal use in COVID-19 patients. Similar to the prior report from the U.S., antifungal usage was relatively low in the initial phases of the pandemic. [20] However, by March 2021, there had been a large increase in antifungal use among medical intensive care patients, consistent with previous reports from European studies [18,19]. In reviewing the overall trend (Figure 1) and comparing it with baseline usage, the likely reason for this surge was the increased use of isavuconazonium. The results are particularly interesting when reviewed in the context of the burden of COVID-19 on the medical critical care unit. While some timeframes more closely reflect antifungal use and COVID-19 census than others, the pandemic period was characterized by occasional decreases (August 2021 to October 2021 and January 2022 to February 2022) and increases (June 2022 to July 2022 and October 2022) in the prescribing of antifungal agents. The delayed increase in antifungal use during 2020 and into 2021 could be the result of a heightened awareness of the risk of CAPA in this patient population. This increased awareness and guidelines that advised early empiric anti-aspergillus therapy likely contributed to the increase in the use of antifungal agents, particularly isavuconazonium. This may help explain some of the increased antifungal DOTs per 1000 PDs following the admission of large waves of COVID-19 patients to the medical critical care unit, where clinical non-responders may have prompted the reevaluation of a CAPA diagnosis. The benefits of antifungal therapy in these patients may have been judged to outweigh the associated risks. While the true prevalence of CAPA remains unknown, a recent meta-analysis found that its prevalence in critically ill patients was much lower than previously reported (~10%) [21]. Inconsistent definitions of CAPA early in the pandemic may have exaggerated the reported disease prevalence and concern, leading to excessive use of antifungal agents in susceptible populations.
It is generally accepted that early reports (prior to September 2020) overestimated the rates of CAPA among critically ill patients [22]. Despite several months of high COVID-19 census in the medical intensive care unit prior to September 2020, our data suggest that the prescribing of antifungals did not begin to increase until March 2021. By this time, case reports of COVID-19 associated candidemia and mucormycosis had also begun to emerge. Based on our population level data, we cannot determine whether these additional disease states significantly contributed to the increased antifungal usage observed in the medical intensive care unit during time. However, if COVID-19-associated candidemia was a significant contributor to antifungal usage, we would expect to find an increase in the prescribing of echinocandins. These agents are preferred to azole antifungals or amphotericin B in critically ill patients for the treatment of candidemia, with limited exceptions [23]. As monthly rates of anidulafungin usage did not differ significantly from baseline during this period, we do not believe that reports of COVID-19-associated candidemia were driving the prescribing of antifungals during this period. Several of the antifungal agents included in this analysis also have varying levels of activity against Mucorales, notably liposomal amphotericin B, isavuconazonium, and posaconazole. While there was no significant change in usage of liposomal amphotericin B or posaconazole, isavuconazonium usage was significantly (~20-fold) higher than baseline. Given this, it could be inferred that the use of isavuconazonium may have been driven, at least in part, by reports of COVID-19-associated mucormycosis (CAM). Although these cases were reported globally throughout the later phases of the pandemic, the vast majority were confined to India during the summer of 2021 [3,24]. While isavuconazole usage was relatively increased in August of 2021, other instances of high monthly utilization occurred during the fall of 2021 and winter 2022, outside of the timeframe observed for most other cases of CAM. Though the exact prevalence of CAM is unknown, it appears to be less prevalent in the U.S., as compared to India. A recent review identified only 8 cases of CAM in the U.S., as compared to 42 cases from India [25]. Although we cannot conclude that reports of CAM did not impact isavuconazonium usage at our center in the U.S., we surmise that these reports presented less of a concern than those regarding CAPA.
Serologic and microbiologic testing remains at the heart of the current diagnostic methodology for invasive aspergillosis. The European Organization for Research and Treatment of Cancer/Mycoses Study Group Education and Research Consortium (EORTC/MSGERC) criteria used for the diagnosis of invasive fungal diseases utilize categories of proven, probable, and possible IPA to distinguish infection from colonization These criteria rely heavily on invasive sampling, histopathologic examination, and the testing of BAL samples for Aspergillus GM to confirm suspected cases of invasive aspergillosis. [26] During the COVID-19 pandemic, aerosolizing bronchoscopy procedures were avoided for the safety of the medical staff, which presented unique diagnostic challenges in confirming CAPA. While GM assays can also be performed with serum, their low sensitivity limits their usefulness in accurately ruling out the diagnosis of CAPA [27,28]. These diagnostic limitations may be further compounded by logistical considerations, as not every facility is equipped to perform on-site GM testing. At the authors’ institution, turnaround times from sample obtainment to result could take up to seven business days, further lengthening the duration of empirical antifungal therapy. Several of these factors led to a diagnostic paradox, with many patients appearing clinically ill enough to warrant empiric treatment with antifungal agents because of their risk for CAPA, but with no optimal way to accurately diagnose or rule out CAPA. This is largely reflected in the results of GM assays performed with BAL versus serum samples. For the reasons described above, serum GM indices were much more widely obtained than were BAL GM indices and the results were overwhelmingly negative for Aspergillus spp. (Figure 2). Interestingly, even when a BAL GM index was obtained, its performance was relatively poor compared to traditional culture techniques. It remains unknown whether some of the culture positive cases could have represented potential Aspergillus colonization. However, our comparison of positive respiratory cultures among all patients for whom a GM assay was obtained (Figure 3) suggests that concerns regarding the prevalence of CAPA may have been overstated. Although it is impossible to draw this conclusion definitively in the absence of individual patient level review, the authors hypothesize that many of these cases would likely fail to qualify for even the proposed “possible” category of CAPA diagnosis [27].
In the absence of high quality serologic or histopathologic evidence to support a diagnosis of CAPA, there is intense interest in developing scoring and prediction algorithms to help identify those most at risk for CAPA. However, despite the knowledge related to CAPA and other invasive fungal diseases that was accumulated during the COVID-19 pandemic, there remains a lack of standardization and consensus related to diagnostic approach, risk factors, and treatment. Numerous research definitions for CAPA have been proposed with little overlap and an overall lack of specificity [21]. Multiple international societies have published position papers regarding CAPA diagnosis and treatment, all of which acknowledge the challenge of accurately diagnosing the infection with few proven strategies for doing so [27,29]. Several studies attempted to identify specific risk factors for CAPA with results that were heterogeneous and sometimes conflicting [30]. In an effort to stratify patients at high risk for CAPA upon admission to the ICU, Calderón-Parra et al. (2022) developed and validated a local clinical prediction scoring tool they called the CAPA score at a single center tertiary institution in Madrid, Spain [31]. At their institution, age, active smoking status, chronic respiratory disease, chronic kidney disease, chronic corticosteroid treatment, tocilizumab treatment, and an elevated acute physiology and chronic health evaluation (APACHE II) score were identified as risk factors for development of CAPA [31]. Although investigators in the U.S. have proposed other diagnostic algorithms, they lack external validation [32]. While scoring algorithms and prediction tools provide important steps in delineating risks among critically ill patients, these models warrant further validation across diverse populations prior to external adoption.
Despite the high mortality associated with CAPA, it is prudent to consider that no antimicrobial agent is benign. The benefits of antifungal treatment must be judiciously weighed against the risk for potential toxicity and development of resistance. Unnecessary antifungal use puts patients, particularly those who are critically ill, at high risk for avoidable adverse events. Overuse of other, less toxic agents can impact financial costs associated with drug treatment and, in some cases, risk compromising efficacy. Several of these agents, notably the azole antifungals, have the potential for serious drug-drug interactions and toxicities associated with their use. The preferred first line treatment for invasive aspergillosis, voriconazole, is frequently associated with cardiac arrhythmias, neurotoxicity, and hepatotoxicity [33,34,35]. These adverse events may still occur despite appropriate therapeutic drug monitoring. [36,37] Significant drug-drug interactions also exist with voriconazole, making its use and management in critically ill patients complex and challenging. Other treatment options such as liposomal amphotericin B exhibit significant renal and hepatotoxicity [38]. While echinocandins are well tolerated, their use is recommended only in cases of salvage therapy or intolerance of other first line agents. Posaconazole and isavuconazonium are viable alternatives for treatment but are more expensive [39,40].
Much like with antibacterial agents, antimicrobial stewardship programs (ASPs) can play a significant role in the responsible use of antifungal drugs. The core elements of antibiotic stewardship, including prospective audits and feedback, development of locally validated screening tools and treatment protocols, and preauthorization to minimize unnecessary antibacterial use, are easily adaptable to antifungal therapy [41]. ASPs can also focus on interventions that are likely to be the most useful in determining the need for antifungal therapy, namely diagnostic stewardship and appropriate test interpretation. When supported with adequate diagnostics, ASPs improve the use of appropriate antifungal drugs and thereby reduce their economic burden [42,43,44,45,46]. Ensuring adequate testing of appropriate specimens, for example using BAL rather than serum samples whenever possible to determine GM indices, and proper interpretation of the results can help to distinguish IPA from other diseases of non-fungal concern. In retrospect, the careful review and application of risk factors associated with the development of CAPA might have reduced unnecessary exposure to antifungal agents and accompanying toxicities/expenses.
Our review of antifungal usage in ICU patients during the COVID-19 pandemic is not without limitations. Our analysis is limited to a single-center, retrospective, population level review in a limited subset of critically ill patients. This study also lacks patient level evaluations related to immunosuppressive therapy (i.e., tocilizumab or baricitinib use), length of stay, mechanical ventilation history, outcomes, drug related adverse events, and specific diagnoses. However, the diagnosis of CAPA remains difficult, in part because its clinical definitions are highly variable. Considering this and the frequent use of empiric antifungal coverage at the authors’ institution, we believe that rates of confirmed, probable, and possible IPA or CAPA are likely to add little to the discussion surrounding changes in prescribing practices and antifungal use in this patient population. Our analysis was also limited by our inability to definitively rule out the use of antifungals for other COVID-19-associated fungal infections (i.e., COVID-19-associated candidemia and mucormycosis) that might occur concomitantly with CAPA. However, given differences in locale, appropriate therapy, and associated timeframes, we believe that these were minor factors driving the usage of selected antifungals at the authors’ institution.

4. Materials and Methods

To investigate the potential impact of the COVID-19 pandemic on antifungal use, we examined antimicrobial usage data associated with the institution’s medical intensive care service. Days of therapy (DOT) per 1000 patient days (DOT/1000 PDs) were the units selected for evaluation, as these are currently the standard employed by the CDC’s National Healthcare Safety Network Antimicrobial Use and Resistance module. A day of therapy is defined as one calendar day (24 h) in which a specific antimicrobial is administered to an individual patient, regardless of dosing [47]. These data were reviewed for the use of five common mold-active antifungal agents, liposomal amphotericin B (L-AMB), anidulafungin (AFG), isavuconazonium (ISA), posaconazole (POS), and voriconazole (VRC). Monthly epidemiologic data was used to evaluate COVID-19-related use of antifungal agents in the ICU. As Aspergillus GM testing is one of the primary assays used for the diagnosis of aspergillosis at the authors’ institution, GM test data were also reviewed for patients admitted to the medical intensive care service. BAL and additional sputum specimens were also reviewed.
While other intensive care areas provided additional capacity in times of high COVID-19 caseloads, medical intensive care was the primary service involved in the treatment of critically ill COVID-19 patients at the authors’ institution. This service is exclusively staffed by the pulmonary critical care provider group, which provided a relatively consistent approach to prescribing practices. Our hospital is a 710-bed tertiary referral and academic medical center in eastern Tennessee in the U.S. that serves as one of the primary centers of acute care for the surrounding areas, including eastern Tennessee and portions of southeastern Kentucky and western North Carolina.
A two-sample T-test of unequal variances was employed to test the hypothesis that monthly antifungal usage in the medical intensive care service between April 2020 and November 2022 differed from baseline. Baseline antifungal usage for the medical intensive care service was calculated on a monthly basis using the DOT/1000 PDs from April 2019 through March 2020. This date range was selected to consider seasonality associated with prescribing trends and disease occurrence, as well as its temporal proximity to subsequent COVID-19 mitigation measures and local surges. An F-test was used to evaluate statistical variances and select the appropriate test based on the distribution. All antifungal agents exhibited unequal variances between the two time periods.

5. Conclusions

Isavuconazonium usage in our medical intensive care patients increased significantly from baseline following the start of the COVID-19 pandemic in the U.S. Voriconazole and posaconazole also experienced numerically higher rates of usage, but these were not statistically significant. This suggests that during the COVID-19 pandemic, the use of antifungal drugs, like that of antibacterial agents, increased as a result of various COVID-related factors. Initial reports that suggested high rates of CAPA prevalence likely exaggerated the clinical suspicion and concern for the disease. This, coupled with diagnostic uncertainty and risk-benefit analyses that favored the use of antifungal drugs in poorly responding patients, most likely led to increased antifungal use in critically ill patients.
At present, the limited available literature makes it difficult to appropriately assess the scale of antifungal use in critically ill patients with COVID-19. Further studies should be conducted to elucidate the use of antifungal agents in this patient population, particularly those with extended durations of analysis from across the U.S. Beyond antifungal use, issues remain regarding the diagnosis of IPA and CAPA. At present, definitions and diagnostic limitations complicate the accurate identification of patients at high risk for CAPA. Consensus definitions should be more widely developed to help guide appropriate treatment and determine which patients are most likely to benefit from empiric antifungal therapy. Institutions may also consider the use of alternative diagnostics given the limitations associated with Aspergillus GM indices. Research efforts to standardize the diagnosis and risk factors of CAPA will aid in the selection of patients likely to benefit from empiric antifungal treatment while mitigating unnecessary treatment of low-risk patients.

Author Contributions

Conceptualization, B.K.H. and S.D.W.; methodology, B.K.H., S.D.W. and M.A.S.; formal analysis, B.K.H. and S.D.W.; data curation, M.A.S.; writing—original draft preparation, B.K.H. and S.D.W.; writing—review and editing, B.K.H., S.D.W. and M.A.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This study was approved as exempted research by the University of Tennessee Graduate School of Medicine, IRB number 5085. Ethical review and approval were exempt for this study under 45 CFR 46.104 Category #4 (iii): Secondary research for which consent is not required: Analysis involving identifiable biospecimens regulated under 45 CFR parts 160 and 164, subparts A and E [HIPAA], for the purposes of ‘‘health care operations’’ or “research.”

Informed Consent Statement

Patient consent was waived, as the retrospective nature of this study makes subject contact unreasonably difficult and could unduly bias study results in the cases of death or relocation. Additionally, this study meets the criteria for exempt research as described in the Institutional Review Board Statement.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to the use of identifiable private information or identifiable biospecimens.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Langford, B.J.; So, M.; Raybardhan, S.; Leung, V.; Westwood, D.; MacFadden, D.R.; Soucy, J.-P.R.; Daneman, N. 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. [Google Scholar] [CrossRef] [PubMed]
  2. Livorsi, D.; Comer, A.; Matthias, M.S.; Perencevich, E.N.; Bair, M.J. Factors influencing antibiotic-prescribing decisions among inpatient physicians: A qualitative investigation. Infect. Control Hosp. Epidemiol. 2015, 36, 1065–1072. [Google Scholar] [CrossRef]
  3. Baddley, J.W.; Thompson, G.R.; Chen, S.C.-A.; White, P.L.; Johnson, M.D.; Nguyen, M.H.; Schwartz, I.S.; Spec, A.; Ostrosky-Zeichner, L.; Jackson, B.R.; et al. Coronavirus disease 2019–associated invasive fungal infection. Open Forum Infect. Dis. 2021, 8, ofab510. [Google Scholar] [CrossRef] [PubMed]
  4. Koehler, P.; Cornely, O.A.; Böttiger, B.W.; Dusse, F.; Eichenauer, D.A.; Fuchs, F.; Hallek, M.; Jung, N.; Klein, F.; Persigehl, T.; et al. COVID-19 associated pulmonary aspergillosis. Mycoses 2020, 63, 528–534. [Google Scholar] [CrossRef]
  5. Verweij, P.E.; Gangneux, J.P.; Bassetti, M.; Brüggemann, R.J.M.; Cornely, O.A.; Koehler, P.; Lass-Flörl, C.; van de Veerdonk, F.L.; Chakrabarti, A.; Hoenigl, M. Diagnosing COVID-19-associated pulmonary aspergillosis. Lancet Microbe 2020, 1, e53–e55. [Google Scholar] [CrossRef] [PubMed]
  6. Antinori, S.; Rech, R.; Galimberti, L.; Castelli, A.; Angeli, E.; Fossali, T.; Bernasconi, D.; Covizzi, A.; Bonazzetti, C.; Torre, A.; et al. Invasive pulmonary aspergillosis complicating SARS-CoV-2 pneumonia: A diagnostic challenge. Travel Med. Infect. Dis. 2020, 38, 101752. [Google Scholar] [CrossRef] [PubMed]
  7. Blaize, M.; Mayaux, J.; Nabet, C.; Lampros, A.; Marcelin, A.-G.; Thellier, M.; Piarroux, R.; Demoule, A.; Fekkar, A. Fatal invasive aspergillosis and coronavirus disease in an immunocompetent patient. Emerg. Infect. Dis. 2020, 26, 1636–1637. [Google Scholar] [CrossRef]
  8. Schauwvlieghe, A.F.A.D.; Rijnders, B.J.A.; Philips, N.; Verwijs, R.; Vanderbeke, L.; Van Tienen, C.; Lagrou, K.; Verweij, P.E.; Van De Veerdonk, F.L.; Gommers, D.; et al. Invasive aspergillosis in patients admitted to the intensive care unit with severe influenza: A retrospective cohort study. Lancet Respir. Med. 2018, 6, 782–792. [Google Scholar] [CrossRef]
  9. Ku, Y.H.; Chan, K.S.; Yang, C.C.; Tan, C.K.; Chuang, Y.C.; Yu, W.L. Higher mortality of severe influenza patients with probable aspergillosis than those with and without other coinfections. J. Formos. Med. Assoc. 2017, 116, 660–670. [Google Scholar] [CrossRef]
  10. Schwartz, I.S.; Friedman, D.; Zapernick, L.; Dingle, T.C.; Lee, N.; Sligl, W.; Zelyas, N.; Smith, S.W. High rates of influenza-associated invasive pulmonary aspergillosis may not be universal: A retrospective cohort study from Alberta, Canada. Clin. Infect. Dis. 2020, 71, 1760–1763. [Google Scholar] [CrossRef]
  11. RECOVERY Collaborative Group; Chappell, L.; Horby, P.; Lim, W.S.; Emberson, J.R.; Mafham, M.; Bell, J.L.; Linsell, L.; Staplin, N.; Brightling, C.; et al. Dexamethasone in hospitalized patients with COVID-19. New Engl. J. Med. 2021, 384, 693–704. [Google Scholar]
  12. RECOVERY Collaborative Group. Tocilizumab in patients admitted to hospital with COVID-19 (Recovery): A randomised, controlled, open-label, platform trial. Lancet 2021, 397, 1637–1645. [Google Scholar] [CrossRef] [PubMed]
  13. Marconi, V.C.; Ramanan, A.V.; de Bono, S.; Kartman, C.E.; Krishnan, V.; Liao, R.; Piruzeli, M.L.B.; Alatorre-Alexander, J.; Pellegrini, R.d.C.; Estrada, V.; et al. Efficacy and safety of baricitinib for the treatment of hospitalised adults with COVID-19 (COV-BARRIER): A randomised, double-blind, parallel-group, placebo-controlled phase 3 trial. Lancet Respir. Med. 2021, 9, 1407–1418. [Google Scholar] [CrossRef]
  14. Tocilizumab [Package Insert]; Genentech, Inc.: South San Francisco, CA, USA,, 2022; Available online: https://www.gene.com/download/pdf/actemra_prescribing.pdf (accessed on 22 May 2023).
  15. Baricitinib [Package Insert]; Lilly USA, LLC.: Indianapolis, IN, USA, 2022; Available online: https://uspl.lilly.com/olumiant/olumiant.html#pi (accessed on 22 May 2023).
  16. Patterson, T.F.; Thompson, G.R.; Denning, D.W.; Fishman, J.A.; Hadley, S.; Herbrecht, R.; Kontoyiannis, D.P.; Marr, K.A.; Morrison, V.A.; Nguyen, M.H.; et al. Practice guidelines for the diagnosis and management of aspergillosis: 2016 update by the Infectious Diseases Society of America. Clin. Infect. Dis. 2016, 63, e1–e60. [Google Scholar] [CrossRef]
  17. Ullmann, A.J.; Aguado, J.M.; Arikan-Akdagli, S.; Denning, D.W.; Groll, A.H.; Lagrou, K.; Lass-Flörl, C.; Lewis, R.E.; Munoz, P.; Verweij, P.E.; et al. Diagnosis and management of Aspergillus diseases: Executive summary of the 2017 ESCMID-ECMM-ERS guideline. Clin. Microbiol. Infect. 2018, 24 (Suppl. 1), e1–e38. [Google Scholar] [CrossRef] [PubMed]
  18. Grau, S.; Hernández, S.; Echeverría-Esnal, D.; Almendral, A.; Ferrer, R.; Limón, E.; Horcajada, J.P.; Catalan Infection Control Antimicrobial Stewardship Program (VINCat-PROA). Antimicrobial consumption among 66 acute care hospitals in Catalonia: Impact of the COVID-19 pandemic. Antibiotics 2021, 10, 943. [Google Scholar] [CrossRef] [PubMed]
  19. Bienvenu, A.-L.; Bestion, A.; Pradat, P.; Richard, J.-C.; Argaud, L.; Guichon, C.; Roux, S.; Piriou, V.; Paillet, C.; Leboucher, G.; et al. Impact of COVID-19 pandemic on antifungal consumption: A multicenter retrospective analysis. Crit. Care 2022, 26, 384. [Google Scholar] [CrossRef]
  20. Nestler, M.; Godbout, E.; Lee, K.; Kim, J.; Noda, A.J.; Taylor, P.; Pryor, R.; Markley, J.D.; Doll, M.; Bearman, G.; et al. Stevens. Fungal superinfection in patients with COVID-19: Role of antifungal stewardship? Am. J. Infect. Control 2021, 49, 279–280. [Google Scholar] [CrossRef]
  21. Kariyawasam, R.M.; Dingle, T.C.; Kula, B.E.; Vandermeer, B.; Sligl, W.I.; Schwartz, I.S. Defining COVID-19-associated pulmonary aspergillosis: Systematic review and meta-analysis. Clin. Microbiol. Infect. 2022, 28, 920–927. [Google Scholar] [CrossRef]
  22. Egger, M.; Bussini, L.; Hoenigl, M.; Bartoletti, M. Prevalence of COVID-19-associated pulmonary aspergillosis: Critical review and conclusions. J. Fungi 2022, 8, 390. [Google Scholar] [CrossRef]
  23. Pappas, P.G.; Kauffman, C.A.; Andes, D.R.; Clancy, C.J.; Marr, K.A.; Ostrosky-Zeichner, L.; Reboli, A.C.; Schuster, M.G.; Vazquez, J.A.; Walsh, T.J.; et al. Clinical practice guideline for the management of candidiasis: 2016 update by the infectious diseases society of america. Clin. Infect. Dis. 2016, 62, e1–e50. [Google Scholar] [CrossRef]
  24. Balushi, A.A.; Ajmi, A.A.; Sinani, Q.A.; Menon, V.; Al Berieki, Z.; Al Shezawi, A.; Al Azri, S.; Al Rashdi, A.; Al Jardani, A.; Al Baluki, T.; et al. COVID-19-associated mucormycosis: An opportunistic fungal infection. A case series and review. Int. J. Infect. Dis. 2022, 121, 203–210. [Google Scholar] [CrossRef] [PubMed]
  25. Hoenigl, M.; Seidel, D.; Carvalho, A.; Rudramurthy, S.M.; Arastehfar, A.; Gangneux, J.-P.; Nasir, N.; Bonifaz, A.; Araiza, J.; Klimko, N.; et al. The emergence of COVID-19 associated mucormycosis: A review of cases from 18 countries. Lancet Microbe 2022, 3, e543–e552. [Google Scholar] [CrossRef] [PubMed]
  26. Donnelly, J.P.; Chen, S.C.; Kauffman, C.A.; Steinbach, W.J.; Baddley, J.W.; Verweij, P.E.; Clancy, C.J.; Wingard, J.R.; Lockhart, S.R.; Groll, A.H.; et al. Revision and update of the consensus definitions of invasive fungal disease from the European organization for Research and Treatment of Cancer and the Mycoses Study Group Education and Research Consortium. Clin. Infect. Dis. 2020, 71, 1367–1376. [Google Scholar] [CrossRef] [PubMed]
  27. Koehler, P.; Bassetti, M.; Chakrabarti, A.; Chen, S.C.A.; Colombo, A.L.; Hoenigl, M.; Klimko, N.; Lass-Flörl, C.; Oladele, R.O.; Vinh, D.C.; et al. Defining and managing COVID-19-associated pulmonary aspergillosis: The 2020 ECMM/ISHAM consensus criteria for research and clinical guidance. Lancet Infect. Dis. 2021, 21, e149–e162. [Google Scholar] [CrossRef]
  28. Lamoth, F.; Lewis, R.E.; Walsh, T.J.; Kontoyiannis, D.P. Navigating the uncertainties of COVID-19-associated aspergillosis: A comparison with influenza-associated aspergillosis. J. Infect. Dis. 2021, 224, 1631–1640. [Google Scholar] [CrossRef]
  29. Hashim, Z.; Neyaz, Z.; Marak, R.S.; Nath, A.; Nityanand, S.; Tripathy, N.K. Practice guidelines for the diagnosis of COVID-19-associated pulmonary aspergillosis in an intensive care setting. J. Intensive Care Med. 2021, 37, 985–997. [Google Scholar] [CrossRef] [PubMed]
  30. Montrucchio, G.; Lupia, T.; Lombardo, D.; Stroffolini, G.; Corcione, S.; De Rosa, F.G.; Brazzi, L. Risk factors for invasive aspergillosis in ICU patients with COVID-19: Current insights and new key elements. Ann. Intensive Care 2021, 11, 136. [Google Scholar] [CrossRef]
  31. Calderón-Parra, J.; Mills-Sanchez, P.; Moreno-Torres, V.; Tejado-Bravo, S.; Romero-Sánchez, I.; Balandin-Moreno, B.; Calvo-Salvador, M.; Portero-Azorín, F.; García-Masedo, S.; Muñez-Rubio, E.; et al. COVID-19-associated pulmonary aspergillosis (CAPA): Risk factors and development of a predictive score for critically ill COVID-19 patients. Mycoses 2022, 65, 541–550. [Google Scholar] [CrossRef]
  32. Permpalung, N.; Chiang, T.P.-Y.; Avery, R.K.; Ostrander, D.; Datta, K.; Segev, D.L.; Durand, C.M.; Zhang, S.X.; Massie, A.B.; Marr, K.A. Coronavirus disease 2019–associated pulmonary aspergillosis: A noninvasive screening model for additional diagnostics. Open Forum Infect. Dis. 2023, 10, ofad155. [Google Scholar] [CrossRef]
  33. Zonios, D.; Yamazaki, H.; Murayama, N.; Natarajan, V.; Palmore, T.; Childs, R.; Skinner, J.; Bennett, J.E. Voriconazole metabolism, toxicity, and the effect of cytochrome P450 2C19 genotype. J. Infect. Dis. 2014, 209, 1941–1948. [Google Scholar] [CrossRef] [PubMed]
  34. Pfizer Inc. VFEND (Voriconazole) Prescribing Information; Pfizer: New York, NY, USA, 2022. [Google Scholar]
  35. Alkan, Y.; Haefeli, W.E.; Burhenne, J.; Stein, J.; Yaniv, I.; Shalit, I. Voriconazole-induced QT interval prolongation and ventricular tachycardia: A non-concentration-dependent adverse effect. Clin. Infect. Dis. 2004, 39, e49–e52. [Google Scholar] [CrossRef] [PubMed]
  36. Chu, H.Y.; Jain, R.; Xie, H.; Pottinger, P.; Fredricks, D.N. Voriconazole therapeutic drug monitoring: Retrospective cohort study of the relationship to clinical outcomes and adverse events. BMC Infect. Dis. 2013, 13, 105. [Google Scholar] [CrossRef]
  37. Li, H.; Li, M.; Yan, J.; Gao, L.; Zhou, L.; Wang, Y.; Li, Q.; Wang, J.; Chen, T.; Wang, T.; et al. Voriconazole therapeutic drug monitoring in critically ill patients improves efficacy and safety of antifungal therapy. Basic Clin. Pharmacol. Toxicol. 2020, 127, 495–504. [Google Scholar] [CrossRef]
  38. Bates, D.W.; Su, L.; Yu, D.T.; Chertow, G.M.; Seger, D.L.; Gomes, D.R.J.; Dasbach, E.J.; Platt, R. Mortality and costs of acute renal failure associated with amphotericin B therapy. Clin. Infect. Dis. 2001, 32, 686–693. [Google Scholar] [CrossRef] [PubMed]
  39. Antosz, O.; Peyton-Thomas, B.; Selby, C.; Bozeman, A.; Leary, C.; Devarakonda, S.; Mansour, R.; Mills, G.; Koshy, N. Comparison of posaconazole versus voriconazole in the induction of acute myeloid leukemia: Impact on cost, safety, and efficacy. Biol. Blood Marrow Transplant. 2017, 23, S417. [Google Scholar] [CrossRef]
  40. Harrington, R.; Lee, E.; Yang, H.; Wei, J.; Messali, A.; Azie, N.; Wu, E.Q.; Spalding, J. Cost-Effectiveness Analysis of Isavuconazole vs. Voriconazole as First-Line Treatment for Invasive Aspergillosis. Adv. Ther. 2016, 34, 207–220. [Google Scholar] [CrossRef]
  41. Johnson, M.D.; Lewis, R.E.; Ashley, E.S.D.; Ostrosky-Zeichner, L.; Zaoutis, T.; Thompson, G.R.; Andes, D.R.; Walsh, T.J.; Pappas, P.G.; Cornely, O.A.; et al. Core recommendations for antifungal stewardship: A statement of the mycoses study group education and research consortium. J. Infect. Dis. 2020, 222 (Suppl. 3), S175–S198. [Google Scholar] [CrossRef]
  42. Hart, E.; Nguyen, M.; Allen, M.; Clark, C.M.; Jacobs, D.M. A systematic review of the impact of antifungal stewardship interventions in the United States. Ann. Clin. Microbiol. Antimicrob. 2019, 18, 24. [Google Scholar] [CrossRef]
  43. Markogiannakis, A.; Korantanis, K.; Gamaletsou, M.N.; Samarkos, M.; Psichogiou, M.; Daikos, G.; Sipsas, N.V. Impact of a non-compulsory antifungal stewardship program on overuse and misuse of antifungal agents in a tertiary care hospital. Int. J. Antimicrob. Agents 2021, 57, 106255. [Google Scholar] [CrossRef]
  44. Muñoz, P.; Valerio, M.; Vena, A.; Bouza, E. Antifungal stewardship in daily practice and health economic implications. Mycoses 2015, 58 (Suppl. 2), 14–25. [Google Scholar] [CrossRef]
  45. Machado, M.; Chamorro de Vega, E.; Martínez-Jiménez, M.D.C.; Rodríguez-González, C.G.; Vena, A.; Navarro, R.; Zamora-Cintas, M.I.; Agnelli, C.; Olmedo, M.; Galar, A.; et al. Utility of 1,3 β-d-glucan assay for guidance in antifungal stewardship programs for oncologic patients and solid organ transplant recipients. J. Fungi 2021, 7, 59. [Google Scholar] [CrossRef]
  46. Murri, R.; Lardo, S.; De Luca, A.; Posteraro, B.; Torelli, R.; De Angelis, G.; Giovannenze, F.; Taccari, F.; Pavan, L.; Parroni, L.; et al. Post-prescription audit plus beta-d-glucan assessment decrease echinocandin use in people with suspected invasive candidiasis. Medicina 2021, 57, 656. [Google Scholar] [CrossRef]
  47. National Healthcare Safety Network. Chapter 14: Antimicrobial Use and Resistance (AUR) Module—January 2023. Centers for Disease Control and Prevention. 2023. Available online: https://www.cdc.gov/nhsn/pdfs/pscmanual/11pscaurcurrent.pdf (accessed on 1 May 2023).
Figure 1. Total Monthly Medical Intensive Care Antifungal DOTs/1000 PDs for COVID-19.
Figure 1. Total Monthly Medical Intensive Care Antifungal DOTs/1000 PDs for COVID-19.
Antibiotics 12 01352 g001
Figure 2. Serum vs. bronchoalveolar lavage galactomannan samples of ICU patients, 2020–2022.
Figure 2. Serum vs. bronchoalveolar lavage galactomannan samples of ICU patients, 2020–2022.
Antibiotics 12 01352 g002
Figure 3. Respiratory cultures with presumptive Aspergillus spp. among patients with any GM obtained.
Figure 3. Respiratory cultures with presumptive Aspergillus spp. among patients with any GM obtained.
Antibiotics 12 01352 g003
Table 1. Average Antifungal Days of Therapy per 1000 Patient Days in Medical Intensive Care.
Table 1. Average Antifungal Days of Therapy per 1000 Patient Days in Medical Intensive Care.
MonthL-AMBAFGISAPOSVRC
Apr 2019–Mar 2020 Monthly Average
(Baseline)
5.8223.151.050.796.66
Apr 2020–Nov 2022 Monthly Average3.7022.1221.871.1712.71
p-value0.3570.8150.0080.5970.051
Abbreviations used: AFG, Anidulafungin; ISA, Isavuconazonium; L-AMB, Liposomal Amphotericin B; POS, Posaconazole; VRC, Voriconazole.
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

Hawkins, B.K.; Walker, S.D.; Shorman, M.A. Missed Opportunities for Antifungal Stewardship during the COVID-19 Era. Antibiotics 2023, 12, 1352. https://doi.org/10.3390/antibiotics12091352

AMA Style

Hawkins BK, Walker SD, Shorman MA. Missed Opportunities for Antifungal Stewardship during the COVID-19 Era. Antibiotics. 2023; 12(9):1352. https://doi.org/10.3390/antibiotics12091352

Chicago/Turabian Style

Hawkins, Brandon K., Samantha D. Walker, and Mahmoud A. Shorman. 2023. "Missed Opportunities for Antifungal Stewardship during the COVID-19 Era" Antibiotics 12, no. 9: 1352. https://doi.org/10.3390/antibiotics12091352

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