1. Introduction
Antifungal resistance among Candida species represents a serious threat for public health. Candidemia remains one of the most common leading cause of nosocomial bloodstream infections (BSI) with an attributable mortality of 30–40% despite adequate treatment [1,2]. Between 2000 and 2019, the incidence of candidemia in Europe has shown a worrisome upward trend, increasing from 2.2 cases/100,000 inhabitants/year to 3.2 cases/100,000 inhabitants/year [2]. High consumption of first-line antifungals and their inappropriate use is among the drivers of fungal resistance [3,4]. This occurs more frequently in high-risk settings, where they are routinely used for prophylaxis and or empirical treatment [5]. Hence, rising trends in resistance against azoles and echinocandines can severely impair the management of candidemia due to limited therapeutic options. The awareness of emerging resistance and species distribution is therefore of primarily importance to tailor a judicious use of the available drugs [6,7,8,9,10].
In Europe, Candida albicans is the most prevalent species responsible for invasive candidiasis, accounting for 70–90% of cases (with or without an identified focus) [7]. Susceptibility reports display wide geographical variabilities. For example, fluconazole non-susceptibility ranges from no cases in Iceland [11] to a 10% incidence in Spain [12]. Echinocandin resistance seems still negligible so far, being recorded in 1.4% of strains for caspofungin, 2.9% for anidulafungin, and 1.3% for micafungin, although with higher rates for anidulafungin and micafungin [13].
Of particular concern is the increased incidence of non-Candida albicans (NAC) strains. Candida parapsilosis and Candida glabrata are the next most common species causing invasive candidiasis, whose distribution changes at different latitudes. In fact, C. glabrata accounts for 9–21.1% of cases of candidemia in Northern Europe, while C. parapsilosis is more frequent in the Mediterranean area [8]. Many European studies [6,10,12,14,15,16,17,18,19,20,21] have shown an increase in azole resistance among invasive NAC species, although with different percentages (e.g., percentages of C. glabrata fluconazole resistance range from 2.8% in Iceland [11] to 88.6% in Denmark [6]).
Recently, surveillance studies have raised attention regarding the appearance of multidrug resistant (MDR) profiles among both C. albicans and NAC isolates [22]. In the absence of a standard definition, the term MDR for Candida is used to describe strains that are non-susceptible to more than one agent in more than two antifungal classes, and extensively drug resistant (XDR) is defined as non-susceptibility to more than one agent in more than three antifungal classes [22,23]. An observational study that collected data from 293 episodes of bloodstream infections (BSI) between 2001–2010 reported an incidence of 14.1% of C. glabrata isolates that were resistant to fluconazole and to one echinocandin [24]. Other European studies have already described the emergence of MDR strains in C. glabrata, C. krusei, C. parapsilosis, and C. tropicalis [15,25,26]. The global appearance of Candida auris as a causative agent of nosocomial outbreaks with high morbidity and mortality adds further concern to the preservation of current antifungal agents. First reported in Japan in 2009 [27], C. auris is intrinsically resistant to fluconazole, almost half of the isolates are resistant to amphotericin B, and it has a propensity to rapidly develop resistance to different classes of antifungals [28]. The capacity to survive for long periods in hospital environments and to colonize patients, as well as healthcare personnel, make C. auris a priority species to keep under surveillance [29].
Growing initiatives aimed at the implementation of data collection have been promoted by major stakeholders. In 2019, the Centers for Disease Control and Prevention (CDC) included fungal infections in the priority list of the Antibiotic Resistance Threats Report [30,31]. Moreover, in 2020, the World Health Organization (WHO) held the first meeting to develop a priority pathogen list for fungal infections of public health importance and to define research and development (R&D) priorities to encourage innovation for new strategies, drugs, and diagnostics. The Global Antimicrobial Resistance Surveillance System (GLASS) of Fungal Antimicrobial Resistance (AMR) developed an early implementation protocol focusing on invasive fungal bloodstream infections (BSIs) caused by Candida spp. Antifungal susceptibility data from blood Candida isolates, especially from patients in high-risk hospital units (e.g., intensive care units; ICU), will be available through the GLASS report [32,33,34].
The present study reviewed publicly accessible surveillance data and studies on resistant Candida spp. isolates in bloodstream infections (BSIs) in 28 European and 4 European Free Trade Association (EFTA) countries (pre-Brexit) to assess the status of surveillance for antifungal resistance at the European level.
2. Materials and Methods
2.1. Search Strategy
A review of publicly accessible national and international (European Centre for Disease Prevention and Control) surveillance systems and peer-reviewed epidemiological surveillance studies was carried out to comprehensively assess resistance monitoring in Candida spp. blood isolates. Target fungi were: C. albicans, C. glabrata, C. parapsilosis, C. tropicalis, C. krusei, and C. auris. Resistance patterns included echinocandins, azoles, and amphotericin B. The review protocol with a detailed description of the methods is available on the COMBACTE-Magnet EPI-Net website [35].
Briefly, a double-step search was adopted to map European networks. First, screening of the available catalogue of national and international surveillance systems for AMR and healthcare-associated infections (HAIs) periodically mapped by the COMBACTE MAGNET EPI-Net project [36] was performed to identify surveillance reports that provided data on resistance in invasive Candida species from the years 2015 onward (last updated in December 2020). An additional gray literature search using Google was run to expand the list of surveillance systems with the following search terms in the local languages of European countries: ‘Antimicrobial resistance’, ‘Antibiotic resistance’, ‘Multidrug resistance’, ‘Antifungal resistance’, ‘Candidemia’, ‘Mycosis’, ‘Fungi’, ‘Surveillance’, ‘Monitoring’, ‘Infection’, ‘Nosocomial’, ‘Healthcare’, ‘Hospital’, ‘Healthcare associated-infection’, and ‘Hospital-associated-infection.’ Systems providing data for public consultation on a periodic basis were included, as well as their most recent surveillance reports used for data extraction, while surveillance systems without publicly available information or with information older than 10 years, single center data, and reports with the same data retrieved from national surveillance systems already included (Supplementary Material Files S1, S2) were excluded.
2.2. Inclusion Criteria and Data Extraction
Epidemiological surveillance studies were identified through a search on PubMed using a combination of the following key terms: ‘antifungal resistance”, ‘multifungal resistance’, ‘surveillance’, ‘epidemiology’, ‘candidemia’, and ‘fungemia’. Only articles published from 1 January 2005 to 31 December 2020, conducted at least in two centers and for a minimum of 12 consecutive months, were included.
Data pertaining to the characteristics of the surveillance program, target population, samples, setting, risk factors, outcome, microbiological methodology, and CLSI or EUCAST reference guidelines as reported in the surveillance reports and studies were extracted. Data were independently collected by two reviewers and disagreements were resolved by discussion or by requesting an evaluation from a third reviewer.
2.3. Ethics
No ethics approval was needed for the study since the research did not involve human or animal subjects and only included data derived from published surveillance reports and epidemiology studies.
3. Results
3.1. International Surveillance Systems
Epidemiological data on resistant Candida species from blood cultures were not available from publicly assessable international surveillance systems in Europe.
3.2. National Surveillance Systems
Twenty-four EU and four EFTA countries had national surveillance systems of antibiotic resistance. The two distinct Scottish and British regional surveillance systems were considered as a unique surveillance system (UK).
Among 52 publicly HAI and AMR national surveillance systems, Belgium, Croatia, France, and Germany provided antifungal-resistance data without stratifying by type of sample (13%). Finland, Greece, Hungary, Ireland, Lithuania, Slovakia, and Switzerland stratified Candida isolates by infection, but without resistance information (21%). Only five countries (16%) (Austria, Italy, Norway, Spain, and United Kingdom) reported candidemia resistance data. The remaining countries did not publish any data regarding Candida infections or resistance (n = 16, 50%) (Figure 1). Flow chart is provided in Supplementary Material File S1 and a detailed description of the surveillance systems in Supplementary Material File S3.
Regarding the species under surveillance among the five countries providing resistance data, C. albicans was steadily monitored; C. parapsilosis and C. glabrata were reported by four countries (Austria, Norway, Spain, and UK); C. tropicalis was reported by only two countries (Austria, Norway); none reported data on C. krusei and C. auris. Fluconazole, caspofungin, and amphotericin B were the antifungals most frequently assessed. Surveillance reports mainly focused on the evolution of resistance patterns to fluconazole, voriconazole, caspofungin, and amphotericin B among C. albicans, C. glabrata, and C. parapsilosis (Table 1).
All the five countries provided yearly stratified data. Three countries (Italy, Spain, and UK) measured the incidence of BSI, although with heterogeneous denominators; furthermore, only the UK distinguished candidemia incidence from the incidence of BSI caused by other pathogens. Data stratification according to clinical criteria and source of infection was rarely reported. Description of antifungal susceptibility testing (AFST), AFST interpretation (to distinguish a susceptible, intermediate, or resistant isolate), minimum inhibitory concentration (MIC) distribution (mg/L), and EUCAST or CLSI guidelines were fragmentary, as well as the number of isolates tested (in some cases less than 30) [11,14,16,17,19,37,38]. Only the Austrian and Norwegian reports provided information on MIC distribution and interpretation criteria of susceptibility results. Molecular typing of resistance, risk factors, and clinical outcomes of candidemia were not specified in any report. Antifungal consumption was rarely assessed. Table 2 summarizes published data in national reports.
3.3. Epidemiological Surveillance Studies
Of the 322 epidemiological surveillance studies retrieved, 133 were selected after title and abstract screening of which 19 (11 publicly funded or observational nationwide and 8 supported by pharmaceutical companies) met the inclusion criteria (flow chart in Supplementary Material File S1). European surveillance studies and description of Candida spp. data are listed in Supplementary Material File S4.
Regarding principal investigator driven nationwide observational studies, C. albicans and C. glabrata were the most monitored species [6,11,14,15,16,17,19,37,38,39,40], followed by C. parapsilosis and C. tropicalis [6,11,14,15,16,17,19,37,39,40]. Susceptibilities towards fluconazole, voriconazole, caspofungin, and amphotericin B were the most tracked [6,11,14,15,16,17,19,37,38,39,40]. Of note, C. auris was not detected in any study. Population characteristics, setting, numbers of centers and study design were reported by all studies. Results were presented as aggregate data from different years. Incidence was reported by the majority of the studies (n = 9, 81.8%), although using various denominators [6,11,14,15,16,17,19,39,40]. Studies adopted composite criteria to define candidemia episodes, from the first blood isolate criteria within 30 days [16,17,39] to the classification of different timeframes to determine the occurrence of a distinct candidemia episode [6,11,14,15,19,40]. Antifungal use was described only by four (36.3%) studies [6,11,14,15].
Clinical outcomes (30 day mortality) were provided only by one study from Iceland and one study from Italy [11,40]; risk factors for candidemia were described by two Italian studies and one British study [38,39,40].
All studies provided data related to species identification, laboratory methods, and reference guidelines. The number of NAC isolates diverged tested between studies, being reported in some cases fewer than 30/per year [11,14,16,17,19,37,38]. Six studies reported the MIC distribution (mg/L) and five (45.5%) provided the MIC range of fluconazole intrinsic-resistance in C. krusei [6,14,15,16,17,19]. Only studies from Denmark had additional information on molecular resistance typing [6,14,15]. Table 3 summarizes Candida species and antifungal agents targeted by epidemiological surveillance studies, compared with those supported by pharmaceutical companies. Table 4 describes the available surveillance data from epidemiological and observational nationwide studies. Combinations of monitored Candida spp. and antifungals are detailed in Supplementary Material File S4.
4. Discussion
Our study shows that, at the European level, few countries integrate antifungal resistance data for candidemia in their surveillance systems. Only Norway, Austria, and United Kingdom dedicated a section for antifungal resistance within their surveillance network for invasive infections, while Italy and Spain included this under the surveillance of HAI in ICU. From this review, the heterogeneity in species surveyed clearly emerged, as well as case definitions, antifungals monitored, and the microbiological methodology adopted for data collection and reporting.
Considering that each species has unique virulence, potential, and susceptibility profiles, precise and regular reporting of Candida species distribution would aid in better understanding the different epidemiological patterns between C. albicans and NAC specific-species. Accurate and rapid identification down to the species level is of crucial importance for the choice of appropriate treatment and ultimately for stewardship and infection prevention measures [41,42]. C. albicans is evenly monitored by both surveillance systems and epidemiological studies, along with C. parapsilosis, and C. glabrata. C. krusei mapping was covered only by epidemiological studies. Fluconazole, voriconazole, caspofungin, and amphotericin B in C. albicans and C. glabrata were the species–drug combination most frequently assessed in national surveillance reports and studies. Of note, C. auris was not included in any surveillance system across Europe.
We noticed a remarkable variability in case definitions among surveillance systems. Most studies considered only the first isolate of Candida spp. per patient, but this choice could potentially lead to underestimation of candidemia episodes and consequently the incidence of antifungal resistance. As reported by Arendrup et al. [6], the first blood isolate of Candida spp. is frequently obtained when exposure to antifungals is lower, particularly in case of treatment with echinocandins. From an epidemiological point of view, the first isolate is a good strategy, since the collection of multiple isolates per patient could lead to selection bias. However, this methodology might avoid the selection of strains that develop resistance under treatment. The mucocutaneous selection of antifungal-resistant Candida spp. has already been demonstrated in patients treated with systemic antifungals for IFI [43]. At present, the best way to select a second Candida spp. isolate in the same patient has not been defined, and there is still extreme variability between studies. CLSI guidelines have specified that to produce an accurate statistical estimate of cumulative bacteria susceptibility rates, the reporting of a cumulative antibiogram with ≥30 isolates tested is recommended [44]. Currently, no indications have been established for fungi susceptibility rates and the number of isolates tested is frequently <30 in both epidemiological studies and surveillance networks. The validity and representativeness of the data can be hindered by the inclusion of a low number of samples, thereby delaying the identification of relevant target for antifungal stewardship.
Differences in methodology and interpretation criteria are influenced by the constant evolution in the field of resistance identification and consequent changes in the breakpoints defined by both CLSI and EUCAST guidelines. In addition to broth microdilution methods, other standardized tests (i.e., colorimetric assays, agar-based diffusion assays and automated assays) are currently available for clinical diagnosis [34,45]. Studies in the early 2000s reported that broth microdilution was performed in accordance with EUCAST guidelines, but the interpretation was later carried out referring to CLSI criteria [46,47,48]. This choice is necessarily called into question to avoid susceptibility misclassification since it is recognized that MICs need to be interpreted by adopting the breakpoints combined with the appropriate method [34,49]. Only the Austrian and Norwegian reports clarified the microbiological test (broth microdilution and E-test, respectively) and interpretative criteria adopted in every microbiology laboratory participating in surveillance. As for bacteria, standardization of both the methodology and interpretation of in vitro data would facilitate inter-laboratory comparisons and agreement [45].
The presentation of Candida susceptibility patterns is thus an suitable issue that would benefit from further implementations. The GLASS protocol recommends specifying at least the AFST method used, the AFST interpretations, and MICs/zone diameters [34]. However, the reports included MIC with or without prevalence of resistance or expressed resistance as resistant/intermediate/ or susceptible strain except for the Norwegian report (S3); the Spanish, Italian studies [37,40] provided additional data such as susceptible dose-dependent (SDD)/isolates and SDD/percentage values.
This study has some limitations. We focused on European public national surveillance systems and studies, excluding outbreaks, surveillance systems, and studies that provided antifungal resistance in mixed samples and international private surveillance networks. The SENTRY and ARTEMIS-DISK, which monitors the global and European incidence of fungal infection and susceptibility, provided data from blood and pooled samples, respectively, at the continent level. International societies for human and animal mycology (ECMM, ISHAM, FUNGISCOPE) do not provide publicly available reports and consequently could not be included [50,51,52,53,54].
The consequence of the shortage of available data and heterogeneity and the difficultly in extrapolating information about MDR and XDR Candida spp. infections makes it problematic to promptly identify MDR strains and their distribution. It would be important to implement, within existing surveillance systems for antibiotic resistance, a module reporting figures for resistance to antifungal drugs in invasive infections. Our results also highlight the paucity of information regarding antifungal consumption, which represents another interesting cause for reflection. There is emerging literature regarding the correlation between widespread antifungal utilization, which occurs especially in vulnerable patients, and the development of resistance [3,4,55,56]. Therefore, data on consumption should be ideally tracked in parallel with antifungal resistance by active surveillance to promote better understanding of the underlying epidemiology of Candida spp. infections and resistance risk factors.
In 2020, the first meeting of the WHO expert Group on Identifying Priority Fungal Pathogens was held to finalize the development of a priority list of fungal pathogens of public health importance and to define related R&D priorities. The expansion of R&D coordination from bacterial infections to fungal infections underlines the dramatic increase in antifungal resistance, its associated burden, and the poor pipeline. To facilitate comparisons at a global level, standardization of surveillance system reports, including disease definition and susceptibility patterns, reporting should be prioritized. These efforts would foster the interconnection between surveillance and AFS. Improving surveillance data in the field of fungal disease is of critical importance for the appropriate definition of burden, assessment of R&D priorities, and antifungal stewardship recommendations.
Conceptualization, E.T. and N.B.R.; N.B.R. and L.G. and M.C.; formal analysis, A.C., E.C. and L.G.; data curation, A.C., L.G. and M.C.; writing—original draft preparation, A.C. and L.G.; writing—review and editing, M.C., L.G., M.D.P. and E.C.; supervision, E.C., M.C., M.D.P. and E.T. All authors have read and agreed to the published version of the manuscript.
The research project receives support from the Innovative Medicines Initiative Joint Undertaking under grant agreement numbers 115737 (COMBACTE-MAGNET), resources of which are composed of financial contributions from the European Union Seventh Framework Programme (FP7/2007–2013) and EFPIA companies in kind contribution.
Not applicable.
Not applicable.
Data are available on the EPI-Net website:
COMBACTE MAGNET EPI-Net Network: Jesús Rodríguez Baño, Andreas Voss, Nisar Malek, Stephan Harbarth, Mike Sharland, Fabiana Arieti, Maela Tebon, Carla Mena Benitez, Beryl Primrose Gladstone.
The authors declare no conflict of interest.
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Enlarge this image.Figure 1. Countries with availability of surveillance data of resistance in candidemia; description of systems is provided in Supplementary Material File S3. Green: countries providing Candida spp. resistance data in bloodstream infections; yellow: countries providing Candida spp. resistance data from mixed samples (all isolates); light blue: countries provided Candida isolates stratified by infection type without resistance; red: countries not providing any data on resistance of Candida spp.
Antifungals and species monitored in national surveillance systems with resistance data. For Candida auris and Candida krusei no data were available.
| ANF Class | ANF Drug | C. albicans | C. glabrata | C. parapsilosis | C. tropicalis |
|---|---|---|---|---|---|
| Azole 1 | Fluconazole | 4 (AT; NO; ES; UK) | 4 (AT; NO; ES *; UK) | 4 (AT; NO; ES *;UK) | 2 (AT; NO) |
| Itraconazole | 2 (AT; ES) | 2 (AT, ES *) | 2 (AT; ES *) | 1 (AT) | |
| Posaconazole | 1 (AT) | 2 (AT; ES *) | 1 (AT) | 1 (AT) | |
| Voriconazole | 4 (AT; NO; ES; UK) | 3 (AT; ES *; UK) | 4 (AT; NO; ES *;UK) | 2 (AT; NO) | |
| Echinocandin | Caspofungin | 3 (AT; ES; UK) | 3 (AT; ES*;UK) | 3 (AT; ES*;UK) | 1 (AT) |
| Anidulafungin | 2 (AT; NO) | 2 (AT; NO) | 2 (AT; NO) | 2 (AT; NO) | |
| Micafungin | 2 (AT; NO) | 2 (AT; NO) | 2 (AT; NO) | 1 (AT) | |
| Polyene | Amphotericin B | 4 (AT; NO; ES; UK) | 4 (AT; NO; ES *;UK) | 4 (AT; NO; ES *;UK) | 2 (AT; NO) |
AT: Austria; ES: Spain; IR: intrinsic resistance; NO: Norway; UK: United Kingdom. 1 Italy did not specify which azoles were tested, and thus was not included in the table. * Only 2019 data are reported.
National data from five European countries. Molecular typing of resistance was not reported in any of the national reports.
| Characteristic Data Reporting in National Reports | Austria | Italy | Norway | Spain | UK | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| CA | NAC | CA | NAC | CA | NAC | CA | NAC | CA | NAC | ||
| Frequency of reporting (yearly) | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | -- | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | -- | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | |
| Data stratification (age, sex, sub-setting) | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | -- | -- | -- | -- | -- | -- | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | |
| Source of infection | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | -- | -- | -- | -- | -- | -- | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | |
| No. patients | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | -- | -- | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | -- | -- | -- | -- | |
| BSI incidence | Per 100 pt | -- | -- | -- | -- | -- | -- | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | -- | -- |
| Per 100 pt/7 days OR |
-- | -- | [Image omitted. Please see PDF.] | -- | -- | -- | -- | -- | -- | -- | |
| Candidemia incidence | Per 100,000 population | -- | -- | -- | -- | -- | -- | - | - | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] |
| Total Candida isolates | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | - | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | - | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | |
| Specific-species identification CA /NAC | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | - | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | |
| Antifungal consumption | - | - | - | - | - | - | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | |
| Laboratory method | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | NS | - | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | NS | - | NS | NS | |
| S/SDD/R or non-susceptible | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | NS | - | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | |
| MIC distribution | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | NS | - | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | NS | - | NS | NS | |
| Reference guidelines | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | NS | - | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | NS | - | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | |
BSI: bloodstream infections; CA: C. albicans; NAC: non-albicans Candida; IFI: invasive fungal infections; MIC: minimum inhibitory concentration; NS: not specified; Pt: patients; R: resistant; S: susceptible; SDD: susceptible dose-dependent; dashed line: not available; [Image omitted. Please see PDF.]: data available.
Drugs and species monitored in epidemiological studies (column A) and drugs and species monitored in epidemiological studies supported by pharmaceutical companies (column B). Numbers refer to the number of countries. For Candida auris no data were available.
| ANF Class | ANF Drug | C. albicans | C. glabrata/complex | C. parapsilosis/complex | C. tropicalis | C. krusei | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| A | B | A | B | A | B | A | B | A | B | ||
| Azole | Fluconazole | 6 (DK;IS;IT;ES;SE; UK) | 6 (BE, IT, PT, ES, CH, UK) | 6 (DK;IS;IT;ES;SE; UK) | 6 (BE, IT, PT, ES, CH, UK) | 5 (DK;IS;IT;ES;SE;) | 6 (BE, IT, PT, ES, CH, UK) | 5 (DK;IS;IT;ES;SE) | 5 (BE, IT, PT, ES, CH) | IR | |
| Itraconazole | 4 (DK;IS;IT;ES) | 2 (ES, UK) | 3 (DK;IT;ES) | 2 (ES, UK) | 3 (DK;IT; ES) | 3 (BE, ES, UK) | 3 (DK;IT;ES) | 2 (BE, ES) | 3 (DK; IT;ES) | 2 (BE, ES) | |
| Posaconazole | 2 (DK; IT) | 3 (BE, PT, ES) | 2 (DK; IT) | 1 (ES) | 2 (DK; IT) | 3 (BE, PT, ES) | 2 (DK; IT) | 3 (BE, PT, ES) | 2 (DK; IT) | 1 (ES) | |
| Voriconazole | 5 (DK;IT;ES;SE; UK) | 5 (BE, PT, ES, CH, UK) | 5 (DK;IT;ES;SE; UK) | 4 (BE, ES, CH, UK) | 5 (DK;IT;ES;SE; UK) | 5 (BE, PT, ES, CH, UK) | 4 (DK;IT;ES;SE) | 4 (BE, PT, ES, CH) | 4 (DK;IT;ES;SE) | 3 (BE, ES, CH) | |
| Echinocandin | Caspofungin | 6 (DK;IS;IT;ES;SE; UK) | 3 (IT, ES, CH) | 6 (DK;IS;IT;ES;SE; UK) | 3 (IT, ES, CH) | 5 (DK;IS;IT;ES;SE) | 3 (IT, ES, CH) | 5 (DK;IS;IT;ES;SE) | 3 (IT, ES, CH) | 4 (DK; IT; ES; SE) | 3 (IT, ES, CH) |
| Anidulafungin | 3 (DK; It; SE) | 4 (BE, IT; PT, ES) | 3 (DK; IT; SE) | 4 (BE, IT; PT, ES) | 3 (DK; IT SE) | 3 (BE, PT, ES) | 3 (DK; IT; SE) | 4 (BE, IT; PT, ES) | 3 (DK; IT; SE) | 3 (IT, PT, ES) | |
| Micafungin | 2 (DK; IT) | 4 (BE, IT; PT, ES) | 2 (DK; IT) | 4 (BE, IT; PT, ES) | 1 IT; | 4 (BE, IT; PT, ES) | 1 IT; | 2(IT, ES) | 1 IT; | 2 (IT, ES) | |
| Polyene | Amphotericin B | 6 (DK;IS;IT; ES;SE; UK) | 3 (BE, PT, ES) | 6 (DK;IS;IT;ES;SE; UK) | 3 (BE, PT, ES) | 5 (DK;IS;IT;ES;SE) | 3 (BE, PT, ES) | 5 (DK;IS;IT;ES;SE) | 3 (BE, PT, ES) | 4 (DK;IT;ES;SE) | 3 (BE, PT, ES) |
BE: Belgium; CH: Switzerland; DK: Denmark; ES: Spain; IR: intrinsic resistance; IS: Iceland; IT: Italy; PT: Portugal; UK: SE: Sweden; UK: United Kingdom.
Data from 11 epidemiological and observational nationwide studies. CA: C. albicans; NAC: non-albicans Candida; NS: not specified; R: resistant; SDD: susceptible dose-dependent; dash line: not available. Note: in the British study stratification by clinical criteria and incidence value were provided only for 2011 data.
| Variable | Denmark |
Iceland |
Italy |
Spain |
Sweden |
UK |
|---|---|---|---|---|---|---|
| Study design | Prospective | NS | Prospective | Prospective | Prospective | Retrospective |
| Retrospective | Retrospective | Retrospective | ||||
| Years available | 2004–2009 |
2000–2011 | 2004–2005 |
2005–2006 | 2005–2006 |
2007–2011 |
| Data presentation | Pooled | Pooled | Pooled | Pooled | Pooled | Pooled |
| Data stratification |
[Image omitted. Please see PDF.] | - | [Image omitted. Please see PDF.] | - | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] |
| Incidence ▲ | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | - | [Image omitted. Please see PDF.] | - |
| IFI incidence denominator | Per 100,000 inhabitants | Per 100,000 inhabitants | Per 1000 admission OR |
- | Per 100,000 inhabitants | - |
| Antifungal consumption | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | - | - | - | |
| Episodes definition | 🞼 | 🞼 | [Image omitted. Please see PDF.] | - | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] |
| 🞼 | ||||||
| Number of patients | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] |
| Total Candida isolates | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] |
| Species identification CA/NAC | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] |
| Molecular typing resistance | [Image omitted. Please see PDF.] | - | - | - | - | - |
| Laboratory method | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] |
| S/SDD/R or Non susceptible | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | NS | [Image omitted. Please see PDF.] |
| MIC distribution | [Image omitted. Please see PDF.] | NS | [Image omitted. Please see PDF.] | NS | [Image omitted. Please see PDF.] | NS |
| Reference guidelines | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] | [Image omitted. Please see PDF.] |
▲ Incidence of candidemia OR other fungal infections (Cryptococcus spp., Fusarium spp., Geotrichum spp., Rhodotorula spp., Saccharomyces spp. species). [Image omitted. Please see PDF.] First blood isolate criteria within 30 days; [Image omitted. Please see PDF.]: data available. 🞼 Onset of new candidemia episode defined as occurring after 30 days OR isolation of a different species after 10 or 21 days.
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References
1. Cuervo, G.; Garcia-Vidal, C.; Puig-Asensio, M.; Merino, P.; Vena, A.; Martin-Pena, A.; Montejo, J.M.; Ruiz, A.; Lazaro-Perona, F.; Fortun, J. et al. Usefulness of guideline recommendations for prognosis in patients with candidemia. Med. Mycol.; 2019; 57, pp. 659-667. [DOI: https://dx.doi.org/10.1093/mmy/myy118] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/30418567]
2. Koehler, P.; Stecher, M.; Cornely, O.A.; Koehler, D.; Vehreschild, M.; Bohlius, J.; Wisplinghoff, H.; Vehreschild, J.J. Morbidity and mortality of candidaemia in Europe: An epidemiologic meta-analysis. Clin. Microbiol. Infect.; 2019; 25, pp. 1200-1212. [DOI: https://dx.doi.org/10.1016/j.cmi.2019.04.024] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/31039444]
3. Fournier, P.; Schwebel, C.; Maubon, D.; Vesin, A.; Lebeau, B.; Foroni, L.; Hamidfar-Roy, R.; Cornet, M.; Timsit, J.F.; Pelloux, H. Antifungal use influences Candida species distribution and susceptibility in the intensive care unit. J. Antimicrob. Chemother.; 2011; 66, pp. 2880-2886. [DOI: https://dx.doi.org/10.1093/jac/dkr394] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/21980066]
4. Shah, D.N.; Yau, R.; Lasco, T.M.; Weston, J.; Salazar, M.; Palmer, H.R.; Garey, K.W. Impact of prior inappropriate fluconazole dosing on isolation of fluconazole-nonsusceptible Candida species in hospitalized patients with candidemia. Antimicrob. Agents Chemother.; 2012; 56, pp. 3239-3243. [DOI: https://dx.doi.org/10.1128/AAC.00019-12] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/22411611]
5. Schwartz, I.S.; Patterson, T.F. The Emerging Threat of Antifungal Resistance in Transplant Infectious Diseases. Curr. Infect. Dis. Rep.; 2018; 20, 2. [DOI: https://dx.doi.org/10.1007/s11908-018-0608-y] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29404711]
6. Arendrup, M.C.; Dzajic, E.; Jensen, R.H.; Johansen, H.K.; Kjaeldgaard, P.; Knudsen, J.D.; Kristensen, L.; Leitz, C.; Lemming, L.E.; Nielsen, L. et al. Epidemiological changes with potential implication for antifungal prescription recommendations for fungaemia: Data from a nationwide fungaemia surveillance programme. Clin. Microbiol. Infect.; 2013; 19, pp. E343-E353. [DOI: https://dx.doi.org/10.1111/1469-0691.12212] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/23607326]
7. Bongomin, F.; Gago, S.; Oladele, R.O.; Denning, D.W. Global and Multi-National Prevalence of Fungal Diseases-Estimate Precision. J. Fungi.; 2017; 3, 57. [DOI: https://dx.doi.org/10.3390/jof3040057]
8. Guinea, J. Global trends in the distribution of Candida species causing candidemia. Clin. Microbiol. Infect.; 2014; 20, (Suppl. 6), pp. 5-10. [DOI: https://dx.doi.org/10.1111/1469-0691.12539]
9. Tortorano, A.M.; Kibbler, C.; Peman, J.; Bernhardt, H.; Klingspor, L.; Grillot, R. Candidaemia in Europe: Epidemiology and resistance. Int. J. Antimicrob. Agents; 2006; 27, pp. 359-366. [DOI: https://dx.doi.org/10.1016/j.ijantimicag.2006.01.002]
10. Trouve, C.; Blot, S.; Hayette, M.P.; Jonckheere, S.; Patteet, S.; Rodriguez-Villalobos, H.; Symoens, F.; Van Wijngaerden, E.; Lagrou, K. Epidemiology and reporting of candidaemia in Belgium: A multi-centre study. Eur. J. Clin. Microbiol. Infect. Dis.; 2017; 36, pp. 649-655. [DOI: https://dx.doi.org/10.1007/s10096-016-2841-3]
11. Asmundsdottir, L.R.; Erlendsdottir, H.; Gottfredsson, M. Nationwide study of candidemia, antifungal use, and antifungal drug resistance in Iceland, 2000 to 2011. J. Clin. Microbiol.; 2013; 51, pp. 841-848. [DOI: https://dx.doi.org/10.1128/JCM.02566-12] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/23269738]
12. Peman, J.; Canton, E.; Gobernado, M. The Spanish ECMM Working Group on Candidaemia. Epidemiology and antifungal susceptibility of Candida species isolated from blood: Results of a 2-year multicentre study in Spain. Eur. J. Clin. Microbiol. Infect. Dis.; 2005; 24, pp. 23-30. [DOI: https://dx.doi.org/10.1007/s10096-004-1267-5] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/15619060]
13. Kritikos, A.; Neofytos, D.; Khanna, N.; Schreiber, P.W.; Boggian, K.; Bille, J.; Schrenzel, J.; Muhlethaler, K.; Zbinden, R.; Bruderer, T. et al. Accuracy of Sensititre YeastOne echinocandins epidemiological cut-off values for identification of FKS mutant Candida albicans and Candida glabrata: A ten year national survey of the Fungal Infection Network of Switzerland (FUNGINOS). Clin. Microbiol. Infect.; 2018; 24, pp. 1214.e1-1214.e4. [DOI: https://dx.doi.org/10.1016/j.cmi.2018.05.012] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29909005]
14. Arendrup, M.C.; Bruun, B.; Christensen, J.J.; Fuursted, K.; Johansen, H.K.; Kjaeldgaard, P.; Knudsen, J.D.; Kristensen, L.; Moller, J.; Nielsen, L. et al. National surveillance of fungemia in Denmark (2004 to 2009). J. Clin. Microbiol.; 2011; 49, pp. 325-334. [DOI: https://dx.doi.org/10.1128/JCM.01811-10] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/20980569]
15. Astvad, K.M.T.; Johansen, H.K.; Roder, B.L.; Rosenvinge, F.S.; Knudsen, J.D.; Lemming, L.; Schonheyder, H.C.; Hare, R.K.; Kristensen, L.; Nielsen, L. et al. Update from a 12-Year Nationwide Fungemia Surveillance: Increasing Intrinsic and Acquired Resistance Causes Concern. J. Clin. Microbiol.; 2018; 56, e01564-17. [DOI: https://dx.doi.org/10.1128/JCM.01564-17] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29212705]
16. Ericsson, J.; Chryssanthou, E.; Klingspor, L.; Johansson, A.G.; Ljungman, P.; Svensson, E.; Sjolin, J. Candidaemia in Sweden: A nationwide prospective observational survey. Clin. Microbiol. Infect.; 2013; 19, pp. E218-E221. [DOI: https://dx.doi.org/10.1111/1469-0691.12111] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/23331511]
17. Klingspor, L.; Ullberg, M.; Rydberg, J.; Kondori, N.; Serrander, L.; Swanberg, J.; Nilsson, K.; Jendle Bengten, C.; Johansson, M.; Granlund, M. et al. Epidemiology of fungaemia in Sweden: A nationwide retrospective observational survey. Mycoses; 2018; 61, pp. 777-785. [DOI: https://dx.doi.org/10.1111/myc.12816]
18. Peman, J.; Canton, E.; Quindos, G.; Eraso, E.; Alcoba, J.; Guinea, J.; Merino, P.; Ruiz-Perez-de-Pipaon, M.T.; Perez-del-Molino, L.; Linares-Sicilia, M.J. et al. Epidemiology, species distribution and in vitro antifungal susceptibility of fungaemia in a Spanish multicentre prospective survey. J. Antimicrob. Chemother.; 2012; 67, pp. 1181-1187. [DOI: https://dx.doi.org/10.1093/jac/dks019]
19. Prigitano, A.; Cavanna, C.; Passera, M.; Ossi, C.; Sala, E.; Lombardi, G.; Grancini, A.; De Luca, C.; Bramati, S.; Gelmi, M. et al. CAND-LO 2014-15 study: Changing epidemiology of candidemia in Lombardy (Italy). Infection; 2016; 44, pp. 765-780. [DOI: https://dx.doi.org/10.1007/s15010-016-0951-6]
20. Swinne, D.; Nolard, N.; VAN Rooij, P.; Detandt, M. Bloodstream yeast infections: A 15-month survey. Epidemiol. Infect.; 2009; 137, pp. 1037-1040. [DOI: https://dx.doi.org/10.1017/S0950268808001763]
21. Tortorano, A.M.; Prigitano, A.; Lazzarini, C.; Passera, M.; Deiana, M.L.; Cavinato, S.; De Luca, C.; Grancini, A.; Lo Cascio, G.; Ossi, C. et al. A 1-year prospective survey of candidemia in Italy and changing epidemiology over one decade. Infection; 2013; 41, pp. 655-662. [DOI: https://dx.doi.org/10.1007/s15010-013-0455-6] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/23559357]
22. Arendrup, M.C.; Patterson, T.F. Multidrug-Resistant Candida: Epidemiology, Molecular Mechanisms, and Treatment. J. Infect. Dis.; 2017; 216, pp. S445-S451. [DOI: https://dx.doi.org/10.1093/infdis/jix131] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/28911043]
23. Healey, K.R.; Perlin, D.S. Fungal Resistance to Echinocandins and the MDR Phenomenon in Candida glabrata. J. Fungi; 2018; 4, 105. [DOI: https://dx.doi.org/10.3390/jof4030105]
24. Alexander, B.D.; Johnson, M.D.; Pfeiffer, C.D.; Jimenez-Ortigosa, C.; Catania, J.; Booker, R.; Castanheira, M.; Messer, S.A.; Perlin, D.S.; Pfaller, M.A. Increasing echinocandin resistance in Candida glabrata: Clinical failure correlates with presence of FKS mutations and elevated minimum inhibitory concentrations. Clin. Infect. Dis.; 2013; 56, pp. 1724-1732. [DOI: https://dx.doi.org/10.1093/cid/cit136] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/23487382]
25. Faria-Ramos, I.; Neves-Maia, J.; Ricardo, E.; Santos-Antunes, J.; Silva, A.T.; Costa-de-Oliveira, S.; Canton, E.; Rodrigues, A.G.; Pina-Vaz, C. Species distribution and in vitro antifungal susceptibility profiles of yeast isolates from invasive infections during a Portuguese multicenter survey. Eur. J. Clin. Microbiol. Infect. Dis.; 2014; 33, pp. 2241-2247. [DOI: https://dx.doi.org/10.1007/s10096-014-2194-8] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/25012821]
26. Orasch, C.; Marchetti, O.; Garbino, J.; Schrenzel, J.; Zimmerli, S.; Muhlethaler, K.; Pfyffer, G.; Ruef, C.; Fehr, J.; Zbinden, R. et al. Candida species distribution and antifungal susceptibility testing according to European Committee on Antimicrobial Susceptibility Testing and new vs. old Clinical and Laboratory Standards Institute clinical breakpoints: A 6-year prospective candidaemia survey from the fungal infection network of Switzerland. Clin. Microbiol. Infect.; 2014; 20, pp. 698-705. [DOI: https://dx.doi.org/10.1111/1469-0691.12440]
27. Satoh, K.; Makimura, K.; Hasumi, Y.; Nishiyama, Y.; Uchida, K.; Yamaguchi, H. Candida auris sp. nov., a novel ascomycetous yeast isolated from the external ear canal of an inpatient in a Japanese hospital. Microbiol. Immunol.; 2009; 53, pp. 41-44. [DOI: https://dx.doi.org/10.1111/j.1348-0421.2008.00083.x]
28. Lockhart, S.R.; Etienne, K.A.; Vallabhaneni, S.; Farooqi, J.; Chowdhary, A.; Govender, N.P.; Colombo, A.L.; Calvo, B.; Cuomo, C.A.; Desjardins, C.A. et al. Simultaneous Emergence of Multidrug-Resistant Candida auris on 3 Continents Confirmed by Whole-Genome Sequencing and Epidemiological Analyses. Clin. Infect. Dis.; 2017; 64, pp. 134-140. [DOI: https://dx.doi.org/10.1093/cid/ciw691]
29. Sarma, S.; Upadhyay, S. Current perspective on emergence, diagnosis and drug resistance in Candida auris. Infect. Drug Resist.; 2017; 10, pp. 155-165. [DOI: https://dx.doi.org/10.2147/IDR.S116229]
30. Centers for Disease Control and Prevention. Antibiotic Resistance Threats in the United States, 2019; U.S. Department of Health and Human Services, CDC: Atlanta, GA, USA, 2019; Available online: https://www.cdc.gov/drugresistance/pdf/threats-report/2019-ar-threats-report-508.pdf (accessed on 11 December 2021).
31. Centers for Disease Control and Prevention. Available online: https://www.cdc.gov/drugresistance/about.html (accessed on 11 December 2021).
32. World Health Organization. First Meeting of the WHO Antifungal Expert Group on Identifying Priority Fungal Pathogens. Available online: https://www.who.int/publications/i/item/9789240006355 (accessed on 11 December 2021).
33. World Health Organization. In Proceedings of the Meeting on Global Surveillance of Antimicrobial Resistance in Invasive Candida Infections, Madrid, Spain, 24 April 2018. Available online: https://www.who.int/glass/events/AMR-in-invasive-candida-infections-meeting-report.pdf (accessed on 11 December 2021).
34. World Health Organization. GLASS Early Implementation Protocol for Inclusion of Candida spp. Available online: https://www.who.int/publications/i/item/WHO-WSI-AMR-2019.4 (accessed on 11 December 2021).
35. EPI-Net Epidemiology Network. Available online: https://epi-net.eu/ (accessed on 11 December 2021).
36. Nunez-Nunez, M.; Navarro, M.D.; Palomo, V.; Rajendran, N.B.; Del Toro, M.D.; Voss, A.; Sharland, M.; Sifakis, F.; Tacconelli, E.; Rodriguez-Bano, J. et al. The methodology of surveillance for antimicrobial resistance and healthcare-associated infections in Europe (SUSPIRE): A systematic review of publicly available information. Clin. Microbiol. Infect.; 2018; 24, pp. 105-109. [DOI: https://dx.doi.org/10.1016/j.cmi.2017.07.014]
37. Florez, C.; Martin-Mazuelos, E.; Ruiz, M.; Cisneros, J.M.; Herrero, M.; Garcia, M.V.; Marquez, M.; Porras, J.; Martin, P.; Gamero, C. et al. In vitro susceptibilities of bloodstream isolates of Candida spp.: Results from a multicenter active surveillance program in Andalusia. Enferm. Infecc. Y Microbiol. Clin.; 2009; 27, pp. 518-522. [DOI: https://dx.doi.org/10.1016/j.eimc.2008.09.013] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/19477048]
38. Spiers, R.; Smyth, B.; Lamagni, T.; Rooney, P.; Dorgan, E.; Wyatt, T.; Geoghegan, L.; Patterson, L. The epidemiology and management of candidemia in Northern Ireland during 2002–2011, including a 12-month enhanced case review. Med. Mycol.; 2019; 57, pp. 23-29. [DOI: https://dx.doi.org/10.1093/mmy/myx165] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29390156]
39. Bassetti, M.; Trecarichi, E.M.; Righi, E.; Sanguinetti, M.; Bisio, F.; Posteraro, B.; Soro, O.; Cauda, R.; Viscoli, C.; Tumbarello, M. Incidence, risk factors, and predictors of outcome of candidemia. Survey in 2 Italian university hospitals. Diagn. Microbiol. Infect. Dis.; 2007; 58, pp. 325-331. [DOI: https://dx.doi.org/10.1016/j.diagmicrobio.2007.01.005] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/17350205]
40. Luzzati, R.; Merelli, M.; Ansaldi, F.; Rosin, C.; Azzini, A.; Cavinato, S.; Brugnaro, P.; Vedovelli, C.; Cattelan, A.; Marina, B. et al. Nosocomial candidemia in patients admitted to medicine wards compared to other wards: A multicentre study. Infection; 2016; 44, pp. 747-755. [DOI: https://dx.doi.org/10.1007/s15010-016-0924-9] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/27401690]
41. Tacconelli, E.; Carrara, E.; Savoldi, A.; Harbarth, S.; Mendelson, M.; Monnet, D.L.; Pulcini, C.; Kahlmeter, G.; Kluytmans, J.; Carmeli, Y. et al. Discovery, research, and development of new antibiotics: The WHO priority list of antibiotic-resistant bacteria and tuberculosis. Lancet Infect. Dis.; 2018; 18, pp. 318-327. [DOI: https://dx.doi.org/10.1016/S1473-3099(17)30753-3]
42. Tacconelli, E.; Sifakis, F.; Harbarth, S.; Schrijver, R.; van Mourik, M.; Voss, A.; Sharland, M.; Rajendran, N.B.; Rodriguez-Bano, J.; Group, E.P.-N.C.-M. Surveillance for control of antimicrobial resistance. Lancet Infect. Dis.; 2018; 18, pp. e99-e106. [DOI: https://dx.doi.org/10.1016/S1473-3099(17)30485-1]
43. Jensen, R.H.; Johansen, H.K.; Soes, L.M.; Lemming, L.E.; Rosenvinge, F.S.; Nielsen, L.; Olesen, B.; Kristensen, L.; Dzajic, E.; Astvad, K.M. et al. Posttreatment Antifungal Resistance among Colonizing Candida Isolates in Candidemia Patients: Results from a Systematic Multicenter Study. Antimicrob. Agents Chemother.; 2015; 60, pp. 1500-1508. [DOI: https://dx.doi.org/10.1128/AAC.01763-15] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/26711776]
44. CLSI. Analysis and Presentation of Cumulative Antimicrobial Susceptibility Test Data; 4th ed. Clinical and Laboratory Standards Institute: Wayne, PA, USA, 2014; M39-A4
45. Berkow, E.L.; Lockhart, S.R.; Ostrosky-Zeichner, L. Antifungal Susceptibility Testing: Current Approaches. Clin. Microbiol. Rev.; 2020; 33, e00069-19. [DOI: https://dx.doi.org/10.1128/CMR.00069-19]
46. Almirante, B.; Rodriguez, D.; Cuenca-Estrella, M.; Almela, M.; Sanchez, F.; Ayats, J.; Alonso-Tarres, C.; Rodriguez-Tudela, J.L.; Pahissa, A. Epidemiology, risk factors, and prognosis of Candida parapsilosis bloodstream infections: Case-control population-based surveillance study of patients in Barcelona, Spain, from 2002 to 2003. J. Clin. Microbiol.; 2006; 44, pp. 1681-1685. [DOI: https://dx.doi.org/10.1128/JCM.44.5.1681-1685.2006]
47. Almirante, B.; Rodriguez, D.; Park, B.J.; Cuenca-Estrella, M.; Planes, A.M.; Almela, M.; Mensa, J.; Sanchez, F.; Ayats, J.; Gimenez, M. et al. Epidemiology and predictors of mortality in cases of Candida bloodstream infection: Results from population-based surveillance, barcelona, Spain, from 2002 to 2003. J. Clin. Microbiol.; 2005; 43, pp. 1829-1835. [DOI: https://dx.doi.org/10.1128/JCM.43.4.1829-1835.2005]
48. Odds, F.C.; Hanson, M.F.; Davidson, A.D.; Jacobsen, M.D.; Wright, P.; Whyte, J.A.; Gow, N.A.R.; Jones, B.L. One year prospective survey of Candida bloodstream infections in Scotland. J. Med. Microbiol.; 2007; 56, pp. 1066-1075. [DOI: https://dx.doi.org/10.1099/jmm.0.47239-0] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/17644714]
49. World Health Organization. Global Antimicrobial Resistance and Use Surveillance System (GLASS) Report: 2021. Available online: https://www.who.int/publications/i/item/9789240027336 (accessed on 11 December 2021).
50. International Society for Human and Animal Mycology. Available online: https://www.isham.org/ (accessed on 11 December 2021).
51. Fungiscope. Global Emerging Fungal Infection Registry. Available online: http://www.fungiscope.net/ (accessed on 11 December 2021).
52. Koehler, P.; Arendrup, M.C.; Arikan-Akdagli, S.; Bassetti, M.; Bretagne, S.; Klingspor, L.; Lagrou, K.; Meis, J.F.; Rautemaa-Richardson, R.; Schelenz, S. et al. ECMM CandiReg-A ready to use platform for outbreaks and epidemiological studies. Mycoses; 2019; 62, pp. 920-927. [DOI: https://dx.doi.org/10.1111/myc.12963] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/31271702]
53. Pfaller, M.A.; Diekema, D.J.; Gibbs, D.L.; Newell, V.A.; Ellis, D.; Tullio, V.; Rodloff, A.; Fu, W.; Ling, T.A.; Global Antifungal Surveillance, G. Results from the ARTEMIS DISK Global Antifungal Surveillance Study, 1997 to 2007: A 10.5-year analysis of susceptibilities of Candida Species to fluconazole and voriconazole as determined by CLSI standardized disk diffusion. J. Clin. Microbiol.; 2010; 48, pp. 1366-1377. [DOI: https://dx.doi.org/10.1128/JCM.02117-09] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/20164282]
54. Pfaller, M.A.; Diekema, D.J.; Turnidge, J.D.; Castanheira, M.; Jones, R.N. Twenty Years of the SENTRY Antifungal Surveillance Program: Results for Candida Species From 1997–2016. Open Forum Infect. Dis.; 2019; 6, pp. S79-S94. [DOI: https://dx.doi.org/10.1093/ofid/ofy358] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/30895218]
55. Kim, S.H.; Shin, J.H.; Kim, E.C.; Lee, K.; Kim, M.N.; Lee, W.G.; Uh, Y.; Lee, H.S.; Lee, M.K.; Jeong, S.H. et al. The relationship between antifungal usage and antifungal susceptibility in clinical isolates of Candida: A multicenter Korean study. Med. Mycol.; 2009; 47, pp. 296-304. [DOI: https://dx.doi.org/10.1080/13693780802291445] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/18668423]
56. Lortholary, O.; Desnos-Ollivier, M.; Sitbon, K.; Fontanet, A.; Bretagne, S.; Dromer, F.; French Mycosis Study, G. Recent exposure to caspofungin or fluconazole influences the epidemiology of candidemia: A prospective multicenter study involving 2,441 patients. Antimicrob. Agents Chemother.; 2011; 55, pp. 532-538. [DOI: https://dx.doi.org/10.1128/AAC.01128-10] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/21078946]
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