Analysis of Antifungal Drug Resistance Among Candida Spp. and Other Pathogenic Yeasts Isolated from Patients in Eastern Poland: Diagnostic Problems

Introduction

Yeasts, with the predominance of Candida spp., are important etiologic agents of fungal infections in humans. Out of approximately 200 species belonging to this genus, only a few are considered pathogenic to humans. Recent years have witnessed an increasing incidence of rare Candida species, such as C. lipolytica, C. lusitaniae, C. famata, C.guillermondii, and C. pelliculosa,1–3 which present significant challenges in terms of their identification and interpretation of drug-resistance testing. The increasing availability of modern diagnostic methods (eg, MALDI-TOF, genomic sequencing) enables reliable species identification, providing a valuable alternative to the potential discrepancies seen with the biochemical tests of various commercial producers, and are increasingly utilized in microbiological laboratories.

Given information about the occurrence of multidrug-resistant yeasts4,5 and the dangerous species C. auris,6,7 it is important to conduct up-to-date regional analyses of the profiles of species isolated from infections and their drug resistance because they are crucial for making decisions regarding antifungal therapy. The reclassification and new nomenclature of certain Candida species, associated with the formation of dimorphic forms (anamorph, teleomorph), may be problematic due to previously established databases used for the interpretation of commercial identification tests. The new nomenclature of Candida species has been increasingly used in the literature and microbiological results, yet traditional names are still in use for easier species recognition, such as in the European Committee on Antimicrobial Susceptibility Testing (EUCAST) and Clinical and Laboratory Standards Institute (CLSI) recommendations.

The drug resistance profiles and information on isolates causing infections in a group of patients from a specific region of the country allow for the assessment of the current epidemiological situation in that area and should be taken into account in empirical therapy. This also includes surveillance of species with high epidemic potential, such as C. auris.

The aim of our study was to analyze the profile of yeast species isolated from human infections and to determine their antifungal resistance profiles. The study was conducted in accordance with currently available recommendations and data in relevant literature. A particular focus of the study was to evaluate the prevalence of multidrug-resistant yeasts and to determine whether there is a risk of C. auris occurrence in a region in eastern Poland (Lublin Voivodeship). We also addressed emerging issues at various stages of microbiological testing applied in routine diagnosis of yeast infections.

Materials and Methods Article Ethics

The study was approved by the Bioethics Committee at the Medical University of Lublin (no. KE-0254/294/2020). It complies with the tenets of the Declaration of Helsinki.

Isolation and Identification of Yeasts

Clinical qualification of patients with symptoms of fungal infection focused on those at high risk due to their status and medical history. Clinical samples were collected from individual patients as part of routine hospital procedure and included: throat swabs (n=96), urine (n=19), sputum from patients with cystic fibrosis (n=17), pus from wounds (n=15), vaginal swabs (n=12), sputum (n=10), bronchoalveolar lavage (BAL) (n=6), blood (n=6), ear discharge (n=5), skin lesions (n=4), tongue swabs (n=3), discharge from the lips (n=2), discharge from a central venous catheter (n=1), and peritoneal fluid (n=1).

The samples were cultured on standard media used in microbiological diagnostics, according to routine laboratory procedures. For fungi, cultures were grown on Sabouraud Dextrose Chloramphenicol Agar (bioMérieux) at 30°C for up to 5 days. A yeast-like organism was considered the etiological agent of infection if a rich monoculture of the fungus was obtained, or if its growth was dominant over a sparse microbiota (in the case of samples from areas with microbiota, such as the throat, vagina, skin, or tongue). After confirming the presence of yeasts microscopically (Gram-stained preparation), species identification was performed using the commercial manual biochemical tests ID32 (bioMérieux) and VITEK 2YST cards (bioMérieux) in the VITEK 2com device, following the manufacturer’s instructions. Final verification of the identified yeast species was conducted using the MALDI-TOF MS Biotyper system (Bruker Daltonics GmbH, Bremen, Germany), with three independent repetitions.8

Determination of Yeast Sensitivity to Antifungal Drugs

The minimum inhibitory concentration (MIC, mg/L) was determined using Liofilchem® MTS™ (MIC Test Strip), with a gradient of antibiotic concentrations (ranging from 0.002 to 32.0 mg/L) on the RPMI 1640 medium with 2% glucose (bioMerieux), utilizing an inoculum suspension of 0.5 McFarland in saline.9 Incubation was conducted under aerobic conditions at 35°C. MIC values were read after 24 hours and confirmed after 48 hours. The MIC reading was performed according to the manufacturer’s recommendations for Liofilchem® MTS™ strips: for amphotericin B, the MIC value was read at the point of complete growth inhibition; for azoles, at the first point of significant growth density inhibition (80% inhibition); and similarly for echinocandins (80%). Reference strains C. parapsilosis ATCC 22019, C. krusei ATCC 6258, and C. albicans ATCC 90028 were used as controls to ensure the accuracy of the measurements.9,10 Each isolate and control was tested in duplicate. For the identified species, MIC values (mg/L) were determined for amphotericin B, fluconazole, itraconazole, voriconazole, isavuconazole, posaconazole, caspofungin, micafungin, and anidulafungin. Results were interpreted according to the EUCAST and CLSI guidelines.11–14

Results

The analysis included yeast isolates cultured from 197 patients (107 women and 90 men) aged 1 to 98 years. Patients with cystic fibrosis, as well as hospitalized and outpatient individuals, were enrolled in the study. The selection of individuals for the study group, from which yeasts were isolated, was random and was related to the successive execution of microbiological testing orders for fungal infections in the laboratory during the period from 2022 to 2024. As a result of the conducted studies, a collection of 197 yeast strains was obtained. Species identification indicated a high level of diversity (Table 1).

Table 1 Species of Yeasts (n=197 Isolates) Cultured from Clinical Samples

Nineteen species were identified (listed by the number of strains within each species): C. albicans (n=78), C. glabrata (Nakaseomyces glabrata) (n=30), C. dubliniensis (n=23), C. krusei (Pichia kudriavzevii) (n=13), C. parapsilosis (n=13), C. tropicalis (n=7), C. kefyr (Kluyveromyces marxianus) (n=6), C. lusitaniae (Clavispora lusitaniae) (n=6), C. lipolytica (Yarrowia lipolytica) (n=3), C. famata (Debaryomyces hansenii) (n=2), C. intermedia (n=2), C. guillermondii (Meyerozyma guilliermondii) (n=2), C. ciferrii (n=1), C. orthopsilosis (n=1), C. pelliculosa (Wickerhamomyces anomalus) (n=1), C. shehatae (n=1), C. fabianii (Cyberlindnera fabianii) (n=1), Cryptococcus humicola (Vanrija humicola) (n=4), and Saccharomyces cerevisiae (n=3). The presence of C. auris was not detected. For convenience, only the classical names of the species from the genera Candida, Cryptococcus, and Saccharomyces were used in subsequent elements of the work.

Based on the MIC values (mg/L), MIC50 and MIC90 were determined for the most numerous species, with isolation numbers ranging from 78 to 13 strains. For the remaining species, which included strains from 7 isolates to 1 isolate, individual MIC values were specified (Tables 2–5). Interpretation of MIC values in terms of resistance to the tested antifungal drugs was based on the EUCAST and CLSI recommendations, as well as on data in relevant literature. Table 6 presents a summary of the number (n) and percentage (%) of resistant isolates among the obtained isolates of each species, based on available sources for result interpretation, along with the recommended resistance threshold (MIC R) for each antifungal drug.

Table 2 Range of MIC (mg/L), MIC50 and MIC90 Values of the Tested Antifungal Drugs Against Candida albicans, Candida glabrata, Candida dubliniensis, Candida krusei, Candida parapsilosis, and Candida tropicalis

Table 3 Range of MIC (mg/L) and MIC Values of the Tested Antifungal Drugs for Candida kefyr, Candida lusitaniae, and Candida lipolytica

Table 4 MIC (mL/L) Values of the Tested Antifungal Drugs for Candida famata, Candida intermedia, Candida guilliermondii, Candidaciferrii, Candida orthopsilosis, Candida pelliculosa, Candida reliculosa, Candida shehatae

Table 5 MIC (mg/L) Values of the Tested Antifungal Drugs for Cryptococcus humicola, Saccharomyces cerevisiae, and Cyberlindnera fabianii

Table 6 Number and Percentage (n/%) of Candida Isolates (the Eight Most Frequently Isolated Species) Resistant to the Tested Antifungal Drugs According to the Recommended Breakpoint MIC (MIC R) Values (EUCAST, CLSI, and Literature Data)

Discussion

The collection of 197 yeast isolates was obtained from various clinical materials from patients with fungal infections. The collected samples were appropriate for the site of an ongoing infection. Our study was not limited to materials obtained from invasive infections but aimed to assess the spectrum of species present across a clinically diverse group of patients with infections in various locations. Biochemical identification based on commercial tests did not lead to consistent species identification in several cases when compared to repeated determinations using MALDI-TOF, as also reported by other authors. This included, for example: C. parapsilosis (MALDI-TOF C. orthopsilosis) cultured from ear discharge,16C. pelliculosa (MALDI-TOF Cyberlindnera fabianii) cultured from the throat,17C. sivicola (MALDI-TOF Stephanoascus ciferrii) from the sputum of a cystic fibrosis patient,18 as well as C. dubliniensis (MALDI-TOF Yarrowia lipolytica) from the throat, C. famata (MALDI-TOF C. intermedia) from the throat, C. sake (MALDI-TOF C. shehatae) from BAL, C. sake (MALDI-TOF C. parapsilosis) from ear discharge, and C. kefyr (MALDI-TOF C. krusei) from an abscess.

In the pool of 197 strains, eight cases of inconsistent species identification were noted, and they represented yeasts rarely isolated from clinical materials. In the case of isolation of a rare species, verification of its identification using a method other than a biochemical test should be applied. MALDI-TOF is recommended,19 as it has been approved by the FDA, along with genetic methods. Among the other species reported in the study, their identification (confirmed by MALDI-TOF) did not present difficulties with commercial biochemical tests, and over 99% agreement in identification was observed. In recent years, access to the MALDI-TOF technology in laboratories has significantly increased and, currently, verification of bacterial and fungal species identification using this method is not problematic. Accurate identification of yeast species is crucial for the interpretation of the antifungal susceptibility profile, which is important in establishing antifungal therapy for infections in various locations and often involves specific patient groups.

Among patients included in the study, we particularly noted those with cystic fibrosis, from whom seven different species of yeast were isolated from sputum, encompassing 17 isolates: C. dubliniensis (n=5), Cryptococcus humicola (n=4), C. albicans (n=2), C. famata (n=2), C. glabrata (n=2), C. ciferrii (n=1), and C. krusei (n=1). Due to the use of inhaled medications, patients with cystic fibrosis are particularly susceptible to the presence of yeasts in the respiratory tract, which is associated with a more severe form of the disease.20 The most prevalent species in the group of cystic fibrosis patients included in the study, C. dubliniensis, has a particular affinity with the respiratory tract in this condition, due to the hydrophobicity of its cell surface, which facilitates easier proliferation in dehydrated secretions.21

The recommended method for the determination of antifungal susceptibility in fungi is to establish MIC (mg/L) values. The disc diffusion method is not used; however, this method has been described and validated in some studies for selected Candida spp.22 Currently, the determination of MIC values is recommended by CLSI and EUCAST. The dilution method is used, with the procedure details described by the reference centers, CLSI and EUCAST, differing slightly. This pertains to the type of wells used on the plate (round or flat), the concentration of glucose in the medium (0.2 or 2.0%), incubation time for azole testing (48 or 24 h) and Cryptococcus (72 or 48 h), and growth inhibition with amphotericin B (100 or 90%). Additionally, the method for reading the final result differs—CLSI recommendations suggest visual assessment, while EUCAST uses spectrometric reading.11,12 Another method used to determine the MIC for fungi is a commercial method using strips impregnated with antifungal drugs, which have a scale of concentrations allowing for the reading of MIC values at the intersection of the inhibition zone. In our study, Liofilchem® MTS™ strips were used. Initially, we performed controls that confirmed the correlation of the results with the microdilution method. We determined the MICs using strips with a gradient of antifungal drug concentrations in two independent repetitions, alongside simultaneous control using reference strains, with results in each testing round conforming to recommendations.9,10 The method using strips with a gradient of drug concentrations is simple, easy, and quick to perform and read. The ability to carry out independent, single determinations allows for broader application, such as selecting the spectrum of measured MIC values depending on fungal species and the need for specific testing in the laboratory for a particular patient. High agreement has been noted between dilution methods in broth according to the CLSI and EUCAST and tests using this method.23 An interesting report highlights the potential use of a liquid positive blood culture in cases of candidemia for direct determination of antifungal susceptibility using strips with a gradient of drug concentrations.24 This is somewhat analogous to performing such susceptibility tests in cases of bacteremia. When using gradient concentration strips in the laboratory, it is crucial to develop an appropriate control scheme and establish the correct categories of agreement for critical points with reference methods.10 In our study, 19 species were identified (Table 1). The most frequently isolated species was C. albicans, with 78 strains accounting for 39.6% of all yeast isolates. They were cultured from 12 different types of clinical material, with the highest number cultured from the throat (44 strains). In the assessment of the culture in conjunction with clinical symptoms, a state of colonization was excluded. This localization of local candidiasis can also be a source of endogenous invasive infection. In many studies, C. albicans is mentioned as the dominant species in infections.25,26 The diversity of locations may be influenced by various pathogenic possibilities and virulence factors, including the transition from yeast form to hyphal form, as well as the ability to produce biofilm and to undergo adaptation to new environmental niches. Determination of the resistance profile of the infecting yeast strain is crucial to establish an effective treatment regimen. Most C. albicans isolates exhibited susceptibility to the tested antifungal drugs. According to the EUCAST interpretation, the highest percentage of resistant isolates was reported for itraconazole (91%), posaconazole (79%), and anidulafungin (90%). According to the CLSI, which has higher resistance breakpoints, such a high percentage of resistant isolates was not observed.

C. glabrata was the second most numerous species. In other studies, C. glabrata is mentioned next,27,28 which may be related to the geographical area from which the strains were obtained. The MIC90 values confirmed high resistance rates to fluconazole, posaconazole, itraconazole, and caspofungin.

C. dubliniensis is the closest relative to C. albicans, which can be challenging in terms of their differentiation, which is also due to clonal characteristics. They exhibit high sensitivity to antifungal drugs.29 In our study, among 23 strains, there were high resistance rates to itraconazole (78%) and posaconazole (57%), which may be due to the local occurrence of this resistance profile.

C. krusei isolates involved in infections show a tendency to easily acquire resistance and demonstrate resistance to fluconazole,30 which was also confirmed by our results (MIC90 ≥32 mg/L). C. krusei strains primarily exhibited resistance to itraconazole (11 out of 13 isolates) and (MIC90 >32) to fluconazole and caspofungin, with six resistant isolates among all 13 isolates belonging to this species.

The occurrence of the next analyzed species, C. parapsilosis, varies by region in Europe. It is the second most commonly isolated species in hospitals in Southern Europe (Portugal, Spain, Italy, and Greece). This yeast is a part of the psilosis complex, which also includes C.orthopsilosis and C. metapsilosis.31 In our study, C. parapsilosis was primarily resistant to posaconazole (all strains) and showed high resistance to itraconazole (11 out of 13 strains) and anidulafungin (10 strains). With higher resistance thresholds for anidulafungin (according to CLSI), MIC >8 mg/L, resistance was observed in 9 out of 13 isolates. In contrast, all strains of C. tropicalis exhibited resistance to posaconazole.

With regard to another species, C. lusitaniae, 3 out of 6 isolates demonstrated high MIC values for fluconazole (4.0, 6.0, 6.0) and resistance to voriconazole (4 strains). C. lusitaniae is a member of the normal mycobiota of animals and is rarely isolated from clinical materials. Typically, strains are sensitive to echinocandins, but there are concerns about the potential emergence of antifungal resistance in this species, for example during treatment with amphotericin B, caspofungin, and azoles.32 Additionally, isolates of C. lipolytica with the MIC values of 4.0 and 12.0 were categorized as resistant to fluconazole and all were resistant to itraconazole. These MIC results can be interpreted by drawing analogies with the MIC of other species with similar values.

C. ciferrii isolated from the sputum sample of a cystic fibrosis patient posed identification challenges and showed high resistance (MIC >32) to fluconazole and posaconazole. Based on analogies with other resistant species with the MIC value of 0.5, it also exhibited resistance to posaconazole. The isolated strain of C. orthopsilosis was characterized by resistance to caspofungin (MIC >32), micafungin (MIC = 6.0), and anidulafungin (MIC >32). Despite its relatedness to C. parapsilosis, it did not show analogous resistance. The C. shehatae species consists of three genetically divergent subgroups that have been given varietal status: C. shehatae var. shehatae, var. lignosa, and var. Insectosa.33 In our study, we cultured a single strain of C. shehatae and did not conduct a detailed genetic identification of the subspecies. It exhibited a high MIC for fluconazole (>32) and an MIC of 1.5 for posaconazole.

Among the yeasts isolated from cystic fibrosis patients, we obtained four strains of Vanrija humicola—previously named Cryptococcus humicola,34 which exhibited high resistance to fluconazole (3 out of 4 isolates had an MIC of >32) as well as resistance at the same MIC level for voriconazole (2 strains), with one of the 4 isolates resistant to isavuconazole and posaconazole.

Three isolates of Saccharomyces cerevisiae cultured from the throat demonstrated high resistance to fluconazole (MIC: 6.0, 12.0, >32) and caspofungin (MIC: 2.0, 4.0, 6.0). S. cerevisiae is commonly referred to as “baker’s yeast” and is considered a rare commensal in the digestive system. However, since the 1990s, there have been increasing reports on its involvement in infections, including invasive ones.35 The presence of this opportunistic yeast in the throat, accompanied by symptoms of fungal infection, warrants attention, especially since the isolates in our study exhibited resistance to important antifungal drugs. Immunocompromised individuals may be particularly susceptible to infections caused by this low-virulence yeast, making it essential to include this species in microbiological studies and monitor its drug resistance.

Yeasts belonging to other species identified in the study, including C. kefyr, C. famata, C. intermedia, C. guillermondii, C. pelliculosa, and C. fabianii, did not exhibit resistance to the antifungal drugs tested.

It should be emphasized that a large proportion of the patients from whom yeast isolates were cultured were elderly or had clinically diagnosed fungal infections. The development of fungal resistance may be associated with more frequent contact with healthcare settings and a higher likelihood of colonization (presence in the microbiota) by strains originating in the hospital environment. Although our study did not include healthy patients or the analysis of their microbiota, one could hypothesize that this mechanism may be relevant for these patients. In the treatment of hospitalized patients, antifungal drugs commonly used in the empirical therapy include fluconazole and echinocandins. Overuse of these antifungal drugs may lead to the selection of resistant isolates. Nevertheless, it is worth noting that, among the most commonly isolates species, fluconazole resistance rates were high only in C. lusitaniae isolates (67%), which supports its usefulness in the therapy of infections. The lowest resistance rates, observed only in C. krusei isolates (23%), were reported for amphotericin B. This drug is also used in the empirical therapy of many Candida infections.

Conclusions

Accurate species identification is fundamental to determine antifungal drug resistance. Application of MALDI-TOF technology in the study enabled to identify a diversity of yeasts, including rare species. The challenge in accurately determining drug resistance stems from the lack of interpretive criteria for MIC values in case of rarely encountered yeast species. One potential solution to interpretation difficulties is to compare values with established resistance breakpoints for species with defined MIC ranges, particularly phylogenetically-related species. We found very precise and reproducible results for MIC values using gradient concentration strips. This simple method can be successfully employed in diagnostic laboratories, allowing for rapid adaptation to the patient’s situation.

The highest resistance rates were observed for itraconazole, posaconazole, and anidulafungin in the isolates representing C. albicans, C. parapsilosis, and C. dubliniensis species. The lowest resistance rates, observed only in C. krusei isolates, were reported for amphotericin B. Our study also revealed individual strains of rare species (C. lusitaniae, C. lipolytica, C. cifferii, C. orthopsilosis, C. shehatae, V. humicola, Saccharomyces cerevisiae) resistant to the key antifungal drugs, including fluconazole, posaconazole or caspofungin, which is a concerning phenomenon.

Funding

This research was funded by the Polish National Science Centre (grant 2019/35/B/NZ7/02756).

Disclosure

The authors declare no conflicts of interest in this work.

References

1. Kumar S, Kumar A, Roudbary M, et al. Overview on the infections related to rare Candida species. Pathogens. 2022;11:963. doi:10.3390/pathogens11090963

2. Turner SA, Butler G. The Candida pathogenic species complex. Cold Spring Harbor Perspec Med. 2014;4(9):a019778. doi:10.1101/cshperspect.a019778

3. Noni M, Stathi A, Velegraki A, et al. Rare Invasive yeast infections in Greek neonates and children, a retrospective 12-year study. J Fungi. 2020;6:194. doi:10.3390/jof6040194

4. Lockhart SR, Chowdhary A, Gold JAW. The rapid emergence of antifungal-resistant human-pathogenic fungi. Nat Rev Microbiol. 2023;21(12):818–832. doi:10.1038/s41579-023-00960-9

5. Jamiu AT, Albertyn J, Sebolai OM, et al. Update on Candida krusei, a potential multidrug-resistant pathogen. Med Mycol. 2021;59(1):14–30. doi:10.1093/mmy/myaa031

6. Chowdhary A, Jain K, Chauhan N. Candida auris Genetics and Emergence. Annu Rev Microbiol. 2023;77(1):583–602. doi:10.1146/annurev-micro-032521-015858

7. Wang S, Pan J, Gu L, et al. Review of treatment options for a multidrug-resistant fungus: Candida auris. Med Mycol. 2024;62(1):myad127. doi:10.1093/mmy/myad127

8. Lacroix C, Gicquel A, Sendid B, et al. Evaluation of two matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) systems for the identification of Candida species. Clin Microbiol Infect. 2014;20(2):153–158. doi:10.1111/1469-0691.12210

9. MIC test strip technical sheet yeast -MTS24-Rv.6/ 31.05.2021, liofilchem®s.r.l. Italy.

10. The European Committee on Antimicrobial Susceptibility Testing. Routine and extended internal quality control for MIC determination and agar dilution for yeasts, moulds and dermatophytes as recommended by EUCAST. Version 6.0. 2022. http://www.eucast.org.

11. EUCAST guidance on Interpretation of MICs for rare yeast without breakpoints in breakpoint table. EUCAST Susceptibility Testing Subcommittee. 2024. Available from: https://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/AFST/Files/EUCAST_guidance_for_Rare_yeast_with_no_breakpoints_final_clean_16-04-2024.pdf. Accessed March25, 2025.

12. CLSI. Performance standards for antifungal susceptibility testing of yeasts. 3rd ed. CLSI Supplement M27M44S. Clinical and Laboratory Standards Institute; 2022.

13. EUCAST guidance on interpretation of MICs for rare yeast without breakpoints in breakpoint, anti-fungal susceptibility testing subcommittee tables. 2024. Available from: https://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/AFST/Files/EUCAST_guidance_for_Rare_yeast_with_no_breakpoints_final_clean_19-06-2024.pdf. Accessed March25, 2025.

14. Astvad KMT, Arikan-Akdagli S, Arendrup MC. A pragmatic approach to susceptibility classification of yeasts without EUCAST clinical breakpoints. J Fungi. 2022;8(2):141. doi:10.3390/jof8020141

15. Arendrup MC, Friberg N, Mares M, et al. How to interpret MICs of antifungal compounds according to the revised clinical breakpoints v. 10.0 European committee on antimicrobial susceptibility testing (EUCAST). Clin Microbiol Infect. 2020;26(11):1464e1472. doi:10.1016/j.cmi.2020.06.007

16. Bertini A, De BF, Hensgens LAM, et al. Comparison of Candida parapsilosis, Candida orthopsilosis, and Candida metapsilosis adhesive properties and pathogenicity. Int J Med Microbiol. 2013;303(2):98–103. doi:10.1016/j.ijmm.2012.12.006

17. Svobodova L, Bednarova D, Hamal P. The prevalence of Candida pelliculosa, Candida utilis, and Candida fabianii in the Olomouc University Hospital: epidemiological study. Epidemiol Mikrobiol Immunol. 2016;65(1):34–38.

18. Cosio T, Pica F, Fontana C, et al. Stephanoascus ciferrii complex: the current state of infections and drug resistance in humans. J Fungi. 2024;10(4):294. doi:10.3390/jof10040294

19. Lau AF. MALDI-TOF for Fungal Identification. Clinics Lab Med. 2021;41(2):267–283. doi:10.1016/j.cll.2021.03.006

20. Chotirmall SH, Greene CM, McElvaney NG. Candida species in cystic fibrosis: a road less travelled. Med Mycol. 2010;48(Suppl 1):S114–S124. doi:10.3109/13693786.2010.503320

21. Hazen KC, Wu JG, Masuoka J. Comparison of the hydrophobic properties of Candida albicans and Candida dubliniensis. Infect Immun. 2001;69:779–786. doi:10.1128/IAI.69.2.779-786.2001

22. CLSI. Method for antifungal disk diffusion susceptibility testing of yeasts. This guideline provides an established methodology for disk diffusion testing of Candida spp. along with recommendations for results interpretation and quality control testing 3rd M44, Replaces M44-A2Clinical and Laboratory Standards Institute. 2018 Available from: https://clsi.org/media/2634/m44ed3_sample.pdf. Accessed March25, 2025.

23. Wiederhold NP. Antifungal susceptibility testing: a primer for clinicians. Open Forum Infect Dis. 2021;8(11):ofab444. doi:10.1093/ofid/ofab444

24. Chang HC, Chang JJ, Chan SH, et al. Evaluation of etest for direct antifungal susceptibility testing of yeasts in positive blood cultures. J Clin Microbiol. 2001;39(4):1328–1333. doi:10.1128/JCM.39.4.1328-1333.2001

25. Fan F, Liu Y, Liu Y, et al. Candida albicans biofilms: antifungal resistance, immune evasion, and emerging therapeutic strategies. Int J Antimicrob Agents. 2022;60:5–6,106673. doi:10.1016/j.ijantimicag.2022.106673

26. Talapko J, Juzbašic M, Matijevic T, et al. Candida albicans—the virulence factors and clinical manifestations of infection. J Fungi. 2021;7(2):79. doi:10.3390/jof7020079

27. Bilal H, Shafiq M, Hou B, et al. Distribution and antifungal susceptibility pattern of Candida species from mainland China: a systematic analysis. Virulence. 2022;13(1):1573–1589. doi:10.1080/21505594.2022.2123325

28. Arendrup MC, Arikan-Akdagli S, Jørgensen KM, et al. European candidaemia is characterised by notable differential epidemiology and susceptibility pattern: results from the ECMM Candida III study. J Infection. 2023;87(5):428–437. doi:10.1016/j.jinf.2023.08.001

29. Mirhendi H, Makimura K, Zomorodian K, et al. Differentiation of Candida albicans and Candida dubliniensis using a single-enzyme PCR-RFLP method. Jpn J Infect Dis. 2005;58(4):235–237.

30. Jamiu AT, Albertyn J, Sebolai OM, et al. Update on Candida krusei, a potential multidrug-resistant pathogen. Med Mycol. 2021;4(59):1):14–30. doi:10.1093/mmy/myaa031

31. Branco J, Miranda IM, Rodrigues AG. Candida parapsilosis virulence and antifungal resistance mechanisms: a comprehensive review of key determinants. J Fungi. 2023;9(1):80. doi:10.3390/jof9010080

32. Asner SA, Giulieri S, Diezi M, et al. Acquired multidrug antifungal resistance in Candida lusitaniae during therapy. AAC. 2015;59(12):7715–7722. doi:10.1128/AAC.02204-15

33. Kurtzman CP. Candida shehatae-genetic diversity and phylogenetic relationships with other xylose-fermenting yeasts. Antonie van Leeuwenhoek. 1990;57(4):215–222. doi:10.1007/BF00400153

34. Lee JW, Won EJ, Sung H, et al. Emergence of Vanrija humicola as a pathogen of urinary tract infections in Korea. Ann Clin Microbiol. 2024;27(1):31–37. doi:10.5145/ACM.2024.27.1.5

35. Anache-Angoulvant A, Hennequin C. Invasive Saccharomyces infection: a comprehensive review. Clin Infect Dis. 2005;41(11):1559–1568. doi:10.1086/497832

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