pISSN : 3058-423X eISSN: 3058-4302
Open Access, Peer-reviewed
Waewta Kuwatjanakul,Lumyai Wonglakorn,Chutipapa Sukkasem,Rungsima Methachaiphatkun,Kanuengnit Srisak,Kittipan Samerpitak
10.17966/JMI.2025.30.3.92 Epub 2025 October 01
Abstract
Background: Antifungal susceptibility testing (AFST) is an important tool to support candidiasis treatment. Broth microdilution (BMD), a reference AFST, is expensive, labor-intensive, and time-consuming. To overcome these shortcomings, disk diffusion (DD) and commercial kits such as Sensititre YeastOne (SYO) and Vitek 2 (VT) have been developed and routinely employed.
Objective: To evaluate DD, SYO, and VT in the AFST of Candida species collected from patients with candidiasis.
Methods: Forty strains of five Candida species were tested with AFST using DD, SYO, and VT. Their susceptibility profiles were evaluated by their discrepancies. The errors and agreements between each method were investigated.
Results: Among the three tests, most strains were sensitive(S)/wild-type (WT). Only two strains of C. tropicalis were resistant to fluconazole (FLU) and voriconazole (VOR). Discrepancy from the three tests was found in five drugs. FLU had the highest error number. DD had a higher error number than SYO and VT, with categorical agreement (CA) values of 86.00% and 84.38%, respectively. SYO and VT had the highest CA of 98.75%.
Conclusion: SYO, VT, and DD were reliable for detecting the S/WT phenotype. SYO and VT had higher agreement than with DD; thus, they are more reliable for detecting or confirming resistant phenotypes. DD could still be used routinely because it is cheaper and easier to use. However, patient benefit must be the most important consideration in choosing the AFST method.
Keywords
Antifungal susceptibility testing Candidiasis Disk diffusion Sensititre YeastOne Vitek 2
Approximately 700,000 cases of invasive candidiasis were estimated annually, with approximately >350,000 of them resulting in death1. Candida albicans is the main culprit patho- gen of candidiasis. However, nonalbicans species such as C. glabrata (Nakaseomyces glabratus), C. parapsilosis, C. tropi- calis, C. guilliermondii (Meyerozyma guilliermondii), C. krusei (Pichia kudriavzevii), and C. auris (Candidozyma auris) have become more common over the last two decades. They were identified as the important causes of candidemia and are likely more resistant to antifungal drugs2-6.
The effective management of candidiasis requires early diagnosis and timely, appropriate medical treatment. Con- sequently, antifungal susceptibility testing (AFST) has to be performed routinely. Broth microdilution (BMD) is the reference AFST method, and two BMD protocols have been developed by two groups—the Clinical and Laboratory Stand- ards Institute (CLSI) and the European Committee on Anti- microbial Susceptibility Testing (EUCAST). Proposed protocols include the CLSI M27 and EUCAST methods for pathogenic Candida species7,8. These reference methods are expensive, labor-intensive, and time-consuming; therefore, they are not suitable for routine use in a laboratory. To overcome these shortcomings, the disk diffusion (DD) test or the Kirby-Bauer method9 has been developed as the CLSI M44-A docu- ment10,11. The test was performed using Mueller-Hinton agar with 2% glucose and 0.5 μg/ml methylene blue dye (MHA/ GMB). A breakpoint is interpreted by the inhibition-zone diameter. The DD test, which was suggested as an alternative, is a simple, inexpensive, and accurate method for AFST12-16.
Besides, some commercial kits have also been developed for AFST, such as the Thermo ScientificTM SensititreTM YeastOneTM YO10 AST Plate (SYO) (Thermo Scientific Inc., UK) and the Vitek 2 AST-YS09 (VT) (bio bioMérieux, FR). The SYO that uses BMD is a 96-well plate containing serial dilutions of nine antifungal agents. Resazurin (Alamar Blue) was added to each well to provide a colorimetric growth indicator. The minimal inhibitory concentration (MIC) is deter- mined by a change in color from blue to pink in the well after a 24-h incubation period. Many studies have demonstrated a high interlaboratory reproducibility using this kit17-28. The VT is a card panel containing 64 wells with dried concentrations of six antifungal drugs and a medium. The MIC values were determined using spectrophotometry of the automated Vitek 2 system. The kit was used to detect the MIC of clinically relevant Candida species28-38 , and many studies reported high agreement with the CLSI and EUCAST reference methods. The results of % agreement values between SYO, VT, and DD, with the CLSI, are reviewed and concluded in Table 1.
Species |
Anti-fungal drugs |
|
% Categorical agreement
(CA) |
||
SYO |
VT |
DD |
|||
C. albicans |
AMB |
|
95.2-10020,27,28 |
93.75-10028,36,37 |
|
|
FLU |
|
88.4-10019-22,24,27,28 |
79.2-96.528,29,31,36-38 |
88.321, 97.513 |
|
ITC |
|
8920, 10024 |
|
|
|
POS |
|
89.322 |
98.133* |
|
|
VOR |
|
90.5-10022,24,27,28 |
71.5-10028,30,31,36-38 |
|
|
ANI |
|
10026 |
10036 |
|
|
CAS |
|
95.2-10026-28 |
72.9-10028,33,35,37,38 |
7814 |
|
MICA |
|
97.627, 10026 |
95.8-10033,36-38 |
|
|
5FC |
|
8720-9924 |
9830 |
|
C. tropicalis |
AMB |
|
10027,28 |
10028,36 |
|
|
FLU |
|
56.25-10021,22,24,27,28 |
66.7-10028,29,31,36-38 |
66.221, 89.913 |
|
ITC |
|
3224 |
|
|
|
POS |
|
10022 |
|
|
|
VOR |
|
56.25-10022,24,27,28 |
77.8-10028,30,31,36-38 |
|
|
ANI |
|
10026 |
90.936 |
|
|
CAS |
|
93.75-10026-28 |
84.8-10028,33,35,37,38 |
|
|
MICA |
|
94.827, 10026 |
90.9-10033,36-38 |
|
|
5FC |
|
10024 |
10030 |
|
C. parapsilosis |
AMB |
|
10027,28 |
97.6-10028,36,37 |
|
|
FLU |
|
67.6-10021,22,24,27,28 |
82.9-10028,29,31,36-38 |
87.513, 88.921 |
|
ITC |
|
4824 |
|
|
|
POS |
|
98.322 |
|
|
|
VOR |
|
93.75-10022,24,27,28 |
75.6-10028,30,31,36-38 |
|
|
ANI |
|
96.726 |
8036 |
|
|
CAS |
|
10026-28 |
89.5-10028,33,35,37,38 |
|
|
MICA |
|
91.927, 10026 |
80-10033,36-38 |
|
|
5FC |
|
10024 |
10030,37 |
|
C. glabrata |
AMB |
|
93.327, 93.7528 |
10028,36,37 |
|
|
FLU |
|
34-10021,22,24,27,28 |
78.6-97.128,29,31,36 |
50.4-73.413,14,22 |
|
ITC |
|
6824 |
|
|
|
POS |
|
10022 |
|
|
|
VOR |
|
87-93.322,24,27 |
80-95.230,31,36,37 |
97.413 |
|
ANI |
|
93.126 |
10036 |
|
|
CAS |
|
68.75-89.726-28 |
15-98.933,35,37,38 |
|
|
MICA |
|
8027, 98.926 |
98.9-10033,36-38 |
|
|
5FC |
|
10024 |
10030 |
|
C. guilliermondii |
AMB |
|
|
|
|
|
FLU |
|
10022,24 |
10029,31 |
|
|
ITC |
|
5024 |
|
|
|
POS |
|
10022 |
|
|
|
VOR |
|
83.322, 10024 |
10030,31 |
|
|
ANI |
|
|
|
|
|
CAS |
|
|
10033,37 |
|
|
MICA |
|
|
10033,37 |
|
|
5FC |
|
|
10030 |
|
C. krusei |
AMB |
|
10027,28 |
93.3-10028,36,37 |
|
|
FLU |
|
40-10021,22,24,27 |
7.1-10029,31,36 |
62.521 |
|
ITC |
|
8024 |
|
|
|
POS |
|
10022 |
|
|
|
VOR |
|
56.25-10022,24,27,28 |
85.7-10028,30,31,36,37 |
|
|
ANI |
|
98.826 |
92.436 |
|
|
CAS |
|
25-8026-28 |
30-10028,33,35,37 |
|
|
MICA |
|
6027, 10026 |
83.3-10033,36,37 |
|
|
5FC |
|
8024 |
92.230, 10037 |
|
In this study, AFST for six Candida species was performed using SYO, VT, and DD tests. The susceptibility profiles were investigated and assessed in an attempt to find the most appropriate AFST for use in a routine laboratory.
1. Candida strains
From January 2021 to February 2023, 40 Candida strains had been isolated from the clinical specimens of patients with candidiasis, and those patients were admitted at the Srinagarind Hospital, Faculty of Medicine, Khon Kaen University, Thailand. These strains included 30 blood samples, two from bile fluid, peritoneal dialysis fluid, and Jackson drain fluid, and one from lymph node tissue, pleural fluid, percutaneous drainage, and thrombus. All strains were identified using a MALDI-TOF Autoflex maX mass spectrometer (Bruker, Bremen, DE). The identification results showed 15 strains of C. albicans, 16 of C. tropicalis, 3 of C. glabrata, 3 of C. parapsilosis, 2 of C. guilliermondii, and 1 of C. krusei. All of them were grown on sheep blood agar (SBA) and Sabouraud dextrose agar and stored in 20% glycerol at -70℃ for long-term preservation.
C. krusei ATCC 6258 and C. albicans ATCC 90028 were used in the study as controls for the AFST according to the CLSI recommendation.
2. Antifungal susceptibility testing
Each Candida strain was cultured on SBA at 37℃ for 48 h. The inoculum was prepared by suspending yeast colonies in sterile 0.85% saline solution to no. 0.5 McFarland for the SYO and DD methods, and no. 1.8-2.2 McFarland for VT.
The SYO kit contains the YeastOne YO10 AST plate filled with nine antifungal drugs at different concentrations. The drug concentrations were as following; 0.125-8 mg/mL of amphotericin B (AMB), 0.125-256 mg/mL of fluconazole (FLU), 0.015-16 mg/mL of itraconazole (ITR), 0.008-8 mg/mL of posaconazole (POS), voriconazole (VOR), caspofungin (CAS) and micafungin (MICA), 0.015-8 mg/mL of anidulafungin (ANI), and 0.06-64 mg/mL of flucytosine (5FC). The procedure was performed according to the manufacturer's guidelines. In brief, the 0.5 McFarland yeast suspension was diluted in the YeastOne medium and automatically filled into the YeastOne YO10 AST plate by the YeastOne machine. The plate was incubated at 37℃ for 24 h, and the MIC results were visually read. The breakpoints were interpreted by the CLSI11,39-44 criteria as shown in Table 2.
Species |
Anti-fungal drugs |
CLSI Breakpoint for BMD11,39-41 |
|
CLSI breakpoint for DD test42-44 |
|||||||
MIC (μg/mL) |
Zone diameters (mm) |
||||||||||
S(£) |
I |
SDD |
R(³) |
WT(£) |
S(³) |
I |
SDD |
R(£) |
|||
C. albicans |
AMB |
|
|
|
|
2 |
|
|
|
|
|
|
FLU |
2 |
- |
4 |
8 |
0.5 |
|
17 |
|
14-16 |
13 |
|
ITC |
0.12 |
|
0.25-0.5 |
1 |
0.12 |
|
|
|
|
|
|
POS |
|
|
|
|
0.06 |
|
|
|
|
|
|
VOR |
0.12 |
0.25-0.5 |
|
1 |
0.03 |
|
17 |
15-16 |
|
14 |
|
ANI |
0.25 |
0.5 |
|
1 |
0.12 |
|
|
|
|
|
|
CAS |
0.25 |
0.5 |
|
1 |
0.12 |
|
17 |
15-16 |
|
14 |
|
MICA |
0.25 |
0.5 |
|
1 |
0.03 |
|
|
|
|
|
|
5FC |
|
|
|
|
0.5 |
|
|
|
|
|
C. tropicalis |
AMB |
|
|
|
|
2 |
|
|
|
|
|
|
FLU |
2 |
|
4 |
8 |
2 |
|
17 |
|
14-16 |
13 |
|
ITC |
|
|
|
|
0.5 |
|
|
|
|
|
|
POS |
|
|
|
|
0.12 |
|
|
|
|
|
|
VOR |
0.12 |
0.25-0.5 |
|
1 |
0.06 |
|
17 |
15-16 |
|
14 |
|
ANI |
0.25 |
0.5 |
|
1 |
0.12 |
|
|
|
|
|
|
CAS |
0.25 |
0.5 |
|
1 |
0.12 |
|
17 |
15-16 |
|
14 |
|
MICA |
0.25 |
0.5 |
|
1 |
0.12 |
|
|
|
|
|
|
5FC |
|
|
|
|
0.5 |
|
|
|
|
|
C. parapsilosis |
AMB |
|
|
|
|
2 |
|
|
|
|
|
|
FLU |
2 |
|
4 |
8 |
2/ |
|
17 |
|
14-16 |
13 |
|
ITC |
|
|
|
|
0.5 |
|
|
|
|
|
|
POS |
|
|
|
|
0.25 |
|
|
|
|
|
|
VOR |
0.12 |
0.25-0.5 |
|
1 |
0.12 |
|
17 |
15-16 |
|
14 |
|
ANI |
2 |
4 |
|
8 |
4 |
|
|
|
|
|
|
CAS |
2 |
4 |
|
8 |
1 |
|
13 |
11-12 |
|
10 |
|
MICA |
2 |
4 |
|
8 |
4 |
|
|
|
|
|
|
5FC |
|
|
|
|
0.5 |
|
|
|
|
|
C. glabrata |
AMB |
|
|
|
|
2 |
|
|
|
|
|
|
FLU |
|
|
£32 |
64 |
32 |
|
|
|
³15 |
14 |
|
ITC |
|
|
|
|
2 |
|
|
|
|
|
|
POS |
|
|
|
|
2 |
|
|
|
|
|
|
VOR |
|
|
|
|
0.5 |
|
|
|
|
|
|
ANI |
0.12 |
0.25 |
|
0.5 |
0.25 |
|
|
|
|
|
|
CAS |
0.12 |
0.25 |
|
0.5 |
0.12 |
|
|
|
|
|
|
MICA |
0.06 |
0.12 |
|
0.25 |
0.03 |
|
|
|
|
|
|
5FC |
|
|
|
|
0.5 |
|
|
|
|
|
C. guilliermondii |
AMB |
|
|
|
|
2 |
|
|
|
|
|
|
FLU |
|
|
|
|
8 |
|
|
|
|
|
|
ITC |
|
|
|
|
1 |
|
|
|
|
|
|
POS |
|
|
|
|
0.5 |
|
|
|
|
|
|
VOR |
|
|
|
|
0.25 |
|
|
|
|
|
|
ANI |
2 |
4 |
|
8 |
4 |
|
|
|
|
|
|
CAS |
2 |
4 |
|
8 |
2 |
|
13 |
11-12 |
|
10 |
|
MICA |
2 |
4 |
|
8 |
2 |
|
|
|
|
|
|
5FC |
|
|
|
|
1 |
|
|
|
|
|
C. krusei |
AMB |
|
|
|
|
2 |
|
|
|
|
|
|
FLU |
|
|
|
|
64 |
|
|
|
|
|
|
ITC |
|
|
|
|
1 |
|
|
|
|
|
|
POS |
|
|
|
|
0.5 |
|
|
|
|
|
|
VOR |
0.5 |
1 |
|
2 |
0.5 |
|
17 |
13-14 |
|
12 |
|
ANI |
0.25 |
0.5 |
|
1 |
0.12 |
|
|
|
|
|
|
CAS |
0.25 |
0.5 |
|
1 |
0.25 |
|
17 |
15-16 |
|
14 |
|
MICA |
0.25 |
0.5 |
|
1 |
0.12 |
|
|
|
|
|
|
5FC |
|
|
|
|
32 |
|
|
|
|
|
Candida spp. |
AMB |
1 |
|
|
2 |
|
|
15 |
10-14 |
|
<10 |
|
FLU |
8 |
|
16-32 |
64 |
|
|
19 |
|
15-18 |
14 |
|
ITC |
0.12 |
|
|
1 |
|
|
23 |
|
14-22 |
<13 |
|
POS |
1 |
|
|
4 |
|
|
17 |
|
14-16 |
13 |
|
VOR |
1 |
|
|
4 |
|
|
17 |
|
14-16 |
13 |
|
ANI |
|
|
|
|
|
|
|
|
|
|
|
CAS |
0.25 |
|
|
1 |
|
|
16 |
13-15 |
|
12 |
|
MICA |
|
|
|
|
|
|
|
|
|
|
|
5FC |
|
|
|
|
|
|
|
|
|
|
The VT kit included the Vitek AST-YS09 card containing six antifungal agents, such as 0.25-8 mg/mL of AMB, 0.5-64 mg/mL of FLU, 0.125-8 mg/mL of VOR, 0.125-8 mg/mL of CAS, 0.06-8 mg/mL of MICA, and 1-64 mg/mL of 5FC. The procedure was performed according to the manufacturer's guidelines. The 1.8-2.2 McFarland yeast inoculum was diluted in normal saline and automatically filled into the Vitek AST-YS09 card by the Vitek 2 system, where the MIC results were also automatically measured and interpreted for the break- points as shown in Table 2.
The DD test was performed according to the CLSIM44-A10 by using a sterile swab soaked with a yeast inoculum suspension to smear and spread the yeast cells over the entire surface of an MHA/GMB agar plate. After letting the plate dry for 5-10 min, five antifungal disks (Liofichem S.r.l, IT), including 10-μg AMB, 5-μg CAS, 25-μg FLU, 8-μg ITR, and 1-μg VOR, were placed on the surface of the medium. The plate was incubated at 37℃ for 20-24 h. The diameters of the inhibition zones were measured for breakpoint inter- pretation10,11,44 as shown in Table 2.
3. Discrepancy analysis among each AFST
Each method was assigned as a reference value for com- paring its breakpoints with the others. The following par- ameters, such as very major error (VME), major error (ME), minor error (mE), and categorical agreement (CA), were investigated, counted, and calculated. "VME" is an error in which a strain is resistant according to the reference but sensitive using the test method (false sensitive). "ME" refers to an error in which a strain is sensitive according to the reference but resistant according to the test method (false resistance), and "mE" indicates an error in which a strain is resistant or sensitive according to the reference but inter- mediate by the test method, or vice-versa. "CA" is the pro- portion of test strains showing the same breakpoint when using the reference and the test method28. According to recommendations, the acceptable VME, ME, and mE rates should be <3%, <3%, and <10%, respectively10,43,44.
1. Antifungal susceptibility testing
Using all three methods, the reference strains, C. krusei ATCC 6258 and C. albicans ATCC 90028, revealed acceptable MIC values of the antifungal drugs tested.
To be confirmed by the three tests, almost all 15 strains of C. albicans were sensitive (S)/wild-type (WT) strains against nine antifungal drugs. All 16 strains of C. tropicalis and two strains of C. guilliermondii were S/WT to AMB, 5FC, and all echinocandin. All strains of C. glabrata and C. krusei and two strains of C. parapsilosis were S/WT to AMB and 5FC. The resistant (R)/nonwild-type (NWT) phenotype was found in two strains of C. tropicalis strains. They were resistant to FLU and VOR.
The SYO found that all C. tropicalis strains were NWT against POS and one NWT-strain against ITC. DD could detect the greatest number of resistant strains in other drugs, viz. 10 of FLU and 9 of VOR. All the details of the susceptibility profiles are shown in Table 3.
Species |
AFST profile |
Number of strains |
||||||||||
Number of strains |
AMB |
|
|
5FC |
|
CAS |
|
|
MICA |
|
ANI |
|
|
SYO |
VT |
DD |
SYO |
VT |
SYO |
VT |
DD |
SYO |
VT |
SYO |
|
C. albicans |
S/WT |
15 |
15 |
15 |
15 |
15 |
15 |
15 |
14 |
15 |
15 |
15 |
15 |
I/SDD |
|
|
|
|
|
|
|
1 |
|
|
|
|
R/NWT |
|
|
|
|
|
|
|
|
|
|
|
C. tropicalis |
S/WT |
16 |
16 |
16 |
16 |
16 |
16 |
16 |
16 |
16 |
16 |
16 |
16 |
I/SDD |
|
|
|
|
|
|
|
|
|
|
|
|
R/NWT |
|
|
|
|
|
|
|
|
|
|
|
C. parapsilosis |
S/WT |
3 |
3 |
2 |
3 |
3 |
3 |
3 |
2 |
2 |
2 |
2 |
3 |
I/SDD |
|
|
1 |
|
|
|
|
|
1 |
1 |
1 |
|
R/NWT |
|
|
|
|
|
|
|
1 |
|
|
|
C. glabrata |
S/WT |
3 |
3 |
3 |
3 |
3 |
1 |
|
3 |
3 |
3 |
|
3 |
I/SDD |
|
|
|
|
|
2 |
3 |
|
|
|
|
|
R/NWT |
|
|
|
|
|
|
|
|
|
|
|
C. guilliermondii |
S/WT |
2 |
2 |
2 |
2 |
2 |
2 |
2 |
2 |
2 |
2 |
|
2 |
I/SDD |
|
|
|
|
|
|
|
|
|
|
|
|
R/NWT |
|
|
|
|
|
|
|
|
|
|
|
C. krusei |
S/WT |
1 |
1 |
1 |
1 |
1 |
|
|
1 |
1 |
1 |
|
1 |
I/SDD |
|
|
|
|
|
1 |
1 |
|
|
|
|
|
R/NWT |
|
|
|
|
|
|
|
|
|
|
|
|
||||||||||||
Species |
AFST profile |
Number of strains |
|
|
||||||||
Number of strains |
FLU |
|
|
VOR |
|
|
ITC |
|
POS |
|
|
|
|
SYO |
VT |
DD |
SYO |
VT |
DD |
SYO |
DD |
SYO |
|
|
|
C. albicans |
S/WT |
15 |
15 |
15 |
15 |
15 |
15 |
15 |
15 |
15 |
|
|
15 |
I/SDD |
|
|
|
|
|
|
|
|
|
|
|
|
R/NWT |
|
|
|
|
|
|
|
|
|
|
|
C. tropicalis |
S/WT |
12 |
13 |
8 |
11 |
13 |
7 |
15 |
14 |
|
|
|
16 |
I/SDD |
2 |
1 |
3 |
2 |
1 |
1 |
|
2 |
|
|
|
|
R/NWT |
2 |
2 |
5 |
2 |
2 |
8 |
1 |
|
16 |
|
|
C. parapsilosis |
S/WT |
3 |
3 |
3 |
3 |
3 |
3 |
3 |
3 |
3 |
|
|
3 |
I/SDD |
|
|
|
|
|
|
|
|
|
|
|
|
R/NWT |
|
|
|
|
|
|
|
|
|
|
|
C. glabrata |
S/WT |
|
|
|
3 |
3 |
3 |
3 |
3 |
3 |
|
|
3 |
I/SDD |
3 |
3 |
2 |
|
|
|
|
|
|
|
|
|
R/NWT |
|
|
1 |
|
|
|
|
|
|
|
|
C. guilliermondii |
S/WT |
2 |
2 |
|
2 |
2 |
1 |
2 |
1 |
2 |
|
|
2 |
I/SDD |
|
|
|
|
|
|
|
1 |
|
|
|
|
R/NWT |
|
|
2 |
|
|
1 |
|
|
|
|
|
C. krusei |
S/WT |
1 |
1 |
|
1 |
1 |
1 |
1 |
1 |
1 |
|
|
1 |
I/SDD |
|
|
|
|
|
|
|
|
|
|
|
|
R/NWT |
|
|
1 |
|
|
|
|
|
|
|
|
2. Discrepancy analysis among each AFST
No discrepancy was found between SYO and VT in 5FC and MICA. The discrepancy among SYO, VT, and DD was found in AMB, CAS, FLU, VOR, and ITR. The errors, viz. VME, ME, mE, and %CA, were counted and calculated as shown in Table 4. The greatest number of errors from the three tests was found in FLU, such as 9 VME, 9 ME, and 24 mE. The errors of DD as the reference were the most numerous; i.e., 22 VME, 1 ME, and 30 mE, but the CA was 84.38% to VT and 86.00% to SYO. When assigned SYO and VT as a reference, only 3 mE with 98.75% CA were found between them. Candida tropicalis strains showed discrepancy break- points in three drugs (FLU, VOR, and ITR), whereas C. albicans strains showed discrepancy breakpoints only in CAS.
Species |
Drug |
Test |
SYO |
|
|
CA %‡ |
VT |
|
|
CA %‡ |
DD |
|
|
CA %‡ |
Number of strains |
|
|
Discrepancy |
Discrepancy |
Discrepancy |
|||||||||
|
|
|
VME |
ME |
mE |
VME |
ME |
mE |
VME |
ME |
mE |
|||
C. parapsilosis |
AMB |
SYO |
|
|
|
|
|
|
|
|
|
|
1 |
|
3 |
|
VT |
|
|
|
|
|
|
|
|
|
|
1 |
|
|
|
DD |
|
|
1 |
|
|
|
1 |
|
|
|
|
|
Total
error |
AMB |
SYO |
|
|
|
|
|
|
|
|
|
|
1 |
97.50 |
(%)* |
|
% |
|
|
|
|
|
|
|
|
|
|
2.50 |
|
|
|
VT |
|
|
|
|
|
|
|
|
|
|
1 |
97.50 |
|
|
% |
|
|
|
|
|
|
|
|
|
|
2.50 |
|
|
|
DD |
|
|
1 |
97.50 |
|
|
1 |
97.50 |
|
|
|
|
|
|
% |
|
|
2.50 |
|
|
|
2.50 |
|
|
|
|
|
C. albicans |
CAS |
SYO |
|
|
|
|
|
|
|
|
|
|
1 |
|
15 |
|
VT |
|
|
|
|
|
|
|
|
|
|
1 |
|
|
|
DD |
|
|
1 |
|
|
|
1 |
|
|
|
|
|
C. parapsilosis |
CAS |
SYO |
|
|
|
|
|
|
|
|
1 |
|
|
|
3 |
|
VT |
|
|
|
|
|
|
|
|
1 |
|
|
|
|
|
DD |
|
1 |
|
|
|
1 |
|
|
|
|
|
|
C. glabrata |
CAS |
SYO |
|
|
|
|
|
|
1 |
|
|
|
2 |
|
3 |
|
VT |
|
|
1 |
|
|
|
|
|
|
|
3 |
|
|
|
DD |
|
|
2 |
|
|
|
3 |
|
|
|
|
|
C. krusei |
CAS |
SYO |
|
|
|
|
|
|
|
|
|
|
1 |
|
1 |
|
VT |
|
|
|
|
|
|
|
|
|
|
1 |
|
|
|
DD |
|
|
1 |
|
|
|
1 |
|
|
|
|
|
Total
error |
CAS |
SYO |
|
|
|
|
|
|
1 |
97.50 |
1 |
|
4 |
87.50 |
(%)* |
|
% |
|
|
|
|
|
|
2.50 |
|
2.50 |
|
10.00§ |
|
|
|
VT |
|
|
1 |
97.50 |
|
|
|
|
1 |
|
5 |
85.00 |
|
|
% |
|
|
2.50 |
|
|
|
|
|
2.50 |
|
12.50§ |
|
|
|
DD |
|
1 |
4 |
87.50 |
|
1 |
5 |
85.50 |
|
|
|
|
|
|
% |
|
2.50 |
10.00§ |
|
|
2.50 |
12.50§ |
|
|
|
|
|
C. tropicalis |
FLU |
SYO |
|
|
|
|
|
|
1 |
|
1 |
|
5 |
|
16 |
|
VT |
|
|
1 |
|
|
|
|
|
2 |
|
4 |
|
|
|
DD |
|
1 |
5 |
|
|
2 |
4 |
|
|
|
|
|
C. glabrata |
FLU |
SYO |
|
|
|
|
|
|
|
|
|
|
1 |
|
3 |
|
VT |
|
|
|
|
|
|
|
|
|
|
1 |
|
|
|
DD |
|
|
1 |
|
|
|
1 |
|
|
|
|
|
C. guilliermondii |
FLU |
SYO |
|
|
|
|
|
|
|
|
2 |
|
|
|
2 |
|
VT |
|
|
|
|
|
|
|
|
2 |
|
|
|
|
|
DD |
|
2 |
|
|
|
2 |
|
|
|
|
|
|
C. krusei |
FLU |
SYO |
|
|
|
|
|
|
|
|
1 |
|
|
|
1 |
|
VT |
|
|
|
|
|
|
|
|
1 |
|
|
|
|
|
DD |
|
1 |
|
|
|
1 |
|
|
|
|
|
|
Total
error |
FLU |
SYO |
|
|
|
|
|
|
1 |
97.50 |
4 |
|
6 |
75.00 |
(%)* |
|
% |
|
|
|
|
|
|
2.50 |
|
10.00§ |
|
15.00§ |
|
|
|
VT |
|
|
1 |
97.50 |
|
|
|
|
5 |
|
5 |
75.00 |
|
|
% |
|
|
2.50 |
|
|
|
|
|
12.50§ |
|
12.50§ |
|
|
|
DD |
|
4 |
6 |
75.00 |
|
5 |
5 |
75.00 |
|
|
|
|
|
|
% |
|
10.00§ |
15.00§ |
|
|
12.50§ |
12.50§ |
|
|
|
|
|
C. tropicalis |
VOR |
SYO |
|
|
|
|
|
|
1 |
|
4 |
|
3 |
|
16 |
|
VT |
|
|
1 |
|
|
|
|
|
5 |
|
2 |
|
|
|
DD |
|
4 |
3 |
|
|
5 |
2 |
|
|
|
|
|
C. guilliermondii |
VOR |
SYO |
|
|
|
|
|
|
|
|
1 |
|
|
|
2 |
|
VT |
|
|
|
|
|
|
|
|
1 |
|
|
|
|
|
DD |
|
1 |
|
|
|
1 |
|
|
|
|
|
|
Total
error |
VOR |
SYO |
|
|
|
|
|
|
1 |
97.50 |
5 |
|
3 |
80.00 |
(%)* |
|
% |
|
|
|
|
|
|
2.50 |
|
12.50§ |
|
7.50 |
|
|
|
VT |
|
|
1 |
97.50 |
|
|
|
|
6 |
|
2 |
80.00 |
|
|
% |
|
|
2.50 |
|
|
|
|
|
15.00§ |
|
5.00 |
|
|
|
DD |
|
5 |
3 |
80.00 |
|
6 |
2 |
80.00 |
|
|
|
|
|
|
% |
|
12.50§ |
7.50 |
|
|
15.00§ |
5.00 |
|
|
|
|
|
C. tropicalis |
ITR |
SYO |
|
|
|
|
|
|
|
|
|
1 |
2 |
|
16 |
|
DD |
1 |
|
2 |
|
|
|
|
|
|
|
|
|
C. guilliermondii |
ITR |
SYO |
|
|
|
|
|
|
|
|
|
|
1 |
|
2 |
|
DD |
|
|
1 |
|
|
|
|
|
|
|
|
|
Total
error |
ITR |
SYO |
|
|
|
|
|
|
|
|
|
1 |
3 |
90.00 |
(%)* |
|
% |
|
|
|
|
|
|
|
|
|
2.50 |
7.50 |
|
|
|
DD |
1 |
|
3 |
90.00 |
|
|
|
|
|
|
|
|
|
|
% |
2.50 |
|
7.50 |
|
|
|
|
|
|
|
|
|
All errors |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
(SYO vs VT: 6 drugs) |
|
SYO |
|
|
|
|
|
|
3 |
98.75 |
10 |
1 |
17 |
86.00 |
(SYO vs DD: 5 drugs) |
|
%† |
|
|
|
|
|
|
1.25 |
|
5.00§ |
0.50 |
8.50 |
|
(VT vs SYO: 6 drugs) |
|
VT |
|
|
3 |
98.75 |
|
|
|
|
12 |
|
13 |
84.38 |
(VT vs DD: 4 drugs) |
|
%† |
|
|
1.25 |
|
|
|
|
|
7.50§ |
|
8.12 |
|
(DD vs SYO: 5 drugs) |
|
DD |
1 |
10 |
17 |
86.00 |
|
12 |
13 |
84.38 |
|
|
|
|
(DD vs VT: 4 drugs) |
|
%† |
0.50 |
5.00§ |
8.5 |
|
|
7.50§ |
8.12 |
|
|
|
|
|
*% Total error of
each drug = 100 × (the number of errors
÷ the number of all strains) †% All errors = 100 × [the number of errors ÷ (the number of all strains ×
the number of drugs tested with two methods)] ‡% CA = 100 – % error or % all error, § = more than acceptable value |
As shown in Table 1, SYO and VT had high CA values with the CLSI M27. Consequently, they have been suggested to be employed as routine AFSTs as their potential was confirmed in our study. When all errors and CA values were evaluated, it showed that SYO and VT can alternate with each other. They shared 100%CA against AMB, 5FC, and MICA. The overall discrepancy was 3 mE, and the CA was 98.75%. Only 1 mE was found against FLU and VOR in C. tropicalis and CAS in C. glabrata. The high correlation between these two kits was previously noted32. The CA values between SYO and VT were also reported as 95.2% with FLU and VOR in C. albicans, 51.8% and 96.3% in C. glabrata, and 94.1% and 100% of other Candida species, respectively45. Although the VT protocol is easier, it has lower CA values, <50% against CAS in C. krusei and C. glabrata37. However, it could detect fluconazole endpoints between 9.1 h and 27.1 h (12-14 h on average)29. Moreover, the VT system could measure the MIC values of all Candida spp. within 14-18 h (15.5 h on average)32. These advantages make VT suitable for routine use in laboratories with a high workload.
Although DD also showed satisfying CA with the CLSI M2713-16,21, it produced more errors than the two kits. In our study, DD showed 86.00% CA with SYO and 84.38% CA with VT. The number of the tested drug in DD is obviously less. However, it is appropriate to the guideline for systemic treatment46,47.
The sensitive phenotype was the most common, and it was strongly confirmed with AFST using SYO, VT, and DD in this study. Therefore, the sensitive phenotype of the six Candida species could be precisely identified with the three methods. Although SYO and VT seem to be more reliable than DD, they are more expensive and labor-intensive. If SYO is used routinely, it will significantly increase diagnostic expenses. VT is similar in quality to SYO, but it has more advantages than those previously mentioned. Besides, its lower price makes it more suitable for routine use. Although DD has the least precision, it should not be completely rejected because it is the easiest and cheapest method. Consequently, guidelines for using these three tests in a routine AFST can be set. For example, before performing AFST, the Candida species must be correctly identified. AFST can be performed by using DD as the first test. If the strain is "S" or "WT," it can be reported. If it is not "S" or "WT," the strain will be confirmed by VT or SYO. If the treatment is not successful and AFST of the same strain is requested again, VT or SYO will be chosen. However, patient benefit must be the most important factor in deciding the kit to use.
The phenotypes of Candida species that are resistant to the antifungal drugs employed have been reported48,49. While phenotypes that were sensitive against AMB, echinocandin, and FLU were noted that they were probably the intrinsic susceptibility of common Candida species; i.e., C. albicans, C. dubliniensis, C. tropicalis, C. parapsilosis, C. glabrata, and C. krusei 50. In our study, most Candida strains were sensitive to almost all the antifungal drugs tested. AMB, 5FC, triazoles, and echinocandin remain the appropriate medications for candidiasis treatment. All C. albicans strains were sensitive/ WT to FLU, VOR, and echinocandin, similar to the findings of some studies conducted in Thailand51-53. The resistant/NWT phenotypes confirmed with the three tests were only found in C. tropicalis strains. All strains of C. tropicalis were NWT against POS. Two prior studies conducted in Thailand reported that 85.71%52 and 88.88%53 of C. tropicalis were POS-NWT. The drug was previously found to be fungistatic against C. tropicalis54,55. This phenotype may be hypothesized as an intrinsic or natural trait of the species. Moreover, the unavail- able clinical breakpoints of C. tropicalis against POS might also be considered. Besides, confirmedly with the three tests, two strains of C. tropicalis were resistant to FLU and VOR. This may come from the same target site of the two drugs. Mutations of the ERG11 gene were strongly mentioned to cause FLU resistance in the species, and these mutations could cause cross-resistance to VOR56,57. One strain of C. tropicalis was ITC-NWT by SYO. The ITC-resistance incidence of C. tropicalis increased at a rate similar to that of FLU and VOR58. The azoles that are widely used in candidiasis treat- ment may be one of many reasons for the existence of the resistant phenotype. Long-term exposure to a high drug con- centration is the other factor that can induce FLU resistance in the C. tropicalis isolate59.
Currently, the antifungal stewardship program has been suggested to manage treatment because many fungal patho- gens with antifungal resistance have emerged. Moreover, the sensitive phenotype of the pathogen sometimes cannot predict treatment outcomes. The program involves monitoring many factors such as drug administration, pharmacokinetics, and pharmacodynamics (PK-PD)60. Consequently, appropriate and reliable standard AFST or commercial kits will undoubtedly play an important role in this monitoring.
References
1. Fungal Disease Frequency (GAFFI) - Global Action Fund for Fungal Infections [Internet]. 2013; [cited 15 August 2023]. https://gaffi.org/why/fungal-disease-frequency/
2. Cleveland AA, Harrison LH, Farley MM, Hollick R, Stein B, Chiller TM, et al. Declining incidence of candidemia and the shifting epidemiology of Candida resistance in two US Metropolitan areas, 2008-2013: results from population-based surveillance. PLOS ONE 2015;10:e0120452
Google Scholar
3. Klingspor L, Tortorano AM, Peman J, Willinger B, Hamal P, Sendid B, et al. Invasive Candida infections in surgical patients in intensive care units: a prospective, multicentre survey initiated by the European Confederation of Medical Mycology (2006-2008). Clin Microbiol Infect 2015;21: 87.e1-87.e10
Google Scholar
4. Sharifzadeh A, Khosravi AR, Shokri H, Asadi Jamnani F, Hajiabdolbaghi M, Ashrafi Tamami I. Oral microflora and their relation to risk factors in HIV + patients with oropharyngeal candidiasis. J Mycol Med 2013;23:105-112
Google Scholar
5. Freydière AM, Guinet R. Rapid methods for identification of the most frequent clinical yeasts. Rev Iberoam Micol 1997;14:85-89
Google Scholar
6. Schelenz S, Hagen F, Rhodes JL, Abdolrasouli A, Chowdhary A, Hall A, et al. First hospital outbreak of the globally emerging Candida auris in a European hospital. Antimicrob Resist Infect Control 2016;5:35
Google Scholar
7. Clinical and Laboratory Standards Institute (CLSI). Reference method for broth dilution antifungal suscepti- bility testing of yeasts. CLSI standard M27 4th ed. Wayne, PA: CLSI, 2017
8. The European Committee on Antimicrobial Susceptibility Testing. EUCAST method for susceptibility testing of yeasts. Version 7.3.1, 1 January 2017
9. Bauer AW, Perry DM, Kirby WM. Single-disk antibiotic-sensitivity testing of Staphylococci; an analysis of tech- nique and results. AMA Arch Intern Med 1959;104: 208-216, https://doi.org/10.1001/archinte.1959. 00270080034004
Google Scholar
10. National Committee for Clinical Laboratory Standards (NCCLS). Method for the antifungal disk diffusion susceptibility testing of yeasts: approved guideline (M44-A). Wayne, PA: NCCLS, 2004
Google Scholar
11. Clinical and Laboratory Standards Institute (CLSI). Performance Standards for Antifungal Susceptibility Testing of Yeasts. 3rd ed. CLSI supplement M27M44S. CLSI, USA, 2022
12. Pfaller MA, Diekema DJ, Boyken L, Messer SA, Tendolkar S, Hollis RJ. Evaluation of the Etest and disk diffusion methods for determining the susceptibilities of 235 bloodstream isolates of Candida glabrata to fluconazole and voriconazole. J Clin Microbiol 2003;41:1875-1880
Google Scholar
13. Pfaller MA, Hazen KC, Messer SA, Boyken L, Tendolkar S, Hollis RJ, et al. Comparison of results of the fluconazole disk diffusion testing for Candida species with the results from a central reference laboratory in the ARTEMIS global antifungal surveillance program. J Clin Microbiol 2004;42:3607-3612
Google Scholar
14. Milici ME, Maida CM, Spreghini E, Ravazzolo B, Oliveri S, Scalise G, et al. Comparison between disk diffusion and microdilution methods for determining the susceptibility of clinical fungal isolates to caspofungin. J Clin Microbiol 2007;45:3529-3533
Google Scholar
15. Correl- ation of Neo-Sensitabs tablet diffusion assay results on three different agar media with CLSI broth microdilution M27-A2 and disk diffusion M44-A results for testing the susceptibilities of Candida spp. and Cryptococcus neoformans to amphotericin B, caspofungin, fluconazole, itraconazole, and voriconazole.
Google Scholar
16. Negri M, Henriques M, Svidzinski TI, Paula CR, Oliveira R. Correlation between Etest®, disk diffusion, and micro- dilution methods for the antifungal susceptibility testing of Candida species from infection and colonization. J Clin Lab Anal 2009;23:324-330
Google Scholar
17. Pfaller MA, Vu Q, Lancaster M, Espinel-Ingroff A, Fothergill A, Grant C, et al. Multisite reproducibility of the colorimetric broth microdilution method for antifungal susceptibility testing of yeast isolates. J Clin Microbiol 1994;32:1625-1628
Google Scholar
18. Pfaller MA, Buschelman B, Bale MJ, Lancaster M, Espinel-Ingroff A, Rex JH, et al. Multicenter comparison of a colorimetric microdilution broth method with the re- ference macrodilution method for in vitro susceptibility testing of yeast isolates. Diagn Microbiol Infect Dis 1994; 19:9-13
Google Scholar
19. Pfaller MA, Messer SA, Hollis RJ, Espinel-Ingroff A, Ghannoum MA, Plavan H, et al. Multisite reproducibility of the MIC results by the Sensititre® YeastOne colorimetric antifungal susceptibility panel. Diagn Microbiol Infect Dis 1998;31:543-547
Google Scholar
20. Espinel-Ingroff A, Pfaller M, Messer SA, Knapp CC, Killian S, Norris HA, et al. Multicenter comparison of the Sensititre YeastOne Colorimetric Antifungal Panel with the National Committee for Clinical Laboratory standards M27-A reference method for testing clinical isolates of common and emerging Candida spp., Cryptococcus spp., and other yeasts and yeast-like organisms. J Clin Microbiol 1999;37:591-595
Google Scholar
21. Morace G, Amato G, Bistoni F, Fadda G, Marone P, Montagna MT, et al. Multicenter comparative evaluation of six commercial systems and the National Committee for Clinical Laboratory Standards M27-A broth micro- dilution method for the fluconazole susceptibility testing of Candida species. J Clin Microbiol 2002;40:2953-2958
Google Scholar
22. Pfaller MA, Espinel-Ingroff A, Jones RN. Clinical evaluation of the Sensititre YeastOne colorimetric antifungal plate for antifungal susceptibility testing of the new triazoles voriconazole, posaconazole, and ravuconazole. J Clin Microbiol 2004;42:4577-4580
Google Scholar
23. Pfaller MA, Jones RN, Microbiology Resource Committee, College of American Pathologists. Performance accuracy of antibacterial and antifungal susceptibility test methods: report from the College of American Pathologists Micro- biology Surveys Program (2001-2003). Arch Pathol Lab Med 2006;130:767-778
Google Scholar
24. Alexander BD, Byrne TC, Smith KL, Hanson KE, Anstrom KJ, Perfect JR, et al. Comparative evaluation of Etest and Sensititre YeastOne panels against the Clinical and Laboratory Standards Institute M27-A2 reference broth microdilution method for testing Candida susceptibility to seven antifungal agents. J Clin Microbiol 2007;45: 698-706
Google Scholar
25. Pfaller MA. New developments in the antifungal sus- ceptibility testing of Candida. Curr Fungal Infect Rep 2008;2:125-133
Google Scholar
26. Pfaller MA, Chaturvedi V, Diekema DJ, Ghannoum MA, Holliday NM, Killian SB, et al. Comparison of the Sen- sititre YeastOne colorimetric antifungal panel with CLSI microdilution for antifungal susceptibility testing of the echinocandins against Candida spp. using new clinical breakpoints and epidemiological cutoff values. Diagn Microbiol Infect Dis 2012;73:365-368
Google Scholar
27. Altinbaş R, Barış A, Şen S, Öztürk R, Kiraz N. Comparison of the Sensititre YeastOne antifungal method with the CLSI M27-A3 reference method to determine the activity of antifungal agents against clinical isolates of Candida spp. Turk J Med Sci 2020;50:2024-2031
Google Scholar
28. Siqueira RA, Doi AM, de Petrus Crossara PP, Koga PCM, Marques AG, Nunes FG, et al. Evaluation of two com- mercial methods for the susceptibility testing of Candida species: Vitek 2® and Sensititre YeastOne®. Rev Iberoam Micol 2018;35:83-87
Google Scholar
29. Pfaller MA, Diekema DJ, Procop GW, Rinaldi MG. Multi- center comparison of the VITEK 2 yeast susceptibility test with the CLSI broth microdilution reference method for testing fluconazole against Candida spp. J Clin Microbiol 2007;45:796-802
Google Scholar
30. Pfaller MA, Diekema DJ, Procop GW, Rinaldi MG. Multi- center comparison of the VITEK 2 antifungal susceptibility test with the CLSI broth microdilution reference method for testing amphotericin B, flucytosine, and voriconazole against Candida spp. J Clin Microbiol 2007;45:3522-3528
Google Scholar
31. Bourgeois N, Dehandschoewercker L, Bertout S, Bousquet PJ, Rispail P, Lachaud L. Antifungal susceptibility of 205 Candida spp. isolated primarily during invasive candidiasis and comparison of the Vitek 2 system with the CLSI broth microdilution and Etest methods. J Clin Microbiol 2010;48:154-161
Google Scholar
32. Cuenca-Estrella M, Gomez-Lopez A, Alastruey-Izquierdo A, Bernal-Martinez L, Cuesta I, Buitrago MJ, et al. Com- parison of the Vitek 2 antifungal susceptibility system with the Clinical and Laboratory Standards Institute (CLSI) and European Committee on Antimicrobial Susceptibility Testing (EUCAST) broth microdilution reference methods and with the Sensititre YeastOne and Etest techniques for the in vitro detection of antifungal resistance in yeast isolates. J Clin Microbiol 2010;48:1782-1786
Google Scholar
33. Peterson JF, Pfaller MA, Diekema DJ, Rinaldi MG, Riebe KM, Ledeboer NA. Multicenter comparison of the Vitek 2 antifungal susceptibility test with the CLSI broth microdilution reference method for testing caspofungin, micafungin, and posaconazole against Candida spp. J Clin Microbiol 2011;49:1765-1771. doi:10.1128/JCM.02517-10
Google Scholar
34. Melhem MS, Bertoletti A, Lucca HR, Silva RB, Meneghin FA, Szeszs MW. Use of the VITEK 2 system to identify and test the antifungal susceptibility of clinically relevant yeast species. Braz J Microbiol 2014;44:1257-1266
Google Scholar
35. Astvad KM, Perlin DS, Johansen HK, Jensen RH, Arendrup MC. Evaluation of caspofungin susceptibility testing by the new Vitek 2 AST-YS06 yeast card using a unique collection of FKS wild-type and hot spot mutant isolates, including the five most common Candida species. Anti- microb Agents Chemother 2013;57:177-182
Google Scholar
36. Dalyan Cilo B, Ener B. Comparison of the Clinical Labora- tory Standards Institute (CLSI) microdilution method and the VITEK 2 automated antifungal susceptibility system for the determination of the antifungal susceptibility of Candida species. Cureus 2021;13:e20220
Google Scholar
37. Lee H, Choi SH, Oh J, Koo J, Lee HJ, Cho SI, et al. Comparison of the six antifungal susceptibilities of 11 Candida species using the VITEK2 AST-YS08 card and the broth microdilution method. Microbiol Spectr 2022; 10:e0125321
Google Scholar
38. Sudhaharan S, Sundarapu NA, Pamidimukkala U. Com- parison of Vitek 2C antifungal susceptibility testing with broth microdilution testing for Candida species. Med Lab J 2024;18:4-7
Google Scholar
39. Pfaller MA, Diekema DJ. Progress in antifungal suscepti- bility testing of Candida spp. by using the Clinical and Laboratory Standards Institute Broth Microdilution Methods, 2010 to 2012. J Clin Microbiol 2012;50:2846-2856
Google Scholar
40. Humphries RM, Ambler J, Mitchell SL, Castanheira M, Dingle T, Hindler JA, et al. CLSI Methods Development and Standardization Working Group of the Subcommittee on Antimicrobial Susceptibility Tests. J Clin Microbiol 2018;56:e01934-17
41. Clinical and Laboratory Standards Institute (CLSI). Development of in vitro susceptibility testing criteria and quality control parameters. M23-A4, 4th ed. Wayne, PA: CLSI, 2016
Google Scholar
42. Clinical and Laboratory Standards Institute (CLSI). Per- formance Standards for Antifungal Susceptibility Testing of Yeasts. CLSI supplement M60, 2nd ed. Wayne, PA: CLSI, 2020
43. Clinical and Laboratory Standards Institute (CLSI). Method for antifungal disk diffusion susceptibility testing of yeasts. M44, 3rd ed. Wayne, PA: CLSI, 2018
44. Clinical and Laboratory Standards Institute (CLSI). Method for antifungal disk diffusion susceptibility testing of yeasts; approved guideline M44-A2. Wayne, PA: CLSI, 2009
Google Scholar
45. Vijgen S, Nys S, Naesens R, Magerman K, Boel A, Cartuyvels R. Comparison of the Vitek identification and antifungal susceptibility testing methods to DNA sequencing and Sensititre YeastOne antifungal testing. Med Mycol 2011;49:107-110
Google Scholar
46. Pappas PG, Kauffman CA, Andes DR, Clancy CJ, Marr KA, Ostrosky-Zeichner L, et al. Clinical practice guideline for the management of candidiasis: 2016 Update by the Infectious Diseases Society of America. Clin Infect Dis 2016;62:e1-50
Google Scholar
47. Barantsevich N, Barantsevich E. Diagnosis and treatment of invasive candidiasis. Antibiotics (Basel) 2022;11:718
Google Scholar
48. Verma R, Pradhan D, Hasan Z, Singh H, Jain AK, Khan LA. A systematic review of distribution and antifungal resistance pattern of Candida species in the Indian popu- lation. Med Mycol 2021;59:1145-1165
Google Scholar
49. Ibe C, Pohl CH. Epidemiology and drug resistance among Candida pathogens in Africa: Candida auris could now be leading the pack. Lancet Microbe 2025;6:100996
Google Scholar
50. Arendrup MC, Patterson TF. Multidrug-resistant Candida: epidemiology, molecular mechanisms, and treatment. J Infect Dis 2017;216(suppl_3):S445-S451
Google Scholar
51. Tan TY, Hsu LY, Alejandria MM, Chaiwarith R, Chinniah T, Chayakulkeeree M, et al. Antifungal susceptibility of invasive Candida bloodstream isolates from the Asia-Pacific region. Med Mycol 2016;54:471-477
Google Scholar
52. Boonsilp S, Homkaew A, Phumisantiphong U, Nutalai D, Wongsuk T. Species distribution, antifungal susceptibility, and molecular epidemiology of Candida species causing candidemia in a tertiary care hospital in Bangkok, Thailand. J Fungi (Basel) 2021;7:577
Google Scholar
53. Thunyaharn S, Santimaleeworagun W, Khoprasert C, Kesakomol P, Theeraapisakkun M, Visawapoka U. Activity of triazoles and echinocandins against Candida blood- stream isolates at Phramongkutklao Hospital, Thailand. J Southeast Asian Med Res 2021;5:84-90
Google Scholar
54. Sóczó G, Kardos G, McNicholas PM, Balogh E, Gergely L, Varga I, et al. Correlation of posaconazole minimum fungicidal concentration and time kill test against nine Candida species. J Antimicrob Chemother 2007;60:1004-1009
Google Scholar
55. Mariné M, Pastor FJ, Guarro J. Efficacy of posaconazole in a murine disseminated infection by Candida tropicalis. Antimicrob Agents Chemother 2010;54:530-532
Google Scholar
56. Fan X, Tsui CKM, Chen X, Wang P, Liu ZJ, Yang CX. High prevalence of fluconazole-resistant Candida tropicalis among candiduria samples in China: An ignored matter of concern. Front Microbiol 2023;14:1125241
57. Fan X, Tsui CKM, Chen X, Wang P, Liu ZJ, Yang CX. High prevalence of fluconazole-resistant Candida tropicalis among candiduria samples in China: An ignored matter of concern. Front Microbiol 2023;14:1125241
Google Scholar
58. Forastiero A, Mesa-Arango AC, Alastruey-Izquierdo A, Alcazar-Fuoli L, Bernal-Martinez L, Pelaez T, et al. Candida tropicalis antifungal cross-resistance is related to different azole target (Erg11p) modifications. Antimicrob Agents Chemother 2013;57:4769-4781
Google Scholar
59. Wang D, An N, Yang Y, Yang X, Fan Y, Feng J. Candida tropicalis distribution and drug resistance are correlated with ERG11 and UPC2 expression. Antimicrob Resist Infect Control 2021;10:54
Google Scholar
60. Paul S, Singh S, Sharma D, Chakrabarti A, Rudramurthy SM, Ghosh AK. Dynamics of the in vitro development of azole resistance in Candida tropicalis. J Glob Antimicrob Resist 2020;22:553-561
Google Scholar
61. Albahar F, Alhamad H, Abu Assab M, Abu-Farha R, Alawi L, Khaleel S. The impact of antifungal stewardship on clinical and performance measures: A global systematic review. Trop Med Infect Dis 2023;9:8
Google Scholar
Congratulatory MessageClick here!