Literature DB >> 26488845

Uncommon Candida Species Fungemia among Cancer Patients, Houston, Texas, USA.

Dong Sik Jung, Dimitrios Farmakiotis, Ying Jiang, Jeffrey J Tarrand, Dimitrios P Kontoyiannis.   

Abstract

Many uncommon Candida species that cause bloodstream infections (BSIs) are not well-characterized. We investigated the epidemiology, antifungal use, susceptibility patterns, and factors associated with all-cause death among cancer patients in whom uncommon Candida spp. BSIs were diagnosed at a cancer treatment center during January 1998–September 2013. Of 1,395 Candida bloodstream isolates, 79 from 68 patients were uncommon Candida spp. The incidence density of uncommon Candida spp. BSIs and their proportion to all candidemia episodes substantively increased during the study period, and the rise was associated with increasing use of echinocandin antifungal drugs. Thirty-seven patients had breakthrough infections during therapy or prophylaxis with various systemic antifungal drugs for >7 consecutive days; 21 were receiving an echinocandin. C. kefyr (82%), and C. lusitaniae (21%) isolates frequently showed caspofungin MICs above the epidemiologic cutoff values. These findings support the need for institutional surveillance for uncommon Candida spp. among cancer patients.

Entities:  

Keywords:  C. dublinensis; C. famata; C. guilliermondii; C. kefyr; C. lusitaniae; Candida; Houston; Texas; USA; antimicrobial drugs; cancer; candidemia; caspofungin; echinocandins; fungi; non-albicans

Mesh:

Substances:

Year:  2015        PMID: 26488845      PMCID: PMC4625381          DOI: 10.3201/eid2111.150404

Source DB:  PubMed          Journal:  Emerg Infect Dis        ISSN: 1080-6040            Impact factor:   6.883


Despite the widespread use of antifungal prophylaxis and the introduction of new antifungal agents, the incidence of candidemia and associated mortality rates among patients with cancer remain relatively unchanged (). In previous studies (–), >90% of all Candida-associated invasive fungal infections were caused by 1 of 5 Candida spp.: C. albicans, C. glabrata, C. parapsilosis, C. tropicalis, or C. krusei. However, the use of antifungal drugs such as azoles for prophylaxis and echinocandins that are being used more frequently among high-risk populations have been associated with a continuous shift from C. albicans to various non-albicans Candida spp. during the past 2 decades (,–). Moreover, uncommon Candida spp. have emerged as causes of nosocomial bloodstream infections (BSIs) in studies of specific Candida spp. Those isolates commonly exhibit decreased in vitro susceptibility to antifungal agents (–). The epidemiology and clinical features of many uncommon Candida spp. BSIs have not been well characterized. To that end, we evaluated the epidemiologic characteristics, susceptibility patterns, and factors associated with all-cause death among cancer patients who had uncommon Candida spp. BSIs. We also determined whether the increasing frequency of uncommon Candida spp. BSIs in the study cohort correlated with the increased use of specific antifungal agents.

Patients and Methods

Isolates

In this retrospective study, we examined the clinical microbiology database at the University of Texas MD Anderson Cancer Center (Houston, Texas, USA) to identify blood cultures that were positive for Candida spp. from patients ≥18 years of age during January 1998–September 2013. Candida isolates were grown on Sabouraud dextrose medium (37°C/48 h/200 rpm) and then phenotypically identified by using CHROMagar Candida medium (CHROMagar Company, Paris, France) and VITEK-2 YST (bioMérieux, Marcy l’Etoile, France). The identification methods were not changed during the study period. We excluded unidentified Candida spp. For our analyses, we selected only the first isolate recovered from blood if a patient had several blood cultures drawn that were positive for the same uncommon Candida spp. Antifungal susceptibility was tested by using the Clinical Laboratory Standards Institute broth microdilution reference method (). The MIC for caspofungin was tested after March 2005 in the center. For uncommon Candida spp., other than for C. guilliermondii, clinical breakpoints are undefined; therefore, isolates that showed MICs higher than the epidemiologic cutoff value (ECV) were considered potentially resistant (). There was no ECV for C. famata; therefore, those isolates were excluded from susceptibility comparisons.

Data Collection

We retrospectively reviewed the electronic medical records of patients to obtain demographic, clinical, and laboratory data on the day of blood culture collection (Table 1); we also determined 28-day, all-cause mortality rates using a standardized electronic data collection form. Only first episodes of uncommon Candida spp. BSIs per patient were included in survival analyses. The study and a waiver of informed consent for anonymous data collection were approved by the Institutional Review Board of the MD Anderson Cancer Center.
Table 1

Characteristics of 68 cancer patients with candidemia caused by uncommon Candida species, Houston, Texas, USA*

Parameter
Result
Median age, y (range)54 (19–82)
Male sex, no. (%)
39 (57)
Malignancy, no. (%)
Leukemia42 (62)
Lymphoma/multiple myeloma9 (13)
Solid tumor
17 (25)
Charlson Comorbidity Index, median (range)5 (2–10)
APACHE II score, median (range)18 (3–39)
≥19, no. (%)27 (40)
<19, no (%)
41 (60)
Intraabdominal source,† no. (%)37 (54)
Central venous catheter, no. (%)
65 (96)
Corticosteroid-based treatment within 30 d before the day of blood culture collection, no. (%)
29 (43)
Chemotherapy within 30 d before the day of blood culture collection, no. (%)
51 (75)
HSCT, no. (%)18 (27)
GVHD, no. (%)10 (15)
TPN, no. (%)12 (18)
Hemodialysis, no. (%)10 (15)
ICU stay, no. (%)35 (52)
Intubation, no. (%)
11 (16)
Neutropenia at onset, no. (%)
ANC <500/μL44 (65)
ANC <100/μL
40 (59)
Duration of neutropenia (<500/μL) before the day of blood culture collection, no. (%)
1–14 d22/44 (50)
15–28 d8/44 (18)
>28 d14/44 (32)

*Characteristics were recorded on the day of blood culture collection, unless otherwise specified. APACHE II, Acute Physiology and Chronic Health Evaluation II; HSCT, hematopoietic stem cell transplant; GVHD, graft-versus-host diseases; TPN, total parenteral nutrition; ICU, intensive care unit; ANC, absolute neutrophil count.
†Intraabdominal source was defined as cases of abdominal surgery, gastrointestinal GVHD, peritonitis, cholecystitis, and cholangitis.

*Characteristics were recorded on the day of blood culture collection, unless otherwise specified. APACHE II, Acute Physiology and Chronic Health Evaluation II; HSCT, hematopoietic stem cell transplant; GVHD, graft-versus-host diseases; TPN, total parenteral nutrition; ICU, intensive care unit; ANC, absolute neutrophil count.
†Intraabdominal source was defined as cases of abdominal surgery, gastrointestinal GVHD, peritonitis, cholecystitis, and cholangitis.

Definitions

An episode of candidemia was defined as signs or symptoms of infection and >1 blood culture that was positive for Candida spp. Episodes were considered to be separate if they occurred ≥1 month apart. Breakthrough candidemia was defined as candidemia in a patient who had undergone therapy or prophylaxis with any systemic antifungal drug for >7 consecutive days before the index blood culture (). Neutropenia was defined as an absolute neutrophil count (ANC) of <500/μL, with further stratification at <100. Persistent neutropenia was defined as an ANC of <500 for >7 days. Neutrophil recovery was defined as restoration of the ANC to >500 for >3 consecutive days (,). The source of candidemia was considered to be intraabdominal if the patient had undergone abdominal surgery or had gastrointestinal graft-versus-host disease, peritonitis, cholecystitis, or cholangitis. Catheter-related bloodstream infections were defined as described by Raad et al. () as 1) a colony count of blood obtained through the catheter hub that was >5-fold higher than that in blood obtained from a peripheral vein or 2) a catheter tip culture that was positive for Candida spp. The department of pharmacy provided defined daily doses according to the World Health Organization Anatomical Therapeutic Chemical classification system definition (http://www.whocc.no) for echinocandins, azoles, and amphotericin B (ampB) per 1,000 adult inpatient-days during the study period.

Statistical Analysis

We used descriptive statistics to summarize the demographic, clinical, and outcome variables and the in vitro susceptibility data. We compared percentages with the χ2 test or Fisher exact test if the expected numbers were <5 in >20% of all cells. Poisson regression and the Cochran-Armitage test were used for the trend analysis of the annual BSI incidence densities and the proportions of candidemia caused by uncommon Candida spp., respectively. We also compared BSI incidence densities for 2 time periods—1998–2005 and 2006–2013—using Poisson distribution and test-based methods. The correlation between the annual use of antifungals and time was evaluated by using the Spearman correlation. The associations between the incidence densities of uncommon Candida spp. BSIs and the annual use of antifungals (defined as daily doses per 1,000 patient-days) were evaluated by using Poisson regression. We used Cox regression analysis to identify factors that were significantly associated with death. Clinically relevant parameters in the univariate analyses (p<0.1) were included at model entry. The full model was reduced to a final model by using a stepwise elimination procedure. The proportional hazards assumption was tested graphically and by building time-dependent variables. Two-tailed p values <0.05 were considered statistically significant. All analyses were done by using SPSS statistical software version 21 (SPSS IBM, Armonk, NY, USA).

Results

Incidence Trends and Antifungal Use

We identified 1,395 blood cultures that were positive for Candida over the 16-year study period. We excluded 14 cultures that grew unspecified Candida spp. A total of 79 episodes of illness among 68 patients were caused by 5 uncommon Candida spp.: C. guilliermondii (n = 28, 41%), C. lusitaniae (n = 19, 28%), C. kefyr (n = 13, 19%), C. famata (n = 7, 10%), and C. dublinensis (n = 1, 1%). Patient demographic and clinical characteristics are shown in Table 1. Most patients had hematologic malignancies (n = 51, 75%). Of 44 patients who had low neutrophil counts, 40 were severely neutropenic (91%, ANC <100/μL). The overall incidence of uncommon Candida spp. BSIs and their proportion relative to all episodes of candidemia increased significantly during 1998–2013 (incidence density p<0.0001; proportion p = 0.001) (Figure 1). The overall incidence density of uncommon Candida spp. BSIs was 3.17 episodes per 100,000 inpatient days, which increased from 1.89 (1998–2005) to 4.2 (2006–2013; p = 0.0001). The overall proportion of uncommon Candida spp. relative to all episodes of candidemia was 5.7% and increased from 3.6% (1998–2005) to 7.2% (2006–2013; p = 0.0004). During 2006–2013, C. lusitaniae had the highest incidence density (1.45 episodes/100,000 inpatient days), followed by C. guilliermondii (1.16), C. kefyr (1.01), and C. famata (0.51). The incidence density of candidemia caused by C. lusitaniae (p = 0.013) and C. kefyr (p = 0.01) increased significantly during 2006–2013 compared with that during 1998–2005; the incidence density of C. guilliermondii BSIs did not increase, and C. famata BSIs showed a trend for increase (p = 0.068) (Figure 1).
Figure 1

Increasing A) incidence density and B) proportion relative to all episodes of candidemia for bloodstream infections caused by uncommon Candida species at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA, January 1998–September 2013. A) p<0.0001 and B) p = 0.001 for trend analyses. C) Incidence density of fungemia caused by uncommon Candida spp. during 1998–2005 compared with 2006–2013. There was a significant increase for C. lusitaniae (p<0.0001) and C. kefyr (p<0.0001) and a trend for increase for C. famata infections (p=0.068). C. guilliermondii infections remained stable.

Increasing A) incidence density and B) proportion relative to all episodes of candidemia for bloodstream infections caused by uncommon Candida species at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA, January 1998–September 2013. A) p<0.0001 and B) p = 0.001 for trend analyses. C) Incidence density of fungemia caused by uncommon Candida spp. during 1998–2005 compared with 2006–2013. There was a significant increase for C. lusitaniae (p<0.0001) and C. kefyr (p<0.0001) and a trend for increase for C. famata infections (p=0.068). C. guilliermondii infections remained stable. Echinocandins became available at the cancer center in 2001. The annual use of echinocandins increased significantly during 2001–2013 (Spearman r = 0.98; p<0.0001) (Figure 2), whereas annual azole and ampB use did not (data not shown). The increase in incidence density of uncommon Candida spp. BSIs was associated with the continuous increase in echinocandin use (p = 0.0062).
Figure 2

Increasing annual use of echinocandin antifungal drugs at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA, January 2001–September 2013. Spearman’s correlation coefficient r = 0.98, p<0.0001. DDD, defined daily doses.

Increasing annual use of echinocandin antifungal drugs at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA, January 2001–September 2013. Spearman’s correlation coefficient r = 0.98, p<0.0001. DDD, defined daily doses.

Breakthrough Fungemia

Fungemia was detected in samples from 37 of 68 patients (54%) while they were being treated with antifungal agents, specifically with echinocandins (n = 21, 57%), ampB (n = 9, 24%), azoles (n = 6, 16%), or antifungal combinations (n = 1, 3%) (Table 2). Among 6 patients who experienced breakthrough fungemia during treatment with caspofungin, susceptibility data was available for 5 isolates; none were susceptible to caspofungin (MICs 4, 8, 8, 8, and 16 μg/mL). The most common species that caused breakthrough fungemia were C. guilliermondii (16/37 patients, 43%), C. kefyr (8/37 patients, 22%), C. lusitaniae (7/37 patients, 19%), and C. famata (6/37 patients, 16%). Most patients with breakthrough infections had underlying leukemia (33/37, 89%), compared with 9/31 patients (29%) who had no breakthrough infections (p<0.001), and neutropenia (31/37, 84%), compared with 13/31 (42%) who had no breakthrough infections (p<0.001). In addition, more patients who had breakthrough candidemia (26/37, 74%) than de novo candidemia (9/31, 29%) were admitted to the intensive care unit (ICU) (p = 0.001). The crude 28-day mortality rate among patients with breakthrough fungemia was 76% (28/37) (Table 2) and was significantly higher than that for patients with de novo candidemia (12/29, 41%; p = 0.005); Information regarding 28-day survival was available for 29 of 31 patients with de novo candidemia.
Table 2

Characteristics of 37 cancer patients with breakthrough candidemia caused by uncommon Candida species, Houston, Texas, USA

ParameterPatients, no. (%)
Patients with leukemia33 (89)
Patients with lymphoma or multiple myeloma
3 (8)
Breakthrough infection while receiving
Amphotericin B9 (24)
Echinocandin21 (57)
Caspofungin6 (29)
Micafungin10 (48)
Anidulafungin5 (24)
Azole6 (16)
Fluconazole2 (33)
Voriconazole1 (17)
Itraconazole3 (50)
Combination*
1 (3)
Species causing breakthrough fungemia
C. guilliermondii 16 (43)
C. kefyr 8 (22)
C. lusitaniae 7 (19)
C. famata
6 (16)
Outcome of breakthrough fungemia
Dissemination†5 (14)
28-day crude mortality rate28 (76)

*Caspofungin and liposomal amphotericin B.
†Site of dissemination on autopsy: heart, lungs, and liver.

*Caspofungin and liposomal amphotericin B.
†Site of dissemination on autopsy: heart, lungs, and liver.

In Vitro Susceptibility

In vitro susceptibility results were available for 57 isolates (Table 3). C. guilliermondii strains exhibited high rates of azole MICs above ECVs (fluconazole, 17%; voriconazole and posaconazole, 24%; Table 3). The 2 species that commonly were positive for caspofungin MICs above ECVs were C. kefyr (82% vs. 17% among other species; p<0.001) and C. lusitaniae (21%) (Table 3). Caspofungin MIC clinical breakpoints have been proposed only for C. guilliermondii (); consequently, 13 C. guilliermondii isolates (87%) were susceptible to caspofungin (MIC <2 μg/mL), 1 was intermediate (MIC = 4 μg/mL), and 1 was resistant (MIC >8 μg/mL). One C. famata isolate had high caspofungin and fluconazole MICs (16 μg/mL for each). Even though ECVs for that species have not been defined, on the basis of ECV and clinical breakpoints for other Candida spp., that isolate could be considered azole/candin-nonsusceptible, making it multidrug resistant.
Table 3

Available susceptibility data for uncommon Candida isolates associated with fungemia among cancer patients, Houston, Texas, USA*

MedicationNo. (%) cases; ECV, μg/mL
C. guilliermondii, n = 24 (41%)†C. lusitaniae, n = 19 (28%)†C. kefyr, n = 13 (19%)†C. famata, n = 0 (10%)†C. dubliniensis, n = 1 (1%)†
Amphotericin B
No.‡24191371
Wild type24 (100); ≤219 (100); ≤2NENE0; ≤2
Non–wild type0; >20; >2NENE1 (100); >2
Fluconazole
No. 24191371
Wild type20 (83); ≤816 (84); ≤212 (92); ≤1NE1 (100); ≤0.5
Non–wild type4 (17); >83 (16); >21 (8); >1NE0; >0.5
Voriconazole
No. 17141271
Wild type13 (76); ≤0.2513 (93); ≤0.0310 (83); ≤0.015NE1 (100); ≤0.03
Non–wild type4 (24); >0.251 (7); >0.032 (17); >0.015NE0; >0.03
Itraconazole
No.24191371
Wild type21 (88); ≤119 (100); ≤0.5NENE1 (100); ≤0.25
Non–wild type3 (12); >10; >0.5NENE0; >0.25
Posaconazole
No.17141271
Wild type13 (76); ≤0.512 (86); ≤0.1211 (92); ≤0.25NE1 (100); ≤0.12
Non–wild type4 (24); >0.52 (14); >0.121 (8); >0.25NE0; >0.12
Caspofungin
No.15141171
Wild type13 (87); ≤211 (79); ≤12 (18); ≤0.03NE1 (100); ≤0.12
Non–wild type2 (13); >2‡3 (21); >19 (82); >0.03NE0; >0.12

*Data were available for 57 of 68 isolates (24/28 C. guilliermondii, 0/7 C. famata). ECV, epidemiologic cutoff value (); NE, not evaluable for susceptibility isolates because there are no defined ECVs for that species.
†Numbers shown are number of isolates evaluable for susceptibility; percentages are percentage of isolates among all isolates. 
‡Results were the same by using a clinical breakpoint (MIC >1) or ECV.

*Data were available for 57 of 68 isolates (24/28 C. guilliermondii, 0/7 C. famata). ECV, epidemiologic cutoff value (); NE, not evaluable for susceptibility isolates because there are no defined ECVs for that species.
†Numbers shown are number of isolates evaluable for susceptibility; percentages are percentage of isolates among all isolates. 
‡Results were the same by using a clinical breakpoint (MIC >1) or ECV.

All-Cause Mortality

The all-cause 28-day mortality rate among this study cohort was 61% (40/66) (Table 4) and was positively associated with underlying leukemia, steroid exposure, ICU stay on the day candidemia was suspected and tested for, intubation, persistent neutropenia, high APACHE II scores (>19), hypoalbuminemia, and breakthrough fungemia (Table 5). We found no statistically significant association between all-cause deaths and specific Candida spp. or central venous catheter removal. In the multivariate Cox regression analysis, an ICU stay (adjusted hazard ratio [aHR] 4, 95% CI 1.8–9.05), persistent neutropenia (aHR 3, 95% CI 1.52–6.05), and a high APACHE II score (>19; aHR 2.8, 95% CI 1.39–5.78) were independently associated with the 28-day all-cause mortality rate (Table 5).
Table 4

Treatment and outcome of 68 cancer patients with candidemia caused by uncommon Candida species, Houston, Texas, USA*

ParameterValue
Antifungal treatment66 (97)
Amphotericin B–based regimen5 (8)
Echinocandin-based regimen13 (20)
Azole-based monotherapy12 (18)
Combination antifungal treatment
36 (55)
Median duration of treatment, d (range)
16 (0–76)
Catheter-related infection17 (25)
C. guilliermondii 6 (35)
C. lusitaniae 7 (41)
C. famata 2 (12)
C. kefyr
2 (12)
Central venous catheter removal, no. patients/no. in category (%)41/65 (63)
Median time to central venous catheter removal, d (range)
3 (0–21)
Resolution of neutropenia, no. patients/no. in category (%)15/44 (34)
Persistent neutropenia† 24 (35)
Growth factors42 (62)
Leukocyte transfusion5 (7)
Abscess drainage3 (4)
Crude mortality rate at 28 d
40 (61)
Mortality rate by Candida spp.,‡ no. patients/no. in category (%)
C. guilliermondii 16/27 (59)
C. lusitaniae 10/19 (53)
C. kefyr 10/13 (77)
C. famata 4/7 (57)

*Values are no. (%) patients except as indicated.
†Persistent neutropenia was defined as an absolute neutrophil count of <500/mcL for ≥7days.
‡No available data for C. dubliniensis.

Table 5

Factors associated with 28-day crude mortality rate among cancer patients with candidemia caused by uncommon Candida species, Houston, Texas, USA*

VariableUnivariate analysis
Multivariate analysis
Hazard ratio (95% CI)p valueAdjusted hazard ratio (95% CI)p value
Underlying leukemia7.6 (2.47–23.14)<0.001NR
Steroid exposure3.0 (1.03–8.71)0.040NR
ICU admission26.4 (6.42–108.55)<0.0014.0 (1.8–9.05)0.001
Intubation8.3 (1–69.64)0.040NR
Total parenteral nutrition4.0 (0.80–20.020.105NR
Persistent neutropenia†30.6 (3.77–247.93)<0.0013.0 (1.52–6.05)0.002
APACHE II score ≥1912.8 (3.27–49.93)<0.0012.8 (1.39–5.78)0.004
Hypoalbuminemia‡3.5 (1.10–11.45)0.030NR
Breakthrough fungemia4.4 (1.53–12.64)0.005NR

*NR, not retained in the multivariate analysis model; APACHE II, Acute Physiology and Chronic Health Evaluation II.
†Persistent neutropenia was defined as an absolute neutrophil count of <500/μL for ≥7 days.
‡Serum albumin level <3.0 g/dL.

*Values are no. (%) patients except as indicated.
†Persistent neutropenia was defined as an absolute neutrophil count of <500/mcL for ≥7days.
‡No available data for C. dubliniensis. *NR, not retained in the multivariate analysis model; APACHE II, Acute Physiology and Chronic Health Evaluation II.
†Persistent neutropenia was defined as an absolute neutrophil count of <500/μL for ≥7 days.
‡Serum albumin level <3.0 g/dL.

Discussion

Comprehensive population-based registries of candidemia surveillance have documented the shift from human infections with C. albicans to non-albicans species over the past 2 decades (,,). However, institutional surveillance is equally essential. For example, higher rates of echinocandin resistance are reported from oncology and transplantation centers in the United States (–) compared with population-based cohorts (). At the MD Anderson Cancer Center hospital, the incidence of BSIs caused by uncommon Candida spp. and the proportion of those cases relative to all candidemia cases more than doubled during the past 16 years. Uncommon Candida spp. were frequently nonsusceptible to azoles and echinocandins and were commonly associated with breakthrough infections and high mortality rates. Notably, the incidence density for BSIs caused by uncommon Candida spp. was positively associated with the annual use of echinocandins. Uncommon Candida spp. distributions vary by geographic region, patient population, and antifungal practices. In general, reported frequencies have been <10% among all Candida isolates (,,,), which is similar to the proportion of uncommon Candida spp. among all Candida BSIs (3.6%) during the first period of our study (1998–2005) and to that (3.3%) found in another study of cancer patients during 2009–2012 (). Nevertheless, the proportion of uncommon Candida spp. BSIs relative to all episodes of candidemia in the MD Anderson Cancer Center hospital increased over the years, accounting for 12% of all Candida BSIs reported during 2013 (Figure 1), which is among the highest proportions reported to date. This striking difference reflects a severely immunocompromised patient population: 75% had hematologic malignancies, compared with 10.7% in the study by Tang et al (). However, the most crucial determinant of this marked increase in uncommon Candida BSIs is likely the broad use of echinocandins. For example, in the study by Tang et al. (), 88.8% of cancer patients with candidemia had previously received fluconazole and <2% had received an echinocandin; the opposite was true in our cohort, where almost one third of patients with uncommon Candida spp. fungemia had breakthrough infections while being treated with an echinocandin. Moreover, the incidence density of the uncommon Candida spp. BSIs in our study was positively associated with the increase in treatment with echinocandins. In previous reports, C. guilliermondii was one of the most commonly isolated uncommon Candida spp. among patients with cancer (,,); C. dubliniensis was common in the outpatient setting (). Nevertheless, in our study, during the years 2006–2013, C. guilliermondii was not the most common isolate, and the incidence of C. guilliermondii fungemia did not increase substantially over the study period (Figure 2). This finding is in agreement with another study, wherein the increased use of echinocandins was not associated with an increase in the incidence of C. guilliermondii fungemia (). The increase in the incidence of C. kefyr, predominantly among patients with hematologic malignancies, is in agreement with the results of another recent report (), in which the increase was also attributed to the increasing use of the echinocandin drug micafungin. Taken together, those findings highlight the need, at an institutional level, to systematically monitor changes in Candida spp. distribution and the association with the selective pressure from antifungals. The clinical features and outcomes of breakthrough candidemia with uncommon Candida spp. have not been well described. In our study, more than half of all patients with fungemia caused by uncommon Candida spp., and 36 of 51 patients who had hematologic malignancies (70%), had breakthrough infections. On the contrary, in a 1993–1998 candidemia study at our institution in which uncommon Candida spp. were excluded, ≈25% of all patients, and 46% of those with hematologic malignancies, had breakthrough infections (). Nevertheless, the percentage of breakthrough infections among all Candida spp. BSIs (53%) in a more recent report () was almost identical to that in this study of fungemia caused by uncommon Candida spp. (54%). Those differences are further reflective of the changing epidemiologic characteristics of candidemia and the unique features of uncommon Candida spp. breakthrough infections, which seem to affect a more compromised patient population. A direct comparison between common and uncommon Candida spp. was beyond the scope of this study, but in another report, among candidemic patients with acute leukemia, we observed a trend for higher mortality rates with the same uncommon Candida spp. infections on univariate analysis, but not on multivariate analysis (). The only independent predictors of death in the study described here were ICU stay, persistent neutropenia, and high APACHE II score (Table 5), confirming that host characteristics are the most powerful predictors of response and should be adequately adjusted for in studies of candidemia outcomes. We used the ECV to characterize uncommon Candida spp. bloodstream isolates as susceptible or potentially resistant, according to the updated Clinical and Laboratory Standards Institute/EUCAST definitions (). C. guilliermondii strains exhibited high rates of azole resistance (Table 3), in agreement with the results of previous reports (,,). However, echinocandin resistance among C. guilliermondii bloodstream isolates in our study was uncommon (a MIC >1 mg/L was observed for only 13% of isolates); in contrast, Girmenia et al. reported that a caspofungin MIC >1 mg/L was observed for 67% of C. guilliermondii strains (). Moreover, the incidence of C. guilliermondii BSIs remained stable during the 16 years of our study (Figure 1) and was not substantially associated with echinocandin use. On the contrary, the most common species with caspofungin MICs above ECV was C. kefyr (82%); the incidence density for the species increased substantially over time (Figure 1) and was positively associated with the annual use of echinocandins (p = 0.004), but not azoles or ampB. Dufresne et al. () recently reported a similar rate (88%) of micafungin resistance (MIC >0.12 mg/L) in C. kefyr bloodstream isolates in patients with hematologic malignancies, possibly associated with institutional use of micafungin. Our study has limitations that should be taken into consideration. First, it was a retrospective study from a single cancer center with a small number of episodes caused by individual uncommon Candida spp.; therefore, our observations might not be applicable to different patient groups at risk for uncommon Candida spp. BSIs. Second, uncommon Candida spp. were identified phenotypically, and it is possible that during the study period, some C. dublinensis isolates were identified as C. albicans, underestimating the frequency of that species. It should also be noted that with the introduction of molecular identification, the taxonomy of the Candida genus is in a state of change (). The recent implementation of internal transcriber section sequencing (http://www.cbs.knaw.nl/databases, http://www.ncbi.nlm.nih.gov/genbank) and matrix-assisted laser desorption/ionization in mass spectrometry for Candida spp. identification are expected to further advance understanding of the epidemiology and clinical course of serious infections with uncommon Candida spp. Third, we used in vitro caspofungin MIC alone to define echinocandin resistance, using no data on DNA mutations. However, there is evidence that caspofungin MIC interlaboratory variability may lead to incorrect categorization of susceptibility results (), and micafungin and anidulafungin MICs correlate better with the presence of FKS mutations and clinical outcomes (). Resistance to echinocandins emerges as a result of treatment and has been associated with mutations in FKS 1/2 genes, which encode the target enzyme for this specific class of antifungals, β-D-glucan synthase (,,). In agreement with what we know about more common Candida spp., investigators have recently identified novel and established FKS1 gene mutations in C. kefyr clinical isolates that are associated with in vitro echinocandin resistance (,). Still, the spectrum of mutations that predispose patients to antifungal resistance, the role of epigenetic mechanisms, and the virulence of nonsusceptible, uncommon Candida strains (compared with wild-type) remain unknown at present. Therefore, some experts propose the concept of “clinical resistance,” which is a composite of factors related to the host, pathogen, and specific antifungal agent (). In summary, we observed a marked increase in the frequency of BSIs caused by uncommon Candida spp. in a contemporary series of patients with malignancies; those species were often associated with breakthrough infections and high mortality rates. The positive correlation between the increasing incidence of uncommon, potentially resistant Candida bloodstream isolates and the increasing use of echinocandins underscores the need for institutional surveillance and the rational use of antifungal drugs in cancer patients.
  37 in total

1.  The ever-evolving landscape of candidaemia in patients with acute leukaemia: non-susceptibility to caspofungin and multidrug resistance are associated with increased mortality.

Authors:  Emily Wang; Dimitrios Farmakiotis; Daisy Yang; Deborah A McCue; Hagop M Kantarjian; Dimitrios P Kontoyiannis; Michael S Mathisen
Journal:  J Antimicrob Chemother       Date:  2015-04-07       Impact factor: 5.790

2.  A prospective, cohort, multicentre study of candidaemia in hospitalized adult patients with haematological malignancies.

Authors:  M N Gamaletsou; T J Walsh; T Zaoutis; M Pagoni; M Kotsopoulou; M Voulgarelis; P Panayiotidis; T Vassilakopoulos; M K Angelopoulou; M Marangos; A Spyridonidis; D Kofteridis; A Pouli; D Sotiropoulos; P Matsouka; A Argyropoulou; S Perloretzou; K Leckerman; A Manaka; P Oikonomopoulos; G Daikos; G Petrikkos; N V Sipsas
Journal:  Clin Microbiol Infect       Date:  2013-07-24       Impact factor: 8.067

3.  Target enzyme mutations confer differential echinocandin susceptibilities in Candida kefyr.

Authors:  Janet F Staab; Dionysios Neofytos; Peter Rhee; Cristina Jiménez-Ortigosa; Sean X Zhang; David S Perlin; Kieren A Marr
Journal:  Antimicrob Agents Chemother       Date:  2014-06-30       Impact factor: 5.191

4.  Emergence of echinocandin-resistant Candida spp. in a hospital setting: a consequence of 10 years of increasing use of antifungal therapy?

Authors:  A Fekkar; E Dannaoui; I Meyer; S Imbert; J Y Brossas; M Uzunov; G Mellon; S Nguyen; E Guiller; E Caumes; V Leblond; D Mazier; M H Fievet; A Datry
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2014-04-09       Impact factor: 3.267

5.  Candidemia in allogeneic blood and marrow transplant recipients: evolution of risk factors after the adoption of prophylactic fluconazole.

Authors:  K A Marr; K Seidel; T C White; R A Bowden
Journal:  J Infect Dis       Date:  2000-01       Impact factor: 5.226

6.  Anidulafungin and micafungin MIC breakpoints are superior to that of caspofungin for identifying FKS mutant Candida glabrata strains and Echinocandin resistance.

Authors:  Ryan K Shields; M Hong Nguyen; Ellen G Press; Cassaundra L Updike; Cornelius J Clancy
Journal:  Antimicrob Agents Chemother       Date:  2013-09-23       Impact factor: 5.191

Review 7.  Echinocandin resistance: an emerging clinical problem?

Authors:  Maiken C Arendrup; David S Perlin
Journal:  Curr Opin Infect Dis       Date:  2014-12       Impact factor: 4.915

8.  Epidemiology and prognostic factors of candidemia in cancer patients.

Authors:  Hung-Jen Tang; Wei-Lun Liu; Hsin-Lan Lin; Chih-Cheng Lai
Journal:  PLoS One       Date:  2014-06-05       Impact factor: 3.240

9.  Epidemiology and outcomes of invasive candidiasis due to non-albicans species of Candida in 2,496 patients: data from the Prospective Antifungal Therapy (PATH) registry 2004-2008.

Authors:  Michael A Pfaller; David R Andes; Daniel J Diekema; David L Horn; Annette C Reboli; Coleman Rotstein; Billy Franks; Nkechi E Azie
Journal:  PLoS One       Date:  2014-07-03       Impact factor: 3.240

10.  Drug-resistant Candida glabrata infection in cancer patients.

Authors:  Dimitrios Farmakiotis; Jeffrey J Tarrand; Dimitrios P Kontoyiannis
Journal:  Emerg Infect Dis       Date:  2014-11       Impact factor: 6.883

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  33 in total

Review 1.  Antifungal stewardship considerations for adults and pediatrics.

Authors:  Rana F Hamdy; Theoklis E Zaoutis; Susan K Seo
Journal:  Virulence       Date:  2016-09-02       Impact factor: 5.882

2.  How I transplant a patient with a history of invasive fungal disease.

Authors:  Pedro Puerta-Alcalde; Richard Champlin; Dimitrios P Kontoyiannis
Journal:  Blood       Date:  2020-08-26       Impact factor: 22.113

3.  Fluconazole Resistance in Isolates of Uncommon Pathogenic Yeast Species from the United Kingdom.

Authors:  Andrew M Borman; Julian Muller; Jo Walsh-Quantick; Adrien Szekely; Zoe Patterson; Michael D Palmer; Mark Fraser; Elizabeth M Johnson
Journal:  Antimicrob Agents Chemother       Date:  2019-07-25       Impact factor: 5.191

4.  Killing Activity of Micafungin Against Candida albicans, C. dubliniensis and Candida africana in the Presence of Human Serum.

Authors:  Renátó Kovács; Qasem Saleh; Aliz Bozó; Zoltán Tóth; Rudolf Gesztelyi; Tamás Kardos; Gábor Kardos; István Takacs; László Majoros
Journal:  Mycopathologia       Date:  2017-07-11       Impact factor: 2.574

5.  Micafungin Breakthrough Fungemia in Patients with Hematological Disorders.

Authors:  Muneyoshi Kimura; Hideki Araoka; Hisashi Yamamoto; Shigeki Nakamura; Minoru Nagi; Satoshi Yamagoe; Yoshitsugu Miyazaki; Sho Ogura; Takashi Mitsuki; Mitsuhiro Yuasa; Daisuke Kaji; Kosei Kageyama; Aya Nishida; Yuki Taya; Hiroshi Shimazu; Kazuya Ishiwata; Shinsuke Takagi; Go Yamamoto; Yuki Asano-Mori; Naoyuki Uchida; Atsushi Wake; Shuichi Taniguchi; Akiko Yoneyama
Journal:  Antimicrob Agents Chemother       Date:  2018-04-26       Impact factor: 5.191

Review 6.  Diagnosing Invasive Candidiasis.

Authors:  Cornelius J Clancy; M Hong Nguyen
Journal:  J Clin Microbiol       Date:  2018-04-25       Impact factor: 5.948

7.  How I perform hematopoietic stem cell transplantation on patients with a history of invasive fungal disease.

Authors:  Pedro Puerta-Alcalde; Richard E Champlin; Dimitrios P Kontoyiannis
Journal:  Blood       Date:  2020-12-10       Impact factor: 22.113

8.  Expect the unexpected: fungemia caused by uncommon Candida species in a Turkish University Hospital.

Authors:  Sehnaz Alp; Dolunay Gulmez; Rıza Can Kardas; Gizem Karahan; Zahit Tas; Gamze Gursoy; Caglayan Merve Ayaz-Ceylan; Sevtap Arikan-Akdagli; Murat Akova
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2021-01-26       Impact factor: 3.267

Review 9.  Core Recommendations for Antifungal Stewardship: A Statement of the Mycoses Study Group Education and Research Consortium.

Authors:  Melissa D Johnson; Russell E Lewis; Elizabeth S Dodds Ashley; Luis Ostrosky-Zeichner; Theoklis Zaoutis; George R Thompson; David R Andes; Thomas J Walsh; Peter G Pappas; Oliver A Cornely; John R Perfect; Dimitrios P Kontoyiannis
Journal:  J Infect Dis       Date:  2020-08-05       Impact factor: 5.226

10.  Etest ECVs/ECOFFs for Detection of Resistance in Prevalent and Three Nonprevalent Candida spp. to Triazoles and Amphotericin B and Aspergillus spp. to Caspofungin: Further Assessment of Modal Variability.

Authors:  A Espinel-Ingroff; M Sasso; J Turnidge; M Arendrup; F Botterel; N Bourgeois; B Bouteille; E Canton; S Cassaing; E Dannaoui; M Dehais; L Delhaes; D Dupont; A Fekkar; J Fuller; G Garcia-Effron; J Garcia; G M Gonzalez; N P Govender; H Guegan; J Guinea; S Houzé; C Lass-Flörl; T Pelaez; A Forastiero; M Lackner; R Magobo
Journal:  Antimicrob Agents Chemother       Date:  2021-08-09       Impact factor: 5.191

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