Uncommon Candida species fungemia among cancer patients, Houston, Texas, USA.
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
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 [greater than or equal to] 18 years of age during January 1998-September 2013. Candida isolates were grown on Sabouraud dextrose medium (37[degrees]C/48 h/200 rpm) and then phenotypically identified by using CHROMagar Candida medium (CHROMagar Company, Paris, France) and VITEK-2 YST (bioMerieux, 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 (16). 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 (17). There was no ECV for C. famata; therefore, those isolates were excluded from susceptibility comparisons.
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.
An episode of candidemia was defined as signs or symptoms of infection and [greater than or equal to] 1 blood culture that was positive for Candida spp. Episodes were considered to be separate if they occurred [greater than or equal to] 1 month apart. Breakthrough candidemia was defined as candidemia in a patient who had undergone therapy or prophylaxis with any systemic antifungal drug for [greater than or equal to] 7 consecutive days before the index blood culture (18).
Neutropenia was defined as an absolute neutrophil count (ANC) of < 500/mL, with further stratification at < 100. Persistent neutropenia was defined as an ANC of < 500 for [greater than or equal to] 7 days. Neutrophil recovery was defined as restoration of the ANC to [greater than or equal to] 500 for [greater than or equal to] 3 consecutive days (18,19). 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. (20) as 1) a colony count of blood obtained through the catheter hub that was [greater than or equal to] 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.
We used descriptive statistics to summarize the demographic, clinical, and outcome variables and the in vitro susceptibility data. We compared percentages with the [chi square] 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).
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/mL).
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).
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).
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 g.g/ 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.
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 (17); consequently, 13 C. guilliermondii isolates (87%) were susceptible to caspofungin (MIC [less than or equal to] 2 qg/mL), 1 was intermediate (MIC = 4 qg/mL), and 1 was resistant (MIC [greater than or equal to] 8 [micro]g/mL). One C. famata isolate had high caspofungin and fluconazole MICs (16 qg/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/candinnonsusceptible, making it multidrug resistant.
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 ([greater than or equal to] 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 ([greater than or equal to] 19; aHR 2.8, 95% CI 1.39-5.78) were independently associated with the 28-day all-cause mortality rate (Table 5).
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 (4,21,22). However, institutional surveillance is equally essential. For example, higher rates of echinocandin resistance are reported from oncology and transplantation centers in the United States (23--25) compared with population-based cohorts (4). 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 (21,22,26,27), 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 (28). 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 (28). 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. (28), 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 (9,13,29); C. dubliniensis was common in the outpatient setting (27). 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 (30). The increase in the incidence of C. kefyr, predominantly among patients with hematologic malignancies, is in agreement with the results of another recent report (12), 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, [approximately equal to] 25% of all patients, and 46% of those with hematologic malignancies, had breakthrough infections (31). Nevertheless, the percentage of breakthrough infections among all Candida spp. BSIs (53%) in a more recent report (32) 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 (25). 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 (17). C. guilliermondii strains exhibited high rates of azole resistance (Table 3), in agreement with the results of previous reports (13,33,34). 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 (13). 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. (12) 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 (35). 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 (36), and micafungin and anidulafungin MICs correlate better with the presence of FKS mutations and clinical outcomes (37). 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, b-D-glucan synthase (24,38,39). 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 (35,39). 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 (38).
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.
Upon completion of this activity, participants will be able to:
* Distinguish the most prevalent uncommon Candida infection in the current study
* Evaluate trends in bloodstream infections with uncommon Candida infections
* Describe the phenomenon of breakthrough fungemia
* Determine variables associated with a higher risk for mortality among patients with candidemia
Jean Michaels Jones, Technical Writer/Editor, Emerging Infectious Diseases. Disclosure: Jean Michaels Jones has disclosed no relevant financial relationships.
Charles P. Vega, MD, Clinical Professor of Family Medicine, University of California, Irvine. Disclosure: Charles P. Vega, MD, has disclosed the following financial relationships: served as an advisor or consultant for Lundbeck, Inc.; McNeil Pharmaceuticals; Takeda Pharmaceuticals North America, Inc.
Disclosures: Dong Sik Jung, MD; Dimitrios Farmakiotis, MD; Ying Jiang, MS; and Jeffrey J. Tarrand, MD, have disclosed no relevant financial relationships. Dimitrios P. Kontoyiannis, MD, ScD, has disclosed the following relevant financial relationships: served as an advisor or consultant for Merck & Co, Inc., Astellas Pharma US; served as a speaker or a member of a speakers bureau for Merck & Co, Inc., Astellas Pharma US, Gilead Sciences, Inc.; received grants for clinical research from Merck & Co, Inc., Astellas Pharma US, Pfizer.
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1. You are seeing a neutropenic 65-year-old woman admitted to the hospital for fever while receiving chemotherapy for acute lymphocytic leukemia. Her initial blood culture results demonstrate growth of a Candida species. Which of the following Candida species was most prevalent among uncommon Candida species causing bloodstream infections in the current study?
A. C. famata
B. C. dubliniensis
C. C. lusitaniae
D. C. guilliermondii
2. Which of the following trends was noted among cases of uncommon Candida bloodstream infections in the current study?
A. A minority of patients had hematologic malignant diseases
B. The proportion of cases of candidemia resulting from uncommon Candida species increased from 1998 to 2013
C. The incidence of infection with C. guilliermondii increased more than any other species from 2006 to 2013
D. There was no relationship between infections with uncommon Candida species and the use of echinocandins
3. The patient had been treated with an echinocandin as prophylaxis. Which of the following statements regarding breakthrough fungemia in the current study is most accurate?
A. Fungemia was very rare among patients treated with antifungal prophylaxis
B. Most cases of breakthrough fungemia were among patients taking an azole
C. The most common species causing breakthrough fungemia was C. lusitaniae
D. Breakthrough fungemia was associated with higher rates of admission to the intensive care unit and higher mortality rates
4. The patient experiences severe complications associated with this infection. Which of the following variables is most significant as a risk factor for 28-day mortality in the current study?
A. Persistent neutropenia
B. Age older than 60 years
C. Infection with C. guilliermondii in particular
D. Failure to remove a central venous catheter
Activity Evaluation 1. The activity supported the learning objectives. Strongly Strongly Disagree Agree 1 2 3 4 5 2. The material was organized clearly for learning to occur. Strongly Strongly Disagree Agree 1 2 3 4 5 3. The content learned from this activity will impact my practice. Strongly Strongly Disagree Agree 1 2 3 4 5 4. The activity was presented objectively and free of commercial bias. Strongly Strongly Disagree Agree 1 2 3 4 5
Author affiliations: Dong-A University College of Medicine, Busan, South Korea (D.S. Jung); The University of Texas MD Anderson Cancer Center, Houston, Texas, USA (D.S. Jung, D. Farmakiotis, Y. Jiang, J.J. Tarrand, D.P. Kontoyiannis); Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, Massachusetts, USA (D. Farmakiotis)
We thank Cai Wu for providing information for annual use of antifungal agents.
D.P.K. dedicates this article to the loving memory of his twin brother, who recently succumbed to cancer.
D.P.K. is the Frances King Black Endowed Professor for Cancer Research and has received research support and honoraria from Pfizer; Astellas. Pharma US; Gilead Sciences, Inc.; and Merck & Co., Inc. All other authors report no potential conflicts.
Dr. Jung was a visiting professor at the Departments of Infectious Diseases, Infection Control and Employee Health, the University of Texas MD Anderson Cancer Center, at the time of this study. He is currently an associate professor and infectious disease physician at the Dong-A University Hospital. His research interests are fungal infections in immunocompromised patients with cancer and transplant recipients.
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Address for correspondence: Dimitrios P. Kontoyiannis, T. Boone Pickens Academic Tower, FCT12.5070, 1515 Holcombe Blvd, Houston, TX 77030-4095, USA; email: email@example.com
Dong Sik Jung,  Dimitrios Farmakiotis, [1,2] Ying Jiang, Jeffrey J. Tarrand, Dimitrios P. Kontoyiannis
 These authors contributed equally to this article.
 Current affiliation: Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA.
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. (%) Leukemia 42 (62) Lymphoma/multiple myeloma 9 (13) Solid tumor 17 (25) Charlson Comorbidity Index, median (range) 5 (2-10) APACHE II score, median (range) 18 (3-39) [greater than or equal to] 19, no. (%) 27 (40) <19, no (%) 41 (60) Intraabdominal source, ([dagger]) no. (%) 37 (54) Central venous catheter, no. (%) 65 (96) Corticosteroid-based treatment within 30 d before 29 (43) the day of blood culture collection, no. (%) Chemotherapy within 30 d before the day of blood 51 (75) culture collection, no. (%) 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/[micro]L 44 (65) ANC <100/[micro]L 40 (59) Duration of neutropenia (<500/[micro]L) before the day of blood culture collection, no. (%) 1-14 d 22/44 (50) 15-28d 8/44 (18) >28 d 14/44 (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. ([dagger]) Intraabdominal source was defined as cases of abdominal surgery, gastrointestinal GVHD, peritonitis, cholecystitis, and cholangitis. Table 2. Characteristics of 37 cancer patients with breakthrough candidemia caused by uncommon Candida species, Houston, Texas, USA Parameter Patients, no. (%) Patients with leukemia 33 (89) Patients with lymphoma or multiple myeloma 3 (8) Breakthrough infection while receiving Amphotericin B 9 (24) Echinocandin 21 (57) Caspofungin 6 (29) Micafungin 10 (48) Anidulafungin 5 (24) Azole 6 (16) Fluconazole 2 (33) Voriconazole 1 (17) Itraconazole 3 (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 ([dagger]) 5 (14) 28-day crude mortality rate 28 (76) * Caspofungin and liposomal amphotericin B. ([dagger]) Site of dissemination on autopsy: heart, lungs, and liver. Table 3. Available susceptibility data for uncommon Candida isolates associated with fungemia among cancer patients, Houston, Texas, USA * Medication No. (%) cases; ECV, [micro]g/mL C. guilliermondii, C. lusitaniae, n = 24 n = 19 (41%) ([dagger]) (28%) ([dagger]) Amphotericin B No. ([double 24 19 dagger]) Wild type 24 (100); [less 19 (100); than or [less than or equal to] 2 equal to] 2 Non-wild type 0; >2 0; >2 Fluconazole No. 24 19 Wild type 20 (83); [less 16 (84); than or equal [less than or to] 8 equal to] 2 Non-wild type 4 (17); >8 3 (16); >2 Voriconazole No. 17 14 Wild type 13 (76); [less 13 (93); than or equal [less than or to] 0.25 equal to] 0.03 Non-wild type 4 (24); >0.25 1 (7); >0.03 Itraconazole No. 24 19 Wild type 21 (88); [less 19 (100); than or [less than or equal to] 1 equal to] 0.5 Non-wild type 3 (12); >1 0; >0.5 Posaconazole No. 17 14 Wild type 13 (76); 12 (86); [less than or [less than or equal to] 0.5 equal to] 0.12 Non-wild type 4 (24); >0.5 2 (14); >0.12 Caspofungin No. 15 14 Wild type 13 (87); 11 (79); [less than or [less than or equal to] 2 equal to] 1 Non-wild type 2 (13); >2 3 (21); >1 ([double dagger]) Medication No. (%) cases; ECV, [micro]g/mL C. kefyr, C. famata, n = 13 n = 0 (10%) (19%) ([dagger]) ([dagger]) Amphotericin B No. ([double 13 7 dagger]) Wild type NE NE Non-wild type NE NE Fluconazole No. 13 7 Wild type 12 (92); [less NE than or equal to] 1 Non-wild type 1 (8); >1 NE Voriconazole No. 12 7 Wild type 10 (83); [less NE than or equal to] 0.015 Non-wild type 2 (17); >0.015 NE Itraconazole No. 13 7 Wild type NE NE Non-wild type NE NE Posaconazole No. 12 7 Wild type 11 (92); [less NE than or equal to] 0.25 Non-wild type 1 (8); >0.25 NE Caspofungin No. 11 7 Wild type 2 (18); [less NE than or equal to] 0.03 Non-wild type 9 (82); >0.03 NE Medication No. (%) cases; ECV, [micro]g/mL C. dubliniensis, n = 1 (1%) ([dagger]) Amphotericin B No. ([double 1 dagger]) Wild type 0; [less than or equal to] 2 Non-wild type 1 (100); >2 Fluconazole No. 1 Wild type 1 (100); [less than or equal to] 0.5 Non-wild type 0; >0.5 Voriconazole No. 1 Wild type 1 (100); [less than or equal to] 0.03 Non-wild type 0; >0.03 Itraconazole No. 1 Wild type 1 (100); [less than or equal to] 0.25 Non-wild type 0; >0.25 Posaconazole No. 1 Wild type 1 (100); [less than or equal to] 0.12 Non-wild type 0; >0.12 Caspofungin No. 1 Wild type 1 (100); [less than or equal to] 0.12 Non-wild type 0; >0.12 * Data were available for 57 of 68 isolates (24/28 C. guilliermondii, 0/7 C. famata). ECV, epidemiologic cutoff value (17); NE, not evaluable for susceptibility isolates because there are no defined ECVs for that species. ([dagger]) Numbers shown are number of isolates evaluable for susceptibility; percentages are percentage of isolates among all isolates. ([double dagger]) Results were the same by using a clinical breakpoint (MIC > 1) or ECV. Table 4. Treatment and outcome of 68 cancer patients with candidemia caused by uncommon Candida species, Houston, Texas, USA * Parameter Value Antifungal treatment 66 (97) Amphotericin B-based regimen 5 (8) Echinocandin-based regimen 13 (20) Azole-based monotherapy 12 (18) Combination antifungal treatment 36 (55) Median duration of treatment, d (range) 16 (0-76) Catheter-related infection 17 (25) C. guilliermondii 6 (35) C. lusitaniae 7 (41) C. famata 2 (12) C. kefyr 2 (12) Central venous catheter removal, no. 41/65 (63) patients/no. in category (%) Median time to central venous 3 (0-21) catheter removal, d (range) Resolution of neutropenia, no. 15/44 (34) patients/no. in category (%) Persistent neutropenia ([dagger]) 24 (35) Growth factors 42 (62) Leukocyte transfusion 5 (7) Abscess drainage 3 (4) Crude mortality rate at 28 d 40 (61) Mortality rate by Candida spp., ([double dagger]) 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. ([dagger]) Persistent neutropenia was defined as an absolute neutrophil count of <500/mcL for [greater than or equal to] 7days. ([double dagger]) 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 * Variable Univariate analysis Hazard ratio p value (95% CI) Underlying leukemia 7.6 (2.47-23.14) <0.001 Steroid exposure 3.0 (1.03-8.71) 0.040 ICU admission 26.4 (6.42-108.55) <0.001 Intubation 8.3 (1-69.64) 0.040 Total parenteral 4.0 (0.80-20.02 0.105 nutrition Persistent neutropenia 30.6 (3.77-247.93) <0.001 ([dagger]) APACHE II score 12.8 (3.27-49.93) <0.001 [greater than or equal to] 19 Hypoalbuminemia 3.5 (1.10-11.45) 0.030 ([double dagger]) Breakthrough fungemia 4.4 (1.53-12.64) 0.005 Variable Multivariate analysis Adjusted hazard p value ratio (95% CI) Underlying leukemia NR Steroid exposure NR ICU admission 4.0 (1.8-9.05) 0.001 Intubation NR Total parenteral NR nutrition Persistent neutropenia 3.0 (1.52-6.05) 0.002 ([dagger]) APACHE II score 2.8 (1.39-5.78) 0.004 [greater than or equal to] 19 Hypoalbuminemia NR ([double dagger]) Breakthrough fungemia NR * NR, not retained in the multivariate analysis model; APACHE II, Acute Physiology and Chronic Health Evaluation II. ([dagger]) Persistent neutropenia was defined as an absolute neutrophil count of < 500/[micro]L for [greater than or equal to] 7 days. ([double dagger]) Serum albumin level < 3.0 g/dL.
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|Author:||Jung, Dong Sik; Farmakiotis, Dimitrios; Jiang, Ying; Tarrand, Jeffrey J.; Kontoyiannis, Dimitrios P.|
|Publication:||Emerging Infectious Diseases|
|Date:||Nov 1, 2015|
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