Next Article in Journal
Epidemiological Profile of Otomycosis at the Peace Hospital of Ziguinchor (Senegal)
Previous Article in Journal
Construction of Overexpression Vector with TYR7523 Gene and Its Effect on Browning in Macrocybe gigantea
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Epidemiology and Clinical Features of Candida Bloodstream Infections: A 10-Year Retrospective Study in a Korean Teaching Hospital †

Division of Infectious Diseases, Department of Internal Medicine, Soonchunhyang University Cheonan Hospital, Soonchunhyang University College of Medicine, 31, Suncheonhyang 6-gil, Dongnam-gu, Cheonan 31151, Republic of Korea
*
Author to whom correspondence should be addressed.
This article is a revised and expanded version of a paper entitled A Longitudinal Study of Candida Bloodstream Infections in a Teaching Hospital in Korea: Species Distribution, Clinical Features, and Mortality Predictors, which was presented at 14th International Symposium on Antimicrobial Agents and Resistance and the Annual Conference of Korean Society for Antimicrobial Therapy, Seoul, Republic of Korea, 8–10 April 2024.
J. Fungi 2025, 11(3), 217; https://doi.org/10.3390/jof11030217
Submission received: 25 January 2025 / Revised: 28 February 2025 / Accepted: 7 March 2025 / Published: 12 March 2025

Abstract

:
Candida species are major pathogens of bloodstream infections (BSIs) in hospitalized patients, with high mortality. This study examined Candida species distribution, clinical characteristics, and the mortality of patients with Candida BSIs. Adult patients (≥16 years) with Candida BSIs at a teaching hospital (2014–2023) were retrospectively reviewed. Over 10 years, 487 Candida isolates were obtained from 462 patients. C. albicans was the most frequent (38.2%), followed by C. glabrata (21.1%), C. parapsilosis (20.5%), and C. tropicalis (13.3%). The annual incidence of Candida BSIs remained stable (p = 0.525). However, non-albicans species BSIs increased 1.61-fold compared to C. albicans (95% CI: 1.19–2.19, p = 0.002). Fluconazole-non-susceptible Candida isolates increased after 2021 (p = 0.040). The overall 30-day mortality was 40.6%. In the multivariate analysis, a high Charlson comorbidity index (aHR: 1.20, 95% CI: 1.07–1.35, p = 0.001) and high SOFA score (aHR: 1.12, 95% CI: 1.02–1.23, p = 0.022) were the strongest predictors of 30-day mortality. Meanwhile, C. parapsilosis BSIs (aHR: 0.46, 95% CI: 0.22–0.99, p = 0.047) and central venous catheter removal at any time (aHR: 0.22, 95% CI: 0.13–0.37, p < 0.001) were associated with reduced 30-day mortality. The mortality of patients with Candida BSIs was mainly determined by disease severity, while catheter removal was associated with improved survival.

1. Introduction

Candida, one of the most important causative agents of bloodstream infections (BSIs) in hospitals, is associated with high morbidity and mortality [1,2]. Candida species is the fourth most common cause of nosocomial BSIs in the U.S. [3]. It has been the most frequent cause of BSIs in intensive care units (ICUs) in Korea since 2013 [4]. Candida BSI is common in patients admitted to ICUs or those who are immunocompromised. Identified risk factors include the presence of central venous catheters, surgical procedures (especially abdominal surgery), total parenteral nutrition, broad-spectrum antibiotic therapy, and disruptions to the integrity of the skin or mucosal barriers [5,6].
Although Candida albicans has been reported as the most common cause of Candida BSIs, recent studies have shown an increasing proportion of non-albicans Candida BSIs [6,7,8]. While there might be regional epidemiologic differences, some studies have reported an increase in fluconazole-resistant isolates among non-albicans Candida species from BSIs, particularly C. auris, C. glabrata (Nakaseomyces glabratus), and C. parapsilosis [9,10,11]. In Korea, the proportion of non-albicans Candida BSIs has exceeded that of C. albicans since 2006 [12]. The selection of appropriate antifungal agents for Candida BSIs necessitates epidemiologic data on the distribution of Candida species and their antifungal resistance profiles. Therefore, ongoing surveillance data on the distribution of Candida species from BSIs and antifungal susceptibility are important not only at the national level, but also at the institutional level. This study aimed to analyze clinical features, epidemiological characteristics, and antifungal susceptibility patterns of Candida BSIs at our hospital from 2014 to 2023. Risk factors for 30-day mortality were also examined.

2. Methods

This retrospective cohort study was conducted at an 890-bed teaching hospital, including 51 beds in three intensive care units (ICUs), in the Republic of Korea. Electronic medical records of all adult patients aged ≥ 16 who were diagnosed with Candida BSIs between January 2014 and December 2023 were reviewed. This study was approved by the Institutional Review Board (IRB) of Soonchunhyang University Cheonan Hospital (IRB approval No. 2024-05-030).

2.1. Definitions and Data Collection

All Candida BSIs were retrieved from the microbiology laboratory database. Candida BSI was defined as the isolation of Candida species from at least one blood culture in patients with compatible clinical symptoms or signs of infection. Among patients with multiple Candida BSI episodes during the same hospitalization period, only the first episode for each patient was included. Patients with multiple Candida species identified from the same blood cultures, patients with incomplete medical records, and patients whose outcomes were unknown due to transfer to other hospitals were excluded from clinical outcome analysis.
The following data were collected from the electronic medical records of each patient: demographics, underlying diseases, risk factors for Candida BSIs, severity of illness, laboratory results on the day of Candida BSI onset, focus of infection, complications, the time from drawing the first blood culture positive for Candida species to removal of central venous catheter (CVC), antifungal treatment, 7-day mortality, and 30-day mortality. The severity of illness was evaluated with the sequential organ failure assessment (SOFA) score, the Charlson comorbidity index, and the presence of septic shock.
CVC-related Candida BSI was defined as isolation of the same Candida species from blood and catheter tip cultures, or when the same species was isolated from both CVC and peripheral vein blood cultures, with positive values for differential time to positivity (TTP) [13]. The gastrointestinal tract was considered as the source of Candida BSI if patients had signs or symptoms related to the gastrointestinal tract prior to the onset of candidemia which did not have any other sources. The urinary tract was considered to be the portal of entry for patients with obstructive uropathy and evidence of urinary tract infection caused by the same species of Candida. Cases that did not meet the above-mentioned criteria were classified as primary cases. An appropriate empirical antifungal treatment was considered when at least one antifungal agent with in vitro activity was started within 48 h after the first blood culture was performed. Persistent Candida BSI was defined as isolation of the same Candida species ≥ 5 days after initiation of antifungal therapy. Early CVC removal was considered when the CVC was removed within 48 h from drawing the first blood culture positive for Candida species. The incidence of Candida BSIs was determined by the ratio of the total number of Candida BSI episodes per 1000 patient-days.

2.2. Microbiological Methods

Blood culture bottles were incubated in a BacT/ALERT 3D system (BioMérieux Inc., Marcy l’Étoile, France) for five days. Candida species were identified using a VITEK-2 automated system (BioMérieux Inc.) until March 2019. Thereafter, identification was performed using matrix-assisted laser desorption/ionization–time-of-flight mass spectrometry (MALDI-TOF MS; Microflex LT, Bruker Daltonics, Bremen, Germany). Antimicrobial susceptibility testing was performed using a VITEK-2 automated system (BioMérieux Inc.) until March 2019 and the Sensititre YeastOne system (Thermo Fisher Scientific Inc., Cleveland, OH, USA) thereafter, following the manufacturer’s recommendations. Interpretation of susceptibility was performed according to clinical breakpoint defined by the Clinical and Laboratory Standards Institute (CLSI) [14].

2.3. Statistical Analysis

Continuous variables were compared using the Mann–Whitney U-test. Categorical variables were compared using the chi-square test or Fisher’s exact test. Comparisons of continuous variables between different Candida species were performed using the Kruskal–Wallis test. The change in the annual incidence of Candida BSIs during the study period and difference in incidence between C. albicans and non-albicans BSIs were analyzed using negative binominal regression analysis. The Kaplan–Meier method was used to calculate the 30-day survival probability of each Candida species. Differences between survival curves were compared with the log-rank test. Cox regression analysis was used to evaluate risk factors for 30-day mortality. Variables with p < 0.1 after univariate analysis and factors relevant to outcomes were entered into a multivariable model. All p-values were two-tailed and p < 0.05 was considered statistically significant. All statistical analyses were performed using R (version 4.4.1) and R Studio (version 2024.04.2+764) software.

3. Results

3.1. Incidence of Candida BSIs and Antifungal Susceptibility Profiles

During the 10-year study period, 487 Candida isolates were obtained from 462 patients with Candida BSIs. C. albicans was the most frequent species (n = 186, 38.2%), followed by C. glabrata (n = 103, 21.1%), C. parapsilosis (n = 100, 20.5%), C. tropicalis (n = 65, 13.3%), C. guilliermondii (Meyerozyma guilliermondii) (n = 7, 1.4%), C. famata (Debaryomyces hansenii) (n = 6, 1.2%), and C. krusei (Pichia Kudriavzevii) (n = 5, 1.0%). Other Candida species accounted for 3.1% (n = 15) including C. pelliculosa (Wickerhamomyces anomalus) (n = 5), C. dubliniensis (n = 3), C. lusitaniae (Clavispora lusitaniae) (n = 2), C. intermedia (n = 2), C. fabianii (Cyberlindnera fabianii) (n = 1), C. utilis (Cyberlindnera jadinii) (n = 1), and C. sake (n = 1) (Figure 1). Overall, the annual incidence of Candida BSIs was 0.15 episodes per 1000 patient-days. Annual incidences of Candida BSIs were not significantly different during the study period (p = 0.525). The trend in annual Candida BSI incidence showed a 1.61-fold (95% CI: 1.19–2.19, p = 0.002) increase in non-albicans species compared to C. albicans over the study period.
Table 1 shows antifungal susceptibility results for 456 Candida isolates from BSIs. These isolates had susceptibility tests available. When resistant (R) and dose-dependent susceptible/intermediate (SDD/I) categories were considered as non-susceptible, the overall fluconazole non-susceptibility rate was 26.5% (121/456). Fluconazole-non-susceptible Candida isolates showed an increasing trend from 2021 (p = 0.040), attributed to increases in C. glabrata and C. krusei BSIs (Figure 1 and Supplementary Figure S1). Excluding C. glabrata isolates due to the lack of established clinical breakpoints for voriconazole in the CLSI, the voriconazole non-susceptibility rate was 5.4% (19/355). Resistance to micafungin and amphotericin B was rare, with 1.1% (5/456) and 0.9% (4/456) of isolates showing resistance to micafungin and amphotericin B, respectively. The rate of fluconazole resistance was 1.6% (3/186) in C. albicans and 1% (1/95) in C. parapsilosis. Meanwhile, the rate of resistance of C. tropicalis to fluconazole and voriconazole was 4.7% (3/64) each. SDD/I rates for fluconazole and voriconazole were 6.3% (4/64) and 15.6% (10/64), respectively. Three Candida isolates exhibited multidrug resistance: one C. parapsilosis to both fluconazole and amphotericin B, one C. glabrata to both fluconazole and micafungin, and one C. krusei to both azoles and amphotericin B.

3.2. Clinical Features of Patients with Candida BSIs

A total of 409 patients were included for the analysis of clinical features of Candida BSIs after excluding cases with multiple Candida species isolated from the same patients (n = 15), those with clinically insignificant isolation (n = 17), those who were transferred to other hospitals (n = 6), and those with incomplete medical records (n = 15). Demographic data, clinical characteristics, and outcomes according to Candida species are shown in Table 2. The median age of all patients was 71 years (IQR: 61–79 years). There were 222 (54.3%) males. Most of them had underlying diseases, including solid tumor (n = 228, 55.7%) and diabetes mellitus (n = 155, 37.9%). There were 325 cases (79.5%) of nosocomial Candida BSIs, with 91 cases (22.2%) occurring in the ICUs. At the time of Candida BSIs, 321 (78.5%) patients had had a CVC and 175 (42.8%) received total parenteral nutrition. The most common source of BSI was primary BSI (n = 242, 59.2%), followed by catheter-related bloodstream infection (CRBSI) (n = 119, 29.1%), urinary tract infections (n = 24, 5.9%), and intra-abdominal infections (n = 22, 5.4%). Of 154 patients who underwent fundus examination, 8 (5.1%) had ocular candidiasis. Antifungal treatment was administered to 351 (85.8%) patients. Of them, 203 (57.8%) received adequate empirical therapy.
Since C. albicans, C. parapsilosis, C. glabrata, and C. tropicalis BSIs were predominant (94.6%) in this study, we compared the clinical characteristics and outcomes of those with C. albicans and those with the other three Candida species (Supplementary Table S1), as these comparisons are clinically more relevant. Patients with C. parapsilosis BSIs had lower 7-day and 30-day mortality (p = 0.005 and p = 0.004, each), a shorter ICU stay at Candida BSI onset (p = 0.021), less surgery (p = 0.021), less colonization before BSI (p = 0.004), and lower severity, including septic shock (p = 0.004) and SOFA score (p = 0.012). Meanwhile, they received more chemotherapy (p = 0.012), had more CRBSI (p < 0.001), and had more persistent Candida BSIs (p = 0.004). Patients with C. glabrata BSIs had a longer TTP (p = 0.001) and more intra-abdominal infection (p = 0.001), but less CRBSI (p = 0.009). Although they often did not receive appropriate empirical antifungal therapy (p = 0.010), with delayed removal of CVC (p = 0.002), they showed no significant difference in mortality rate compared to patients with C. albicans BSIs. Patients with C. tropicalis BSIs showed clinical characteristics and outcomes similar to those with C. albicans, except that they had a shorter TTP (p = 0.001). The results of pairwise multiple comparisons are also presented in Supplementary Table S2, where statistical significance was determined using p < 0.005 based on the Bonferroni adjustment.

3.3. Analysis of 30-Day Mortality Predictors

The overall mortality was 21.5% at 7 days and 40.6% at 30 days. Patients with Candida BSIs caused by different Candida species showed significantly different 30-day survival probabilities (Figure 2, p = 0.036), which were related to a low 30-day mortality of C. parapsilosis BSIs (p = 0.003). Results of univariate and multivariate analyses for predictors of 30-day mortality of patients with Candida BSIs are shown in Table 3. A high Charlson comorbidity index (adjusted hazard ratio [aHR]: 1.20, 95% CI: 1.07–1.35, p = 0.001) and high SOFA score (aHR: 1.12, 95% CI: 1.02–1.23, p = 0.022) were independently associated with 30-day mortality. Meanwhile, C. parapsilosis BSIs (aHR: 0.46, 95% CI: 0.22–0.99, p = 0.047) and CVC removal at any time (aHR: 0.22, 95% CI: 0.13–0.37, p < 0.001) were significantly associated with reduced 30-day mortality.

4. Discussion

In this study, we investigated the distribution of Candida species isolated from bloodstream infections and their antifungal susceptibility patterns over a 10-year period in a teaching hospital. C. albicans was the most common species, accounting for 38.2% of cases. The incidence of Candida BSIs remained stable over the study period. However, the proportion of non-albicans BSIs showed a slightly increasing trend. The proportion of C. glabrata also showed an increase among non-albicans species from 2021. Although C. albicans is the most prevalent species in most regions of the world, an increasing proportion of non-albicans Candida BSIs has been observed [6]. While differences exist among studies, C. glabrata has been reported as the most common non-albicans species in both the US and the Asia–Pacific region [15,16]. In most parts of Europe, C. glabrata is also prevalent, but in Italy and Turkey, C. parapsilosis has been reported as the dominant non-albicans species [11]. In contrast, in South America, C. parapsilosis and C. tropicalis are more frequently observed [15]. According to a report from the Korean National Healthcare-Associated Infection Surveillance System (KONIS), there were 2248 cases of Candida BSIs in ICUs from 2006 to 2017, with an incidence rate of 0.25 cases per 1000 PD [4]. C. albicans was the most prevalent species, accounting for 39.9% of cases, followed by C. tropicalis (20.2%) and C. parapsilosis (18.2%), while C. glabrata showed an increasing trend from 8.9% in 2006 to 17.9% in 2017 [4]. Another study using data from nine sentinel hospitals (Kor-GLASS program) in Korea during 2020–2021 reported that the average incidence of Candida BSIs was 0.16 cases per 1000 PD (range, 0.11–0.22 cases per 1000 PD) [17]. Among 766 isolates from Candida BSIs, C. albicans was the most common (45.4%), followed by C. tropicalis (17.6%), C. glabrata (17.4%), and C. parapsilosis (14.1%) [17]. In our study, the potential outbreak of C. parapsilosis BSIs in 2018 and 2019 cannot be ruled out. Despite this possible outbreak, our data showed a similar incidence rate of Candida BSIs and a comparable proportion of non-albicans BSIs to those observed in two surveillance datasets from Korea [4,17].
According to the SENTRY Antifungal Surveillance Program, fluconazole resistance among non-albicans Candida species varied by region. Fluconazole resistance in C. glabrata was high in North America, reaching 10.6%, while in the Asia–Pacific region, C. tropicalis showed a high fluconazole resistance rate of 9.2% [15]. In the United States, fluconazole resistance in C. glabrata demonstrated a steady increase over 20 years [15,16]. The rate of micafungin resistance in the Asia–Pacific region was lower than that in North America, with C. glabrata showing a resistance rate of 0.4% while other Candida species showed no resistance [16]. Meanwhile, the Kor-GLASS program assessing isolates collected in 2020 and 2021 found that, among 741 BSI isolates, C. albicans exhibited no resistance to fluconazole, while C. parapsilosis, C glabrata, and C. tropicalis showed resistance rates of 5.6%, 5.3%, and 2.2%, respectively. Only one C. glabrata isolate demonstrated resistance to caspofungin [17]. Another study conducted in 19 tertiary hospitals in South Korea reported that the proportion of C. glabrata in 1158 Candida BSI cases steadily increased from 11.7% in 2008 to 23.9% in 2018. However, fluconazole resistance remained relatively stable throughout the study period, with an average rate of 5.7% [18]. In our study, an increasing trend in fluconazole-non-susceptible Candida isolates was observed after 2021, attributed to increases in C. glabrata and C. krusei. However, similar to other studies in South Korea, azole resistance was observed only sporadically throughout the study period. The relatively high azole resistance rate of C. tropicalis was concerning, similar to that in the Asia–Pacific region in the SENTRY data, while resistance rates to micafungin and amphotericin B were approximately 1%, slightly higher than those in the reports of the Kor-GLASS program [4,17]. However, as susceptibility results in this study were based on data obtained using commercial antifungal susceptibility tests, some discrepancies might exist compared to data obtained through standardized microdilution methods [19].
Previous studies investigating the clinical characteristics of BSIs caused by each Candida species or comparing BSIs caused by C. albicans with those caused by non-albicans species have suggested that BSIs caused by each non-albicans display distinct clinical features [12,20,21]. In the present study, C. glabrata showed a longer TTP than C. albicans. A longer TTP was frequently associated with intra-abdominal infection sources. Notably, the prolonged TTP for C. glabrata found in the present study is consistent with previous studies [22,23]. Although patients with C. tropicalis BSIs exhibited a shorter TTP than those with C. albicans infections, mortality rates were similar in our data. Some studies have reported that the mortality rate is the highest in patients with C. tropicalis BSIs compared to those with BSIs and other Candida species [12,24,25]. Considering that C. tropicalis BSIs are more prevalent in patients with neutropenia or hematologic malignancies and that a shorter TTP allows for earlier administration of empirical antifungal agents or prompt removal of central venous catheters, further investigation of mortality data is warranted [21]. In prior research, C. parapsilosis BSI has been associated with lower mortality and complication rates compared to C. albicans BSI, along with a higher incidence of CRBSI [25,26,27]. Our study similarly found that patients with C. parapsilosis BSIs had lower mortality rates without endophthalmitis, in contrast to those with C. albicans infections. However, CRBSIs and persistent fungemia were more frequently observed in patients with C. parapsilosis BSIs. In the multivariate analysis, the 30-day mortality was lower for patients with C. parapsilosis BSIs in the present study. However, given that this patient group had more than twice the rate of CRBSIs and lower severity compared to other groups, confounding variables might not have been sufficiently adjusted. Given that CRBSIs are generally considered low-mortality BSIs [28], further well-designed comparative studies among Candida BSIs are needed.
In this study, independent risk factors associated with 30-day mortality in patients with Candida BSIs were identified as a high Charlson comorbidity index (CCI) and high SOFA score, while removal of CVC at any time was associated with a reduction in mortality. In the univariate analysis, early removal of CVCs and early initiation of adequate empirical antifungal therapy were linked to reduced mortality. However, these factors did not show statistically significant differences in the multivariate analysis. Although the Infectious Diseases Society of America (IDSA) guidelines recommend early empirical antifungal therapy and CVC removal as soon as possible for Candida BSIs, evidence on their impact in reducing candidemia mortality remains mixed, varying by patient severity, underlying health conditions, and study design [19,29,30]. Definitions of early empirical antifungal administration or catheter removal timeframes range from within 24 h to within 3 days. Starting points can also vary from the time of blood culture sampling to the time of positive culture identification, complicating the direct comparison of outcomes [20,31,32,33]. Lee et al. have reported that early removal of CVC is associated with reduced mortality only in patients with a CCI score of less than 4, suggesting that baseline condition at the onset of candidemia is crucial [34]. In this study, 86% of included patients had a CCI score of 4 or higher. Thus, well-designed follow-up studies are needed to draw definitive conclusions regarding the issue of the impact of early empirical antifungal therapy and early removal of CVCs on mortality reduction. Meanwhile, this study, along with other studies, found that CVC removal (irrespective of timing) was associated with reduced mortality [25,35]. However, in patients with limited life expectancy due to underlying conditions, CVCs are often not removed. Since such patients might have been overrepresented in studies, this could potentially lead to an overestimation of the impact on results [36].
This study has several limitations. First, this is a retrospective cohort study, which might be subject to selection and observation biases that could affect study results. Although we attempted to adjust for confounding factors using multivariate analysis, unmeasured or residual confounders may still exist and influence our findings. The survival probability of patients with Candida BSIs may be overestimated because competing risks, such as nonfungal sepsis, were not taken into account. Treatment for Candida BSI was determined by the attending physician, leading to non-standardized treatment. In some cases, serial follow-up blood cultures were not performed or TTP was not recorded, which prevented the inclusion of these key variables in the multivariate analysis. Until March 2019, Candida species were identified using the VITEK-2 system, which may have led to misidentification. In particular, C. auris, an emerging and significant healthcare-associated fungal pathogen, was not detected in our dataset, but the possibility of misidentification cannot be ruled out [37]. Lastly, as a single-center study, the epidemiology and resistance patterns of Candida species observed in this study might not be representative of the nationwide situation.
In conclusion, our study showed that the annual incidence of Candida BSIs was similar. However, non-albicans species seemed to increase over the study period, with fluconazole-non-susceptible isolates increasing from 2021. Given the role of antifungal exposure in the emergence of non-albicans or resistant strains, judicious antifungal use is imperative [38]. The mortality of patients with Candida BSIs was high, at 40.6%, while the mortality rate for those with C. parapsilosis BSI was lower than that for those with other Candida species. Underlying conditions such as CCI and the SOFA score were significant predictors of mortality. Removal of catheters at any time had a positive impact on reducing mortality.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/jof11030217/s1, Figure S1: Ratio of fluconazole non-susceptible Candida isolates from bloodstream infections for which susceptibility tests were available during the study period; Table S1: Comparison of clinical characteristics among patients with bloodstream infections caused by major Candida species; Table S2: Comparison of clinical characteristics among patients with Candida bloodstream infections, including multiple pairwise comparisons.

Author Contributions

Conceptualization: S.N.Y. and O.H.C.; data curation: S.N.Y., S.I.H., J.W.P., M.H.J. and O.H.C.; formal analysis: S.N.Y.; funding acquisition: O.H.C.; investigation: S.N.Y. and O.H.C.; resources: S.N.Y. and O.H.C.; supervision: O.H.C.; writing—original draft: S.N.Y. and O.H.C.; writing—review and editing: S.N.Y. and O.H.C. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by Soonchunhyang University Research Fund.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Institutional Review Board of Soonchunhyang University Cheonan Hospital (IRB approval No. 2024-05-030, registered on 22 May 2024).

Informed Consent Statement

Patient consent was waived due to the retrospective nature of the study.

Data Availability Statement

The original contributions presented in this study are included in the article and Supplementary Materials. Further inquiries can be directed to the corresponding author.

Acknowledgments

A part of this work was presented as an abstract (abstract No. FM-005) at the 14th International Symposium on Antimicrobial Agents and Resistance and the Annual Conference of Korean Society for Antimicrobial Therapy, Seoul, Republic of Korea, 2024.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Wisplinghoff, H.; Bischoff, T.; Tallent, S.M.; Seifert, H.; Wenzel, R.P.; Edmond, M.B. Nosocomial bloodstream infections in US hospitals: Analysis of 24,179 cases from a prospective nationwide surveillance study. Clin. Infect. Dis. 2004, 39, 309–317. [Google Scholar] [CrossRef]
  2. Falagas, M.E.; Apostolou, K.E.; Pappas, V.D. Attributable mortality of candidemia: A systematic review of matched cohort and case-control studies. Eur. J. Clin. Microbiol. Infect. Dis. 2006, 25, 419–425. [Google Scholar] [CrossRef]
  3. Magill, S.S.; O’Leary, E.; Janelle, S.J.; Thompson, D.L.; Dumyati, G.; Nadle, J.; Wilson, L.C.; Kainer, M.A.; Lynfield, R.; Greissman, S.; et al. Changes in Prevalence of Health Care-Associated Infections in U.S. Hospitals. N. Engl. J. Med. 2018, 379, 1732–1744. [Google Scholar] [CrossRef]
  4. Kim, E.J.; Lee, E.; Kwak, Y.G.; Yoo, H.M.; Choi, J.Y.; Kim, S.R.; Shin, M.J.; Yoo, S.-Y.; Cho, N.-H.; Choi, Y.H. Trends in the Epidemiology of Candidemia in Intensive Care Units from 2006 to 2017: Results from the Korean National Healthcare-Associated Infections Surveillance System. Front. Med. 2020, 7, 606976. [Google Scholar] [CrossRef] [PubMed]
  5. Kullberg, B.J.; Arendrup, M.C. Invasive Candidiasis. N. Engl. J. Med. 2015, 373, 1445–1456. [Google Scholar] [CrossRef] [PubMed]
  6. Soriano, A.; Honore, P.M.; Puerta-Alcalde, P.; Garcia-Vidal, C.; Pagotto, A.; Gonçalves-Bradley, D.C.; Verweij, P.E. Invasive candidiasis: Current clinical challenges and unmet needs in adult populations. J. Antimicrob. Chemother. 2023, 78, 1569–1585. [Google Scholar] [CrossRef] [PubMed]
  7. Horn, D.L.; Neofytos, D.; Anaissie, E.J.; Fishman, J.A.; Steinbach, W.J.; Olyaei, A.J.; Marr, K.A.; Pfaller, M.A.; Chang, C.; Webster, K.M. Epidemiology and outcomes of candidemia in 2019 patients: Data from the prospective antifungal therapy alliance registry. Clin. Infect. Dis. 2009, 48, 1695–1703. [Google Scholar] [CrossRef]
  8. Koehler, P.; Stecher, M.; Cornely, O.; Koehler, D.; Vehreschild, M.; Bohlius, J.; Wisplinghoff, H.; Vehreschild, J. Morbidity and mortality of candidaemia in Europe: An epidemiologic meta-analysis. Clin. Microbiol. Infect. 2019, 25, 1200–1212. [Google Scholar] [CrossRef]
  9. Jenkins, E.; Lyman, M.; Jackson, B.; Lockhart, S.; Wolford, H.; Reddy, S.; Baggs, J. Fluconazole resistance in non-albicans Candida species in the United States, 2012–2021. Antimicrob. Steward. Healthc. Epidemiol. 2023, 3 (Suppl. S2), s29–s30. [Google Scholar] [CrossRef]
  10. Noble, B.A.; Jurcic Smith, K.L.; Jones, J.D.; Galvin, B.W.; Timbrook, T.T. Candida auris rates in blood culture on the rise: Results of US surveillance. Microbiol. Spectr. 2023, 11, e0221623. [Google Scholar] [CrossRef]
  11. Arendrup, M.C.; Arikan-Akdagli, S.; Jørgensen, K.M.; Barac, A.; Steinmann, J.; Toscano, C.; Arsenijevic, V.A.; Sartor, A.; Lass-Flörl, C.; Hamprecht, A.; et al. European candidaemia is characterised by notable differential epidemiology and susceptibility pattern: Results from the ECMM Candida III study. J. Infect. 2023, 87, 428–437. [Google Scholar] [CrossRef] [PubMed]
  12. Ko, J.-H.; Jung, D.S.; Lee, J.Y.; Kim, H.A.; Ryu, S.Y.; Jung, S.-I.; Joo, E.-J.; Cheon, S.; Kim, Y.-S.; Kim, S.-W.; et al. Poor prognosis of Candida tropicalis among non-albicans candidemia: A retrospective multicenter cohort study, Korea. Diagn. Microbiol. Infect. Dis. 2019, 95, 195–200. [Google Scholar] [CrossRef] [PubMed]
  13. Mermel, L.A.; Allon, M.; Bouza, E.; Craven, D.E.; Flynn, P.; O’Grady, N.P.; Raad, I.I.; Rijnders, B.J.A.; Sherertz, R.J.; Warren, D.K.; et al. Clinical practice guidelines for the diagnosis and management of intravascular catheter-related infection: 2009 Update by the Infectious Diseases Society of America. Clin. Infect. Dis. 2009, 49, 1–45. [Google Scholar] [CrossRef]
  14. Clinical and Laboratory Standard Institute. Performance Standards for Antifungal Susceptibility Testing of Yeasts, 1st ed.; CLSI Supplement M60; CLSI: Wayne, PA, USA, 2017. [Google Scholar]
  15. Pfaller, M.A.; Diekema, D.J.; Turnidge, J.D.; Castanheira, M.; Jones, R.N. Twenty Years of the SENTRY Antifungal Surveillance Program: Results for Candida Species from 1997–2016. Open Forum Infect. Dis. 2019, 6 (Suppl. S1), S79–S94. [Google Scholar] [CrossRef]
  16. Tsay, S.V.; Mu, Y.; Williams, S.; Epson, E.; Nadle, J.; Bamberg, W.M.; Barter, D.M.; Johnston, H.L.; Farley, M.M.; Harb, S.; et al. Burden of Candidemia in the United States, 2017. Clin. Infect. Dis. 2020, 71, e449–e453. [Google Scholar] [CrossRef]
  17. Won, E.J.; Choi, M.J.; Jeong, S.H.; Kim, D.; Shin, K.S.; Shin, J.H.; Kim, Y.R.; Kim, H.S.; Kim, Y.A.; Uh, Y.; et al. Nationwide Surveillance of Antifungal Resistance of Candida Bloodstream Isolates in South Korean Hospitals: Two Year Report from Kor-GLASS. J. Fungi 2022, 8, 996. [Google Scholar] [CrossRef]
  18. Won, E.J.; Choi, M.J.; Kim, M.N.; Yong, D.; Lee, W.G.; Uh, Y.; Kim, T.S.; Byeon, S.A.; Lee, S.Y.; Kim, S.H.; et al. Fluconazole-Resistant Candida glabrata Bloodstream Isolates, South Korea, 2008–2018. Emerg. Infect. Dis. 2021, 27, 779–788. [Google Scholar] [CrossRef]
  19. Zheng, Y.-J.; Xie, T.; Wu, L.; Liu, X.-Y.; Zhu, L.; Chen, Y.; Mao, E.-Q.; Han, L.-Z.; Chen, E.-Z.; Yang, Z.-T. Epidemiology, species distribution, and outcome of nosocomial Candida spp. bloodstream infection in Shanghai: An 11-year retrospective analysis in a tertiary care hospital. Ann. Clin. Microbiol. Antimicrob. 2021, 20, 34. [Google Scholar] [CrossRef]
  20. Tsukamoto, H.; Higashi, T.; Kodawara, T.; Watanabe, K.; Hida, Y.; Iwasaki, H.; Goto, N. A longitudinal study of Candida bloodstream infections in a Japanese university hospital: Species distribution, drug susceptibility, clinical features, and mortality predictors. Eur. J. Clin. Microbiol. Infect. Dis. 2022, 41, 1315–1325. [Google Scholar] [CrossRef]
  21. Weinberger, M.; Leibovici, L.; Perez, S.; Samra, Z.; Ostfeld, I.; Levi, I.; Bash, E.; Turner, D.; Goldschmied-Reouven, A.; Regev-Yochay, G.; et al. Characteristics of candidaemia with Candida-albicans compared with non-albicans Candida species and predictors of mortality. J. Hosp. Infect. 2005, 61, 146–154. [Google Scholar] [CrossRef]
  22. Kim, S.H.; Yoon, Y.K.; Kim, M.J.; Sohn, J.W. Clinical impact of time to positivity for Candida species on mortality in patients with candidaemia. J. Antimicrob. Chemother. 2013, 68, 2890–2897. [Google Scholar] [CrossRef] [PubMed]
  23. Huang, L.; Zhang, Y.Y.; Sun, L.Y. Time to positivity of blood culture can predict different Candida species instead of pathogen concentration in candidemia. Eur. J. Clin. Microbiol. Infect. Dis. 2013, 32, 917–922. [Google Scholar] [CrossRef] [PubMed]
  24. Salmanton-García, J.; Cornely, O.A.; Stemler, J.; Barać, A.; Steinmann, J.; Siváková, A.; Akalin, E.H.; Arikan-Akdagli, S.; Loughlin, L.; Toscano, C.; et al. Attributable mortality of candidemia—Results from the ECMM Candida III multinational European Observational Cohort Study. J. Infect. 2024, 89, 106229. [Google Scholar] [CrossRef]
  25. Andes, D.R.; Safdar, N.; Baddley, J.W.; Playford, G.; Reboli, A.C.; Rex, J.H.; Sobel, J.D.; Pappas, P.G.; Kullberg, B.J. Impact of treatment strategy on outcomes in patients with candidemia and other forms of invasive candidiasis: A patient-level quantitative review of randomized trials. Clin. Infect. Dis. 2012, 54, 1110–1122. [Google Scholar] [CrossRef]
  26. Barchiesi, F.; Orsetti, E.; Osimani, P.; Catassi, C.; Santelli, F.; Manso, E. Factors related to outcome of bloodstream infections due to Candida parapsilosis complex. BMC Infect. Dis. 2016, 16, 387. [Google Scholar] [CrossRef]
  27. Wu, Y.-M.; Huang, P.-Y.; Lu, J.-J.; Shie, S.-S.; Ye, J.-J.; Wu, T.-S.; Huang, C.-T. Risk factors and outcomes of candidemia caused by Candida parapsilosis complex in a medical center in northern Taiwan. Diagn. Microbiol. Infect. Dis. 2018, 90, 44–49. [Google Scholar] [CrossRef]
  28. Soriano, A.; Marco, F.; Martínez, J.A.; Pisos, E.; Almela, M.; Dimova, V.P.; Alamo, D.; Ortega, M.; Lopez, J.; Mensa, J.; et al. Influence of vancomycin minimum inhibitory concentration on the treatment of methicillin-resistant Staphylococcus aureus bacteremia. Clin. Infect. Dis. 2008, 46, 193–200. [Google Scholar] [CrossRef]
  29. Pappas, P.G.; Kauffman, C.A.; Andes, D.R.; Clancy, C.J.; Marr, K.A.; Ostrosky-Zeichner, L.; Reboli, A.C.; Schuster, M.G.; Vazquez, J.A.; Walsh, T.J.; 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–e50. [Google Scholar] [CrossRef]
  30. Taur, Y.; Cohen, N.; Dubnow, S.; Paskovaty, A.; Seo, S.K. Effect of antifungal therapy timing on mortality in cancer patients with candidemia. Antimicrob. Agents Chemother. 2010, 54, 184–190. [Google Scholar] [CrossRef]
  31. Nucci, M.; Anaissie, E.; Betts, R.F.; Dupont, B.F.; Wu, C.; Buell, D.N.; Kovanda, L.; Lortholary, O. Early removal of central venous catheter in patients with candidemia does not improve outcome: Analysis of 842 patients from 2 randomized clinical trials. Clin. Infect. Dis. 2010, 51, 295–303. [Google Scholar] [CrossRef]
  32. Kutlu, M.; Sayın-Kutlu, S.; Alp-Çavuş, S.; Öztürk, Ş.B.; Taşbakan, M.; Özhak, B.; Kaya, O.; Kutsoylu, O.E.; Şenol-Akar, Ş.; Turhan, Ö.; et al. Mortality-associated factors of candidemia: A multi-center prospective cohort in Turkey. Eur. J. Clin. Microbiol. Infect. Dis. 2022, 41, 597–607. [Google Scholar] [CrossRef] [PubMed]
  33. Liu, C.; Huang, L.; Wang, W.; Chen, T.; Yen, C.; Yang, M.; Hsiao, L.; Chen, P.; Chiou, T. Candidemia in cancer patients: Impact of early removal of non-tunneled central venous catheters on outcome. J. Infect. 2009, 58, 154–160. [Google Scholar] [CrossRef] [PubMed]
  34. Lee, Y.M.; Kim, D.Y.; Kim, Y.J.; Park, K.H.; Lee, M.S. Clinical impacts of delayed central venous catheter removal according to the severity of comorbidities in patients with candidaemia. J. Hosp. Infect. 2019, 103, 420–427. [Google Scholar] [CrossRef]
  35. Janum, S.; Afshari, A. Central venous catheter (CVC) removal for patients of all ages with candidaemia. Cochrane Database Syst. Rev. 2016, 7, CD011195. [Google Scholar] [CrossRef]
  36. Nucci, M.; Braga, P.R.; Nouér, S.A.; Anaissie, E. Time of catheter removal in candidemia and mortality. Braz. J. Infect. Dis. 2018, 22, 455–461. [Google Scholar] [CrossRef]
  37. Kathuria, S.; Singh, P.K.; Sharma, C.; Prakash, A.; Masih, A.; Kumar, A.; Meis, J.F.; Chowdhary, A. Multidrug-Resistant Candida auris Misidentified as Candida haemulonii: Characterization by Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry and DNA Sequencing and Its Antifungal Susceptibility Profile Variability by Vitek 2, CLSI Broth Microdilution, and Etest Method. J. Clin. Microbiol. 2015, 53, 1823–1830. [Google Scholar]
  38. Capoor, M.R.; Subudhi, C.P.; Collier, A.; Bal, A.M. Antifungal stewardship with an emphasis on candidaemia. J. Glob. Antimicrob. Resist. 2019, 19, 262–268. [Google Scholar] [CrossRef]
Figure 1. Trends in annual incidence of Candida bloodstream infections and distribution of Candida isolates identified over the 10-year study period.
Figure 1. Trends in annual incidence of Candida bloodstream infections and distribution of Candida isolates identified over the 10-year study period.
Jof 11 00217 g001
Figure 2. Kaplan–Meier survival curve showing 30-day mortality of patients with Candida bloodstream infections caused by different Candida species.
Figure 2. Kaplan–Meier survival curve showing 30-day mortality of patients with Candida bloodstream infections caused by different Candida species.
Jof 11 00217 g002
Table 1. Antifungal susceptibility results of Candida species isolates from blood cultures.
Table 1. Antifungal susceptibility results of Candida species isolates from blood cultures.
Candida albicans
(n = 186)
Candida parapsilosis
(n = 95)
Candida glabrata a
(n = 101)
Candida tropicalis
(n = 64)
Candida krusei
(n = 5)
Candida guilliermondii
(n = 5)
Total
(n = 456)
Fluconazole
  S179 (96.2)94 (99.0)057 (89.1)05 (100)335 (73.5)
  SDD/I4 (2.1)095 (94.1)4 (6.3)00103 (22.6)
  R3 (1.6)1 (1.0)6 (5.9)3 (4.7)5 (100)018 (3.9)
Voriconazole
  S182 (97.8)95 (100)51 (79.7)3 (60.0)5 (100)336 (94.6) b
  SDD/I0010 (15.6)0010 (2.8) b
  R4 (2.1)03 (4.7)2 (40.0)09 (2.5) b
Micafungin
  S186 (100)93 (97.9)98 (97.0)64 (100)5 (100)5 (100)451 (98.9)
  SDD/I0000000
  R02 (2.1)3 (3.0)0005 (1.1)
Amphotericin B
  S185 (99.5)93 (97.9)101 (100)64 (100)4 (80.0)5 (100)452 (99.1)
  SDD/I0000000
  R1 (0.5)2 (2.1)001 (20.0)04 (0.9)
Data are presented as number (%). Abbreviations: S, susceptible; SDD/I, susceptible dose-dependent/intermediate; R, resistant. a Clinical breakpoint for voriconazole to C. glabrata is not established in the Clinical and Laboratory Standards Institute. b The 101 C. glabrata isolates were excluded when calculating the proportion of voriconazole-susceptible or -non-susceptible isolates.
Table 2. Baseline and clinical characteristics of patients with Candida bloodstream infections.
Table 2. Baseline and clinical characteristics of patients with Candida bloodstream infections.
TotalC. albicansC. parapsilosisC. glabrataC. tropicalisOthers a
Variable(n = 409)(n = 162)(n = 82)(n = 86)(n = 57)(n = 22)p b
Age (years)71 (61–79)70 (62–78)71 (61–79)74 (63–80)68 (58–75)77 (62–79)0.281
Male222 (54.3)86 (53.1)40 (48.8)50 (58.1)36 (63.2)10 (45.5)0.391
Hospital duration (days)43 (23–76)40 (23–67)45 (22–76)35 (22–72)52 (31–88)46 (26–71)0.287
Underlying diseases
  Diabetes mellitus155 (37.9)61 (37.7)28 (34.1)37 (43.0)21 (36.8)8 (36.4)0.826
  Solid tumor228 (55.7)86 (53.1)54 (65.9)48 (55.8)28 (49.1)12 (54.5)0.299
  Hematologic malignancy20 (4.9)5 (3.1)6 (7.3)3 (3.5)2 (3.5)4 (18.2)0.025
  Cerebrovascular diseases46 (11.2)14 (8.6)13 (15.9)8 (9.3)11 (19.3)00.047
  Chronic lung diseases28 (6.8)12 (7.4)5 (6.1)5 (5.8)5 (8.8)1 (4.5)0.937
  Liver cirrhosis22 (5.4)9 (5.6)3 (3.7)3 (3.5)6 (10.5) 1 (4.5)0.394
  Chronic heart failure21 (5.1)10 (6.2)6 (7.3)3 (3.5)2 (3.5)00.535
  End stage renal diseases19 (4.6)6 (3.7)2 (2.4)4 (4.7)6 (10.5)1 (4.5)0.225
  Solid organ transplantation2 (0.5)1 (0.6)01 (1.2)000.800
ICU stay at candidemia onset91 (22.2)37 (22.8)8 (9.8)22 (25.6)17 (29.8)7 (31.8)0.026
Nosocomial candidemia325 (79.5)130 (80.2)58 (70.7)66 (76.7)52 (91.2)19 (86.4)0.045
Persistent candidemia (n = 334) c55 (16.5)16 (13.0)23 (31.1)9 (11.8)6 (14.3)1 (5.3)0.004
Candida colonization102 (24.9)46 (28.4)9 (11.0)22 (25.6)19 (33.3)6 (27.3)0.019
TTP (h) (n = 287) c24 (14–37)24 (14–37)24 (15–34)36 (24–48)17 (8–21)18 (13–27)<0.001
Concomitant bacteremia59 (14.4)22 (13.6)7 (8.5)13 (15.1)14 (24.6)3 (13.6)0.126
Charlson comorbidity index6 (4–6)6 (4–8)7 (5–8)6 (5–8)7 (4–9)6 (5–8)0.877
Surgery51 (12.5)20 (12.3)2 (2.4)18 (20.9)9 (15.8)2 (9.1)0.007
  Gastrointestinal surgery25 (6.1)12 (7.4)1 (1.2)8 (9.3)3 (5.3)1 (4.5)0.185
Total parenteral nutrition175 (42.8)67 (41.4)39 (47.6)39 (45.3)22 (38.6)8 (36.4)0.753
Corticosteroid68 (16.6)24 (14.8)16 (19.5)9 (10.5)10 (17.5)9 (40.9)0.013
Chemotherapy94 (23.0)32 (19.8)29 (35.4)18 (20.9)7 (12.3)8 (36.4)0.007
Neutropenia (<500/mm3)33 (8.1)14 (8.6)8 (9.8)4 (4.7)5 (8.8)2 (9.1)0.771
Prior antibiotics343 (83.9)137 (84.6)62 (75.6)71 (82.6)53 (93.0)20 (90.9)0.072
  Broad-spectrum antibiotics273 (66.7)110 (67.9)53 (64.6)54 (62.8)39 (68.4)17 (77.3)0.729
Prior azole exposure28 (6.8)6 (3.7)9 (11.0)6 (7.0)3 (5.3)4 (18.2)0.053
Mechanical ventilation56 (13.7)23 (14.2)6 (7.3)13 (15.1)10 (17.5)4 (18.2)0.393
Septic shock56 (13.7)29 (17.9)3 (3.7)11 (12.8)10 (17.5)3 (13.6)0.037
SOFA score3 (1–5)3 (1–6)2 (0–4)3.5 (2– 6)3 (1–7)3.5 (1–8)0.020
WBC (×103/mm3)9.1 (5.2–13.6)10.2 (6.8–14.6)5.7 (3.5–9.4)9.4 (5.6–15.2)10.5 (5.7–13.6)8.3 (4.9–11.2)<0.001
CRP (mg/L)83.7
(40.8–145.0)
92.2
(44.6–151.3)
56.1
(23.5–106.1)
107.6
(55.4–175.5)
85.4
(40.7–153.9)
67.6
(28.5–107.0)
<0.001
CVC in situ321 (78.5)129 (79.6)70 (85.4)62 (72.1)41 (71.9)19 (86.4)0.149
Primary242 (59.2)100 (61.7)31 (37.8)55 (64.0)39 (68.4)17 (77.3)<0.001
CRBSI119 (29.1)45 (27.8)49 (59.8)11 (12.8)11 (19.3)3 (13.6)<0.001
Intra-abdominal22 (5.4)4 (2.5)1 (1.2)12 (14.0)4 (7.0)1 (4.5)0.001
Urinary tract24 (5.9)12 (7.4)1 (1.2)8 (9.3)3 (5.3)00.128
Other2 (0.5)1 (0.6)0001 (4.5)0.072
CVC remove216 (67.3)85 (65.9)60 (85.7)39 (62.9)23 (56.1)9 (47.4)0.002
CVC remove within 48 h79 (24.6)37 (28.7)24 (34.3)5 (8.1)12 (29.3)1 (5.3)0.001
Antifungal treatment351 (85.8)135 (83.3)76 (92.7)75 (87.2)46 (80.7)19 (86.4)0.252
  Initial echinocandin257 (62.8)96 (59.3)55 (67.1)61 (70.9)30 (52.6)15 (68.2)0.150
  Initial azole94 (23.0)40 (24.7)19 (23.2)16 (18.6)15 (26.3)4 (18.2)0.764
  Initial amphotericin B6 (1.5)2 (1.2)2 (2.4)02 (3.5%)00.427
Adequate empirical treatment203 (49.6)79 (48.8)52 (63.4)27 (31.4)33 (57.9)11 (50.0)0.001
COMPLICATON
  Endophthalmitis (n = 154) c8 (5.1)6 (3.7)002 (3.5)00.131
  Bone and joint infections7 (1.7)3 (1.9)1 (1.2)1 (1.2)1 (1.8)1 (4.5)0.854
  Thrombophlebitis2 (0.5)01 (1.2)1 (1.2)000.577
Hospital mortality211 (51.6)88 (54.3)32 (39.0)47 (54.7)29 (50.9)15 (68.2)0.077
7-day mortality88 (21.5)42 (25.9)8 (9.8)15 (17.4)16 (28.1)7 (31.8)0.016
30-day mortality166 (40.6)74 (45.7)21 (25.6)35 (40.7)26 (45.6)10 (45.5)0.037
Data are presented as no. (%) of patients or median (interquartile range), unless otherwise indicated. Abbreviations: ICU, intensive care unit; TTP, time to blood culture positivity; SOFA, sequential organ failure assessment; WBC, white blood cell; CRP, C-reactive protein; CVC, central venous catheter; CRBSI, catheter-related bloodstream infection. a Includes C. guilliermondii (n = 6), C. krusei (n = 5), C. famata (n = 3), C. pelliculosa (n = 3), C. lusitaniae (n = 2), C. dubliniensis (n = 2), and C. utilis (n = 1). b The p-value represents the comparison across all groups. Refer to Supplementary Table S1 for comparisons between C. albicans and the other three Candida species, and Supplementary Table S2 for pairwise multiple comparison results. c Number of patients for whom test results were available.
Table 3. Univariate and multivariate Cox regression analyses of predictors for 30-day mortality in patients with Candida BSIs.
Table 3. Univariate and multivariate Cox regression analyses of predictors for 30-day mortality in patients with Candida BSIs.
VariablesReference GroupHR (95% CI)pAdjusted HR (95% CI)p
Age 1.00 (0.99–1.02)0.528
Femalemale0.80 (0.59–1.09)0.150
Underlying diseases
  Diabetes mellitus 0.87 (0.63–1.19)0.388
  Solid tumor 1.61 (1.17–2.21)0.0041.27 (0.64–2.52)0.486
  Hematologic disease 0.56 (0.23–1.35)0.195
  Cerebrovascular disease 0.61 (0.35–1.08)0.0900.72 (0.32–1.59)0.415
  Chronic obstructive pulmonary disease 1.34 (0.76–2.37)0.308
  Liver cirrhosis 1.98 (1.14–3.42)0.0151.02 (0.44–2.37)0.968
  End-stage renal disease 0.72 (0.32–1.63)0.436
  Chronic heart failure 1.50 (0.82–2.77)0.191
 Charlson comorbidity index 1.22 (1.14–1.29)<0.0011.20 (1.07–1.35)0.001
 ICU stay at onset of candidemia 1.97 (1.41–2.74)<0.0011.33 (0.59–3.02)0.493
Risk factors for Candida infection
  Candida colonization 1.05 (0.74–1.49)0.791
  Total parenteral nutrition 1.27 (0.93–1.72)0.127
  Neutropenia (<500/mm3) 1.55 (0.95–2.52)0.0811.52 (0.77–3.00)0.226
  Chemotherapy 0.95 (0.66–1.37)0.800
  Corticosteroid 1.67 (1.16–2.42)0.0061.48 (0.71–3.10)0.301
  Surgery 0.63 (0.37–1.08)0.0910.56 (0.23–1.36)0.200
  Gastrointestinal surgery 0.74 (0.36–1.51)0.410
  Central venous catheter in situ 1.26 (0.85–1.88)0.247
  Mechanical ventilation 2.16 (1.47–3.16)<0.0010.72 (0.29–1.76)0.465
  Prior broad-spectrum antibiotics 1.46 (1.04–2.05)0.0291.29 (0.80–2.08)0.292
 Persistent candidemia 0.86 (0.50–1.50)0.599
 SOFA score 1.20 (1.16–1.24)<0.0011.12 (1.02–1.23)0.022
 Septic shock 4.91 (3.47–6.94)<0.0012.20 (0.99–4.90)0.052
Source of candidemia
  CRBSI 0.43 (0.29–0.64)<0.0011.07 (0.34–3.40)0.908
  Primary 2.25 (1.60–3.16)<0.0010.80 (0.28–2.25)0.671
  Gastrointestinal 1.20 (0.63–2.27)0.585
  Urinary 0.58 (0.26–1.31)0.189
Candida speciesC. albicans
  Candida parapsilosiss 0.49 (0.30–0.80)0.0040.46 (0.22–0.99)0.047
  Candida glabrata 0.81 (0.54–1.22)0.3170.82 (0.47–1.46)0.506
  Candida tropicalis 1.07 (0.69–1.68)0.7540.92 (0.48–1.77)0.800
  Others 1.03 (0.53–1.99)0.9340.50 (0.19–1.29)0.151
 TTP 0.99 (0.98–1.00)0.275
 Early CVC removal (≤48 h) 0.38 (0.22–0.66)0.0011.26 (0.66–2.40)0.480
 CVC removal at any time 0.16 (0.10–0.24)<0.0010.22 (0.13–0.37)<0.001
 First-line echinocandin treatment 1.57 (0.95–2.41)0.0791.53 (0.86–2.73)0.149
 Early initial adequate antifungal agent (≤48 h) 0.54 (0.36–0.81)0.0030.83 (0.50–1.38)0.479
Abbreviations: BSI, bloodstream infection; HR, hazard ratio; CI, confidence interval; ICU, intensive care unit; SOFA, sequential organ failure assessment; CRBSI, catheter-related bloodstream infection; TTP, time to blood culture positivity; CVC, central venous catheter.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Yu, S.N.; Hong, S.I.; Park, J.W.; Jeon, M.H.; Cho, O.H. Epidemiology and Clinical Features of Candida Bloodstream Infections: A 10-Year Retrospective Study in a Korean Teaching Hospital. J. Fungi 2025, 11, 217. https://doi.org/10.3390/jof11030217

AMA Style

Yu SN, Hong SI, Park JW, Jeon MH, Cho OH. Epidemiology and Clinical Features of Candida Bloodstream Infections: A 10-Year Retrospective Study in a Korean Teaching Hospital. Journal of Fungi. 2025; 11(3):217. https://doi.org/10.3390/jof11030217

Chicago/Turabian Style

Yu, Shi Nae, Sun In Hong, Jung Wan Park, Min Hyok Jeon, and Oh Hyun Cho. 2025. "Epidemiology and Clinical Features of Candida Bloodstream Infections: A 10-Year Retrospective Study in a Korean Teaching Hospital" Journal of Fungi 11, no. 3: 217. https://doi.org/10.3390/jof11030217

APA Style

Yu, S. N., Hong, S. I., Park, J. W., Jeon, M. H., & Cho, O. H. (2025). Epidemiology and Clinical Features of Candida Bloodstream Infections: A 10-Year Retrospective Study in a Korean Teaching Hospital. Journal of Fungi, 11(3), 217. https://doi.org/10.3390/jof11030217

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop