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Article

Candidemia in a General Hospital in Kuwait: Epidemiology, Species Distribution, Risk Factors, and Antifungal Susceptibility Patterns over a 10-Year Period (2015–2024)

1
Department of Microbiology, College of Medicine, Kuwait University, P.O. Box 24923, Safat, Kuwait City 13110, Kuwait
2
Department of Microbiology, Al-Amiri Hospital, P.O. Box 4077, Safat, Kuwait City 13041, Kuwait
3
Department of Statistics and Operations Research, College of Science, Kuwait University, P.O. Box 5969, Safat, Kuwait City 13060, Kuwait
*
Author to whom correspondence should be addressed.
J. Fungi 2025, 11(9), 670; https://doi.org/10.3390/jof11090670
Submission received: 4 July 2025 / Revised: 5 September 2025 / Accepted: 8 September 2025 / Published: 12 September 2025
(This article belongs to the Section Fungal Pathogenesis and Disease Control)

Abstract

This 10-year retrospective observational study (2015–2024) conducted at Al-Amiri Hospital in Kuwait aimed to analyze the epidemiology, species distribution, and key risk factors associated with Candida bloodstream infections. Data were collected on patient demographics and clinical risk factors, and the distribution of Candida species was determined based on isolates recovered from patients with confirmed candidemia. Multivariate logistic regression was performed to identify factors associated with candidemia outcomes. Cases significantly increased from 33 (2015–2016) to 93 (2023–2024), predominantly affecting elderly patients (≥65 years) and intensive care unit (ICU) admissions. A shift in species distribution was observed, with a decline in Candida albicans and a marked increase in Candidozyma auris (formerly Candida auris) and C. parapsilosis. Antifungal susceptibility patterns were species-specific: C. albicans, C. parapsilosis, and C. tropicalis remained highly susceptible to all tested antifungals, while Nakaseomyces glabratus (formerly Candida glabrata) showed fluconazole resistance in 25% of isolates. C. auris exhibited resistance to fluconazole (97%) and variable resistance to echinocandins and voriconazole. Echinocandins retained broad-spectrum activity across most species. Independent risk factors included ICU admission, advanced age, and comorbidities. N. glabratus and C. auris infections were linked to higher mortality. This study highlights the growing candidemia burden in Kuwait, driven by emerging non-albicans Candida (NAC) spp. and related species. Early species identification and susceptibility testing are crucial for effective treatment and improved outcomes, necessitating enhanced infection control and antifungal stewardship.

1. Introduction

Candidemia, a bloodstream infection caused by Candida spp. and related species, is a major concern in healthcare settings worldwide. It is associated with high morbidity and mortality rates, particularly among critically ill and immunocompromised patients [1,2]. The global epidemiology of candidemia has changed significantly in recent years, with a notable increase in incidence and a shift from Candida albicans to non-albicans Candida (NAC) spp. and related species [3]. This shift is largely attributed to the widespread use of antifungal agents, increased hospitalization rates, and the growing prevalence of invasive medical procedures [4]. Globally, the estimated annual incidence of candidemia exceeds 500,000 cases, with approximately 250,000 associated deaths [5]. Notably, substantial variability in incidence has been observed across countries and among different populations at risk for invasive candidiasis.
In Kuwait, candidemia has emerged as a major nosocomial infection, with reported incidence rates ranging from approximately 2 to 5 cases per 100,000 population [6]. However, higher estimates of 6.8 per 100,000 have been suggested, necessitating robust surveillance strategies in the country [7]. A comprehensive 12-year study on candidiasis in Kuwait identified C. albicans and Candida parapsilosis as the most frequently isolated species, accounting for 37% and 34% of cases, respectively [8]. Supporting this observation, a nationwide survey on candidemia in Kuwait reported a similar distribution pattern. However, the survey also highlighted a concerning finding: an increasing incidence of multidrug-resistant Candidozyma auris, with 33 confirmed cases [6]. C. auris poses a serious threat to public health due to its resistance to the commonly used antifungal agents, its persistence in hospital environments, and its potential to cause outbreaks that are difficult to control [9].
The emergence of C. auris underscores the critical need for continuous surveillance of Candida spp. and related species distribution, particularly within major healthcare centers, where vulnerable patient populations are treated. For example, while the nationwide survey identified Al-Amiri Hospital as having a comparatively lower incidence of candidemia than other hospitals in Kuwait [6], this observation warrants in-depth investigation. Al-Amiri is a leading general hospital, with a capacity exceeding 400 beds, and it serves an estimated 400,000 patients annually across a broad range of medical and surgical specialties. The detection of C. auris in this setting, given its ability to persist on surfaces for extended periods, raises concerns about potential underreporting and the likelihood of increasing infection rates over time [9].
In light of these concerns, the present study aims to provide in-depth epidemiological insights into candidemia at Al-Amiri Hospital (AAH), a major hospital in Kuwait, over a ten-year period (2015–2024). Through detailed multivariate analyses, this study seeks to identify key risk factors associated with candidemia, including ICU admissions, comorbidities, and the use of invasive medical devices. Additionally, the antifungal susceptibility patterns of the isolated Candida spp. and related species were evaluated. By understanding these trends, healthcare providers can implement targeted interventions, strengthen infection control practices, and optimize antifungal therapy. Ultimately, this research seeks to reduce the burden of candidemia, improve patient survival, and inform public health strategies in hospital settings.

2. Materials and Methods

2.1. Study Design and Setting

This retrospective observational study was conducted in the Department of Microbiology at AAH, Kuwait, a 400-bed teaching hospital with a 15-bed surgical intensive care unit, a 25-bed medical intensive care unit, and specialized urology, renal dialysis, and kidney transplant units. The hospital serves approximately 400,000 people of various nationalities and provides clinical laboratory services to 22 polyclinics. This study included all episodes of candidemia recorded between 1 January 2015 and 31 December 2024.

2.2. Case Identification and Classification of Candidemia Episodes

Patients’ demographic data and the location of care at the onset of candidemia (or fungemia for other yeasts) were recorded. Blood samples were collected from each patient after obtaining verbal consent in accordance with hospital protocols and ethical guidelines, as part of routine patient care and diagnostic work-up. A candidemia episode was defined as the first positive blood culture yielding a specific Candida spp. or related species. Any additional positive cultures for the same species obtained within 30 days were considered part of the same episode to avoid duplication. A recurrent episode was defined as a new Candida-positive blood culture—caused by the same or a different species—occurring more than 30 days after the initial episode, provided there was documented clinical resolution of the prior infection and at least one intervening negative blood culture confirming clearance. Mixed candidemia cases were defined as those involving more than one Candida species during the same episode. Due to the retrospective design and limitations in documentation, detailed information regarding the number of blood culture sets, their timing relative to clinical symptoms (e.g., fever or chills), and the anatomical site of collection was not uniformly available and was therefore not included in the analysis.

2.3. Isolation, Species-Specific Identification, and Antifungal Susceptibility Testing of Yeast Isolates

The microbiology laboratory at AAH utilizes automated blood culture systems, including BACTEC 9240 (Becton Dickinson, Sparks, MD, USA), BacT/Alert 3D (bioMérieux, Marcyl’-Étoile, France), and VersaTREK™ 240 (Thermo Fisher Scientific, Waltham, MA, USA), for the isolation of yeasts from blood specimens. Species-level identification was initially performed using phenotypic methods with the VITEK 2 yeast identification system (bioMérieux, Marcy-l’Étoile, France) for assimilation profiling. Definitive identification was then confirmed using MALDI-TOF MS (VITEK® MS; bioMérieux, Marcy-l’Étoile, France) for protein profiling, following the manufacturer’s instructions, and in selected cases, molecular assays. Briefly, fresh yeast colonies were applied to a target plate, overlaid with a matrix solution containing α-cyano-4hydroxycinnamic acid (CHCA), air-dried, and analyzed using the VITEK® MS system. Identification was achieved by comparing the generated mass spectra against the IVD (in vitro diagnostic) reference database, enabling species-level classification based on unique protein fingerprints [10,11].
All growth-positive blood cultures were forwarded to the Mycology Reference Laboratory (MRL), where isolates were subcultured on Sabouraud dextrose agar for phenotypic identification based on colony characteristics, as previously described [12]. In accordance with laboratory protocols, all Candida bloodstream isolates were preserved at –80 °C in a strain archive and selectively subjected to molecular testing for epidemiological or research purposes, particularly in cases of suspected C. auris, rare or ambiguous species, or isolates exhibiting unusual antifungal resistance profiles.
For this retrospective study, molecular methods were applied to selected archived isolates to confirm identification and support epidemiological analysis. A multiplex PCR assay was used to differentiate C. parapsilosis sensu stricto from C. orthopsilosis and C. metapsilosis, as previously described [13]. PCR amplification of rDNA with species-specific primers was performed to confirm all C. auris and Clavispora lusitaniae (formerly Candida lusitaniae) isolates [12,14]. Additionally, isolates with atypical phenotypic features or antifungal resistance underwent sequencing of the internal transcribed spacer (ITS) region of rDNA using panfungal primers [15], providing definitive molecular identification.
Antifungal susceptibility testing (AFST) was conducted on a representative subset of 100 out of 323 Candida bloodstream isolates using the Sensititre® YeastOne™ system (Thermo Fisher Scientific, USA), which provides quantitative minimum inhibitory concentration (MIC) values in pre-dosed, colorimetric 96-well plates. Selection was based on resource limitations and aimed to ensure proportional species representation, temporal trends, and clinical relevance, including isolates from high-risk settings and treatment failures. The antifungal agents tested included fluconazole, itraconazole, posaconazole, voriconazole, anidulafungin, caspofungin, micafungin, amphotericin B, and 5-flucytosine.
Following the manufacturer’s instructions, the fungal inoculum was prepared to achieve a final organism density of approximately 1.5–8 × 103 CFU/mL (target range: 1–5 × 103 CFU/mL). Plates were incubated at 35 °C for 24–48 h in ambient air (non-CO2). MICs were determined visually after 24–48 h of incubation, defined as the lowest antifungal concentration that inhibited growth, indicated by the absence of a color change from blue to red or purple, in accordance with the manufacturer’s guidelines [16]. Interpretation of MICs for C. albicans, N. glabratus, C. parapsilosis, C. tropicalis, Pichia kudriavzevi, formerly known as Candida krusei, C. dubliniensis, and C. lusitaniae was based on species-specific Clinical and Laboratory Standards Institute (CLSI) breakpoints, following M27 and M44 guidelines [17]. Isolates were categorized as susceptible (S), susceptible-dose dependent (SDD), intermediate (I), or resistant (R), as applicable.
For C. auris, which lacks CLSI-defined breakpoints, tentative resistance thresholds derived from CLSI and EUCAST epidemiological cutoffs were used: fluconazole (≥32 µg/mL), voriconazole (≥2 µg/mL), posaconazole (≥2 µg/mL), itraconazole (≥2 µg/mL), echinocandins (≥4 µg/mL), amphotericin B (≥2 µg/mL), and 5-flucytosine (≥32 µg/mL) [18]. Quality control was performed using P. kudriavzevii ATCC 6258 and C. parapsilosis ATCC 22019, with results consistently falling within established CLSI quality control ranges (M27M44S) [17].

2.4. Statistical Analyses

Patients’ demographic data and clinical variables were analyzed using descriptive statistics. Categorical variables were expressed as frequencies and percentages, and continuous variables as medians with interquartile ranges (IQRs). Comparisons between groups were performed using Pearson’s Chi-square test or Fisher’s exact test, as appropriate. The clinical variables included in the analysis were gender, age, cancer, kidney disease, central venous access (CVA), ischemic heart disease (IHD), hypertension (HTN), diabetes mellitus, dyslipidemia, recent surgery, ventilator use, intravenous nutrition, central venous catheterization, and urinary catheterization. These variables were subsequently incorporated into the multivariate logistic regression model to identify species-specific risk factors for candidemia and predictors of mortality. Odds ratios (ORs) with 95% confidence intervals (CIs) and p-values were calculated, with p < 0.05 considered statistically significant.

3. Results

3.1. Demographic and Epidemiological Trends

As shown in Table 1, the incidence of candidemia at Al-Amiri Hospital significantly increased from 33 cases in 2015–2016 to 93 cases in 2023–2024 (χ2 = 22.14, p = 0.0002), representing a nearly threefold rise. Gender distribution was nearly equal throughout the study period (male: 49.8%, female: 50.2%), with no significant difference in incidence over time (χ2 = 0.002, p = 0.96).
The ≥65-year age group consistently bore the highest burden of candidemia, increasing from 19 cases in 2015–2016 to 57 cases in 2023–2024. The 50–64-year age group also showed a steady rise, while younger age groups remained relatively stable. Infants (≤1 year) were not affected, and the 1–19 year age group was minimally affected, with only two cases recorded in 2023–2024.
By hospital location, ICU cases accounted for 36–47% of all candidemia cases across the study period, while ward cases represented a higher overall proportion (59%). A significant association was found between hospital unit and candidemia incidence (χ2 = 6.145, p = 0.013). Among ward cases, 29% occurred in medical wards, 23% in surgical wards, and 7% in hemodialysis units.

3.2. Distribution of Candida spp. and Related Species

As shown in Table 2, C. albicans remained the most frequently isolated species over the 10-year period, although its proportion gradually declined. In contrast, C. auris emerged as a notable pathogen, rising from 0 cases in 2015–2016 to 22 cases in 2023–2024. N. glabratus, C. parapsilosis, and C. tropicalis were consistently detected, with C. parapsilosis showing a marked increase (Figure 1). Rare species such as P. kudriavzevii and Kodamaea ohmeri were infrequently isolated. Candidemia was most prevalent in patients ≥ 65 years, followed by those aged 50–64 years, with fewer cases in younger adults (20–49 years). While C. albicans remained overall dominant, N. glabratus and C. auris were more frequently isolated in older patients in terms of absolute case numbers, although their relative proportions varied across age groups. This reflects the overall higher burden of candidemia in elderly populations and highlights the emergence of resistant NAC spp. and related species in this demographic.
Overall, C. albicans accounted for 101 cases, followed by N. glabratus (n = 58), C. parapsilosis (n = 52), C. tropicalis (n = 46), and C. auris (n = 45). Most infections occurred in patients aged ≥65 years (60%), with a slight predominance among females, while pediatric cases were uncommon.

3.3. Shifting Trends in Candida Species over Time

As shown in Figure 1 and Table 3, a significant shift occurred in the distribution of Candida species, with a decline in C. albicans and a rise in NAC spp. and related species over time (χ2 = 32.85, p = 0.004). C. auris showed the most dramatic increase, from 0 cases in 2015–2016 to 22 cases in 2023–2024. C. parapsilosis also rose significantly, from 2 cases to 24 over the same period. In contrast, C. albicans declined modestly from 19 to 17 cases.
As presented in Figure 2, C. albicans remained the most common species isolated in both ICU and ward settings. However, C. auris was more prevalent among ward patients (31 cases) than ICU patients (14 cases). N. glabratus and C. parapsilosis were evenly distributed between the two locations, while C. tropicalis had a slightly higher prevalence in ward patients.

3.4. Antifungal Susceptibility Patterns of Candida Bloodstream Isolates

As shown in Table 4, antifungal susceptibility testing of Candida bloodstream isolates revealed some species-specific patterns. With the exception of C. auris, voriconazole, amphotericin B, 5-flucytosine, and echinocandins were effective against all identified species. Fluconazole resistance was observed in 14.3% of C. albicans, 25% of N. glabratus, and 8.3% of C. parapsilosis, while no resistance was detected in C. tropicalis. In contrast, C. auris exhibited near-universal resistance to fluconazole (97.4%) and moderate resistance to voriconazole (12.8%), based on CLSI breakpoint values. Resistance to echinocandins was also observed, ranging from 5.1% to 7.7% Additionally, low-level resistance to amphotericin B and 5-flucytosine (2.6% each) was observed in C. auris [19]. The geometric mean MIC values for echinocandins were consistently low across species, reinforcing their efficacy and supporting their continued use as first-line agents for candidemia.

3.5. Multivariate Analysis of Risk Factors for Species-Specific Candidemia and Mortality

Multivariate analysis identified several significant risk factors for species-specific candidemia and associated mortality (Table 5). For C. albicans, significant associations were found with cancer (OR: 5.94; p < 0.001), kidney disease (OR: 3.97; p = 0.001), ischemic heart disease (IHD) (OR: 4.43; p < 0.001), hypertension (HTN) (OR: 2.79; p = 0.005), diabetes mellitus (OR: 2.38; p = 0.012), dyslipidemia (OR: 2.79; p = 0.010), ventilator use (OR: 3.36; p = 0.016), and central venous catheterization (OR: 2.99; p = 0.048).
C. auris was negatively associated with cancer (OR: 0.33; p = 0.016), kidney disease (OR: 0.09; p < 0.001), HTN (OR: 0.31; p < 0.001), diabetes (OR: 0.44; p = 0.014), and dyslipidemia (OR: 0.29; p < 0.001), suggesting a distinct risk profile. It was also associated with reduced odds in urinary catheterized patients (OR: 0; p = 0.034).
For C. parapsilosis, central venous catheter use (OR: 4.18, 95% CI: 2.34–7.49, p < 0.001), surgery (OR: 2.91, 95% CI: 1.63–5.19, p = 0.008), total parenteral nutrition (OR: 3.71, 95% CI: 1.93–7.14, p = 0.002), and prolonged intravenous therapy over seven days (OR 2.43; 95% CI 1.36–4.34; p = 0.015) were the most significant risk factors, supporting the species’ well-established association with catheter-related and healthcare-acquired infections.
In terms of mortality, significant predictors included male gender (protective; OR: 0.60; p = 0.025), cancer (OR: 0.23; p < 0.001), kidney disease (OR: 2.62; p < 0.001), IHD (OR: 3.03; p < 0.001), HTN (OR: 1.71; p = 0.024), dyslipidemia (OR: 1.58; p = 0.043), ventilator use (OR: 1.91; p = 0.015), and absence of surgery (surgery protective; OR: 0.41; p < 0.001).
The median age of patients ranged from 58 years in C. auris cases to 75 years in C. albicans, with overall mortality occurring at a median age of 68 years. Male gender was not significantly associated with any specific Candida spp. and related species but was independently linked to lower overall mortality (OR: 0.60; p = 0.025). Mortality was significantly associated with underlying kidney disease, ischemic heart disease (IHD), hypertension, mechanical ventilation, and infection with NAC species (OR: 2.04; p = 0.011). In contrast, infection with C. albicans (OR: 0.20; p < 0.001) and the presence of cancer were associated with reduced mortality.

4. Discussion

This study represents the largest and most detailed single-center analysis of candidemia in Kuwait to date, documenting a nearly threefold increase in cases at AAH over the past decade. These findings underscore the growing burden of invasive fungal infections and align with global epidemiological trends [20,21]. The statistically significant rise in cases suggests a combination of evolving hospital practices, increased patient vulnerability, and shifts in Candida epidemiology [21].
The nearly equal male-to-female ratio observed in our study is consistent with findings from both global and regional investigations [6,22]. Although some reports have documented a slight male predominance [22], recent studies from Gulf countries increasingly support a balanced 1:1 gender distribution in candidemia cases [23]. While subtle sex-based immunological differences may affect susceptibility in specific populations, the overall risk appears comparable between men and women when adjusted for underlying comorbidities [24]. This understanding has important implications for both clinical practice and epidemiological surveillance. It emphasizes that prevention strategies and diagnostic vigilance for candidemia should be implemented uniformly across all patients, regardless of gender [25].
Our findings reaffirm that older adults (≥65 years) are at highest risk for candidemia, consistent with global studies [26]. This increased susceptibility in the elderly is attributed to factors such as age-related immune dysfunction, multiple comorbidities, frequent hospitalizations, and prolonged use of invasive medical devices. For instance, a study analyzing 175 episodes of candidemia in elderly patients reported a mean age of 76.4 years, with cancer and diabetes mellitus being the most common underlying conditions [26]. Additionally, the rising incidence among middle-aged adults (50–64 years) may be linked to chronic illnesses and invasive treatments, highlighting a broader shift in candidemia epidemiology toward both elderly and other high-risk populations [25,26]. These trends necessitate targeted surveillance and prophylactic strategies for both age groups.
Interestingly, general ward patients constituted a higher proportion of candidemia cases compared to ICU patients, challenging the traditional association of candidemia with intensive care settings. This shift may reflect better ICU-based infection control and an expanding candidemia burden among non-critically ill, comorbid patients [27,28]. Recent studies in Italy and Korea similarly report increased candidemia rates in general wards, indicating a broader hospital-wide distribution [29,30].
Species distribution trends in our study align with both regional and international reports documenting a significant epidemiological shift from C. albicans to NAC spp. and related species, notably C. auris, C. parapsilosis, and N. glabratus [31,32]. Over the past decade, Gulf hospitals—including those in Kuwait, Saudi Arabia, and Bahrain—have reported a rising prevalence of NAC spp. and related species as leading causes of hospital-associated candidemia. In Kuwait, a 2018 national survey found that NAC spp. and related species comprised the majority of bloodstream isolates, with C. parapsilosis, C. tropicalis, C. auris, and N. glabratus collectively dominating the species landscape [6]. Notably, C. auris emerged rapidly, nearly matching N. glabratus in frequency, a trend echoed across neighboring Gulf countries [22,23].
In our study, C. auris was more commonly isolated from ward patients than ICU patients, suggesting hospital-wide transmission dynamics rather than ICU-specific clustering. As highlighted by Arendrup and Patterson [33], effective containment of C. auris requires rigorous environmental cleaning and enhanced diagnostic capabilities. On the other hand, the increasing prevalence of C. parapsilosis in our setting may reflect a rise in catheter-associated bloodstream infections, given its strong affinity for biofilm formation on medical devices [34]. This reinforces the importance of meticulous catheter care, especially among patients receiving total parenteral nutrition or prolonged intravenous therapy. Additionally, N. glabratus was frequently associated with prior fluconazole exposure and underlying malignancies [11], underscoring the role of antifungal selection pressure and the need for targeted surveillance and stewardship interventions.
Antifungal susceptibility testing of bloodstream Candida isolates from our study provided critical insights into resistance patterns across species. The findings reveal notable variability, particularly among NAC spp. and related species, with implications for empirical therapy and antifungal stewardship in Kuwait [21]. C. albicans demonstrated generally favorable susceptibility patterns, with fluconazole resistance observed in only 14.3% of isolates, while all isolates remain fully susceptibility to amphotericin B and echinocandins [32,35]. In contrast, C. auris exhibited a markedly concerning resistance profile—fluconazole resistance was nearly universal (97.4%), with additional resistance to voriconazole (12.8%) and echinocandins (5.1–7.7%). These findings are consistent with previous reports from Kuwait and neighboring countries [32] and reinforce the current recommendation of echinocandins as the first-line treatment for C. auris candidemia [36,37].
N. glabratus showed moderate fluconazole resistance (25%). While echinocandin resistance was not observed in our study, ongoing surveillance remains important given the global emergence of N. glabratus strains with FKS mutations [21]. These findings underscore the importance of local antifungal susceptibility data to guide therapy [38]. Both C. parapsilosis and C. tropicalis displayed excellent susceptibility to all antifungal agents tested. This susceptibility pattern supports the continued efficacy of azoles and echinocandins for these species [12]. Overall, our findings reinforce the importance of species-level identification and local susceptibility data [37,39],.
The comparative multivariate analysis highlights notable differences in risk factors associated with candidemia caused by C. albicans, N. glabratus, and C. auris, as well as predictors of mortality. Male gender was not significantly associated with infection by any of the three major Candida species; however, it was significantly associated with a lower risk of mortality (OR = 0.60, p = 0.025), suggesting a possible survival advantage [40]. Cancer was strongly associated with increased risk of C. albicans and N. glabratus, consistent with previous studies reporting that malignancy, chemotherapy, and central line use predispose patients to these infections [38]. Interestingly, cancer was inversely associated with C. auris and mortality, which may be due to differences in care intensity or early identification in oncology settings [41].
Hypertension was associated with both C. albicans and N. glabratus, and with increased mortality, but showed no significant association with C. auris. Furthermore, diabetes mellitus and dyslipidemia increased the odds of C. albicans and N. glabratus candidemia, aligning with studies highlighting metabolic disorders as risk factors for invasive candidiasis. However, their inverse association with C. auris may reflect different transmission dynamics and environmental persistence rather than classical host susceptibility [37]. Surgical history was a strong predictor of N. glabratus infection (OR = 6.08), in line with prior evidence linking surgical patients with increased risk for N. glabratus fungemia due to gut translocation or mucosal barrier disruption. Paradoxically, surgery was inversely associated with mortality (OR = 0.41), potentially reflecting closer monitoring and more timely interventions in post-operative patients [37]. Mechanical ventilation was associated with both C. albicans and mortality, reinforcing its role as a surrogate for critical illness severity. Central venous catheterization showed a strong association with N. glabratus (OR = 10.57), a finding widely recognized in both local and international studies of catheter-related candidemia [39].
Importantly, C. auris displayed an inverse association with many traditional risk factors such as cancer, kidney disease, diabetes, and dyslipidemia, underscoring its distinct epidemiologic behavior. Its spread has been predominantly linked to nosocomial outbreaks, environmental contamination, and poor disinfection practices, as observed in multiple Gulf-based reports [35].
C. parapsilosis showed the strongest associations with intravascular devices, surgery, and parenteral nutrition, reinforcing its role as a healthcare-associated pathogen. Mortality was highest among patients with chronic kidney disease, ischemic heart disease, and those requiring mechanical ventilation, highlighting the impact of host comorbidities and critical illness on outcomes.
Although COVID-19 status was not specifically assessed in this study, the modest increase in candidemia cases during 2020–2022 coincided with the pandemic. However, this trend was already evident prior to the pandemic and persisted thereafter, suggesting that broader factors—such as ICU burden, increased use of invasive devices, and the emergence of drug-resistant species—were the primary drivers of candidemia in our setting.
This study has several limitations, including its retrospective design, which may introduce reporting bias and incomplete clinical data. This study lacked consistent data on the primary source of infection preceding candidemia, which limited the ability to analyze source-specific risk factors such as catheter-related or intra-abdominal infections. Antifungal susceptibility testing was limited to a representative subset of isolates due to resource constraints. COVID-19 status was not consistently available in the dataset, limiting the evaluation of its potential impact on candidemia trends. The single-center setting may also affect the generalizability of findings to other institutions. Additionally, advanced molecular techniques such as whole-genome sequencing were not routinely employed, limiting insights into transmission dynamics. Overall, our findings underscore that risk factors for candidemia are species-specific. This has direct clinical implications for diagnosis, empirical therapy, and infection control. In the era of emerging multidrug-resistant species such as C. auris, targeted surveillance, antifungal stewardship, and species-level diagnostics are critical for optimizing patient outcomes and curbing hospital transmission.

5. Conclusions

In this 10-year study at a general hospital in Kuwait, we observed a rising incidence of candidemia and a marked shift in the causative species from a predominance of C. albicans to NAC spp. and related species, notably C. auris and C. parapsilosis. ICU admission, advanced age, and the presence of multiple comorbidities emerged as significant risk factors for candidemia. Notably, C. auris isolates exhibited high levels of resistance to antifungal agents, raising concern about the limited treatment options and necessitating robust antifungal stewardship efforts. These findings highlight the importance of early species identification and awareness of local susceptibility patterns to guide timely and appropriate therapy. They also underscore the need for stringent infection control measures to prevent the spread of resistant strains, particularly C. auris.

Author Contributions

Conceptualization, K.A.B.; methodology, K.A.B.; software, D.A.B. and M.J.; validation, K.A.B.; formal analysis, K.A.B. and S.A.; investigation, K.A.B., D.A.B. and M.J.; resources, K.A.B.; data curation, K.A.B., D.A.B. and M.J.; writing—original draft preparation, K.A.B. and S.A.; writing—review and editing, S.A. and K.A.B.; supervision, K.A.B.; project administration, K.A.B.; funding acquisition, K.A.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Kuwait University, grant number [MI02/21].

Institutional Review Board Statement

This study was approved by the Health Sciences Centre, Ethical Committee of Kuwait University (Ref: VDR/EC-3983) on 14 December 2021.

Informed Consent Statement

Not applicable for study.

Data Availability Statement

All relevant data are within the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
MICMinimum inhibitory concentration
NACNon-albicans Candida

References

  1. 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] [PubMed]
  2. Bongomin, F.; Gago, S.; Oladele, R.O.; Denning, D.W. Global and Multi-National Prevalence of Fungal Diseases-Estimate Precision. J. Fungi 2017, 3, 57. [Google Scholar] [CrossRef]
  3. Parslow, B.Y.; Thornton, C.R. Continuing Shifts in Epidemiology and Antifungal Susceptibility Highlight the Need for Improved Disease Management of Invasive Candidiasis. Microorganisms 2022, 10, 1208. [Google Scholar] [CrossRef]
  4. Lamoth, F.; Lockhart, S.R.; Berkow, E.L.; Calandra, T. Changes in the epidemiological landscape of invasive candidiasis. J. Antimicrob. Chemother. 2018, 73 (Suppl. S1), i4–i13. [Google Scholar] [CrossRef] [PubMed]
  5. Denning, D.W. Global incidence and mortality of severe fungal disease. Lancet Infect. Dis. 2024, 24, e428–e438. [Google Scholar] [CrossRef]
  6. Alobaid, K.; Ahmad, S.; Asadzadeh, M.; Mokaddas, E.; Al-Sweih, N.; Albenwan, K.; Alfouzan, W.; Al-Obaid, I.; Jeragh, A.; Al-Roomi, E.; et al. Epidemiology of Candidemia in Kuwait: A Nationwide, Population-Based Study. J. Fungi 2021, 7, 673. [Google Scholar] [CrossRef] [PubMed]
  7. Alfouzan, W.; Al-Wathiqi, F.; Altawalah, H.; Asadzadeh, M.; Khan, Z.; Denning, D.W. Human Fungal Infections in Kuwait-Burden and Diagnostic Gaps. J. Fungi 2020, 6, 306. [Google Scholar] [CrossRef]
  8. Khan, Z.; Ahmad, S.; Al-Sweih, N.; Mokaddas, E.; Al-Banwan, K.; Alfouzan, W.; Al-Obaid, I.; Al-Obaid, K.; Asadzadeh, M.; Jeragh, A.; et al. Changing trends in epidemiology and antifungal susceptibility patterns of six bloodstream Candida species isolates over a 12-year period in Kuwait. PLoS ONE 2019, 14, e0216250. [Google Scholar] [CrossRef] [PubMed]
  9. Bhargava, A.; Klamer, K.; Sharma, M.; Ortiz, D.; Saravolatz, L. Candida auris: A Continuing Threat. Microorganisms 2025, 13, 652. [Google Scholar] [CrossRef]
  10. Jamal, W.; Ahmad, S.; Khan, Z.U.; Rotimi, V.O. Comparative evaluation of two matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) systems for the identification of clinically significant yeasts. Int. J. Infect. Dis. 2014, 26, 167–170. [Google Scholar] [CrossRef] [PubMed]
  11. Al-Obaid, K.; Asadzadeh, M.; Ahmad, S.; Khan, Z. Population structure and molecular genetic characterization of clinical Candida tropicalis isolates from a tertiary-care hospital in Kuwait reveal infections with unique strains. PLoS ONE 2017, 12, e0182292. [Google Scholar] [CrossRef] [PubMed]
  12. Khan, Z.U.; Ahmad, S.; Al-Sweih, N.; Joseph, L.; Alfouzan, F.; Asadzadeh, M. Increasing prevalence, molecular characterization and antifungal drug susceptibility of serial Candida auris isolates in Kuwait. PLoS ONE 2018, 13, e0195743. [Google Scholar] [CrossRef]
  13. Asadzadeh, M.; Ahmad, S.; Hagen, F.; Meis, J.F.; Al-Sweih, N.; Khan, Z. Simple, low-cost detection of Candida parapsilosis complex isolates and molecular fingerprinting of Candida orthopsilosis strains in Kuwait by ITS region sequencing and amplified fragment length polymorphism analysis. PLoS ONE 2015, 10, e0142880. [Google Scholar] [CrossRef]
  14. Khan, Z.; Ahmad, S.; Al-Sweih, N.; Khan, S.; Joseph, L. Candida lusitaniae in Kuwait: Prevalence, antifungal susceptibility and role in neonatal fungemia. PLoS ONE 2019, 14, e0213532. [Google Scholar] [CrossRef]
  15. Khan, Z.U.; Ahmad, S.; Hagen, F.; Fell, J.W.; Kowshik, T.; Chandy, R.; Boekhout, T. Cryptococcus randhawai sp. nov., a novel anamorphic basidiomycetous yeast isolated from tree trunk hollow of Ficus religiosa (peepal tree) from New Delhi, India. Antonie Leeuwenhoek 2010, 97, 253–259. [Google Scholar] [CrossRef]
  16. TREK Diagnostic Systems. Sensititre YeastOne® Susceptibility Testing: Manufacturer’s Instructions; TREK Diagnostic Systems: East Grinstead, UK, 2018. [Google Scholar]
  17. Clinical and Laboratory Standards Institute (CLSI). Performance Standards for Antifungal Susceptibility Testing of Yeasts, 3rd ed.; CLSI Supplement M27M44S; CLSI: Wayne, PA, USA, 2022. [Google Scholar]
  18. Centers for Disease Control and Prevention (CDC). Antifungal Susceptibility Testing and Interpretation for Candida auris. 2023. Available online: http://www.cdc.gov/candida-auris/hcp/laboratories/antifungal-susceptibility-testing.html (accessed on 1 June 2025).
  19. Clinical and Laboratory Standards Institute (CLSI). Reference Method for Broth Dilution Antifungal Susceptibility Testing of Yeasts, 4th ed.; CLSI Standard M27; CLSI: Wayne, PA, USA, 2017. [Google Scholar]
  20. 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]
  21. Pfaller, M.A.; Diekema, D.J. Epidemiology of invasive candidiasis: A persistent public health problem. Clin. Microbiol. Rev. 2007, 20, 133–163. [Google Scholar] [CrossRef]
  22. Alkhalifa, W.; Alhawaj, H.; Alamri, A.; Alturki, F.; Alshahrani, M.; Alnimr, A. Clinical and Microbiological Characteristics of Candidemia Cases in Saudi Arabia. Infect. Drug Resist. 2023, 16, 4489–4503. [Google Scholar] [CrossRef]
  23. Saeed, N.K.; Almusawi, S.; Al-Beltagi, M. Candidemia chronicles: Retrospective analysis of candidemia epidemiology, species distribution, and antifungal susceptibility patterns in Bahrain. World J. Virol. 2024, 13, 98839. [Google Scholar] [CrossRef]
  24. Egger, M.; Hoenigl, M.; Thompson, G.R., 3rd; Carvalho, A.; Jenks, J.D. Let’s talk about sex characteristics-As a risk factor for invasive fungal diseases. Mycoses 2022, 65, 599–612. [Google Scholar] [CrossRef] [PubMed]
  25. Toda, M.; Williams, S.R.; Berkow, E.L.; Farley, M.M.; Harrison, L.H.; Bonner, L.; Marceaux, K.M.; Hollick, R.; Zhang, A.Y.; Schaffner, W.; et al. Population-Based Active Surveillance for Culture-Confirmed Candidemia—Four Sites, United States, 2012-2016. MMWR Surveill. Summ. 2019, 68, 1–15. [Google Scholar] [CrossRef]
  26. Tang, H.J.; Liu, W.L.; Lin, H.L.; Lai, C.C. Epidemiology and prognostic factors of candidemia in elderly patients. Geriatr. Gerontol. Int. 2015, 15, 688–693. [Google Scholar] [CrossRef]
  27. Poissy, J.; Damonti, L.; Bignon, A.; Khanna, N.; Von Kietzell, M.; Boggian, K.; Neofytos, D.; Vuotto, F.; Coiteux, V.; Artru, F.; et al. Risk factors for candidemia: A prospective matched case-control study. Crit. Care 2020, 24, 109. [Google Scholar] [CrossRef]
  28. Bilal, H.; Zhang, D.; Shafiq, M.; Khan, M.N.; Chen, C.; Khan, S.; Wang, Q.; Cai, L.; Islam, R.; Hu, H.; et al. Six-Year Retrospective Analysis of Epidemiology, Risk Factors, and Antifungal Susceptibilities of Candidiasis from a Tertiary Care Hospital in South China. Microbiol. Spectr. 2023, 11, e00708-28. [Google Scholar] [CrossRef]
  29. Mazzanti, S.; Brescini, L.; Morroni, G.; Orsetti, E.; Pocognoli, A.; Donati, A.; Cerutti, E.; Munch, C.; Montalti, R.; Barchiesi, F. Candidemia in intensive care units over nine years at a large Italian university hospital: Comparison with other wards. PLoS ONE 2021, 16, e0252165. [Google Scholar] [CrossRef]
  30. 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]
  31. 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, S79–S94. [Google Scholar] [CrossRef] [PubMed]
  32. Lockhart, S.R.; Etienne, K.A.; Vallabhaneni, S.; Farooqi, J.; Chowdhary, A.; Govender, N.P.; Colombo, A.L.; Calvo, B.; Cuomo, C.A.; Desjardins, C.A.; et al. Simultaneous Emergence of Multidrug-Resistant Candida auris on 3 Continents Confirmed by Whole-Genome Sequencing and Epidemiological Analyses. Clin. Infect. Dis. 2017, 64, 134–140. [Google Scholar] [CrossRef] [PubMed]
  33. Arendrup, M.C.; Patterson, T.F. Multidrug-Resistant Candida: Epidemiology, Molecular Mechanisms, and Treatment. J. Infect. Dis. 2017, 216 (Suppl. S3), S445–S451. [Google Scholar] [CrossRef]
  34. Yamin, D.H.; Husin, A.; Harun, A. Risk Factors of Candida parapsilosis Catheter-Related Bloodstream Infection. Front. Public Health 2021, 9, 631865. [Google Scholar] [CrossRef]
  35. Al-Siyabi, T.; Al Busaidi, I.; Balkhair, A.; Al-Muharrmi, Z.; Al-Salti, M.; Al’Adawi, B. First report of Candida auris in Oman: Clinical and microbiological description of five candidemia cases. J. Infect. 2017, 75, 373–376. [Google Scholar] [CrossRef]
  36. Kullberg, B.J.; Arendrup, M.C. Invasive Candidiasis. N. Engl. J. Med. 2015, 373, 1445–1456. [Google Scholar] [CrossRef]
  37. Bassetti, M.; Righi, E.; Montravers, P.; Cornely, O.A. What has changed in the treatment of invasive candidiasis? A look at the past 10 years and ahead. J. Antimicrob. Chemother. 2018, 73 (Suppl. S1), i14–i25. [Google Scholar] [CrossRef] [PubMed]
  38. Hayes, J.F. Candida auris: Epidemiology Update and a Review of Strategies to Prevent Spread . J. Clin. Med. 2024, 13, 6675. [Google Scholar] [CrossRef]
  39. Pappas, P.G.; Lionakis, M.S.; Arendrup, M.C.; Ostrosky-Zeichner, L.; Kullberg, B.J. Invasive candidiasis. Nat. Rev. Dis. Primers 2018, 4, 18026. [Google Scholar] [CrossRef]
  40. Eachempati, S.R.; Hydo, L.; Barie, P.S. Gender-based differences in outcome in patients with sepsis. Arch. Surg. 1999, 134, 1342–1347. [Google Scholar] [CrossRef] [PubMed]
  41. Vallabhaneni, S.; Jackson, B.R.; Chiller, T.M. Candida auris: An Emerging Antimicrobial Resistance Threat. Ann. Intern. Med. 2019, 171, 432–433. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Temporal trends in the distribution of Candida spp. and related species causing candidemia at AAH, Kuwait (2015–2024). This bar chart shows the annual distribution of Candida spp. and related yeast species isolated from bloodstream infections over a 10-year period. The Y-axis represents the number of candidemia cases per species. C. albicans remained the most frequently isolated species, but its proportion declined markedly from 57.6% in 2015–2016 to 18.3% in 2023–2024. In contrast, non-albicans Candida (NAC) species showed a progressive increase, particularly C. auris (emerging from 0 to 22 cases) and C. parapsilosis (rising from 2 to 24 cases). Other species, including N. glabratus and C. tropicalis, were consistently detected, while rare isolates such as P. kudriavzevii and K. ohmeri appeared sporadically. Overall, the species distribution shift was statistically significant (χ2 = 32.85, p = 0.004), underscoring the rising burden of multidrug-resistant NAC spp. and related species and their clinical importance in candidemia.
Figure 1. Temporal trends in the distribution of Candida spp. and related species causing candidemia at AAH, Kuwait (2015–2024). This bar chart shows the annual distribution of Candida spp. and related yeast species isolated from bloodstream infections over a 10-year period. The Y-axis represents the number of candidemia cases per species. C. albicans remained the most frequently isolated species, but its proportion declined markedly from 57.6% in 2015–2016 to 18.3% in 2023–2024. In contrast, non-albicans Candida (NAC) species showed a progressive increase, particularly C. auris (emerging from 0 to 22 cases) and C. parapsilosis (rising from 2 to 24 cases). Other species, including N. glabratus and C. tropicalis, were consistently detected, while rare isolates such as P. kudriavzevii and K. ohmeri appeared sporadically. Overall, the species distribution shift was statistically significant (χ2 = 32.85, p = 0.004), underscoring the rising burden of multidrug-resistant NAC spp. and related species and their clinical importance in candidemia.
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Figure 2. Distribution of Candida spp. and related species in wards and intensive care units (ICUs) at AAH, Kuwait (2015–2024). The chart shows the number of isolates for each Candida spp. and related species, highlighting C. albicans as the most common in both settings. Notably, C. auris was more prevalent among general ward patients, while N. glabratus and C. parapsilosis were evenly distributed at AAH from 2015 to 2024.
Figure 2. Distribution of Candida spp. and related species in wards and intensive care units (ICUs) at AAH, Kuwait (2015–2024). The chart shows the number of isolates for each Candida spp. and related species, highlighting C. albicans as the most common in both settings. Notably, C. auris was more prevalent among general ward patients, while N. glabratus and C. parapsilosis were evenly distributed at AAH from 2015 to 2024.
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Table 1. Distribution of candidemia patients in Al-Amiri Hospital, Kuwait (2015–2024).
Table 1. Distribution of candidemia patients in Al-Amiri Hospital, Kuwait (2015–2024).
YearTotal No. of
Patients
GenderNo. Candidemia of Patients of Different Age (Years)Hospital Unit
MaleFemale≤11–1920–4950–64≥65ICUWard
2015–2016331221--681912 (36%)21 (64%)
2017–2018472225--483519 (40%)28 (60%)
2019–2020643727--14203025 (38%)39 (62%)
2021–2022864244-214195140 (47%)46 (53%)
2023–2024934845--14245536 (39%)57 (61%)
Total323161 (49.8%)162 (50.2%)-25279190132 (41%)191 (59%)
Table 2. Age and gender distribution of patients diagnosed with candidemia.
Table 2. Age and gender distribution of patients diagnosed with candidemia.
Age of Candidemia Patients (Years)Candida spp. and Related Species Isolates Identified asTotal
C. albicans,
n = 101
C. parapsilosis, n = 52C. tropicalis,
n = 46
C. auris,
n = 45
N. glabratus,
n = 58
Others
n = 21
MFMFMFMFMFMF
≤1-------------
1–19----2-------2
20–492855728176-152
50–641766934105773279
≥65323611161216813141778190
Total515022302422261928301011323
Table 3. Spectrum of Candida spp. and related species isolated from candidemia patients in Al-Amiri Hospital, Kuwait (2015–2024).
Table 3. Spectrum of Candida spp. and related species isolated from candidemia patients in Al-Amiri Hospital, Kuwait (2015–2024).
Organism2015–20162017–20182019–20202021–20222023–2024
Candida albicans1918262117
Candidozyma auris0171522
Nakaseomyces glabratus48131716
Candida parapsilosis2581324
Candida tropicalis61181110
Others *24294
Total3347648693
* Candida ciferrii, n = 1; Candida dubliniensis, n = 4; Candididozyma haemuli (formerly Candida haemulonii), n = 3; Pichia kudriavzevii, n = 5; Yarrowia lipolytica (formerly Candida lipolytica), n = 1; Clavispora lusitaniae (formerly Candida lusitaniae), n = 3; Cyberlindnera jadinii (formerly Candida utilis), n = 2; Kodamaea ohmeri, n = 2.
Table 4. Antifungal susceptibility profiles of Candida spp. and related species isolated from bloodstream.
Table 4. Antifungal susceptibility profiles of Candida spp. and related species isolated from bloodstream.
OrganismAntifungalRangeGMMIC50MIC90No. Resistant Isolates (%)
Candida albicans (14)     
 Fluconazole0.25–2560.8620.5162 (14.3%)
 Posaconazole0.008–0.030.0110.0080.0150 (0.0%)
 Voriconazole0.008–0.030.0110.0080.0150 (0.0%)
 Amphotericin B0.12–10.2470.250.50 (0.0%)
 Anidulafungin0.015–0.120.0420.060.060 (0.0%)
 Caspofungin0.06–0.250.1210.120.250 (0.0%)
 Micafungin0.008–80.0670.0310 (0.0%)
 5-Flucytosine<0.06–0.250.060.060.060 (0.0%)
Candidozyma auris * (39)     
 Fluconazole0.25–25670.286425638 (97.4%)
 Posaconazole0.008–10.0480.060.12N/A
 Voriconazole0.06–80.4010.515 (12.8%)
 Amphotericin B0.25–21121 (2.6%)
 Anidulafungin0.06–20.1620.120.123 (7.7%)
 Caspofungin0.12–80.2650.2512 (5.1%)
 Micafungin0.015–40.0830.060.122 (5.1%)
 5-Flucytosine<0.06–640.1210.060.121 (2.6%)
Nakaseomyces glabratus (16)     
 Fluconazole0.25–643.674644 (25.0%)
 Posaconazole0.25–81.38218N/A
 Voriconazole0.12–40.4990.2540 (0.0%)
 Amphotericin B0.25–0.50.4390.50.50 (0.0%)
 Anidulafungin0.03–0.120.0630.060.120 (0.0%)
 Caspofungin0.12–640.6270.1280 (0.0%)
 Micafungin0.015–10.0310.0150.50 (0.0%)
 5-Flucytosine<0.060.060.060.060 (0.0%)
Candida parapsilosis (12)     
 Fluconazole0.12–1280.7910.521 (8.3%)
 Posaconazole0.015–0.120.0480.0450.12N/A
 Voriconazole0.008–0.060.0150.0080.060 (0.0%)
 Amphotericin B0.12–20.3110.2510 (0.0%)
 Anidulafungin0.06–20.4420.520 (0.0%)
 Caspofungin0.12–20.4980.520 (0.0%)
 Micafungin0.008–20.3320.510 (0.0%)
 5-Flucytosine<0.06–0.50.0910.060.50 (0.0%)
Candida tropicalis (16)     
 Fluconazole0.5–41.587140 (0.0%)
 Posaconazole0.03–0.50.1080.120.5N/A
 Voriconazole0.015–0.250.080.090.250 (0.0%)
 Amphotericin B0.50.50.50.50 (0.0%)
 Anidulafungin0.03–0.50.0960.060.50 (0.0%)
 Caspofungin0.06–0.250.1740.250.250 (0.0%)
 Micafungin0.03–0.50.0680.030.50 (0.0%)
 5-Flucytosine<0.060.060.060.060 (0.0%)
* C. auris breakpoints are tentative (per CDC/CLSI guidelines); (GM) geometric mean; (MIC50) MIC inhibiting 50% of organisms; (MIC90) MIC inhibiting 90% of organisms.
Table 5. Multivariate analysis of risk factors for Candida species-specific candidemia and associated mortality *.
Table 5. Multivariate analysis of risk factors for Candida species-specific candidemia and associated mortality *.
Risk FactorC. albicans OR
(95% CI)
p-ValueN. glabratus OR
(95% CI)
p-ValueC. auris OR
(95% CI)
p-ValueC. parapsilosis OR
(95% CI)
p-ValueMortality OR
(95% CI)
p-Value
Gender, male1.04 (0.65–1.66)0.9050.95 (0.54–1.67)0.8861.45 (0.77–2.74)0.2651.05 (0.58–1.89)0.8700.60 (0.38–0.93)0.025
Age (per 10-year)75 (32–88) 69 (39–92) 58 (28–92) 68 (16–104) 1.17 (0.96–1.42)0.033
Cancer5.94 (2.86–12.90)<0.0013.32 (1.68–6.50)<0.0010.33 (0.10–0.87)0.0160.75 (0.40–1.41)0.3700.23 (0.12–0.41)<0.001
Chronic kidney disease3.97 (1.62–10.21)0.0010.88 (0.43–1.74)0.7490.09 (0.02–0.31)<0.0010.92 (0.48–1.78)0.8102.62 (1.62–4.27)<0.001
Cerebrovascular accident2.73 (0.68–11.61)0.1050.50 (0.12–1.50)0.2631.36 (0.51–3.28)0.4901.32 (0.52–3.36)0.5601.44 (0.77–2.74)0.232
Ischemic heart disease4.43 (1.76–11.85)<0.0010.95 (0.46–1.88)1.0000.77 (0.35–1.60)0.5011.14 (0.63–2.07)0.6703.03 (1.86–5.00)<0.001
Hypertension2.79 (1.33–5.91)0.0052.92 (1.57–5.54)<0.0010.31 (0.14–0.64)<0.0011.22 (0.68–2.19)0.5101.71 (1.07–2.75)0.024
Diabetes mellitus2.38 (1.17–4.82)0.0121.69 (0.92–3.15)0.0810.44 (0.22–0.88)0.0141.09 (0.60–1.99)0.7801.26 (0.77–2.05)0.351
Dyslipidemia2.79 (1.18–6.68)0.0102.06 (1.10–3.86)0.0170.29 (0.11–0.65)<0.0011.31 (0.73–2.36)0.3701.58 (0.99–2.53)0.043
Surgery1.56 (0.77–3.13)0.2246.08 (2.95–13.61)<0.0010.69 (0.35–1.38)0.3232.91 (1.63–5.19)0.0080.41 (0.24–0.68)<0.001
Mechanical ventilation3.36 (1.12–10.75)0.0160.29 (0.07–0.84)0.0140.68 (0.26–1.58)0.4481.18 (0.66–2.11)0.5801.91 (1.12–3.29)0.015
Total parenteral nutrition2.67 (0.75–9.90)0.1220.85 (0.30–2.07)0.8341.04 (0.39–2.45)1.0003.71 (1.93–7.14)0.0021.41 (0.78–2.55)0.261
Central venous catheter2.99 (0.96–9.77)0.04810.57 (5.34–21.38)<0.0010.75 (0.29–1.76)0.5644.18 (2.34–7.49)<0.0011.64 (0.95–2.84)0.068
Prolonged IV therapy (>7 d)2.43 (1.36–4.34)0.015
Urinary catheter3.35 (0.38–40.77)0.1790 (0–1.08)0.0500 (0–0.98)0.0341.55 (0.84–2.86)0.1601.76 (0.71–4.53)0.213
* CVA, central venous access; IHD, ischemic heart disease; HTN, hypertension. N. glabratus was independently associated with cancer (OR: 3.32; p < 0.001), HTN (OR: 2.92; p <10 0.001), dyslipidemia (OR: 2.06; p = 0.017), surgery (OR: 6.08; p < 0.001), ventilator use (protective; OR: 0.29; p = 0.014), and central venous catheterization (OR: 10.57; p < 0.001).
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Al Benwan, K.; Ahmed, S.; Al Banwan, D.; John, M. Candidemia in a General Hospital in Kuwait: Epidemiology, Species Distribution, Risk Factors, and Antifungal Susceptibility Patterns over a 10-Year Period (2015–2024). J. Fungi 2025, 11, 670. https://doi.org/10.3390/jof11090670

AMA Style

Al Benwan K, Ahmed S, Al Banwan D, John M. Candidemia in a General Hospital in Kuwait: Epidemiology, Species Distribution, Risk Factors, and Antifungal Susceptibility Patterns over a 10-Year Period (2015–2024). Journal of Fungi. 2025; 11(9):670. https://doi.org/10.3390/jof11090670

Chicago/Turabian Style

Al Benwan, Khalifa, Sarah Ahmed, Dalal Al Banwan, and Maria John. 2025. "Candidemia in a General Hospital in Kuwait: Epidemiology, Species Distribution, Risk Factors, and Antifungal Susceptibility Patterns over a 10-Year Period (2015–2024)" Journal of Fungi 11, no. 9: 670. https://doi.org/10.3390/jof11090670

APA Style

Al Benwan, K., Ahmed, S., Al Banwan, D., & John, M. (2025). Candidemia in a General Hospital in Kuwait: Epidemiology, Species Distribution, Risk Factors, and Antifungal Susceptibility Patterns over a 10-Year Period (2015–2024). Journal of Fungi, 11(9), 670. https://doi.org/10.3390/jof11090670

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