Risk factors and lethality associated with Candidemia in severe COVID-19 patients

Document Type : Original Articles


1 Health Science University, Kayseri Faculty of Medicine, Department of Infectious Diseases, Kayseri, Turkey

2 Health Science University, Kayseri Faculty of Medicine, Department of Intensive Care Unit, Kayseri, Turkey

3 Health Science University, Kayseri Faculty of Medicine, Department of Mycology, Kayseri, Turkey



Background and Purpose: Candidemia remained important in the intensive care units
(ICU) during the COVID-19 pandemic. This study aimed to investigate the clinical and laboratory data on candidemia in COVID-19 patients.
Materials and Methods: The baseline characteristics, as well as laboratory and clinical
findings of candidemia and non-candidemia patients, were compared. Candidemia was defined as the isolation of Candida spp. from blood cultures. The isolates were identified by VITEK® 2 (bioMérieux, France) commercial method. Antifungal susceptibility was assessed using the E-test method. Univariate and multiple binary logistic regression analyses were performed to compare the variables.
Results: In total, 126 patients with the COVID-19 disease were included. Candidemia
was diagnosed in 44 (35%) of the patients. The number of patients with diabetes mellitus and chronic renal failure was higher in the candidemia group. In the candidemia group, the duration of ICU stay of patients, the 30-day mortality rate, mechanical ventilation therapy, and systemic corticosteroids (Prednisone) usage were significantly higher in candidemia patients. Moreover, the median white blood cell, neutrophils, and lactate dehydrogenase were higher in the candidemia group. Univariate and multiple binary logistic regression analyses were performed to compare the variables. Isolated species were identified as Candida albicans (n=12, 41%), Candida parapsilosis (n=7, 24%), Candida glabrata (n=6, 21%), Candida tropicalis (n=3, 10%), and Candida dublinensis (n=1, 3%). In total, three isolates of six C. glabrata species had dose-dependent sensitivity to fluconazole, and one C. parapsilosis was determined to be resistant.
Conclusion: The COVID-19 patients who are admitted to ICU have many risk factors associated with candidemia. The most common risk factors for the development of candidemia were mechanical ventilation, diabetes mellitus, neutrophilia, and low hemoglobin level. The most frequently isolated species was C. albicans. Moreover, caspofungin was found to be the most effective drug in vitro. No significant resistance
pattern was detected against the isolated species. It should be noted that risk-stratified antifungal prophylaxis in the ICU is possible.



The novel COVID-19 virus has affected our country since March 2020. It is currently responsible for the COVID-19 pandemic, which has resulted in a prolonged length of stay in a hospital or intensive care unit (ICU) [ 1 ]. The lung damage by the virus in ICU patients may be related to secondary infections after the start of the disease [ 2 , 3 ].

Candidemia is a frequent nosocomial bloodstream infection and is associated with high mortality for COVID-19 patients due to its increased incidence and early occurrence.

The major risk factors for invasive candidemia are prolonged hospital stay, the use of broad-spectrum antibiotics, corticosteroids, immunosuppressive agents, and invasive procedures, such as intravascular catheters, mechanical ventilation, and dialysis [ 4 , 5 ].

According to the results of population-based studies, the incidence of candidemia has increased during the last decades. Recent studies have shown a higher incidence rate of candidemia in COVID-19 patients, compared to a historical cohort [ 6 - 8 ].

The main objective of this study was to examine the characteristics and the clinical features of COVID-19 patients with candidemia who were admitted to ICU in a tertiary care hospital to identify their species of Candida.

Materials and Methods

Patients and study design

This study was carried out in a tertiary referral hospital, with a total capacity of 1617 beds, located in the Central Anatolia region.

A retrospective approach was undertaken which involved adult patients (>18 years) who were diagnosed with COVID-19 and hospitalized in ICU from July 2020 to January 2021.

Patients with candidemia were defined as the cases with the culture of a blood specimen that became positive for Candida species at least 48 hours after admission to the ICU. The control group comprised patients diagnosed with COVID-19 who did not have any infection or colonization with Candida spp. during their ICU stay. Candidemia was defined according to the standardized surveillance definitions of healthcare infection [ 9 ].

Patients who were not diagnosed with COVID-19 disease based on polymerase chain reaction (PCR) or clinical findings or were hospitalized at a different time in the same ICU or hospitalized in other ICU clinics, were excluded from the study.

The first episode of each patient with candidemia was included in the analysis. The data collection used for risk factor analysis continued until candidemia developed in case patients. On the other hand, for controls, the data collection continued for the total duration of their stay in the ICU.

Data collection

The demographic characteristics, clinical findings, typical computed tomography (CT) findings, length of ICU stay, comorbidity, invasive procedures, and medication usage (antibiotics, antivirals, corticosteroıds, and tocilizumab) of the patients were obtained from the electronic hospital records.

All the cases were classified as having a severe/critical disease of COVID-19. Patients were considered to have severe illness if they had clinical signs of pneumonia (i.e., fever, cough, dyspnea, and fast breathing) as well as one of the following: respiratory rate > 30 breaths/min, severe respiratory distress, or SpO2 < 90% on room air. Critically ill patients were those who had acute respiratory distress syndrome (ARDS), septic shock, and/or multiple organ dysfunction [ 10 ]. The criteria for transfer to ICU included the need for invasive and noninvasive mechanic ventilation, administration of vasoactive agents, and development of shock.

The typical CT findings of COVID-19 were bilateral, subpleural, and peripheral ground-glass opacities and consolidation [ 11 ]. The recorded P/F ratio equals the arterial pO2 (“P”) from the arterial blood gas divided by the FIO2 (“F”) – the fraction (percent) of inspired oxygen that the patient is receiving expressed as a decimal (40% oxygen=FIO2 of 0.40). A P/F ratio of less than 300 indicates acute respiratory failure [ 12 ]. Acute Physiology and Chronic Health Evaluation (APACHE II) [ 13 ] and Sequential Organ Failure Assessment (SOFA) [ 14 ] scores were evaluated in the groups.

Laboratory findings at the time of candidemia included complete blood count, liver enzymes, C-Reactive Protein, and procalcitonin. Neutropenia was defined as an absolute neutrophil count lower than 2000/mm3 [ 15 ] and lymphopenia was defined as a lymphocyte count lower than 1000/ mm3 in adults [ 16 ]. The COVID-19 was diagnosed based on positive real-time PCR (Bioeksen, Turkey) tests for SARS-CoV-2. Patients diagnosed with candidemia and non-candidemia were included in the study. All candidemia cases were defined as superinfection.

Mycological identification

The blood specimens sent from ICU departments to the microbiology laboratory were incubated in the BacT/Alert 3D Automation System (Biomerieux, France). A positive signal obtained from the BACTEC automatic blood culture system was inoculated in Sabouraud Dextrose Agar (SDA, Oxoid, England) culture media with or without antibiotics from the bottles in which yeast cells had been detected by gram staining.

Fungal species identification has been performed by conventional and commercial methods.

The isolates were identified by the germ tube test, morphological images obtained from the Tween80 cornmeal agar, the capability of growth at 45 °C, urea hydrolysis, tolerance for 0.1% cycloheximide, as well as commercial methods, such as CHROM agar (Oxoid Brilliance™ Candida agar, England) Candida medium and VITEK® 2 (bioMérieux, France).

All isolates were cultured using SDA (Oxoid, Basingstoke, United Kingdom). These isolates were tested for susceptibility against amphotericin B (AMB), fluconazole (FLC), voriconazole (VRC), and caspofungin (CAS) by the E-test (Biomeriux, Marcy-l'Etoile, France) method. For the antifungal susceptibility testing, RPMI 1640 (Sigma Chemical Co., St Louis, Mo., USA) medium was prepared. Fort this purpose, 4 g L-glutamine, 34.5 g morpholinepropanesulfonic acid, 20 g glucose, and 17 g Bacto agar (Becton Dickinson and Company, Sparks, MD, USA) were dissolved in 1 L deionized water and autoclaved at 121˚ C for 15 min.

According to the manufacturer guidelines, the minimum inhibitory concentrations (MICs) were also determined by the E-test method. E-test strips of FLC (0.016-256 μg/ml), VRC (0.002-32 μg/ml), AMB (0.002-32 μg/ml), and CAS (0.002-32 μg/ml) were placed perpendicular to each other on an RPMI plate. In both tests, quality control was performed by the Clinical & Laboratory Standards Institute document M27-A3 using C. krusei ATTC 6258 and C. parapsilosis ATCC 22019 [ 17 ].

Statistical Analysis

Statistical analysis was performed using IBM SPSS Statistics for Windows (Version 22.0). (IBM Corp. Armonk, NY: USA. Released 2013). The Shapiro Wilk test was used for the normality test of the parametric data. Numerical variables were specified as mean±SD and median (min, max).

Comparisons between groups for data with a normal distribution were performed using Student’s t-test. The comparisons between groups for data that did not show a normal distribution were performed using the Mann-Whitney U test. It should be mentioned that a value of p ≤ 0.05 was considered statistically significant. Univariate and multiple binary logistics regression analyses and multiple regression analyses were performed to compare the variables.

Ethical considerations

The Ethics Committee for Non-Invasive Clinical Research at the Kayseri City Hospital (2021-6/490) ethically approved this study.


In total, 126 COVID-19 cases were analyzed, including the candidemia group (mean age of 74.8±10, 61% male) and the non-candidemia group (mean age of 70.1±16, 55% male). In total, 44/126 (35%) of the patients were diagnosed with candidemia during the study period. Demographic information and comparisons of the study population are provided in Table 1. All the study populations had severe/critical COVID-19 illnesses. While the first group consisted of 44 candidemia patients with COVID-19 disease, the second group (control), consisted of 82 patients with COVID- 19 disease with non-candidemia.

Demographic characteristics Candidemia n= 44 Non-candidemia n= 82 Total n=126 P
Mean age±STD (years) 74.8±10 70.1±15.9 71.7±14.0 0.07
18-65 5 (11) 12 (27) 27(21,4) 0.06
>65 39 (89) 60 (73) 99 (78,6) 0.06
Male gender 27 (61) 45 (55) 72 (57) 0.5
PCR positivity 42 (95,5) 82 (100) 124 (98,4) 0.1
Typical CT findings of COVID-19 35 (80) 54 (66) 89 (71) 0.1
Length of hospital stay, median days (range) 22 (2-76) 11 (1-56) 14 (1-76) <0.01
ICU stay, median days (range) 15 (1-63) 8 (1-29) 10 (1-63) <0.01
Mortality rate 32 (73) 73 (89) 105 (83) 0.02
APACHE (mean±STD) 15.5±7 18.9±7.6 17.7±7.5 0.1
SOFA (mean ±STD) 6±2.5 6.7±2.6 6.5±2.6 0.3
P/F ratio 58% 60% 59% 0.3
Comorbidities 39 (89) 62 (82) 101 (80) 0.1
Chronic Obstructive Lung Disease 11 (25) 24 (36) 35 (28) 0.2
Hypertension 27 (61) 30 (37 ) 57 (45) 0.09
Diabetes mellitus 22 (50) 16 (19) 38 (30) <0.01
Coronary artery diseases 11 (25) 15 (18) 26 (21) 0.4
Chronic renal failure 9 (21) 5 (6) 14 (11) 0.03
Risk factors
Central venous Catheter 35 (80) 74 (90) 119 (94) 0.1
Total parenteral nutrition 39 (87) 71 (87) 110 (87) 1
Corticosteroıd Treatment* 44 (100) 71 (86) 115 (91) 0.01
Neutropenia (Neutrophils<2000/mm3 μL) 1 (2) 2 (2) 3 (2) 1
Lymphopenia (Lymphocytes<1000/mm3 μL) 31 (71) 54 (65) 85 (67) 0.6
Tocilizumab 8 (18) 15 (18) 23 (18) 0.9
PCR: Polymerase chain reaction, CT: computerized tomography, ICU: intensive care unit, APACHE: Acute Physiology and Chronic Health Evaluation, SOFA: sequential organ failure assessment
Table 1.Comparison of demographic and baseline characteristics of patients

The candidemia group had 95.5% PCR positivity for all, and that rate was similar in both groups. A small number of the negative PCR patients had clinical and typical CT findings of COVID-19. At the same time, CT signs compatible with COVID-19 were similar between the two groups. The duration of hospital and ICU stay of patients with candidemia was significantly longer than the controls (11 days [1-56]). Candidemia was associated with an increased length of hospital stay (P<0.001).

Diabetes mellitus (DM) 22 (50%) and chronic renal failure (CRF) 9 (21%) were more common in candidemia patients than in the other group (P<0.05). There were no significant differences between the groups in terms of the central vascular catheter, total parenteral nutrition, antibiotics, and antivirals (P>0.05). It should also be noted that systemic corticosteroids (Prednisone) usage was significantly higher in candidemia patients (P=0.01).

The median (min, max) total dosage of prednisone during the hospitalized days was 1120 mg (160-2240) higher in the candidemia group, compared to the other group with 480 mg (80-2000) (P<0.05). Tocilizumab usage and dosage were similar in both groups (total dosage was 213 mg in the candidemia group and 225 mg in the other group) (Table 2).

Candidemia patients n=44 (%) Other Patients n= 82 (%) Total patients n=126 (%) P
Antiviral agents* 44 (100) 82 (100) 126 (100) -
Hydroxychloroquine 15 (35) 24 (30) 39 (31) 0.2
Favipiravir 42 (95) 81 (98) 123 (98) 0.1
Antibiotics** 44 (100) 82 (100) 126 (100) -
Macrolides 38 (86) 69 (84) 107 (85) 0.1
Ceftriaxone 20 (45) 35 (42) 55 (44) 0.7
Fluoroquinolones 5 (11) 8 (9) 13 (10) 0.8
Piperacillin-Tazobactam 18 (41) 16 (19) 34 (27) 0.3
Carbapenems 32 (72) 60 (73) 92 (73) 0.1
Antifungal 23 (52) - 23 (18)
Fluconazole 2 (5) - 2 (2) -
Caspofungin 12 (10) - 12 (10) -
Voriconazole 1 (1) - 1 (1) -
Anidulafungin 7 (6) - 7 (6) -
L-Amphotericin B 1 (1) - 1(1) --
Mechanical ventilation 39 (89) 60 (73) 99 (79) 0,02
*Hydroxychloroquine 800 mg (loading dose) followed by 400 mg for five days; Favipiravir 1600 mg (loading doze) followed by 600 mg for five days.
**Clarithromycin 1 g/day, Ceftriaxone 2 gr/day, Piperacillin-Tazobactam 13.5 g/day, Carbapenems (Meropenem 3g/day, İmipenem-Silastatin 2 g/day, Fluoroquinolones (levofloxacin 500 mg/day, moxifloxacin 400 mg/day)
Table 2.Treatment of candidemia and other patients with COVID-19 in the intensive care unit

The laboratory characteristics and comparisons of the study population are provided in Table 3. The median white blood cell, neutrophile, and lactate dehydrogenase were higher in the candidemia group (P=0.02). However, the hemoglobin level was lower in the candidemia group (P<0.01).

Laboratory findings Median (min, max) Normal Range Candidemia n=44 (%) Other patients n=82 (%) Total patients n=126 (%) P
White blood cell count/μL 4500-10000 11600 (1280-64000) 8100 (470-33000) 8860 (470-64000) 0.02
Neutrophils/μL 1800-7500 9450 (680-45000) 6170 (80-29000) 7225 (80-45000) 0.02
Lymphocytes/μL 800-3200 570 (20-54000) 900 (10-4000) 790 (10-54000) 0.2
Hemoglobin (g/dL), mean±SD 13-17 10.9±2.3 12.1±2.1 12.2± 2.4 <0.01
Platelet count, x103 μL 150-450x103 155 (7-591) 180 (26-372) 170 (7-591) 0.3
Aspartate transferase (IU) 0-40 37 (8-843) 35 (15-678) 35(8-843) 0.2
Alanine aminotransferase (IU) 0-41 26 (5-1193) 23 (7-337) 23(5-1193) 0.07
Lactate dehydrogenase (U/L) 135-214 434 (45-2112) 347 (144-961) 377 (45-1112) 0.02
C-Reactive Protein (mg/dL) 0-5 89 (3-471) 78 (1.3-360) 83 (1.3-471) 0.4
Procalsitonin (µg/dL) 30-400 0.6 (0,04-63) 0.2 (0-87) 0.3 (0-87) 0.2
Table 3.Comparison of initial laboratory characteristics of Candidemia and others with COVID-19 in ICU

The need for mechanical ventilation therapy in candidemia patients (n=39, 89%) was higher, compared to the non-candidemia patients (n=60, 73%) (P=0.02). In the candidemia group, the 30-day mortality rate was

significantly higher than in the other group (73% vs. 89%, P=0.02). Moreover, it should be noted that the APACHE and SOFA mean scores and P/F ratio were similar between the two groups (P>0.05).

Univariate and multiple binary logistics regression analyses of diverse variables are shown in Table 4. Initially, in the univariate analysis, the variables were evaluated independently on an individual basis. Mechanical ventilation, diabetes mellitus, neutrophil count, and hemoglobin levels were associated with Candidemia according to the univariate and multiple analyses.

Univariate Multiple
Variables OR (95% CI) P OR (95% CI) P
Length of hospital stay, median days (range) 1.053 (0.986-1.125) 0.3
ICU stay, median days (range) 1.062 (0.954-1.182) 0.2
Mechanical ventilation 15.2 (1.882-123.470) 0.005 0.27 (0.052-0.521) <0.001
Diabetes mellitus 0.124 (0.022-0.699) 0.002 6.1 (1.76-10.7) 0.001
Chronic renal failure 1.047 (0.088-12.392) 0.2
Corticosteroıd Treatment* 1,23 (0.9-1.238) 0.9
Tocilizumab treatment 0.6 (0.173-2.789) 0.6
Extended broad-spectrum antibiotics 8.9 (0.598-134.3) 0.1
Median neutrophils (μL [min, max]) 0.922 (0.425-2.002) 0.04 2.7 (1.02-6.35) 0.04
Hemoglobin (g/dL) mean±SD 0.642 (0.425-0.969) 0.01 6.1 (1.76-10.7) 0.001
* Administration of 0.5-1 mg/kg of prednisone equivalent in the last 30 days before candidemia, OR: odds ratio
Table 4.Univariate binary logistics regression analysis of candidemia and others with COVID-19 in the intensive care unit

The incidence of candidemia (per 1000 admissions) was higher at 0.78 in 2021, compared to the pandemic period and 0.61 in 2019 before the pandemic period. In total, 44 Candida spp. were isolated from blood culture (Figure 1). The median time to the first isolation of yeast was 16 days (2-74 days). These strains were identified as follows: 22 (50%) C. albicans, 7 (16%) C. parapsilosis, 10 (23%) C. glabrata, 4 (9%) C. tropicalis, and 1 (2%) C. dublinensis.

The antifungal susceptibility tests for the 44 yeast isolates included in the study are summarized in Table 5 with the relevant MIC values. Antifungal resistance was not found against C. albicans or C. tropicalis, and low MIC levels were observed against all antifungal agents. Three isolates of the six isolated C. glabrata species had dose-dependent sensitivity to FLC, and one isolate, C. parapsilosis, was determined to be resistant.

AMB (μg/ml) CAS (μg/ml) FLC (μg/ml) VRC (μg/ml)
Species (Number) GM MIC50 MIC90 GM MIC50 MIC90 GM MIC50 MIC90 GM MIC50 MIC90
Candida albicans (40) 0.39 0.38 0.75 0.37 0.38 1 1.03 0.75 4 0.07 0.04 0.94
Candida glabrata (19) 1.25 1.5 4 0.31 0.5 0,75 12.4 16 32 0.3 0.38 1
Candida parapsilosis (26) 0.5 0.38 0.94 3.37 2 32 1.4 1.5 2 0.08 0.06 0.47
Candida tropicalis (7) 2.25 1 1.5 0.5 0.5 1 0.8 0.75 1 0.04 0.03 0.094
AMB; Amphotericin b, CAS; Caspofungin, FLC; Fluconazole, VRC; Voriconazole, GM; Geometric Mean, MIC; Minimum Inhibitory Concentration
Table 5.In vitro susceptibilities of the Candida isolates to four antifungal agents

For all isolates, no cross-resistance was encountered between FLC and VRC. None of the patients received any antifungal treatment in the ICU before the positivity of blood culture. In total, 23 patients out of all the candidemia groups had received antifungal therapy. Moreover, 19 patients were treated with an echinocandin, while four patients were treated with other antifungals. Since 11 patients died before the microbiological tests, they were not treated with antifungals.

Figure 1. Candida species distribution in 44 candidemia patients


This single-center study was conducted to determine the epidemiology and risk factors of nosocomial candidemia among COVID-19 patients. Demographic findings, laboratory values, and risk factors were reviewed for candidemia and non-candidemia in COVID-19 patients in the ICU. In our hospital, the incidence of candidemia in non-COVID-19 patients is 0.61 lower than the 0.78 found in COVID-19 patients.

Other studies have also reported an increase in candidemia in patients with COVID-19, compared to non-COVID-19 patients [ 21 , 22 , 35 ]. The reason for the high incidence rate could be some risk factors from COVID-19. The potential risk factors for candidemia investigated in previous studies and prolonged hospital stays were identified as persistent risk factors.

Such patients are exposed to multiple risk factors for candidemia, such as a central vascular catheter, total parenteral nutrition, and antibiotics [ 18 , 19 ]. In this study, central vascular catheter, total parenteral nutrition, and antibiotics treatment did not differ between candidemia and non-candidemia groups, but the length of the stay was longer in the candidemia group.

Chronic conditions and other comorbidities have been reported in many cases of candidemia [ 20 , 21 ]. The relationship between DM and candidemia has been studied several times, especially since patients with DM are more sensitive to fungal infections than those without DM [ 22 , 23 ]. There are a few components in the pathogenesis of candidemia in patients with DM, especially Candida colonization, which is more common in patients with diabetes than in patients without DM. In this study, multiple underlying comorbidities were associated with candidemia; 39 (89%) cases had one or more comorbidities, compared to 62 (82%) controls (P=0.1). In this study, the number of those diagnosed with DM and CRF was significantly high (P<0.05) in candidemia patients.

Patients with COVID-19 often suffer from acute hypoxemic airway failure, followed by ARDS [ 24 ]. Mechanical ventilation is an essential tool in the management of respiratory failure in critically ill patients. Prolonged use of mechanical ventilation in patients increases the risk of colonization and hospital-acquired infection [ 25 ]. In this study, 79% of all the patients received mechanical ventilation for respiratory failure and mechanical ventilation was high in the candidemia group.

Tocilizumab is a monoclonal antibody against interleukin-6 receptor that can reduce macrophage activation syndrome-induced cytokine storm and is beneficial in some series of COVID-19 cases [ 26 ]. In animal studies, interleukin-6 deficiency has been reported to cause Candida infections [ 27 , 28 ].

In a study conducted during the pandemic, a high prevalence of candidemia was observed, concisely in patients treated with tocilizumab due to COVID-19. Based on the results of the aforementioned study, it can be speculated that the suppression of the IL-6 response might contribute to this blood infection [ 29 ]. Bishburg et al. [ 30 ] did not find a relationship between tocilizumab and candidemia infection in COVID-19 patients; this result is in line with those of the present study regarding the lack of difference between the groups. The reason for this may be the use of low-dose short-term tocilizumab in the patients.

Patients with severe COVID-19 can develop a systemic inflammatory response leading to lung injury and multisystem organ dysfunction. It was suggested that the high anti-inflammatory effects of corticosteroids could prevent or mitigate these destructive effects. One study found that all cases of candidemia occurred following high-dose corticosteroids used in the treatment of COVID-19 [ 31 ].

In other studies, no relationship was found between corticosteroid use and candidemia in COVID-19 patients [ 27 , 30 ]. In the present study, 100% of patients with candidemia and 86% of other patients used steroids and were identified as at risk for candidemia. Additionally, the total dosage of corticosteroids was higher in candidemia patients. The data variability of the studies may be due to the differences in the dose and time of corticosteroid administration determined by clinicians.

The present study found an approximately 30-day mortality rate in the control group which was higher than in the candidemia group. These differences are regarded as statistically significant (P<0.05). Bishburg et al. [ 30 ] revealed that the mortality rate of patients with COVID-19 was higher than that of patients with candidemia. They attributed the high fatality rate to extended hospital stays. Macauley et al. [ 32 ] found no significant difference in mortality rates between candidemia with and without COVID-19 disease.

The epidemiological patterns of Candida species are essential for selecting the appropriate antifungal agent during the pandemic process. Recently, countries have started to share their data through documentation. Only six candidemia cases were detected in one study in Iran and eight Candida isolates were identified in 1988 patients with COVID-19. They reported that the most often isolated species was C. albicans [ 33 ].

According to data from one tertiary hospital in the United States, 13 cases of candidemia with COVID-19 were detected [ 32 ]. They found that the most commonly isolated species were non-albicans Candida. However, according to data from Brazil and Italy, the most frequently isolated species were C. albicans [ 8 , 34 ]. In our study, 44 Candida isolates were identified in COVID-19 patients. Among these species, the most frequently isolated species was C. albicans, and the species that followed it were C. parapsilosis, C. glabrata, C. tropicalis, and C. dublinensis from highest to lowest, respectively. C. parapsilosis was the second most often-isolated species, especially in those, who used an intravascular device, in intensive care units [ 35 ]. Epidemiological data on candidemia in COVID-19 patients may differ between countries. This could not be fully explained, but it was considered that usual patient exposure, underlying diseases, and different hospital applications might have been the cause.

Antifungal resistance was not detected against C. albicans and C. tropicalis species. Three strains of C. glabrata were dose-dependent susceptible to FLC while one strain of. C. parapsilosis was resistant. All of these isolates were found to be sensitive to VRC. In our study, 23 patients with candidemia had used antifungals and the most commonly used antifungal was CAS, followed by anidulafungin. 11 patients were not treated with antifungals as they died before the microbiological tests.

We have not encountered a significant pattern of resistance to antifungals in blood-isolated Candida species in our hospital.


We presented our experience with candidemia patients with COVID-9 in the intensive care unit at our hospital. The most common risk factors for developing candidemia were mechanical ventilation, diabetes mellitus, neutrophilia, and low hemoglobin according to the regression analyses. The most frequently isolated species was C. albicans. Multiple-drug resistance for the species was not found. The development of new research on the subject seems fundamental to detecting potential epidemiological changes. Local epidemiological information during the pandemic provides valuable information for the selection of empirical antifungal agents.


This study was supported by Health Science University, Kayseri Faculty of Medicine (2021-6/490), Department of Infectious Diseases, Kayseri, Turkey.

Authors’ contribution

Contributors ZBD and H. Sav were responsible for the organization and coordination of the trial. ZBD was responsible for the data analysis. H.Sipahioğlu, RCY and İ.Ç. developed the trial design. All authors contributed to the writing of the final manuscript.

Conflicts of interest

The authors declare that there are no conflicts of interest.

Financial disclosure

No financial interests related to the material of this manuscript have been declared.


  1. Wang Y, Liao B, Guo Y, Li F, Lei C, Zhang F, et al. Clinical Characteristics of Patients Infected with the Novel 2019 Coronavirus (SARS-Cov-2) in Guangzhou, China. Open Forum Infect Dis. 2020; 7(6):1-7.
  2. Cox MJ, Loman N, Bogaert D, O’Grady J. Co-infections: potentially lethal and unexplored in COVID-19. Lancet Microbe. 2020; 1:1.
  3. José RJ, Periselneris JN, Brown JS. Opportunistic bacterial, viral, and fungal infections of the lung. Medicine. 2016; 44(6):378-83.
  4. Medina N, Soto-Debrán JC, Seidel D, Akyar I, Badali H, Barac A, et al. MixInYeast: A Multicenter Study on Mixed Yeast Infections. J Fungi. 2020; 7(1):14.
  5. Eggimann P, Garbino J, Pittet D. Epidemiology of Candida species infections in critically ill non-immunosuppressed patients. Lancet Infect Dis. 2003; 3:685-702.
  6. Kayaaslan B, Eser F, Kaya Kalem A, Bilgic Z, Asilturk D, Hasanoglu I, et al. Characteristics of candidemia in compared to non-COVID-19 patients. Mycoses. 2021; 64(9):1083-91.
  7. Garcia-Vidal C, Sanjuan G, Moreno-García E, Puerta-Alcalde P, Garcia-Pouton N, Chumbitaetet al. Incidence of co-infections and superinfections in hospitalized patients with COVID-19: a retrospective cohort study. Clin Microbiol Infect. 2020; 27(1):83-8.
  8. Mastrangelo A, Germinario BN, Ferrante M, Frangi C, Li Voti R, Muccini C, et al. Candidemia in COVID-19 patients: incidence and characteristics in a prospective cohort compared to historical non-COVID-19 controls. Clin Infect Dis. 2020; 8:17-25.
  9. Horan TC, Andrus M, Dudeck MA. CDC/NHSN surveillance definition of healthcare-associated infection and criteria for specific types of infections in the acute care setting. Am J Infect Control. 2008; 36(9):309-32.
  10. World Health Organization. Clinical management of COVID-19:interim guidance, 27 May 2020 (ınternet). Report No.: WHO/2019-nCoV/clinical/2020.5. World Health Organization; 2020.
  11. Ai T, Yang Z, Hou H, Zhan C, Chen C, Lv W, et al. Correlation of chest CT and RT-PCR testing in coronavirus disease 2019 (COVID-19) in China: A report of 1014 cases. Radiology. 2020; 296(2):E32-E40.
  12. Rice TW, Wheeler AP, Bernard GR, Hayden DL, Schoenfeld DA, Ware LB. National Institutes of Health, National Heart, Lung, and Blood Institute ARDS Network. Comparison of the SpO2/FIO2 ratio and the PaO2/FIO2 ratio in patients with acute lung injury or ARDS. Chest. 2007; 132(2):410-7.
  13. Knaus WA, Draper EA, Wagner DP, Zimmerman JE. APACHE II: a severity of disease classification system. Crit Care Med. 1985; 13:818-29.
  14. Jones AE, Trzeciak S, Kline JA.  The Sequential Organ Failure Assessment score for predicting outcome in patients with severe sepsis and evidence of hypoperfusion at the time of emergency department presentation. Crit Care Med. 2009; 37(5):1649-54.
  15. Newburger PE, Dale DC. Evaluation and management of patients with isolated neutropenia. Semin Hematol. 2013; 50(3):198-206.
  16. Zhao Q, Meng M, Kumar R, Wu Y, Huang J, Deng Y, Weng Z, et al. Lymphopenia is associated with severe coronavirus disease 2019 (COVID-19) infections: A systemic review and meta-analysis.  Int J Infect Dis. 2020; 96:131-135.
  17. Rex JH, Alexander BD, Andes D, Arthington-Skaggs B, Brown SD, Chaturvedi V, et al. Reference method for broth dilution antifungal susceptibility testing of yeasts; approved standard ,third ed.  Clinical and Laboratory Standards Institute (CLSI). 2008; 28(14):1-13.
  18. Kang SJ, Kim SE, Kim UJ, Jang HC, Park KH, Shin JH, et al. Clinical characteristics and risk factors for mortality in adult patients with persistent Candidemia. J Infect. 2017; 75(3):246-253.
  19. Bassetti M, Trecarichi EM, Righi E, Sanguinetti M, Bisio F, Posteraro B, et al. Incidence, risk factors, and predictors of outcome of candidemia. The survey in 2 Italian university hospitals. Diagn Microbiol Infect Dis. 2007; 58(3):325-31.
  20. Raja NS. Epidemiology, risk factors, treatment, and outcome of Candida bloodstream infections because of Candida albicans and Candida non-albicans in two district general hospitals in the United Kingdom. Int J Clin Pract. 2021; 75(1):e13655.
  21. Chen PY, Chuang YC, Wang JT, Sheng WH, Yu CJ, Chu CC, et al.  Comparison of epidemiology and treatment outcome of patients with Candidemia at a teaching hospital in Northern Taiwan, in 2002 and 2010. J Microbiol Immunol Infect. 2014; 47(2):95-103.
  22. Bader MS, Lai SM, Kumar V, Hinthorn D. Candidemia in patients with diabetes mellitus: epidemiology and predictors of flv. Scand J Infect Dis. 2004; 36(11-12):860-4.
  23. Tang HJ, Liu WL, Lin HL, Lai CC. Epidemiology and prognostic factors of Candidemia in elderly patients. Geriatr Gerontol Int. 2015; 15(6):688-93.
  24. Hosseinikargar N, Basiri R, Asadzadeh M, Najafzadeh MJ, Zarrinfar H. First report of invasive Aspergillus rhinosinusitis in a critically ill COVID-19 patient affected by acute myeloid leukemia, northeastern Iran. Clin Case Rep. 2021; 9(10):1-5.
  25. Loss SH, de Oliveira RP, Maccari JG, Savi A, Boniatti MM, Hetzel MP, et al. The reality of patients requiring prolonged mechanical ventilation: a multicenter study. Rev Bras Ter Intensiva. 2015; 27(1):26-35.
  26. Luo P, Liu Y, Qiu L, Liu X, Liu D, Li J.  Tocilizumab treatment in COVID-19: A single-center experience. J Med Virol. 2020; 92(7):814-18.
  27. Romani L, Mencacci A, Cenci E. Impaired neutrophil response and CD+ T helper cell 1 development in interleukin-6-deficient mice infected with Candida albicans. J Exp Med. 1996; 183:1345-55.
  28. Vand Enckevort FHJ, Netea MG, Hermus ARM. Increased susceptibility to systemic candidiasis in interleukin-6 deficient mice. Med Mycol.  1999; 37:419-26.
  29. Antinori S, Bonazzetti C, Gubertini G, Capetti A, Pagani C, Morena V, et al. Tocilizumab for cytokine storm syndrome in COVID-19 pneumonia: an increased risk for Candidemia?. Autoimmun Rev. 2020; 19(7):1-3.
  30. Bishburg E, Okoh A, Nagarakanti SR, Lindner M, Migliore C, Patel P. Fungemia in COVID-19 ICU patients, a single medical center experience. J Med Virol. 2021; 93(5):2810-4.
  31. Riche CVW, Cassol R, Pasqualotto AC.  Is the Frequency of Candidemia Increasing in COVID-19 Patients Receiving Corticosteroids?. J Fungi. 2020; 6(4):286-92.
  32. Macauley P, Epelbaum O. Epidemiology and Mycology of Candidaemia in non-oncological medical intensive care unit patients in a tertiary center in the United States: Overall analysis and comparison between non-COVID-19 and COVID-19 cases. Mycoses. 2021; 64(6):634-40.
  33. Arastehfar A, Shaban T, Zarrinfar H, Roudbary M, Ghazanfari M, Hedayati MT, et al.  Candidemia among Iranian Patients with Severe COVID-19 Admitted to ICUs. J Fungi. 2021; 7(4):280-86.
  34. Nucci M, Barreiros G, Guimarães LF, Deriquehem VAS, Castiñeiras AC, Nouér SA. Increased incidence of candidemia in a tertiary care hospital with the COVID- 19 pandemic. Mycoses. 2021; 64(2):152-6.
  35. Trofa D, Attila G, Joshua DN. Candida parapsilosis, an emerging fungal pathogen.  Clin Microbiol Rev. 2008; 21:606-25.
Volume 8, Issue 1
March 2022
Pages 32-38
  • Receive Date: 20 January 2022
  • Revise Date: 21 March 2022
  • Accept Date: 21 March 2022
  • First Publish Date: 21 March 2022
  • Publish Date: 01 March 2022