Research Article | Open Access
Pradeep Reddy Anam1 , Ved Prakash2, Deepika Verma2 and Ramesh Babu Myneni3
1Rohilkhand Medical College & Hospital, Bareilly International University, Bareilly, UP, India.
2Department of Microbiology, Rohilkhand Medical College & Hospital, Bareilly International University, Bareilly, UP, India.
3Department of Microbiology, NRI Medical College & Hospital, Chinakakani, Guntur, Andhra Pradesh, India.
Article Number: 9075 | © The Author(s). 2023
J Pure Appl Microbiol. 2023;17(4):2437-2442. https://doi.org/10.22207/JPAM.17.4.41
Received: 22 October 2023 | Accepted: 11 November 2023 | Published online: 30 November 2023
Issue online: December 2023
Abstract

In the recent past, the incidence of Candidiasis has witnessed a concerning upsurge, resulting in a significant healthcare challenge. These infections are further exacerbated by factors like the widespread use of broad-spectrum antimicrobials, chemotherapy-induced neutropenia, and the presence of medical devices. The present study is designed to address the critical need for identifying the Candida species responsible for clinical infections and assessing their susceptibility to key antifungal drugs Fluconazole, Voriconazole, and Itraconazole. Two hundred clinical samples from Rohilkhand Medical College & Hospital, Bareilly were analyzed. Using Vitek-2 Compact (Biomerieux, France), the Candida spp. and the antifungal drug sensitivities were identified for Fluconazole and Voriconazole. E-test was done to identify Itraconazole sensitivity. This study found that C. albicans accounted for 21.5% while Non-albicans Candida (NAC) constituted 78.5%. Prolonged medication was the most common factor making susceptible for Candidiasis (43.5%), followed by indwelling biomedical devices (23%), Diabetes mellitus (16%), surgical causes (5.5%), trauma (5%), pregnancy (5%), and HIV (2%). Antifungal susceptibility testing showed that 68.5%, 72%, and 69.5% of Candida spp. isolates were sensitive to Fluconazole, Voriconazole, and Itraconazole, respectively. In conclusion, non-albicans Candida infections are increasing due to predisposing conditions, and some of these species are inherently resistant to the routinely used antifungal drugs. The study emphasizes the importance of identifying Candida spp. and their susceptibility to antifungals. This can limit the indiscriminate use of antifungal drugs, aid in selecting appropriate treatments, and reduce treatment costs, hospital stays, and patient morbidity and mortality.

Keywords

Antifungal Susceptibility, Azoles, Candida, Non-albicans Candida

Introduction

The prevalence of Candida infections has reached alarming levels in recent past, leading to significant mortality and morbidity. Candida species, including Candida albicans and Non-albicans Candida spp. such as C. tropicalis, C. parapsilosis, C. glabrata, C. krusei, C. guilliermondii, C. dubliniensis, and C. auris are major contributors to human fungal infections. Candidiasis, once rare, has become increasingly common among bedridden and critically ill patients, despite improvements in medical care. These fungal infections pose a substantial risk to both healthy individuals and those with compromised immune systems.1 Candida spp. are also a leading cause of nosocomial infections. Candida overcomes immune defenses, invades tissues, and causes severe infections, often facilitated by medical devices. Factors such as broad-spectrum antibiotics, chemotherapy-induced neutropenia, reduced phagocytic activity, and parenteral nutrition contribute to the growth and invasion of Candida. Among Candida spp., Candida albicans and Non-albicans Candida spp. such as C. tropicalis, C. glabrata, C. parapsilosis, and C. krusei account for as high as 90% of all the infections. However, Candida auris a notoriously multiple drug resistant species, pose a great challenge, particularly in critically ill patients. Another interesting aspect is that the diversity of Candida spp. differ from multicenter studies to single center studies.

Candidiasis, caused by various Candida spp., necessitates a diverse range of antifungal drugs for effective treatment. Polyenes, azoles, echinocandins, nucleoside analogues, and allylamines are commonly used drug classes. Candida spp. exhibit variations in virulence and drug sensitivity patterns. Notably, C. krusei displays intrinsic resistance to fluconazole due to low fluconazole-ERG11 affinity, rendering it ineffective for treatment. Studies have shown high resistance rates among C. krusei and C. glabrata to fluconazole and azoles, respectively. Timely identification of Candida spp. is crucial prior to initiating treatment, as empirical therapy can prolong the disease and lead to increased morbidity and mortality. Determining the sensitivity pattern of Candida spp. to antifungal drugs is vital for selecting appropriate and targeted therapy. Although significant progress has been made in the management of Candidiasis, the increased prevalence of drug-resistant Candida strains poses a significant hurdle, impacting treatment outcomes. Despite the introduction of novel antifungal agents, the survival rates of critically ill patients with Candida infections remain largely unchanged, which can be partly attributed to the emergence of drug resistance.

As the Candida spp. differ in the antifungal sensitivity pattern, it is important to identify the species of Candida.

The study aims to find the distribution of Candida spp. in clinical samples and find the susceptibility pattern to triazole antifungal drugs namely Fluconazole, Voriconazole and Itraconazole.

Materials and Methods

A cross sectional study was done from the year 2019 to 2022 at Rohilkhand Medical College & Hospital, A Tertiary Care Hospital in Bareilly. A total of 1437 culture positive samples collected from patients in Intensive Care Units (ICU), In-Patients Wards (IP) and Out Patients Departments (OPD). 200 isolates of Candida spp. obtained from these samples. The samples included respiratory samples (sputum, Endotracheal (ET) aspirate, bronchoalveolar lavage (BAL), throat swabs), blood, urine, vaginal swabs, CSF, pus and catheter tips.

Sample collection
Enough sample was collected from active lesions under strict aseptic conditions using sterile instruments following the universal safety precautions. All the samples were transported immediately to the laboratory without delay.

Sample processing
The samples (Urine, Respiratory samples, Vaginal swabs, CSF, Pus, Catheter tips) were subjected to direct Gram’s Staining and were inoculated into Blood Agar and Mac Conkey Agar and incubated at 37°C for 24-48 hours. If there is no growth after 48 hours of incubation, the sample is considered sterile for aerobic organisms. If there is growth, the colonies were picked up and a Gram’s stain is done. In the Gram’s stain preparation, the appearance of Gram positive, oval, budding yeast like fungi with pseudohyphae are presumptively identified as Candida spp. Additionally, the samples were inoculated in Saboraud’s Dextrose Agar and incubated at 25°C for 48 hours to one week. Blood samples were incubated in BacTAlert3D (Biomerieux, France) automated blood culture system. A positive blood culture is subcultured in Blood Agar and Mac Conkey Agar and processed like explained above for other samples.

Candida species identification
HiCrome™ Candida Differential Media (HiMedia, Mumbai) was used to differentiate Candida species based on the color of the colonies after 48 hours of aerobic incubation at 37°C. As the color is purely subjective, when there is any ambiguity, sugar fermentation, sugar assimilation and microscopic morphology on Corn Meal agar media and Vitek-2™ yeast identification cards were used to correctly identify the species.

Antifungal sensitivity testing
A few colonies from the pure culture of Candida were transferred to 3ml of sterile saline and vortexed until the turbidity of the suspension is in the range of 1.80-2.20 McFarland units. The suspension was inoculated into YS09™ (Biomerieux, France) Yeast Antifungal Susceptibility cards and processed in Vitek-2™( Biomerieux, France) system. Sensitivity for the drugs Fluconazole and Voriconazole were obtained in this method. For the sensitivity of Itraconazole, E-test method was used. CLSI guidelines were followed for testing and interpretation of the antifungal sensitivity results.

RESULTS

A total of 200 Candida spp. were isolated from different clinical samples. Of these, 116 (58%) were from Respiratory samples, 34 (17%) from urine, 23 (11.5%) from Blood, 22 (11%) from vaginal swab, 5 (2.5%) from pus samples. The distribution of different Candida spp. from various samples is summarized in Table 1.

Table (1):
Distribution of Candida spp. in various samples

Respiratory Samples
Urine
Blood
Vaginal Swab
Pus
Total
C. tropicalis
69
16
9
9
1
104
C. albicans
25
8
4
5
1
43
C. dubliniensis
6
3
7
5
2
23
C. krusei
7
2
2
1
0
12
C. gulliermondii
6
4
1
1
0
12
C. glabrata
3
1
0
1
1
6
Total
116
34
23
22
5
200

Of all the Candida spp. isolated, C. albicans were 43 (21.5%) and Non-albicans Candida (NAC) were 157 (78.5%). Species wise, C.tropicalis 104 (52%) was the most commonly isolated species, followed by C. albicans 43 (21.5%), C. dubliniensis 23 (11.5%), C. krusei 12 (6%), C. gulliermondii 12 (6%) and C. glabrata 6 (3%).

84% of the total infections were seen in 21-70 age group. It is also evident that males are more prone to Candidiasis than females with a frequency of 130 (65%) and 70 (35%), respectively. The predisposing factors leading to Candidiasis are summarised in Table 2. The ratio of incidence in Male versus Female is 1.86:1 (M:F).

Table (2):
Prevalence of Candida albicans and Non-albicans Candida among various predisposition factors

Predisposing factor
C. albicans
Non-albicans Candida
Total
Prolonged medication
17
70
87
Biomedical Devices (IV Catheters, Central line tips, Ventilator, ET tube)
8
38
46
Diabetes Mellitus
6
26
32
Trauma
4
6
10
Surgical Causes
3
8
11
Pregnancy
5
5
10
HIV
0
4
4
Total
43
157
200

Prolonged medication 87 (43.5%) was the most common predisposing factor for Candidiasis, followed by biomedical devices 46 (23%), Diabetes mellitus 32 (16%), Surgical causes 11 (5.5%), Trauma 10 (5%), Pregnancy 10 (5%) and HIV 4 (2%).

The drug sensitivity of Candida spp. to Fluconazole (FLU), Voriconazole (VOR) and Itraconazole (ITR) were 68.5%, 72% and 69.5%, respectively. Detailed susceptibility pattern is summarized in Table 3.

Table (3):
Triazole antifungal drug susceptibility pattern to Candida spp.

Candida albicans
Non-albicans Candida
Total
Fluconazole
Resistant
12 (27.9%)
51 (32.5%)
63
Sensitive
31 (72.1%)
106 (67.5%)
137
Total
43
157
200
Voriconazole
Resistant
10 (23.2%)
46 (29.3%)
56
Sensitive
33 (76.7%)
111 (70.7%)
144
Total
43
157
200
Itraconazole
Resistant
13 (30.2%)
48 (30.6%)
61
Sensitive
30 (69.8%)
109 (69.4%)
139
Total
43
157
200
DISCUSSION

Fungal infections to the hospitalized and the immunocompromised is an emerging problem to be tackled. During the last three decades, infections due to Candida spp., especially by the non-albicans species, increased to a great extent.2 The reason for this increased incidence can be attributed to both fungal virulence and host susceptibility factors. Extended use of antibacterials which eventually alter the normal flora, use of corticosteroids, surgeries, malnutrition and hormonal imbalance contribute to predisposition to Candidiasis in the immunocompetent individuals.3 Prolonged use of routinely used antifungal drugs alter the prevalence of Candida spp.4,5

In concordance with the previous studies, it is found that the Non-albicans Candida spp. prevalence has surpassed that of the of C. albicans.6-10 C. tropicalis was the most isolated species in all samples, followed by C. albicans. This finding of C. tropicalis dominance is in concordance with other studies in India.6,11-15 Furthermore, the Non-albicans Candida spp. were found to be the causative agent for invasive or deep rooted Candidiasis. Whereas, C. albicans caused superficial and mucosal infections mostly in skin, urinary tract and other mucosal areas.

Prolonged Medication, for more than a week was found to be the predominant risk factor in this study. This is in concordance with Chakrabarthi A et al. study which found that patients on antibiotics for more than a week and/or patients receiving multiple antibiotics, are prone to Candidiasis.14

In this study, many Candida spp. isolation were from respiratory samples. This deviates from the previous studies where majority of the Candida isolates were from Urine sample. As the study was done during the COVID-19 pandemic, there was a natural predilection towards respiratory complications and infections. This respiratory predilection was also confirmed by another study conducted in between 2018-2022 by Froidefond et al.16 It is also found that 92% of all COVID-19 patients who were given broad spectrum antibiotics as part of COVID-19 management were infected by Candida spp.17

In the present study, 68.5%, 72% and 69.5% of all the Candida spp. isolates were susceptible to Fluconazole, Voriconazole and Itraconazole, respectively. A comparison of studies by Jayalakshmi et al., Wang et al., Sukumaran et al., and Kashid et al.18-21 also denotes that 30% resistance to Fluconazole is not an outlier but is becoming common.

If seen as C. albicans versus Non-albicans Candida spp., 27.9%, 23.2% and 30.2% of C. albicans were resistant to Fluconazole, Voriconazole and Itraconazole, respectively, and 32.5%, 29.3% and 30.6% of Non-albicans Candida were resistant to Fluconazole, Voriconazole and Itraconazole, respectively.

20 isolates of C.tropicalis, 10 C. albicans isolates, 5 isolates of C. dubliniensis, 4 isolates of C. krusei and one each of C. glabrata and C. gulliermondi were resistant to all the 3 azole drugs tested.

CONCLUSION

This study showed that Non-albicans Candida spp. prevalence is higher compared to that of C. albicans. As the number of predisposing factors increased, the incidence of Non-albicans Candida infections has also increased.

As the Non-albicans Candida spp. are inherently resistant to routine antifungal drugs like Fluconazole, prompt identification of different Candida spp. and simultaneous testing of their susceptibility to antifungal medications will have a dual impact: it will limit the indiscriminate application of antifungal drugs and significantly shape the available treatment choices for medical professionals, ultimately benefiting the patients.

Prompt speciation and susceptibility pattern of Candida spp. will aid the clinicians in selecting the appropriate antifungal drug, and thus contributing to overall reduction in the cost of treatment & the duration of hospital stay and potentially reduces the patient’s morbidity and mortality.

A periodic surveillance to susceptibility to antifungal drugs is essential as it would throw light on the rational use of antibiotics and thus preventing the emergence of drug resistance.

Declarations

ACKNOWLEDGMENTS
The authors would like to thank the supporting staff of NRI Medical College Central Laboratory for their help in the study.

CONFLICT OF INTEREST
The authors declare that there is no conflict of interest.

AUTHORS’ CONTRIBUTION
All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.

FUNDING
None.

DATA AVAILABILITY
All datasets generated or analyzed during this study are included in the manuscript.

ETHICS STATEMENT
This study was approved by the institutional Ethics Committee, Rohilkhand Medical College, India, with Reference number IEC: BIU/REG/PhD/722″

References
  1. Deorukhkar SC, Saini S. Why Candida Species have Emerged as Important Nosocomial Pathogens? Int J Curr Microbiol Appl Sci. 2016;5(1):533-545.
    Crossref
  2. Colombo AL, Guimaraes T. Epidemiology of hematogenous infections due to Candida spp. Rev Soc Bras Med Trop. 2003;36(5):599-607.
    Crossref
  3. Chander J. Textbook of Medical Mycology. 3rd ed. Mehta Publishers. 2018.
  4. Merz WG, Hay RJ. Topley & Wilson’s Microbiology & Microbial Infections Medical Mycology. 10th ed. Hodder Arnold. 2005.
  5. Rippon JW. Medical Mycology: The Pathogenic Fungi and the Pathogenic Actinomycetes. Saunders; 1982. https://books.google.co.in/books?id=wKxrAAAAMAAJ
  6. Jayant S, Patel K, Priya P, Verma AN, Singh B, Dahariya R. Prevalence of Candida infection in Covid-19 pandemic: A study from a tertiary care center in Central India. Asian J Med Sci. 2021;12(10):3-7.
    Crossref
  7. Kaur R, Dhakad MS, Goyal R, Kumar R. Emergence of non-albicans Candida species and antifungal resistance in intensive care unit patients. Asian Pac J Trop Biomed. 2016;6(5):455-460.
    Crossref
  8. Jain A, Rawat SK, Rai A. Rising Incidence of Non-albicans Candida and Changing Susceptibility Pattern of Bloodstream Candida Isolates in Neonates. J Clin Diagn Res. 2017;11(11):DC01-DC04.
    Crossref
  9. Bhattacharjee P. Epidemiology and antifungal susceptibility of Candida species in a tertiary care hospital, Kolkata, India. Curr Med Mycol. 2016;2(2):20-27.
    Crossref
  10. Maheshwari M, Kaur R, Chadha S. Candida Species Prevalence Profile in HIV Seropositive Patients from a Major Tertiary Care Hospital in New Delhi, India. J Pathog. 2016;6204804.
    Crossref
  11. Patel LR, Pethani JD, Bhatia P, Rathod SD, Shah PD. Prevalence of Candida infection and its antifungal susceptibility pattern in tertiary care hospital, Ahmedabad. Natl J Med Res. 2012;2(04):439-441.
    Crossref
  12. Behera C, Mishra R, Jena P, et al. Candidemia in the pediatric intensive care unit in Eastern India. J Pediatr Crit Care. 2020;7(5):237-242.
    Crossref
  13. Jain V, Nare T, Vishwakarma K, et al. P049 Candidemia: Isolate profiling and antifungal susceptibility testing experience from Jodhpur, Western India. Med Mycol. 2022;60 (Suppl 1):myac072P049.
    Crossref
  14. Chakrabarti A. Microbiology of systemic fungal infections. J Postgrad Med. 2005;51(Suppl 1):S16-20.
  15. Mathur P, Hasan F, Singh PK, Malhotra R, Walia K, Chowdhary A. Five-year profile of candidaemia at an Indian trauma centre: High rates of Candida auris blood stream infections. Mycoses. 2018;61(9):674-680.
    Crossref
  16. Froidefond M, Sevestre J, Chaudet H, Ranque S. COVID-19 Is a Confounder of Increased Candida Airway Colonisation. Pathogens. 2023;12(3):463.
    Crossref
  17. Ahmed N, Mahmood MS, Ullah MA, et al. COVID-19-Associated Candidiasis: Possible Patho-Mechanism, Predisposing Factors, and Prevention Strategies. Curr Microbiol. 2022;79(5):127.
    Crossref
  18. Jayalakshmi L, Ratnakumari G, Samson S. Isolation, Speciation and Antifungal Susceptibility Testing of Candida from Clinical Specimens at a Tertiary Care Hospital. Sch J Appl Med Sci SJAMS. 2019;2(6):3193-3198.
  19. Sukumaran J, Sundaram J, Sivan R. Changing trend in the clinical distribution of Candida species in a tertiary care hospital. J Dr NTR Univ Health Sci. 2012;1(4):222-226.
    Crossref
  20. Sharma M, Bi C. Characterisation and antifungal susceptibility patterns of Candida species isolated in tertiary care hospital in North India. Int J Sci Res. 2021;7–8.
  21. Wang H, Xu YC, Hsueh PR. Epidemiology of candidemia and antifungal susceptibility in invasive Candida species in the Asia-Pacific region. Future Microbiol. 2016;11(11):1461-1477.
    Crossref

Article Metrics

Article View: 420

Share This Article

© The Author(s) 2023. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License which permits unrestricted use, sharing, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.