Oral candidiasis in HIV-uninfected pediatric population in areas with limited fungal diagnosis: A case study from a tertiary hospital, Tanzania

Abstract

Background:

Oral candidiasis (OC) is an indirect indicator of cell-mediated immunodeficiency with a high predictive value of disseminated candidiasis. Here, we report the prevalence and factors associated with laboratory-confirmed OC in human immunodeficiency virus (HIV)-uninfected children with clinical OC attending the outpatient clinic or admitted in pediatric wards of the Bugando Medical Center (BMC).

Methods:

A cross-sectional study was conducted between January and June 2017. Social demographic and clinical data were collected using a pre-tested data collection tool. Oral swabs were collected using a sterile cotton swab and mycological culture was done to detect Candida spp. followed by susceptibility testing as per European Committee on Antimicrobial Testing (EUCAST) guidelines. Data were analyzed using STATA version 13 following study objectives.

Results:

A total of 325 non-repetitive oral swabs from HIV-uninfected children aged between 2 and 156 months were collected. Candida spp. were detected in 123 (37.8%) children. One (1.8%) C. albicans isolate was resistant to fluconazole, voriconazole, and posaconazole with minimum inhibitory concentrations (MIC) of 256 μg/ml, 32 μg/ml, and 0.31 μg/ml, respectively. Upon multivariate logistic regression analysis, being a male child (OR 2, 95% CI 1.2–3.2, p = 0.008) and having a history of antibiotic use (OR 1.8, 95% CI 1.1–2.8, p = 0.017) independently predicted laboratory-confirmed OC among HIV-uninfected children.

Conclusion:

Only a third of children with clinical OC were laboratory confirmed, and this was more likely in male children with a history of antibiotic use. Most of the isolates were highly susceptible to commonly used antifungal agents like fluconazole. Treatment of children at risk should be prioritized to reduce associated morbidity.

Background

Oral candidiasis (OC) is an indirect indicator of cell-mediated immunodeficiency, with over 90% positive predictive value of oesophageal candidiasis.¹ In human immunodeficiency virus (HIV)-infected individuals, Oesophageal candidiasis has been used as the major acquired immune deficiency syndrome (AIDS) defining illness.² Oral Candida spp. colonization is one of the major risk factors for OC.³ In Tanzania, the prevalence of non-albicans Candida spp. (NAC spp.) colonization is higher among HIV-infected individuals than among uninfected individuals.⁴ However, data on patterns of Candida spp. causing OC in the HIV-uninfected pediatric population is still limited. The prevalence of OC is reported to range between 15% and 40% in HIV-infected children, with limited data in HIV-uninfected children.⁵ The lack of this data in HIV-uninfected children can lead to delayed diagnosis and delayed management of these children.

Due to the high burden of HIV in sub-Saharan Africa (SSA), the majority of studies from this region have focused on HIV-infected populations, with few studies in HIV-uninfected children. This affects the allocation of resources in the management of HIV-uninfected children at risk of getting OC. Candida albicans has long been established to be the leading cause of OC^6,7; however, in recent decades NAC spp. have been documented to colonize the oral cavity of immunocompromised patients and subsequently cause infections.⁴

In HIV-uninfected children, the use of broad-spectrum antimicrobials, non-communicable diseases (such as diabetic mellitus, cancer), malnutrition, and prolonged hospitalizations are among the factors that can increase the risk of OC.^8–11 In areas with limited fungal diagnosis and increased numbers of children at risk for OC, such as malnourished children and children with other comorbidities like sickle cell anemia and diabetic mellitus,^12–14 understanding the distribution of Candida spp. causing OC and their susceptibility patterns is important for proper empirical management of these children. Additionally, increasing use of antifungals over-the-counter with no surveillance system to monitor the trend of resistance might increase the problem of antifungal resistance.⁸ Identifying children at risk of getting OC is crucial to reduce associated morbidity. Herein, we report the prevalence and factors associated with OC among HIV-uninfected children from Mwanza, Tanzania – data that are important in managing children with OC.

Methodology

Study design and settings

A cross-sectional hospital-based study was conducted among children with the clinical diagnosis of OC attending the outpatient clinic or admitted in pediatric wards of the Bugando Medical Center (BMC) between January and June 2017. BMC which is located in the city of Mwanza is a tertiary and teaching hospital of the Catholic University of Health and Allied Sciences located. BMC has a bed capacity of 1000, serving over 15 million people from Lake Zone regions. The pediatric department has a bed capacity of 120, while 45 children are attended daily as outpatients.

In this study, clinical diagnosis of OC was made by clinicians by observing the presence of white patches on the surface of the oral mucosal or tongue, or painful localized erythematous lesions in the buccal cavity, or erythematous or ulcerated fissures, typically affecting unilaterally or bilaterally commissures of the lip.¹⁵

Sample size, sampling, and study variables

The sample size was calculated using the Kish Leslie formula, a prevalence of 28.3% from a study conducted in Uganda was used.¹⁶ All children with a clinical diagnosis of OC were included in the study, these children were serially enrolled as they visited the hospital until the sample size was reached. All children were tested for HIV using the Tanzania HIV testing algorithm to exclude HIV-infected children.^17,18 The main outcome of this study was laboratory-confirmed OC while independent variables were age, sex, hospital status, duration of hospitalization, and history of antimicrobial use.

Data collection and processing

Social demographic and clinical patient data were collected using a pre-tested questionnaire. Oral swabs were collected using a sterile cotton swab and transported to the microbiology laboratory in Stuart transport media (Delta lab, Barcelona, Spain) for culture and identification within 2 hours of sample collection.¹⁹

Isolation and identification of Candida spp

Samples were inoculated on Sabouraud’s Dextrose Agar supplemented with 50 mg/ml gentamicin and 50 mg/ml chloramphenicol (SDA) (Oxoid, Basingstoke, UK). Plates were incubated aerobically at 35°C for 24–48 hours. Culture positive was defined as SDA plate with more than made 10 colonies after 48 hours of incubation. Preliminary identification was done on CHROMagar (Oxoid) as previously described,^4,20 followed by species confirmation at the Institute of Medical Microbiology, Gottingen, Germany, using the MALDI-ToF Mass Spectrometry (V4.0, database V6, Bruker Daltonics, Bremen, Germany).²¹

In vitro susceptibility assays

Antifungal susceptibility testing was done for fluconazole, voriconazole, posaconazole (Discovery Fine Chemicals, Bournemouth, UK), micafungin (Roth, Germany), caspofungin (Merck, Kenilworth, NJ, USA), and 5-fluorocytosine (Sigma Aldrich, St, Louis, MO, USA) following the guidelines laid down by the European Committee on Antimicrobial Testing (EUCAST).²² For fluconazole (C. albicans, C. glabrata, and C. tropicalis), voriconazole, posaconazole, and micafungin (C. albicans and C. tropicalis), the minimum inhibitory concentration (MIC) breakpoint interpretations were according to EUCAST guidelines.²³ Pfaller et al. MIC breakpoints were used to interpret voriconazole, caspofungin, and 5-fluorocytosine susceptibility results for C. glabrata because these breakpoints are not indicated in EUCAST guidelines.^24–26

Data analysis

Data were entered on an Excel spreadsheet for consistent check and cleaning then transferred to STATA version 13 for analysis. Categorical data were summarized using proportions while continuous data were summarized using the median and interquartile range (IQR).

Ethical considerations

Ethical approval to conduct this study was granted by the Joint Catholic University of Health and Allied Sciences/Bugando Medical Centre (CUHAS/BMC) research ethics and review committee with certificate number CREC/280/2017. Permission to conduct the study was sought from BMC. Parents/guardians of the children were requested to sign the written informed consent form before recruitment and their information was kept confidential. Culture results were communicated in a timely manner to the managing clinicians for patient care.

Results

A total of 325 (none repeated) children aged between 2 and 156 months with the clinical diagnosis of OC were recruited from January to June 2017. The median age (IQR) was 40 (16–84) months. A slight majority of children were male 212 (65.2%). Regarding hospitalization status, around one-third of the children (111; 34.2%) were inpatients. The median duration of hospitalization was 7 (IQR 5–10) days (Table 1).

Table 1.

Social demographic and clinical characteristics of 325 studied children.

Variable	Frequency	%
Media age (IQR) months	325	40 (16–84)
Sex
Female	113	34.8
Male	212	65.2
Hospital status
Outpatient	214	65.8
Inpatient	111	34.2
Median durations of hospitalization (IQR) daysa	111	7 (5–10)
Antibiotic use
No	154	47.4
Yes	171	52.6
Antifungal use
No	319	98.2
Yes	6	1.8

^aThe median duration of hospitalization was only calculated for 111 admitted patients.

IQR, interquartile range.

Clinical presentation of the 325 studied children with clinical diagnosis of OC

Of 325 HIV-uninfected children involved in the study, a total of 236 (72.6%) presented with pseudomembranous candidiasis and 68 (20.9%) presented with angular cheilitis (Figure 1).

Figure 1.

Clinical presentation of the 325 HIV-uninfected children.

Culture results and susceptibility

Of 325 HIV-uninfected children enrolled, 123 (37.8%) had culture-positive results indicating laboratory-confirmed OC. There was no statistical difference (p = 0.429) in the proportion of culture-positive results between patients with different clinical presentation. A total of 86 (n = 236, 36.4%), 27 (n = 68, 39.7%), and 10 (n = 21, 47.6%), had culture-positive results among patients presented with pseudomembranous candidiasis, angular cheilitis, and erythematous candidiasis, respectively.

NAC spp. were detected in only seven (5.7%) HIV-uninfected children using ChromoAgar; five presented with pseudomembranous, and two with erythematous candidiasis. Of them, C. tropicalis was detected in four patients and C. glabrata in three patients. Simple random selection was made to obtain 53 isolates for matrix assisted laser desorption ionization-time of flight mass spectrometry (MALDI TOF MS) confirmations of Candida spp., and antifungal susceptibility testing. On MALDI TOF MS, 10/53 (18.9%) NAC spp. were detected; including three C. glabrata, three C. tropicalis, three C. kefyr, and one K. ohmeri. All C. kefyr were detected as C. albicans on CHROMagar.

Of the 53 yeasts tested for antifungal susceptibility, only 1 (1.8%) C. albicans isolate was resistant to fluconazole, voriconazole, and posaconazole, with MICs of over 256 μg/ml, 32 μg/ml, and 0.31 μg/ml, respectively. The resistant strain had MICs for caspofungin, micafungin, and 5-flucytosine of 0.004 μg/ml, 0.125 μg/ml, and 0.063 μg/ml, respectively. Of 46 C. albicans tested for fluconazole susceptibility, the majority (43; 93.5%) had MIC of 0.25 μg/ml. In addition, the most frequently detected micafungin MIC among C. albicans was 0.063 μg/ml (Table 2).

Table 2.

Antifungal MIC distributions for the 53 Candida spp. tested.

Candida spp.	Number tested	Agents	MIC50 (μg/ml)
			Range tested	Range detected	Mode	% ⩽mode
C. albicans	46	Fluconazole	0.250–256	0.250–256	0.250	93.4
		Voriconazole	0.031–32	0.031–32	0.25	93.4
		Posaconazole	0.004–4	0.016–0.31	0.023	67.4
		Caspofungin	0.004–4	0.004–2	0.25	97.8
		Micafungin	0.004–4	0.031–1.125	0.063	97.8
		5-Fluorocytosine	0.031–32	0.031–0.25	0.063	84.8
Other yeast	7	Fluconazole	0.250–256	0.25–4	0.5	71.4
		Voriconazole	0.031–32	0.031–0.125	0.031	71.4
		Posaconazole	0.004–4	0.016–0.25	0.25	100
		Caspofungin	0.004–4	0.063–0.31	0.031	42.9
		Micafungin	0.004–4	0.031–1.125	0.063	71.4
		5-Fluorocytosine	0.31–32	0.031–0.063	0.031	57.1

MIC, minimum inhibitory concentration.

Kodamaea (Pichia) ohmeri was detected in one patient, with MICs of 4 μg/ml, 0.031 μg/ml, 0.031 μg/ml, 2 μg/ml, 1.125 μg/ml, and 0.031 for fluconazole, voriconazole, posaconazole, Caspofungin, micafungin, and 5-flucytosine, respectively.

Upon univariate logistic regression analysis, being male [odds ratio (OR) 2, 95% confidence interval (CI) 1.2–3.1, p = 0.01], having a history of using antibiotics 2 weeks prior to the study (OR 1.8, 95% CI 1.2–2.9, p = 0.01) and increase in age (OR 0.994, 95% CI 0.988–0.999, p = 0.044) were significantly associated with laboratory-confirmed OC. In the multivariate logistic regression analysis, being a male child (OR 2, 95% CI 1.2–3.2, p = 0.008) and having a history of antibiotic use (OR 1.8, 95% CI 1.1–2.8, p = 0.017) independently predicted laboratory-confirmed OC among HIV-uninfected children (Table 3).

Table 3.

Factors associated with culture-positive oral swab among HIV-uninfected children.

Variables	Univariate analysis			Multivariate analysis
	Culture positive	OR (95%; CI)	p value	OR (95%; CI)	p value
Age (months)	108*, IQR (84–144)	0.994 (0.988–0.999)	0.044	0.993 (0.987–0.997)	0.041
Sex
Female (113)	34 (28.32%)	1
Male (112)	91 (42.92%)	1.90 (1.16–3.11)	0.010	1.96 (1.19–3.25)	0.008
Antibiotic use
No (154)	47 (30.52%)	1
Yes (171)	76 (44.44%)	1.82 (1.15–2.87)	0.010	1.762 (1.10–2.80)	0.017
Antifungal use
No (319)	120 (37.62%)	1
Yes (6)	3 (50.00%)	1.66 (0.32–8.34)	0.540
Duration of hospitalization (days)	7*, IQR (5–10)	1.01 (0.975–1.04)	0.637

CI, confidence interval; HIV, human immunodeficiency virus; OR, odds ratio, IQR, interquartile range, *Median.

Discussion

OC is the commonest complaint among immunocompromised children. Much has been studied regarding OC among HIV-infected individuals, making OC the commonest oral fungal disease reported and an important progressing marker of HIV infection in children. In the current study, the prevalence of laboratory-confirmed OC was found to be 37.8%, which is similar to what has previously been reported among HIV-infected children (prevalence range of 15–40%).⁵ The high culture-negative results in children with clinical diagnosis of OC candidiasis may be due to the quantification cut-off point used in this study or the wrong clinical diagnosis.

As previously reported among HIV-uninfected children,^27,28 the current study has proven increased age to be a protective factor for children from having OC. Besides, as in a previous study,²⁷ the use of antibiotics was also found to independently predict culture-positive OC among HIV-uninfected children in this study. The history of antibiotic use has been reported to be a leading risk factor in candidiasis.^28,29 This can be explained by the antimicrobial effect of antibiotics to oral bacteria microbiota, which leads to candida overgrowth within the oral cavity.

Looking at the distribution of Candida spp., C. albicans was the predominant yeast detected in this study. These findings are similar to previous studies in South Africa^30–32 and other parts of the world^33–35 among HIV-infected patients. Furthermore, these results are comparable with those of the previous study, which was done in Tanzania 10 years prior among individuals with primary and recurrent OC.³⁶ The predominance of C. albicans as the species causing OC is partly contributed by their ability to produce virulence factors like phospholipases and proteases.³⁷ These virulence factors are highly associated with Candida spp. causing OC.^38–41 Furthermore, in our previous study,⁴ we documented that C. albicans was the predominant species colonizing both HIV-infected and uninfected populations, making it the predominant causative agents of endogenous oral candidiasis.

The current study has found a low resistance of Candida spp. to fluconazole. This might have been contributed by the low use of fluconazole and other antifungals in children, this is supported by the fact that only 6 children had hisotry of antifungal use in this study. The first line in treatment of OC in children is oral nystatin and was not commonly used by these children prior visit to the hopsital.^42–44 The increased use of fluconazole has been reported previously to influence the development of fluconazole resistant C. albicans.^7,45 The low resistance rate of Candida spp. to fluconazole has also been reported in study settings.^7,36

In the current study, fluconazole resistance was documented to only one C. albicans; this isolate was also resistant to voriconazole and posaconazole. The cross-resistance observed in this isolate could be due to overexpression of the efflux pump – the common mechanism of azole resistance that confers resistance to several azoles.^46,47

Study limitation

Due to limitations of resources, not all isolates were species confirmed by MALDI TOF and tested for susceptibility patterns. This could lead to underestimation of the prevalence of resistant isolates, especially in NAC spp and Candida spp. variaties.

Conclusion and recommendations

Only a third of children with clinical OC were laboratory confirmed, and this was more likely in male children with a history of antibiotic use. Most isolates were highly susceptible to commonly used antifungal agents like fluconazole. Continuous surveillance to monitor susceptibility trends in order to generate local data for empirical management of children with OC is highly recommended.