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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.

Keywords

oral candidiasis Antibiotic use Limited fungi diagnosis

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) days^a	111	7 (5–10)
Antibiotic use
No	154	47.4
Yes	171	52.6
Antifungal use
No	319	98.2
Yes	6	1.8

The 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)
Candida spp.	Number tested	Agents	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.

Footnotes

Acknowledgements

The authors would like to acknowledge the support provided by the Institute of Medical Microbiology, University Medical Center Goettingen, Germany, and the technical support of Mr. Vitus Silago from the department of Microbiology and Immunology, the Catholic University of Health and Allied Sciences, Mwanza, Tanzania and that of Agnieszka Goretzki and Yvonne Laukat from Institute of Medical Microbiology, University Medical Center Goettingen.

Author contributions

MFM, NL, and SEM designed the work. MFM and NL performed laboratory investigations. MFM and SEM analyzed and interpreted the data. MFM wrote the first draft of the manuscript, which was critically reviewed by SEM. All authors read and approved the final version of the manuscript.

Conflict of interest statement

The authors declare that there is no conflict of interest.

Funding

The authors received no financial support for the research, authorship, and/or publication of this article.

Availability of data and material

The data is available upon request and the request should be made to the Director of Research and Innovation, Catholic University of Health and Allied Sciences.

ORCID iD

Martha F. Mushi

References

Wilcox

Straub

Clark

WS.

Prospective evaluation of oropharyngeal findings in human immunodeficiency virus-infected patients with esophageal ulceration. Am J Gastroenterol 1995; 90: 1938–1941.

Thanyasrisung

Kesakomol

Pipattanagovit

, et al. Oral Candida carriage and immune status in Thai human immunodeficiency virus-infected individuals. J Med Microbiol 2014; 63: 753–759.

Fong

Manuel

Burford-Mason

Asymptomatic oral carriage of Candida albicans in patients with HIV infection. Clin Invest Med 1997; 20: 85–93.

Mushi

Mtemisika

Bader

, et al. High oral carriage of non-albicans Candida spp. among HIV-infected individuals. Int J Infect Dis 2016; 49: 185–188.

Walsh

Butler

Fungal infections complicating pediatric AIDS. In: Wilfert

Pizzo

(eds) Pediatric AIDS: the challenge of HIV infection in infants, children, and adolescents. Baltimore, MD: The Williams & Wilkins Co, 1991, pp.225–244.

Staib

Lermann

Blass-Warmuth

, et al. Tetracycline-inducible expression of individual secreted aspartic proteases in Candida albicans allows isoenzyme-specific inhibitor screening. Antimicrob Agents Chemother 2008; 52: 146–156.

Mushi

Bader

Taverne-Ghadwal

, et al. Oral candidiasis among African human immunodeficiency virus-infected individuals: 10 years of systematic review and meta-analysis from sub-Saharan Africa. J Oral Microbiol 2017; 9: 1317579.

Mushi

Masewa

Jande

, et al. Prevalence and factor associated with over-the-counter use of antifungal agents’, in Mwanza City, Tanzania. Tanzania J Health Res 2017; 19: 1–8.

Taha

Graham

Kumwenda

, et al. Morbidity among human immunodeficiency virus-1-infected and-uninfected African children. Pediatrics 2000; 106: e77.

10.

Petersen

Bourgeois

Ogawa

, et al. The global burden of oral diseases and risks to oral health. Bull World Health Organ 2005; 83: 661–669.

11.

Belazi

Velegraki

Koussidou-Eremondi

, et al. Oral Candida isolates in patients undergoing radiotherapy for head and neck cancer: prevalence, azole susceptibility profiles and response to antifungal treatment. Oral Microbiol Immunol 2004; 19: 347–351.

12.

Ambrose

Makani

Chami

, et al. High birth prevalence of sickle cell disease in Northwestern Tanzania. Pediatr Blood Cancer 2018; 65: e26735.

13.

Ahmed

Hokororo

Kidenya

, et al. Prevalence of undernutrition and risk factors of severe undernutrition among children admitted to Bugando medical centre in Mwanza, Tanzania. BMC Nutrition 2016; 2: 49.

14.

Mashuda

Zuechner

Chalya

, et al. Pattern and factors associated with congenital anomalies among young infants admitted at Bugando medical centre, Mwanza, Tanzania. BMC Res Notes 2014; 7: 1–7.

15.

Patil

Rao

Majumdar

, et al. Clinical appearance of oral Candida infection and therapeutic strategies. Front Microbiol 2015; 6: 1391.

16.

Rwenyonyi

Kutesa

Muwazi

, et al. Oral manifestations in HIV/AIDS-infected children. Eur J Dent 2011; 5: 291–298.

17.

Lyamuya

Aboud

Urassa

, et al. Evaluation of simple rapid HIV assays and development of national rapid HIV test algorithms in Dar es Salaam, Tanzania. BMC Infect Dis 2009; 9: 19.

18.

National AIDS Control Programme. National guidelines for the management of HIV and AIDS. New Delhi: Ministry of Health and Social Welfare, 2015.

19.

Williams

Lewis

MAO

. Oral Microbiology: isolation and identification of Candida from the oral cavity. Oral Dis 2000; 6: 3–11.

20.

Pfaller

Houston

Coffmann

Application of CHROMagar Candida for rapid screening of clinical specimens for Candida albicans, Candida tropicalis, Candida krusei, and Candida (Torulopsis) glabrata. J Clin Microbiol 1996; 34: 58–61.

21.

Bernhard

Weig

Zautner

, et al. Yeast On-Target Lysis (YOTL), a procedure for making auxiliary mass spectrum data sets for clinical routine identification of yeasts. J Clin Microbiol 2014; 52: 4163–4167.

22.

Arendrup

Cuenca-Estrella

Lass-Flörl

, et al. EUCAST technical note on the EUCAST definitive document EDef 7.2: method for the determination of broth dilution minimum inhibitory concentrations of antifungal agents for yeasts. Clin Microbiol Infect 2012; 18: E246–E247.

23.

EUCAST. The European Committee on Antimicrobial Susceptibility Testing, http://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Breakpoint_tables/v_6.0_Breakpoint_table.pdf (accessed 1 January 2016).

24.

Pfaller

Diekema

Rex

, et al. Correlation of MIC with outcome for Candida species tested against voriconazole: analysis and proposal for interpretive breakpoints. J Clin Microbiol 2006; 44: 819–826.

25.

Pfaller

Boyken

Hollis

, et al. In vitro susceptibility of invasive isolates of Candida spp. to anidulafungin, caspofungin, and micafungin: six years of global surveillance. J Clin Microbiol 2008; 46: 150–156.

26.

Pfaller

Messer

Boyken

, et al. In vitro activities of 5-fluorocytosine against 8,803 clinical isolates of Candida spp.: global assessment of primary resistance using National Committee for Clinical Laboratory Standards susceptibility testing methods. Antimicrob Agents Chemother 2002; 46: 3518–3521.

27.

Akpan

Morgan

Oral candidiasis. Postgrad Med J 2002; 78: 455–459.

28.

Mushi

Ngeta

Mirambo

, et al. Predictors of esophageal candidiasis among patients attending endoscopy unit in a tertiary hospital, Tanzania: a retrospective cross-sectional study. Afr Health Sci 2018; 18: 66–71.

29.

Oksala

Factors predisposing to oral yeast infections. Acta Odontol Scand 1990; 48: 71–74.

30.

Blignaut

Messer

Hollis

, et al. Antifungal susceptibility of South African oral yeast isolates from HIV/AIDS patients and healthy individuals. Diagn Microbiol Infect Dis 2002; 44: 169–174.

31.

Blignaut

Botes

Nieman

HL.

The treatment of oral candidiasis in a cohort of South African HIV/AIDS patients. SADJ 1999; 54: 605–608.

32.

Blignaut

Oral candidiasis and oral yeast carriage among institutionalised South African paediatric HIV/AIDS patients. Mycopathologia 2007; 163: 67–73.

33.

Cartledge

Midgley

Gazzard

BG.

Non-albicans oral candidosis in HIV-positive patients. J Antimicrob Chemother 1999; 43: 419–422.

34.

Barchiesi

Arzeni

Del Prete

, et al. Fluconazole susceptibility and strain variation of Candida albicans isolates from HIV-infected patients with oropharyngeal candidosis. J Antimicrob Chemother 1998; 41: 541–548.

35.

Lattif

Banerjee

Prasad

, et al. Susceptibility pattern and molecular type of species-specific Candida in oropharyngeal lesions of Indian human immunodeficiency virus-positive patients. J Clin Microbiol 2004; 42: 1260–1262.

36.

Hamza

Matee

Moshi

, et al. Species distribution and in vitro antifungal susceptibility of oral yeast isolates from Tanzanian HIV-infected patients with primary and recurrent oropharyngeal candidiasis. BMC Microbiol 2008; 8: 135.

37.

Mushi

Bader

Bii

, et al. Virulence and susceptibility patterns of clinical Candida spp. isolates from a tertiary hospital, Tanzania. Med Mycol. Epub ahead of print 31 October 2018. DOI: 10.1093/mmy/myy107.

38.

Tsang

Chu

Leung

, et al. Phospholipase, proteinase and haemolytic activities of Candida albicans isolated from oral cavities of patients with type 2 diabetes mellitus. J Med Microbiol 2007; 56: 1393–1398.

39.

Kumar

SSJ

Menon

Phospholipase and proteinase activities of clinical isolates of Candida from immunocompromised patients. Mycopathologia 2006; 161: 213–218.

40.

Gokce

Cerikcioglu

Yagci

Acid proteinase, phospholipase, and biofilm production of Candida spp. isolated from blood cultures. Mycopathologia 2007; 164: 265.

41.

Naglik

Rodgers

Shirlaw

, et al. Differential expression of Candida albicans secreted aspartyl proteinase and phospholipase B genes in humans correlates with active oral and vaginal infections. J Infect Dis 2003; 188: 469–479.

42.

Schäfer-Korting

Blechschmidt

Korting

Clinical use of oral nystatin in the prevention of systemic candidosis in patients at particular risk. Mycoses 1996; 39: 329–339.

43.

Ozturk

Gunes

Koklu

, et al. Oral nystatin prophylaxis to prevent invasive candidiasis in neonatal intensive care unit. Mycoses 2006; 49: 484–492.

44.

Howell

Isaacs

Halliday

, et al. Oral nystatin prophylaxis and neonatal fungal infections. Arch Dis Child Fetal Neonatal Ed 2009; 94: F429–F433.

45.

Enwuru

Ogunledun

Idika

, et al. Fluconazole resistant opportunistic oro-pharyngeal candida and non-Candida yeast-like isolates from HIV infected patients attending ARV clinics in Lagos, Nigeria. Afr Health Sci 2008; 8: 142–148.

46.

Albertson

Niimi

Cannon

, et al. Multiple efflux mechanisms are involved in Candida albicans fluconazole resistance. Antimicrob Agents Chemother 1996; 40: 2835–2841.

47.

Niimi

Firth

Cannon

RD.

Antifungal drug resistance of oral fungi. Odontology 2010; 98: 15–25.

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

Abstract

Background:

Methods:

Results:

Conclusion:

Keywords

Background

Methodology

Study design and settings

Sample size, sampling, and study variables

Data collection and processing

Isolation and identification of Candida spp

In vitro susceptibility assays

Data analysis

Ethical considerations

Results

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

Culture results and susceptibility

Discussion

Study limitation

Conclusion and recommendations

Footnotes

Acknowledgements

Author contributions

Conflict of interest statement

Funding

Availability of data and material

ORCID iD

References