Cryptococcosis is an infection with the fungus Cryptococcus. It is a serious opportunistic infection among people with compromised immune systems, such as those with advanced HIV/AIDS. Cryptococcus species are found in the soil and in avian feaces throughout the world (1). Most people probably breathe in small amounts of microscopic, airborne spores every day because Cryptococcus is common in the environment. Sometimes, these spores cause mild symptoms of respiratory infection, but at other times there are no symptoms at all (2). In healthy people, the fungus usually does not cause serious illness because the immune system can fight off the fungus, therefore they remain asymptomatic. However, in immunocompromised individuals, the fungus can stay hidden in the body and later re-activate, spreading to other parts of the body and causing serious disease (3).

Human immunodeficiency virus (HIV) belongs to the genus Lentivirus of the Retroviridae family, which is responsible for HIV infection (4). The HIV destroys the human immune system thereby producing a group of symptoms and signs called Acquired Immune Deficiency Syndrome (AIDS)(5). In a healthy host, opportunistic organisms (OIs) rarely cause diseases. However, they cause diseases in individuals with weak immune system such as those with HIV/AIDS. The opportunistic disease infections can be caused by many different organisms, including bacteria, viruses, parasites, or fungi. In HIV/AIDS patients, they include Tuberculosis, Cryptococcal meningitis, Pneumocystis pneumonia and Candida infection (4).

Cryptococcal disease is a major contributor to early mortality in HIV infected subjects (6). Cryptococcal infections in humans are caused exclusively by two Cryptococcus species namely Cryptococcus neoformans and Cryptococcus gattii. However, Cryptococcus neoformans is the most common biological agent implicated in Cryptococcal disease in patients with AIDS (7). Cryptococcosis is not contagious and as such cannot spread from person-to-person. Cryptococcal meningitis (CM) occurs after Cryptococcus has spread from the lungs to the central nervous system causing inflammation of the meninges. Meningitis can also be caused by a variety of other organisms, including bacteria, viruses, and other fungi (8). Cryptococcal meningitis is the second most common life-threatening HIV-associated opportunistic infection after tuberculosis and may be responsible for up to 20% of deaths in resource limited settings. In sub-Saharan Africa alone, there are more than 700,000 new cases and about 500,000 deaths each year due to CM, which may exceed those attributed to tuberculosis meningitis (9).

In low-resource settings, about half of all patients with CM usually die from it. There are various reasons why the death rate is so high in these parts of the world: first, patients often present with the disease at an advanced stage thus making treatment to be less effective. Second, there are no clinical criteria that reliably predict the diagnosis of Cryptococcosis, and routine diagnostic laboratories often lack the ability to perform fungal cultures or CrAg testing (8). Third, Amphotericin-B, the required medication to treat CM is very expensive or not readily available in these areas of the world. Hence, many patients with CM are treated sub-optimally (10).

The estimated overall number of People Living with HIV (PLWHIV) by the end of 2014 was approximately 36.9 million. Sub-Saharan Africa was the most affected region, having an average of 25.8 million PLWHIV and 66% of all people with HIV infection living in the region (11). About nine percent of all people living with HIV globally reside in Nigeria. Available data shows that the prevalence of Cryptococcus neoformans infection among HIV-infected patients is up to 40% in most parts of the world particularly in sub-Saharan Africa and Southeast Asia which are considered the epicenters of the HIV/AIDS pandemic (10).

Cryptococcal antigen (CrAg) is a marker for cryptococcal infection. The antigen is produced by the fungus Cryptococcus spp. Cryptococcal screening is a key strategy to prevent development of cryptococcal meningitis and ultimately death in infected subjects. Detection of CrAg in blood and cerebrospinal fluid weeks to months before the patient develops symptoms of cryptococcosis is now possible (13). Patients who are found to have cryptococcal antigen in their body are much more likely to develop meningitis than those who do not have antigen. The presence of CrAg in body fluids predicts development of cryptococcosis (14). Therefore, early CrAg screening in HIV subjects may be helpful in minimizing HIV-associated mortalities.

Nigeria is the second largest HIV epidemic country in the world after South Africa (11). Diagnosis of HIV occurs at a late stage and treatment coverage in the country is relatively low. With these challenges, patients continue to die of HIV-related opportunistic infections (OIs) in the weeks prior to and months following initiation of anti-retroviral therapy (ART) (9). Management of CM requires complex treatments and usually prolonged hospitalizations, representing a significant increase in health costs. Treatment of asymptomatic or latent cryptococcal infection with oral fluconazole is a much less expensive and highly available option compared to standard-of-care for meningitis (13, 15). This study was therefore conducted to determine the prevalence of CrAg and to compare the CD4 count and the presence of CrAg among individuals attending Adeoyo Maternity Teaching Hospital, Yemetu, Ibadan, Oyo State.


Study Area

Adeoyo Maternity Teaching Hospital is a government owned specialized service hospital in Yemetu, Ibadan, Oyo State, Southwestern Nigeria. It was selected because it houses a PEPFAR clinic and serves as a major maternity hospital and general hospital for children and adult patients.

Study Design and Population

A hospital-based, case-control study design was employed in this study. The study populations were Nigerian adults (age range 18-65 years), male and female. Cases were HIV seropositive subjects while controls were HIV seronegative subjects attending Adeoyo Maternity Teaching Hospital, Yemetu Ibadan. Patients with recent diagnosis of any other form of meningitis and patients on antifungal treatment for any other fungal disease were excluded from this study. Patients with chronic infections such as diabetes mellitus, chronic obstruction pulmonary disease and chronic granulomatous infections were also excluded from the study.

Ethical Approval

Ethical approval for this study was obtained from Oyo State Ministry of Health Ethical Review Committee. Administrative approval was also obtained from the management of Adeoyo Maternity Teaching Hospital, Yemetu before starting the study. Ethical principles were maintained during the study. These included;

  • A written informed consent was attached to the questionnaire for the subjects to obtain individual consent to participate in the study.
  • Confidentiality of data: the content will not be disclosed to anybody except co-investigators.
  • Beneficence: results of Cryptococcal antigen screening was given to the managing clinical team free of charge
  • Voluntariness: every target participant had the right not to participate in the study when approached.

Sample size determination

The minimum number of participants required for the study was calculated to be 114. Therefore, 114 cases and 228 controls were recruited for this study. Hence 342 subjects were recruited for this study at a ratio of a case to two controls.

Sampling Technique

Simple random sampling technique was employed to recruit study participants. This involved sampling participants that meet the inclusion criteria within the recruiting period (January and March 2018) until the calculated sample size was obtained.

Data Collection

A well-structured, pre-tested, interviewer administered questionnaire was used to obtain information from selected study participants (HIV-positive and HIV seronegative adults) who consent to participate in the study. The questionnaire consists of four sections,

  • Socio-demographic characteristics (Sex, Age in years, Level of Education, Occupation and Marital Status)
  • Risk factors for acquiring Cryptococcal infection
  • Clinical features suggestive of Cryptococcal infection
  • Retrospective review of CD4 count records in HIV infected subjects (among cases)

Sample Collection

Five milliliter (5ml) whole blood was aseptically collected by venipuncture and dispensed into a plain specimen bottle using sterile disposable syringe and needles from both HIV-seropositive and HIV-seronegative subjects. Blood samples were placed erect in the tube rack for 30 minutes to allow for clot retraction. Clotted blood samples were centrifuged in a bench centrifuge at 4,000 revolutions per minute for 3-5 minutes to obtain serum after clot retraction. Separated serum samples were stored at -20°C pending laboratory analysis.

Sample analysis

Serum CrAg was determined using Cryptococcal Antigen Lateral Flow Assay (CrAg LFA) (Dynamiker Biotechnology, China). This detection kit is a simple, sensitive and qualitative latex test. It uses sandwich immuno-chromatographic assay for the detection of capsular polysaccharide antigens of Cryptococcus species complex (Cryptococcus neoformans and Cryptococcus gatti) in human serum and cerebrospinal fluid (CSF).

Quality Control

Research assistants were trained on how to administer questionnaires on respondents. Questionnaires were pre-tested before field work at another hospital in Ibadan, Oyo State. Quality control was ensured on latex kits for determining CrAg. A coloured band appearing in the control region was considered as an internal positive procedural control. This confirmed sufficient specimen volume and correct procedural technique. External positive and negative controls provided by the manufacturers were assayed along with each batch of serum samples analyzed. This was done to ensure that the tests are functioning properly. Data obtained was be cleaned before analysis.

Data Analysis

Data was entered and analyzed using Epi info software version 7.2. Quantitative variables were summarized using mean and standard deviation while qualitative variables were summarized using frequencies and proportions. Bivariate analysis was used to test the association between variables and the level of significance was set at p≤ 0.05. The dependent variable in this study was the presence or absence of Cryptococcal antigen. Independent variables include age, gender, marital status, religion, level of education, HIV status, socio-economic status, ethnicity, smoking status, neck pain, fatigue, fever, cough, headache, sensitivity to light, neurologic deficit, history of exposure to pigeons/excreta and history of organ transplant.


A total of 342 subjects participated in this study which was conducted between January and March, 2018. One hundred and fourteen of the subjects were HIV seropositive while 228 were HIV seronegative. Blood sample was collected from all the participants while some sections of the questionnaire were not answered by all.

Prevalence of Cryptococcal Antigen among HIV Seropositive and Seronegative Subjects

Table I shows that the mean age of HIV seropositive subjects was 41.2 ± 10.0 years while that of HIV seronegative subjects was 38.9±13.7 years. Amongst cases, female participants constitute 85 (74.6%) while 104 (91.2%) of the study participants are married while among controls, female participants constitute 156 (68.4%) and 176 (61.8%) of the study participants are married.

Table I

Demographic Characteristics of HIV Seropositive and Seronegative Subjects Screened for Cryptococcal Antigen

  Cases Controls
Variables Freq (n=114) (%) CrAg Freq (n=13) (%) Freq (n=228) (%) CrAg Freq (n = 16) (%)
Age Group (years)                
<20 - - - - 15 6.6 - -
21-30 18 15.8 2 - 57 25 6 2.6
31-40 44 38.6 7 1.75 70 30.7 5 2.2
41-50 32 28.1 1 6.1 36 15.8 1 0.4
51-60 15 13.2 3 0.9 26 11.4 3 1.3
>60 5 4.4   2.6 24 10.5 1 0.4
Mean ± SD 41.2 ± 10.0       38.9 ± 13.7      
Total       11.4       7
Male 29 25.4 2 1.8 72 31.6 7 3.1
Female 85 74.6 11 9.6 156 68.4 9 3.9
Marital Status                
Single 10 8.8 1 0.9 51 22.4 5 2.2
Married 104 91.2 12 10.5 142 62.3 11 4.8
Co-habiting - - - - 9 3.9 - -
Widowed - - - - 18 7.9 - -
Divorced/Separated - - - 1 7 3.1 - -
Type of family                
Monogamy 70 61.4 10   182 79.8 11 4.8
Polygamy 35 30.7 2   46 20.2 5 2.2
Missing 9 7.9 1   - - - -
Christianity 61 53.5 10 8.8 127 55.7 11 4.8
Islam 50 43.9 - - 100 43.9 5 2.2
Traditional 3 2.6 3 2.6 1 0.4 - -
Educational Level                
None 6 5.3 - - 6 2.6 - -
Primary 40 35.1 2 1.8 26 11.4 1 0.4
Secondary 47 41.2 8 7 72 31.6 3 1.3
Tertiary 20 17.5 3 2.6 96 42.1 5 2.2
Postgraduate 1 0.9 - - 27 11.8 7 3.1
Student 2 1.8 2 1.8 56 24.6 6 2.6
Civil servant 13 11.4 1 0.9 56 24.6 1 0.4
Farmer 3 2.6 9 7.9 10 4.4 2 0.9
Business/Trader 89 78.1 - - 49 21.5 3 1.3
Unemployed 2 1.8 1 0.9 32 14 3 1.4
Retired 5 4.4 - - 23 10.1 1 0.4

Thirteen (11.4%) participants tested positive for serum cryptococcal antigen among cases while sixteen (7.0%) participants tested positive for serum cryptococcal antigen among controls. Among cases, the most affected age group was 41-50 years with seven (6.1%) positive subjects and 11(9.6%) of the CrAg positive participants were females while 12 (10.5%) were married. The most affected age group among controls was 21-30 years with six (2.6%) CrAg positive subjects in age group less than 20 years had no positive cases. Nine (3.9%) of the CrAg positive participants were females while 11 (4.8%) were married.

Comparism between prevalence of Cryptococcal Antigen among Cases and Controls

Figure I show the proportion of Cryptococcal Antigen among cases and controls. Table II shows comparison between the prevalence of CrAg among cases and controls. Thirteen participants out of 114 HIV seropositive subjects tested positive for CrAg thereby giving a prevalence of 11.4%. Sixteen participants out of 228 HIV seronegative subjects tested positive for CrAg thereby giving a prevalence of 7.0%. There was a cumulative prevalence of 8.5% among all the study participants. HIV positive subjects were about two times more likely to test positive for CrAg. However, the association was not statistically significant (OR: 1.71, 95%CI: 0.79 - 3.68).

Figure I 

Bar Chart showing the proportion of Cryptococcal Antigen among cases and controls

Table II

Comparison between the prevalence of Cryptococcal Antigen among HIV Seropositive and Seronegative Subjects

    Result of CrAg Screening        
    Positive Negative Odds Ratio 95% CI Chi-square P-value
HIV Status Positive 13 101        
Negative 16 212 1.71 (0.79 - 3.68) 1.8839 0.1699
  Total 29 313        

Distribution of CD4 counts among HIV Seropositive Subjects Screened for Cryptococcal Antigen

Table III shows distribution of CD4 counts among cases. The mean ± standard deviation of CD4 counts (cells/µl) in CrAg positive subjects were significantly lower when compared with CrAg negative subjects. The CD4 count results for five of the CrAg negative subjects were not found during retrospective review of laboratory records.

Table III

Distribution of CD4 counts among HIV Seropositive Subjects Screened for Cryptococcal Antigen at Adeoyo Maternity Teaching Hospital Yemetu Ibadan

  CrAg Positive, n=13 (%) CrAg Negative, n=109 (%)
CD4 Counts (cells/µl)    
≤100 8 (61.5) 7 (6.4)
101 - 200 1 (7.7) 15 (13.8)
>200 4 (30.8) 74 (67.9)
Missing 0 5* (6.8)
Mean ± SD 188.7 ± 201.2 445.3 ± 302.1

* = CD4 counts not included

Relationship between CD4 counts and results of Cryptococcal Antigen screening among HIV Seropositive Subjects

Figure II shows the distribution of CD4 counts (cells/l) among HIV infected subjects who tested positive for cryptococcal antigen. Most of the HIV infected subjects (eight out of 13) had CD4 counts of <100 cells/l, only one had CD4 count of between100-200cells/l while four subjects who tested positive for cryptococcal antigen had higher counts. Table IV shows association between CD4 counts and results of cryptococcal antigen screening among HIV seropositive subjects. Individuals with CD4 counts of ≤100cells/µl were 20 times more likely to have positive serum cryptococcal antigen than individuals with CD4 counts >100 cells/µl and this association was found to be statistically significant (OR: 20.3, 95%CI: 5.23-78.9).

Figure II 

Distribution of CD4 counts among HIV infected subjects with Cryptococcal Antigen

Table IV

Relationship between CD4 counts and results of Cryptococcal Antigen screening among HIV Seropositive Subjects

  Result of CrAg Screening        
  Positive Negative Odds Ratio 95% CI Chi-square P-value
CD4 Count            
≤100 8 7        
>100 5 89 20.3 5.23 - 78.99 28.3903 <0.00000*
Total 13 101        

* = statistical significance


Cryptococcal antigen was present among both cases and controls. However, the prevalence of serum CrAg was higher among HIV seropositive subjects. There was a statistically significant inverse association between subjects' immune status and the risk of having serum CrAg. Individuals with diminished CD4 counts (<100 cells/µl) were more likely to have positive serum CrAg than individuals with higher counts.

The observed prevalence (11.4%) of CrAg among HIV seropositive subjects in this study is similar to the findings of those in Ethiopia and in southeast Nigeria who reported a prevalence of 12.7%, 10.2% and 13.1% respectively (14, 15). Despite several interventions and investments to fight the scourge of HIV/AIDS, cryptococcosis continues to be a major public health challenge especially as patients continue to die of HIV-related OIs (16). Our observed prevalence is higher than the 5.0%, 5.7%, 2.1%, 3.3% and 1.2% prevalence rates reported in United Kingdom, Uganda, South Africa, Namibia and (16, 17) northwest Nigeria, respectively (13, 17 - 20). Also, our observed prevalence is lower than the 16.7% prevalence rate observed in Maiduguri, northeastern, Nigeria (18). The discordance in the observations may be due to environmental conditions and differences in sample size as well as presence and rate of use of HIV intervention services. Also, study location and HIV prevalence appear to influence the incidence of cryptococcosis in HIV/AIDS. The higher prevalence of CrAg among HIV seropositive subjects in Borno State as observed previously (18) may be because pigeon raring is more common in the North than in the Southern part of Nigeria where our study was conducted.

Findings from the current study lend further credence to the opinion that Cryptococcus is present in the environment, but the infection manifests and thrive mostly among individuals with altered immune response system. Our finding is discordant to the 0% reported among HIV seronegative pregnant women in southeastern Nigeria (19). Although pregnant women are considered immunosuppressed, the stage of their pregnancy was not reported in the study. However, this finding might be due to absence of Cryptococcus species in their environment, as the level of contamination of their environment cannot be ascertained. Most of the studies available on prevalence of cryptococcosis in HIV-seronegative subjects are retrospective usually among patients with cryptococcal meningitis (18, 19). Although, cryptococcal infection is widely known to affect both HIV-seropositive and seronegative individuals, the severity is more among immunosuppressed persons especially when their CD4 count drops below 100 cells/µl. Studies in Vietnam and China (21, 22) showed that cryptococcosis is becoming common in patients with apparently normal immune systems and HIV seronegative subjects. The discordance recorded further confirms that the level of exposure to Cryptococcus varies according to the level of environmental contamination by the fungus from the primary source.

Our finding of a higher prevalence of serum CrAg among HIV seropositive subjects when compared with HIV seronegative subjects corroborates findings from other studies (19,21). This further suggests that cryptococcal infection is a common opportunistic infection among HIV seropositive individuals (23). From our study, HIV positive subjects were about two times more likely to test positive for CrAg. Though, the association was not statistically significant, this further indicates that the organism is present in the environment and that exposure to the antigen is similar among both HIV seropositive and seronegative individuals. However, the response in terms of containment of infection is responsible for the severity of the clinical manifestations of the infection among immunocompromised individuals (24, 25). Cryptococcosis remains a disease with significant morbidity and mortality in the developed and developing worlds and the relative burden among persons without HIV infection is increasing (26). It is therefore very important to control environmental contamination through proper environmental sanitation to prevent undue exposure most importantly those that are immunosuppressed. This will also help to reduce OIs among HIV infected subjects.

Several studies have reported immunosuppression and autoimmune disorders as the number one risk factor for Cryptococcal antigen infection and Cryptococcus meningitis (13, 29-30). Our study shows that individuals with low CD4 counts (<100 cells/µl) were much more likely to test positive for cryptococcal antigen than individuals with higher CD4 counts. This association was found to be statistically significant, which further justifies the importance of helper T cells in the protection against opportunistic infections in the body and justifies the monitoring of CD4 counts in HIV seropositive subjects (21, 25). HIV seropositive patients, in addition to monitoring their CD4 count, should also be screened regularly for presence of opportunistic organisms (infections) to ensure that they could receive early treatment and improve their survival.


The presence of cryptococcal antigen among HIV seropositive and seronegative populations confirms the availability of Cryptococcus in the environment. The prevalence of serum cryptococcal antigen was however higher among HIV seropositive subjects with low CD4 counts and may predict impending cryptococcal infection. Therefore, regular CrAg screening should be part of the routine tests amongst all confirmed HIV seropositive cases and particularly those with CD4 counts <100cells/mm3.


Serum CrAg testing, which is the method employed in this study, does not usually detect antibodies in the early stage of infection or in chronic immunosuppressive subjects. Also, antigens may not be detectable in blood if infection is localized in the lungs. Kits for cryptococcal screening are expensive and not readily available; hence, continuous monitoring is and testing higher ratios of controls to cases was difficult. These may limit the generalization of our findings.


We appreciate the leadership of the Nigeria Field Epidemiology and Laboratory Training Program for their technical inputs and for providing funds for kit procurement during the course of this work. Special thanks to Mr. Abiodun Aboderin, Mrs. Taiwo and other Medical Laboratory Scientists at Adeoyo Maternity Teaching Hospital, (AMTH), Yemetu, Ibadan for their support throughout the period of this work. The cooperation of the entire staff of AIDS Prevention Initiative Clinic, AMTH, Yemetu, Ibadan is worth mentioning.


1. Chen Y, Litvintseva AP, Frazzitta AE, Haverkamp MR, Wang L, Fang C, et al. Comparative analyses of clinical and environmental populations of Cryptococcus neoformans in Botswana. Mol Ecol. 2015;24(14):3559-71. DOI:

2. Springer DJ, Mohan R, Heitman J. Plants promote mating and dispersal of the human pathogenic fungus Cryptococcus. PLoS One. 2017;12(2). DOI:

3. Vu K, Tham R, Uhrig JP, Thompson GR, Na Pombejra S, Jamklang M, et al. Invasion of the central nervous system by Cryptococcus neoformans requires a secreted fungal metalloprotease. MBio. 2014;5(3). DOI:

4. Srichatrapimuk S, Sungkanuparph S. Integrated therapy for HIV and cryptococcosis. Vol. 13, AIDS Research and Therapy. 2016. DOI:

5. Kaplan JE, Vallabhaneni S, Smith RM, Chideya-Chihota S, Chehab J, Park B. Cryptococcal antigen screening and early antifungal treatment to prevent cryptococcal meningitis: a review of the literature. J Acquir Immune Defic Syndr [Internet]. 2015;68 Suppl 3:S331-9. Available from:

6. Sow D, Tine RC, Sylla K, Djiba M, Ndour CT, Dieng T, et al. Cryptococcal Meningitis in Senegal: Epidemiology, Laboratory Findings, Therapeutic and Outcome of Cases Diagnosed from 2004 to 2011. Mycopathologia. 2013;176(5-6). DOI:

7. La Hoz RM, Pappas PG. Cryptococcal infections: Changing epidemiology and implications for therapy. Vol. 73, Drugs. 2013. p. 495-504. DOI:

8. Veltman JA, Bristow CC, Klausner JD. Review article Meningitis in HIV-positive patients in sub-Saharan Africa : a review. J Int AIDS Soc. 2014;(March):1-10. DOI:

9. Oladele RO, Akanmu AS, Nwosu AO, Ogunsola FT, Richardson MD, Denning DW. Cryptococcal antigenemia in Nigerian patients with advanced human immunodeficiency virus: Influence of antiretroviral therapy adherence. Open Forum Infect Dis. 2016;3(2). DOI:

10. Loyse A, Thangaraj H, Easterbrook P, Ford N, Roy M, Chiller T, et al. Cryptococcal meningitis: Improving access to essential antifungal medicines in resource-poor countries. Vol. 13, The Lancet Infectious Diseases. 2013. p. 629-37. DOI:

11. Denning DW. Minimizing fungal disease deaths will allow the UNAIDS target of reducing annual AIDS deaths below 500 000 by 2020 to be realized. Philos Trans R Soc B Biol Sci [Internet]. 2016;371(1709):20150468. Available from:

12. Park BJ, Wannemuehler KA, Marston BJ, Govender N, Pappas PG, Chiller TM. Estimation of the current global burden of cryptococcal meningitis among persons living with HIV / AIDS. 2009;(July 2008):525-30. DOI:

13. Ramachandran A, Manabe Y, Rajasingham R, Shah M. Cost-effectiveness of CRAG-LFA screening for cryptococcal meningitis among people living with HIV in Uganda. BMC Infect Dis. 2017;17(1):225. DOI:

14. Kim H, Jung KW, Maeng S, Chen YL, Shin J, Shim JE, et al. Network-assisted genetic dissection of pathogenicity and drug resistance in the opportunistic human pathogenic fungus Cryptococcus neoformans. Sci Rep. 2015;5. DOI:

15. Sawadogo S, Makumbi B, Purfield A, Ndjavera C, Mutandi G, Maher A, et al. Estimated prevalence of Cryptococcus antigenemia (CrAg) among HIV-infected adults with advanced immunosuppression in Namibia justifies routine screening and preemptive treatment. PLoS One. 2016;11(10). DOI:

16. Sarvepalli AK, Dharana PK. Spectrum of opportunistic infections with correlation to CD4 counts in newly diagnosed HIV seropositive cases. Int J Adv Med [Internet]. 2017;4(1):252-8. Available from:

17. W. P. Datir-Rawlings and O. Azeez-Akande. Cryptococcal Antigenemia in HIV-Infected Patients Attending a Tertiary Healthcare Centre in Kano , Northwest , Nigeria. Calabar J Heal Sci Vol 1 No 1, 2017. 2017;1(1):51-7.

18. Goni BW, Kida IM, Saidu IA, Yusuph H, Brown M, Bakki B, et al. Cryptococcal neorformans Antigenemia among HIV-Infected Patients in North Eastern Nigeria Abstract Abubakar and. J Transm Dis Immun. 2017;1(7):1-8.

19. Chukwuanukwu R, Manafa P, Iloghalu E, Onyenekwe C, Ifeanyichukwu M. Cryptococcus neoformans Antigenemia in HIV Positive Pregnant Women Attending a PMTCT Clinic in South-East Nigeria. J Biol Agric Healthc. 2013;3(18):15-21.

20. Panackal AA, Wuest SC, Lin YC, Wu T, Zhang N, Kosa P, et al. Paradoxical Immune Responses in Non-HIV Cryptococcal Meningitis. PLoS Pathog. 2015;11(5). DOI:

21. Day JN, Qihui S, Thanh LT, Trieu PH, Van AD, Thu NH, et al. Comparative genomics of Cryptococcus neoformans var. grubii associated with meningitis in HIV infected and uninfected patients in Vietnam. PLoS Negl Trop Dis. 2017;11(6):1713-23. DOI:

22. Fang W, Fa Z, Liao W. Epidemiology of Cryptococcus and cryptococcosis in China. Fungal Genet Biol. 2015;78:7-15. DOI:

23. Limper AH, Adenis A, Le T, Harrison TS. Fungal infections in HIV/AIDS. Vol. 17, The Lancet Infectious Diseases. 2017. p. e334-43. DOI:

24. Brito-Santos F, Barbosa GG, Trilles L, Nishikawa MM, Wanke B, Meyer W, et al. Environmental isolation of cryptococcus gattii VGII from indoor dust from typical wooden houses in the deep Amazonas of the rio Negro basin. PLoS One. 2015;10(2). DOI:

25. May RC, Stone NRH, Wiesner DL, Bicanic T, Nielsen K. Cryptococcus: From environmental saprophyte to global pathogen. Vol. 14, Nature Reviews Microbiology. 2016. p. 106-17. DOI:

26. Pyrgos V, Seitz AE, Steiner CA, Prevots DR, Williamson PR. Epidemiology of Cryptococcal Meningitis in the US: 1997-2009. PLoS One. 2013;8(2). DOI:

27. Osazuwa OF, Dirisu O, Okuonghae E. Cryptococcal antigenemia in anti-retroviral naïve aids patients: Prevalence and its association with CD4 cell count. Acta Med Iran. 2012;50(5):344-7.

28. Sloan DJ, Parris V. Cryptococcal meningitis: Epidemiology and therapeutic options. Vol. 6, Clinical Epidemiology. 2014. DOI: