Human Immuno-Deficiency Virus patients with CD4 count below 200uL have been reported to be associated with increase in risk factors responsible for them getting infected with cryptococcal antigen [7]. Based on the fact that HIV attacks the immune cell mostly the CD4 cells resulting in their destruction [8]. Destruction of CD4 cells by HIV has resulted in immuno deficiency hence making HIV patients with CD4 count below 200uL at higher risk of getting ill with cryptococcal antigen infection.
Findings from this study showed the distributionCD4 count among newly infected HIV patients, with those below 200uL having a prevalence of 64. 3%. This finding was supported by Yahaya et al., 2022 where prevalence of 55% was gotten from HIV patient. Similarly, a prevalence of 52. 4% was determined by Chukwuanukwu et al.[9], a study made at south eastern Nigeria even though their study populations were mainly pregnant women utilizing the prevention of mother to child transmission of HIV/AIDS at their center. Low CD4 + ve T cell level has been found to be the only factor significantly associated with positive serum cryptococcal antigenaemia, also the lower the CD4 + ve T cell count, the higher the occurrence of cryptococcal meningitis in HIV infected patients. Hence, the implication of this finding is that once HIV patient have a CD4 count below 200ul it becomes necessary to screen for cryptococcal antigen.
The result of this study also shows that there is increase in the prevalence of cryptococcal antigen among HIV/AIDS patients with CD4 count below 200ul from specialist hospital Sokoto with a prevalence of 38. 2%, and a p-value of 0. 000 indicating that there’s significant association between HIV/AIDS patient with CD4 count below 200uL and cryptococcal antigen infection. This is consistent with the findings of a previous study made at Usmanu Dan Fodiyo University Teaching Hospital Sokoto by Yahaya et al[10], where a prevalence of 11%, chi value of 128. 7 and p-value 0. 00 was determined. Similarly, a prevalence of 13% was determined by Chukwuanukwu et al.[9], a study made at southeastern Nigeria even though their study population were mainly pregnant women utilizing the prevention of mother to child transmission of HIV/AIDS at their center. Similarly, a prevalence of 12. 7% was found by Favour et al.[6] in a study conducted in Benin city, Nigeria. The finding of this study concurs with the 12. 2% in Congo, 12. 9% in Bangkok and 13. 5% in Kampala, Uganda. However, it is in contrary with the study on the prevalence of cryptococcal antigenaemia and its relation to CD4 + ve T cell counts and WHO clinical staging among treatment naive HIV positive Nigerian adults [11]. In which cryptococcal antigenaemia rate of 1. 6% was observed, which was similar with previous reports from Shika in Nigeria 2. 2%, Tanzania 3% and USA 2. 9%. However, this overall prevalence value in this study is lower than some reports from Nnewi 13. 1%, South east, and Benin 12. 7%, South-south part of Nigeria as well as Kenya 11%, Uganda 5. 7%, Indonesia 7. 1% and Thailand 9. 2%. This relatively high prevalence from the research is comparable across different regions in Nigeria and around Africa, this is based on the fact that HIV targets and destroys the immune cells thereby resulting in immunodeficiency hence making the patients to be at higher risk of getting ill with cryptococcal antigen infection. Thereby indicating needs for the institution of national screening program for HIV patients for Cryptococcal antigen, alsothe detection of cryptococcal antigen in the serum (CrAg) is clinically relevant and precedes the onset of overt disease. Early diagnosis of CM would translate into a reduction in CM-related deaths. Considering the substantial mortality and morbidity associated with CM, preventive interventions should be prioritized.
Findings from this study showed that majority of the study population were between the age group of 31–40 years (47. 6%), chi square value of 7. 590 and p-value of 0. 669 indicating no significant association between age and co-infection with HIV and CrAg. This is similar to 2022 study on prevalence and factors associated with cryptococcosis among HIV infected patient of a tertiary hospital in North western Nigeria by Yahaya et al.[10], with high prevalence among age group of 30–39 years (40. 2%) and p-value of 0. 6660. However, it is in contrast with to a study done in central Nigeria on patient’s satisfaction with ART services by Osungbade et al. [12], which showed that majority with 27. 1% chi square value of 3. 629 and p-value of 0. 30 and the entire client assessing ART services were young people aged 15–24 years old. Also in contrast with the study by Balogun et al.[11], where most of the patients in our study were in age group 29–39 years and this observation is similar to findings in a previous research with 24–40 years.
Findings from this study also showed that majority of the study population was among married individuals with the prevalence of 61. 9%, chi square value of 10. 974 and p-value of 0. 089 showing there’s no significant relationship between marital status and co-infection of HIV and CrAg. This is similar to prevalence of 49. 3%, chi square value of 6. 865 and p-value of 0. 076 gotten by Osungbade et al. [12]. This is due to the fact that married couples share higher level of intimacy and spend time together closely hence they can transmit it to one another through contaminated air droppings from either of them.
Findings from this study also showed the distribution of HIV and CrAg based on socio-economical risk factors such as tribe, educational status and occupation. Based on tribe it was high among the Hausa/Fulani having a prevalence of 85. 7%. This was supported by Yahaya et al. [10], where the prevalence of 82. 3% was obtained. Based on educational status it was high among people with only informal education having a prevalence of 66. 7%. This was in contrary to Yahaya et al. [10], where prevalence was high among formally educated individuals with prevalence of 33. 1%. Based on occupational status it was high among Business owners with prevalence of 42. 9%. This was in contrary to Yahaya et al. [10] where prevalence was high among unemployed individuals with prevalence of 37. 1%. This high prevalence among Hausa/Fulani is as a result of the region in which the research was carried out having high population of Hausa/Fulani in general, high prevalence seen among people with only informal education is due to lack of formal knowledge on the disease, it preventions and how to stay healthy, also high prevalence seen among people whose occupation are business owner is due to the fact that they come in contact with so many people and the unhealthy life style and practices common to business owners, due to lack of organization nor rules governing most of their activities.