Introduction
AIDS is an emerging pandemic viral infectious disease caused by Human Immunodeficiency Virus, which has posed the greatest challenge to public health in modern world. Clinical manifestations in HIV infections are primarily due to viral cytopathology and are secondary to the failure of both cellular and humoral immune response.1, 2, 3, 4, 5
Opportunistic infections with low CD4 counts influence the morbidity and mortality due to HIV infections. 1, 3, 5, 6 Patients with CD4 counts >200 /mm3 are 6 times more likely to develop opportunistic infections compared to those with CD4 counts of > 350/mm.3
In India, Tuberculosis is the most commonly reported opportunistic infection with CD4 cells >200 / mm3. 2, 3 Other commonly reported opportunistic infections among HIV infected are Oral Candidiasis, Herpes zoster, Cryptococcal Meningitis, Cerebral Toxoplasmosis and Cytomegalovirus Retinitis with CD4 counts < 200 /mm3. 6, 7
The high incidence of commonly reported opportunistic infections with low CD4 counts in Indian HIV infected individuals highlights the need for early screening and also the need to increase awareness in health care providers in order to improve decisions regarding prophylaxis for prevention and appropriate therapeutic interventions. 7, 8, 9
To determine role of CD4 decline and the incidence of opportunistic infections, CD4 counts as a clinical score serve as both an alarm for timing of prophylaxis and a guide for therapeutic intervention. 2, 3, 6, 10
It is also documented that types of opportunistic infections is profoundly influenced by geography and prevalence of infectious diseases in particular region, nutritional, socioeconomic conditions and other factors. 1, 2, 11, 7 Therefore this study will be conducted to evaluate the correlation between CD4 counts in HIV infected patients with onset of specific opportunistic infections. 1, 2, 7, 9
Materials and Methods
Source of data
This was a prospective study involving proven Fungal cases of HIV/AIDS with signs and symptoms of opportunistic infections attending the outpatient department or admitted to Hospitals during the one year period, from June 2017 to June 2018 from the study group.
Sample size
500 HIV/AIDS seropositive patients with signs and symptoms of OIs, clinically, radiologically and diagnostically proven cases. Informed consent was taken from all patients during the study.
Method of collection of data
Inclusion criteria
Confirmed HIV seropositive cases seeking medical care for signs and symptoms of opportunistic infections like PUO, Fungal infections, Candidiasis, Cryptococcosis, Pneumocystosis, Histoplasmosis, Coccidiodosis. Pneumocystis carinii, Lymphadenopathy, Refractory anemia, Idiopathic Thrombocytopenia.
Methods of specimen collection
Specimen for CD4 count
With strict aseptic precautions, 3ml of venous blood sample was collected by venepuncture using EDTA vacutainer and processed by flow cytometry, according to the standard protocol supplied by the manufacturer. (PARTEC IVD FLOW CYTOMETER machine, by Partec Gmbh. Am Flugplatg 13. D-02828 Gorlitz. Germany).
Principle
The mouse monoclonal antibody MFM-241 recognizes the human CD4 antigen, a transmembrane glycoprotein (55 kDa) of the immunoglobulin supergene family, present on a subset of T-lymphocytes ("helper/inducer" T-cells) and also expressed at a lower level on monocytes, tissue macrophages and granulocytes. Approximately 20-60% of human peripheral blood mononuclear cells as well as a subpopula-tion of monocytes but with a weaker signal are stained The antibody has been studied at the 8th International Workshop on Human Cell Differentiation Molecules HCDM (former HLDA VIII), May 2006, Quebec, Canada. CD4 is the primary cellular receptor for the human immunodeficiency virus (HIV).
Flow cytometric analysis
CD4-PE fluorescence can be analysed on a Partec Flow Cytometer with an excitation light source of 488 nm or 532 nm (blue or green solid state laser). To count CD4+ T-cells transfer the test tube with 84ftul of the ready prepared blood sample (see Method) to the Partec counting results will be displayed automatically as CD4+ T-cells per µl whole blood.
Method
20 µl whole blood (EDTA as anticoagulant) were taken in a Partec test tube.
20 µl of CD4 mAb PE then added and mixed gently, later incubated for 15 minutes at room temperature protected from light.
800 µl of no lyse buffer is added to Partec test tube and shaken or vortexed gently.
Blood samples were then analyzed on a Partec device by aspiration and results displayed on screen were noted.
All clinical, radiological and laboratory data available,which includes baseline investigations in all HIV seropositive individuals, screening and confirmation for HIV infections available [Strategy III WHO] were recorded & documented in standard proforma for later analysis.
Results
The present study was carried out on 500 HIV seropositive patients with signs and symptoms of 65 Fungal opportunistic infections attending District Hospital, ART center, over a period of 12 months (June 2017 to May 2018), to know the incidence of fungal infections and their correlation with CD4 count.
The observations made from the study are shown in the following
Table 1
Age distribution of cases
|
Age |
No. of cases |
Percentage |
|
<20 |
35 |
7.0 |
|
21-30 |
76 |
15.2 |
|
31-40 |
189 |
37.8 |
|
41-50 |
143 |
28.6 |
|
51-60 |
39 |
7.8 |
|
>60 |
18 |
3.6 |
|
Total |
500 |
100.0 |
In our study out of 500 cases includes age group of < 20yrs to > 60yrs, maximum cases noted were 189(37.8%) cases with age group of 31-40yrs,18 (3.6%) cases were least group with age group > 60yrs.
Table 2
Sex distribution of cases
|
Sex |
No. of cases |
Percentage |
|
Male |
276 |
55.2 |
|
Female |
224 |
44.8 |
|
Total |
500 |
100.0 |
Among gender distribution of cases, maximum cases were 276 (55.2%) noted in males, with a male: female ratio of 1.2:1.
Table 3
Distribution of risk factors among cases
In our study, we found majority of study group were 434 (86.8%) cases belongs to heterosexual risk group, least study group 2(0.4%) cases belongs to injecting drug use.
Table 4
Distribution of cases according to WHO grading
|
Who Grading |
No. of cases |
Percentage |
|
1 |
6 |
1.2 |
|
2 |
95 |
19.0 |
|
3 |
277 |
55.4 |
|
4 |
122 |
24.4 |
|
Total |
500 |
100.0 |
According to WHO Grading, out of 500 cases, majority were belongs to Grade 3, accounting for 277 (55.4%) of the cases.
Table 5
Occupation wise distribution of cases
We observed that occupation wise distribution of cases maximum cases belongs to agricultural labourer accounting for 31.4% of the cases,
Table 6
Distribution of Fungal opportunistic infections among cases with mean CD4 count
In our study we noted 65(13%) cases of fungal infections with majority of cases with oral candidiasis.
There was a statistically significant association between age, risk factor and WHO Grading and CD 4 count and “P” value less than 0.05. There was no statistically significant association between gender, occupation and CD 4 count.
Figure 2
KOH mount – Candida. Inset shows gram stain candida.(Left), SDA slope showing candida growth(Right).
Figure 3
Gram stain showing yeast cells. (Left), Indian ink preparation showing unstained halo (Right).
Discussion
In the present study the clinical profile of various fungal opportunistic infections among HIV seropositive patients admitted were analyzed.
Maximum numbers of HIV positive individuals (37.8%) were in the age group of 31-40 years. Several study groups both in India and abroad have reported 48.2% to 92% HIV seropositive individuals in this age group. Our findings are in accordance with Vajpayee et al.
Table 7
|
Authors |
Age group (%) |
|
Vajpayee et al 2003 8 |
48.2% |
|
A. Singh et al 2003 9 |
92% |
|
A. Wadhwa et al 2007 12 |
82% |
|
Saldanha et al 2008 13 |
74.8% |
|
Present study |
43.8% |
Male: female ratio in the present study was 1.2:1. Our findings are in consistent with Vickers et al study showed 1.4:1. While the males belonged to a wide age spectrum, the females were a considerably younger population, and most of them acquired infection from their spouses, reflecting the male dominance in Indian society and emphasizing an increased need for awareness and counseling of both spouse.
Table 8
CD4 Count <200 mm3 compared with other studies.
|
Authors |
CD4 count (%) |
|
Sharma et al 2004 14 |
82.5% |
|
A. Wadhwa et al 2012 12 |
60% |
|
Anantha A. et al 2012 15 |
46.2% |
|
Ghate et al 2009 11 |
69.6% |
|
Michael O. Iroezindu et al 2013 16 |
95% |
|
present study |
64% |
Table 9
Comparison of Fungal isolates in other studies
|
Authors |
Candida |
Cryptococcus |
Aspergillus |
Pencilium |
Pneumocystic jeroveci |
|
Ghate et al 2000 11 |
11.6% |
- |
- |
- |
7% |
|
Sing et al 2003 9 |
59% |
47% |
- |
- |
6% |
|
Kumarsamy et al 2005 17 |
70% |
- |
- |
- |
- |
|
Chakravarthy et al 2006 10 |
20.3% |
1.4% |
- |
- |
- |
|
Saldnaha et al 2008 13 |
34.5% |
- |
- |
- |
- |
|
Ghate et al 2009 11 |
11.3% |
1.7% |
- |
- |
- |
|
Madkar et al 2012 16 |
37.6% |
- |
- |
- |
- |
|
Pradeep et al 2013 18 |
22% |
- |
- |
- |
- |
|
Present study |
11.2% |
0.4% |
0.3% |
0.3% |
- |
Our findings are consistent with Ghate et al study. 11 The lower CD4 counts in present study may be due to a diagnostic bias from later detection of the disease reflecting a paucity of extensive diagnostic facilities at the peripheral health care centers, so that the diagnosis remains uncertain or is not established until late stages, when significant immunosuppression has already set in and patients are referred to tertiary health care centers. 1, 13
The findings of low CD4 counts at admission to the hospital demonstrate that a high level of immunodeficiency was already present, defining advanced AIDS.
Epidemiological features depend upon social and cultural practices of the people which may again vary from region to region.
Our findings are in accordance with Ghate et al 11 study. Oral candidiasis was the commonest mucocutaneous opportunistic infection observed in our study. The number of T-helper cell usually fall over the course of HIV infection. Serious fungal infections tend to occur, when T-helper cell count has dropped to around 100 mm3.
Cryptococcal meningitis is the most common type of meningitis reported in important neurological studies in India. Cryptococcal meningitis, an AIDS – defining illness, usually appears when CD4 counts are below 100/mm3 and is associated with an increased risk of death.
Four of the HIV seropositive patients were co-infected with pneumocystis carinii pneumonia (PCP) in the present study. It is now established that PCP is one of the common opportunistic infections in HIV but the cases are relatively less documented, may be due to the lack of routine testing facility. PCP is rarely documented in India
Our study correlates with Ghate et al 11 and Vajapyee et al 8 with CD4 count <100.
Four percent of the HIV seropositive patient had polymicrobial infections, which included oral candidiasis plus pulmonary tuberculosis in 2% and PCP plus cryptosporidial infestation in 2%.
About one percent of HIV seropositive cases of present study were co-infected with Hepatitis B virus. All the co-infected patients were under gone blood transfusion previously.
Conclusions
HIV/AIDS is the burning crisis worldwide. Early diagnosis of opportunistic infections and prompt treatment improves the quality of life, increases the life expectancy among infected patients and delays progression to AIDS. Timely initiation and continuous intake of ART will not only prolong the survival but will also decrease the viral load a transmission of the disease.
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