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Original Research Open Access
Volume 6 | Issue 1 | DOI: https://doi.org/10.33696/AIDS.6.054

Immunological and Virological Characteristics of People Living with Human Immunodeficiency Virus on Antiretroviral Therapy in Bobo-Dioulasso Hospital, Burkina Faso

  • 1Service de bactériologie virologie, Département des laboratoires, Centre Hospitalier Universitaire Souro Sanou, Bobo-Dioulasso, Burkina Faso
  • 2Programme de Recherche sur les maladies infectieuses, Centre Muraz, Institut National de Santé Publique, Bobo-Dioulasso, Burkina Faso
  • 3Institut Supérieur des Sciences de la Santé, Université Nazi Boni, Bobo-Dioulasso, Burkina Faso
  • 4Service de maladies infectieuses, Département de médecine, Centre hospitalier Universitaire Souro Sanou, Bobo-Dioulasso, Burkina Faso
  • 5Institut de Recherche en Sciences de la Santé, Centre National de la Recherche Scientifique et Technologique, Ouagadougou, Burkina Faso
  • #These authors have contributed equally to the work
+ Affiliations - Affiliations

*Corresponding Author

Abdoul-Salam Ouedraogo, abdousal2000@yahoo.fr

Received Date: September 27, 2024

Accepted Date: November 11, 2024

Abstract

Background: Human immunodeficiency virus infection remains a public health challenge, mostly in sub-Saharan Africa. This region accounts for 65% of those infected and contributes to 50% of new infections. The World Health Organization advocates for early antiretroviral therapy (ART) initiation for all newly diagnosed individuals. If monitoring viral load (VL) after ART initiation is increasingly common, baseline VL testing is under-utilized in resource-limited settings. However, it is known that the baseline HIV viral load significantly influences the likelihood of achieving virological suppression in individuals starting antiretroviral therapy. The aim of this study was to investigate the immunological and virological profile of people living with HIV (PLWHIV) and associated factors at the initiation of ART.

Methods: We performed a retrospective analysis of data from an open cohort of PLWHIV followed at the Souro SANOU University Hospital adult day hospital who initiated antiretroviral therapy between January 2011 to October 2017. The analysis included patients who had a baseline HIV-1 viral load before ART initiation.

Results: There were 295 PLWHIV included, 67.1% of whom were female, and the median age was 39 years. The median viral load was 252,385 (IQR: 56,023-847,910) copies/mL and the median CD4 T cell count was 177 cells/μL (IQR:70–296). PLWHIV with baseline HIV-1 RNA >100,000 copies/mL and CD4+ count <200 cells/µL were respectively 66.8% and 57.9%. In logistic regression multivariate analysis, WHO clinical stage 3 (Adjusted Odds Ratio (AOR): 2.3 (95%CI 1.25–4.35)), stage 4 (AOR: 4.5 (95%CI 1.45–13.87)), viral load between 100,000–1,000,000 (AOR: 4.2 (95%CI 1.66–10.66)), and above 1,000,000 (AOR: 5.3 (95%CI 1.90–14.76)) were associated with immunosuppression. Regarding viremia, clinical suspicion as a circumstance for HIV diagnosis (AOR: 2.4 (95%CI 1.16–5.19)), WHO clinical stage 4 (AOR: 3.3 (95%CI 1.11–9.61)) were associated with a viremia above 1,000,000 copies/mL.

Conclusions: Regular monitoring of follow-up data would enable us to understand the factors associated with late presentation to HIV/AIDS services and to design effective treatment programs and strategies to meet UNAIDS targets.

Keywords

HIV, Immunological, Virological, Late presentation, Burkina  Faso

Introduction

Human Immunodeficiency Virus (HIV) infection remains a public health challenge, mostly in sub-Saharan African countries. The global estimates of HIV for adults and children in 2023 reported 39.9 million people living with HIV (PLWH) with 1.3 million new HIV infections [1]. To control the pandemic, the World Health Organization (WHO) has implemented strategies with a triple target called “95:95:95” since 2014. The global target aims to ensure that by 2025, 95% of people living with HIV (PLWHIV) know their HIV status, 95% of people who know their status are receiving treatment and 95% of people with HIV treatment have a suppressed viral load so their immune system remains strong, and the likelihood of their infection being passed on is greatly reduced [2]. Antiretroviral therapy (ART) is recognized as the most effective method to prevent new HIV infections and reduce AIDS-related mortality [3-5]. The World Health Organization advocates for early ART initiation for all newly diagnosed individuals. The effects of early treatment in terms of better restoration of immune competence, reduction of morbidity and mortality, decrease in the viral reservoir size, and reduction in transmission of the virus to sexual partners have been described [5-7]. Then, the WHO criteria of CD4 count, viral load level, or clinical stage for treatment initiation were dropped [8]. To achieve the second objective, the “treat all” approach has been recommended since 2016 by the WHO guidelines [9].

In Burkina Faso, HIV remains a major health concern with 95,000 PLWHIV and 1,900 Adults and children newly infected with HIV in 2023. Country data on UNAIDS targets are 83% for the first 95, 77% for the second 95, and 71% for the third 95 [1]. If the test and treat strategy is implemented, the later screening and late linking to care do not allow the expected effects of the test and treatment in terms of individual health and prevention of virus transmission with the concept of treatment as prevention. If the focus is on achieving the third objective with an assessment of the viral load (VL) at six months and one year after starting the ART, the baseline VL testing and CD4 T-cell count are under-utilized in resource-limited settings due to costs and availability [10,11].

Research indicates that lower baseline CD4 counts are associated with poorer virological suppression and higher rates of virological failure, underscoring the importance of early intervention. Álvarez et al. reported that PLWHIV with baseline CD4 counts ≤ 200 cells/µL showed a markedly lower rate of virological suppression at 48 weeks, higher rates of viral blips, and low-level viremia. The risk of virological failure was significantly elevated (3.12 times higher) in this group [12]. Conversely, Fatti et al. showed that PLWHIV with baseline CD4 counts ≥ 500 cells/µL experienced excellent virological outcomes, with virological suppression rates exceeding 94% over 30 months [13]. The incidence of virological failure is substantially lower in this group, indicating a strong protective effect of higher baseline CD4 counts [13]. Concerning VL, studies reported that the baseline HIV VL significantly influences the likelihood of achieving virological suppression in individuals starting ART impacting both the rate and time to virological success [13-16]. The higher pre-therapy VLs are associated with lower rates of virological success. Individuals with baseline VLs ≥100,000 copies/mL have a markedly lower chance of achieving virological suppression compared to those with lower VLs [16]. For instance, only 74% of patients with VLs >1,000,000 copies/mL achieved suppression within the first year, compared to over 95% for those with VLs <100,000 copies/mL [15]. A cross-over study found that patients with pre-ART VLs >500,000 copies/mL had a significantly higher risk of virological rebound after initial suppression [14].

The systematic performance of this baseline check-up would make it possible to estimate the stage of the infection at the time of screening or ART initiation and to plan a personalized follow-up. Based on CD4 T cell count, these data could also be used to notify late presentation in care and alert policymakers to strengthen HIV testing awareness campaigns. Knowing that the baseline virologic and immunologic parameters significantly correlate with virological outcomes in individuals living with HIV who initiate ART [17,18], this study intends to describe the immunological and virological profile of PLWHIV and associated factors at the initiation of antiretroviral therapy in Souro Sanou University Hospital adult day hospital.

Methods

Study design and setting

A descriptive and analytical cross-sectional study was performed on data from an open cohort of PLWHIV followed up at the Souro Sanou University Hospital adult day hospital in Bobo-Dioulasso, Burkina Faso. The University Hospital is a reference place for the follow-up of PLWHIV [19,20]. This study reviewed data collected between January 2011 to October 2017.

Participants

Participants in the study were HIV-positive patients 17 years of age and older, who are being followed for the management of their HIV infection. The eligibility criteria for inclusion in the analysis were being newly initiated on treatment during the study period and having VL measurement prior to ART initiation.

Data sources/ measurement

In Routine follow-up, patients' socio-demographic, clinical, therapeutic, and biological monitoring data were recorded with Evaluation and Operational Monitoring of ESTHER Programs (EOMEP) software that was regularly filled in by the healthcare team during the follow-up appointments. The data collected were de-identified, and unique follow up identification numbers were used instead of patient’s names, and patient’s records were handled with strict confidentiality.

Antiretroviral therapy

Antiretroviral therapy was initiated and monitored according to national guidelines adapted from the WHO recommendations for each period. The first-line triple drug combination treatment included two nucleoside/nucleotide reverse transcriptase inhibitors (NRTIs) and a non-nucleoside reverse transcriptase inhibitor (NNRTIs). The available NRTIs molecules (Zidovudine, Lamivudine, Stavudine, Abacavir, Tenofovir Dixoproxil Fumarate, and Emtricitabine) and NRTIs (Nevirapine and Efavirenz) were used for ART initiation.

Ethics approval and consent to participate

This study was approved by the Institutional Review Board of the Souro Sanou University Hospital adult day-hospital. Patient records/data were anonymized and de-identified prior to exporting and analysis using an encoding process (6-digit number without specifying the date of birth).

Data analysis

The Exported data were analyzed using the EPI Info 7 software. Standard statistical methods were used to describe the sociodemographic, clinic and biological characteristics. The quantitative variables were presented as median with interquartile range (IQR), and the qualitative variables as frequency and percentages (%). The Chi square test, if applicable or Fisher test was used for the comparison of proportions and the Mann Whitney test for quantitative variables comparison. The study used a logistic regression model to assess the associations of these characteristics with high viremia (VL ≥ 1,000,000 copies/mL) and immunodepression (CD4 T cell count < 200 cell/mL). All independent variables associated with high viremia and immunodepression at a significant level (p-value) of 20% in bivariate analysis have been included in the complete multivariate model. We used a backward elimination strategy withdrawing variables with the highest p-value to eventually retain in the final model, covariates with a p-value lower than 5%.

Results

Participants sociodemographic and clinical characteristics at ART initiation

Over all, 295 PLWHIV were initiated on antiretroviral therapy during the study period. The median age was 39 (IQR 33–45) years, 67.1% (198/295) were female, 63.7% (188/295) were living currently married/cohabitating, and 54.6% (161/295) had no education. The women were younger (p<0.0001), less educated (p<0.0001), and single (p=0.0058) (Table 1). Out of the participants (295), 73.1% reported having a sexual partner, and 45.6% of those reported informing their partner of their HIV status. There was no significant difference between men and women in having a sexual partner (p= 0.7965) and informing them of their HIV status (p=0.3184). However, the sexual partner's HIV status was unknown by 68.6% of the participants who had a sexual partner and was positive for 21.6%. 65.8% knew their HIV status after clinical suspicion and 6.4% during the prenatal checkup. Patients at stages 2 and 3 of the WHO clinical staging of HIV disease in adults, adolescents, and children were in the majority with 23.1% and 42.7% respectively (Table 1). The combined therapy including Tenofovir/Emtricitabine/Efavirenz was the most widely used for treatment initiation in patients (Table 2).

Table 1: Participants clinical and sociodemographic characteristics at antiretroviral therapy initiation stratified by sex.

Characteristics

All participants
n (%)

Male (n=97)
n (%)

Female (n=198)
n (%)

P

Age (years): median (IQRa

39 (33-45)               

46 (44-51)               

36 (31-39)               

<0.0001

<24         

17 (5.8)   

1 (1.0))    

16 (8.1)

 

25-44

193 (65.4)

25 (25.8)

168 (84.8)

 

≥ 45

85 (28.8)

71 (73.2)

14 (7.1)

 

Diagnostic circumstance

Clinical suspicion

194 (65.8)

90 (92.8)

104 (58.1)

<0.0001

Voluntary screening

82 (27.8)

7 (7.2)

75 (41.9)

Pregnancy (PMCTHb))

19 (6.4)

 

 

Marital status

Currently married/cohabitating

188 (63.7)

66 (68.0)

122 (61.6)

0.0058

Never married

42 (14.2)

5 (5.2)

37 (18.7)

Separated/Divorced/Widowed

65 (22.0)

26 (26.8)

39 (19.7)

School

Uneducated

161 (54.6)

7 (7.2)

154 (77.8)

< 0.0001

1-5 (Primary)

73 (24.7)

47 (48.5)

26 (13.1)

7-13 (Secondary)

61 (20.7)

43 (44.3)

18 (9.1)

WHOc clinical stage

Stage 1

75 (25.4)

22 (22.7)

53 (26.8)

0.7905

Stage 2

68 (23.1)

21 (21.6)

47 (23.7)

Stage 3

126 (42.7)

45 (46.4)

81 (40.9)

Stage 4

26 (8.8)

9 (9.3)

17 (8.6)

Having a sexual partner (n=279)

Yes

204 (73.1)

62 (72.1)

142 (73.6)

0.7965

No

75 (26.9)

24 (27.9)

51 (26.4)

Partner aware of HIV status

Yes

93 (45.6)

25 (40.3)

68 (47.9)

0.3184

No

111 (54.4)

37 (59.7)

74 (52.1)

Sexual partner HIV status

Positive

44 (21.6)

14 (22.6)

30 (21.1)

0.9734

Negative

20 (9.8)

6 (9.7)

14 (9.9)

Unknown

140 (68.6)

42 (67.7)

98 (69.0)

a IQR: Interquartile Range; b PMCTH: Prevention of Mother-to-Child Transmission of HIV; c WHO: World Health Organization

 

Table 2: Antiretroviral drugs used to initiate treatment stratified by sex.

Characteristics

All participants
n (%)

Male (n=97)
n (%)

Female (n=198)
n (%)

P

NRTIsa 1

 

 

 

 

Abacavir

5 (1.7)

1 (1.0)

4 (2.0)

0.6842

Tenofovir

251 (85.1)

85 (87.6)

166 (83.8)

Zidovudine

39 (13.2)

11 (11.3)

28 (14.1)

NRTIs 2

Emtricitabine

245 (83.1)

83 (85.6)

162 (81.8)

0.4201

Lamivudine

50 (16.9)

14 (14.4)

36 (18.2)

NNRTIsb

Efavirenz

259 (88.7)

88 (91.7)

171 (87.2)

0.2622

Nevirapine

33 (11.3)

8 (8.3)

25 (12.8)

Protease inhibitors

Lopinavir

9 (3.1)

3 (3.1)

6 (3.0)

0.9766

aNRTIs: Nucleoside Reverse Transcriptase Inhibitors; b NNRTIs: Non-Nucleoside Reverse Transcriptase Inhibitors.

 

Participant's immune and virological characteristics at ART enrolment in care

Viremia was detected in all participants, and the median viral load was 252,385 (IQR 56,023–847,910) copies/mL. Only 8.8% had a suppressed viral load (less than 1,000 copies/mL) before treatment and 22.37% had a viral load greater than 1,000,000 copies/mL. The viral load was significantly higher in men than in women (p= 0.0032) (Table 3).

Table 3: Participants virological and immunological characteristics at antiretroviral therapy initiation.

Characteristics

All participants

n (%)

Male

n (%)

Female

n (%)

P-value

Initial Viral load (copies/mL)

Median (IQRa)

252,385

(56,023-847,910)

357,970

(92,220-1,150,000)

180,521

(42,155-685,968)

0.0032

<10,000

26 (8.8)

2 (2.1)

24 (12.1)

0.0165

10,000-100,000

72 (24.4)

23 (23.7)

49 (24.7)

100,000-1,000,000

131 (44.4)

44 (45.4)

87 (43.9)

≥ 1,000,000

66 (22.4)

28 (28.9)

38 (19.2)

 

CD4 T cells count (cells/µL)

Median (IQR)

177 (70-296)

158 (74-275)

186 (70-305)

0.3016

 < 200

169 (57.9)

60 (61.9)

109 (55.1)

0.4324

200 - 349

76 (25.8)

25 (25.8)

51 (25.8)

350-500

41 (13.9)

9 (9.3)

32 (16.2)

> 500

9 (3.1)

3 (3.1)

6 (3.0)

IQR: Interquartile Range


The median CD4 T cell count was 177 cells/μL (IQR: 70–296). Regarding the CD4 class range, 57.9% were in immunodepression with a CD4 T cell count less than 200 cells/μL and 39.7%. No difference was observed between men and women in terms of CD4 counts (Table 3).

Factors associated with immunodepression and high viremia at ART initiation

In multivariate analysis, after adjustment for school level, WHO clinical stages 3 (Adjusted OR 150 (AOR) (95%CI) 2.3 (1.25–4.35)) and 4 (AOR (95%CI) 4.5 (1.45–13.87)), viral load between 100,000 – 1,000,000 (AOR (95%CI) 4.2 (1.66–10.66)) and above 1,000,000 (AOR (95%CI) 5.3 (1.90–14.76)) were significantly associated with immunosuppression (Table 4).

Table 4: Factors associated with immunodepression at antiretroviral therapy initiation.

Characteristics

CD4 <200 cells

 n (%)

Odds ratio (95%CIb)

P

Adjusted ORa (95%CI)

P

Age (years)

 

 

0.6705

 

 

< 24

11 (6.5)

1

 

 

 

25-44

110 (65.1)

0.7 (0.26-2.03)

 

 

 

≥ 45

48 (28.4)

0.7 (0.24-2.09)

 

 

 

Sex

 

 

0.2675

 

 

Female

109 (64.5)

1

 

 

 

Male

60 (35.5)

1.3 (0.81-2.17)

 

 

 

Diagnostic circumstance

 

 

0.8136

 

 

Voluntary screening

43 (25.4)

1

 

 

 

Clinical suspicion

118 (69.8)

1.4 (0.84-2.37)

 

 

 

During pregnancy (TME)

8 (4.7)

0.7 (0.24-1.81)

 

 

 

Marital status

 

 

0.7193

 

 

Never married

23 (13.6)

1

 

 

 

Currently married/cohabitating

108 (63.9)

1.1 (0.57-2.19)

 

 

 

Separated/Divorced/Widowed

38 (22.5)

1.2 (0.53-2.54)

 

 

 

School

 

 

0.0853

 

0.3189

Uneducated

98 (58.0)

1

 

1

 

1-6 (Primary)

42 (24.8)

0.9 (0.50-1.53

 

0.8 (0.43-1.47)

0.4707

7-13 (Secondary)

29 (17.2)

0.6 (0.32-1.05)

 

0.7 (0.39-1.42)

0.3654

WHO clinical stage

 

 

<0.0001

 

0.0011

Stage 1

31 (18.3)

1

 

1

 

Stage 2

35 (20.7)

1.5 (0.78-2.92)

 

1.6 (0.77-3.20)

0.2117

Stage 3

82 (48.5)

2.6 (1.45-4.76)

 

2.3 (1.25-4.35)

0.0075

Stage 4

21 (12.4)

5.9 (2.03-17.52)

 

4.5 (1.45-13.87)

0.0092

Viral load

 

 

< 0.0001

 

<0.0001

< 10,000

8 (4.7)

1

 

1

 

10,000-100,000

24 (14.2)

1.1 (0.43-2.96

 

1.1 (0.41-2.92)

0.8749

100,000-1,000,000

88 (52.1)

4.6 (1.86-11.43)

 

4.2 (1.66-10.66)

0.0024

 ≥ 1,000,000

49 (29.0)

6.5 (2.38-17.61)

 

5.3 (1.90-14.76)

0.0014

aOR: Odds Ratio; bCI : Confidence Interval

 

For high viremia, in multivariate analysis, after adjustment for sex, clinical suspicion as a circumstance for HIV testing (AOR (95%CI) 2.4 (1.16–5.19)), WHO clinical stage 4 (AOR (95%CI) 3.3 (1.11–9.61)), and a CD4 count between 200 and 500 (AOR (95%CI) 0.5 (0.24– 0.88)) were significantly associated with high viremia (Table 5).

Table 5: Factors associated with high viremia at antiretroviral therapy initiation.

Characteristics

Viral load ≥ 1,000,000

n (%)

Odds Ratio (95%CIb)

P

Adjusted ORa

(95%CI)

P

Age

 

 

0.1363

 

0.6978

< 24

1 (1.5)

1

 

1

 

25-44

43 (65.2)

4.6 (0.59-35.58)

 

3.7 (0.47-29.69)

0.2101

≥ 45

22 (33.3)

5.6 (0.70-44.62)

 

3.1 (0.34-27.79)

0.3139

Sex

 

 

0.0626

 

0.1897

Female

38 (57.6)

1

 

1

 

Male

28 (42.4)

1.7 (0.97-3.00)

 

1.5 (0.82-2.67)

0.1897

Diagnostic circumstance

 

 

0.0707

 

0.0491

Voluntary screening

10 (15.2)

1

 

1

 

Clinical suspicion

53 (80.3)

2.7 (1.30-5.63

 

2.4 (1.16-5.19)

0.0191

Pregnancy (TME)

3 (4.6)

1.3 (0.33-5.47)

 

1.8 (0.42-7.450)

0.4344

Marital status

 

 

0.3679

 

 

Never married

3 (4.5)

1

 

 

 

Currently married/cohabitating

51 (77.3)

4.8 (1.43-16.33)

 

 

 

Separated/Divorced/Widowed

12 (18.2)

2.9 (0.78-11.13)

 

 

 

School

 

 

0.4447

 

 

Uneducated

31 (47.0)

1

 

 

 

1-6 (Primary)

22 (33.3)

1.8 (0.96-3.41)

 

 

 

7-13 (Secondary)

13 (19.7)

1.1 (0.55-2.35)

 

 

 

WHO clinical stage

 

 

0.0063

 

0.0262

Stage 1

10 (15.1)

1

 

1

 

Stage 2

15 (22.7)

1.8 (0.76-4.43)

 

1.6 (0.64-3.89)

0.3268

Stage 3

30 (45.5)

2.0 (0.93-4.44)

 

1.6 (0.74-3.72)

0.2237

Stage 4

11 (16.7)

4.8 (1.71-13.27)

 

3.3 (1.11-9.61)

0.0314

CD4 T cells count

 

 

0.0027

 

0.0095

 < 200

49 (74.2)

1

 

1

 

200 - 500

16 (24.2)

0.4 (0.21-0.72)

 

0.5 (0.24-0.88)

0.0195

>500

1 (1.5)

0.3 (0.04-2.51)

 

0.3 (0.03-2.50)

0.2569

aOR: Odds Ratio; bCI: Confidence Interval

 

Discussion

Our study, which included 295 people who initiated ART in Souro Sanou University Hospital Center adult day hospital, shows that PLWHIV were mostly women, live in couples, and few have shared their HIV serology with their sexual partners. Moreover, most of the patients were in an immunosuppressed state with high viremia at ART initiation. This study has certain limitations. The reason for the delay in linking to care or initiation of treatment may be that the day hospital is only a follow-up center for PLWHIV and not a testing center. Patients diagnosed at other screening centers are referred to this department for follow-up and management. Offering a package of screening and care could reduce the delay for some patients. Also, the retrospective design of the study could induce selection and/or information bias in terms of data completeness.

The female face of HIV infection is reported by several authors in sub-Saharan African countries [21-23] as observed in our study. Chas et al. [19] in their analysis of the Souro Sanou University Hospital day-hospital patients from 2002 to 2012 noted that 71.1% of the patients were females. In Nigeria, Umar et al. reported that 68% of PLHIV initiating ART were female [24]. A multi-center, health facility-based cohort of newly diagnosed PLHIV who initiated first-line ART in eastern Ethiopia showed that 70.6% of them were female [25]. Indeed, women account for more than half (65%) of all people with HIV and 65% of new HIV infections among adults (15 years and older) in sub-Saharan Africa [1]. Likewise, adolescent girls and young women are twice as likely to become infected with HIV as their male counterparts [22,26]. The well-known physiological vulnerability of women is exacerbated by other socio-cultural, economic, social, and systemic factors [27-29]. In addition, the prevention of mother-to-child transmission of HIV programs with testing during pregnancy also provides an opportunity to screen women. In our study, it contributed to 19% of linking to HIV care. However, if HIV prevalence may have the face of a woman, studies reported that the men’s heightened risk of AIDS-related death [30-32].

Regarding sharing HIV status, more than half of our patients had not shared their HIV status with their sexual partners at ART initiation. There was no gender difference in sharing information about positive HIV status. Reported disclosure rates can be difficult to compare across studies when researchers use different categories of people to whom individuals disclose [33]. Studies on disclosure to partners reveal even greater variations, ranging from less than 25% in studies from Burkina Faso to over 90% in studies from Ethiopia [33-37]. In addition, disclosure rates are usually based on self-reports, which may not always be reliable. A study carried out in Kenya revealed that a significant percentage (27%) of men who said they had revealed their status to their partner were contradicted by their female partners who said they didn't know their partner's status [38]. In Burkina Faso, despite the provisions of the law requiring the sharing of positive HIV status with sexual partners, this is not observed. HIV disclosure is a critical component of HIV/AIDS prevention of new infection with potential benefits for both the individual by experiencing increased social support and society by reducing HIV transmission risk behaviors [39,40]. However, despite these potential positive outcomes, disclosure also carries important risks. When information is shared with unaccepting individuals, it renders PLWHIV vulnerable to stigmatized reactions such as isolation, criticism, social ostracism, physical harm, divorce, separation or violence from partners, and rejection by friends [33,34,38,41-44].

Concerning treatments, Tenofovir, Emtricitabine, and Efavirenz were the most used for triple therapy. This preponderance is explained by the availability of combining fixed doses of Emtricitabine (200 mg), Tenofovir Disoproxil Fumarate (TDF; 300 mg) with Efavirenz (600 mg) [45,46]. Current treatment guidelines recommend this triple combination for initial therapy because of its excellent potency, tolerability, and favorable safety profile [47]. It represents the first once-daily, one-tablet antiretroviral regimen that offers better adherence and is superior in terms of virologic suppression, CD4 response, and adverse events than Zidovudine, Lamivudine, and Efavirenz [45-47].

Regarding immunovirology parameters, participants had both high viremia and low CD4 T cell counts with 57.9% being in an immunosuppressed stage (CD4 < 200 cells/µL). The International Cohort Consortium of Infectious Diseases data showed that among 4,310 adults aged >18 years who initiated ART from 2014 to 2020, 25.3% had CD4 count ≤ 200 cells [12]. In Ethiopia, Fiseha et al. [48] reported that 28.8% of HIV-infected adults who initiated ART between September 2008 and June 2019 had a CD4 count of ≤ 200 cells. In South Africa, amongst all patients with a baseline CD4 (n = 703 869), 50.3% had counts ≤ 200 cells/mm3 and amongst those starting ART since 2017, 37.2% had a baseline count ≤ 200 cells/mm3 [49]. The high proportion in our study could be explained by the fact that our study is a single center, whereas others have included many patients in different PLWH care centers.

Concerning VL, our study showed that 66.8% started ART with VL above 100,000 copies/mL. This proportion remains higher than in most studies [25,50,51] and could be explained by delays in screening and linkage to care. Most of our patients were screened during the symptomatic phase of the infection and therefore had higher viremia. Higher pre-therapy VL and baseline CD4 counts ≤ 200 cells/µL were associated with lower rates of virological success [12-14,16] indicating that patients with these baseline immunological and virological characteristics may require more intensive management strategies. These data highlight the need to perform an initial biological check-up for personalized follow-up.

Viremia appeared to be higher in males compared to females. Sex differences have been described for diverse aspects of HIV-1 infection and disease progression [52-54]. The biological and genetic factors lead to these differential disease courses and outcomes in men and women. Farzadegan et al. reported that HIV-1 VL in untreated women was up to 40% lower than that in males [53]. These sex-based differences were described to be in part linked to innate immunity, in which the differential ability of plasmacytoid dendritic cells to produce interferon α following stimulation of Toll-like receptor 7 and upregulation of interferon-stimulated genes play a central role [52,54-56].

Overall, the high viremia and low CD4 count reflect the advanced stage of the infection and easily corroborate the clinical suspicion as a mode of diagnosis and the preponderance of WHO clinical stages 3 and 4. Indeed, most of our patients were screened based on clinical suspicion meaning a symptomatic phase of the infection. This form of screening is associated with a late diagnosis of HIV infection and late presentation to care. In Mozambique, Chone et al. reported that the male gender (AOR = 2.41), clinical suspicious test (AOR = 4.03), initiated by the health professional (AOR = 2.1,9), and fear of stigma (AOR = 2.80) were the main risk factors for late presentation to HIV care [57]. In African countries, the prevalence of late presentation for HIV care is high and varies according to the country. It was estimated to be 59.2% in Uganda [58], 60% in South Africa [59], 75.4% in Tanzania [60], 85.6% in Nigeria [61], and 89.7% in Cameroon [62].

With regards to the factors associated with initiating treatment at the stage of immunosuppression is higher viremia and no socio-demographic characteristics were associated. Mukolo et al. reported that male and particularly male heterosexuals, advanced age, and low socioeconomic status are predictors of late presentation to HIV care [63]. The rationale for the case of heterosexual men is that most targeted (aggressive) HIV prevention and testing interventions do not specifically target heterosexual males, making the latter most likely to have fewer opportunities for early HIV diagnosis than men who have sex with men, female sex workers, and women attending antenatal care, who have better access to provider-initiated testing [63]. Considering this discrimination towards heterosexual men would improve their rapid access to HIV testing and care.

Conclusion

This analysis showed that most people who started the antiretroviral therapy at the Souro Sanou University Hospital adult day hospital during the study period were in late presentation or at an advanced stage of HIV infection with high pretherapy VL and low CD4 T cell count. Implementing treatment recommendations for all coupled with screening strategies that target everyone and index testing, would allow individuals and public health to achieve the benefits of early treatment. Regular monitoring of follow-up data would enable us to understand the factors associated with late presentation to HIV/AIDS services and to design effective treatment programs and strategies to meet UNAIDS targets.

Competing Interests

The authors declare no competing interests.

Authors' Contributions

SNPD, WWB, and ASO conceived the study; SNPD collected data; WWB and SNPD analyzed data; WWB drafted the manuscript; YS, AZ, JZ, FNK, KMD, AP, and ASO participated in critical revision of the manuscript drafts. All authors approved the final version of the manuscript.

Acknowledgements

We acknowledge the Ministry of Health and the National Program for AIDS. We thank the organizations of people living with HIV/AIDS.

References

1. UNAIDS. AIDSinfo: Global data on HIV epidemiology and response. Available at: https://aidsinfo.unaids.org/. 2024.

2. ONUSIDA. Accélérer la riposte : mettre fin à l’épidémie de sida d’ici à 2030. https://www.unaids.org/sites/default/files/media_asset/JC2686_WAD2014report_fr.pdf. 2014.

3. Kemnic TR, Gulick PG. HIV antiretroviral therapy. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024 Jan.

4. Vella S, Schwartländer B, Sow SP, Eholie SP, Murphy RL. The history of antiretroviral therapy and of its implementation in resource-limited areas of the world. AIDS. 2012 Jun 19;26(10):1231-41.

5. Cohen MS, Chen YQ, McCauley M, Gamble T, Hosseinipour MC, Kumarasamy N, et al. Prevention of HIV-1 infection with early antiretroviral therapy. N Engl J Med. 2011 Aug 11;365(6):493-505.

6. Granich RM, Gilks CF, Dye C, De Cock KM, Williams BG. Universal voluntary HIV testing with immediate antiretroviral therapy as a strategy for elimination of HIV transmission: a mathematical model. Lancet. 2009 Jan 3;373(9657):48-57.

7. Shelton EM, Reeves DB, Bender Ignacio RA. Initiation of Antiretroviral Therapy during Primary HIV Infection: Effects on the Latent HIV Reservoir, Including on Analytic Treatment Interruptions. AIDS Rev. 2020 Oct 26;23(1):28-39.

8. World Health Organization. Guideline on When to Start Antiretroviral Therapy and on Pre-Exposure Prophylaxis for HIV. Geneva: World Health Organization; 2015 Sep. PMID: 26598776.

9. World Health Organization. Consolidated Guidelines on the Use of Antiretroviral Drugs for Treating and Preventing HIV Infection: Recommendations for a Public Health Approach. 2nd ed. Geneva: World Health Organization; 2016. PMID: 27466667.

10. Calmy A, Ford N, Hirschel B, Reynolds SJ, Lynen L, Goemaere E, et al. HIV viral load monitoring in resource-limited regions: optional or necessary? Clin Infect Dis. 2007 Jan 1;44(1):128-34.

11. World Health Organization. Consolidated Guidelines on HIV Prevention, Diagnosis, Treatment and Care for Key Populations – 2016 Update. Geneva: World Health Organization; 2016. PMID: 27559558.

12. Álvarez H, Mocroft A, Ryom L, Neesgaard B, Edwards S, Svedhem V, et al. Plasma Human Immunodeficiency Virus 1 RNA and CD4+ T-Cell Counts Are Determinants of Virological Nonsuppression Outcomes With Initial Integrase Inhibitor-Based Regimens: A Prospective RESPOND Cohort Study. Clin Infect Dis. 2023 Aug 22;77(4):593-605.

13. Fatti G, Grimwood A, Nachega JB, Nelson JA, LaSorda K, van Zyl G, et al. Better Virological Outcomes Among People Living With Human Immunodeficiency Virus (HIV) Initiating Early Antiretroviral Treatment (CD4 Counts ≥500 Cells/µL) in the HIV Prevention Trials Network 071 (PopART) Trial in South Africa. Clin Infect Dis. 2020 Jan 16;70(3):395-403.

14. Armenia D, Di Carlo D, Cozzi-Lepri A, Calcagno A, Borghi V, Gori C, et al. Very high pre-therapy viral load is a predictor of virological rebound in HIV-1-infected patients starting a modern first-line regimen. Antivir Ther. 2019;24(5):321-31.

15. Sörstedt E, Tetens MM, Nilsson S, Nowak P, Treutiger CJ, Månsson F, et al. Impact of pre-antiretroviral treatment HIV-RNA on time to successful virological suppression and subsequent virological failure - two nationwide, population-based cohort studies. AIDS. 2023 Feb 1;37(2):279-86.

16. Mills AM, Schulman KL, Fusco JS, Wohlfeiler MB, Priest JL, Oglesby A, et al. Virologic Outcomes Among People Living With Human Immunodeficiency Virus With High Pretherapy Viral Load Burden Initiating on Common Core Agents. Open Forum Infect Dis. 2021 Jul 9;8(8):ofab363.

17. Alteri C, Scutari R, Stingone C, Maffongelli G, Brugneti M, Falasca F, et al. Quantification of HIV-DNA and residual viremia in patients starting ART by droplet digital PCR: Their dynamic decay and correlations with immunological parameters and virological success. J Clin Virol. 2019 Aug;117:61-7.

18. Ceccherini-Silberstein F, Cozzi Lepri A, Alteri C, Merlini E, Surdo M, et al. Pre-ART HIV-1 DNA in CD4+ T cells correlates with baseline viro-immunological status and outcome in patients under first-line ART. J Antimicrob Chemother. 2018 Dec 1;73(12):3460-70.

19. Chas J, Hema A, Slama L, Kabore NF, Lescure FX, Fontaine C, et al. The Day-Hospital of the University Hospital, Bobo Dioulasso: An Example of Optimized HIV Management in Southern Burkina Faso. PLoS One. 2015 May 13;10(5):e0125588.

20. Fontaine C, Hema A, Kamboule E, Guiard-Schmid JB, Lescure FX, Slama L, et al. L’hôpital de jour du CHU de Bobo Dioulasso: une structure de référence pour la prise en charge des patients infectés par le VIH au Burkina Faso. Médecine et maladies infectieuses. 2010 Jul 1;40(7):393-7.

21. Essomba NE, Mbatchou Ngahane BH, Nida M, Temfack E, Mapoure Njankouo Y, et al. Profil clinique et immunologique des patients infectés par le VIH à l'initiation du traitement antirétroviral à Douala [Clinical and immunological profile of HIV-infected patients at the initiation of antiretroviral therapy in Douala]. Bull Soc Pathol Exot. 2015 Oct;108(4):255-61.

22. Kharsany AB, Karim QA. HIV Infection and AIDS in Sub-Saharan Africa: Current Status, Challenges and Opportunities. Open AIDS J. 2016 Apr 8;10:34-48.

23. Mouhari-Toure A, Patassi A, Nabroulaba KT, Djadou KE, Edou K, Nyametso D, et al. Profil biologique des patients adultes infectés par le VIH à l'initiation du traitement antirétroviral au Togo [Biological profile of adult patients infected with HIV at initiation of antiretroviral therapy in Togo]. Med Mal Infect. 2011 May;41(5):229-34.

24. Umar A, Oripelaye MM, Olanrewaju FO, Onayemi O, Olasode OA, Oninla OA. Determinants of discordant immune response in a cohort of human immunodeficiency virus-infected patients initiating antiretroviral therapy. Sahel medical journal. 2020 Jan 1;23(1):22-8.

25. Gemechu A, Mihret A, Atire FA, Aseffa A, Howe R, Seyoum B, et al. Virological Non-Suppression among Newly Diagnosed HIV-Positive Individuals on Dolutegravir-Based Antiretroviral Treatment in Eastern Ethiopia: Follow-Up Study. Trop Med Infect Dis. 2023 Jul 30;8(8):391.

26. ONUSIDA. Fiche d'information — Dernières statistiques sur l'état de l'épidémie de sida. https://www.unaids.org/sites/default/files/media_asset/UNAIDS_FactSheet_fr.pdf 2022.

27. Union Africaine. L’Egalite des Genres, l'Autonomisation des Femmes et le VIH en Afrique: L’impact des enjeux croisés et les priorités continentales. Available at: https://au.int/sites/default/files/documents/41625-doc-AU_GEWE_Advocacy_Brief_FRENCH_Final.pdf. 2021.

28. Andersson N, Cockcroft A, Shea B. Gender-based violence and HIV: relevance for HIV prevention in hyperendemic countries of southern Africa. AIDS. 2008 Dec;22 Suppl 4:S73-86.

29. Dunkle KL, Decker MR. Gender-based violence and HIV: reviewing the evidence for links and causal pathways in the general population and high-risk groups. Am J Reprod Immunol. 2013 Feb;69 Suppl 1:20-6.

30. Druyts E, Dybul M, Kanters S, Nachega J, Birungi J, Ford N, et al. Male sex and the risk of mortality among individuals enrolled in antiretroviral therapy programs in Africa: a systematic review and meta-analysis. AIDS. 2013 Jan 28;27(3):417-25.

31. Beckham SW, Beyrer C, Luckow P, Doherty M, Negussie EK, Baral SD. Marked sex differences in all-cause mortality on antiretroviral therapy in low- and middle-income countries: a systematic review and meta-analysis. J Int AIDS Soc. 2016 Nov 8;19(1):21106.

32. Dovel K, Yeatman S, Watkins S, Poulin M. Men's heightened risk of AIDS-related death: the legacy of gendered HIV testing and treatment strategies. AIDS. 2015 Jun 19;29(10):1123-5.

33. Bott S, Obermeyer CM. The social and gender context of HIV disclosure in sub-Saharan Africa: a review of policies and practices. SAHARA J. 2013 Jul;10 Suppl 1(0 1):S5-16.

34. Deribe K, Woldemichael K, Wondafrash M, Haile A, Amberbir A. Disclosure experience and associated factors among HIV positive men and women clinical service users in Southwest Ethiopia. BMC Public Health. 2008 Feb 29;8:81.

35. Akani CI, Erhabor O. Rate, pattern and barriers of HIV serostatus disclosure in a resource-limited setting in the Niger delta of Nigeria. Trop Doct. 2006 Apr;36(2):87-9.

36. Nebié Y, Meda N, Leroy V, Mandelbrot L, Yaro S, Sombié I, et al. Sexual and reproductive life of women informed of their HIV seropositivity: a prospective cohort study in Burkina Faso. J Acquir Immune Defic Syndr. 2001 Dec 1;28(4):367-72.

37. Guiro AK, Traore A, Somda A, Huang SL. Attitudes and practices towards HAART among people living with HIV/AIDS in a resource-limited setting in northern Burkina Faso. Public Health. 2011 Nov;125(11):784-90.

38. Katz DA, Kiarie JN, John-Stewart GC, Richardson BA, John FN, Farquhar C. HIV testing men in the antenatal setting: understanding male non-disclosure. Int J STD AIDS. 2009 Nov;20(11):765-7.

39. Armistead L, Morse E, Forehand R, Morse P, Clark L. African-American women and self-disclosure of HIV infection: Rates, predictors, and relationship to depressive symptomatology. AIDS and Behavior. 1999 Sep;3:195-204.

40. Lam PK, Naar-King S, Wright K. Social support and disclosure as predictors of mental health in HIV-positive youth. AIDS Patient Care STDS. 2007 Jan;21(1):20-9.

41. Ouedraogo TL, Ouedraogo A, Ouedraogo V, Kyelem N, Soubeiga A. Infection à VIH et modifications des relations sociales: étude auprès de 188 personnes infectées par le VIH à Ouagadougou (Burkina Faso) [HIV infection and modification of social relationships: study of 188 HIV-infected persons in Ouagadougou (Burkina Faso)]. Sante. 2005 Oct-Dec;15(4):253-7.

42. Iliyasu Z, Abubakar IS, Babashani M, Galadanci HS. Domestic violence among women living with HIV/AIDS in Kano, Northern Nigeria. Afr J Reprod Health. 2011 Sep;15(3):41-9.

43. Chaudoir SR, Fisher JD, Simoni JM. Understanding HIV disclosure: a review and application of the Disclosure Processes Model. Soc Sci Med. 2011 May;72(10):1618-29.

44. Ogden J, Nyblade L. Common at its core: HIV-related stigma across contexts. 2005.

45. Deeks ED, Perry CM. Efavirenz/emtricitabine/tenofovir disoproxil fumarate single-tablet regimen (Atripla®): a review of its use in the management of HIV infection. Drugs. 2010 Dec 3;70(17):2315-38.

46. Gallant JE, DeJesus E, Arribas JR, Pozniak AL, Gazzard B, Campo RE, et al. N Engl J Med. 2006 Jan 19;354(3):251-60.

47. Goicoechea M, Best B. Efavirenz/emtricitabine/tenofovir disoproxil fumarate fixed-dose combination: first-line therapy for all? Expert Opin Pharmacother. 2007 Feb;8(3):371-82.

48. Fiseha T, Ebrahim H, Ebrahim E, Gebreweld A. CD4+ cell count recovery after initiation of antiretroviral therapy in HIV-infected Ethiopian adults. PLoS One. 2022 Mar 24;17(3):e0265740.

49. Lilian RR, Davies N, Gilbert L, McIntyre JA, Struthers HE, Rees K. CD4 testing after initiation of antiretroviral therapy: Analysis of routine data from the South African HIV programme. South Afr J HIV Med. 2020 Dec 14;21(1):1165.

50. Sarıgül Yıldırım F, Candevir A, Akhan S, Kaya S, Çabalak M, Ersöz G, et al. Comparison of Immunological and Virological Recovery with Rapid, Early, and Late Start of Antiretroviral Treatment in Naive Plwh: Real-World Data. Int J Gen Med. 2023 May 17;16:1867-77.

51. Zhou C, Zhang W, Lu R, Ouyang L, Xing H, Shao Y, et al. Higher Risk of Mortality and Virologic Failure in HIV-Infected Patients With High Viral Load at Antiretroviral Therapy Initiation: An Observational Cohort Study in Chongqing, China. Front Public Health. 2022 Feb 3;10:800839.

52. Addo MM, Altfeld M. Sex-based differences in HIV type 1 pathogenesis. J Infect Dis. 2014 Jul 15;209 Suppl 3(Suppl 3):S86-92.

53. Farzadegan H, Hoover DR, Astemborski J, Lyles CM, Margolick JB, Markham RB, et al. Sex differences in HIV-1 viral load and progression to AIDS. Lancet. 1998 Nov 7;352(9139):1510-4.

54. Ziegler S, Altfeld M. Sex differences in HIV-1-mediated immunopathology. Curr Opin HIV AIDS. 2016 Mar;11(2):209-15.

55. Berghöfer B, Frommer T, Haley G, Fink L, Bein G, Hackstein H. TLR7 ligands induce higher IFN-alpha production in females. J Immunol. 2006 Aug 15;177(4):2088-96.

56. Meier A, Chang JJ, Chan ES, Pollard RB, Sidhu HK, Kulkarni S, et al. Sex differences in the Toll-like receptor-mediated response of plasmacytoid dendritic cells to HIV-1. Nat Med. 2009 Aug;15(8):955-9.

57. Chone JS, Abecasis AB, Varandas L. Determinants of Late HIV Presentation at Ndlavela Health Center in Mozambique. Int J Environ Res Public Health. 2022 Apr 11;19(8):4568.

58. Wanyenze RK, Kamya MR, Fatch R, Mayanja-Kizza H, Baveewo S, Sawires S, et al. Missed opportunities for HIV testing and late-stage diagnosis among HIV-infected patients in Uganda. PLoS One. 2011;6(7):e21794.

59. Sogbanmu OO, Goon DT, Obi LC, Iweriebor BC, Nwodo UN, Ajayi AI, et al. Socio-demographic and clinical determinants of late presentation among patients newly diagnosed with HIV in the Eastern Cape, South Africa. Medicine (Baltimore). 2019 Feb;98(8):e14664.

60. Mhozya H, Bintabara D, Kibusi S, Neilson E, Mpondo BC. Late-stage disease at presentation to an HIV clinic in eastern Tanzania: A retrospective cross-sectional study. Malawi Med J. 2015 Dec;27(4):125-7.

61. Agaba PA, Meloni ST, Sule HM, Agbaji OO, Ekeh PN, Job GC, et al. Patients who present late to HIV care and associated risk factors in Nigeria. HIV Med. 2014 Aug;15(7):396-405.

62. Luma HN, Jua P, Donfack OT, Kamdem F, Ngouadjeu E, Mbatchou HB, et al. Late presentation to HIV/AIDS care at the Douala general hospital, Cameroon: its associated factors, and consequences. BMC Infect Dis. 2018 Jul 3;18(1):298.

63. Mukolo A, Villegas R, Aliyu M, Wallston KA. Predictors of late presentation for HIV diagnosis: a literature review and suggested way forward. AIDS Behav. 2013;17(1):5-30.

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