Immunologic response to antiretroviral therapy by age among treatment-naive patients in Sub-Saharan Africa

Factors associated with CD4 + cell count recovery among males and females with advanced HIV disease

OBJECTIVE

HIV/AIDS mortality remains significantly high in sub-Saharan Africa, mostly driven by opportunistic infections and advanced HIV disease (AHD). This study aimed to assess CD4 + cell count recovery following ART initiation and factors associated with immune reconstitution.

METHODS

We conducted a prospective cohort study between 2015 and 2016. HIV-infected adults (≥18 years) with AHD (CD4 + cell count ≤100 cells/μl) receiving care at 20 outpatient HIV treatment facilities in Harare, Zimbabwe were enrolled. CD4 + cell count recovery (CD4 + cell count >200 cells/μl) was assessed following 12-month ART initiation and factors associated with immune reconstitution were investigated using logistic regression analysis. All statistical analyses were performed on Statistical Package for the Social Sciences (SPSS) version 23.

RESULTS

1320 participants were enrolled and 56.4% were males. The median (interquartile range, IQR) age was 37 (32-43) years. Tuberculosis was seen in 16.0%. Of the 739 participants that had CD4 + cell count at 12 months, CD4 + cell count recovery above 200 cells/μl was observed in 163 (22.1%) participants. Median (IQR) CD4 + cell count at 12-months increased to 127 (75-190) cells/μl from 31 (14-55) at baseline. Factors associated with CD4 + cell count recovery were younger age at baseline [odds ratio (OR) ≥40/<40  = 0.58, 95% confidence interval (CI): 0.40-0.85, P  = 0.005), sex (OR female/male  = 2.07, 95% CI: 1.44-2.99, P  < 0.0001) and baseline CD4 + cell count (OR ≥50/<50  = 1.60, 95% CI: 1.10-2.33, P  = 0.013).

CONCLUSION

A significant proportion (77.9%) of patients seeking care with AHD in a resource limited setting failed to recover a CD4 + cell count >200 cells/μl. Male sex, older age and low CD4 + cell count at ART initiation were factors associated with poor immune reconstitution. Better differentiated care deliveries targeting this vulnerable population are critical for improving clinical outcomes and quality of life of the patients.

CD4+ cell count recovery after initiation of antiretroviral therapy in HIV-infected Ethiopian adults

Background

CD4+ cell count recovery after effective antiretroviral therapy (ART) is an important determinant of both AIDS and non-AIDS morbidity and mortality. Data on CD4+ cell count recovery after initiation of ART are still limited in Sub-Saharan Africa. The aim of this study was to assess CD4+ cell count recovery among HIV-infected adults initiating ART in an Ethiopian setting.

Methods

A retrospective cohort study of HIV-infected adults initiating ART between September 2008 and June 2019 was carried out. CD4+ cell count recovery was defined as an increase in CD4+ cell count of >100 cells/mm³ from baseline or achievement of a CD4+ cell count >500 cells/mm³ at 12 months after ART initiation. Factors associated with CD4+ cell count recovery were evaluated using logistic regression analysis.

Results

Of the 566 patients included in this study, the median baseline CD4+ cell count was 264 cells/mm³ (IQR: 192–500). At 12 months after ART initiation, the median CD4+ cell count increased to 472 cells/mm³, and the proportion of patients with CD4+ cell count < 200 cells/mm³ declined from 28.3 to 15.0%. A total of 58.0% of patients had an increase in CD4+ cell count of >100 cells/mm³ from baseline and 48.6% achieved a CD4+ cell count >500 cells/mm³ at 12 months. Among patients with CD4+ cell counts < 200, 200–350 and >350 cells/mm³ at baseline, respectively, 30%, 43.9% and 61.7% achieved a CD4+ cell count >500 cells/mm³ at 12 months. In multivariable analysis, poor CD4+ cell count recovery (an increase of ≤100 cells/mm³ from baseline) was associated with older age, male sex, higher baseline CD4+ cell count and zidovudine-containing initial regimen. Factors associated with poor CD4+ cell count recovery to reach the level >500 cells/mm³ included older age, male sex and lower baseline CD4+ cell count.

Conclusions

CD4+ cell count failed to recover in a substantial proportion of adults initiating ART in this resource-limited setting. Older age, male sex and baseline CD4+ cell count are the dominant factors for poor CD4+ cell count recovery. Novel therapeutic approaches are needed focusing on high risk patients to maximize CD4+ cell count recovery and improve outcomes during therapy.

Immunological and Virological Responses in Older HIV-Infected Adults Receiving Antiretroviral Therapy: An Evidence-Based Meta-Analysis

BACKGROUND

Millions of people living with the HIV have received antiretroviral therapy (ART). Older adults make up a significant portion of these individuals; however, the immunological and virological responses to ART for older patients still need to be clarified.

DESIGN

Meta-analysis.

METHODS

In this article, we systematically reviewed research articles published between 2001 and 2018 that reported immunological and virological responses and AIDS-related mortality among HIV- infected adults (including individuals aged 50 years and older) receiving ART, using meta-analysis. ART efficiency was measured using 3 outcomes: (1) immunological response, (2) virological response, and (3) mortality.

RESULTS

We identified 4937 citations, and 40 studies were eventually selected to investigate ART efficiency in older HIV-infected patients, comprising more than 888,151 patients initiating ART. We report that older patients showed poor immunological responses, with CD4 counts and the restoration of CD4 counts after ART initiation being significantly lower than seen in younger patients. However, older patients exhibited better viral suppression rates (risk ratio: 1.04; 95% confidence intervals: 1.01 to 1.08) after 36 months following ART initiation. In addition, older adults had a higher risk of AIDS-related death (adjusted hazard ratio: 1.44, 95% confidence interval: 1.30 to 1.60).

CONCLUSIONS

Older age after ART initiation was associated with a poorer immunological response and a higher risk of mortality, suggesting the need to increase early diagnosis and treatment among older HIV patients.

The impact of socioeconomic factors on the healthcare costs of people living with HIV in Turkey

Background

This study addresses an important field within HIV research, the impact of socioeconomic factors on the healthcare costs of people living with HIV/AIDS (PLHIV). We aimed to understand how different socioeconomic factors could create diverse healthcare costs for PLHIV in Turkey.

Methods

Data were collected between January 2017 and December 2017. HIV-positive people attending the clinic who had been referred to the national ART programme from January 1992 until December 2017 were surveyed. The questionnaire collected socioeconomic data. The cost data for the same patients was taken from the electronic database Probel Hospital Information Management System (PHIMS) for the same period. The PHIMS data include costs for medication (highly active antiretroviral therapy or HAART), laboratory, pathology, radiology, polyclinic, examination and consultation, hospitalisation, surgery and intervention, blood and blood products, supplies and other costs. Data were analysed using STATA 14.2 to estimate the generalised linear model (GLM).

Results

The findings of our GLM indicate that age, gender, marital and parental status, time since diagnosis, employment, wealth status, illicit drug use and CD4 cell count are the factors significantly related to the healthcare cost of patients. We found that compared with people who have AIDS (CD4 cells < 200 cells/mm³), people who have a normal range of CD4 cells (≥ 500 cells/mm³) have $1046 less in expenditures on average. Compared to younger people (19–39 years), older people (≥ 55) have $1934 higher expenditures on average. Costs are $644 higher on average for married people and $401 higher on average for people who have children. Healthcare costs are $518 and $651 higher on average for patients who are addicted to drugs and who use psychiatric drug(s), respectively. Compared to people who were recently diagnosed with HIV, people who were diagnosed ≥10 years ago have $743 lower expenditures on average.

Conclusion

Our results suggest that in addition to immunological status, socioeconomic factors play a substantial role in the healthcare costs of PLHIV. The key factors influencing the healthcare costs of PLHIV are also critical for public policy makers, healthcare workers, health ministries and employment community programs.