CD4 cell count trends after commencement of antiretroviral therapy among HIV-infected patients in Tigray, Northern Ethiopia: a retrospective cross-sectional study

Population-Specific Predictors of Immunologic Reconstitution Following Initiation of Combined Antiretroviral Therapy in Children: A Retrospective Observational Study from a 15-Year Cohort of HIV-Positive Children and Adolescents in Eritrea

Background

In the landscape of HIV treatment, combined antiretroviral therapy (cART) is a cornerstone in managing viral loads and boosting CD4+ T-cell counts. Nevertheless, disparities in treatment outcomes remain persistent, and a subset of children fail to achieve adequate immunologic reconstitution (IR). This study aims to investigate the demographic and clinical factors associated with inadequate IR in HIV-infected children in Eritrea.

Methodology

A retrospective observational study was conducted on 822 children followed at Orotta National Pediatric Referral Hospital between 2005 and 2020. Two distinct analyses were performed, with univariate and multivariate logistic regression models employed to investigate risk factors contributing to inadequate immunologic reconstitution (IR) at the study endpoints of 6- and 12-months post-cART initiation.

Results

From the initial cohort of 822 patients [53.4% were males, cohort median age at cART initiation was 78 (IQR: 48-101) months and median absolute CD4 count 270 (151-441) cells/µL]. Two separate analyses were conducted on two cohort subsets with complete data, including 456 children at the 6-month mark and 495 children at 12 months of follow-up. Following 6 months on cART, Immunologic reconstitution was achieved in 87.8% (95% CI: 84.3-91.2) and increased to 90.4% (95% CI: 87.3-93.5) after 12 months of treatment. Independent predictors of inadequate IR after 6 months of cART were higher baseline absolute CD4 counts (aOR = 1.003, (95% CI: 1.002-1.005); p-value <0.001) and NNRTI (EFV: aOR = 3.9, (95% CI: 1.3-11.9); p-value = 0.01). Meanwhile, gender (females: aOR = 0.3, (95% CI: 0.1-0.9, p-value = 0.03) and higher baseline absolute CD4 counts (aOR = 1.003, (95% CI: 1.002-1.005); p-value < 0.001) were independent risk factors of inadequate IR after 12 months of treatment.

Conclusion

The study underscores the interplay of baseline CD4 count, gender, and regimen choice in shaping the effectiveness of cART in children. Lower baseline absolute CD4 count was associated with IR after starting cART. Notably, children on EFV had a higher likelihood of inadequate IR after 6 months, and male children were more prone to insufficient IR at 12 months. Targeting these population-specific factors may be pivotal in advancing gender-responsive therapeutic strategies and improving health outcomes for HIV-infected children in sub-optimal clinical settings and resource-constrained environments.

Predictors of change in CD4 cell count over time for HIV/AIDS patients on ART follow-up in northern Ethiopia: a retrospective longitudinal study

BACKGROUND

HIV has an effect on lowering CD4 cell count, which lowers the ability to resist contamination. For patients on ART in areas with limited resources, the CD4 cell count assessment is crucial for determining treatment responses and therapeutic decisions. The volatility of CD4 counts following the introduction of ART over time is still largely uncharacterized, and there are few fresh datasets on CD4 cell count progressions. The goal of this study was to identify the key factors that change over time in CD4 cells for HIV/AIDS patients receiving ART follow-up in northern Ethiopia.

METHODS

A total of 216 HIV/AIDS patients who initiated ART in the Mekelle General Hospital between 2013 and 2016 were involved using systematic random selection techniques. An examination of exploratory data was used to describe the individual profiles of HIV patients. A multivariable random intercept and slope linear mixed regression analysis regarded predictor variables to be statistically significant if their p-value was less than 0.05.

RESULTS

The random intercept and slope linear mixed model result indicated that there were statistically significant predictors of baseline CD4 cell count (β = 0.0125, P-value = 0.001*) and bedridden functional status (β = -2.459, p = 0.02*) on the change of CD4 cell count over time in HIV/AIDS patients at the 5% significance level.

CONCLUSIONS

Changes in CD4 counts were influenced by the baseline CD4 cell count and the functional status of being bedridden. Because their CD4 cell counts were lower at baseline and they had a functional status of bedridden, the majority of HIV/AIDS patients on ART had substantial predictors on the change of CD4 cell count over time. So, public health service providers should give exceptional guidance and attention is also necessary for those patients who have lower baseline CD4 cell count and bedridden functional status.

Optimizing HIV care: Insights from CD4 count, viral load, and demographic factors in a tertiary care centre of South Gujarat

PURPOSE

Despite advancements in prevention, diagnosis, and treatment, HIV/AIDS remains a critical health concern, particularly in India. This study contributes valuable insights into HIV management strategies. This prospective and retrospective longitudinal observational study aimed to analyze the trends in CD4 cell count and viral load suppression among adult People Living with HIV (PLHIV) undergoing antiretroviral therapy (ART) and evaluate the influence of demographic factors and ART adherence on these parameters at the ART Centre of New Civil Hospital, Surat, India.

MATERIALS & METHODS

Adult PLHIV registered and initiated on ART between June 2017 and May 2018 at ART-NCH, Surat with Continuous follow-up until 2023 were included in the study. Data was collected and Statistical analysis was performed using Microsoft Excel and SPSS software. Other factors were evaluated for their influence on treatment outcomes.

RESULTS

A longitudinally analyzed data from 365 adult PLHIV receiving ART with continuous follow-up until 2023 revealed significant trends, with CD4 counts increasing from 425 (1st month) to 612.67 (24th month), indicating improving immune function. Individuals on first-line ART regimens had significantly higher odds (OR: 3.5, 95 % CI: 1.1-11.3) of achieving CD4 counts ≥350 compared to those on second-line regimens. Adherence to treatment (OR: 1.98, 95 % CI: 1.1-3.4) also increased the odds of attaining CD4 counts ≥350. Viral load suppression was achieved in 353 out of 365 participants.

CONCLUSION

This study highlights the need for tailored interventions to optimize immune recovery and viral load suppression among PLHIV. Recommendations include targeted intervention to improve long-term health outcomes.

Predictors associated with CD4 cell count changes over time among HIV-infected children on anti-retroviral therapy follow-up in Mekelle General Hospital, Northern Ethiopia, 2019: a retrospective longitudinal study

INTRODUCTION

AIDS continues to be a serious global public health issue. It targets CD4 cells and immunological cells, which are in charge of the body's resistance against pathogenic pathogens. In situations with limited resources, CD4 cell measurement is essential for assessing treatment responses and clinical judgments in HIV-infected children receiving Anti-Retroviral Therapy (ART). The volatility of CD4 cells during ART follow-up is still largely uncharacterized, and there are few new datasets on CD4 cell changes over time. Therefore, the purpose of this analysis was to identify the factors that were predictive of CD4 cell count changes over time in children who started ART at Mekelle General Hospital in northern Ethiopia.

METHODS

A retrospective follow-up study was done. 437 patients in Mekelle general hospital, northern Ethiopia, from 2014-2016 were involved. All patients who have started anti-retrieval treatment (ART) and measured their CD4 cell count at least twice, including the baseline and those who initiated ART treatment, were included in the study population. An exploratory data analysis and linear mixed model analysis were used to explore the predictors of CD4 cell count change in patients and consider variability within and between patients.

RESULTS

This study found the correlation variation explained in cells accounted for between patients was 61.3%, and the remaining 38.7% variation existed within. This indicates that there is a substantial change in random slope and intercept between and within patients. WHO clinical stage IV (β = -1.30, 95% CI: -2.37, -0.23), co-infection HIV/TB (β = -1.78, 95% CI: -2.58, -0.98), children aged 2-5 (β = -0.43; 95% CI: -0.82, -0.04), and 6-14 years (β = -1.02; 95% CI: -1.47, -0.56), non-opportunistic infection (β = 1.33, 95% CI: 0.51, 2.14), and bedridden functional status (β = -1.74, 95% CI: -2.81, -0.68) were predictors of cell changes over time.

CONCLUSIONS

This study found that patients receiving ART experienced a significant change in CD4 cells over time. Because 61.3% of the variation in CD4 cells explained between patients and the remaining 38.7% within patients, such nested data structures are often strong correlation evidence. Co-infection of HIV/TB, functional status, age category of children, WHO clinical stage, and opportunistic infections are potential predictors of CD4 cells count change. Hence, special guidance and attention is also required, especially for those patients who have an opportunistic infections, higher WHO clinical stages, co-infections with HIV and TB, and bedridden functional status.

Determinates of anemia among Human Immune Deficiency Virus positive children on Anti-retro Viral Therapy in selected health facilities, Northwest Ethiopia: A Case-Control Study

Even though antiretroviral therapy (ART) access for human immunodeficiency virus (HIV)-infected children increased dramatically, anaemia has continued as a challenge regardless of a cluster of differentiation (CD4) count and viral load. Hence, the present study aimed to assess the determinants of iron deficiency anaemia among children living with HIV after the initiation of ART. An institution-based unmatched case-control study was conducted among consecutively selected 712 children on HIV care from 1 September to 30 October 2022 in the Metekel zone. A pre-tested and structured data extraction checklist was used to collect the data. Data were analysed using STATA version 16 software. Binary logistic regression was used to find the association between independent variables and anaemia. The level of statistical significance was declared at a value of P < 0⋅05. A total of 712 HIV-positive children (178 cases and 534 controls) were included in this study, with a completeness rate of 98⋅8 %. In multivariable analysis, variables that have a statistically significant association with anaemia were as follows: CD4 count <350 (Adjusted Odds Ratio [AOR] 2⋅76; 95 % CI 1⋅76, 4⋅34), World Health Organization (WHO) clinical stage III (AOR 7⋅9; 95 % CI 3⋅5, 17⋅91) and stage IV (AOR 7⋅8; 95 % CI 3⋅37, 18⋅1), cotrimoxazole prophylaxis therapy (AOR 0⋅5; 95 % CI 0⋅31, 0⋅8) and mid-upper arm circumference (MUAC) ≤11⋅5 mm (AOR 2⋅1; 95 % CI 1⋅34, 3⋅28). The present study found that CD4 count, WHO clinical stage, cotrimoxazole prophylaxis therapy and MUAC were significantly associated with anaemia in children on ART. Therefore, continuous screening of anaemia and nutritional treatment is essential in these patients.

Cost-effectiveness of dolutegravir vs. efavirenz-based combined antiretroviral therapies in HIV-infected treatment-naive patients in a Nigerian treatment centre

BACKGROUND

Dolutegravir (DTG) based antiretroviral therapy (ART) has largely replaced Efavirenz (EFV) based therapy as the preferred first-line regimen in the treatment of adults with HIV. This study was carried out to evaluate the comparative cost-effectiveness of DTG and EFV-based ART in HIV-infected treatment-naïve patients in a treatment centre in Nigeria.

METHODS

This was a retrospective case-control study of patients initiated on DTG vs. EFV-based regimens from January 2018 to December 2019 at the APIN/HAVARD clinic of Nigeria's Jos University Teaching Hospital. The current viral load result was used to determine treatment effectiveness using a benchmark of ≤200 copies/mL. Sensitivity analysis was carried out to ensure the robustness of the benchmark. The total cost of treatment was obtained by summing up the relevant cost components. Appropriate descriptive and inferential statistics were employed in data analysis using Statistical Product and Services Solutions (SPSS) V.25. The incremental cost-effectiveness ratio of DTG compared to EFV was presented as cost/effectiveness.

RESULTS

Treatment was effective in 42(51.9%) and 58(71.6%) patients initiated on DTG and EFV-based regimen, respectively. The incremental cost-effective ratio (ICER) of patients on DTG compared to those on EFV was $10.5076 per effectiveness, which was less than 1% of the Nigerian 2019 per capita Gross Domestic Product. Sensitivity analysis showed the robustness of the result.

CONCLUSION

Efavirenz based regimen had higher treatment effectiveness than DTG-based regimen in treatment-naive patients after initiating treatment in a short term. Compared to EFV, DTG-based regimen is cost-effective in the management of treatment naïve HIV patients.

Characteristics, clinical outcomes, and mortality of older adults living with HIV receiving antiretroviral treatment in the sub-urban and rural areas of northern Thailand

Since the introduction of antiretroviral treatment (ART), people living with HIV worldwide live into older age. This observational study described the characteristics, clinical outcomes, and mortality of older adults living with HIV (OALHIV) receiving ART from the National AIDS program in northern Thailand. Participants aged ≥ 50 years were recruited from the HIV clinics in 12 community hospitals. Data were obtained from medical records and face-to-face interviews. In 2015, 362 OALHIV were enrolled; their median (interquartile range) age and ART duration were 57 years (54-61), and 8.8 years (6.4-11.2), respectively. At study entry, 174 (48.1%) had CD4 counts ≥ 500 cells/mm3; 357 of 358 (99.6%) with available HIV RNA results were virologic-suppressed. At the year 5 follow-up, 39 died, 11 were transferred to other hospitals, 3 were lost to follow-up, and 40 did not contribute data for this analysis, but remained in care. Among the 269 who appeared, 149 (55%) had CD4 counts ≥ 500 cells/mm3, and 227/229 tested (99%) were virologic-suppressed. The probability of 5-year overall survival was 89.2% (95% confidence interval, CI 85.4-92.1%). A significantly low 5-year overall survival (66%) was observed in OALHIV with CD4 counts < 200 cells/mm3 at study entry. The most common cause of death was organ failure in 11 (28%), followed by malignancies in 8 (21%), infections in 5 (13%), mental health-related conditions in 2 (5%), and unknown in 13 (33%). In OALHIV with stable HIV treatment outcomes, mortality from non-infectious causes was observed. Monitoring of organ function, cancer surveillance, and mental health screening are warranted.

Suboptimal Immune Recovery and Associated Factors Among People Living with HIV/AIDS on Second-line Antiretroviral Therapy in Central China: A Retrospective Cohort Study

BACKGROUND

The introduction and scale-up of antiretroviral therapy (ART) have contributed to significantly improved patients with acquired immune deficiency syndrome (AIDS) quality of life and prolongs their survival. This has occurred by suppressing viral replication and recovering the CD4 cell count. However, some patients do not normalize their CD4 cell count, despite suppression of the viral load (VL). Patients with suboptimal immune recovery (SIR), as defined by a viral load(VL) < 400 copies/ml with a CD4 cell count of<200cells/μl, after ART initiation, exhibit severe immune dysfunction and have a higher risk of AIDS and non-AIDS events. In recent years, People living with HIV/AIDS (PLWHA) with first-line ART failure began to gradually switch to second-line ART. This study aimed to examine the prevalence and factors affecting SIR among people living with HIV/AIDS (PLWHA) who switch to second-line ART in rural China.

METHODS

A 1-year retrospective cohort study was conducted among PLWHA who switched to second-line ART between January 2009 and December 2018. All patients with a viral load(VL) < 400 copies/ml after 1 year of second-line ART were included. SIR was defined as a CD4 cell count <200 cells/μl and a viral load(VL) <400 copies/ml after 1 year of second-line ART. The data collected from medical records were analyzed by univariate and multivariate analyses.

RESULTS

A total of 5294 PLWHA met the inclusion criteria, 24 died, and 1152 were lost to follow-up after 1 year of second-line ART. Among 4118 PLWHA who were followed up, 3039 with a viral load(VL) <400 copies/ml had their data analyzed, and the prevalence of SIR was 13.1%. The patients' mean age at recruitment was 47.6±8.1 years and 45.3% were men. A total of 30.7% of patients were HIV-positive for >8 years and 88.2% were receiving ART before starting second-line ART for >3 years. The mean CD4 cell count was 354.8±238.2 cells/μl. A multivariable analysis showed that male sex, single status (unmarried or divorced), and a low CD4 cell count were risk factors for SIR among PLWHA with second-line ART.

CONCLUSIONS

The prevalence of SIR among PLWHA who switched to second-line ART in this retrospective cohort study is lower than that in most other studies. Several factors associated with SIR include male sex, marital status, and CD4 cell count levels in PLWHA. This article is protected by copyright. All rights reserved.

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.

Plasminogen Activator Inhibitor 1 (PAI-1) and Haematologic Parameters in HIV- Positive Patients on Protease Inhibitor-Based HAART Regimen: A Case-Control Study

Background: Human immunodeficiency virus (HIV) infection is associated with an increased risk of hypercoagulability and treatment with antiretroviral agents especially protease inhibitors has also been reported to contribute to this risk. Altered fibrinolytic activity is reported as a mechanism of increased thrombotic risk in HIV patients on therapy. However, this has not been investigated in our environment. Objective: To evaluate and compare PAI-1 levels as a marker of thrombotic risk in HIV-infected persons on PI-based HAART regimen with those on non-PI-based therapy and to correlate PAI-1 with haematological parameters. Methods: This was a comparative cross-sectional study conducted at the University of Calabar Teaching Hospital (UCTH), Calabar, Cross River State. A total of 125 subjects including 45 HIV-positive patients on PI-based HAART regimen, 42 HIV-positive patients on non-PI-based HAART regimen and 38 Controls. The controls include 18 HIV-positive therapy naïve patients and 20 HIV-negative controls. PAI 1 and blood counts were estimated using standard methods. Data were analyzed using the IBM version of the statistical package for social sciences (SPSS) version 22. Statistical significance was set at 0.05. Result: The median PAI-1 level was significantly increased in patients on PI-based HAART regimen (p  =  0.004). The blood counts did not differ significantly between patients on PI and non-PI-based HAART regimens (p > 0.05). There were no significant correlations between PAI-1 levels and blood counts (p > 0.05). Conclusion: PAI-1 level is elevated in HIV patients on PI-based HAART regimen. However, the association with thrombotic events could not be established in the study.

A Real-World Evidence-Based Management of HIV by Differential Duration HAART Treatment and its Association with Incidence of Oral Lesions

Background

The efficacy of highly active antiretroviral therapy (HAART) can be estimated by the immunological response and the incidence of opportunistic infections.

Objective

This study aimed at evaluating the effectiveness of different durations of HAART in terms of immunological response markers (CD4 count and CD4/CD8 ratio) along with disease progression markers (incidence of oral lesions) in Chinese patients with HIV.

Methods

This single-center, retrospective, and real-world study included patients with HIV, grouped into a treatment group and treatment-naïve group, of which the former was further divided into 6, 12, and 18 months based on the treatment duration. The CD4 and CD8 cell counts were analyzed by the FACSCalibur flow cytometry. Kruskal-Wallis test was applied to determine the outcome of different duration of HAART. Oral examination was carried out according to the WHO type IV examination.

Results

In 246 patients with HIV, CD4 counts increased significantly post-HAART compared to pre-HAART in all three treatment groups (P<.001), while CD8 count decreased significantly (P<.05) in all three treated groups. A significant association of HAART with the CD4/CD8 ratio was observed (P<.001). A significant increase in CD4 count was observed between 12-months and 18-months treatment groups (P<.05). The occurrence of oral lesions reduced significantly in the treatment group.

Conclusion

We observed a better response to the HAART regimen with 18-months of duration than 12-months and 6-months therapies and reduction in oral lesions.

Effect of Traditional Chinese Medicine Therapy on the Trend in CD4+ T-Cell Counts among Patients with HIV/AIDS Treated with Antiretroviral Therapy: A Retrospective Cohort Study

This retrospective cohort study was conducted to explore the effect of traditional Chinese medicine (TCM) therapy on the long-term trends in CD4⁺ T-cell count among patients with human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) who were treated with combined antiretroviral therapy (cART) over a 14-year period. A total of 721 individuals were treated with cART alone (cART group), and 307 individuals were treated with both cART and TCM (TCM + cART group). Among all enrolled patients with HIV/AIDS, 99.5% were farmers, 71.1% had more than 6 years of education, and 96.8% were infected with HIV via a paid blood donation. For those patients with HIV/AIDS who had a baseline CD4⁺ T-cell count of <350 cells/mL, the CD4⁺ T-cell count tended to increase to approximately 350 cells/mL more rapidly in the TCM + cART group than in the cART group, but when the baseline CD4⁺ T-cell count was ≥350 cells/mL, there was no difference between the cART and TCM + cART groups. For other patients with HIV/AIDS who had a baseline CD4⁺ T-cell count of 350–500 cells/mL, the CD4⁺ T-cell counts tended to increase slightly, but there was no difference between the two groups. For patients with HIV/AIDS who had a baseline CD4⁺ T-cell count of ≥500 cells/mL, the CD4⁺ T-cell counts tended to be maintained at a particular level, with no difference between the two groups. The results show that the effect of TCM on the CD4⁺ T-cell counts of patients with HIV/AIDS is related to the CD4⁺ T-cell level at the time of initial treatment. TCM can increase the CD4⁺ T-cell count among patients with HIV/AIDS who have a baseline CD4⁺ T-cell count of <350 cells/mL. Sex and age have a slight influence on the therapeutic effect of TCM.

Socio-Demographic, Economic and Clinical Predictors for HAART Adherence Competence in HIV-Positive Adults at Felege Hiwot Teaching and Specialized Hospital, North West Ethiopia

Background

Currently, around 36.7 million people in the world are living with HIV. Among these, 52% are living in sub-Saharan Africa. The main objective of this study was to identify socio-demographic economic and clinical factors associated with HAART adherence competence in successive visits among adult HIV patients after commencement of their treatment.

Methods

A retrospective cohort study design was conducted on a random sample of 792 treatment attendants. The samples were selected using stratified random samples technique considering their residence area as strata. Secondary data were used in this study. Structural equation modeling (SEM) was applied to identify predictors of HAART adherence competence over time.

Results

In this longitudinal study, factors affecting long-term HAART adherence competence in successive visits were identified. Among the predictors, marital status (mean = 3.97, variance = 0.6, p = 0.021), level of disclosure of the disease (mean = 6.24, variance = 0.29, p = 0.012), residence area (mean = 3.97, variance = 0.6, p = 0.021), level of education (mean = 2.04, variance= 0.81, p = 0.012), ownership of cell phone (mean = 2.99, variance = 0.68, p = 0.034), household income (mean = 6.37, variance = 0.53, p = 0.002), age of patients (mean = –2.78, variance = 56.64, p = 0.023), sex of patients (mean = –1.25, variance = 0.88, p = 0.036), weight (mean = –2.89, 42.36, p = 0.001), initial CD4 cell count (mean = 2.57, variance = 158.48, p = 0.015) and WHO stages (mean = 2.37, variance = 0.78, p = 0.026) were directly associated with retention of medication care. On the other hand, medication care was significantly and independently associated with longitudinal adherence competence.

Conclusion

The outcome variable in successive visits increased with the number of follow-up visits, but the rate of increase was different for different groups, such as urban and rural, and for those patients disclosing and not disclosing the disease to family members. An integrated health-related education should be given for non-adherent patients like rural residents, patients living without partners, patients with no cell phone and aged patients.

Factors associated with prognostic or treatment outcomes in HIV/AIDS patients with and without hypertension in Eswatini

Non-communicable diseases are increasing faster in HIV/AIDS patients than in the general population. We studied the association between hypertension and other possible confounding factors on viral load and CD4-cell counts in hypertensive and non-hypertensive HIV/AIDS patients receiving antiretroviral therapy (ART) at a large hospital in Eswatini over a 4-year period. We performed a retrospective longitudinal review of the medical records of 560 ART patients divided into non-hypertension and hypertension groups (n = 325 and n = 235) from July 27 to September 8, 2018. Generalized Estimated Equation was used to analyze the longitudinal data. Hypertensive patients were more likely to have improved CD4-cell counts than non-hypertensive patients (OR = 1.83, [1.37–2.44]). ART patients with hypertension were more likely to have detectable viral loads, though not significant (OR = 1.37 [0.77–2.43]). In non-hypertensive patients, second line ART was significantly associated with viral load (OR = 8.61 [2.93–25.34]) and adverse side effects (OR = 3.50 [1.06–11.54]), while isoniazid preventive therapy was significantly associated with CD4-cell counts (OR = 1.68 [1.16–2.45]). In hypertensive patients, factors associated with viral load were WHO HIV stage (OR = 2.84 [1.03–7.85]) and adherence (OR = 8.08 [1.33–49.04]). In both groups, CD4-cell counts significantly and steadily increased over time (p-value < 0.001). Results show a significant association between hypertension and CD4 cell counts but not viral load. In ART patients with and without hypertension, the factors associated with prognostic markers were different. More attention may need to be paid to ART patients with well controlled HIV status to monitoring and controlling of hypertension status.

Magnitude of anemia and undernutrition among HIV-infected children who took HAART: a retrospective follow-up study

BACKGROUND

Human immunodeficiency virus (HIV) is a virus that affects the immune system, the body's natural defence system. It is a virus spreading through certain body fluids that attacks the body's immune system, specifically the Cluster of Differentiation 4 (CD4) T-cells. Anemia is a common manifestation of pediatric HIV infection and is a significant negative predictor of survival. Moreover, undernutrition is the underlying cause of death among 35% of children aged under 5 years, and it has been negatively implicated with antiretroviral therapy (ART) outcomes, particularly in developing countries. The aim of this study was to determine the magnitude of anemia and undernutrition among HIV-infected children within the first year of ART initiation at University of Gondar comprehensive specialized hospital ART clinic.

METHODS

Records of 200 children aged <15 years old who were on ART at the University of Gondar comprehensive specialized hospital from 2005 to 2017 were retrospectively reviewed in 2017. Baseline characteristics and one-year flow-up data after ART initiation were extracted from the medical records. Anemic status was determined based on the hemoglobin (Hb) level in accordance with World Health Organization (WHO) guideline. The nutritional status was calculated based on anthropometric measurements. Generalized Estimating Equation (GEE) was fitted to identify factors associated with anemia and undernutrition. Odds ratio with the corresponding 95% Confidence interval (CI) was reported.

RESULTS

Of the total children, 75 (37.5%) (95% CI: 30.73-44.27%) were anemic at the baseline of ART initiation. The magnitude of anemia has shown a persistent decline from the baseline to 12th months of ART initiation. At ART initiation, the magnitude of undernutrition was high, 64% (95% CI: 57.3-70.7%). Similarly, the magnitude of undernutrition showed decrement during a one year ART initiation period. Stunting was the most common type of undernutrition at baseline (49.5%), 6 months (44%), 9 months (41%), and 12 months (39%) of ART initiation. Baseline CD4 count, Baseline WHO clinical stage and age at enrollment to the care were significantly associated with anemia within the first year of ART initiation.

CONCLUSION

Despite a decline in the first year of ART initiation, anemia and undernutrition were public health problems in HIV-infected children. Hence, for HIV-infected children taking HAART, emphasis should be given to manage anemia and undernutrition within the first year of ART initiation.

Immunological status and virological suppression among HIV-infected adults on highly active antiretroviral therapy

BACKGROUND

World Health Organization (WHO) recommends that viral load ([VL) is a primary tool that clinicians and researchers have used to monitor patients on antiretroviral therapy (ART), an antiviral drug against retroviruses. Whereas, CD4 cell counts can only be used to monitor clinical response to ART in the absence of VL testing service. Therefore, this study is aimed to assess the level of immunological status and virological suppression, and identify associated factors among human immunodeficiency virus ([HIV)-infected adults who were taking antiretroviral drugs of combination regimen know as highly active antiretroviral therapy (HAART).

METHODS

A hospital-based cross-sectional study was conducted at the University of Gondar comprehensive specialized referral hospital from February to April 2018. A total of 323 adult participants on HAART were selected using a systematic random sampling technique and enrolled into the study. Blood samples for viral load determination and CD4 cell count were collected. Binary logistic regression analysis was used to determine factors associated with immunologic status and virological suppression in HIV patients on HAART. Odds ratio with 95% CI was used to measure the strength of association.

RESULTS

Virological suppression (VL level < 1000 copies/ml) was found in 82% (95% CI 77.7, 86.1) of study participants, and it has been associated with CD4 cell count between 350 and 499 cells/mm³ (adjusted odds ratio (AOR) = 2.56; 95% CI 1.14, 5.75) and > 499 cells/mm³ (AOR = 7.71; 95% CI 3.48, 17.09) at VL testing and current age > 45 years old (AOR = 5.99; 95% CI 2.12, 16.91). Similarly, favorable immunological status (≥ 400 cells/mm³ for male and ≥ 466 cells/mm³ for female) was observed in 52.9% (95% CI 47.4, 58.8) of the study participants. Baseline CD4 cell count of > 200 cells/mm³, age at enrollment of 26 through 40 years old, and urban residence were significantly associated with favorable immunological status.

CONCLUSION

Though the majority of HIV-infected adults who were on HAART had shown viral suppression, the rate of suppression was sub-optimal according to the UNAIDS 90-90-90 target to help end the AIDS pandemic by 2020. Nonetheless, the rate of immunological recovery in the study cohort was low. Hence, early initiation of HAART should be strengthened to achieve good virological suppression and immunological recovery.

Immunological Response During HAART and Determinants of Current CD4+ T-Cell Count Among HIV/AIDS Patients Attending University of Gondar Referral Hospital, Northwest Ethiopia

PURPOSE

After the initiation of highly active antiretroviral therapy (HAART), successful HAART is characterized by an increase in the CD4+ count. Several factors affect the CD4+ T-cell count. This study aimed to assess the immunological response during HAART and determinants of the current CD4+ T-cell count among HIV/AIDS patients on HAART.

PATIENTS AND METHODS

A hospital-based cross-sectional study was conducted from February 1 to April 1, 2017. A total of 423 HIV/AIDS patients on HAART were enrolled using simple random sampling. Descriptive statistics, and bivariate and multiple regression analyses were conducted. Variables with p-value <0.2 in the bivariate analysis were entered in the multiple regression models. p-Values <0.05 and 95% confidence intervals were used to identify determinants of the current CD4+ T-cell count.

RESULTS

The mean CD4+ T-cell count gradually increased until 8 years on HAART but declined thereafter. An increased current CD4+ T-cell count was observed among patients with an initial regimen of pediatric d4T-3TC-NVP [β=185.5, 95% CI (8.8, 362.2)] (p=0.040), with increased baseline CD4+ T-cell count [β=0.468, 95% CI (0.342, 0.594)] (p<0.0001), and with long duration on HAART [β=18.0, 95% CI (9.9, 26.1)] (p<0.0001), whereas a decreased level of current CD4+ T-cell count was observed among males [β=-72.7, 95% CI (-114.5, -30.9)]) (p<0.0001) and those with poor baseline adherence [β=-108.9, 95% CI (-210.9, -7.0)] (p=0.036) and viral load >1000 copies [β=-189.2, 95% CI (-243.5, -134.9)] (p<0.0001).

CONCLUSION

The trend in immunological response was not increased linearly throughout the HAART duration. Sex, type of initial regimen, baseline adherence, baseline CD4+ count, viral load, and duration on HAART were independent determinants of current CD4+ count. These determinants could be addressed by regular monitoring of HIV patients on HAART, and special attention should be paid to male patients.

Assessment of Pattern of CD4+ T-Cell Recovery Among Human Immunodeficiency Virus Patients After Initiation of Highly Active Antiretroviral Therapy at Arsi Negelle Health Center, Ethiopia: A Retrospective Cross-Sectional Study

Background

Antiretroviral therapy has resulted in significant reductions in HIV-associated complications by recovering the CD4+ T cell count. Some patients may not be successful in attaining this result, and some may achieve it only after many years of treatment.

Objective

This study aimed to assess CD4+ T cell recovery and non-response patterns among HAART experienced HIV-positive patients at the Arsi Negelle health center.

Methods

This was a retrospective cross-sectional study conducted among HAART experienced HIV/AIDS patients at Arsi Negelle Health Center from January 01, 2014 to January 06, 2019. Data were documented to a data retrieval form and analyzed with SPSS version 20. Linear regression analysis was used to identify predictors of CD4 count change. A P-value of <0.05 was considered significant.

Results

The total median of CD4+ T cells increased from 257 cells/uL at the baseline to 382 cells/uL after 6 months, then to 591 cells/uL after 60 months of treatment. The non-response rate was 22.1% and 23.8% among the total study participants and children of less than 15 years, respectively. Only baseline CD4+ T cell was associated with a change in CD4+ T cell count.

Conclusion

From our study, we can conclude that CD4+ T cell count has recovered in most of the study participants after HAART initiation. The immunological non-response rate of study participants was 22.1% after 12 months on HAART and 7.2% at the end of the study.

Immunological recovery, failure and factors associated with CD-4 T-cells progression over time, among adolescents and adults living with HIV on Antiretroviral Therapy in Northern Ethiopia: A retrospective cross sectional study

Background

This study was aimed to assess immunological recovery, failure, and factors associated with CD-4 T-cells progression over time, among adolescents and adults living with HIV on Antiretroviral Therapy in Northern Ethiopia.

Methods

A retrospective cross sectional study was done on 19,525 HIV patients on ART. Data were collected using a data retrieval checklist from a database. All eligible data in the database were exported to Microsoft excel 2010 and then data verification and filtration were done before exporting to STATA 14.0 for analysis. Factors associated with recent CD-4 count were modeled by using Generalized Linear Model poison family.

Results

Among the patients with advanced HIV infection (< 200 CD-4 T-cell/ mm³) at baseline, only 28.35%, 95% CI (27.45–29.26) of them had immunological recovery (≥ 500 T-cells/mm³). Only 2.14%, 95%CI (1.94%- 2.35%) of the patients had immunological failure. Baseline CD-4 count (Incidence Rate Ratio (IRR) = 1.0007, 95%CI = 1.00069–1.00078), patients from military health care facility (IRR = 1.11, 95%CI = 1.06–1.16), good adherence (IRR = 1.12, 95%CI = 1.04–1.21) and viral load suppression (IRR = 1.31, 95%CI = 1.28–1.33) were positively associated with recent CD-4 count in the full model. Whereas, being male (IRR = 0.85, 95%CI = 0.83–0.86), patients with on Anti-Retroviral Therapy (ART) regimen of 1e (TDF-3TC-EFV), 2f (AZT-3TC-ATV/r), and 2h (TDF-3TC-ATV/r) (IRR = 0.92, 95%CI = 0.91–0.94), (IRR = 0.65, 95%CI = 0.55–0.76) and (IRR = 0.71, 95%CI = 0.63–0.81) respectively were negatively associated with the recent CD-4 count in the full model.

Conclusions

Immunological recovery was achieved by 1/3 of the patients despite being on highly active ART (HAART). Therefore, intensive adherence counseling, follow-up and support should be focused on patients with viral non suppression to enhance immunological recovery.

HIV Disease Progression Among Antiretroviral Therapy Patients in Zimbabwe: A Multistate Markov Model

Background: Antiretroviral therapy (ART) impact has prolonged survival of people living with HIV. We evaluated HIV disease progression among ART patients using routinely collected patient-level data between 2004 and 2017 in Zimbabwe. Methods: We partitioned HIV disease progression into four transient CD4 cell counts states: state 1 (CD4 ≥ 500 cells/μl), state 2 (350 cells/μl ≤ CD4 < 500 cells/μl), state 3 (200 cells/μl ≤ CD4 < 350 cells/μl), state 4 (CD4 < 200 cells/μl), and the absorbing state death (state 5). We proposed a semiparametric time-homogenous multistate Markov model to estimate bidirectional transition rates. Covariate effects (age, gender, ART initiation period, and health facility level) on the transition rates were assessed. Results: We analyzed 204,289 clinic visits by 63,422 patients. There were 24,325 (38.4%) patients in state 4 (CD4 < 200) at ART initiation, and 7,995 (12.6%) deaths occurred by December 2017. The overall mortality rate was 3.9 per 100 person-years. The highest mortality rate of 5.7 per 100 person-years (4,541 deaths) was from state 4 (CD4 < 200) compared to other states. Mortality rates decreased with increase in time since ART initiation. Health facility type was the strongest predictor for immune recovery. Provincial or central hospital patients showed a diminishing dose-response effect on immune recovery by state from a hazard ratio (HR) of 8.30 [95% confidence interval (95% CI), 6.64-10.36] (state 4 to 3) to HR of 3.12 (95% CI, 2.54-4.36) (state 2 to 1) compared to primary healthcare facilities. Immune system for male patients was more likely to deteriorate, and they had a 32% increased mortality risk (HR, 1.32; 95% CI, 1.23-1.42) compared to female patients. Elderly patients (45+ years) were more likely to immune deteriorate compared to 25-34 years age group: HR, 1.35; 95% CI, 1.18-1.54; HR, 1.56; 95% CI, 1.34-1.81 and HR, 1.53; 95% CI, 1.32-1.79 for states 1 to 2, state 2 to 3, and states 3 to 4, respectively. Conclusion: Immune recovery was pronounced among provincial or central hospitals. Male patients with lower CD4 cell counts were at a higher risk of immune deterioration and mortality, while elderly patients were more likely to immune deteriorate. Early therapeutic interventions when the immune system is relatively stable across gender and age may contain mortality and increase survival outcomes. Interventions which strengthen ART services in primary healthcare facilities are essential.

Tualang honey ameliorates viral load, CD4 counts and improves quality of life in asymptomatic human immunodeficiency virus infected patients

This is the first study to report on the effects of honey in asymptomatic HIV positive subjects in ameliorating CD4 count, viral load (VL) and quality of life (QOL). It is a randomized, controlled, open labelled study, comparing the effects of Tualang honey (TH) administration for six months at three different doses: 20 g (THL), 40 g (THI) or 60 g (THH) daily compared with control (no administered treatment, THC). Only asymptomatic HIV positive subjects (n=95) having CD4 count 250-600 cell/ml, not on antiretrovirals were enrolled. Blood, (together with QOL questionnaires administration) were investigated at baseline, three and six months (CD4 cell count) while VL was determined only at baseline and six months. Significant reductions in CD4 counts in THL and THC groups (p= 0.003 for both) were seen with no significant reductions in the CD4 counts in THI and THH groups (p=0.447 and 0.053 respectively). There was improvement in VL in THC and THI (130% and 32% respectively) and reductions in THL and THH (26% and 8% respectively). Within and between group analyses for VL indicated significant differences between THL and THH compared to THC. In addition, significant improvement in QOL of groups which received TH was noted. TH has the potential to improve the QOL (physical and psychological) and CD4 counts. There was a trend of lower VL in asymptomatic HIV subjects following TH administration thus supporting the possible role of TH in boosting the immune system by improving CD4 counts, causing VL reductions in HIV positive subjects.

HIV treatment outcomes following antiretroviral therapy initiation and monitoring: A workplace program in Papua, Indonesia

Background

Papua Province, Indonesia is experiencing an on-going epidemic of Human Immunodeficiency Virus (HIV) infection, with an estimated 9-fold greater prevalence than the overall national rate. This study reviewed the treatment outcomes of an HIV-infected cohort on Antiretroviral Therapy (ART) and the predictors in terms of immunological recovery and virological response.

Methods

ART-naïve individuals in a workplace HIV program in southern Papua were retrospectively analyzed. Patients were assessed at 6, 12 and 36 months after ART initiation for treatment outcomes, and risk factors for virological suppression (viral load (VL) <1,000 copies/ml), poor immune response (CD4 <200 cells/mm³) and immunological failure (CD4 <100 cells/ mm³) after at least 6 months on ART, using a longitudinal Generalized Estimating Equations multivariate model.

Results

Assessment of 105 patients were included in the final analysis with a median age of 34 years, 88% male, median baseline CD4 236 cells/ mm³, and VL 179,000 copies/ml. There were 74, 73, and 39 patients at 6, 12, and 36 months follow-up, respectively, with 5 deaths over the entire period. For the three observation periods, 68, 80, and 75% of patents achieved virological suppression, poor immune responders decreased from 15, 16 to 10%, whilst 15, 16, 10% met the immunological failure criteria, respectively. Using multivariate analysis, the independent predictor for viral suppression at 12 and 36 months was ≥1 log decrease in VL at 6 months (OR 19.25, p<0.001). Higher baseline CD4 was significantly correlated with better immunological outcomes, and lower likelihood of experiencing immunological failure (p <0.001).

Conclusion

Virological response at six months after beginning ART is the strongest predictor of viral suppression at 12 and 36 months, and may help in identifying patients needing additional adherence therapy support. Higher baseline CD4 positively affects the immunological outcomes of patients. The findings indicate HIV control programs should prioritize the availability of VL testing and begin ART regardless of CD4 counts in infected patients.

Corrected Lymphocyte Percentages Reduce the Differences in Absolute CD4+ T Lymphocyte Counts between Dual-Platform and Single-Platform Flow Cytometric Approaches

Objective

To determine whether a corrected lymphocyte percentage could reduce bias in the absolute cluster of differentiation (CD)4+ T lymphocyte counts obtained via dual-platform (DP) vs standard single-platform (SP) flow cytometry.

Methods

The correction factor (CF) for the lymphocyte percentages was calculated at 6 laboratories. The absolute CD4+ T lymphocyte counts in 300 blood specimens infected with human immunodeficiency virus (HIV) were determined using the DP and SP methods.

Results

Applying the CFs revealed that 4 sites showed a decrease in the mean bias of absolute CD4+ T lymphocyte counts determined via DP vs standard SP (-109 vs -84 cells/μL, -80 vs -58 cells/μL, -52 vs -45 cells/μL, and -32 vs 1 cells/μL). However, 2 participating laboratories revealed an increase in the difference of the mean bias (-42 vs -49 cells/μL and -20 vs -69 cells/μL).

Conclusions

Use of the corrected lymphocyte percentage shows potential for decreasing the difference in CD4 counts between DP and the standard SP method.

Cryptococcal antigenemia and associated risk factors among ART-naïve and ART-experienced HIV-infected peoples at selected health institutions of Mekelle, Northern Ethiopia

Cryptococcal infection is a major cause of opportunistic infection in HIV/AID‐infected peoples. We determined cryptococcal antigenemia and cryptococcal meningitis among antiretroviral therapy (ART) initiated and ART‐naive HIV‐infected peoples. A cross‐sectional study was conducted at selected health facilities in Mekelle, Ethiopia. Blood was collected to determine CD4 and plasma cryptococcal antigen (CrAg). CSF CrAg and CSF culture and urease tests were also done. Socio‐demographic and clinical data were collected using a structured questionnaire and clinical chart review. From the enrolled study participants, 267 study participants had complete data, of which, 137 (51%) were females. From the study participants, 140 (52%) and 127 (48%) were ART experienced and ART naïve, respectively. The prevalence of cryptococcal antigenemia was 9 (3.4%). All the study participants, except one (CD4 = 120 cells/mm³), had CD4 count less than 100 cells/mm³. From CrAg‐positive peoples, 6 (4.7%) were ART naïve. Five CrAg‐positive peoples had cryptococcal meningitis. Being male, rural residence, and being hospitalized were associated with cryptococcal antigenemia. Cryptococcal infection poses a substantial risk of HIV‐positive peoples. This study provides relevant data for CrAg screening interventions in patients with low CD4 cell counts.

Immunologic and virological response to ART among HIV infected individuals at a tertiary hospital in Ghana

Background

The need to study the outcome of Antiretroviral Therapy (ART) among Human Immunodeficiency Virus (HIV) infected individuals in Ghana, a sub-Saharan African country crucial in the era of the “Treat All” policy. The aim of this study was to analyze selected determinants of immunological and virological response to ART among HIV infected individuals in a tertiary facility in Cape Coast, Ghana.

Methods

An analytical cross sectional study with a retrospective component was conducted in the Cape Coast Teaching Hospital (CCTH), Central Region. Clients aged 18 years and above attending the HIV Clinics for ART and who were on ART for 6 months or more were recruited. The viral loads, CD4 count and other socio-demographic data were analyzed using STATA version 13 (STATA Corp, Texas USA). Descriptive analysis was done and presented with appropriate measures of central tendencies. In addition, bivariate and multivariate analysis was carried out with p value of 0.05 interpreted as evidence of association between variables.

Results

A total of 440 participants were included in this study with a mean age of 45.5 (±11.6) years. The mean CD4 count at baseline, 6 months on ART and currently at study recruitment were 215.1 cells/mm³ (±152.6), 386.6 cells/mm³ (±178.5), and 579.6 cells/mm³ (±203.0) respectively. After 6 months and 12 months on ART, the number who had achieved viral copies < 1000/ml were 149 (47.0%) and 368 (89.6%) respectively. There was strong evidence of an association between having CD4 count < 350 cells/mm³ after 6 months on ART and having a diagnosis of tuberculosis since HIV diagnosis (aOR 8.5, 95% CI 1.1–73.0, p = 0.05) and clients having plasma viral load > 1000 copies/ml after 6 months on ART (aOR 2.0, 95% CI 1.2–3.2, p = 0.01).

Conclusion

There was good response to ART among clients, high virological suppression and immunological recovery hence low rates of change to second line ART regimen in this cohort studied. With strict adherence to the national policy on HIV testing, management of positive clients and full implementation of the “Treat All” policy, Ghana could achieve, if nothing at all, the third “90, 90, 90” target by 2020.

Electronic supplementary material

The online version of this article (10.1186/s12879-018-3142-5) contains supplementary material, which is available to authorized users.

Determinants of CD4 cell count change and time-to default from HAART; a comparison of separate and joint models

BACKGROUND

HIV has the most serious effects in Sub-Saharan African countries as compared to countries in other parts of the world. As part of these countries, Ethiopia has been affected significantly by the disease, and the burden of the disease has become worst in the Amhara Region, one of the eleven regions of the country. Being a defaulter or dropout of HIV patients from the treatment plays a significant role in treatment failure. The current research was conducted with the objective of comparing the performance of the joint and the separate modelling approaches in determining important factors that affect HIV patients' longitudinal CD4 cell count change and time to default from treatment.

METHODS

Longitudinal data was obtained from the records of 792 HIV adult patients at Felege-Hiwot Teaching and Specialized Hospital in Ethiopia. Two alternative approaches, namely separate and joint modeling data analyses, were conducted in the current study. Joint modeling was conducted for an analysis of the change of CD4 cell count and the time to default in the treatment. In the joint model, a generalized linear mixed effects model and Weibul survival sub-models were combined together for the repetitive measures of the CD4 cell count change and the number of follow-ups in which patients wait in the treatment. Finally, the two models were linked through their shared unobserved random effects using a shared parameter model.

RESULTS

Both separate and joint modeling approach revealed a consistent result. However, the joint modeling approach was more parsimonious and fitted the given data well as compared to the separate one. Age, baseline CD4 cell count, marital status, sex, ownership of cell phone, adherence to HAART, disclosure of the disease and the number of follow-ups were important predictors for both the fluctuation of CD4 cell count and the time-to default from treatment. The inclusion of patient-specific variations in the analyses of the two outcomes improved the model significantly.

CONCLUSION

Certain groups of patients were identified in the current investigation. The groups already identified had high fluctuation in the number of CD4 cell count and defaulted from HAART without any convincing reasons. Such patients need high intervention to adhere to the prescribed medication.

Antiretroviral changes during the first year of therapy

INTRODUCTION

The Brazilian HIV/AIDS management and treatment guideline (PCDT), published in 2013, recommends and standardizes the use of highly active antiretroviral therapy (HAART) in all adult patients, in spite of LTCD4 count. This study aimed to analyze the first year of HAART use in patients from a reference center on HIV/AIDS management in Fortaleza, Ceará.

METHOD

This descriptive study reviewed all prescription forms of antiretroviral regimens initiation and changes from January to July 2014. All antiretroviral regimen changes that occurred during the first year of therapy were evaluated. Data were analyzed with SPSS version 20. Mean, standard deviation and frequency, Student's t and Mann-Whitney tests calculations were used, with significance at p<0.05.

RESULTS

From 527 patients initiating HAART, 16.5% (n=87) had a regimen change in the first year. These patients were mostly male (59.8%; n=52), aged 20 to 39 years, with only one HAART change (72.4%; n=63). Efavirenz was the most often changed drug, followed by tenofovir, zidovudine and lopinavir/ritonavir. Mean time of HAART changes was 120 days, with adverse reactions as the most prevalent cause. HAART was effective in decreasing viral load since second month of treatment (p=0.003) and increasing LTCD4 lymphocytes since fifth month (p<0.001).

CONCLUSION

The main cause of initial HAART changes was adverse reaction and most patients had only one change in the HAART regimen. HAART prescription was in accordance to the PCDT from 2013.

Time to immunologic recovery and determinant factors among adults who initiated ART in Felege Hiwot Referral Hospital, northwest Ethiopia

Background

CD4 cells are the major targets for human immunodeficiency virus (HIV) and treatment with Antiretroviral Therapy (ART) influences the CD4 cell count of HIV patients. In addition to ART, the time required to reach normal range of CD4 counts (500 cells/mm³) can be affected by clinical, socio-demographic, and behavioral factors. This retrospective cohort study was conducted to determine the incidence of having the normal range of CD4 cell counts and factors that affect the time required to reach this normal range among adult HIV patients who initiated into ART.

Methods

Data of 4 years were retrospectively retrieved from routinely registered characteristics of 937 ART users enrolled in 2010. Survival time until immunologic recovery and its determinant factors were examined using the frailty model with different parametric distributions alternatively.

Results

Most (80.8%) of the ART attendants had CD4 cell count of 200 cells/mm³ or less at initiation. The overall incidence rate of immunologic recovery was 12.67 persons per 1000 person-months (95% CI 11.30, 14.20). The dependency of frailties of immunologic recovery by residence was statistically significant (Theta = 0.05, p value = 0.006). Baseline age (Adjusted Hazard Ratio (AHR) = 0.98, 95% CI 0.97, 0.99), baseline CD4 count (AHR = 1.006, 95% CI 1.005, 1.008), and female sex (AHR = 1.34, 95% CI 1.03, 1.73) were significantly associated with shorter survival time for immunologic recovery.

Conclusion

Higher baseline CD4 count, lower baseline age, and female sex were positively associated with the time to immunologic recovery, which also dependent on proximity/residence of ART users. Therefore, further scale up of ART services with due emphasis to patients with low CD4 count at baseline particularly for male and older ART users are recommended to reach the normal range of CD4 count in a shorter time of treatment.

Trend of CD4+ Cell Counts at Diagnosis and Initiation of Highly Active Antiretroviral Therapy (HAART): Korea HIV/AIDS Cohort Study, 1992-2015

Background

CD4+ cell counts reflect immunologic status of human immunodeficiency virus (HIV) patients. Recommended CD4+ cell counts for the initiation of highly active antiretroviral therapy (HAART) has increased over the past several years in various HIV treatment guidelines. We investigated the trend of CD4+ cell counts at diagnosis and treatment start using data from the Korea HIV/acquired immune deficiency syndrome (AIDS) Cohort Study.

Materials and Methods

The Korea HIV/AIDS Cohort Study started in 2006 and enrolled HIV patients from 21 tertiary and secondary hospitals in South Korea. The data for CD4+ cell counts at diagnosis and HAART initiation from these HIV patients were analyzed by three-year time intervals and presented by number of CD4+ cells (≤100, 101-200, 201-350, 351-500 and >500 cells/mm³). The HIV-RNA titer at diagnosis and HAART initiation were presented by 3-year intervals by groups ≤50,000, 50,001-100,000, 100,001-200,000, 200,001-1,000,000, and >1,000,000 copies/mL.

Results

Median values of CD4+ cell count and HIV-RNA titer at initial HIV diagnosis were 247 cells/mm³ and 394,955 copies/mL, respectively. At time of initiating HAART, median values of CD4+ cell count and HIV-RNA were 181 cells/mm³ and 83,500 copies/mL, respectively. Patients with low CD4+ cell count (CD4+ cell count ≤200 cells/mm³) at diagnosis (31-51%) and initiation of HAART accounted for the largest proportion (30-65%) over the three-year time intervals. This proportion increased until 2010-2012.

Conclusion

CD4+ cell count at initiation of HAART was found to be very low, and the increase in late initiation of HAART in recent years is of concern. We think that this increase is primarily due to an increasing proportion of late presenters. We recommend early detection of HIV patients and earlier start of HAART in order to treat and prevent spread of HIV infection.

Trends in CD4 cell count response to first-line antiretroviral treatment in HIV-positive patients from Asia, 2003-2013: TREAT Asia HIV Observational Database Low Intensity Transfer

Antiretroviral treatment (ART) guidelines have changed over the past decade, recommending earlier initiation and more tolerable regimens. The study objective was to examine the CD4 response to ART, depending on the year of ART initiation, in HIV-positive patients in the Asia-Pacific. We included HIV-positive adult patients who initiated ART between 2003 and 2013 in our regional cohort from eight urban referral centres in seven countries within Asia. We used mixed-effects linear regression models to evaluate differences in CD4 response by year of ART initiation during 36 months of follow-up, adjusted a priori for other covariates. Overall, 16,962 patients were included. Patients initiating in 2006-9 and 2010-13 had an estimated mean CD4 cell count increase of 8 and 15 cells/µl, respectively, at any given time during the 36-month follow-up, compared to those in 2003-5. The median CD4 cell count at ART initiation also increased from 96 cells/µl in 2003-5 to 173 cells/µl in 2010-13. Our results suggest that the CD4 response to ART is modestly higher for those initiating ART in more recent years. Moreover, fewer patients are presenting with lower absolute CD4 cell counts over time. This is likely to reduce their risk of opportunistic infections and future non-AIDS defining cancers.

Joint longitudinal data analysis in detecting determinants of CD4 cell count change and adherence to highly active antiretroviral therapy at Felege Hiwot Teaching and Specialized Hospital, North-west Ethiopia (Amhara Region)

BACKGROUND

Adherence and CD4 cell count change measure the progression of the disease in HIV patients after the commencement of HAART. Lack of information about associated factors on adherence to HAART and CD4 cell count reduction is a challenge for the improvement of cells in HIV positive adults. The main objective of adopting joint modeling was to compare separate and joint models of longitudinal repeated measures in identifying long-term predictors of the two longitudinal outcomes: CD4 cell count and adherence to HAART.

METHODS

A longitudinal retrospective cohort study was conducted to examine the joint predictors of CD4 cell count change and adherence to HAART among HIV adult patients enrolled in the first 10 months of the year 2008 and followed-up to June 2012. Joint model was employed to determine joint predictors of two longitudinal response variables over time. Furthermore, the generalized linear mixed effect model had been used for specification of the marginal distribution, conditional to correlated random effect.

RESULTS

A total of 792 adult HIV patients were studied to analyze the longitudinal joint model study. The result from this investigation revealed that age, weight, baseline CD4 cell count, ownership of cell phone, visiting times, marital status, residence area and level of disclosure of the disease to family members had significantly affected both outcomes. From the two-way interactions, time * owner of cell phone, time * sex, age * sex, age * level of education as well as time * level of education were significant for CD4 cell count change in the longitudinal data analysis. The multivariate joint model with linear predictor indicates that CD4 cell count change was positively correlated (p ≤ 0.0001) with adherence to HAART. Hence, as adherence to HAART increased, CD4 cell count also increased; and those patients who had significant CD4 cell count change at each visiting time had been encouraged to be good adherents.

CONCLUSION

Joint model analysis was more parsimonious as compared to separate analysis, as it reduces type I error and subject-specific analysis improved its model fit. The joint model operates multivariate analysis simultaneously; and it has great power in parameter estimation. Developing joint model helps validate the observed correlation between the outcomes that have emerged from the association of intercepts. There should be a special attention and intervention for HIV positive adults, especially for those who had poor adherence and with low CD4 cell count change. The intervention may be important for pre-treatment counseling and awareness creation. The study also identified a group of patients who were with maximum risk of CD4 cell count change. It is suggested that this group of patients needs high intervention for counseling.

Comparing longitudinal CD4 responses to cART among non-perinatally HIV-infected youth versus adults: Results from the HIVRN Cohort

BACKGROUND

Youth have residual thymic tissue and potentially greater capacity for immune reconstitution than adults after initiation of combination antiretroviral therapy (cART). However, youth face behavioral and psychosocial challenges that may make them more likely than adults to delay ART initiation and less likely to attain similar CD4 outcomes after initiating cART. This study compared CD4 outcomes over time following cART initiation between ART-naïve non-perinatally HIV-infected (nPHIV) youth (13-24 years-old) and adults (≥25-44 years-old).

METHODS

Retrospective analysis of ART-naïve nPHIV individuals 13-44 years-old, who initiated their first cART between 2008 and 2011 at clinical sites in the HIV Research Network. A linear mixed model was used to assess the association between CD4 levels after cART initiation and age (13-24, 25-34, 35-44 years), accounting for random variation within participants and between sites, and adjusting for key variables including gender, race/ethnicity, viral load, gaps in care (defined as > 365 days between CD4 tests), and CD4 levels prior to cART initiation (baseline CD4).

RESULTS

Among 2,595 individuals (435 youth; 2,160 adults), the median follow-up after cART initiation was 179 weeks (IQR 92-249). Baseline CD4 was higher for youth (320 cells/mm3) than for ages 25-34 (293) or 35-44 (258). At 239 weeks after cART initiation, median unadjusted CD4 was higher for youth than adults (576 vs. 539 and 476 cells/mm3, respectively), but this difference was not significant when baseline CD4 was controlled. Compared to those with baseline CD4 ≤200 cells/mm3, individuals with baseline CD4 of 201-500 and >500 cells/mm3 had greater predicted CD4 levels: 390, 607, and 831, respectively. Additionally, having no gaps in care and higher viral load were associated with better CD4 outcomes.

CONCLUSIONS

Despite having residual thymic tissue, youth attain similar, not superior, CD4 gains as adults. Early ART initiation with minimal delay is as essential to optimizing outcomes for youth as it is for their adult counterparts.

Quasi-Poisson versus negative binomial regression models in identifying factors affecting initial CD4 cell count change due to antiretroviral therapy administered to HIV-positive adults in North-West Ethiopia (Amhara region)

Background

CD4 cells are a type of white blood cells that plays a significant role in protecting humans from infectious diseases. Lack of information on associated factors on CD4 cell count reduction is an obstacle for improvement of cells in HIV positive adults. Therefore, the main objective of this study was to investigate baseline factors that could affect initial CD4 cell count change after highly active antiretroviral therapy had been given to adult patients in North West Ethiopia.

Methods

A retrospective cross-sectional study was conducted among 792 HIV positive adult patients who already started antiretroviral therapy for 1 month of therapy. A Chi square test of association was used to assess of predictor covariates on the variable of interest. Data was secondary source and modeled using generalized linear models, especially Quasi-Poisson regression.

Results

The patients’ CD4 cell count changed within a month ranged from 0 to 109 cells/mm³ with a mean of 15.9 cells/mm³ and standard deviation 18.44 cells/mm³. The first month CD4 cell count change was significantly affected by poor adherence to highly active antiretroviral therapy (aRR = 0.506, P value = 2e⁻¹⁶), fair adherence (aRR = 0.592, P value = 0.0120), initial CD4 cell count (aRR = 1.0212, P value = 1.54e⁻¹⁵), low household income (aRR = 0.63, P value = 0.671e⁻¹⁴), middle income (aRR = 0.74, P value = 0.629e⁻¹²), patients without cell phone (aRR = 0.67, P value = 0.615e⁻¹⁶), WHO stage 2 (aRR = 0.91, P value = 0.0078), WHO stage 3 (aRR = 0.91, P value = 0.0058), WHO stage 4 (0876, P value = 0.0214), age (aRR = 0.987, P value = 0.000) and weight (aRR = 1.0216, P value = 3.98e⁻¹⁴).

Conclusions

Adherence to antiretroviral therapy, initial CD4 cell count, household income, WHO stages, age, weight and owner of cell phone played a major role for the variation of CD4 cell count in our data. Hence, we recommend a close follow-up of patients to adhere the prescribed medication for achievements of CD4 cell count change progression.

Predictors of CD4 count over time among HIV patients initiated ART in Felege Hiwot Referral Hospital, northwest Ethiopia: multilevel analysis

Background

The response of HIV patients to antiretroviral therapy could be measured by its strong predictor, the CD4+ T cell (CD4) count for the initiation of antiretroviral therapy and proper management of disease progress. However, in addition to HIV, there are other factors which can influence the CD4 cell count. Patient’s socio-economic, demographic, and behavioral variables, accessibility, duration of treatment etc., can be used to predict CD4 count.

Methods

A retrospective cohort study was conducted to examine the predictors of CD4 count among ART users enrolled in the first 6 months of 2010 and followed upto mid 2014. The covariance components model was employed to determine the predictors of CD4 count over time.

Results

A total of 1196 ART attendants were used to analyze their data descriptively. Eight hundred sixty-one of the attendants had two or more CD4 count measurements and were used in modeling their data using the linear mixed method. Thus, the mean rates of incensement of CD4 counts for patients with ambulatory/bedridden and working baseline functional status were 17.4 and 30.6 cells/mm³ per year, respectively. After adjusting for other variables, for each additional baseline CD4 count, the gain in CD4 count during treatment was 0.818 cells/mm³ (p value <0.001). Patient’s age and baseline functional status were also statistically significantly associated with CD4 count.

Conclusion

In this study, higher baseline CD4 count, younger age, working functional status, and time in treatment contributed positively to the increment of the CD4 count. However, the observed increment at 4 year was unsatisfactory as the proportion of ART users who reached the normal range of CD4 count was very low. To see their long term treatment outcome, it requires further research with a sufficiently longer follow up data. In line with this, the local CD4 count for HIV negative persons should also be investigated for better comparison and proper disease management.

Estimated Costs for Delivery of HIV Antiretroviral Therapy to Individuals with CD4+ T-Cell Counts >350 cells/uL in Rural Uganda

Background

Evidence favoring earlier HIV ART initiation at high CD4+ T-cell counts (CD4>350/uL) has grown, and guidelines now recommend earlier HIV treatment. However, the cost of providing ART to individuals with CD4>350 in Sub-Saharan Africa has not been well estimated. This remains a major barrier to optimal global cost projections for accelerating the scale-up of ART. Our objective was to compute costs of ART delivery to high CD4+count individuals in a typical rural Ugandan health center-based HIV clinic, and use these data to construct scenarios of efficient ART scale-up.

Methods

Within a clinical study evaluating streamlined ART delivery to 197 individuals with CD4+ cell counts >350 cells/uL (EARLI Study: NCT01479634) in Mbarara, Uganda, we performed a micro-costing analysis of administrative records, ART prices, and time-and-motion analysis of staff work patterns. We computed observed per-person-per-year (ppy) costs, and constructed models estimating costs under several increasingly efficient ART scale-up scenarios using local salaries, lowest drug prices, optimized patient loads, and inclusion of viral load (VL) testing.

Findings

Among 197 individuals enrolled in the EARLI Study, median pre-ART CD4+ cell count was 569/uL (IQR 451–716). Observed ART delivery cost was $628 ppy at steady state. Models using local salaries and only core laboratory tests estimated costs of $529/$445 ppy (+/-VL testing, respectively). Models with lower salaries, lowest ART prices, and optimized healthcare worker schedules reduced costs by $100–200 ppy. Costs in a maximally efficient scale-up model were $320/$236 ppy (+/- VL testing). This included $39 for personnel, $106 for ART, $130/$46 for laboratory tests, and $46 for administrative/other costs. A key limitation of this study is its derivation and extrapolation of costs from one large rural treatment program of high CD4+ count individuals.

Conclusions

In a Ugandan HIV clinic, ART delivery costs—including VL testing—for individuals with CD4>350 were similar to estimates from high-efficiency programs. In higher efficiency scale-up models, costs were substantially lower. These favorable costs may be achieved because high CD4+ count patients are often asymptomatic, facilitating more efficient streamlined ART delivery. Our work provides a framework for calculating costs of efficient ART scale-up models using accessible data from specific programs and regions.

Pattern and predictors of immunologic recovery in HIV infected patients

Background

Although anti-retroviral therapy has generally improved the survival of HIV infected patients in many developing countries including Ghana, specific socio-demographic factors could still influence outcome of treatment. This study was designed to identify patient-specific factors that could influence the immune recovery of absolute CD4 count in HIV infected patients.

Findings

Hospital records were extracted from two health facilities in Ghana. The impact of socio-demographic factors type of ART and baseline category of CD4 counts were assessed at six monthly interval using robust linear mixed models.

Results

A total of 214 follow up records were reviewed at Komfo Anokye Teaching Hospital (KATH) and the Kumasi South Hospital (KSH). One hundred (46.7 %) were from KATH and 114 (53.3 %) were from KSH. There was a general increase in the level of CD4 counts with time, however this increase significantly slowed down with subsequent reviews (p < 0.001). On the average the rate of CD4 count recovery slowed down by 43.6 cells/µl for every 6 months of follow up (SE = 7.69; p < 0.001). Similarly the recovery of CD4 counts in subjects with an initial high baseline CD4 counts decreased by 192.6 cells/µl (SD error = 42.3, p value ≤0.001). All other variables were not significantly associated with recovery of CD4 counts.

Conclusion

Our study has demonstrated the well-known phenomenon of CD4 counts increasing after administration of ARTs. CD4 counts increased more rapidly in those with relatively lower initial counts, catching up with those with high CD4 count by 2 years post treatment.