Prioritizing CD4 count monitoring in response to ART in resource-constrained settings: a retrospective application of prediction-based classification

Immunologic and Clinical Failure of Antiretroviral Therapy in People Living with Human Immunodeficiency Virus within Two Years of Treatment

Background

Early initiation of highly active antiretroviral therapy (HAART) decreases human immunodeficiency virus- (HIV-) related complications, restores patients' immunity, decreases viral load, and substantially improves quality of life. However, antiretroviral treatment failure considerably impedes the merits of HAART.

Objective

This study is aimed at determining the prevalence of immunologic and clinical antiretroviral treatment failure.

Methods

A cross-sectional study design using clinical and immunologic treatment failure definition was used to conduct the study. Sociodemographic characteristics and clinical features of patients were retrieved from patients' medical registry between the years 2009 and 2015. All patients who fulfilled the inclusion criteria in the study period were studied. Predictors of treatment failure were identified using Kaplan-Meier curves and multivariable Cox regression analysis. Data analysis was done using SPSS version 21 software, and the level of statistical significance was declared at a p value < 0.05.

Results

A total of 770 were studied. The prevalence of treatment failure was 4.5%. The AZT-based regimen (AHR = 16.95, 95% CI: 3.02-95.1, p = 0.001), baseline CD4 count ≥ 301 (AHR = 0.199, 95% CI: 0.05-0.76, p = 0.018), and bedridden during HAART initiation (AHR = 0.131, 95% CI: 0.029-0.596, p = 0.009) were the predictors of treatment failure.

Conclusion

The prevalence of treatment failure was lower with the risk being higher among patients on the AZT-based regimen. On the other hand, the risk of treatment failure was lower among patients who started HAART at baseline CD4 count ≥ 301 and patients who were bedridden during HAART initiation. We recommend further prospective, multicenter cohort studies to be conducted to precisely detect the prevalence of treatment failure using viral load determination in the whole country.

Predicción temporal de CD4+ en 80 pacientes con manejo antirretroviral a partir de valores de leucocitos

Objetivo: establecer una metodología predictiva de aplicación clínica de recuentos de CD4+ en rangos de interés clínico a partir del recuento absoluto de leucocitos.Metodología: a partir de los valores secuenciales de leucocitos y linfocitos CD4+ de 9 pacientes, se observaron patrones matemáticos que posteriormente fueronaplicados en un estudio ciego con 71 casos para confirmar su capacidad predictiva, midiendo porcentajes de especificidad y sensibilidad. Resultados: se determinaron cinco patrones matemáticos que predicen en el 99% de los casos los distintos recuentos de CD4+ a partir de recuentos de leucocitos con valores de especificidad y sensibilidad del 99%. Conclusiones: los patrones matemáticos encontrados entre recuento de leucocitos y CD4+ sugieren que este fenómeno prácticamente es determinista.

The effect of tuberculosis on immune reconstitution among HIV patients on highly active antiretroviral therapy in Adigrat general hospital, eastern Tigrai, Ethiopia; 2019: a retrospective follow up study

Background

Ethiopia initiated antiretroviral therapy early in 2005. Managing and detecting antiretroviral treatment response is important to monitor the effectiveness of medication and possible drug switching for low immune reconstitution. There is less recovery of CD4+ T cells among human immunodeficiency virus patients infected with tuberculosis. Hence, we aimed to assess the effect of tuberculosis and other determinant factors of immunological response among human immunodeficiency virus patients on highly active antiretroviral therapy. A retrospective follow up study was conducted from October to July 2019. A total of 393 participants were enrolled. An interviewer based questionnaire was used for data collection. Patient charts were used to extract clinical data and follow up results of the CD4+ T cell. Current CD4+ T cell counts of patients were performed. STATA 13 software was used to analyze the data. A p-value ≤0.05 was considered a statistically significant association.

Results

The mean age of study participants was 39.2 years (SD: + 12.2 years) with 8.32 mean years of follow up. The overall prevalence of immune reconstitution failure was 24.7% (97/393). Highest failure rate occurred within the first year of follow up time, 15.7 per 100 Person-year. Failure of CD4+ T cells reconstitution was higher among tuberculosis coinfected patients (48.8%) than mono-infected patients (13.7%). Living in an urban residence, baseline CD4+ T cell count ≤250 cells/mm³, poor treatment adherence and tuberculosis infection were significantly associated with the immunological failure.

Conclusions

There was a high rate of CD4+ T cells reconstitution failure among our study participants. Tuberculosis infection increased the rate of failure. Factors like low CD4+ T cell baseline count, poor adherence and urban residence were associated with the immunological failure. There should be strict monitoring of CD4+ T cell counts among individuals with tuberculosis coinfection.

Prevalence and Predictors of Immunological Failure among HIV Patients on HAART in Southern Ethiopia

Immunological monitoring is part of the standard of care for patients on antiretroviral treatment. Yet, little is known about the routine implementation of immunological laboratory monitoring and utilization in clinical care in Ethiopia. This study assessed the pattern of immunological monitoring, immunological response, level of immunological treatment failure and factors related to it among patients on antiretroviral therapy in selected hospitals in southern Ethiopia. A retrospective longitudinal analytic study was conducted using documents of patients started on antiretroviral therapy. Adequacy of timely immunological monitoring was assessed every six months the first year and every one year thereafter. Immunological response was assessed every six months at cohort level. Immunological failure was based on the criteria: fall of follow-up CD4 cell count to baseline (or below), or CD4 levels persisting below 100 cells/mm3, or 50% fall from on-treatment peak value. A total of 1,321 documents of patients reviewed revealed timely immunological monitoring were inadequate. There was adequate immunological response, with pediatric patients, females, those with less advanced illness (baseline WHO Stage I or II) and those with higher baseline CD4 cell count found to have better immunological recovery. Thirty-nine patients (3%) were not evaluated for immunological failure because they had frequent treatment interruption. Despite overall adequate immunological response at group level, the prevalence of those who ever experienced immunological failure was 17.6% (n=226), while after subsequent re-evaluation it dropped to 11.5% (n=147). Having WHO Stage III/IV of the disease or a higher CD4 cell count at baseline was identified as a risk for immunological failure. Few patients with confirmed failure were switched to second line therapy. These findings highlight the magnitude of the problem of immunological failure and the gap in management. Prioritizing care for high risk patients may help in effective utilization of meager resources.

CD4 criteria improves the sensitivity of a clinical algorithm developed to identify viral failure in HIV-positive patients on antiretroviral therapy

INTRODUCTION

Several studies from resource-limited settings have demonstrated that clinical and immunologic criteria are poor predictors of virologic failure, confirming the need for viral load monitoring or at least an algorithm to target viral load testing. We used data from an electronic patient management system to develop an algorithm to identify patients at risk of viral failure using a combination of accessible and inexpensive markers.

METHODS

We analyzed data from HIV-positive adults initiated on antiretroviral therapy (ART) in Johannesburg, South Africa, between April 2004 and February 2010. Viral failure was defined as ≥ 2 consecutive HIV-RNA viral loads >400 copies/ml following suppression ≤ 400 copies/ml. We used Cox-proportional hazards models to calculate hazard ratios (HR) and 95% confidence intervals (CI). Weights for each predictor associated with virologic failure were created as the sum of the natural logarithm of the adjusted HR and dichotomized with the optimal cut-off at the point with the highest sensitivity and specificity (i.e. ≤ 4 vs. >4). We assessed the diagnostic accuracy of predictor scores cut-offs, with and without CD4 criteria (CD4 <100 cells/mm(3); CD4 < baseline; >30% drop in CD4), by calculating the proportion with the outcome and the observed sensitivity, specificity, positive and negative predictive value of the predictor score compared to the gold standard of virologic failure.

RESULTS

We matched 919 patients with virologic failure (1:3) to 2756 patients without. Our predictor score included variables at ART initiation (i.e. gender, age, CD4 count <100 cells/mm(3), WHO stage III/IV and albumin) and laboratory and clinical follow-up data (drop in haemoglobin, mean cell volume (MCV) <100 fl, CD4 count <200 cells/mm(3), new or recurrent WHO stage III/IV condition, diagnosis of new condition or symptom and regimen change). Overall, 51.4% had a score 51.4% had a score ≥ 4 and 48.6% had a score <4. A predictor score including CD4 criteria performed better than a score without CD4 criteria and better than WHO clinico-immunological criteria or WHO clinical staging to predict virologic failure (sensitivity 57.1% vs. 40.9%, 25.2% and 20.9%, respectively).

CONCLUSIONS

Predictor scores or risk categories, with CD4 criteria, could be used to identify patients at risk of virologic failure in resource-limited settings so that these patients may be targeted for focused interventions to improve HIV treatment outcomes.