Misdiagnosis of HIV treatment failure based on clinical and immunological criteria in Eastern and Central Kenya

Incidence and predictors of virological failure among HIV infected children and adolescents on first-line antiretroviral therapy in East Shewa hospitals, Oromia Region, Ethiopia: A retrospective follow up study

INTRODUCTION

Despite gains made from improved antiretroviral therapy coverage in resource limited countries, the occurrence of first line drug resistance remains a priority agenda. To reduce the emergence of resistant viruses, HIV viral load monitoring plays a critical role. However, many resource limited countries have difficulty of monitoring viral load due to economic constraints.There is also limited study regarding viral failure in developing countries. Therefore, this study aimed to assess the incidence and predictors of virological failure among HIV-infected children and adolescents on first-line ART Ethiopia, 2021.

METHODS

Institution based retrospective follow-up study was employed on 492 children and adolescents. Data were collected by trained nurses who have experience working in ART clinics. Data were entered using Epi-data version 4.6 and exported to Stata version 14 for analysis. The proportional hazard assumption was checked, and the Weibull regression was fitted. Cox-Snell residual was used to test the goodness of fit, and the appropriate model was selected by AIC. Finally, an AHR with a 95% CI was computed, and variables with a P-value < 0.05 in the multivariable analysis were taken as significant predictors of virological failure.

RESULTS

The overall incidence rate of virological failure was 4.2, (95% CI: 3.41, 5.22) per 1000 person-months of observation with 20,169 person-months follow-up time. In multivariable analysis living in rural area (AHR = 1.97, 95% CI: 1.15-3.36), poor adherence (AHR = 2.20, 95% CI: 1.24-3.91), lower CD4 Count <200 cells/mm3 (AHR = 2.57, 95% CI: 1.27-5.18) and 201-350 cells/mm3 (AHR = 2.44, 95% CI: 1.28-4.67) respectively, and recent OI (AHR = 4.60, 95% CI: 2.38-8.90) are significantly associated with virological failure.

CONCLUSION

The incidence rate of virological failure was high. Living in a rural, poor adherence, lower CD4 count, and recent opportunistic infection were independent risk factors associated with virological failure. Hence, it is better to give priority to strengthening the focused evaluation of important variables and managing accordingly.

Disengagement From HIV Care and Failure of Second-Line Therapy in Nigeria: A Retrospective Cohort Study, 2005-2017

BACKGROUND

Understanding the correlates of disengagement from HIV care and treatment failure during second-line antiretroviral therapy (ART) could inform interventions to improve clinical outcomes among people living with HIV (PLHIV).

METHODS

We conducted a retrospective cohort study of PLHIV aged >15 years who started second-line ART at a tertiary center in Nigeria between 2005 and 2017. Participants were considered to have disengaged from care if they had not returned within a year after each clinic visit. Cox proportional hazard models were used to investigate factors associated with: (1) viral failure (HIV-1 RNA >1000 copies/mL), (2) immunologic failure (CD4 count decrease or <100 cells/mm3), and (3) severe weight loss (>10% of bodyweight), after >6 months of second-line ART.

RESULTS

Among 1031 participants, 33% (341) disengaged from care during a median follow-up of 6.9 years (interquartile range 3.7-8.5). Of these, 26% (89/341) subsequently reentered care. Disengagement was associated with male gender, age <30 years, lower education level, and low CD4 count at second-line ART initiation. Among participants with endpoint assessments available, 20% (112/565) experienced viral failure, 32% (257/809) experienced immunologic failure, and 23% (190/831) experienced weight loss. A lower risk of viral failure was associated with professional occupations compared with elementary: adjusted hazard ratio 0.17 (95% confidence interval 0.04 to 0.70).

CONCLUSION

Adverse outcomes were common during second-line ART. However, reengagement is possible and resources should be allocated to focus on retaining PLHIV in care and providing services to trace and reengage those who have disengaged from care.

Men missing from the HIV care continuum in sub-Saharan Africa: a meta-analysis and meta-synthesis

INTRODUCTION

Men are missing along the HIV care continuum. However, the estimated proportions of men in sub-Saharan Africa meeting the UNAIDS 95-95-95 goals vary substantially between studies. We sought to estimate proportions of men meeting each of the 95-95-95 goals across studies in sub-Saharan Africa, describe heterogeneity, and summarize qualitative evidence on factors influencing care engagement.

METHODS

We systematically searched PubMed and Embase for peer-reviewed articles published between 1 January 2014 and 16 October 2020. We included studies involving men ≥15 years old, with data from 2009 onward, reporting on at least one 95-95-95 goal in sub-Saharan Africa. We estimated pooled proportions of men meeting these goals using DerSimonion-Laird random effects models, stratifying by study population (e.g. studies focusing exclusively on men who have sex with men vs. studies that did not), facility setting (healthcare vs. community site), region (eastern/southern Africa vs. western/central Africa), outcome measurement (e.g. threshold for viral load suppression), median year of data collection (before vs. during or after 2017) and quality criteria. Data from qualitative studies exploring barriers to men's HIV care engagement were summarized using meta-synthesis.

RESULTS AND DISCUSSION

We screened 14,896 studies and included 129 studies in the meta-analysis, compiling data over the data collection period. Forty-seven studies reported data on knowledge of serostatus, 43 studies reported on antiretroviral therapy use and 74 studies reported on viral suppression. Approximately half of men with HIV reported not knowing their status (0.49 [95% CI, 0.41-0.58; range, 0.09-0.97]) or not being on treatment (0.58 [95% CI, 0.51-0.65; range, 0.07-0.97]), while over three-quarters of men achieved viral suppression on treatment (0.79 [95% CI, 0.77-0.81; range, 0.39-0.97]. Heterogeneity was high, with variation in estimates across study populations, settings and outcomes. The meta-synthesis of 40 studies identified three primary domains in which men described risks associated with engagement in HIV care: perceived social norms, health system challenges and poverty.

CONCLUSIONS

Psychosocial and systems-level interventions that change men's perceptions of social norms, improve trust in and accessibility of the health system, and address costs of accessing care are needed to better engage men, especially in HIV testing and treatment.

Drug resistance profiles and influencing factors among HIV-infected children and adolescents receiving long-term ART: a multicentre observational study in China

OBJECTIVES

To analyse the characteristics and determinants of drug resistance mutations (DRMs) in HIV-infected children and adolescents on long-term ART in China.

METHODS

An observational cohort study was conducted in five centres. All participants younger than 15 years at ART initiation were screened, and those identified as having virological failure (VF) with viral load (VL) ≥ 400 copies/mL were included for genotypic resistance testing. Logistic regression analysis was performed and the accumulation of major mutations was analysed in a subgroup of resistant individuals with complete VL results since HIV diagnosis.

RESULTS

Among 562 eligible participants, protease and RT regions were successfully amplified for 93 who failed treatment with a median of 10.0 years ART. Sixty-eight (73.1%) harboured ≥1 major mutations. NRTI, NNRTI and dual-class resistance accounted for 48.4%, 63.4% and 38.7%, respectively. Only 3.2% were resistant to PIs. Age at ART initiation [adjusted OR (aOR) = 0.813, 95% CI 0.690-0.957], subtype B (aOR = 4.378, 95% CI 1.414-13.560) and an initial NNRTI-based regimen (aOR = 3.331, 95% CI 1.180-9.402) were independently associated with DRMs. Among 40 resistant participants with additional VL data, 55.0% had continued VF on a suboptimal regimen and the estimated duration of VF was positively correlated with the total number of major mutations (r = 0.504, P = 0.001).

CONCLUSIONS

The development of DRMs was common in children and adolescents receiving long-term treatment, and continued VF was prevalent in those with resistance. Timely genotypic testing and new child-friendly formulations are therefore urgently required.

Determinants of first-line antiretroviral treatment failure among adult HIV patients at Nekemte Specialized Hospital, Western Ethiopia: Unmatched case-control study

OBJECTIVE

In Ethiopia, only a few studies were conducted to determine factors contributing to antiretroviral treatment failure, in general, and there are no published data in the study area, in particular. Thus, the aim of the study was to assess the determinants of first-line treatment failure among adult HIV patients on antiretroviral treatment at Nekemte Specialized Hospital, western Ethiopia.

METHODS

The hospital-based 1:2 unmatched case-control study was conducted in Nekemte Specialized Hospital from 1 August to 30 September, 2019, on 252 HIV-positive patients receiving antiretroviral treatment (86 cases and 166 controls). Cases were selected from patients who were switched to second-line antiretroviral treatment regimen after first-line antiretroviral treatment failure. Controls were from those who are on the first-line antiretroviral regimens for at least 6 months. Data were collected by two trained clinical nurses. Record review and an interviewer-administered questionnaire were used to collect data. Data were entered into Epi-Data, version 7.2.2, and then exported to SPSS, version 25, for analysis. The association between treatment failure and each covariate was assessed by bivariate analysis to identify candidate variables at p value < 0.25. All candidate variables were entered into multivariate analysis done in stepwise backward likelihood ratio to declare statistical significance association at p value < 0.05, 95% confidence interval.

RESULTS

Data from a total of 252 (86 cases and 166 controls) patients were extracted at a response rate of 98.4%. Statistically higher odds of first-line treatment failure were observed among those who started treatment at an advanced stage (Baseline World Health Organization stage 3 o r4 (adjusted odds ratio = 3.12, 95% confidence interval: 1.55-6.26), lower Baseline CD4 count < 100 cells (adjusted odds ratio = 3.06, 95 % confidence interval: 1.45-6.50), lack of participation in a support group (adjusted odds ratio = 4.03, 95% confidence interval: 1.98-8.21), history of antiretroviral treatment discontinuation for greater than 1 month (adjusted odds ratio = 2.36, 95% confidence interval: 1.17-4.78) and poor adherence to antiretroviral treatment (adjusted odds ratio = 3.09, 95% confidence interval: 1.54-6.19).

CONCLUSION

Antiretroviral treatment initiation at an advanced stage, lower CD4 count, no participation in a support group, and poor adherence were determinants of treatment first-line antiretroviral treatment failure. Therefore, health care providers and program developers should give special attention to; early diagnosis and start of treatment, encouraging patients to participate in a support group, trace patients early, and attentively follow patients to improve their adherence to antiretroviral treatment.

High turnaround times and low viral resuppression rates after reinforced adherence counselling following a confirmed virological failure diagnostic algorithm in HIV-infected patients on first-line antiretroviral therapy from Tanzania

OBJECTIVE

Early identification of confirmed virological failure is paramount to avoid accumulation of drug resistance in patients on antiretroviral therapy (ART). Scale-up of HIV-RNA monitoring in Africa and timely switch to second-line regimens are challenged.

METHODS

A WHO adapted confirmed virological treatment screening algorithm (HIV-RNA screening, enhanced adherence counselling, confirmatory HIV-RNA testing) was evaluated in HIV-infected patients on first-line ART from Tanzania. The main endpoints included viral resuppression and virological failure rates, retention and turnaround time of the screening algorithm until second-line ART initiation. Secondary endpoints included risk factors for virological treatment failure and patterns of genotypic drug resistance.

RESULTS

HIV-RNA >1000 copies/ml at first screening was detected in 58/356 (16.3%) patients (median time-on-treatment 6.3 years, 25% immunological treatment failure). Adjusted risk factors for virological failure were age <30 years (RR 5.2 [95% CI: 2.5-10.8]), years on ART ≥3 years (RR 3.0 [1.0-8.9]), CD4-counts <200 cells/µl (RR 9.3 [4.0-21.8]) and poor self-reported treatment adherence (RR 2.0 [1.2-3.4]). Resuppression of HIV-RNA <1000 copies/ml was observed in 5/50 (10%) cases after enhanced adherence counselling. Confirmatory testing within 3 months was performed in only 46.6% and switch to second-line ART within 6 months in 60.4% of patients. Major NNRTI-mutation were detected in all of 30 patients, NRTI mutations in 96.7% and ≥3 thymidine-analogue mutations in 40%. No remaining NRTI options were predicted in 57% and limited susceptibility in 23% of patients.

CONCLUSION

We observed low levels of viral resuppression following adherence counselling, associated with high levels of accumulated drug resistance. High visit burden and turnaround times for confirmed virological failure diagnosis further delayed switching to second-line treatment which could be improved using novel point-of-care viral load monitoring systems.

Second-line HIV treatment failure in sub-Saharan Africa: A systematic review and meta-analysis

BACKGROUND

Increased second-line antiretroviral therapy (ART) failure rate narrows future options for HIV/AIDS treatment. It has critical implications in resource-limited settings; including sub-Saharan Africa (SSA) where the burden of HIV-infection is immense. Hence, pooled estimate for second-line HIV treatment failure is relevant to suggest valid recommendations that optimize ART outcomes in SSA.

METHODS

We retrieved literature systematically from PUBMED/MEDLINE, EMBASE, CINAHL, Google Scholar, and AJOL. The retrieved studies were screened and assessed for eligibility. We also assessed the eligible studies for their methodological quality using the Joanna Briggs Institute's appraisal checklist. The pooled estimates for second-line HIV treatment failure and its associated factors were determined using STATA, version 15.0 and MEDCALC, version 18.11.3, respectively. We assessed publication bias using Comprehensive Meta-analysis software, version 3. Detailed study protocol for this review/meta-analysis is registered and found on PROSPERO (ID: CRD42018118959).

RESULTS

A total of 33 studies with the overall 18,550 participants and 19,988.45 person-years (PYs) of follow-up were included in the review. The pooled second-line HIV treatment failure rate was 15.0 per 100 PYs (95% CI: 13.0-18.0). It was slightly higher at 12-18 months of follow-up (19.0/100 PYs; 95% CI: 15.0-22.0), in children (19.0/100 PYs; 95% CI: 14.0-23.0) and in southern SSA (18.0/100 PYs; 95% CI: 14.0-23.0). Baseline values (high viral load (OR: 5.67; 95% CI: 13.40-9.45); advanced clinical stage (OR: 3.27; 95% CI: 2.07-5.19); and low CD4 counts (OR: 2.80; 95% CI: 1.83-4.29)) and suboptimal adherence to therapy (OR: 1.92; 95% CI: 1.28-2.86) were the factors associated with increased failure rates.

CONCLUSION

Second-line HIV treatment failure has become highly prevalent in SSA with alarming rates during the 12-18 month period of treatment start; in children; and southern SSA. Therefore, the second-line HIV treatment approach in SSA should critically consider excellent adherence to therapy, aggressive viral load suppression, and rapid immune recovery.

Factors associated with first-line antiretroviral treatment failure in adult HIV-positive patients: a case-control study from Ethiopia

Background

Treatment failure has become a significant challenge in patients taking antiretroviral therapy (ART). The aim of the present study was to identify risk factors for first-line ART failure among patients attending clinical follow-up.

Methods

A 1:2 matched case-control study (by age, sex, and treatment duration since initiated on ART) was conducted from June 2015 to July 2017 on adult patients (aged ≥15 years) who were on ART for at least 6 months. Cases were selected from patients who were switched to second-line ART after first-line ART failure (viral load ≥1000 copies/mL). Controls were randomly selected from patients on first-line ART with viral load < 50 copies/mL. Data were collected using an interview questionnaire, reviewing chart and electronic health records and laboratory tests. Multivariate logistic regression analysis was performed to identify risk factors for treatment failure.

Results

Of the 273 patients who participated in this study, 55% were males. Ninety-one cases were compared with 182 controls. The median age of participants was 40 years and the median duration of treatment since initiated on ART was 69 months. Independent risk factors associated with first-line antiretroviral treatment failure were discontinuation of ART (adjusted odds ratio (AOR) = 9.8, 95% confidence interval (CI): 4.0–23.8), baseline CD4 lymphocyte count ≤50 cells/mm³ (AOR = 3.8, 95% CI: 1.5–9.6) and persistent diarrhea (AOR = 4.4, 95% CI: 1.5–13.2). The risk of ART failure was high and comparable whether the duration of ART discontinuation was greater or less than 1 month (crude odds ratio (COR) = 6.3 and 8. 5 respectively, p-value < 0.001). Frequent eating of a diet containing wheat or barley (AOR = 2.3, 95% CI: 0.9–5.4) showed a trend to be a risk factor for first-line ART failure (p-value = 0.064).

Conclusions

Our findings underscore the importance of avoiding ART discontinuation of any duration, early initiation of ART and diarrhea management to prevent first-line ART failure.

The Effect of Detectable HIV Viral Load among HIV-Infected Children during Antiretroviral Treatment: A Cross-Sectional Study

The RNA viral load of human immunodeficiency virus (HIV) is initially used to determine the status of the HIV infection. The goal of therapy following treatment failure is to achieve and maintain virologic suppression. A detectable viral load may relate to the progression of HIV infection. A cross-sectional survey was conducted from January 2013 to December 2014 at the Bamrasnaradura Infectious Diseases Institute, Thailand. The aim was to determine the prevalence of detectable HIV viral load (dVL) and analyze the factors associated with post-dVL conditions that occur independently of a switch to a new antiretroviral agent. The prevalence of dVL was 27% (27 of 101). The mean ages of dVL and non-dVL children were 12.0 and 12.3 years, respectively. Age, sex, body mass index for age z-scores, previous tuberculosis disease history and parental tuberculosis history of both groups were not significantly different (p > 0.05). The prevalence of poor adherence (<95%), influenza-like illness (ILI) and opportunistic infections were higher in dVL than non-dVL children (p < 0.05). The mean nadir CD4 cell count during the study was lower in dVL than non-dVL children (646 compared to 867, respectively; p < 0.05). Other factors were not significant (all p > 0.05). In multivariable analysis, dVL was significantly associated with ILI (odds ratio (OR) = 9.6, 95% confidence interval (CI) = 1.3–69.4), adherence (OR = 0.195, 95% CI = 0.047–0.811) and nadir CD4 during the study (OR = 1.102, 95% CI = 1.100–1.305). The prevalence of dVL was 27% with this dVL among HIV-infected children found to be associated with ILI, poor adherence and lower nadir CD4 during the study.

High Prevalence of Antibiotic-Resistant Otitis Media-Associated Bacterial Flora of Asymptomatic People Living with HIV at Morogoro Hospital, Tanzania

OBJECTIVES

The study aimed to determine the prevalence of otitis media (OM)-associated bacterial flora of asymptomatic people living with HIV (PLH) on antiretroviral therapy (ART) and assess antibiotic resistance profiles of the bacteria.

METHODOLOGY

Ear secretion specimens were collected by syringe or cotton swabs. Isolated bacteria were subjected to antibiotic sensitivity tests.

RESULTS

Of 290 recruited PLH, 81.7% were females and 18.3% males; their CD4+ counts ranged from 0 to 1770. Staphylococcus aureus, Klebsiella pneumonia, and Escherichia coli were the predominant bacteria. High antibiotic resistance was detected on Streptococcus pyogenes and Streptococcus pneumoniae. The prevalence rate of OM-associated bacteria (OAB) was 93.4%, and majority of the bacteria were resistant to multiple antibiotics. Linear association between the prevalence of OAB with both duration of ART and CD4+ counts was observed.

CONCLUSION

High prevalence rates of OAB and antibiotic resistance were observed. Negative correlation between CD4+ counts and prevalence of OAB was revealed.