Outcomes of second-line combination antiretroviral therapy for HIV-infected patients: a cohort study from Rio de Janeiro, Brazil

Time to Treatment Failure and Its Predictors Among Second-Line ART Clients in Amhara Region, Ethiopia: A Retrospective Follow-Up Study

Background

Second-line antiretroviral treatment failure has become a major public health issue, and the time to treatment failure among second-line ART clients varies globally, and the Sub-Saharan African region having a high rate of second-line ART treatment failures. In addition, after the ART treatment guideline changed there is limited information on Ethiopia. Therefore, this study aimed to assess time to treatment failure and its determinants among second-line ART clients in Amhara Region, Ethiopia.

Methods

A multi-centered retrospective follow-up study was conducted. A random sample of 860 people on second-line ART was selected by using a computer-generated simple random sampling technique from January 30, 2016, to January 30, 2021, at the University of Gondar Compressive Specialized Hospital, Felege Hiwot Compressive Specialized Referral Hospital, and Debre Tabor Compressive Specialized Referral Hospital, in Amhara region, Ethiopia. Data was captured using a checklist.

Results

A total of 81 (9.4%) ART clients developed second-line treatment failure, with a median follow-up time of 29 months with an interquartile range (IQR: 18, 41]. The risk of second-line treatment failure is higher among patients aged 15 to 30 years (adjusted hazard ratio (AHR) = 2.01, 95% confidence interval (CI): [1.16, 3.48]). Being unable to read and write (AHR = 1.312, 95% CI: [1.068, 1.613]), and poor ART drug adherence (AHR = 3.067, 95% CI: [1.845, 5.099]) were significant predictors of second-line ART treatment failures.

Conclusion

In the current study, the time to second-line ART treatment failure was high compared with a previous similar study in Ethiopia. Factors like being younger age, ART clients who are not being able to read and write, and having poor ART drug adherence was significant predictors of second-line ART treatment failure.

Pathways to Poor Adherence to Antiretroviral Therapy Among People Living with HIV: The Role of Food Insecurity and Alcohol Misuse

Daily adherence to antiretroviral therapy (ART) increases the length and quality of life of people living with HIV (PLHIV). We explored whether socioeconomic status directly impacts ART adherence and whether part of the effect is mediated by pathways through alcohol misuse or food insecurity. A cross-sectional study was conducted in Rio de Janeiro/Brazil (November/2019 to March/2020) with PLHIV aged ≥ 18 years. Validated instruments were used to measure alcohol use, food insecurity, and ART adherence. Using structural equation modeling we assessed the direct and indirect effects of variables on ART adherence. Participants reported significant challenges: hunger: 12%, alcohol use: 64%, and missing ART doses: 24%. Results showed that lower socioeconomic status increased poor adherence and that this effect was mediated through higher food insecurity. Alcohol misuse also increased poor adherence through a strong direct effect. Providing socio-economic support coupled with interventions to mitigate alcohol's harmful impact can aid HIV care.

Variability in life expectancy among people with HIV in Brazil by gender and sexual orientation

INTRODUCTION

In Brazil, though Antiretroviral Therapy (ART) is available to all, the benefits may not be experienced uniformly. We projected Life Expectancy (LE) for People Living with HIV (PLHIV) in care as currently observed and estimated the impact of guideline-concordant care.

METHODS

Using a microsimulation model, we projected LE for a cohort of PLHIV and for four population groups: cisgender Men who have Sex with Men (MSM), cisgender Men who have Sex with Women (MSW), Cisgender Women (CGW), and Transgender Women (TGW). Cohort data from Evandro Chagas National Institute of Infectious Diseases/Oswaldo Cruz Foundation (INI/Fiocruz) informed model parameters. We modeled five scenarios: 1) Current care: ART initiation, adherence, and retention in care as currently observed, 2) Guideline-concordant care: immediate ART initiation, full adherence to treatment, and consistent retention in care, 3) Immediate ART initiation with observed adherence to treatment and retention in care, 4) Full adherence to treatment with observed timing of ART initiation and retention in care, and 5) Consistent retention in care with observed timing of ART initiation and adherence.

RESULTS

With current care, LE from age 15 would be 45.9, 44.4, 54.2, and 42.3 years, for MSM, MSW, CGW, and TGW. With guideline-concordant care, LE would be 54.2, 54.4, 63.1, and 53.2 years, for MSM, MSW, CGW and TGW, with TGW experiencing the greatest potential increase in LE (10.9 years). When investigating the components of care separately, MSW and CGW would gain most LE with immediate ART initiation, whereas for MSM and TGW consistent retention in care would be most impactful.

CONCLUSIONS

In settings like INI/Fiocruz, MSW and CGW would benefit most from interventions focused on earlier diagnosis and linkage to care, whereas TGW and MSM would benefit from interventions to sustain engagement in care. Assessment of the HIV care continuum for specific populations should inform care priorities.

Real-world effectiveness of WHO recommended first-line antiretroviral therapies: a cohort study from a middle-income country

We estimate the effectiveness of antiretroviral therapy (ART) among individuals receiving HIV care in Rio de Janeiro, Brazil. Adults (18y+) initiating ART between Jan/2008 and Dec/2018 (follow-up through Dec/2020) were included. First-line ART (two nucleoside reverse transcriptase inhibitors plus one antiretroviral from another class) was categorized into four categories: non-nucleoside reverse transcriptase inhibitor/NNRTI-based, protease inhibitor/PI-based, integrase strand transfer inhibitor/INSTI-based, and single-tablet regimen (STR, Tenofovir 300mg + Lamivudine 300mg + Efavirenz 600mg). Effectiveness (viral load ≤50 copies/µL) was evaluated at 6(3-9) and 12(9-15) months from ART initiation. Bayesian logistic regression models were used to quantify the association between exposure and outcomes while accounting for missing data. Overall, 1863(57%), 652(19.9%), 412(12.6%), and 342(10.5%) individuals used, respectively, NNRTI-based, PI-based, INSTI-based regimens, and STR. Compared to NNRTIs, the odds of viral suppression with INSTI-based regimens was 76% higher (adjusted OR:1.76, 95%CI:1.23-2.51) at six months but no higher at 12 months. Older age, higher education, CD4 count ≥500 cells/mm3 and viral load <100,000 copies/µL at ART initiation increased the odds of viral suppression. Viral suppression at six months was the strongest predictor of viral suppression at 12 months. These results highlight population groups that could benefit from close monitoring during the first year of ART.

Virological failure and its predictors among human immunodeficiency virus infected individuals on second line antiretroviral treatment in North-East Ethiopia, 2021

INTRODUCTION

Acquired immune deficiency syndrome (AIDS) becomes a manageable chronic disease due to the presence of effective prevention, diagnosis, treatment, and care accesses. Viral load cascade analyses are important to identify gaps in human immunodeficiency virus (HIV)/AIDS treatment and care for quality improvements.

OBJECTIVE

Time to Virological Failure and its Predictors among HIV Infected Individuals on Second Line Antiretroviral Treatment (SLART) in North-East Ethiopia, 2021.

METHODS

Institution-based retrospective follow-up study was conducted on 474 HIV-infected individuals who were on SLART between September 2016 and April 2020. A universal sampling technique was used to recruit study participants. Data were entered by EpiData-3.3.1 and analyzed by STATA-14. Cox proportional hazard assumptions were checked to determine the effect of predictor variables on virological failure (VF). The study was conducted from February 1 to April 30, 2021.

RESULTS

The rate of VF in this study was 15.4% with an incidence rate of 4.93 per 100 person-years. As participants' age and duration of ART use increased by 1 year the hazards of VF was reduced by 2.9% (AHR: 0.971, 95% CI: 0.945, 0.995) and 10.6% (AHR: 0.894, 95% CI: 0.828, 0.963), respectively. The hazards of VF were twice higher among those who were on a non-protease inhibitor-based regimen. Individuals who had a history of making enhanced adherence counseling (EAC) sessions during SLART had three times more risk to develop VF (AHR: 3.374, 95% CI: 1.790, 6.361).

CONCLUSION AND RECOMMENDATIONS

The rate of VF among SLART users was high. Keeping SLART users on PI-based regimens may improve virological outcomes in HIV care and treatment. Making EAC sessions effective in promoting better ART adherence might reduce VF.

Causes of HIV Treatment Interruption during the Last 20 Years: A Multi-Cohort Real-Life Study

In the last years, many antiretroviral drugs (ART) have been developed with increased efficacy. Nowadays, the main reasons for treatment switches are adverse events, proactive strategy or simplification. We conducted a retrospective cohort study to investigate the reason for treatment interruption in the last 20 years. We merged data of eight cohorts of the SCOLTA project: lopinavir/r (LPV), atazanavir/r (ATV), darunavir/r or /c (DRV), rilpivirine (RPV), raltegravir (RAL), elvitegravir/c (EVG), dolutegravir (DTG) and bictegravir (BIC). We included 4405 people with HIV (PWH). Overall, 664 (15.1%), 489 (11.1%), and 271 (6.2%) PWH interrupted the treatment in the first, second, and third years after starting a new ART. Looking at the interruption in the first year, the most frequent causes were adverse events (3.8%), loss to follow-up (3.7%), patients’ decisions (2.6%), treatment failure (1.7%), and simplification (1.3%). In the multivariate analysis regarding experienced patients, treatment with LPV, ATV, RPV or EVG/c, having less than 250 CD4 cells/mL, history of intravenous drug use, and HCV positivity were associated with an increased risk of interruption. In naive people, only LPV/r was associated with an increased risk of interruption, while RPV was associated with a lower risk. In conclusion, our data on more than 4400 PWH show that adverse events have represented the most frequent cause of treatment interruptions in the first year of ART (3.84%). Treatment discontinuations were more frequent during the first year of follow-up and decreased thereafter. First-generation PI in both naïve and experienced PWH, and EVG/c, in experienced PWH, were associated with a higher risk of treatment interruptions.

Durability of switched therapy after failure of WHO-recommended antiretroviral therapy regimens in a resource-limited setting

OBJECTIVE

The study investigated the durability of switched therapy and factors associated with the viral rebound among patients on second-line antiretroviral therapy (ART) in Uganda.

DESIGN

A retrospective dynamic cohort of adults initiated on second-line ART after virological failure to first-line ART.

METHODS

Patients on second-line treatment for at least 6 months between 2007 and 2017 were included. Patients were followed, until they experienced a viral rebound (viral load ≥200 copies/ml). Cumulative probability of viral rebounds and factors associated with viral rebound were determined using Kaplan-Meier methods and Cox proportional hazard models.

RESULTS

One thousand, one hundred and one participants were enrolled of which 64% were women, the median age was 37 years [interquartile range (IQR) 31-43]. The preswitch median CD4 + cell count and viral load were 128 cells/μl (IQR 58-244) and 45 978 copies/ml (IQR 13 827-139 583), respectively. During the 4190.37 person-years, the incidence rate of viral rebound was 83.29 [95% confidence interval (CI) 74.99-92.49] per 1000 person-years. The probability of viral rebound at 5 and 10 years was 0.29 (95% CI 0.26-0.32) and 0.62 (95% CI 0.55-0.69), respectively. The median rebound-free survival was 8.7 years. Young adults (18-24 years) [adjusted hazard ratio (aHR) 2.49, 95% CI 1.32-4.67], preswitch viral load at least 100 000 copies/ml (aHR 1.53, 95% CI 1.22-1.92), and atazanavir/ritonavir (ATV/r)-based second-line (aHR 1.73, 95% CI 1.29-2.32) were associated with an increased risk of viral rebound.

CONCLUSION

Switched therapies are durable for 8 years after failure of recommended regimens. A high preswitch viral load, ATV/r-based regimens, and young adulthood are risk factors for viral rebound, which underscores the need for more durable regimens and differentiated care services.

Analysis of antiretroviral therapy switch rate and switching pattern for people living with HIV from a national database in Japan

To report the status of switch rates and time-to-switch of antiretroviral therapy (ART) regimens by evaluating anchor drug classes and common switching patterns in Japanese people living with human immunodeficiency virus (HIV, PLWH). This cross-sectional cohort study extracted data of 28,089 PLWH from the National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB), which contains data representing the entire population of Japan. PLWH with first prescription records of ART administered between January 2011 and March 2019 were identified (n = 16,069). The median time-to-switch and switch rates of anchor drug classes were estimated by Kaplan-Meier analysis. Brookmeyer-Crowley and Greenwood methods were used to estimate 95% confidence intervals for switch rates and median days, respectively. Switch rates were compared between anchor drug classes by year using log-rank tests. A total of 3108 (19.3%) PLWH switched anchor drug classes from first to second regimens. Switch rates increased continuously over 8 years for non-nucleoside reverse transcriptase inhibitors (NNRTIs) (14.9-65.5%) and protease inhibitors (PIs) (13.2-67.7%), with median time-to-switch of 1826 and 1583 days, respectively. Integrase strand transfer inhibitors (INSTIs) maintained a low switch rate (3.0-7.6%), precluding median-days calculation. Overall, the majority of patients treated initially with NNRTIs and PIs switched to INSTIs regardless of switching times (< 1 year: 67.3% and 85.9%, respectively; ≥ 1 year: 95.5% and 93.6%, respectively). The foremost switching strategies for first-to-second ART regimens are from NNRTIs or PIs to INSTIs regimens that maintain low switch rates long term. There was no observable difference in trend between sex, age and status of AIDS disease at first ART regimen. INSTIs HIV agents may be the most durable anchor drug class for PLWH receiving ART.

Outcomes After Second-Line Antiretroviral Therapy in Children Living With HIV in Latin America

BACKGROUND

Little is known about the long-term outcomes of children living with HIV in Latin America. Few studies have examined antiretroviral therapy (ART) regimen switches in the years after the introduction of ART in this population. This study aimed to assess clinical outcomes among children who started second-line ART in the Caribbean, Central and South America network for HIV epidemiology.

METHODS

Children (<18 years old) with HIV who switched to second-line ART at sites within Caribbean, Central and South America network for HIV epidemiology were included. The cumulative incidence and relative hazards of virologic failure while on second-line ART, loss to follow-up, additional major ART regimen changes, and all-cause mortality were evaluated using competing risks methods and Cox models.

RESULTS

A total of 672 children starting second-line ART were included. Three years after starting second-line ART, the cumulative incidence of death was 0.10 [95% confidence interval (CI) 0.08 to 0.13], loss to follow-up was 0.14 (95% CI: 0.11 to 0.17), and major regimen change was 0.19 (95% CI: 0.15 to 0.22). Of those changing regimens, 35% were due to failure and 11% due to toxicities/side effects. Among the 312 children with viral load data, the cumulative incidence of virologic failure at 3 years was 0.62 (95% CI: 0.56 to 0.68); time to virologic failure and regimen change were uncorrelated (rank correlation -0.001; 95% CI -0.18 to 0.17).

CONCLUSIONS

Poor outcomes after starting second-line ART in Latin America were common. The high incidence of virologic failure and its poor correlation with changing regimens was particularly worrisome. Additional efforts are needed to ensure children receive optimal ART regimens.

Incidence and factors associated with treatment failure among HIV infected adolescent and adult patients on second-line antiretroviral therapy in public hospitals of Northern Ethiopia: Multicenter retrospective study

BACKGROUND

This study aimed to determine the incidence and factors associated with treatment failure among HIV infected adolescent and adult patients on second-line antiretroviral therapy (ART) in public hospitals of Northern Ethiopia.

METHODS

A retrospective study was conducted from September 1, 2007 to July 30, 2017 on 227 patients. The data were extracted using a retrieval checklist from the patient's charts. The incidence rate of treatment failure was calculated using Kaplan-Meier methods and Cox proportional hazard model was used to assess factors associated with treatment failure.

RESULT

The study subjects were followed for a total observation of 788.58 person-years with a median follow-up period of 35 (IQR: 17-60) months after switching to second-line ART. About 57 (25.11%) patients developed treatment failure, out of which, 32 (56.14%) occurred during the first two years. The overall incidence of second-line treatment failure was 72.3 per 1000 person years (95%CI: 55.75-93.71) of observation. The Kaplan-Meier estimates of cumulative treatment failure after 1, 2, and around 10 years of follow-up were 12.31% (95%CI: 8.60-17.45%), 14.99% (95%CI: 10.82%-20.57%), and 48.67% (95%CI: 32.45-67.81%) respectively. Age >45 years AHR = 3.33, 95%CI = 1.33-8.31), WHO stage IV (AHR = 3.63, 95%CI = 1.72-7.67), CD4 count <100 cells/mm3 (AHR = 3.79, 95%CI = 1.61-8.91), TB co-morbidity (AHR = 3.39 95%CI = 1.91-6.01) and poor adherence level (AHR = 3.63, 95% CI = 1.89-6.96) at the start of second line ART were significantly associated with second-line ART failure.

CONCLUSION

Incidence of second-line ART treatment failure in the first 2 years of follow-up was high. The rate of second-line ART failure was higher in patients who started second-line ART with poor drug adherence, CD4 count <100 cells/mm3, TB co-morbidity, age >45 years, and being in WHO stage IV. Therefore, intensive counseling and adherence support should be given along with strong TB screening. Moreover, the government of Ethiopia should consider endorsing third-line ART drugs after careful cost-benefit analysis.

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.

Incidence and predictors of second-line antiretroviral treatment failure among adults living with HIV in Amhara region: a multi-centered retrospective follow-up study

BACKGROUND

Second-line Antiretroviral Therapy (ART) regimens are used when patients develop treatment failure for first-line drug regimens. It is costly unaffordable and it is not widely available for patients in resource limiting setting, there is a need to maximizing the duration of stay on second-line regimen. This study was conducted to estimate the incidence rate of second-line treatment failure and to identify its predictors among adults living with HIV in the Amhara region.

METHODS

An institution based retrospective follow-up study was conducted from May to June 2017. A total of 1,011 adults on second-line ART who were enrolled between February 2008 and April 2016 were included for final analysis. Kaplan-Meier estimator curves were used to describe the survival function. Semi-parametric proportional hazard model was fitted to identify the predictors of treatment failure.

RESULTS

The overall incidence of second-line treatment failure was 9.86 per 100 person-years. It was high during the first and the last year of follow-up. The rate of second-line treatment failure was higher for patients who didn't change second-line regimens (HR: 1.55, 95%CI: 1.18-2.04), who had poor ART adherence (HR: 1.40, 95%CI: 1.06-1.85), and not taking INH (HR: 1.68, 95%CI: 1.23-2.30) as compared to their counter group. The rate of treatment failure for patients who were under WHO clinical stage III at switch (HR: 0.68, 95%CI: 0.50-0.91) was also lower as compared to clients who were under WHO clinical stage I. Furthermore, the rate of treatment failure was higher for clients who were under second-line regimen "TDF-3TC-LPV/r" (HR: 1.55, 95%CI: 1.03-2.32) and "AZT-3TC-LPV/r" (HR: 3.00, 95%CI: 1.86-4.85) as compared to patients under "ABC-ddI-LPV/r" regimens.

CONCLUSIONS

A high incidence rate of second-line treatment failure was noticed in the study setting. The rate of second-line treatment failure was higher for patients who didn't change drug regimens, who had poor ART adherence, and who were not taking INH. Therefore, addressing significant predictors to prevent treatment failure among ART patients is essential and sustainable monitoring to reduce the risk of treatment failure is also desirable.

Predictors of switch to and early outcomes on third-line antiretroviral therapy at a large public-sector clinic in Johannesburg, South Africa

BACKGROUND

While efficacy data exist, there are limited data on the outcomes of patients on third-line antiretroviral therapy (ART) in sub-Saharan Africa in actual practice. Being able to identify predictors of switch to third-line ART will be essential for planning for future need. We identify predictors of switch to third-line ART among patients with significant viraemia on a protease inhibitor (PI)-based second-line ART regimen. Additionally, we describe characteristics of all patients on third-line at a large public sector HIV clinic and present their early outcomes.

METHODS

Retrospective analysis of adults (≥ 18 years) on a PI-based second-line ART regimen at Themba Lethu Clinic, Johannesburg, South Africa as of 01 August 2012, when third-line treatment became available in South Africa, with significant viraemia on second-line ART (defined as at least one viral load ≥ 1000 copies/mL on second-line ART after 01 August 2012) to identify predictors of switch to third-line (determined by genotype resistance testing). Third-line ART was defined as a regimen containing etravirine, raltegravir or ritonavir boosted darunavir, between August 2012 and January 2016. To assess predictors of switch to third-line ART we used Cox proportional hazards regression among those with significant viraemia on second-line ART after 01 August 2012. Then among all patients on third-line ART we describe viral load suppression, defined as a viral load < 400 copies/mL, after starting third-line ART.

RESULTS

Among 719 patients in care and on second-line ART as of August 2012 (with at least one viral load ≥ 1000 copies/mL after 01 August 2012), 36 (5.0% over a median time of 54 months) switched to third-line. Time on second-line therapy (≥ 96 vs. < 96 weeks) (adjusted Hazard Ratio (aHR): 2.53 95% CI 1.03-6.22) and never reaching virologic suppression while on second-line ART (aHR: 3.37 95% CI 1.47-7.73) were identified as predictors of switch. In a separate cohort of patients on third-line ART, 78.3% (47/60) and 83.3% (35/42) of those in care and with a viral load suppressed their viral load at 6 and 12 months, respectively.

CONCLUSIONS

Our results show that the need for third-line is low (5%), but that patients' who switch to third-line ART have good early treatment outcomes and are able to suppress their viral load. Adherence counselling and resistance testing should be prioritized for patients that are at risk of failure, in particular those who never suppress on second-line and those who have been on PI-based regimen for extended periods.

Effectiveness of second-line antiretroviral therapy: the impact of drug switches

Including antiretroviral drug switches as a measure of ART failure could be more suitable than conventional measures to evaluate health outcomes in "real-world" settings. This is part of a historical cohort of HIV-infected adults who initiated ART from 2001-2005, and were followed up for a maximum of five years in three HIV/AIDS centers in Belo Horizonte, Brazil. Follow-up information included data from 2001-2010. All patients switched from first-line ART were included. Second-line ART effectiveness was measured as the time-to-ART failure. Failure was defined simulating two scenarios: (1) Clinical, immunological and virological failure (scenario 1); and scenario 1 plus ART switches (scenario 2). Descriptive analysis, Kaplan-Meier curves, log-rank test, and Cox proportional hazards model were performed. We identified 119 eligible patients; most had protease inhibitor (PI)-based regimens prescribed as second-line. The incidence of failure was different for the two scenarios (29.4% vs. 54.6% for scenario 1 and 2, respectively; p < 0.001). The main identifiers of failure were increase in viral load (31.1%) for scenario 1 and ART switches (42.8%) for scenario 2. Median duration on second-line ART was 36.8 vs. 19.8 months for scenario 1 and 2, respectively. In the Cox analysis of scenario 2, increased risk was found for patients given PI-based second-line regimens (HR = 2.26; 95% CI: 1.09-3.17). There is a high incidence of ART failure associated with PI-based regimens when ART switches are considered as an indicator of failure. This demonstrates the impact of ART switches in representing lack of ART effectiveness.

Six-month survival of critically ill patients with HIV-related disease and tuberculosis: a retrospective study

BACKGROUND

Tuberculosis is one of the leading causes of death from infectious diseases worldwide, mainly after the human immunodeficiency virus (HIV) epidemics. Patient with HIV-related illness are more likely to present with severe TB due to immunosuppression. Very few studies have explored HIV/TB co-infection in critically ill patients. The goal of this study was to analyze factors associated with long-term mortality in critically ill patient with HIV-related disease coinfected with TB.

METHODS

We conducted a retrospective study in an infectious disease reference center in Brazil that included all patient with HIV-related illness admitted to the ICU with laboratory-confirmed tuberculosis from March 2007 until June 2012. Clinical and laboratory variables were analyzed based on six-month survival.

RESULTS

Forty-four patients with HIV-related illness with a confirmed diagnosis of tuberculosis were analyzed. The six-month mortality was 52 % (23 patients). The main causes of admission were respiratory failure (41 %), severe sepsis/septic shock (32 %) and coma/torpor (14 %). The median time between HIV diagnosis and ICU admission was 5 (1-60) months, and 41 % of patients received their HIV infection diagnosis ≤ 30 days before admission. The median CD4 count was 72 (IQR: 23-136) cells/mm(3). The clinical presentation was pulmonary tuberculosis in 22 patients (50 %) and disseminated TB in 20 patients (45.5 %). No aspect of TB diagnosis or treatment was different between survivors and nonsurvivors. Neurological dysfunction was more prevalent among nonsurvivors (43 % vs. 14 %, p = 0.04). The nadir CD4 cell count lower than 50 cells/mm(3) was independently associated with Six-month mortality (hazard ratio 4.58 [1.64-12.74], p < 0.01), while HIV diagnosis less than three months after positive serology was protective (hazard ratio 0.27, CI 95 % [0.10-0.72], p = 0.01).

CONCLUSION

The Six-month mortality of HIV critically ill patients with TB coinfection is high and strongly associated with the nadir CD4 cell count less than 50 cels/mm(3).

Retention in Early Care at an HIV Outpatient Clinic in Rio de Janeiro, Brazil, 2000-2013

Retention in early HIV care has been associated with virologic suppression and improved survival, but remains understudied in Brazil. We estimated retention in early HIV care for the period 2000-2013, and identified socio-demographic and clinical factors associated with good retention in an urban cohort from Rio de Janeiro, Brazil. Antiretroviral therapy-naïve, HIV-infected persons ≥18 years old linked to care between 2000 and 2011 were included. Retention in the first 2 years post-linkage (i.e. early care) was defined by the proportion of 6-month intervals with ≥1 HIV laboratory result. "Good" retention was defined as ≥1 HIV laboratory result recorded in at least three intervals. Overall, 80 % of participants met criteria for good retention and retention significantly improved over the study period. Older age, higher education level and early antiretroviral therapy initiation were associated with good retention. Efforts to improve retention in early care in this population should target younger and less-educated HIV-infected persons.