Incidence and predictors of sexually transmitted infections among adult HIV-positive patients receiving antiretroviral therapy at Themba Lethu HIV clinic in Johannesburg, South Africa

Background. Sexually transmitted infections (STIs) among people living with HIV/AIDS can facilitate the spread of HIV.Objectives. To estimate STI incidence and identify predictors of STI acquisition among HIV-positive patients during their first 24 months of antiretroviral therapy (ART) in Johannesburg, South Africa.Methods. We conducted a cohort study using prospectively collected routine data on patients who initiated ART between January 2004 and January 2015 at the Themba Lethu HIV clinic in Johannesburg. Kaplan-Meier analysis was used to estimate STI incidence rates (based on evidence of laboratory diagnosis and STI syndromic treatment prescription records). STI predictors were identified using Cox regression analysis.Results. Among 26 762 adult patients on ART, there were 1 906 (7.1%) cases of STI (incidence 4.8/100 person-years; 95% confidence interval (CI) 4.7 - 5.1). Non-pregnant women were 60% more likely than men to be diagnosed with an STI (adjusted hazard ratio (aHR) 1.6; 95% CI 1.4 - 1.8). The risk of STI decreased with increasing baseline CD4 count (aHR 0.8, 0.5 and 0.4 for CD4 counts 101 - 200, 201 - 350 and >350 cells/µL, respectively, compared with CD4 count <100 cells/µL). Patients with advanced baseline World Health Organization (WHO) clinical stages had a higher risk (aHR 1.6 for WHO stage 4; 95% CI 1.3 - 1.9) compared with those with WHO stage 1. However, there was a 20% increase in the risk of STI among obese patients compared with underweight patients (aHR 1.3; 95% CI 1.0 - 1.7). Over 80% of obese patients diagnosed with an STI had a CD4 count <200 cells/µL.Conclusions. STIs are common in HIV-infected patients who are receiving ART. While both ART and the syndromic management of STIs are high-impact interventions for controlling the spread of HIV, closer monitoring of STI occurrences is warranted, particularly among immunologically vulnerable patients

Knowledge, risk perception and access to healthcare services for HIV and tuberculosis among university students in Johannesburg, South Africa

CITATION; Evans, D., et al. 2018. Knowledge, risk perception and access to healthcare services for HIV and tuberculosis among university students in Johannesburg, South Africa. South African Journal of Child Health, 12(2):S19-S31, doi:10.7196/SAJCH.2018.v12i2b.1525.The original publication is available at http://www.sajch.org.za/index.php/SAJCHBackground. An increasingly diverse body of students is entering university in South Africa. HIV and tuberculosis (TB) are pressing health issues for this vulnerable population and the university campus offers an opportunity to intervene with health promotion activities. Objectives. This study describes knowledge and risk perception of TB and HIV among high school leavers entering tertiary education. Methods. A cross-sectional survey among first-year students, aged 18-25 years, registered at one of three universities chosen for the study in Johannesburg, South Africa. Informed consent was obtained prior to completing a self-administered, close-ended, structured questionnaire. Factors associated with poor knowledge or high risk perception were identified using modified Poisson regression. Results. In total, 792 students were included; 53.3% (n=438) were categorised as having poor TB knowledge and 52.1% (n=412) poor HIV knowledge, while 43.4% (n=344) were categorised as having high TB risk perception and 39.8% (n=315) high HIV risk perception. Male students were more likely to have poor knowledge of HIV and perceive themselves at risk of acquiring HIV. Low socioeconomic status was associated with a high risk perception of HIV. One in 3 participants (30.6%) stated that they had never had an HIV test. In total, 24 students (9 male, 15 female) reported that they were HIV-positive, of whom 15 (62.5%) were on antiretroviral therapy. Only 14.1% had been screened for TB in the past 6 months. Conclusion. The findings indicate a need to enhance health promotion activities among university students so as to aid preventive strategies for reducing the burden of HIV and TB infection.http://www.sajch.org.za/index.php/SAJCH/article/view/1445Publisher's versio

Predicting the need for third-line antiretroviral therapy by identifying patients at high risk for failing second-line antiretroviral therapy in South Africa

Although third-line antiretroviral therapy (ART) is available in South Africa’s public sector, its cost is substantially higher than first and second line. Identifying risk factors for failure on second-line treatment remains crucial to reduce the need for third-line drugs. We conducted a case–control study including 194 adult patients (‡18 years; 70 cases and 124 controls) who initiated second-line ART in Johannesburg, South Africa. Unconditional logistic regression was used to assess predictors of virologic failure (defined as 2 consecutive viral load measures ‡1000 copies/mL, ‡3months after switching to second line). Variables included a social instability index, ART adherence, self-reported as well as diagnosed adverse drug reactions (ADRs), HIV disclosure, depression, and factors affecting access to HIV clinics. Overall 60.0% of cases and 54.0% of controls were female. Mean ages of cases and controls were 41.8 – 9.6 and 43.3 – 8.0, respectively. Virologic failure was predicted by ART adherence <90% [odds ratio (OR) 4.7; 95% confidence interval (95% CI): 2.1–10.5], younger age (<40 years of age; OR 0.6; 95% CI: 0.3–1.1), high social instability (OR 3.8; 95% CI: 1.30–11.5), self-reported ADR (OR 1.9; 95% CI: 1.0–3.5), disclosure to friends/colleagues rather than partner/relatives (OR3.4; 95%CI: 1.3–9.1), andmedium/high depression compared to low/no depression (OR 4.4; 95% CI: 1.5–13.4). Our results suggest complex socioeconomic factors contributing to risk of virologic failure, possibly by impacting ART adherence, among patients on second-line therapy in South Africa. Identifying patients with possible indicators of nonadherence could facilitate targeted interventions to reduce the risk of second-line treatment failure and mitigate the demand for third-line regimens

Predicting the need for third-line antiretroviral therapy by identifying patients at high risk for failing second-line antiretroviral therapy in South Africa

Although third-line antiretroviral therapy (ART) is available in South Africa’s public sector, its cost is substantially higher than first and second line. Identifying risk factors for failure on second-line treatment remains crucial to reduce the need for third-line drugs. We conducted a case–control study including 194 adult patients (‡18 years; 70 cases and 124 controls) who initiated second-line ART in Johannesburg, South Africa. Unconditional logistic regression was used to assess predictors of virologic failure (defined as 2 consecutive viral load measures ‡1000 copies/mL, ‡3months after switching to second line). Variables included a social instability index, ART adherence, self-reported as well as diagnosed adverse drug reactions (ADRs), HIV disclosure, depression, and factors affecting access to HIV clinics. Overall 60.0% of cases and 54.0% of controls were female. Mean ages of cases and controls were 41.8 – 9.6 and 43.3 – 8.0, respectively. Virologic failure was predicted by ART adherence <90% [odds ratio (OR) 4.7; 95% confidence interval (95% CI): 2.1–10.5], younger age (<40 years of age; OR 0.6; 95% CI: 0.3–1.1), high social instability (OR 3.8; 95% CI: 1.30–11.5), self-reported ADR (OR 1.9; 95% CI: 1.0–3.5), disclosure to friends/colleagues rather than partner/relatives (OR3.4; 95%CI: 1.3–9.1), andmedium/high depression compared to low/no depression (OR 4.4; 95% CI: 1.5–13.4). Our results suggest complex socioeconomic factors contributing to risk of virologic failure, possibly by impacting ART adherence, among patients on second-line therapy in South Africa. Identifying patients with possible indicators of nonadherence could facilitate targeted interventions to reduce the risk of second-line treatment failure and mitigate the demand for third-line regimens

Predicting the Need for Third-Line Antiretroviral Therapy by Identifying Patients at High Risk for Failing Second-Line Antiretroviral Therapy in South Africa

Although third-line antiretroviral therapy (ART) is available in South Africa’s public sector, its cost is substantially higher than first and second line. Identifying risk factors for failure on second-line treatment remains crucial to reduce the need for third-line drugs. We conducted a case–control study including 194 adult patients (‡18 years; 70 cases and 124 controls) who initiated second-line ART in Johannesburg, South Africa. Unconditional logistic regression was used to assess predictors of virologic failure (defined as 2 consecutive viral load measures ‡1000 copies/mL, ‡3months after switching to second line). Variables included a social instability index, ART adherence, self-reported as well as diagnosed adverse drug reactions (ADRs), HIV disclosure, depression, and factors affecting access to HIV clinics. Overall 60.0% of cases and 54.0% of controls were female. Mean ages of cases and controls were 41.8 – 9.6 and 43.3 – 8.0, respectively. Virologic failure was predicted by ART adherence <90% [odds ratio (OR) 4.7; 95% confidence interval (95% CI): 2.1–10.5], younger age (<40 years of age; OR 0.6; 95% CI: 0.3–1.1), high social instability (OR 3.8; 95% CI: 1.30–11.5), self-reported ADR (OR 1.9; 95% CI: 1.0–3.5), disclosure to friends/colleagues rather than partner/relatives (OR3.4; 95%CI: 1.3–9.1), andmedium/high depression compared to low/no depression (OR 4.4; 95% CI: 1.5–13.4). Our results suggest complex socioeconomic factors contributing to risk of virologic failure, possibly by impacting ART adherence, among patients on second-line therapy in South Africa. Identifying patients with possible indicators of nonadherence could facilitate targeted interventions to reduce the risk of second-line treatment failure and mitigate the demand for third-line regimens

Determinants of loss to follow-up in patients on antiretroviral treatment, South Africa, 2004–2012: a cohort study

BACKGROUND : The number of Human Immunodeficiency Virus (HIV) infected people eligible for initiation on antiretroviral Therapy (ART) is increasing. ART programmatic success requires that patients who are taking ART remain on treatment and are followed up regularly. This study investigated factors associated with being lost to follow-up, in a cohort of patients enrolled in a pharmacovigilance study in South Africa. METHODS : This was a retrospective observational cohort study performed at one of the Medunsa National Pharmacovigilance Centre’s (MNPC) ART sentinel surveillance sites. Loss to Follow-up (LTFU) was defined as “a patient who had been followed up at the sentinel site, who had not had contact with the health facility for 180 days or more since their last recorded expected date of return or if there were 180 days or more between the expected date of return and the next clinic visit”. RESULTS : Out of 595 patients, 65.5 % (n = 390) were female and 23.4 % (n = 139) were LTFU. The median time on ART before LTFU was 21.5 months (interquartile range: 12.9 – 34.7 months). The incidence rate of LTFU was 103 per 1000 person-years in the first year on ART and increased to 405 per 1000 person-years in the eighth year of taking ART. Factors associated with becoming LTFU included not having a committed partner (Adjusted Hazard Ratio (aHR): 2.9, 95 % Confidence Interval (CI):1.19-6.97, p = 0.019), being self-employed (aHR: 13.9, 95 % CI:2.81 - 69.06, p = 0.001), baseline CD4 count > 200 cells/ml (aHR: 3.8, 95 % CI: 1.85-7.85, p < 0.001), detectable last known Viral Load (VL) (aHR: 3.6, 95 % CI:1.98 - 6.52, p < 0.001) and a last known World Health Organisation clinical stage three or four (aHR: 2.0, 95 % CI:1.22-3.27, p = 0.006). Patients that previously had an ART adverse event had a lower risk (aHR: 0.6, 95 % CI: 0.38 - 0.99, p = 0.044) of becoming LTFU than those that had not. CONCLUSION : The incidence rate of LTFU increases with additional years on ART. Intensified measures to improve patient retention on ART must be prioritised with increasing patient time on ART and in patients that are at increased risk of becoming lost to follow-up.The University of Pretoria School of Health systems and Public Health and the South African Field Epidemiology and Laboratory training program.http://www.biomedcentral.com/bmchealthservresam201