Programmatic Implications of National Recent HIV Infection Surveillance in Cambodia.

We compared characteristics of HIV diagnosis and recent HIV infection (ie, likely acquired within the last year) in Cambodia. We included individuals ≥ 15 years old accessing HIV testing. From August 2020 to August 2022, 53 031 people were tested for HIV, 6868 were newly diagnosed, and 192 were recently infected. We found differences in geographical burden and risk behaviors with diagnosis and recency (eg, men who have sex with men, transgender women, and entertainment workers had a nearly 2-fold increased odds of testing positive for recent infection compared to being diagnosed with HIV). Recent infection surveillance may provide unique insights into ongoing HIV acquisition to inform programs.

Tuberculosis prevalence, incidence and prevention in a south african cohort of children living with HIV.

BACKGROUND: We describe tuberculosis (TB) disease among antiretroviral treatment (ART) eligible children living with HIV (CLHIV) in South Africa to highlight TB prevention opportunities. METHODS: In our secondary analysis among 0- to 12-year-old ART-eligible CLHIV in five Eastern Cape Province health facilities from 2012 to 2015, prevalent TB occurred 90 days before or after enrollment; incident TB occurred >90 days after enrollment. Characteristics associated with TB were assessed using logistic and Cox proportional hazards regression with generalized estimating equations. RESULTS: Of 397 enrolled children, 114 (28.7%) had prevalent TB. Higher-income proxy [adjusted odds ratio (aOR) 1.8 [95% confidence interval (CI) 1.3-2.6] for the highest, 1.6 (95% CI 1.6-1.7) for intermediate]; CD4+ cell count <350 cells/µl [aOR 1.6 (95% CI 1.1-2.2)]; and malnutrition [aOR 1.6 (95% CI 1.1-2.6)] were associated with prevalent TB. Incident TB was 5.2 per 100 person-years and was associated with delayed ART initiation [hazard ratio (HR) 4.7 (95% CI 2.3-9.4)], malnutrition [HR 1.8 (95% CI 1.1-2.7)] and absence of cotrimoxazole [HR 2.3 (95% CI 1.0-4.9)]. Among 362 children with data, 8.6% received TB preventive treatment. CONCLUSIONS: Among these CLHIV, prevalent and incident TB were common. Early ART, cotrimoxazole and addressing malnutrition may prevent TB in these children.

BACKGROUND: We describe tuberculosis (TB) in children living with HIV (CLHIV) eligible for HIV treatment in South Africa to highlight opportunities to prevent TB. METHODS: We analyzed additional data from our original study of CLHIV who were 0­12 years old and due to start HIV treatment in five health facilities in Eastern Cape Province from 2012 to 2015 and assessed characteristics associated with existing and new TB. RESULTS: Of 397 enrolled children, 114 (28.7%) had existing TB. Children with a higher measure of household income had higher odds of existing TB. CD4+ cell count <350 cells/µl and malnutrition were also associated with existing TB. There were 5.2 new cases of TB for every 100 child-years. New TB was 4.7 times more likely for children with delayed HIV treatment start, 1.8 times more likely for children with malnutrition and 2.3 times more likely for children who did not get cotrimoxazole. Among 362 children with data, 8.6% received treatment to prevent TB. CONCLUSIONS: Among these CLHIV, existing and new TB were common. Early HIV treatment, cotrimoxazole and addressing malnutrition may prevent TB in these children.

Evaluation of Automated Molecular Testing Rollout for Tuberculosis Diagnosis Using Routinely Collected Surveillance Data - Uganda, 2012-2015.

In 2012, Uganda introduced the use of GeneXpert MTB/RIF (Cepheid, Sunnyvale CA), a sensitive, automated, real-time polymerase chain reaction-based platform for tuberculosis (TB) diagnosis, for programmatic use among children, adults with presumptive human immunodeficiency virus (HIV)-associated TB, and symptomatic persons at risk for rifampicin (RIF)-resistant TB. The effect of using the platform's Xpert MTB/RIF assay on TB care and control was assessed using routinely collected programmatic data; in addition, a retrospective review of district quarterly summaries using abstracted TB register data from purposively selected facilities in the capital city of Kampala was conducted. Case notification rates were calculated and nonparametric statistical methods were used for analysis. No statistically significant differences were observed in case notification rates before and after the Xpert MTB/RIF assay became available, although four of 10 districts demonstrated a statistically significant difference in bacteriologically confirmed TB. Once the GeneXpert MTB/RIF platform is established and refined, a more comprehensive evaluation should be conducted.

Evaluating Nonresponse Weighting Adjustment for the Population-Based HIV Impact Assessment Surveys on Incorporating Survey Outcomes.

BACKGROUND: The nonresponse weighting adjustment of the Population-based HIV Impact Assessment (PHIA) surveys uses the weighting class method in combination with a tree analysis to identify predictors significant to response propensity. Variable selection for this type of nonresponse adjustment identifies auxiliary variables correlated with response propensity alone and produces 1 set of weights applicable for all analyses of the survey data. An alternative approach identifies auxiliary variables correlated to both the response probability and selected key outcome variables. This approach may identify a different set of variables for the nonresponse adjustments and may produce more efficient estimates for the key outcome variables. SETTING: The PHIA surveys from 2016 to 2017. METHODS: Weighting class, joint-classification, and two-step modeling. RESULTS: There was little difference among estimates produced by the alternative weighting methods and the PHIA estimates. The joint-classification method produced more efficient estimates (ie, smaller design effects) compared with the PHIA method, while the two-step method was inconclusive. CONCLUSIONS: The efficiency of the estimates produced by the PHIA weighting method closely resembles those specifically targeted at key survey outcomes and serves well as a multipurpose weight.

Correction: Estimating the Size of Key Populations in Kampala, Uganda: 3-Source Capture-Recapture Study.

[This corrects the article DOI: 10.2196/12118.].

Estimating the Size of Key Populations in Kampala, Uganda: 3-Source Capture-Recapture Study.

BACKGROUND: Key populations, including people who inject drugs (PWID), men who have sex with men (MSM), and female sex workers (FSW), are disproportionately affected by the HIV epidemic. Understanding the magnitude of, and informing the public health response to, the HIV epidemic among these populations requires accurate size estimates. However, low social visibility poses challenges to these efforts. OBJECTIVE: The objective of this study was to derive population size estimates of PWID, MSM, and FSW in Kampala using capture-recapture. METHODS: Between June and October 2017, unique objects were distributed to the PWID, MSM, and FSW populations in Kampala. PWID, MSM, and FSW were each sampled during 3 independent captures; unique objects were offered in captures 1 and 2. PWID, MSM, and FSW sampled during captures 2 and 3 were asked if they had received either or both of the distributed objects. All captures were completed 1 week apart. The numbers of PWID, MSM, and FSW receiving one or both objects were determined. Population size estimates were derived using the Lincoln-Petersen method for 2-source capture-recapture (PWID) and Bayesian nonparametric latent-class model for 3-source capture-recapture (MSM and FSW). RESULTS: We sampled 467 PWID in capture 1 and 450 in capture 2; a total of 54 PWID were captured in both. We sampled 542, 574, and 598 MSM in captures 1, 2, and 3, respectively. There were 70 recaptures between captures 1 and 2, 103 recaptures between captures 2 and 3, and 155 recaptures between captures 1 and 3. There were 57 MSM captured in all 3 captures. We sampled 962, 965, and 1417 FSW in captures 1, 2, and 3, respectively. There were 316 recaptures between captures 1 and 2, 214 recaptures between captures 2 and 3, and 235 recaptures between captures 1 and 3. There were 109 FSW captured in all 3 rounds. The estimated number of PWID was 3892 (3090-5126), the estimated number of MSM was 14,019 (95% credible interval (CI) 4995-40,949), and the estimated number of FSW was 8848 (95% CI 6337-17,470). CONCLUSIONS: Our population size estimates for PWID, MSM, and FSW in Kampala provide critical population denominator data to inform HIV prevention and treatment programs. The 3-source capture-recapture is a feasible method to advance key population size estimation.