Introduction: HIV/TB comorbidity is responsible for 1.6 million deaths worldwide. HIV/TB control and patients’ survival are still among priorities of the national HIV and TB programs. We aimed to evaluate the HIV/TB survival in connection with TB treatment outcomes and factors influencing life duration of the cohort 2008-2018 in Almaty, Kazakhstan. Methodology: This retrospective cohort study extracted data for all HIV and pulmonary TB adults coinfected during 2008-2018 in Almaty from national registries to apply descriptive, Kaplan-Meier estimation, and Cox proportional hazards regression model. Survival function for the TB treatment outcomes and factors predicting the probability of survival were tested and described. Results: The cohort population (n = 521) mean age was 37.4 years with 405 (77.7%) males and 210 (40.3%) marrieds. More than one TB treatment had 181 (34.7%) patients, 291 (55.9%) were smear-positive (SS+), and 423 (81.2%) were on antiretroviral therapy with mean CD4 count 254.22cells/µL. Probability to live longer was higher (128 versus 37 months, p = 0.003; 95% confidence interval (CI) 71.65, 184.35) for those who succeeded in TB treatment compared to “lost to follow-up” and “failed” treatment outcomes. Adjusted Cox regression model death hazard showed association with missing ART treatment (HR: 1.699, 95%CI 1.164, 2.481, p = 0.006) and having CD4 count < 499 (HR 2.398, 95%CI 1.191, 4.830, p < 0.014). Conclusion: TB treatment outcomes, ART treatment, and the CD4 count of HIV/TB coinfected population substantially influence their life duration. The medical decision- and policy-makers should take this into consideration when implementing targeted improvements in the national HIV and TB programs.

Background Effective active case finding (ACF) activities are essential for early identification of new cases of active tuberculosis (TB) and latent TB infection (LTBI). Accurate diagnostics as well as the ability to identify contacts at high risk of infection are essential for ACF, and have not been systematically reported from Central Asia. The objective was to implement a pilot ACF program to determine the prevalence and risk factors for LTBI and active TB among contacts of individuals with TB in Kyrgyz Republic using Quantiferon-TB Gold plus (QuantiFERON). Methods An enhanced ACF project in the Kyrgyz Republic was implemented in which close and household (home) contacts of TB patients from the Issyk-Kul Oblast TB Center were visited at home. QuantiFERON and the tuberculin skin test (TST) alongside clinical and bacteriological examination were used to identify LTBI and active TB cases among contacts. The association for QuantiFERON positivity and risk factors were analysed and compared to TST results. Results Implementation of ACF with QuantiFERON involved close collaboration with the national sanitary and epidemiological services (SES) and laboratories in the Kyrgyz Republic. From 67 index cases, 296 contacts were enrolled of whom 253 had QuantiFERON or TST results; of those 103 contacts had LTBI (positive TST or IGRA), and four (1.4%) active TB cases were detected. Index case smear microscopy (OR 1.76) and high household density (OR 1.97) were significant risk factors for QuantiFERON positivity for all contacts. When stratified by age, association with smear positivity disappeared for children below 15 years. TST was not associated with any risk factor. Conclusions This is the first time that ACF activities have been reported for Central Asia, and provide insight for implementation of effective ACF in the region. These ACF activities using QuantiFERON led to increase in the detection of LTBI and active cases, prior to patients seeking treatment. Household density should be taken into consideration as an important risk factor for the stratification of future ACF activities.

Introduction: Tuberculosis (TB) contact investigation as a proved approach for finding new TB cases, is not fully performed in Kyrgyzstan. In 2018, the country started aligning the National Guidelines for tracking contacts with the WHO recommendations by expanding the definition for TB index cases to all close contacts, regardless of their TB risk status. Methodology: This cross-sectional census aimed to determine the active case detection changes among TB contacts after implementation of a new TB tracing strategy using the National Surveillance data. We compared populations in Chui and Issyk-Kul regions of Kyrgyzstan who had contacts with TB index cases before (2017) and after (2018) strategic changes for the rates of indexes, contacts, screened contacts, and detected TB among screened contacts. Results: New TB tracing strategy resulted in increased numbers of indexes (21%) and contacts (36%). Though the smaller number of contacts (1730 vs. 1590) have been screened in 2018, the proportion of TB diagnosed was substantially higher (95% CI: 0.024-0.005; p = 0.002) in 2018 vs. 2017. The mean numbers of TB contacts per-one-index-case also has increased dramatically by 117% (1.8 vs. 3.9) in Chui and by 43% (3.0 vs. 4.3) in Issyk-Kul regions (95% CI: 3.20-3.37; p < 0.001 and 95% CI: 2.97-3.09; p < 0.001, respectively) between 2018 and 2017. Conclusion: Extending new tracing approach to other regions of Kyrgyzstan will increase the number of identified contacts, leading to better TB control in the country and prevention of more severe TB development among the unidentified contacts.