BACKGROUND: Despite global tuberculosis (TB) interventions, the disease remains one of the major public health concerns. Kenya is ranked 15th among 22 high burden TB countries globally.
METHODS: A cross-sectional study was conducted in Western Kenya, which comprises 10 counties. A multistage sampling method was used where a single sub-county was randomly selected followed by sampling two high volume health facility from each sub-county. Identification of spoligotype profiles and their family distribution and lineage level were achieved by comparison with SITVIT database.
RESULTS: Lineage distribution pattern revealed that the most predominant lineage was CAS 220 (39.8%) followed by Beijing 128 (23.1%). The other lineages identified were T, LAM, H, X, S and MANU which were quantified as 87 (15.7%), 67 (12.1%), 16 (2.8%), 10 (1.8%), 8 (1.4%) and 5 (0.9%) respectively. CAS and Beijing strains were the most predominant lineage in both HIV negative and positive TB patients. The Beijing lineage was also the most predominant in resistant M. tuberculosis strains as compared to wild type. A total of 12 (2.0%) were orphaned M. tuberculosis strains which were spread across all the 10 counties of the study site. In multivariate logistic regression adjusting for potential cofounders three potential risk factors were significant. HIV status (OR = 1.52, CI = 0.29-3.68 and P value of 0.001), Alcohol use (OR = 0.59, CI = 0.43-3.12 and P-value =0.001) and cross border travel (OR = 0.61, CI = 0.49-3.87 and P value = 0.026). Most M. tuberculosis clinical isolates showed genetic clustering with multivariate logistic regression indicating three potential risk factors to clustering. HIV status (OR = 1.52, CI = 0.29-3.68 and P value of 0.001), Alcohol use (OR = 0.59, CI = 0.43-3.12 and P-value =0.001) and cross border travel (OR = 0.61, CI = 0.49-3.87 and P value = 0.026).
CONCLUSIONS: There exist diverse strains of M. tuberculosis across the 10 counties of Western Kenya. Predominant distribution of clustered genotype points to the fact that most TB cases in this region are as a result of resent transmission other than activation of latent TB.

BACKGROUND: The war in Ukraine has led to significant migration to neighboring countries, raising public health concerns. Notable tuberculosis (TB) incidence rates in Ukraine emphasize the immediate requirement to prioritize approaches that interrupt the spread and prevent new infections.
METHODS: We conducted a prospective genomic surveillance study to assess migration\'s impact on TB epidemiology in the Czech Republic and Slovakia. Mycobacterium tuberculosis isolates from Ukrainian war refugees and migrants, collected from September 2021 to December 2022 were analyzed alongside 1574 isolates obtained from Ukraine, the Czech Republic, and Slovakia.
RESULTS: Our study revealed alarming results, with historically the highest number of Ukrainian tuberculosis patients detected in the host countries. The increasing number of cases of multidrug-resistant TB, significantly linked with Beijing lineage 2.2.1 (p < 0.0001), also presents substantial obstacles to control endeavors. The genomic analysis identified the three highly related genomic clusters, indicating the recent TB transmission among migrant populations. The largest clusters comprised war refugees diagnosed in the Czech Republic, TB patients from various regions of Ukraine, and incarcerated individuals diagnosed with pulmonary TB specialized facility in the Kharkiv region, Ukraine, pointing to a national transmission sequence that has persisted for over 14 years.
CONCLUSIONS: The data showed that most infections were likely the result of reactivation of latent disease or exposure to TB before migration rather than recent transmission occurring within the host country. However, close monitoring, appropriate treatment, careful surveillance, and social support are crucial in mitigating future risks, though there is currently no evidence of local transmission in EU countries.

Rationale: A central strategy of tuberculosis (TB) control in the United States is reducing the burden of latent TB infection (LTBI) through targeted testing and treatment of persons with untreated LTBI. Objectives: The objective of the study was to provide estimates of and risk factors for engagement in LTBI care in the overall U.S. population and among specific risk groups. Methods: We used nationally representative data from 7,080 participants in the 2011-2012 National Health and Nutrition Examination Survey. Engagement in LTBI care was assessed by estimating the proportion with a history of testing, diagnosis, treatment initiation, and treatment completion. Weighted methods were used to account for the complex survey design and to derive national estimates. Results: Only 1.4 million (10%) of an estimated 14.0 million individuals with an LTBI had previously completed treatment. Of the 12.6 million who did not complete LTBI treatment, 3.7 million (29%) had never been tested and 7.2 million (57%) received testing but had no history of diagnosis. High-risk groups showed low levels of engagement, including contacts of individuals with TB and persons born outside the United States. Conclusions: There is a reservoir of more than 12 million individuals in the United States who may be at risk for progression to TB disease and potential transmission. TB control programs and community providers should consider focused efforts to increase testing, diagnosis, and treatment for LTBI.

UNASSIGNED: A robust disaggregated understanding of the determinants of tuberculosis (TB) in each local setting is essential for effective health system and policy action to control TB.
UNASSIGNED: The objective of the study was to identify population attributable risk (PAR) for TB disease based on the locally available evidences for Kerala, India.
UNASSIGNED: Systematic review was done for risk factors of TB in the state. The second set of searches was done to understand the prevalence of the identified risk factors in general population in Kerala. With all available studies and reports, an expert group consensus was made to finalize state-specific prevalence of risk factors. Population attributable fractions were calculated for identified risk factors.
UNASSIGNED: PAR for TB disease in Kerala obtained was 24% for undernutrition, 15% for diabetes, 15% for tobacco use, and 1% for HIV.
UNASSIGNED: Kerala state\'s PAR for TB was comparatively lower for HIV but higher for diabetes mellitus. Similar exercises for summarizing population risk factors need to happen at all states for making plans to effectively combat TB.

India has the highest burden of incident tuberculosis (TB) cases and deaths globally. TB is strongly associated with poverty and this risk is largely mediated by undernutrition in India. COVID-19 response related lockdown has resulted in an economic crisis which may double levels of poverty, has exacerbated food insecurity, and disrupted TB services. These developments may have serious implications for TB progression and transmission in India. The nutritional status of a population is a strong determinant of the TB incidence, and undernutrition in adults alone accounts for 32-44% of TB incidence in India. A systematic review has shown that a 14% increase in TB incidence can occur per one unit decrease in body mass index (BMI), across the BMI range of 18.5-30 kg/m2. We believe that one unit decrease in BMI (corresponding to a 2-3 kg weight loss) may result in the poor in India as a result of the lockdown and its aftermath. This may result in an increase in estimated (uncertainty interval) incident TB by 185 610 (180 230, 190 990) cases. A 59% reduction in TB case detection between end March and May 2020, may result in an estimated (uncertainty interval) additional 87 711 (59 998, 120 630) TB deaths [19.5% increase (14.5, 24.7)] in 2020. Disadvantaged social groups and those living in states with higher levels of poverty, under-nutrition,and migrant workers are at particular risk. We suggest enhanced rations including pulses through the public distribution system and direct cash transfers to the poor pending restoration of livelihoods. TB services should be resumed immediately with enhanced efforts at case detection including active case finding. To prevent deaths among TB detected within the national TB programme, systemic identification, referral and management of severe disease at notification should be considered.

This paper describes the application of whole-genome sequencing (WGS) to investigate an outbreak of Mycobacterium tuberculosis occurring in Aragon, Spain, where strains have been submitted to genotyping since 2004. The responsible outbreak strain appeared in our region first in 2014 and it spread to 14 patients in the following three years. WGS found low variability between the isolates with none of the SNPs differences detected more than once, all of which were attributed to a recent transmission. Although two ambiguous bases linked two cases with those who presented the SNP in the same position, the establishment of a definitive transmission route was not possible. The epidemiological data supported the existence of a super-spreader, probably responsible for the majority of the cases involved since there was a two-year delay in diagnoses among cases. This fact would also help explaining the low variability found. The index case was not identified, possibly because it was not diagnosed in Aragon. In addition WGS characterised the strain as a Linage 4.3.3/LAM family and corroborated the susceptibility to anti-tuberculosis drugs observed by the clinical laboratories. This work shows the need to have epidemiological data to support the genomic data in order to clarify the evolution of tuberculosis outbreaks.

BACKGROUND: The TNF inhibitors were the first immunobiologicals used to treat rheumatic diseases, but their use is associated with an increased risk of tuberculosis. The primary objective is to estimate the incidence of tuberculosis in patients with rheumatic diseases exposed to anti-TNF therapy. The secondary objectives are to evaluate the incidence of tuberculosis by region and subgroups of diseases, to review the presentation of tuberculosis in these patients, and to assess the time elapsed between onset of anti-TNF therapy and development of active granulomatous disease.
METHODS: A systematic review of the literature was conducted in MEDLINE, the Cochrane Library, and LILACS. The primary endpoint was described as incidence and secondary outcomes, through subgroup analyses and comparisons of means.
RESULTS: We included 52 observational studies. Among the exposed patients, 947 cases of tuberculosis were documented (62.2% pulmonary), with a cumulative incidence of 9.62 cases per 1000 patients exposed. TB incidence across different continents was distributed as follows: South America, 11.75 cases/1000 patients exposed; North America, 4.34 cases/1000 patients exposed; Europe, 6.28 cases/1000 patients exposed; and Asia, 13.47 cases/1000 patients exposed. There were no significant differences in TB incidence among the described diseases. The mean time elapsed from start of anti-TNF therapy until the endpoint was 18.05 months.
CONCLUSIONS: The incidence of TB in patients with rheumatic diseases exposed TNF inhibitor considering all countries was 9.62 cases per 1000 patients exposed. TB incidence was higher in South America and Asia compared with North America and Europe. Most cases occurred in the first XX months of use, and the pulmonary form predominated.Key Points• Higher incidence of tuberculosis in patients exposed to anti-TNF compared with the general population.• Higher incidence of TB in countries of South America and Asia compared with North America and Europe.

Community-level benefits of screening for active tuberculosis (TB) disease remain uncertain. Project Axshya (meaning free of TB) conducted advocacy, communication, social mobilization, and active case finding among vulnerable/marginalized populations of India. Among 15 districts of Jharkhand state, the project was initiated in 36 subdistrict level administrative units - tuberculosis units (TUs) in a staggered manner between April 2013 and September 2014, and continued till the end of 2015. Seven TUs did not implement the project. We assessed the relative change in the quarterly TB case finding indicators (n = 4) after inclusion of a TU within the project. By fitting four multilevel models (mixed-effects maximum likelihood regression using random intercept), we adjusted for secular (over previous five quarters) and seasonal trends, baseline differences within Axshya and non-Axshya TUs, and population size and clustering within districts and within TUs. After inclusion of a TU within the project, we found a significant increase [95% confidence interval (CI)] in TU-level presumptive TB sputum examination rate, new sputum-positive TB Case Notification Rate (CNR), sputum-positive TB CNR, and all forms TB CNR by 12 (5.5, 18.5), 1.1 (0.5, 1.7), 1.3 (0.6, 2.0), and 1.2 (0.1, 2.2) per 100,000 population per quarter, respectively. Overall, the project resulted in an increase (95% CI) in sputum examination and detection of new sputum-positive TB, sputum-positive TB and all forms of TB patients by 22,410 (10,203, 34,077), 2066 (923, 3210), 2380 (1162, 3616), and 2122 (203, 4059), respectively. This provides evidence for implementing project Axshya over and above the existing passive case finding.

Since the risk of multidrug-resistant tuberculosis (MDR-TB) may depend on the setting, we aimed to determine the associations of risk factors of MDR-TB across different regions.
A systematic review and meta-analysis was performed with Pubmed and Embase databases. Information was retrieved on 37 pre-defined risk factors of MDR-TB. We estimated overall Mantel-Haenszel odds ratio as a measure of the association.
Factors of previous TB disease and treatment are the most important risk factors associated with MDR-TB. There was also a trend towards increased risk of MDR-TB for patients 40 years and older, unemployed, lacking health insurance, smear positive, with non-completion and failure of TB treatment, showing adverse drug reaction, non-adherent, HIV positive, with COPD and with M. Tuberculosis Beijing infection. Effect modification by geographical area was identified for several risk factors such as male gender, married patients, urban domicile, homelessness and history of imprisonment.
Assessment of risk factors of MDR-TB should be conducted regionally to develop the most effective strategy for MDR-TB control. Across all regions, factors associated with previous TB disease and treatment are essential risk factors, indicating the appropriateness of diagnosis, treatment and monitoring are an important requirements.

The aim of this retrospective review was to assess the overall burden and trend in spinal tuberculosis (TB) at tertiary hospitals in the Western Cape Province of South Africa. All spinal TB cases seen at the province\'s three tertiary hospitals between 2012 and 2015 were identified and clinical records of each case assessed. Cases were subsequently classified as bacteriologically confirmed or clinically diagnosed and reported with accompanying clinical and demographic information. Odds ratios (OR) for severe spinal disease and corrective surgery in child vs. adult cases were calculated. A total of 393 cases were identified (319 adults, 74 children), of which 283 (72%) were bacteriologically confirmed. Adult cases decreased year-on-year (P = 0.04), however there was no clear trend in child cases. Kyphosis was present in 60/74 (81%) children and 243/315 (77%) adults with available imaging. Corrective spinal surgery was performed in 35/74 (47%) children and 80/319 (25%) adults (OR 2.7, 95% confidence interval 1.6-4.5, P = 0.0003). These findings suggest that Western Cape tertiary hospitals have experienced a substantial burden of spinal TB cases in recent years with a high proportion of severe presentation, particularly among children. Spinal TB remains a public health concern with increased vigilance required for earlier diagnosis, especially of child cases.