Tuberculosis Screening Research Articles

Epidemiology and Treatment Outcomes of Tuberculosis With Chronic Hepatitis B Infection-California, 2016-2020.

Improved epidemiologic and treatment data for active tuberculosis (TB) with chronic hepatitis B virus (cHBV) infection might inform and encourage screening and vaccination programs focused on persons at risk of having both conditions. We matched the California Department of Public Health TB registry during 2016-2020 to the cHBV registry using probabilistic matching algorithms. We used chi-square analysis to compare the characteristics of persons with TB and cHBV with those with TB only. We compared TB treatment outcomes between these groups using modified Poisson regression models. We calculated the time between reporting of TB and cHBV diagnoses for those with both conditions. We identified 8435 persons with TB, including 316 (3.7%) with cHBV. Among persons with TB and cHBV, 256 (81.0%) were non-US-born Asian versus 4186 (51.6%) with TB only (P < .0001). End-stage renal disease (26 [8.2%] vs 322 [4.0%]; P < .001) and HIV (21 [6.7%] vs 247 [3.0%]; P = .02) were more frequent among those with TB and cHBV compared with those with TB only. Among those with both conditions, 35 (11.1%) had TB diagnosed >60 days before cHBV (median, 363 days) and 220 (69.6%) had TB diagnosed >60 days after cHBV (median, 3411 days). Persons with TB and cHBV were found more frequently in certain groups compared with TB only, and infrequently had their conditions diagnosed together. This highlights an opportunity to improve screening and treatment of TB and cHBV in those at high risk for coinfection.

Factors Affecting the Success of the National Tuberculosis Control Program in Hospitals in Indonesia Based on the National Hospital Accreditation Standards (SNARS): A Scoping Review

&lt;div&gt;&lt;table cellspacing="0" cellpadding="0" align="left"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td align="left" valign="top"&gt;&lt;p&gt;&lt;em&gt;Tuberculosis (TB) is an infectious disease that is one of the leading causes of health problems worldwide and in developing countries. Hospitals have a very important role in the success of Tuberculosis control programs. Tuberculosis prevention and control encompass a range of health initiatives that are designed to safeguard public health, mitigate morbidity, disability, and death rates, disrupt the spread of the illness, combat medication resistance, and alleviate the adverse consequences associated with Tuberculosis. This scoping review aims to assess the factors that influence the success of the national tuberculosis control program in hospitals based on the National Hospital Accreditation Standards. A scoping review was conducted in this work, utilizing four databases: Google Scholar, Ebsco, Pro Quest, and Science Direct. The PRISMA Flowchart is a tool used to guide the process of selecting research publications. The inclusion exclusion criteria in the article search were limited to the last 10 years, starting from 2014 to 2023. The results of the scoping review showed that the factors influencing the success of the national tuberculosis program in hospitals based on the National Hospital Accreditation Standards are health promotion, early detection of tuberculosis or health screening, tuberculosis surveillance, risk factor control, surveillance of tuberculosis case finding and treatment, provision of immunity with vaccines and provision of tuberculosis preventive drugs. And in an effort to enhance the effectiveness of the Tuberculosis program, the government, hospitals, and communities should prioritize the implementation of the Directly Observed Treatment Shortcourse program in hospitals to ensure its smooth execution&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt; &lt;/em&gt;&lt;/p&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;strong&gt;&lt;em&gt;Keywords: Tuberculosis, Hospital, Program&lt;/em&gt;&lt;/strong&gt;

Screening and treatment of latent tuberculosis in patients with solid tumors and systemic cancer therapy.

Tuberculosis is one of the infectious diseases with greater morbidity and mortality worldwide. Cancer causes an important immunosuppression with increased risk of infections. There is an enlarged bidirectional incidence between tuberculosis and cancer, mainly due to latent tuberculosis. There is great discrepancy between recommendations for screening and prophylaxis of latent tuberculosis in patients with solid tumors and systemic cancer therapy among different medical societies and guidelines. Most infectious diseases guidelines recommend it, while most oncology guidelines do not. Patients with solid tumours generally have a limited life expectancy and a state of intermittent immunosuppression, resulting in a lower risk of tuberculosis reactivation than other riskypopulations. There is a lack of prospective and retrospective studies analysing the benefit of screening and prophylaxis in this population. The first step is to study the incidence of active tuberculosis in this population to estimate the real magnitude of the problem.

Characteristic SNPs defining the major multidrug-resistant Mycobacterium tuberculosis clusters identified by EuSeqMyTB to support routine surveillance, EU/EEA, 2017 to 2019.

BackgroundThe EUSeqMyTB project, conducted in 2020, used whole genome sequencing (WGS) for surveillance of drug-resistant Mycobacterium tuberculosis in the European Union/European Economic Area (EU/EEA) and identified 56 internationally clustered multidrug-resistant (MDR) tuberculosis (TB) clones.AimWe aimed to define and establish a rapid and computationally simple screening method to identify probable members of the main cross-border MDR-TB clusters in WGS data to facilitate their identification and track their future spread.MethodsWe screened 34 of the larger cross-border clusters identified in the EuSeqMyTB pilot study (2017-19) for characteristic single nucleotide polymorphism (SNP) signatures that could identify and define members of each cluster. We also linked this analysis with published clusters identified in previous studies and identified more distant genetic relationships between some of the current clusters.ResultsA panel of 30 characteristic SNPs is presented that can be used as an initial (routine) screen for members of each cluster. For four of the clusters, no unique defining SNP could be identified; three of these are closely related (within approximately 20 SNPs) to one or more other clusters and likely represent a single established MDR-TB clade composed of multiple recent subclusters derived from the previously described ECDC0002 cluster.ConclusionThe identified SNP signatures can be integrated into routine pipelines and contribute to the more effective monitoring, rapid and widespread screening for TB. This SNP panel will also support accurate communication between laboratories about previously identified internationally transmitted MDR-TB genotypes.

Integrated plasma proteomics identifies tuberculosis-specific diagnostic biomarkers.

BACKGROUNDNovel biomarkers to identify infectious patients transmitting Mycobacterium tuberculosis are urgently needed to control the global tuberculosis (TB) pandemic. We hypothesized that proteins released into the plasma in active pulmonary TB are clinically useful biomarkers to distinguish TB cases from healthy individuals and patients with other respiratory infections.METHODSWe applied a highly sensitive non-depletion tandem mass spectrometry discovery approach to investigate plasma protein expression in pulmonary TB cases compared to healthy controls in South African and Peruvian cohorts. Bioinformatic analysis using linear modeling and network correlation analyses identified 118 differentially expressed proteins, significant through 3 complementary analytical pipelines. Candidate biomarkers were subsequently analyzed in 2 validation cohorts of differing ethnicity using antibody-based proximity extension assays.RESULTSTB-specific host biomarkers were confirmed. A 6-protein diagnostic panel, comprising FETUB, FCGR3B, LRG1, SELL, CD14, and ADA2, differentiated patients with pulmonary TB from healthy controls and patients with other respiratory infections with high sensitivity and specificity in both cohorts.CONCLUSIONThis biomarker panel exceeds the World Health Organization Target Product Profile specificity criteria for a triage test for TB. The new biomarkers have potential for further development as near-patient TB screening assays, thereby helping to close the case-detection gap that fuels the global pandemic.FUNDINGMedical Research Council (MRC) (MR/R001065/1, MR/S024220/1, MR/P023754/1, and MR/W025728/1); the MRC and the UK Foreign Commonwealth and Development Office; the UK National Institute for Health Research (NIHR); the Wellcome Trust (094000, 203135, and CC2112); Starter Grant for Clinical Lecturers (Academy of Medical Sciences UK); the British Infection Association; the Program for Advanced Research Capacities for AIDS in Peru at Universidad Peruana Cayetano Heredia (D43TW00976301) from the Fogarty International Center at the US NIH; the UK Technology Strategy Board/Innovate UK (101556); the Francis Crick Institute, which receives funding from UKRI-MRC (CC2112); Cancer Research UK (CC2112); and the NIHR Biomedical Research Centre of Imperial College NHS.

Effect of decentralising childhood tuberculosis diagnosis to primary health centre versus district hospital levels on disease detection in children from six high tuberculosis incidence countries: an operational research, pre-post intervention study

Childhood tuberculosis (TB) remains underdiagnosed largely because of limited awareness and poor access to all or any of specimen collection, molecular testing, clinical evaluation, and chest radiography at low levels of care. Decentralising childhood TB diagnostics to district hospitals (DH) and primary health centres (PHC) could improve case detection. We conducted an operational research study using a pre-post intervention cross-sectional study design in 12 DHs and 47PHCs of 12 districts across Cambodia, Cameroon, Côte d'Ivoire, Mozambique, Sierra Leone and Uganda. The intervention included 1) a comprehensive diagnosis package at patient-level with tuberculosis screening for all sick children and young adolescents <15 years, and clinical evaluation, Xpert Ultra-testing on respiratory and stool samples, and chest radiography for children with presumptive TB, and 2) two decentralisation approaches (PHC-focused or DH-focused) to which districts were randomly allocated at country level. We collected aggregated and individual data. We compared the proportion of tuberculosis detection in children and young adolescents <15 years pre-intervention (01 August 2018-30 November 2019) versus during intervention (07 March 2020-30 September 2021), overall and by decentralisation approach. This study is registered with ClinicalTrials.gov, NCT04038632. TB was diagnosed in 217/255,512 (0.08%) children and young adolescent <15 years attending care pre-intervention versus 411/179,581 (0.23%) during intervention, (OR: 3.59 [95% CI 1.99-6.46], p-value<0.0001; p-value=0.055 after correcting for over-dispersion). In DH-focused districts, TB diagnosis was 80/122,570 (0.07%) versus 302/86,186 (0.35%) (OR: 4.07 [1.86-8.90]; p-value=0.0005; p-value=0.12 after correcting for over-dispersion); and 137/132,942 (0.10%) versus 109/93,395 (0.11%) in PHC-focused districts, respectively (OR: 2.92 [1.25-6.81; p-value=0.013; p-value=0.26 after correcting for over-dispersion). Decentralising and strengthening childhood TB diagnosis at lower levels of care increases tuberculosis case detection but the difference was not statistically significant. Unitaid, Grant number 2017-15-UBx-TB-SPEED.

Adapted generative latent diffusion models for accurate pathological analysis in chest X-ray images

Respiratory diseases have a significant global impact, and assessing these conditions is crucial for improving patient outcomes. Chest X-ray is widely used for diagnosis, but expert evaluation can be challenging. Automatic computer-aided diagnosis methods can provide support for clinicians in these tasks. Deep learning has emerged as a set of algorithms with exceptional potential in such tasks. However, these algorithms require a vast amount of data, often scarce in medical imaging domains. In this work, a new data augmentation methodology based on adapted generative latent diffusion models is proposed to improve the performance of an automatic pathological screening in two high-impact scenarios: tuberculosis and lung nodules. The methodology is evaluated using three publicly available datasets, representative of real-world settings. An ablation study obtained the highest-performing image generation model configuration regarding the number of training steps. The results demonstrate that the novel set of generated images can improve the performance of the screening of these two highly relevant pathologies, obtaining an accuracy of 97.09%, 92.14% in each dataset of tuberculosis screening, respectively, and 82.19% in lung nodules. The proposal notably improves on previous image generation methods for data augmentation, highlighting the importance of the contribution in these critical public health challenges.Graphical abstract

Latent Tuberculosis Screening Among New Users of a Biologic or Targeted Synthetic Disease-Modifying Antirheumatic Drug: Gaps in Screening Overall and Among Janus Kinase Inhibitors.

We combined claims and electronic health record (EHR) data to provide contemporary and accurate estimates of latent tuberculosis (TB) screening among new users of a biologic or targeted synthetic disease-modifying antirheumatic drug (b/tsDMARD) and assess potential gaps in testing by drug type, patient characteristics, and practice. Our denominator population was patients in the Rheumatology Informatics System for Effectiveness (RISE) registry and Medicare using a b/tsDMARD in 2018 without a claim or prescription in the year prior. TB screening was assessed in both Medicare and RISE 1 and 3 years before the medication start date. We calculated the proportion screened overall, by medication class, and by practice. We tested for demographic differences in screening using logistic regression. In the year before drug starts, 65.6% of patients had any TB screening; in a 3-year window, 72.9% had any TB screening. Rates of screening within 1 year by drug type were greater or equal to the overall screening rate for most drugs except for JAK inhibitors (JAKis) (46%) and interleukin-17 inhibitors (IL-17is) (11.5%). A lower proportion of Hispanic and Asian patients were screened compared with White patients. Practice screening rates ranged from 20.0% to 92.9% of patients within 1 year. We report higher screening rates than have previously been published because of combining claims and EHR data. However, important safety gaps remain, namely, reduced screening among new users of a JAKi or IL-17i and among Asian and Hispanic patients, as well as low-performing practices. Educational initiatives, team-based care delivery, task shifting, and technological interventions to address observed gaps in patient safety procedures are needed.

Incidence and risk factors for HIV-tuberculosis coinfection in the Cologne-Bonn region: a retrospective cohort study.

The risk of developing active tuberculosis (TB) is considerably increased in people living with HIV/AIDS (PLWH). However, incidence of HIV/TB coinfection is difficult to assess as surveillance data are lacking in many countries. Here, we aimed to perform a quantitative analysis of HIV/TB coinfections within the Cologne/Bonn HIV cohort and to determine risk factors for active TB. We systematically evaluated data of patients with HIV/TB coinfection between 2006 and 2017. In this retrospective analysis, we compared HIV/TB-coinfected patients with a cohort of HIV-positive patients. The incidence density rate (IDR) was calculated for active TB cases at different time points. During 2006-2017, 60 out of 4673 PLWH were diagnosed with active TB. Overall IDR was 0.181 cases/100 patient-years and ranged from 0.266 in 2006-2009 to 0.133 in 2014-2017. Patients originating from Sub-Saharan Africa had a significantly (p < 0.001) higher IDR (0.694/100 patient-years of observation, 95% CI [0.435-1.050]) in comparison to patients of German origin (0.053/100 patient-years of observation, 95% CI [0.028-0.091]). In terms of TB-free survival, individuals originating from countries with a TB incidence higher than 10/100,000 exhibited a markedly reduced TB-free survival compared to those originating from regions with lower incidence (p < 0.001). In 22 patients, TB and HIV infection were diagnosed simultaneously. Overall, we observed a decline in the incidence density rate (IDR) of HIV/TB coinfections between 2006 and 2017. Patients originating from regions with high incidence bear a higher risk of falling ill with active TB. For PLWH born in Germany, the observed risk of active TB appears to be lower compared to other groups within the cohort. These findings should be considered when developing TB containment and screening strategies for PLWH in low-incidence countries.

Prevalence and risk factors of tuberculosis infection in orphanage children in Bali, Indonesia

Background: Tuberculosis (TB) is an infectious disease that causes high morbidity and mortality worldwide. Indonesia ranks third in the most TB cases in 2020 globally. Orphanages are densely populated places with a high risk of transmission, but routine TB screening programs have yet to be carried out. This study aims to find the prevalence of tuberculosis infection and its risk factors in orphanage children. Methods: This study used a cross-sectional approach. The data collected included age, gender, nutritional status, stunting, BCG scars, and abnormalities in physical examination. History, physical examination, and tuberculin test are the screening programs performed. All children with a positive tuberculin test as an induration of 10 mm 72 hours after the tuberculin test underwent a chest X-ray. Results: We conducted tuberculosis screening for 262 children in 15 orphanages in Denpasar and Badung from July to October 2022. There is no known history of contact with active TB sufferers. No active tuberculosis infection was detected. Latent tuberculosis infection (LTBI) occurred in 57 children (21.7%), 48 (84.2%) aged 10-17 years, 28 (49.1%) were male, 54 (94.7%) had normal nutritional status, 13 (22.8%) were stunted, and no BCG scars in 28 (49.1%). No BCG scar was a risk factor for LTBI with OR 2.29 (95% CI 1.06 - 4.97; p 0.03). Conclusion: One-fifth of orphanage children suffer from LTBI, and no BCG scar was a risk factor for LTBI. TB screening should be done routinely and actively in the orphanage.

Comparison of the yield of two tuberculosis screening approaches among household contacts in a community setting of Silti Zone, Central Ethiopia: a prospective cohort study

BackgroundHousehold contacts of tuberculosis (TB) patients are at a greater risk of infection and developing TB as well. Despite recommendations to actively screen such high-risk groups for TB, it is poorly implemented in Ethiopia. A community-based household contact screening was conducted to compare the yield of two different screening approaches and to identify factors associated with TB occurrence.MethodsSmear-positive pulmonary TB index cases from six health facilities in six districts of Silti Zone were identified and enrolled prospectively between September 2020 and December 2022. Trained healthcare workers conducted house visits to screen household contacts for TB. WHO (World Health Organization) recommended symptom-based screening algorithms were used. The yield of screening was compared between a two-time screening at study site I and a single baseline screening at study site II, which is the current programmatic approach. Generalized estimating equation was used to run multivariate logistic regression to identify factors associated with TB occurrence.ResultsA total of 387 index TB cases (193 at site I and 194 at site II) with 1,276 eligible contacts were included for analysis. The TB yield of repeat screening approach did not show a significant difference compared to a single screening (2.3% at site I vs. 1.1% at site II, p < 0.072). The number needed to screen was 44 and 87 for the repeat and single screening, respectively, indicating a high TB burden in both settings. The screening algorithm for patients with comorbidities of asthma and heart failure had a 100% sensitivity, 19.1% specificity and a positive predictive value of 5.6%. Cough [AOR: 10.9, 95%CI: 2.55,46.37], fatigue [AOR: 6.1, 95%CI: 1.76,21.29], daily duration of contact with index case [AOR: 4.6, 95%CI; 1.57,13.43] and age of index cases [AOR: 0.9, 95%CI; 0.91–0.99] were associated with the occurrence of TB among household contacts.ConclusionOur study showed that the yield of TB was not significantly different between one-time screening and repeat screening. Although repeat screening has made an addition to case notification, it should be practiced only if resources permit. Cough, fatigue, duration of contact and age of index cases were factors associated with TB. Further studies are needed to establish the association between older age and the risk of transmitting TB.

Tuberculin skin test result detection method based on CSN-II and improved OTSU method

The tuberculin skin test (TST) is an intradermal test used to diagnose Type IV hypersensitivity reactions caused by Mycobacterium tuberculosis infection. Segmentation of TST result images provides a foundation for large-scale tuberculosis screening and auxiliary diagnosis. This paper presents a specialized method for identifying TST results. Initially, a clustering approach is employed to reduce pixel complexity, followed by a linear transformation using CSN-II to enhance the original RGB space with robust color space properties. Subsequently, high-probability pixel points are located, and their Gaussian kernel convolution range is determined using the Bhattacharyya Distance. Through convolution and iterative feature amplification, the target characteristics are progressively enhanced. Finally, an improved OTSU method is proposed for segmenting TST result images. In this method, an adaptive entropy threshold is utilized to reduce the search range of the OTSU method, enhancing the relative contrast between the target and the background. Moreover, a weighted adjustment is applied to the obtained OTSU threshold to prevent drift towards backgrounds with larger intra-class variances. Experimental results demonstrate that the proposed method achieves higher segmentation accuracy and robustness in TST result image segmentation compared to traditional OTSU methods and other improved approaches, such as the neighborhood valley-emphasis method, logarithmic OTSU, and weighted OTSU, Finally, we calculate a relative value is calculated by dividing the remaining number of segmented pixels by the total number of pixels, we then classify the results based on the relative value and in reference to medical diagnostic standards our method is intended to establish an algorithmic basis for rapid screening and classification of tuberculosis on a large scale.

Integration of HIV Testing in a Community Intervention for Tuberculosis Screening Among Household Contacts of Patients with Tuberculosis in Cameroon and Uganda.

People living with HIV are considered at higher risk of developing severe forms of tuberculosis (TB) disease. Providing HIV testing to TB-exposed people is therefore critical. We present the results of integrating HIV testing into a community-based intervention for household TB contact management in Cameroon and Uganda. Trained community health workers visited the households of index patients with TB identified in 3 urban/semiurban and 6 rural districts or subdistricts as part of a cluster-randomized trial and provided TB screening to all household contacts. Voluntary HIV counseling and testing were offered to contacts aged 5 years or older with unknown HIV status. We describe the cascade of care for HIV testing and the factors associated with the acceptance of HIV testing. Overall, 1983 household contacts aged 5 years or older were screened for TB. Of these contacts, 1652 (83.3%) did not know their HIV status, 1457 (88.2%) accepted HIV testing, and 1439 (98.8%) received testing. HIV testing acceptance was lower among adults than children [adjusted odds ratio (aOR) = 0.35, 95% confidence interval (CI): 0.22 to 0.55], those living in household of an HIV-positive vs HIV-negative index case (aOR = 0.56, 95% CI: 0.38 to 0.83), and contacts requiring a reassessment visit after the initial TB screening visit vs asymptomatic contacts (aOR = 0.20, 95% CI: 0.06 to 0.67) and was higher if living in Uganda vs Cameroon (aOR = 4.54, 95% CI: 1.17 to 17.62) or if another contact of the same index case was tested for HIV (aOR = 9.22, 95% CI: 5.25 to 16.18). HIV testing can be integrated into community-based household TB contact screening and is well-accepted.

Tuberculosis screening in the European migrant population: a scoping review of current practices.

Responding to a surge in new tuberculosis (TB) cases among migrants from high-incidence countries, low-incidence European nations have heeded World Health Organization recommendations by implementing TB screening in this population. This review aims to synthesise evidence on current screening strategies for active TB and latent tuberculosis infection (LTBI) in European high-income countries, and their main barriers and interventions. PubMed, Web of Science and Scopus were searched from March to April 2023, including articles in English, published in the last decade, pertaining to screening strategies for active TB or LTBI in Europe focused on migrants, excluding those exclusively composed of refugees, asylum seekers or other migrant populations. 32 studies fit the criteria. Screening in migrants varies between countries regarding timing, population, screening location and diagnosis. Furthermore, some barriers prevent migrants from benefiting from screening, namely physical, cultural and professional barriers. Additional research is needed to determine the patterns through which regular migrants adhere to current screening strategies in European countries.

Annual tuberculosis screening in patients on biologics has questionable value

Annual tuberculosis screening in patients on biologics has questionable value

Who Transmits Tuberculosis to Whom: A Cross-Sectional Analysis of a Cohort Study in Lima, Peru.

Rationale: The persistent burden of tuberculosis (TB) disease emphasizes the need to identify individuals with TB for treatment and those at a high risk of incident TB for prevention. Targeting interventions toward those at high risk of developing and transmitting TB is a public health priority. Objectives: We aimed to identify characteristics of individuals involved in TB transmission in a community setting, which may guide the prioritization of targeted interventions. Methods: We collected clinical and sociodemographic data from a cohort of patients with TB in Lima, Peru. We used whole-genome sequencing data to assess the genetic distance between all possible pairs of patients; we considered pairs to be the result of a direct transmission event if they differed by three or fewer SNPs, and we assumed that the first diagnosed patient in a pair was the transmitter and the second was the recipient. We used logistic regression to examine the association between host factors and the likelihood of direct TB transmission. Measurements and Main Results: Analyzing data from 2,518 index patients with TB, we identified 1,447 direct transmission pairs. Regardless of recipient attributes, individuals less than 34 years old, males, and those with a history of incarceration had a higher likelihood of being transmitters in direct transmission pairs. Direct transmission was more likely when both patients were drinkers or smokers. Conclusions: This study identifies men, young adults, former prisoners, alcohol consumers, and smokers as priority groups for targeted interventions. Innovative strategies are needed to extend TB screening to social groups such as young adults and prisoners with limited access to routine preventive care.

BCG vaccination and multiple sclerosis risk: A Norwegian cohort study

Introduction: Bacillus Calmette–Guérin (BCG) vaccination induces long-lasting effects on the adaptive and innate immune systems and prevents development of experimental autoimmune encephalomyelitis and possibly also inflammatory disease activity in multiple sclerosis (MS). Objective: The objective is to examine if BCG given in early adulthood decreases MS risk. Methods: From 791,369 (52% females) Norwegians participating in a national tuberculosis screening program from 1963 to 1975, we collected information on BCG vaccination and tuberculosis disease status. Later, MS disease was ascertained through both the Norwegian MS Registry and Biobank and the Norwegian Death Registry. We used logistic regression models to assess the relationship between BCG vaccination and MS risk. Results: In those BCG vaccinated, mean age at vaccination was 15.6 (standard deviation (SD) = 5.5) years. A total of 2862 (65% females) MS cases were retrieved. Overall, we found no association between MS risk and BCG vaccination. Compared to non-BCG-vaccinated individuals with no signs of tuberculosis infection, odds ratio (OR) for MS was 1.00 (95% confidence interval (CI) = 0.80–1.25) in the BCG-vaccinated group. In those not BCG vaccinated because of latent tuberculosis infection, the corresponding OR was 0.86 (95% CI = 0.66–1.13). Conclusion: We found no evidence of BCG vaccination or latent tuberculosis infection in young adulthood being linked to MS risk.

Implementing active surveillance for TB: A descriptive survey of healthcare workers in the Eastern Cape, South Africa.

South Africa is a tuberculosis (TB) high-burden country. In the Eastern Cape (EC), community health worker (CHW) teams implement active surveillance for TB to curb spread in disadvantaged communities. However, achieving the goals of the End-TB strategy require coordinated efforts that implement policy and strengthen health systems. This survey described views of healthcare workers (HCWs) in primary care facilities on factors that influence implementation of active surveillance for TB. This survey was conducted across two districts, among healthcare workers working in TB rooms at primary health facilities. A cross-sectional survey of HCW in the EC. The survey included 37 clinics in the OR Tambo Health District (ORTHD) and 44 clinics in the Nelson Mandela Bay Health District (NMBHD). Routine screening at primary care facilities (88.2%) and contact tracing initiatives (80.8%) were the common modes of TB screening. Tuberculosis screening services in the community were only provided by CHWs in 67.3% of instances. Although CHWs were adequately trained and motivated; the lack of transport, limited availability of outreach team leaders (OTLs) and poor security limited implementation of TB screening services in the community. Comparison between both districts revealed TB screening was limited by lack of transport in the rural district and poor security in the urban context. Community engagement provided a platform for improving acceptability. Community-based TB screening was limited. Inadequate coordination of services between stakeholders in the community has limited reach. Further research should describe that coordinating resource allocation and community empowerment could improve the implementation of active surveillance for TB.Contribution:This study highlights the views of TB room HCWs who believe the opportunity for community-level TB screening is improved with effective leadership and community engagement for acceptability of these services.

Characteristics, management, and outcome of tuberculosis after liver transplant: A case series and literature review

BackgroundLiver transplant recipients are at risk of tuberculosis, which is particularly difficult-to diagnose and to treat in this population. MethodsRetrospective study of all cases of tuberculosis diagnosed from 2007 to 2022 in the French network of liver transplant sites. ResultsTwenty-three liver transplant recipients were diagnosed with tuberculosis (six females, median age 59 years [interquartile range, 54–62]), with a median time lapse of 10 months [5–40.5] after transplant, and 38 days [26–60] after symptoms onset. Primary modes of pathogenesis were latent tuberculosis reactivation (n = 15) and transplant-related transmission (n = 3). Even though most patients with pre-transplant data had risk factors for tuberculosis (11/20), IFN-gamma release assay was performed in only three. Most cases involved extra-pulmonary tuberculosis (20/23, 87 %). With median follow-up of 63 months [24–108], five patients died (22 %), including four tuberculosis-related deaths. ConclusionsExtrapulmonary tuberculosis is a severe disease in liver transplant recipients. Systematic pre-transplant screening of latent tuberculosis may prevent most of them.

Identification of Risk Factors Associated with Tuberculosis in Southwest Iran: A Machine Learning Method.

Tuberculosis is a principal public health issue. Reducing and controlling tuberculosis did not result in the expected success despite implementing effective preventive and therapeutic programs, one of the reasons for which is the delay in definitive diagnosis. Therefore, creating a diagnostic aid system for tuberculosis screening can help in the early diagnosis of this disease. This research aims to use machine learning techniques to identify economic, social, and environmental factors affecting tuberculosis. This case-control study included 80 individuals with TB and 172 participants as controls. During January-October 2021, information was collected from thirty-six health centers in Ahvaz, southwest Iran. Five different machine learning approaches were used to identify factors associated with TB, including BMI, sex, age , marital status, education, employment status, size of the family, monthly income, cigarette smoking, hookah smoking, history of chronic illness, history of imprisonment, history of hospital admission, first-class family, second-class family, third-class family, friend, co-worker, neighbor, market, store, hospital, health center, workplace, restaurant, park, mosque, Basij base, Hairdressers and school. The data was analyzed using the statistical programming R software version 4.1.1. According to the calculated evaluation criteria, the accuracy level of 5 SVM, RF, LSSVM, KNN, and NB models is 0.99, 0.72, 0.97,0.99, and 0.95, respectively, and except for RF, the other models had the highest accuracy. Among the 39 investigated variables, 16 factors including First-class family (20.83%), friend (17.01%), health center (41.67%), hospital (24.74%), store (18.49%), market (14.32%), workplace (9.46%), history of hospital admission (51.82%), BMI (43.75%), sex (40.36%), age (22.83%), educational status (60.59%), employment status (43.58%), monthly income (63.80%), addiction (44.10%), history of imprisonment (38.19%) were of the highest importance on tuberculosis. The obtained results demonstrated that machine-learning techniques are effective in identifying economic, social, and environmental factors associated with tuberculosis. Identifying these different factors plays a significant role in preventing and performing appropriate and timely interventions to control this disease.