For Tuberculosis, Not "To Screen or Not to Screen?" but "Who?" and "How?"

Active case finding leveraging new molecular diagnostics and chest X-rays with automated interpretation algorithms is increasingly being developed for high-risk populations to drive down tuberculosis incidence. We consider why such an approach did not deliver a decline in tuberculosis prevalence in Brazilian prison populations and what to consider next.

Proactive case finding of alcohol-related liver disease in high-risk populations: A systematic review.

BACKGROUND: Alcohol-related liver disease (ARLD) is often diagnosed at a late stage when mortality is unacceptably high. Earlier identification of ARLD may lead to reduced alcohol intake, participation in hepatocellular carcinoma surveillance and reduction in liver-related morbidity and mortality. People with alcohol use disorder (AUD) are at highest risk of ARLD. The aim of this systematic review was to understand the yield of proactive screening for ARLD amongst high-risk groups. METHODS: Embase, Medline, Scopus and grey literature were searched for studies describing proactive assessment for alcohol-related liver disease in people with a history of alcohol excess or diagnosed AUD. Outcomes of interest were fibrosis and cirrhosis detection rates, clinical outcomes, portal hypertension evaluation, attendance at follow-up and cost-effectiveness. RESULTS: Fifteen studies were identified for inclusion from 1115 returned by the search. Four key settings for patient engagement were identified as inpatient addiction services, outpatient addiction services, general acute hospital admissions and community outreach. Of these, acute hospital admissions were the highest yield for cirrhosis at 10.8%-29.6% and community outreach the lowest was 1.2%-2.3%. CONCLUSIONS: Targeted fibrosis assessment of high-risk populations for ARLD is feasible to conduct and identifies a proportion of patients at risk of advanced liver disease. The highest yield is amongst inpatients admitted with AUD. Prospective work is needed to establish which are the most effective and acceptable screening methods and the impact on long-term outcomes.

Presence of tuberculosis symptoms among HIV-positive men who have sex with men (MSM) in Zimbabwe.

We conducted secondary data analysis using a biobehavioral survey dataset of 1538 MSM from Zimbabwe. Survey participants were screened for the four symptoms suggestive of tuberculosis infection using the WHO TB screening algorithm. Results: All participants experienced at least one symptom suggestive of tuberculosis. 40% of HIV-positive MSM reported having had a cough in the last month and 13% of them experienced unexpected weight loss. The prevalence of experiencing any of the four TB symptoms amongst HIV-positive MSM was 23%. Contribution There is an urgent need for active TB case finding and treatment amongst HIV-positive MSM in Zimbabwe. Clinicians will need to ensure that MSM who need TB testing receive it timeously.

Active Case Finding for Tuberculosis in Migrants: a Systematic Review.

Background: Active case finding (ACF) is an alternative strategy to accelerate the identification of TB cases among the migrant population. Objective: This study aimed to synthesize the evidence for the effectiveness of ACF TB in migrants. Methods: This study uses the PRISMA model as a method of searching for journal articles in the databases of Google Scholar, ProQuest, EBSCO, ScienceDirect, Elsevier, and PubMed, as well as other sources such as textbooks and reports from 2017 to 2021 with the keywords "tuberculosis" AND "active case finding" AND "migrant". The search revealed 371 articles, of which 26 met the criteria for further discussion. Results: Most studies show that the TB incidence among migrants is higher than in the local population. Factors leading to increased cases include lack of knowledge about the symptoms, high mobilization, social isolation, economic problems, and medication adherence that impact an advanced stage. Furthermore, it is also influenced by the low quality of health services, including accessibility, health facilities, health workers, and information. Therefore, Active Case Finding (ACF) is more effective in identifying cases of TB in the risk groups. This was conducted on migrants with increased notifications followed up with treatment. Conclusion: ACF is effective approach in screening and diagnosing TB in the migrant group.

Active case finding of tuberculosis among nomads and semi-nomads in Puducherry.

Context: Tuberculosis (TB), is a global epidemic and communicable disease that accounts for increased global mortality and morbidity. India is also marching towards the elimination of tuberculosis by 2025 with this background we conducted this study. Aims: To identify the undiagnosed TB cases in nomadic and semi-nomadic populations of Puducherry. Settings and Design: A community-based cross-sectional study was done among nomads and semi-nomads in Puducherry for four months between May 2022 to September 2022 after getting the Institute's ethical committee approval. Methods and Material: After obtaining written consent/assent, a pretested semi structured questionnaire was used to record the data. The questionnaire consists of three parts that include, sociodemographic details and history specific to tuberculosis based on operational definitions such as presumptive TB and physical examination. Those participants fulfilling the criteria for presumptive TB was provided a Falcon tube for spot sample. The participants were explained the procedure to collect the sputum and its quality was verified by the principal investigator before sending it to the laboratory. Statistical analysis used: Data was analysed with Statistical Package for Social Science (SPSS Inc, Chicago, Illinois, USA) software version 16.0 and Microsoft Excel 2016. Frequencies and percentages were estimated for categorical data. Results: Our study showed 6.25% was the proportion of presumptive TB cases in our study population. In the presumptive TB cases 60% belonged to age >45yrs 80% belonged to the male gender and all of them belonged to lower socioeconomic status. The macro-environment findings of those presumptive TB cases were 80% belonged Kutcha houses, with poor ventilation and overcrowding present. Their co-morbidity status indicates 60% were diabetics and 20% were hypertensive. Their predominant findings were 80% reported Cough and 20% fever, significant weight loss. No contact history of TB was found. When these presumptive TB cases underwent microbiological examination, none were sputum positive. Conclusions: This study showed ACF helped to identify presumptive TB in an effective way and needs large-scale screening to identify sputum-positive cases.

Development and Validation of Case-Finding Algorithms to Identify Pancreatic Cancer in the Veterans Health Administration.

BACKGROUND: Survival in pancreatic ductal adenocarcinoma (PDAC) remains poor due to late diagnosis. Electronic Health Records (EHRs) can be used to study this rare disease, but validated algorithms to identify PDAC in the United States EHRs do not currently exist. AIMS: To develop and validate an algorithm using Veterans Health Administration (VHA) EHR data for the identification of patients with PDAC. METHODS: We developed two algorithms to identify patients with PDAC in the VHA from 2002 to 2023. The algorithms required diagnosis of exocrine pancreatic cancer in either ≥ 1 or ≥ 2 of the following domains: (i) the VA national cancer registry, (ii) an inpatient encounter, or (iii) an outpatient encounter in an oncology setting. Among individuals identified with ≥ 1 of the above criteria, a random sample of 100 were reviewed by three gastroenterologists to adjudicate PDAC status. We also adjudicated fifty patients not qualifying for either algorithm. These patients died as inpatients and had alkaline phosphatase values within the interquartile range of patients who met ≥ 2 of the above criteria for PDAC. These expert adjudications allowed us to calculate the positive and negative predictive value of the algorithms. RESULTS: Of 10.8 million individuals, 25,533 met ≥ 1 criteria (PPV 83.0%, kappa statistic 0.93) and 13,693 individuals met ≥ 2 criteria (PPV 95.2%, kappa statistic 1.00). The NPV for PDAC was 100%. CONCLUSIONS: An algorithm incorporating readily available EHR data elements to identify patients with PDAC achieved excellent PPV and NPV. This algorithm is likely to enable future epidemiologic studies of PDAC.

Diagnostic Accuracy of Computer-Aided Detection During Active Case Finding for Pulmonary Tuberculosis in Africa: A Systematic Review and Meta-analysis.

Background: Computer-aided detection (CAD) may be a useful screening tool for tuberculosis (TB). However, there are limited data about its utility in active case finding (ACF) in a community-based setting, and particularly in an HIV-endemic setting where performance may be compromised. Methods: We performed a systematic review and evaluated articles published between January 2012 and February 2023 that included CAD as a screening tool to detect pulmonary TB against a microbiological reference standard (sputum culture and/or nucleic acid amplification test [NAAT]). We collected and summarized data on study characteristics and diagnostic accuracy measures. Two reviewers independently extracted data and assessed methodological quality against Quality Assessment of Diagnostic Accuracy Studies-2 criteria. Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Diagnostic Test Accuracy Studies (PRISMA-DTA) guidelines were followed. Results: Of 1748 articles reviewed, 5 met with the eligibility criteria and were included in this review. A meta-analysis revealed pooled sensitivity of 0.87 (95% CI, 0.78-0.96) and specificity of 0.74 (95% CI, 0.55-0.93), just below the World Health Organization (WHO)-recommended target product profile (TPP) for a screening test (sensitivity ≥0.90 and specificity ≥0.70). We found a high risk of bias and applicability concerns across all studies. Subgroup analyses, including the impact of HIV and previous TB, were not possible due to the nature of the reporting within the included studies. Conclusions: This review provides evidence, specifically in the context of ACF, for CAD as a potentially useful and cost-effective screening tool for TB in a resource-poor HIV-endemic African setting. However, given methodological concerns, caution is required with regards to applicability and generalizability.

Patient and Community Health Global Burden in a World With More Celiac Disease.

Celiac disease is one of the most common life-long disorders worldwide, with a prevalence ranging between 0.7% and 2.9% in the general population and a higher frequency in females and well-defined at-risk groups, such as relatives of affected individuals and patients with autoimmune comorbidities. Increasing clinical detection is facilitated by improving awareness, implementation of a case-finding approach, and serology availability for screening at-risk patients, among other factors. Nevertheless, due to huge clinical variability, many celiac disease cases still escape diagnosis in most countries, unless actively searched by proactive policies. The burden of celiac disease is increasing, as is the need for better longitudinal care. Pediatric screening of the general population could represent the road ahead for an efficient intervention of secondary prevention aimed to reduce the social and health burden of celiac disease. This review analyses the epidemiology of celiac disease continent by continent, discusses current strategies to improve the detection of celiac disease, and highlights challenges related to the burden of celiac disease globally.

The Chinese translation and cross-cultural adaptation of PRISMA-7 questionnaire: an observational study to establish the accuracy, reliability and validity.

BACKGROUND: Frailty is a health condition linked to adverse health outcomes and lower life quality. The PRISMA-7, a 7-item questionnaire from the Program on Research for Integrating Services for the Maintenance of Autonomy (PRISMA), is a validated case-finding tool for frailty with good sensitivity and specificity. This study aimed to translate, culturally adapt, and validate the PRISMA-7 questionnaire for Chinese use. METHODS: A prospective observational study with convenience sampling recruited bilingual adults aged 65 and over living in the community. The Functional Autonomy Measurement System (SMAF) was the gold standard benchmark. The English PRISMA-7 questionnaire was culturally adapted to Chinese using forward and backward translation. Intra- and inter-rater reliability were determined using the intraclass correlation coefficient (ICC). Face, content and criterion validity were determined. The Receiver Operator characteristic (ROC) curve determined the optimal cut-off score. RESULTS: One-hundred-twenty participants (55 females and 65 males) were recruited. The Chinese PRISMA-7 questionnaire had excellent intra-rater and inter-rater reliability (ICC = 1.000). The rigorous forward and backward translation established the face and content validity. The moderately high correlations between the English PRISMA-7 with SMAF (r = - 0.655, p <  0.001) and Chinese PRISMA-7 with SMAF (r = - 0.653, p <  0.001) pairs established the criterion validity. An optimal cut-off score of three "Yes" responses was reported with 100% sensitivity and 85.3% specificity. CONCLUSION: This translation, cross-cultural adaptation, and validation study established the Chinese PRISMA-7 questionnaire. The preliminary results suggest adequate diagnostic test accuracy for frailty screening among the Chinese-literate community.

Systematic review and meta-analysis of the prevalence, incidence and treatment outcomes of tuberculosis in Egypt: updated overview.

Background: Tuberculosis (TB) is a major cause of morbidity and mortality globally. Understanding its epidemiology and burden is critical for targeted interventions. Aim: To highlight the prevalence, incidence and treatment outcomes of TB in Egypt during the last 2 decades. Methods: For this systematic review and meta-analysis, we searched Medline/PubMed, ResearchGate, Google Scholar, and Scopus databases. We searched the local databases for unpublished studies, and the reports of international agencies, applying clear inclusion and exclusion criteria. The search covered prevalence; incidence; treatment outcomes; age, gender and residence of patients; and type of TB. Data were analyzed using STATA version 16.0. Pooled estimates with 95% confidence interval (CI) were calculated using a random effects model. Odds ratio (OR) with 95% CI was used as effect measures for related variables. Heterogeneity across studies was assessed using the I² statistic with sub-group analysis. Results: A total of 23 studies from 22 governorates, out of 27 governorates, involving a 139 597 study population met the eligibility requirements with no publication bias. The pooled prevalence was 8.70 (95% CI: 5.80-12.41, I² = 92.7%) and the pooled incidence was 9.10 (95% CI: 6.65-14.86, I² = 95.5%) per 100 000 population. About 82.6% of cases showed cured/completed treatment, 4.4% failure of treatment, and 3.9% died. In the subgroup analyses, the odds of TB prevalence were higher among males than females (2.05; 95% CI: 1.44-3.28), among those living in rural than in urban areas (1.29; 95% CI: 0.61-1.97), in Upper Egypt and Greater Cairo than in Lower Egypt and Delta Region (1.85; 95% CI: 0.97-4.15). The odds of pulmonary TB prevalence were higher than the extrapulmonary TB (2.43; 95% CI: 1.63-5.71). The odds of the treatment cases who were cured/completed (1.04; 95% CI: 0.96-1.51), failed (1.71; 95% CI: 1.35-2.73), and died (1.12; 95% CI: 0.87-1.60) were higher in Lower Egypt than in Upper Egypt. Conclusion: TB incidence decreased in Egypt over the last two decades, but treatment outcomes were unsatisfactory, with variations across the different regions. To achieve TB eradication in Egypt, efforts should be made to sustain the TB control strategy by improving treatment outcomes and intensifying case finding and surveillance reporting.

Missed opportunities in the prevention and diagnosis of pediatric tuberculosis: a scoping review.

OBJECTIVES: Identify potential barriers, delays, and missed opportunities in the prevention and diagnosis of childhood TB. METHODS: Scoping review according to the PRISMA extension. The definitions considered for the selection followed the acronym PCC where the population (P) is children under 18 years of age with TB disease, the concept (C) refers to missed opportunities for prevention and diagnosis, and context (C) is defined as a diagnosis of TB disease. The authors searched systematically in the databases; VHL/Lilacs, Medline via PubMed, Cochrane, Scopus, and Web of Science, without date or language limitation. RESULTS: Seven studies were included. In developed countries, with low disease burden, the main shortcoming is the delay in diagnosing bacilliferous adults in contact with young children. This problem is concentrated in the portion of the population with socioeconomic vulnerability. In underdeveloped countries, with a high burden of disease, the biggest challenge is tracking children who come into contact with bacilliferous patients. CONCLUSIONS: There are still many missed opportunities in the prevention and diagnosis of childhood TB. The positive legacy of the COVID-19 pandemic should be taken advantage of and the encouragement of scientific development in the management of infectious diseases should be taken.

Active case-finding of tuberculosis compared with symptom-driven standard of care: a modelling analysis.

BACKGROUND: In settings with large case detection gaps, active case-finding (ACF) may play a critical role in the uberculosis (TB) response. However, ACF is resource intensive, and its effectiveness depends on whether people detected with TB through ACF might otherwise spontaneously resolve or be diagnosed through routine care. We analysed the potential effectiveness of ACF for TB relative to the counterfactual scenario of routine care alone. METHODS: We constructed a Markov simulation model of TB natural history, diagnosis, symptoms, ACF and treatment, using a hypothetical reference setting using data from South East Asian countries. We calibrated the model to empirical data using Bayesian methods, and simulated potential 5-year outcomes with an 'aspirational' ACF intervention (reflecting maximum possible effectiveness) compared with the standard-of-care outcomes. RESULTS: Under the standard of care, 51% (95% credible interval, CrI: 31%, 75%) of people with prevalent TB at baseline were estimated to be diagnosed and linked to care over 5 years. With aspirational ACF, this increased to 88% (95% CrI: 84%, 94%). Most of this difference represented people who were diagnosed and treated through ACF but experienced spontaneous resolution under standard-of-care. Aspirational ACF was projected to reduce the average duration of TB disease by 12 months (95% CrI: 6%, 18%) and TB-associated disability-adjusted life-years by 71% (95% CrI: 67%, 76%). CONCLUSION: These data illustrate the importance of considering outcomes in a counterfactual standard of care scenario, as well as trade-offs between overdiagnosis and averted morbidity through earlier diagnosis-not just for TB, but for any disease in which population-based screening is recommended.

Optimized Case Finding of tuberculosis among key populations in Ukraine. A follow up study.

INTRODUCTION: In 2021, there were 4 million tuberculosis (TB) cases that were not detected by health systems, globally. Many of those cases are among hard-to-reach populations or key population groups. An Optimized Case Finding (OCF) strategy was introduced in Ukraine to enhance case detection and identify those "missing" cases. OCF included screening of up to eight referred household and social network contacts of an index TB case. Following the OCF project implementation, TB detection and characteristics of index cases and contacts were assessed. METHODOLOGY: A cohort study using project data (July 2018 - April 2022) was conducted. RESULTS: In total 7,976 close contacts were engaged in the project from 1,028 index TB cases. Among the contacts, 507 were diagnosed with TB. The TB case detection was 6,356/100,000 and the number needed to investigate was 16. Multiple factors were identified as associated with TB detection including smoking, HIV, poverty, etc. About 90% of cases were identified at the initial screening of the contacts. OCF was proven to be 5.8 times more effective than the standard active case finding using household surveys and 106 times more effective than passive case finding in the general public. CONCLUSIONS: Our study demonstrated the effectiveness of OCF in detecting cases among key population groups and their social networks. We encourage adaptation and use of OCF by civil society organizations that already work with key vulnerable populations around the globe.

Pooled sputum testing by Xpert® MTB/RIF Ultra for active tuberculosis case finding among high-risk groups in a low-incidence area: a prospective study.

BACKGROUND: Early detection and treatment of tuberculosis (TB) are of great importance to stop its spread. However, optimising the active case findingstrategy is critical to improving its feasibility in regions where TB is epidemic. METHOD: The different pooled ratios between TB-positive and TB-negative sputum specimens were evaluated and a pooling ratio of 5:1 was used for the active case finding screening by Xpert MTB/RIF Ultra among high-risk groups in Beijing. RESULTS: The sensitivity of pooling ratio at 5:1 was 97.5% (39/40). Between October 2022 and March 2023, among 17,681 participants, 1729 metthe active case finding criteria and were screened by 350 5:1 sputum pools by Xpert MTB/RIF Ultra. Four pools (1.1%) tested positive and were further confirmed as definite active TB cases. In our study population with high TB incidence (231/100,000), the cost for detection of individual patients was reduced by 77.4% at a 5:1 pooling ratio. CONCLUSIONS: pooled sputum testing at a suitable ratio using Xpert MTB/RIF Ultra provides a rapid, efficient, and cost-effective method for active TB case finding among high-risk groups in a low-incidence area.

TB-free Ebeye: Results from integrated TB and noncommunicable disease case finding in Ebeye, Marshall Islands.

Background: Tuberculosis (TB) incidence rates in the Republic of the Marshall Islands are among the highest in the world, 480/100,000 in 2017. In response, the Health Ministry completed islandwide screening in Ebeye Island in 2017. Methods: Participants were interviewed to obtain TB history, exposures, and symptoms. TB assessment included chest radiography with sputum collection for GeneXpert® MTB-RIF if indicated. TB diagnosis was made by consensus of visiting TB experts. Participants were also screened for Hansen's disease (HD) and diabetes mellitus (DM). For persons aged ≥21 years, blood pressure, cholesterol, and blood glucose were assessed. Results: A total of 5,166 persons (90.0 % of target population) completed screening leading to the identification of 39 new cases of TB (755/100,000) and 14 persons with HD (270/100,000). DM was detected in 1,096 persons (27 %), including in 351 persons not previously diagnosed. The rate of hypertension was 61 % and of hypercholesterolemia was 15 %. New or prevalent TB diagnosis was associated with newly diagnosed or history of DM (aOR 4.68, 2.15-10.20). Conclusions: In Ebeye, an integrated TB screening campaign found TB, HD, DM, and hypertension. TB and DM were strongly associated.

Applicability of artificial intelligence-based computer-aided detection (AI-CAD) for pulmonary tuberculosis to community-based active case finding.

BACKGROUND: Artificial intelligence-based computer-aided detection (AI-CAD) for tuberculosis (TB) has become commercially available and several studies have been conducted to evaluate the performance of AI-CAD for pulmonary tuberculosis (TB) in clinical settings. However, little is known about its applicability to community-based active case-finding (ACF) for TB. METHODS: We analysed an anonymized data set obtained from a community-based ACF in Cambodia, targeting persons aged 55 years or over, persons with any TB symptoms, such as chronic cough, and persons at risk of TB, including household contacts. All of the participants in the ACF were screened by chest radiography (CXR) by Cambodian doctors, followed by Xpert test when they were eligible for sputum examination. Interpretation by an experienced chest physician and abnormality scoring by a newly developed AI-CAD were retrospectively conducted for the CXR images. With a reference of Xpert-positive TB or human interpretations, receiver operating characteristic (ROC) curves were drawn to evaluate the AI-CAD performance by area under the ROC curve (AUROC). In addition, its applicability to community-based ACFs in Cambodia was examined. RESULTS: TB scores of the AI-CAD were significantly associated with the CXR classifications as indicated by the severity of TB disease, and its AUROC as the bacteriological reference was 0.86 (95% confidence interval 0.83-0.89). Using a threshold for triage purposes, the human reading and bacteriological examination needed fell to 21% and 15%, respectively, detecting 95% of Xpert-positive TB in ACF. For screening purposes, we could detect 98% of Xpert-positive TB cases. CONCLUSIONS: AI-CAD is applicable to community-based ACF in high TB burden settings, where experienced human readers for CXR images are scarce. The use of AI-CAD in developing countries has the potential to expand CXR screening in community-based ACFs, with a substantial decrease in the workload on human readers and laboratory labour. Further studies are needed to generalize the results to other countries by increasing the sample size and comparing the AI-CAD performance with that of more human readers.

Cost-Effectiveness of Community-Based Active Case Finding Strategy for Tuberculosis: Evidence from Shenzhen, China.

BACKGROUND: Active case finding (ACF) is a potentially promising approach for the early identification and treatment of tuberculosis (TB) patients. However, evidence on its cost-effectiveness, particularly in low- and middle-income countries, remains limited. This study evaluates the cost-effectiveness of a community-based ACF practice in Shenzhen, China. METHODS: We employed a Markov model-based decision analytic method to assess the costs and effectiveness of three TB detection strategies: PCF, basic ACF, and advanced ACF. The analysis was conducted from a societal perspective on a dynamic cohort over a 20-year horizon, focusing on active TB (ATB) prevalence and the incremental cost-effectiveness ratio (ICER). RESULTS: Compared to the PCF strategy, the basic and advanced ACF strategies effectively reduced ATB cases by 6.8 and 10.2 per 100,000 population, respectively, by the final year of this 20-year period. The ICER for the basic and advanced ACF strategies were ¥14,757 and ¥8,217 per QALY (short for quality-adjusted life-years), respectively. Both values fell below the cost-effectiveness threshold. CONCLUSION: Our findings indicate that the community-based ACF screening strategy, which targets individuals exhibiting TB symptoms, is cost-effective. This underscores the potential benefits of adopting similar community-based ACF strategies for symptomatic populations in TB-endemic areas.

Diagnostic accuracy of a novel point-of-care test for simultaneous detection of anti-transglutaminase IgA and anti-deamidated gliadin IgG antibodies.

BACKGROUND: Point-of-care tests (POCTs) may have a role in detecting undiagnosed cases of Celiac disease (CD). We assessed the diagnostic accuracy of a novel POCT, compared with the conventional serological methods, for simultaneous anti-transglutaminase (tTG) IgA and anti-deamidated gliadin (DGP) IgG antibody detection. Furthermore, we evaluated the effect of different biological matrices (whole blood and serum) on test performance. METHODS: Serum and whole blood from celiac or suspected celiac patients who underwent duodenal biopsy were assayed for the presence of anti-tTG IgA and anti-DGP IgG both with the reference standard methods (Thermo Fisher Scientific, Uppsala, Sweden) and with the POCT (PRIMA Lab SA, Balerna, Switzerland). RESULTS: 266 sera (101 negative and 165 positive) and 60 whole blood samples (34 positive and 26 negative) were included in the study. POCT for anti-DGP IgG showed a sensitivity of 84.3% and a specificity of 90.1%, with positive (PPV) and negative predictive values (NPV) of 91.07% and 82.73%. POCT for anti-tTG IgA showed a sensitivity of 98.31% and a specificity of 98.02%, with a PPV and NPV of 98.31% and 98.02%. Test accuracies were 86.94% and 98.17%, respectively. The agreement of the results between the two different matrices showed a strong correlation rate: 95% for anti-DGP IgG and 100% for anti-tTG IgA. CONCLUSION: The anti-tTG IgA/anti-DGP IgG-based POCT showed good diagnostic accuracy with comparable sensitivities and specificities to reference standard methods in detecting CD in symptomatic patients and could be considered as a mass screening test before referring to conventional serology.

Ensuring Continuity of Tuberculosis Care during Social Distancing through Integrated Active Case Finding at COVID-19 Vaccination Events in Vietnam: A Cohort Study.

COVID-19 significantly disrupted tuberculosis (TB) services in Vietnam. In response, the National TB Program (NTP) integrated TB screening using mobile chest X-rays into COVID-19 vaccination events. This prospective cohort study evaluated the integrated model's yield, treatment outcomes, and costs. We further fitted regressions to identify risk factors and conduct interrupted time-series analyses in the study area, Vietnam's eight economic regions, and at the national level. At 115 events, we conducted 48,758 X-ray screens and detected 174 individuals with TB. We linked 89.7% to care, while 92.9% successfully completed treatment. The mean costs per person diagnosed with TB was $547. TB risk factors included male sex (aOR = 6.44, p < 0.001), age of 45-59 years (aOR = 1.81, p = 0.006) and ≥60 years (aOR = 1.99, p = 0.002), a history of TB (aOR = 7.96, p < 0.001), prior exposure to TB (aOR = 3.90, p = 0.001), and symptomatic presentation (aOR = 2.75, p < 0.001). There was a significant decline in TB notifications during the Delta wave and significant increases immediately after lockdowns were lifted (IRR(γ1) = 5.00; 95%CI: (2.86, 8.73); p < 0.001) with a continuous upward trend thereafter (IRR(γ2) = 1.39; 95%CI: (1.22, 1.38); p < 0.001). Similar patterns were observed at the national level and in all regions but the northeast region. The NTP's swift actions and policy decisions ensured continuity of care and led to the rapid recovery of TB notifications, which may serve as blueprint for future pandemics.

Finding the missing many: improving Tuberculosis care in Kajiado county through active case finding and community approaches.

BACKGROUND: Tuberculosis related deaths remain a priority globally. Despite advancements in TB care, access to quality care remains inequitable to the disadvantage of those in rural and urban informal settlements. The Awareness, Traditions, and Innovation in combating Tuberculosis (ATI TB) project incorporated active case finding (ACF), use of GeneXpert technology and decentralized services to improve TB care in Kajiado County. This study sought to establish the impact of the project as well as implementation lessons learnt during its tenure in Kajiado County, Kenya. METHODS: This evaluation adopted a mixed-methods approach with retrospective cohort analysis for the quantitative data and qualitative data sought through key informant interviews with 28 purposively sampled respondents. The qualitative data was analyzed thematically using Taguette while quantitative data was analyzed using R Software yielding descriptive statistics and measures of association. RESULTS: While the males were a minority among the presumptive cases (623; 46%), they were the majority (59.3%) among the confirmed TB cases. 70% of the confirmed cases were aged between 15 and 44 years; with those aged between 25- and 34-years being majority (30% of the cases). Majority of the confirmed cases within the project were from rural Kajiado West (79; 66.9%). Though 61% of the presumptive cases were through ACF, only 7% of these tested positive. Conversely, 13% of the self-referrals tested positive. 53% (66) of the positive cases with valid data were self-referrals while ACF accounted for 47% (58) of the positives. CONCLUSION: Continued capacity development among health workers, sustained and targeted sensitization and screening among vulnerable groups, strategic collaborations, alongside increased budgetary prioritization of health and TB care by government and partners, and government investments in Social Determinants of Health can ensure gains in TB care are sustained.