Presumptive Cases Research Articles

Outpatient-department-based intensified tuberculosis case-finding activity in the tertiary care hospitals in West Bengal, India.: An observational study on the yields and outputs

BackgroundImproved tuberculosis (TB) case detection using intensified case finding (ICF) is one of the cornerstones of the Stop TB Strategy. A Non-Government Organization (NGO)-led project took place in two tertiary care hospitals of West Bengal for outpatient department (OPD)-based ICF activities. Methodology: A secondary analysis was conducted with the routinely collected project data to assess the yields of the model. Risk ratios have been calculated to identify associations of attrition before TB testing and diagnosis. ResultsA total of 2324 presumptive TB patients (PTBP) were identified from a screening of 105,391 OPD attendees. The screening yield of PTBP was 2.2 % (2.1%–2.3 %). Total 143 TB patients were detected with testing of 770 (out of 2324 identified) presumptive cases. The pretesting attrition rate was 66.9 % (64.9%–68.8 %). The screening yield of TB was 0.14 % (0.11%–0.16 %).Being younger than fifteen years of age, of the Islam religion, a homemaker or unemployed was independently associated with “attrition before TB tests”.Being Hindu, a homemaker or a student was independently associated with “diagnosis with TB” among the tested. ConclusionsThe OPD-based screening yield of TB is low. However, minimal resource requirements in this model advocate for its utility. Similar model can be replicated in other hospitals at low resource settings with appropriate setting-specific modifications.

Bloch–Sulzberger syndrome (Incontinentia pigmenti)

Bloch–Sulzberger syndrome or Incontinentia pigmenti is a genetic disease that causes skin pathology in the first days of a child's life and is suspected of identifying the disease.
 The article presents the characteristic signs of this syndrome and the pronounced manifestations of the disease. A presumptive case of a girl born in a family without a burdened anamnesis: the first manifestations of the disease appeared on the fifth day of life, were represented by linearly arranged vesicular-bullous rashes on an erythematous background and were regarded as a skin infection. Due to the ineffectiveness of the therapy, the patient was consulted by a dermatovenerologist, geneticist, neurologist. The child was consulted again at 5.5 years old: the article presents the data of a medical and genetic study and distant clinical signs of this syndrome in the form of hyperpigmented spots in combination with foci of atrophy, alopecia and dental anomalies in the sixth year of life.
 Thus, the clinical signs of Bloch–Sulzberger syndrome made it possible to diagnose the disease at the newborn stage, which, in turn, helped to avoid unjustified prescribing of various systemic medications, to develop an individual treatment plan for the child and, as a result, contributed to the prevention of the development of complications of the disease and to improve the patient's quality of life.

Management of drug-resistant tuberculosis in Indonesia: a four-year cascade of care analysis

In Indonesia, drug resistance testing for TB largely relies on Xpert MTB/RIF, and it is unknown what proportion of drug-resistant (DR) TB is adequately diagnosed and treated. We conducted a cascade of care analysis on a cohort of presumptive rifampicin-resistant (RR) TB patients registered in 2015-2018 in a tertiary hospital in Indonesia. Estimated incidences of (presumptive) DR-TB cases were assumption-based using global reports. Data on diagnosis and consecutive cascades steps, including their timing were collected from national electronic registers, and medical records. We described a secondary cascade for patients receiving treatment not supported by phenotypic drug susceptibility testing (pDST). Factors associated with delay and loss between diagnosis and treatment were identified using logistic regression. Less than a third of estimated incident TB cases at risk of DR-TB were identified as presumptive DR-TB case and tested, and 9.8% (982/10,065) of estimated true DR-TB cases was diagnosed. Of those diagnosed, only 45.1% (443/982) had treatment regimens supported by pDST results, but this did not significantly influence treatment outcomes. Only 25.5% (250/982) of diagnosed patients completed all steps of the cascade including successful treatment. Delays between diagnosis and treatment were substantial, and more common among those referred from a primary healthcare facility, and among those who were employed, living outside of Bandung, and reporting engagement with the private sector. The DR-TB care cascade in this urban setting in Indonesia is characterized by substantial attrition and delays. Strategies to increase access to DR-TB diagnosis accompanied by optimisation of clinical care could substantially improve outcomes and reduce onward transmission. Radboud university medical center and University of Otago.

The magnitude of health care seeking delay and associated factors for tuberculosis suggestive symptoms in Sidama Region Ethiopia: Community-based cross-sectional study

BackgroundHealth care seeking delay for tuberculosis suggestive symptoms is a great challenge for controlling the disease. Therefore, the study aimed to determine the magnitude and identify factors associated with delayed healthcare seeking among presumptive tuberculosis cases for suggestive tuberculosis symptoms. MethodsA community-based cross-sectional study was conducted among 476 subjects with symptoms suggestive of tuberculosis. Data were collected using a structured questionnaire, entered into Epi-data software version 3.1, and exported to SPSS software version 25.0 for analysis. The multivariable logistic regression models included variables like sex, marital status, knowledge, education level, and distance from health facility that show a significant association with health care seeking delay in the binary logistic regression at a P value 0.25. Tables, graphs, and charts were then used to display the results. ResultThe proportion of delayed health care seeking was found to be 46.7 % (95 % CI, 43.5–48.9). The study also revealed that being married, not attending formal education, having a lower monthly income, and having poor knowledge of tuberculosis were significantly associated with delayed tuberculosis-suggestive symptoms. ConclusionIn this study, delays in health care seeking among TB-suspected patients were high compared to the Ethiopian Ministry of Health target. Different systems should be built to increase community awareness of health care.

Impact of COVID-19 Pandemic on Tuberculosis Care and Treatment in Puducherry - A Mixed Method Study.

The shift of focus toward pandemic control had an impact on public health issues that need to be addressed. As the impact may vary in the different areas based on COVID-19 cases and strictness of measures to control the disease, studying the local situation and related factors is essential to strengthening the TB program. The objective is to compare the TB care before and during the COVID-19 pandemic and to explore the challenges faced by stakeholders during the pandemic. A mixed method study was conducted in Puducherry with a quantitative phase involving data extraction from the National TB Elimination Programme (NTEP), followed by in-depth interviews to explore the challenges faced by stakeholders. In 2020, there were 67% and 23% reductions in number of presumptive TB case and notified TB cases, respectively, while the decline was lesser in the year 2021 (reduction of 59% and 13%, respectively). The main challenges faced in providing and accessing TB care were social stigma, lockdown restrictions, fear of getting COVID-19, redeployment of staff to COVID-19-related activities and increased COVID-19 workload. There is a need to strengthen active case finding for the missed TB cases through the mobile vans equipped with diagnostics, combined testing for COVID-19 and TB, greater inclusion of private sector and dispensaries as well as community awareness for stigma prevention.

Incremental yield of serial sputum examinations in the diagnosis of pulmonary tuberculosis in Taiwan: Findings of a pragmatic trial

BackgroundPresumptive tuberculosis (TB) cases commonly had two to three sputum examinations in Taiwan. The incremental yield of serial sputum examinations has not been assessed before. MethodsIn a pragmatic trial, presumptive TB patients with a frontline nucleic acid amplification test (NAAT) were classified as group A. Those without a frontline NAAT were randomized into group B frontline NAAT as intervention, and group C usual care. We investigated expected incremental yields and the number of examinations required for detection of one additional TB case from each serial sputum smear and culture. ResultsOf 6835 presumptive TB cases, 395 (5.8%) were smear positive for acid-fast bacilli, and 195 (2.8%) culture positive for M tuberculosis. The expected incremental yield from a third smear was 3.5% and examination of 1712 (95% credibility interval 586–4706) third smears was required to detected one additional TB case. Sensitivity of one smear with an NAAT in group B was 46.8% (95% confidence interval 32.1%–61.9%), and that of two smears in Group C 40.0% (95% confidence interval 25.7%–55.7%). The expected incremental yield from a third culture was 8.4%, and the number of third cultures required to detect one additional TB case was 394 (95% credibility interval 231–670). ConclusionsThe incremental yield of the third sputum smear was negligible. It may be reasonable to perform an NAAT, smear and culture on the first specimen and culture alone on the second. The utility of the third serial culture for the detection of additional TB case is debatable.

Incidence and Patterns of Drug Resistance in Patients with Spinal Tuberculosis: a Prospective, Single-Center Study from a Tuberculosis-Endemic Country.

There is paucity of data on incidence and pattern of drug resistance in spinal TB. This prospective observational study was conducted to document the incidence and drug-resistance pattern among primary and presumptive resistant cases. 59 consecutive cases diagnosed clinico-radiologically (imaging) were grouped into Group A (n = 51, primary cases) and Group B (n = 8, presumptive resistant cases) based on pre-defined criteria (INDEX-TB guidelines). Tissue samples obtained percutaneously (37.29%, 22/59) and on surgery (62.71%, 37/59) were subjected to genotypic DST (CBNAAT, LPA) and phenotypic DST (BACTEC MGIT 960 culture and sensitivity using fixed critical concentration of drugs). Etiological diagnosis was ascertained in all. 13/51 (25.49%) in Group A, while 3/8 (37.5%) in Group B and 16/59 (27.12%) overall demonstrated drug resistance. 12/16 (75%) had no prior history of ATT intake. 4 demonstrated INH (Isoniazid) mono-resistance. 12 polydrug resistance demonstrated: 5MDR, 3pre-XDR, while RIF + FQ (fluoroquinolones), FQ + Lz (linezolid), only SLID (second-line injectable drugs), and only FQ resistance observed in 1 case each. Isolated RIF (Rifampicin) resistance and XDR pattern were not observed. Overall frequency of RIF resistance was 16.4% (9/55) and INH was 25% (12/48) with low-(n-2) and high-level INH resistance (n-10). Among second-line drugs, FQ resistance was more than SLID resistance and within FQ, levofloxacin resistance was more frequent than moxifloxacin. MGIT demonstrated positive growth in 16/59 samples, out of which 1 sample was positive for nontuberculous mycobacteria (M. chelonae) but on genotypic testing demonstrated MTB resistant to RIF and FQ. This is the first report on incidence and drug-resistant pattern in culture-positive/negative cases. High (25.49%) primary drug resistance is worrisome. This being the first study in spinal TB cases which document prevalent drug-resistant pattern as evaluated for consecutive culture-positive/negative cases. The tissue obtained must be submitted for AFB culture and molecular tests to ascertain drug resistance in culture-positive/negative cases. However, in the presence of insufficient tissue sample histology and CBNAAT can ascertain etiological diagnosis in 100% cases. INH resistance is more than RIF with isolated RIF resistance unreported.

Non-tuberculous mycobacterium isolations from tuberculosis presumptive cases at the National Tuberculosis Reference Laboratory Kenya, 2018–2019

Background: Mycobacterial pathogens are among the top causes of diseases in humans. In Kenya, incidences of Non-Tuberculous Mycobacteria (NTM) species have steadily been on the increase. Most NTMs are resistant to first line treatment of tuberculosis and have a challenge in timely and accurate diagnosis. Misdiagnosis has led to prescribing anti-tuberculosis regimens to patients suffering from NTM. We aimed to determine the most prevalent Non-Tuberculous Mycobacterium in Kenya. Methods: We reviewed records from the National Tuberculosis Reference Laboratory (NTRL) Laboratory information management system (LIMS) between January 2018 and December 2019 for the patients on surveillance. All isolates were cultured in Mycobacterial Growth Indicator Tubes (MGIT) and incubated for detection using BACTEC™ MGIT™ system. Those with negative acid-fast bacilli (AFB) growth and negative for Mycobacterium Tuberculosis Complex Species (MTBC) protein-MPT64 were suggestive of NTM infections, which were sub-cultured in MGIT and characterized using Line Probe Assay (LPA) GenoType® MTBDR CM/AS. Descriptive and bivariate analysis was done. Results: Of the total 24,549 records reviewed, 167(0.7%) were NTM isolates. Males comprised of 74.2% (124/167), and the mean age was 42 years (SD±16), age group 35-44 years had the highest NTM at 26.3% (44/167). Nairobi had 12.6% (21/167), Mombasa 10.8% (18/167), Kilifi and Meru each had 7.8% (13/167). Eleven isolated species comprised of Mycobacterium intracellulare 35.3% (65/167), M. fortuitum at 27% (48/167), and M. scrofulaceum at 10.2% (17/167). Previously treated patients had higher NTM [63.5% (106/167)] than Drug-resistant follow-up patients [26.9% (45/167)]. Coinfection with HIV was at 27.5% (46/167). Conclusion: Previously treated patients should have an additional screening of NTMS, and drug susceptibility testing should be done before initiation of treatment.

Impact of the use of GeneXpert on TB diagnosis and anti-TB treatment outcome at health facilities in Addis Ababa, Ethiopia in the post-millennium development years.

GeneXpert is an effective and rapid molecular system used for tuberculosis (TB) diagnosis. It is expected to improve the detection rate and treatment outcomes needed to meet the sustainable development goals (SDG) and End TB strategy targets set for 2030. This study aimed to evaluate the impact of GeneXpert on diagnosis and anti-TB treatment outcomes in the post-millennium development goals (MDGs) in the capital city of Ethiopia. Hence, the global priority indicator based on the End TB Strategy for TB treatment success rate was met early in 2018 in Addis Ababa, Ethiopia, which was anticipated to be met by 2025. A retrospective health facilities-based study was conducted in Addis Ababa, Ethiopia. Records of all TB cases diagnosed and treated in selected health facilities from January 1st, 2015 to December 31st, 2018 were reviewed and included in the study. Data analysis of descriptive and inferential statistics was conducted using SPSS version 20. The reviewed records have shown that a total of 45,158 presumptive pulmonary TB (PTB) cases had accessed TB diagnosis services. Of which, 28.9% (13072/45158) were tested by AFB microscopy and 71.1% (32086/45158) were tested by GeneXpert. During the study period, the coverage of Xpert MTB/RIF testing increased to 94.9% in 2018 compared to 1.6% in 2015. The number of presumptive PTB cases tested with the GeneXpert system showed a significant increase compared to smear microscopy. The odds of positivity were detected in males compared to females. The odds of detecting TB cases were much higher among study participants aged 15-44 years compared to younger than 15 years. Treatment success rate showed a relative improvement each year between 2015 and 2018 with a mean of 92.6%. Reduced odds of treatment successes were observed in age categories older than 35 years, and in TB/HIV co-infected patients. Increased odds of treatment successes were reported in the years between 2016 and 2018 compared to 2015. Scaling up the Xpert MTB/RIF assay as a point-of-care test for presumptive TB cases in resource-limited settings would have a significant impact to meet the SDG and End TB strategy both in TB detection and treatment success rates.

Incidental radiological findings during clinical tuberculosis screening in Lesotho and South Africa: a case series

BackgroundChest X-ray offers high sensitivity and acceptable specificity as a tuberculosis screening tool, but in areas with a high burden of tuberculosis, there is often a lack of radiological expertise to interpret chest X-ray. Computer-aided detection systems based on artificial intelligence are therefore increasingly used to screen for tuberculosis-related abnormalities on digital chest radiographies. The CAD4TB software has previously been shown to demonstrate high sensitivity for chest X-ray tuberculosis-related abnormalities, but it is not yet calibrated for the detection of non-tuberculosis abnormalities. When screening for tuberculosis, users of computer-aided detection need to be aware that other chest pathologies are likely to be as prevalent as, or more prevalent than, active tuberculosis. However, non­-tuberculosis chest X-ray abnormalities detected during chest X-ray screening for tuberculosis remain poorly characterized in the sub-Saharan African setting, with only minimal literature.Case presentationIn this case series, we report on four cases with non-tuberculosis abnormalities detected on CXR in TB TRIAGE + ACCURACY (ClinicalTrials.gov Identifier: NCT04666311), a study in adult presumptive tuberculosis cases at health facilities in Lesotho and South Africa to determine the diagnostic accuracy of two potential tuberculosis triage tests: computer-aided detection (CAD4TB v7, Delft, the Netherlands) and C-reactive protein (Alere Afinion, USA). The four Black African participants presented with the following chest X-ray abnormalities: a 59-year-old woman with pulmonary arteriovenous malformation, a 28-year-old man with pneumothorax, a 20-year-old man with massive bronchiectasis, and a 47-year-old woman with aspergilloma.ConclusionsSolely using chest X-ray computer-aided detection systems based on artificial intelligence as a tuberculosis screening strategy in sub-Saharan Africa comes with benefits, but also risks. Due to the limitation of CAD4TB for non-tuberculosis-abnormality identification, the computer-aided detection software may miss significant chest X-ray abnormalities that require treatment, as exemplified in our four cases. Increased data collection, characterization of non-tuberculosis anomalies and research on the implications of these diseases for individuals and health systems in sub-Saharan Africa is needed to help improve existing artificial intelligence software programs and their use in countries with high tuberculosis burden.

Community based peer-led TB screening intervention: an innovative approach to increase TB knowledge, presumptive case identification, and referral among sexual minority people in urban Bangladesh

IntroductionOne of the contributors to tuberculosis (TB) burden among vulnerable populations, such as sexual minority people, is the delay in case finding and notification. Given their socially excluded, hard-to-reach nature, community-led approaches need to be introduced to facilitate their screening of TB symptoms and their subsequent referral to TB healthcare providers. This article aimed to explore the existing challenges surrounding TB screening and referral, and the implementation facilitators and barriers of the proposed community-based TB screening model for sexual minority people in Dhaka, Bangladesh.MethodsThis study followed the quasi-experimental design using mixed methods (i.e., qualitative and quantitative) approach. The study participants who were also a part of the community-led TB screening model included sexual minority people enrolled in HIV prevention interventions. In addition to quantitative inquiry, in-depth interviews were conducted on sexual minority people, focus group discussions were also conducted on them and HIV prevention service providers, and key-informant interviews were conducted on service providers, programmatic experts and TB researchers. Data were analyzed using content, contextual and thematic approaches.ResultsThe ‘Six Steps in Quality Intervention Development’ framework was used to guide the development of the community-based TB screening model. In Step 1 (identifying the problem), findings revealed low rates of TB screening among sexual minority people enrolled in the HIV prevention intervention. In Step 2 (identifying contextual factors for change), various individual, and programmatic factors were identified, which included low knowledge, low-risk perception, prioritization of HIV services over TB, and stigma and discrimination towards these populations. In Step 3 (deciding change mechanism), community-based screening approaches were applied, thus leading to Step 4 (delivery of change mechanism) which designed a community-based approach leveraging the peer educators of the HIV intervention. Step 5 (testing intervention) identified some barriers and ways forward for refining the intervention, such as home-based screening and use of social media. Step 6 (collecting evidence of effectiveness) revealed that the main strength was its ability to engage peer educators.ConclusionThis study indicates that a community-based peer-led TB screening approach could enhance TB screening, presumptive TB case finding and referral among these populations. Therefore, this study recommends that this approach should be incorporated to complement the existing TB program.

Transmission pattern and the role of DOTS clinic in the control strategies of Tuberculosis in Kano, Nigeria

Tuberculosis (TB) is a major public health concern not only in developing nations but globally and the World Health Organization (WHO) estimated 10.4 million incident cases of TB and 1.67 million TB deaths in 2017. The study was conducted in Infectious Disease Hospital (IDH), Kano, a reference health facility for infectious disease of public health importance. The aim of the study was to determine the transmission pattern of Mycobacterium tuberculosis complex (MTBC) strains and the role played by Directly Observed Therapy Short course (DOTS) clinic in the control of TB. Of the 945 case-patients enrolled, 625 (66.1%) were males and 320 (33.9%) were females. The mean age of patients in years was 32.8 ± 13.8 SD and the median age was 30 years (range 3-95 years). Incidence of TB among presumptive cases was 15.0%. There was a fairly consistent increase in TB prevalence from 2015 (11.0%), 2016 (11.5%), 2017 (10.0%) and 2018 (36%). Pulmonary TB was diagnosed in 884 (93.5%) while Extra-Pulmonary TB accounted for 6.5%. New cases of TB within the study period were 819 (86.7%) and while 126 (13.3%) were relapse TB cases. Treatment outcome that included patients described as cured or have completed treatment successfully (smear negative) were recorded in 811 (85.8%) cases. DOTS clinic has improved TB detection rate through the years and consequently played a big supervisory role in TB treatment and control strategy in the state.

Simultaneous screening for COVID-19 and tuberculosis, India.

To evaluate the implementation of new operational workflows for simultaneous screening of coronavirus disease 2019 (COVID-19) and tuberculosis at four high-volume COVID-19 testing centres located in tertiary hospitals in Mumbai, India. Each centre already offering antigen-detecting rapid diagnostic tests were equipped with a rapid molecular testing platform for COVID-19 and tuberculosis, sufficient laboratory staff, and reagents and consumables for screening. Using a verbal tuberculosis questionnaire, a patient follow-up agent screened individuals visiting the COVID-19 testing centres. Presumptive tuberculosis patients were asked to provide sputum samples for rapid molecular testing. Subsequently, we reversed our operational workflow to also screen patients visiting tuberculosis outpatient departments for COVID-19, using rapid diagnostic tests. From March to December 2021, we screened 14 588 presumptive COVID-19 patients for tuberculosis, of whom 475 (3.3%) were identified as having presumptive tuberculosis. Of these, 288 (60.6%) were tested and 32 individuals (11.1%) were identified as tuberculosis positive (219 cases per 100 000 individuals screened). Of the tuberculosis-positive individuals, three had rifampicin-resistant tuberculosis. Among the remaining 187 presumptive tuberculosis cases not tested, 174 reported no symptoms at follow-up and 13 individuals either refused testing or could not be traced. Of the 671 presumptive tuberculosis cases screened for COVID-19, 17 (2.5%) were positive by antigen rapid diagnostic tests, and five (0.7%) who tested negative, later tested positive on the molecular testing platform (2483 COVID-19 cases per 100 000 individuals screened). Simultaneous screening for COVID-19 and tuberculosis in India is operationally feasible and can improve real-time on-site detection of COVID-19 and tuberculosis.

Active Screening for Pulmonary Tuberculosis Among Jail Inmates: A Mixed Method Study From Puducherry, South India.

Sustainable Development Goal 3 (SDG) aims to end the epidemic of TB by 2030. To achieve this goal, active screening should be initiated in the target populations. These target populations are those without access to proper healthcare like jail inmates. With pulmonary tuberculosis (PTB) being cosmopolitan in India, passive case finding alone cannot suffice to achieve the above-mentioned goal. Thus, active case finding (ACF) becomes the need of the hour. So, we aimed to conduct a mixed methods study that has a quantitative component, i.e., to actively screen the prison inmates for PTB, and a qualitative component, i.e., to know the perceptions of jail inmates towards PTB and the stigmas associated with it. This was a mixed-method study conducted in the Central Jail, Puducherry. The quantitative component involved a facility-based cross-sectional study design and the qualitative component involved a focused group discussion (FGD). Participants were screened for PTB and diabetes mellitus (DM) and their anthropometry (weight, height, body mass index {BMI}, waist-to-hip ratio {WHR}) was noted. Presumptive cases were identified as those with symptoms of cough for more than two weeks with or without other concomitant symptoms. They were subjected to cartridge-based nucleic acid amplification test (CB-NAAT) assay. Data were entered in MS Excel 2017and analyzed using SPSS version 16 (Armonk, NY: IBM Corp). For the qualitative exercise, purposive sampling with maximum variation technique was done to enroll a diverse subset of population for the FGD. Iterative analysis of the content was performed by the team to generate codes and themes. Out of all the 187 inmates screened, 10.7% were symptomatic. On CB-NAAT examination of the symptomatic inmates, none turned positive. The inmates with presumptive TB were older by age and had a higher proportion of illiteracy and existing co-morbidity (p≤0.05). While random blood sugar (RBS) levels of >140 mg/dL were recorded in 19.7% of inmates, RBS levels of >200 mg/dLconsidered diagnostic were noted in 5.34% of inmates. A total of 2.67% of the inmates were newly diagnosed with diabetes mellitus. The further management of the newly diagnosed inmates was taken over by the medical supervision team of the Central Jail. From the FGD, thematic manual content analysis was performed. A total of 24 codes were generated. After merging similar codes and removing duplications, the remaining 16 codes were grouped into six broad themes. Conclusions were drawn by interpretation of these themes. ACF is important as it is associated with early detection and treatment. It must be done periodically. During the FGD, we came across negative ideologies and stigmas associated with PTB among jail inmates. We used the same platform to clear those ideologies and recommend frequent health education exercises even in socially ostracized communities like jail inmates.

Identification of 11-nor-∆8-Tetrahydrocannabinol-9-Carboxylic Acid in Postmortem Urine.

Laws concerning the growing, selling and consuming of cannabis and its related products have been changing considerably over the last few years. The legalization of hemp in 2018 sparked an interest in ∆9-tetrahydrocannabinol (∆9-THC) isomers and analogs that are derived from hemp and sold with minimal oversight. One example is ∆8-tetrahydrocannabinol (∆8-THC). Although less potent than ∆9-THC, ∆8-THC is gaining popularity and can easily be found where cannabis-related products are sold. The Forensic Toxicology Laboratory at the University of Florida routinely tested decedents for 11-nor-∆9-tetrahydrocannabinol-9-carboxylic acid (∆9-THC-acid), the primary metabolite of ∆9-THC. Urine samples from ∼900 decedents were received by the laboratory between mid-November 2021 and mid-March 2022 and subjected to CEDIA™ immunoassay testing. Subsequent confirmation of 194 presumptive positive samples was performed by gas chromatography--mass spectrometry. A peak eluting immediately after ∆9-THC-acid was identified as 11-nor-∆8-tetrahydrocannabinol-9-carboxylic acid (∆8-THC-acid), a metabolite of ∆8-THC, in 26 of those samples (13%). Six of the samples were positive for ∆8-THC-acid only. Other toxicological findings were consistent with poly-drug use including fentanyl/fentanyl analogs, ethanol, cocaine and methamphetamine. There has been an emergence of ∆8-THC use as indicated by the presence of ∆8-THC-acid in 26 of 194 presumptive positive cases during a four-month period. The majority of individuals were White males with a history of drug and/or alcohol use. ∆9-THC-acid, as well as other drugs, was often present. Given the psychoactive potential and availability of ∆8-THC, monitoring ∆8-THC-acid in decedents is important to characterize the risk and prevalence of ∆8-THC use.

High non-compliance rate among presumptive tuberculosis cases referred from peripheral health facilities in silti district of Southern Ethiopia: a mixed methods study

BackgroundFor presumptive Tuberculosis (TB) case referral to be effective, most of the referred cases need to present themselves to health facilities for assessment and testing. Otherwise, cases of TB could be missed, and these cases are at an increased risk of delayed diagnosis, complications and death. Further, their care incurs significantly higher costs. This study assessed referral compliance as well as factors attributable to compliance/non-compliance to referral of presumptive TB cases in Silti district, Southern Ethiopia.MethodWe applied a mixed design involving both quantitative and qualitative methods. A randomly selected sample of 384 presumptive TB cases referred between January, 2014 and July 2021 were included in this study from the records of 12 health posts. Purposefully selected presumptive TB cases and Health Extension Workers were also interviewed to get in-depth information on the reasons for compliance and non-compliance to referral. STATA version 14 was employed to model the data using logistic regression. Qualitative data were analyzed using thematic content analysis.ResultsOf the 384 referred presumptive TB cases, close to 49% did not present themselves to the referral facilities. About 66% (n = 249) of the referred cases were women, and 62% (n = 119) of those who complied to referral were women. In multivariate analysis, cough [AOR = 3.4, 95%CI: 1.54–7.32], and chest pain [AOR = 2.7, 95%CI: 1.45–5.05] were independent predictors of compliance to referral. Nearly 5.5% (n = 21) of TB cases of all types were identified. The qualitative data analysis revealed that severe disease symptoms, HEW’s recommendations, and social issues as reasons improving compliance while personal and social factors, financial problems, lack of awareness about TB and transportation were reasons impeding compliance to referral.ConclusionOur study showed a high level of non-compliance to referral among referred presumptive TB cases. We also found that more women were referred and also complied with the referral. Strengthening community awareness about the disease symptoms and the existence of free treatment, addressing misconceptions about TB, supporting the elderly and disabled, and checkup house visits after referral could improve compliance to referral.

Development and clinical validation of Swaasa AI platform for screening and prioritization of pulmonary TB

Acoustic signal analysis has been employed in various medical devices. However, studies involving cough sound analysis to screen the potential pulmonary tuberculosis (PTB) suspects are very few. The main objective of this cross-sectional validation study was to develop and validate the Swaasa AI platform to screen and prioritize at risk patients for PTB based on the signature cough sound as well as symptomatic information provided by the subjects. The voluntary cough sound data was collected at Andhra Medical College-India. An Algorithm based on multimodal convolutional neural network architecture and feedforward artificial neural network (tabular features) was built and validated on a total of 567 subjects, comprising 278 positive and 289 negative PTB cases. The output from these two models was combined to detect the likely presence (positive cases) of PTB. In the clinical validation phase, the AI-model was found to be 86.82% accurate in detecting the likely presence of PTB with 90.36% sensitivity and 84.67% specificity. The pilot testing of model was conducted at a peripheral health care centre, RHC Simhachalam-India on 65 presumptive PTB cases. Out of which, 15 subjects truly turned out to be PTB positive with a positive predictive value of 75%. The validation results obtained from the model are quite encouraging. This platform has the potential to fulfil the unmet need of a cost-effective PTB screening method. It works remotely, presents instantaneous results, and does not require a highly trained operator. Therefore, it could be implemented in various inaccessible, resource-poor parts of the world.

Burden of Mycobacterium tuberculosis and Associated Factors among Presumptive Extra pulmonary Tuberculosis Patients from Selected Health Facilities, Addis Ababa, Ethiopia

BackgroundExtra pulmonary tuberculosis (EPTB) accounts for a significant proportion of tuberculosis (TB), a devastating disease of public health concern. The complexity of the cases, the involvement of many organs, resource constraints, and concerns regarding drug resistance make disease diagnosis and treatment difficult. This study aimed to determine the burden of tuberculosis and associated factors among presumptive EPTB patients in selected hospitals in Addis Ababa. Material and methodsA cross-sectional study was conducted from February to August 2022 in selected public hospitals in Addis Ababa. Those who attended the hospitals and were presumptively diagnosed as EPTB patient were included in the study. Sociodemographic and clinical data were collected using a semistructured questionnaire. The GeneXpert MTB/RIF assay, Mycobacterium Growth Indicator Tube (MGIT) culture, and solid culture using Löwenstein–Jensen (LJ) medium were used. The data were entered and analyzed using SPSS version 23, and a p-value ≤ 0.05 was considered as statistically significant. ResultsFrom a total of 308 participants enrolled in this study, the measured burdens of extrapulmonary tuberculosis using the Xpert MTB/RIF assay, liquid culture, and solid culture were 54 (17.5%), 45 (14.6%), and 39 (12.7%), respectively. In this study, sex, contact history with known TB cases, having a purulent type of aspirate, and being HIV positive had statistically significant associations with EPTB. ConclusionsThe burden of extrapulmonary tuberculosis among presumptive extrapulmonary tuberculosis cases was found to be significant. Sex, contact history with a known TB case, having apurulent type of aspirate, and being HIV positive were found to be associated with extrapulmonary tuberculosis infection. Strict adherence to the national tuberculosis diagnosis and treatment guidelines is important, while the true burden of the disease should be ascertained using standard diagnostic tests for better prevention and control interventions.

The Impact of COVID-19 on Tuberculosis Program Performance in the Kingdom of Lesotho

As tuberculosis (TB) is an airborne disease requiring multi-month therapy, systems of TB detection and care were profoundly impacted by the COVID-19 pandemic. The worsening economic situation, including income, food, and housing insecurity, impacted the social conditions in which TB-already a leading killer in resource-limited settings-thrives. This study assesses the impact of COVID-19 on TB detection and treatment in Lesotho. We used routine program data from 78 health facilities in Lesotho. We created time series models from July 2018 to March 2021 to quantify COVID-19-related disruptions to TB program indicators: outpatient visits; presumptive, diagnosed, treated, and HIV co-infected cases; and treatment outcomes including successful (cured and completed) and unsuccessful (death and treatment outcome unknown). We observed a significant decline in cumulative outpatient visits (-37.4%, 95% prediction interval [PI]: -40.1%, -28.7%) and new TB cases diagnosed (-38.7%, 95%PI: -47.2%, -28.4%) during the pandemic, as well as TB-HIV co-infections (-67.0%, 95%PI: -72.6%, -60.0%). However, we observed no difference in treatment success (-2.1%, 95%PI: -17.0%, 15.8%). TB case detection in Lesotho fell during the COVID-19 pandemic, likely related to the uptake of overall health services. However, treatment success rates did not change, indicating a strong health system and the success of local strategies to maintain treatment programs.

Identifying Hot Spots of Tuberculosis in Nigeria Using an Early Warning Outbreak Recognition System: Retrospective Analysis of Implications for Active Case Finding Interventions

Undiagnosed tuberculosis (TB) cases are the major challenge to TB control in Nigeria. An early warning outbreak recognition system (EWORS) is a system that is primarily used to detect infectious disease outbreaks; this system can be used as a case-based geospatial tool for the real-time identification of hot spot areas with clusters of TB patients. TB screening targeted at such hot spots should yield more TB cases than screening targeted at non-hot spots. We aimed to demonstrate the effectiveness of an EWORS for TB hot spot mapping as a tool for detecting areas with increased TB case yields in high TB-burden states of Nigeria. KNCV Tuberculosis Foundation Nigeria deployed an EWORS to 14 high-burden states in Nigeria. The system used an advanced surveillance mechanism to identify TB patients' residences in clusters, enabling it to predict areas with elevated disease spread (ie, hot spots) at the ward level. TB screening outreach using the World Health Organization 4-symptom screening method was conducted in 121 hot spot wards and 213 non-hot spot wards selected from the same communities. Presumptive cases identified were evaluated for TB using the GeneXpert instrument or chest X-ray. Confirmed TB cases from both areas were linked to treatment. Data from the hot spot and non-hot spot wards were analyzed retrospectively for this study. During the 16-month intervention, a total of 1,962,042 persons (n=734,384, 37.4% male, n=1,227,658, 62.6% female) and 2,025,286 persons (n=701,103, 34.6% male, n=1,324,183, 65.4% female) participated in the community TB screening outreaches in the hot spot and non-hot spot areas, respectively. Presumptive cases among all patients screened were 268,264 (N=3,987,328, 6.7%) and confirmed TB cases were 22,618 (N=222,270, 10.1%). The number needed to screen to diagnose a TB case in the hot spot and non-hot spot areas was 146 and 193 per 10,000 people, respectively. Active TB case finding in EWORS-mapped hot spot areas yielded higher TB cases than the non-hot spot areas in the 14 high-burden states of Nigeria. With the application of EWORS, the precision of diagnosing TB among presumptive cases increased from 0.077 to 0.103, and the number of presumptive cases needed to diagnose a TB case decreased from 14.047 to 10.255 per 10,000 people.