Detecting tuberculosis in pregnant and postpartum women in Eswatini

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Study Justification:
– Tuberculosis diagnosis in pregnant and postpartum women is complex due to overlapping symptoms with pregnancy.
– Untreated tuberculosis in these women can lead to maternal morbidity and low birth weight.
– Tuberculosis in HIV-positive pregnant women increases the risk of maternal and infant mortality.
Study Highlights:
– The study aimed to determine tuberculosis prevalence among pregnant and postpartum women in Eswatini, stratified by HIV status.
– Screening algorithms were identified to maximize detection of active tuberculosis in these women.
– Sputum culture was found to be the most effective diagnostic test for tuberculosis.
– Routine tuberculosis symptom screening alone is insufficient to rule out tuberculosis in pregnant and postpartum women.
Study Recommendations:
– Implement screening algorithms that include sputum culture for tuberculosis diagnosis in pregnant and postpartum women.
– Enhance tuberculosis symptom screening by adding history of contact with tuberculosis patients and presence of tuberculosis symptoms within the household.
– Consider balancing access and cost when implementing diagnostic tests in developing countries.
Key Role Players:
– Eswatini National Health Research Board
– CDC Institutional Review Board
– University Research Co. LLC
– National Tuberculosis Reference Laboratory in Mbabane
– Lancet Laboratory in Johannesburg
Cost Items for Planning Recommendations:
– Diagnostic tests (sputum culture, Xpert® MTB/RIF assay, smear microscopy, MGIT culture, LF-LAM test, IGRA testing, CD4 cell count testing)
– Transportation costs for participants
– Training and capacity building for healthcare providers
– Data collection and management tools (Epi Info™, REDCap)
– Laboratory equipment and supplies
Please note that the actual cost of implementing these recommendations may vary and would require a detailed budget analysis.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong, but there are some areas for improvement. The study design is cross-sectional, which limits the ability to establish causality. Additionally, the sample size calculation and statistical analysis methods are not described in detail. To improve the evidence, future studies could consider using a longitudinal design and provide more information on the sample size calculation and statistical analysis methods.

Background: Tuberculosis diagnosis in pregnancy is complex because tuberculosis symptoms are often masked by physiological symptoms of pregnancy. Untreated tuberculosis in pregnant and postpartum women may lead to maternal morbidity and low birth weight. Tuberculosis in HIV-positive pregnant women increases the risk of maternal and infant mortality. Objective: This study aimed to determine tuberculosis prevalence stratified by HIV status and identify screening algorithms that maximise detection of active tuberculosis among pregnant and postpartum women in Eswatini. Methods: Women were enrolled at antenatal and postnatal clinics in Eswatini for tuberculosis screening and diagnostic investigations from 01 April to 30 November 2015 in a cross-sectional study. Sputum samples were collected from all participants for tuberculosis diagnostic tests (smear microscopy, GeneXpert, MGIT culture). Blood and urine samples were collected from HIV-positive women for cluster-of-differentiation-4 cell count, interferon gamma release assay and tuberculosis lateral flow urine lipoarabinomannan tests. Results: We enrolled 990 women; 52% were pregnant and 47% were HIV-positive. The prevalence of tuberculosis among HIV-positive pregnant women was 5% (95% confidence interval [CI]: 2-7) and among postpartum women it was 1% (95%CI: -1-3). Tuberculosis prevalence was 2% (95%CI: 0-3) in HIV-negative pregnant women and 1% (95%CI: -1-2) in HIV-negative postpartum women. The national tuberculosis symptom screening tool failed to identify women who tested tuberculosis-culture positive. Conclusion: Routine tuberculosis symptom screening alone is insufficient to rule out tuberculosis in pregnant and postpartum women. Only sputum culture maximised the detection of tuberculosis, indicating a need to balance access and cost in developing countries. Copyright:

Ethical approval was obtained from the Eswatini National Health Research Board (formerly Scientific and Ethics Committee [Approval reference: MH/599C]), CDC Institutional Review Board (IRB) (Reference: CGH-HSR Tracking #: 2015-196), and University Research Co. LLC IRB (02 March 2015). Participants signed informed consent written in their preferred language (SiSwati or English). Participants received no incentives but were reimbursed transport costs for additional visits to read TST. Diagnostics tests and treatment, if required, were free of out-of-pocket charges. We conducted a cross-sectional study enrolling pregnant and postpartum women, aged 18 years and older, attending antenatal and postnatal care clinics, from 01 April to 30 November 2015 at three public health facilities in three of the four regions of Eswatini. Sociodemographic and clinical data, including past tuberculosis screening results where applicable, were collected. Eswatini is categorised by WHO as a high tuberculosis/HIV burdened country with a co-infection rate of 70% and a tuberculosis incidence rate of 398 per 100 000 population.27 Participants were pregnant and postpartum women who were not on anti-tuberculosis treatment at enrolment or who had not taken anti-tuberculosis medicines, including isoniazid for tuberculosis preventive therapy, within the 2 months preceding enrolment, based on documented evidence from patient clinical records, and who provided informed consent. Four groups of women were enrolled: HIV-positive pregnant, HIV-negative pregnant, HIV-positive postpartum, and HIV-negative postpartum. A sample size of 183 in each group was determined and a full narrative of sample size calculation is fully described in our protocol paper titled ‘Screening in Maternity to Ascertain Tuberculosis Status (SMATS) study’.4 Participants were consecutively enrolled until the sample size was reached. All participants were screened using the WHO-recommended national tuberculosis four-symptom screening (standard NTBSS) tool. Participants held clinic cards which were checked for evidence of tuberculosis symptom screening at their last clinical encounter to ascertain routine tuberculosis screening coverage at their previous visit. Participants were screened as positive using the standard NTBSS tool, if they had a cough lasting at least 2 weeks,16 or a cough lasting less than 2 weeks plus any other symptom of fever or unexplained loss of weight or night sweats, or if any two symptoms were present.16,17 Enhancements of the tuberculosis screening tool were done by adding to the four symptom screening tool any history of contact with a person on tuberculosis treatment or who had been diagnosed with tuberculosis and the presence of tuberculosis symptoms within the household inhabitants. We measured sensitivity, specificity and predictive values (positive and negative) of the WHO-recommended four symptom tuberculosis screening tool among HIV-positive and HIV-negative pregnant and postpartum women compared with sputum culture, the gold standard for M. tuberculosis detection. Even though chest radiographs are not contraindicated in pregnancy, chest radiographs were only carried out among postpartum women (both HIV-positive and HIV-negative) to eliminate risk of radiation exposure to the foetus. Two samples of sputum (for Xpert® MTB/RIF, smear microscopy and culture using BACTEC TM MGIT 960) were collected from all participants.4 Sputum samples were collected through the production of spontaneous self-expectorated phlegm (preferred method), sputum induction through nebulising with hypertonic saline or, if both the above failed, the participant received a sputum container to take home and attempt to produce an early morning sputum sample and bring it back to the health facility. Testing of sputum samples was done at the National Tuberculosis Reference Laboratory in Mbabane. Tuberculosis culture was the gold standard test and in situations where sputum samples were insufficient for the three tests, culture was prioritised ahead of Xpert® MTB/RIF and smear microscopy. A urine sample for the LF-LAM test and two 4 mL blood samples for IGRA testing and cluster-of-differentiation-4 (CD4) cell count testing were collected. Interferon-gamma release assays and LF-LAM were only done for HIV-positive women due to limited evidence on IGRA use28 and existing WHO recommendations on LF-LAM use in HIV-positive individuals.29 TST was also done and the induration was read after 48 hours – 72 hours. IGRA and TST procedures were explained to all participants and only HIV-positive participants were then asked which test they preferred between IGRA and TST. Sample collection and storage followed national standard operating procedures for urine and blood collection and manufacturer’s instructions for the DetermineTM Tuberculosis LF-LAM test (Abbott Laboratories, Lake Bluff, Illinois, United States) and IGRA testing.4 All sputum specimens were analysed by means of: (1) Xpert® MTB/RIF assay (Cepheid, Sunnyvale, California, United States), (2) concentrated Ziehl-Neelsen microscopy, (3) liquid–medium culture method (BACTECTM MGIT 960TM TB Diagnostic System; Becton, Dickinson & Company [BD], Crystal Lake, New Jersey, United States), and (4) MGIT 960TM DST (BD, Crystal Lake, New Jersey, United States). Positive cultures were identified as M. tuberculosis using the tuberculosis Ag MPT64 Rapid® assay (Standard Diagnostics, Inc., Yongin, South Korea).30 Interferon-gamma release assays and CD4 cell count testing were done at Lancet Laboratory in Johannesburg, South Africa. IGRA blood specimens were collected directly into IGRA tubes used for QuantiFERON-TB Gold in-Tube assay (Cellestis Ltd, Carnegie, Victoria, Australia).31,32 CD4 cell count tests were conducted by BD FACSCalibur™ flow cytometry (BD Biosciences, San Jose, California, United States) using venous blood collected in sterile four millilitre BD Vacutainer EDTA tubes by trained study nurses. The data collection tools were matched to the tools used for routine data collection at health facilities. Demographic fields in the data collection forms were adapted from client cards. Data fields for tuberculosis symptom screening were adapted from the national tuberculosis screening tool. Patient information was anonymised. Data were entered in Epi Info™ (Centers for Disease Control and Prevention, Atlanta, Georgia, United States) and Research Electronic Data Capture (REDCap; Vanderbilt University, Nashville, Tennessee, United States), and data extraction tools were cross-checked to validate conflicting fields. Laboratory results were compared with the electronic study results file generated from the laboratory, and participant identity numbers were used to relate the data. We evaluated both option one and option two of the WHO four symptom screening algorithms. TST numeric readings were recoded as positive, if the length of the induration was ≥ 5 mm for HIV-positive participants or ≥ 10 mm, if the participant was HIV-negative.32,33 All other lengths, including 0 mm, were recoded as negative according to existing literature and CDC guidance on interpretation of TST results.32,33 IGRA was done at a private laboratory according to manufacturer’s recommendations and the differences in readings between QuantiFERON-tuberculosis Gold in-Tube tuberculosis antigen, tuberculosis nil and tuberculosis mitogen were used to interpret positive, negative and indeterminate results, respectively (Figure 1).34 Interpretation of interferon-gamma release assays results. Frequencies and proportions were used to describe participant characteristics and related clinical data. Diagnostic parameters of sensitivity, specificity and positive and negative predictive values analyses for tuberculosis symptoms, and tuberculosis diagnostic tests were calculated in STATA version 13 (© 1985–2013 StataCorp LLC, College Station, Texas, United States). Using logistic regression, associations between culture-positive tuberculosis and HIV status and pregnancy or postpartum status variables were determined. Other sociodemographic and clinical factors were considered for inclusion in the multivariate model if the p-value was ≤ 0.1 on bivariate analysis. Factors that perfectly predicted the outcome were excluded. Estimates were reported with 95% confidence intervals (CIs) and corresponding p-values.

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Based on the provided information, here are some potential innovations that can be used to improve access to maternal health:

1. Development of a more accurate tuberculosis screening tool: The study highlights the limitations of the existing national tuberculosis symptom screening tool in identifying pregnant and postpartum women with tuberculosis. Innovations in this area could involve the development of a more sensitive and specific screening tool that takes into account the unique physiological symptoms of pregnancy.

2. Integration of tuberculosis screening with antenatal and postnatal care: To improve access to maternal health, it would be beneficial to integrate tuberculosis screening into routine antenatal and postnatal care visits. This would ensure that all pregnant and postpartum women have the opportunity to be screened for tuberculosis, leading to earlier detection and treatment.

3. Utilization of point-of-care diagnostic tests: The study mentions the use of sputum culture as the gold standard for tuberculosis detection. However, this method can be time-consuming and costly, especially in resource-limited settings. Innovations in point-of-care diagnostic tests, such as rapid molecular tests, could provide quicker and more affordable results, enabling timely diagnosis and treatment.

4. Strengthening of healthcare systems: Improving access to maternal health requires a strong healthcare system that is equipped to provide comprehensive care. Innovations in this area could involve training healthcare providers on tuberculosis screening and diagnosis, ensuring the availability of necessary diagnostic tools and medications, and improving the overall infrastructure and capacity of healthcare facilities.

5. Increased awareness and education: Innovations in maternal health should also focus on increasing awareness and education among pregnant and postpartum women, as well as healthcare providers. This could involve the development of educational materials, campaigns, and training programs to promote early recognition of tuberculosis symptoms and encourage timely healthcare-seeking behavior.

It is important to note that these recommendations are based on the specific context of the provided study. Implementing these innovations would require further research, collaboration, and adaptation to the local healthcare system and resources.
AI Innovations Description
The recommendation to improve access to maternal health in this context is to develop and implement a more effective tuberculosis screening algorithm for pregnant and postpartum women in Eswatini. The current national tuberculosis symptom screening tool has been found to be insufficient in identifying women who test positive for tuberculosis. Therefore, it is necessary to enhance the screening tool by adding additional criteria such as a history of contact with a person on tuberculosis treatment or who has been diagnosed with tuberculosis, and the presence of tuberculosis symptoms within the household inhabitants.

Furthermore, the study suggests that sputum culture is the most effective diagnostic test for detecting tuberculosis in pregnant and postpartum women. Therefore, it is recommended to prioritize access to sputum culture testing in order to maximize the detection of tuberculosis cases. This may involve ensuring that health facilities have the necessary resources and equipment to perform sputum culture tests.

It is important to consider the balance between access and cost in developing countries like Eswatini. Therefore, efforts should be made to make sputum culture testing more accessible and affordable for pregnant and postpartum women. This could include providing free or subsidized testing, improving transportation options for women to reach testing facilities, and training healthcare providers on the proper administration and interpretation of sputum culture tests.

Overall, the recommendation is to develop and implement an enhanced tuberculosis screening algorithm that includes additional criteria and prioritize access to sputum culture testing to improve the detection and treatment of tuberculosis in pregnant and postpartum women in Eswatini.
AI Innovations Methodology
Based on the provided description, one potential innovation to improve access to maternal health in the context of detecting tuberculosis in pregnant and postpartum women in Eswatini could be the development and implementation of a comprehensive screening algorithm that combines multiple diagnostic tests and risk factors.

The methodology to simulate the impact of this recommendation on improving access to maternal health could involve the following steps:

1. Data Collection: Collect data on the current prevalence of tuberculosis among pregnant and postpartum women in Eswatini, as well as the effectiveness of the existing tuberculosis screening tools.

2. Identify Potential Innovations: Research and identify potential innovations that could improve the detection of tuberculosis in pregnant and postpartum women. This could include new diagnostic tests, risk factor assessments, or screening algorithms.

3. Develop Simulation Model: Develop a simulation model that incorporates the current prevalence data, the effectiveness of existing screening tools, and the potential impact of the identified innovations. The model should consider factors such as sensitivity, specificity, positive and negative predictive values, and cost-effectiveness.

4. Parameter Estimation: Estimate the parameters of the simulation model based on available data and expert opinions. This may involve conducting additional studies or using existing literature to gather relevant information.

5. Simulate Scenarios: Use the simulation model to simulate different scenarios that incorporate the identified innovations. This could involve comparing the performance of different screening algorithms, diagnostic tests, or risk factor assessments.

6. Evaluate Impact: Evaluate the impact of the simulated scenarios on improving access to maternal health. This could include assessing the increase in tuberculosis detection rates, reduction in maternal morbidity and low birth weight, and potential cost savings.

7. Sensitivity Analysis: Conduct sensitivity analysis to assess the robustness of the simulation results. This involves varying the input parameters within a plausible range to determine the impact on the outcomes.

8. Recommendations: Based on the simulation results, provide recommendations on the most effective and cost-efficient innovations to improve access to maternal health in detecting tuberculosis in pregnant and postpartum women in Eswatini.

It is important to note that the methodology described above is a general framework and may need to be adapted based on the specific context and available resources in Eswatini.

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