The Immunoepidemiology of Hookworm Infection in the Peruvian Amazon

Hookworm infection caused by Ancylostoma duodenale or Necator americanus is a significant global health threat, causing chronic anemia, malnutrition, developmental delay, enteritis, and increased susceptibility to non-parasitic diseases. One of the most prevalent of the neglected tropical diseases, hookworm infection affects almost 1 billion people worldwide, particularly in developing countries. Current methods for diagnosis and treatment of hookworm infection are largely the same as they have been for the past century. However, several recent advances in the molecular characterization of hookworm virulence factors now provide researchers with an improved understanding of disease pathogenesis, potential targets for treatment and novel antigens for vaccine development. In order to better understand hookworm pathophysiology and immunology in human populations, a comprehensive, cross-sectional immunoepidemiologic survey of approximately 200 villagers in a remote area of the Peruvian Amazon was conducted. Hookworm prevalence rates were found to approach 40% by microscopic diagnosis. Additionally, molecular speciation techniques showed that both A. duodenale and N. americanus are endemic to this region. Reagents from a laboratory model of hookworm disease were then utilized to characterize human immune responses to hookworm specific antigens. By studying the immunoepidemiology of an endemic community we have found that a laboratory strain of hookworm, Anyclostoma ceylanicum, is a useful tool for describing species specific immune responses to disease. This work lays the foundation for future development of improved hookworm diagnostic techniques by molecular and immunologic methods

Diagnostic accuracy of TB-LAMP for pulmonary tuberculosis: a systematic review and meta-analysis.

BACKGROUND:The need for a rapid, molecular test to diagnose tuberculosis (TB) has prompted exploration of TB-LAMP (Eiken; Tokyo, Japan) for use in resource-limited settings. We conducted a systematic review to assess the accuracy of TB-LAMP as a diagnostic test for pulmonary TB. METHODS:We analyzed individual-level data for eligible patients from all studies of TB-LAMP conducted between Jan 2012 and October 2015 to compare the diagnostic accuracy of TB-LAMP with that of smear microscopy and Xpert MTB/RIF® using 3 reference standards of varying stringency. Pooled sensitivity and specificity and pooled differences in sensitivity and specificity were estimated using random effects meta-analysis. Study quality was evaluated using QUADAS-2. RESULTS:Four thousand seven hundred sixty individuals across 13 studies met eligibility criteria. Methodological quality was judged to be low for all studies. TB-LAMP had higher sensitivity than sputum smear microscopy (pooled sensitivity difference + 13·2, 95% CI 4·5-21·9%) and similar sensitivity to Xpert MTB/RIF (pooled sensitivity difference - 2·5, 95% CI -8·0 to + 2·9) using the most stringent reference standard available. Specificity of TB-LAMP was similar to that of sputum smear microscopy (pooled specificity difference - 1·8, 95% CI -3·8 to + 0·2) and Xpert MTB/RIF (pooled specificity difference 0·5, 95% CI -0·9 to + 1·8). CONCLUSIONS:From the perspective of diagnostic accuracy, TB-LAMP may be considered as an alternative test for sputum smear microscopy. Additional factors such as cost, feasibility, and acceptability in settings that continue to rely on sputum smear microscopy should be considered when deciding to adopt this technology. Xpert MTB/RIF should continue to be preferred in settings where resource and infrastructure requirements are adequate and where HIV co-infection or drug-resistance is of concern

Stabilizers used in nanocrystal based drug delivery systems

Nanocrystals have emerged as a viable tool to enhance oral bioavailability of poorly water soluble drugs. They also enable parenteral administration of these drugs as nanosuspensions. The high surface free energy due to the large surface area to volume ratio of nanocrystals, makes them prone to aggregation, that can lead to physical instability and loss of solubility/dissolution advantage. Stabilizers are incorporated into nanocrystalline formulations to prevent aggregation and these include excipients such as polymers and surfactants. They achieve stabilization by electrostatic repulsion and/or steric hindrance. This article focuses on phenomenon of aggregation in nanocrystal based formulations, stabilizers for inhibition of aggregation, classification of stabilizers, properties of stabilizers and the mechanisms involved in stabilization. A compilation of stabilizers, drugs stabilized, formulation types and techniques used for generation of nanocrystals have been presented. Current challenges and future trends in the field of stabilizers have also been highlighted

Outlook for tuberculosis elimination in California: An individual-based stochastic model.

RationaleAs part of the End TB Strategy, the World Health Organization calls for low-tuberculosis (TB) incidence settings to achieve pre-elimination (<10 cases per million) and elimination (<1 case per million) by 2035 and 2050, respectively. These targets require testing and treatment for latent tuberculosis infection (LTBI).ObjectivesTo estimate the ability and costs of testing and treatment for LTBI to reach pre-elimination and elimination targets in California.MethodsWe created an individual-based epidemic model of TB, calibrated to historical cases. We evaluated the effects of increased testing (QuantiFERON-TB Gold) and treatment (three months of isoniazid and rifapentine). We analyzed four test and treat targeting strategies: (1) individuals with medical risk factors (MRF), (2) non-USB, (3) both non-USB and MRF, and (4) all Californians. For each strategy, we estimated the effects of increasing test and treat by a factor of 2, 4, or 10 from the base case. We estimated the number of TB cases occurring and prevented, and net and incremental costs from 2017 to 2065 in 2015 U.S. dollars. Efficacy, costs, adverse events, and treatment dropout were estimated from published data. We estimated the cost per case averted and per quality-adjusted life year (QALY) gained.Measurements and main resultsIn the base case, 106,000 TB cases are predicted to 2065. Pre-elimination was achieved by 2065 in three scenarios: a 10-fold increase in the non-USB and persons with MRF (by 2052), and 4- or 10-fold increase in all Californians (by 2058 and 2035, respectively). TB elimination was not achieved by any intervention scenario. The most aggressive strategy, 10-fold in all Californians, achieved a case rate of 8 (95% UI 4-16) per million by 2050. Of scenarios that reached pre-elimination, the incremental net cost was $20 billion (non-USB and MRF) to$48 billion. These had an incremental cost per QALY of $657,000 to$3.1 million. A more efficient but somewhat less effective single-lifetime test strategy reached as low as $80,000 per QALY.ConclusionsSubstantial gains can be made in TB control in coming years by scaling-up current testing and treatment in non-USB and those with medical risks

Implementation science to improve the quality of tuberculosis diagnostic services in Uganda.

Nucleic acid amplification tests such as Xpert MTB/RIF (Xpert) have the potential to revolutionize tuberculosis (TB) diagnostics and improve case finding in resource-poor settings. However, since its introduction over a decade ago in Uganda, there remain significant gaps along the cascade of care for patients undergoing TB diagnostic evaluation at peripheral health centers. We utilized a systematic, implementation science-based approach to identify key reasons at multiple levels for attrition along the TB diagnostic evaluation cascade of care. Provider- and health system-level barriers fit into four key thematic areas: human resources, material resources, service implementation, and service coordination. Patient-level barriers included the considerable costs and time required to complete health center visits. We developed a theory-informed strategy using the PRECEDE framework to target key barriers by streamlining TB diagnostic evaluation and facilitating continuous quality improvement. The resulting SIMPLE TB strategy involve four key components: 1) Single-sample LED fluorescence microscopy; 2) Daily sputum transport to Xpert testing sites; 3) Text message communication of Xpert results to health centers and patients; and 4) Performance feedback to health centers using a quality improvement framework. This combination of interventions was feasible to implement and significantly improved the provision of high-quality care for patients undergoing TB diagnostic evaluation. We conclude that achieving high coverage of Xpert testing services is not enough. Xpert scale-up should be accompanied by health system co-interventions to facilitate effective implementation and ensure that high quality care is delivered to patients

The impact of social protection interventions on treatment and socioeconomic outcomes of people with tuberculosis and their households: Protocol for a systematic review and meta-analysis

Background: Tuberculosis (TB) is a leading cause of death due to infectious disease worldwide. People with TB and their households often suffer social and economic losses due to the cost of tuberculosis care. The World Health Organization 2015 End TB strategy called for socioeconomic support through social protection interventions. Social protection has the potential to enable people with TB and their households to break the cycle of TB and poverty, thereby improving both treatment and socioeconomic outcomes. This study aims to evaluate whether people with TB who are recipients of social protection interventions have better treatment and socioeconomic outcomes than those who are not recipients of social protection interventions. Methods: We will systematically review literature published in English between 2012 and 2021 from PubMed, Embase, and Web of Science, and grey literature from Google Scholar and selected, relevant databases. We will include studies that describe a social protection intervention (as defined by the World Bank) and report on TB treatment outcomes and/or socioeconomic outcomes. We will only include studies pertaining to populations in low-and-middle-income countries and/or countries with high TB burden. We will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Study quality will be assessed using the Cochrane Risk of Bias for randomized controlled trials and the Newcastle Ottawa Scale for non-randomised controlled studies. If sufficient quantitative data are available, we will perform a meta-analysis of aggregated outcomes. Lastly, we will use the Grading Recommendations Assessment, Development, and Evaluation to describe the overall quality of evidence. Ethics and dissemination: Ethical approval is not required for this systematic review, as all data extraction and analysis will be conducted on published documents. We will disseminate this protocol through conference presentations. The systematic review has been registered prospectively in the PROSPERO database (registration number CRD42022382181)

Challenges with scale-up of GeneXpert MTB/RIF® in Uganda: a health systems perspective.

BACKGROUND: Many high burden countries are scaling-up GeneXpert® MTB/RIF (Xpert) testing for tuberculosis (TB) using a hub-and-spoke model. However, the effect of scale up on reducing TB has been limited. We sought to characterize variation in implementation of referral-based Xpert TB testing across Uganda, and to identify health system factors that may enhance or prevent high-quality implementation of Xpert testing services. METHODS: We conducted a cross-sectional study triangulating quantitative and qualitative data sources at 23 community health centers linked to one of 15 Xpert testing sites between November 2016 and May 2017 to assess health systems infrastructure for hub-and-spoke Xpert testing. Data sources included a standardized site assessment survey, routine TB notification data, and field notes from site visits. RESULTS: Challenges with Xpert implementation occurred at every step of the diagnostic evaluation process, leading to low overall uptake of testing. Of 2192 patients eligible for TB testing, only 574 (26%) who initiated testing were referred for Xpert testing. Of those, 54 (9.4%) were Xpert confirmed positive just under half initiated treatment within 14 days (n = 25, 46%). Gaps in required infrastructure at 23 community health centers to support the hub-and-spoke system included lack of refrigeration (n = 14, 61%) for sputum testing and lack of telephone/mobile communication (n = 21, 91%). Motorcycle riders responsible for transporting sputum to Xpert sites operated variable with trips once, twice, or three times a week at 10 (43%), nine (39%) and four (17%) health centers, respectively. Staff recorded Xpert results in the TB laboratory register at only one health center and called patients with positive results at only two health centers. Of the 15 Xpert testing sites, five (33%) had at least one non-functioning module. The median number of tests per day was 3.57 (IQR 2.06-4.54), and 10 (67%) sites had error/invalid rates > 5%. CONCLUSIONS: Although Xpert devices are now widely distributed throughout Uganda, health system factors across the continuum from test referral to results reporting and treatment initiation preclude effective implementation of Xpert testing for patients presenting to peripheral health centers. Support for scale up of innovative technologies should include support for communication, coordination and health systems integration

Introducing risk inequality metrics in tuberculosis policy development.

Global stakeholders including the World Health Organization rely on predictive models for developing strategies and setting targets for tuberculosis care and control programs. Failure to account for variation in individual risk leads to substantial biases that impair data interpretation and policy decisions. Anticipated impediments to estimating heterogeneity for each parameter are discouraging despite considerable technical progress in recent years. Here we identify acquisition of infection as the single process where heterogeneity most fundamentally impacts model outputs, due to selection imposed by dynamic forces of infection. We introduce concrete metrics of risk inequality, demonstrate their utility in mathematical models, and pack the information into a risk inequality coefficient (RIC) which can be calculated and reported by national tuberculosis programs for use in policy development and modeling