The high cost, complexity and reliance on electricity, specialized equipment and supplies associated with conventional diagnostic methods limit the scope and sustainability of newborn screening for sickle cell disease (SCD) in sub-Saharan Africa and other resource-limited areas worldwide. Here we describe the development of a simple, low-cost, rapid, equipment- and electricity-free paper-based test capable of detecting sickle hemoglobin (HbS) in newborn blood samples with a limit of detection of 2% HbS. We validated this newborn paper-based test in a cohort of 159 newborns at an obstetric hospital in Cabinda, Angola. Newborn screening results using the paper-based test were compared to conventional isoelectric focusing (IEF). The test detected the presence of HbS with 81.8% sensitivity and 83.3% specificity, and identified SCD newborns with 100.0% sensitivity and 70.7% specificity. The use of the paper-based test in a two-stage newborn screening process could have excluded about 70% of all newborns from expensive confirmatory testing by IEF, without missing any of the SCD newborns in the studied cohort. This study demonstrates the potential utility of the newborn paper-based test for reducing the overall cost of screening newborns for SCD and thus increasing the practicality of universal newborn SCD screening programs in resource-limited settings.

Sickle cell disease (SCD) is a debilitating single gene disorder caused by a single point mutation that results in physical deformation (i.e. sickling) of erythrocytes at reduced oxygen tensions. Up to 75% of SCD in newborns world-wide occurs in sub-Saharan Africa, where neonatal and childhood mortality from sickle cell related complications is high. While SCD research across the globe is tackling the disease on multiple fronts, advances have yet to significantly impact on the health and quality of life of SCD patients, due to lack of coordination of these disparate efforts. Ensuring data across studies is directly comparable through standardization is a necessary step towards realizing this goal. Such a standardization requires the development and implementation of a disease-specific ontology for SCD that is applicable globally. Ontology development is best achieved by bringing together experts in the domain to contribute their knowledge.The SCD community and H3ABioNet members joined forces at a recent SCD Ontology workshop to develop an ontology covering aspects of SCD under the classes: phenotype, diagnostics, therapeutics, quality of life, disease modifiers and disease stage. The aim of the workshop was for participants to contribute their expertise to development of the structure and contents of the SCD ontology. Here we describe the proceedings of the Sickle Cell Disease Ontology Workshop held in Cape Town South Africa in February 2016 and its outcomes. The objective of the workshop was to bring together experts in SCD from around the world to contribute their expertise to the development of various aspects of the SCD ontology.

e13604 Background: Glioblastoma is the most common and aggressive brain tumor, with a high recurrence rate and low survival. We are increasing our understanding of its biology, and more targeted therapeutical agents are available. However, the GBM prognosis has not improved over the last decades. Multiple clinical trials on Cell and Gene Therapies are ongoing but, there is a huge need to define standardized and innovative strategies to promote better patient selection, implement adaptative designs and specific laboratory assays, and tailor the clinical endpoint assessments. Methods: Medical experts panel agreed on the following insights and gave advice to improve the design and conduct of GBM trials. Results: The criteria for selecting patients are not uniform among studies. The 2021 WHO Classification of central nervous system tumors has yet to be universally adopted, and different tumor entities are being treated as GBM according to the prior 2016 classification. Furthermore, the required genetic testing panel is only available in some countries as part of routine testing. A wide range of CGT therapies are being studied with different mechanisms of action and are well suited to be administered as combinatory regimens and multiple-dosing schedules to boost the antitumor effect. The implementation of master protocols offers the possibility to test different schedules to identify the most promising for further investigation during early phase development. There is a lack of biomarkers for the patient- or cancer-specific sensitivity and the efficacy of CGT. This is important not only to target clinical treatments to the appropriate patients and identify responding/non-responding patients early during treatment but also to improve the preclinical models and identify targets for further therapeutic development. Investigators should use standard endpoint criteria when reporting clinical outcomes. It has been common to refrain from introducing any preliminary-effect objective in the early stages. This tendency changes after guidance from experts and regulatory agencies about maximizing early-phase data. Another vital endpoint in the early phases is assessing patient immunogenicity against CG therapy based on humoral and cell virus-specific and tumor-specific immune responses. This is especially important as there are significant concerns in translating preclinical safety results to the clinic due to the species-specificity of different viruses and critical differences between immune systems. Conclusions: Today, the purpose of treatment for GBM is to extend the survival period and to manage the disease while preserving the patient’s quality of life. The goal of CGT is a durable complete response, but to achieve this target, we will need a deep analysis of how we perform clinical trials and move to an expert and tailored research environment.

model conditional on the crowding out of tobacco was created using quadratic conditional Engel curves. X2 tests for consumer separability were also performed. Additionally, an analysis of tobacco tax progressivity was completed in order to enhance policy recommendations. Kakwani indices were generated and dominance tests conducted. Findings: Overall, households which consume tobacco spend less on certain commodities compared to households which do not consume tobacco (reduction of expenditure on fruits, vegetables, grains, pulses, education, transportation and fuel are significant at a 5% level). These goods have nutrition and family welfare implications. Generally, trends are more pronounced in urban settings. Also, poorer quintiles tended to spend a greater proportion of their budget on tobacco (3.6% poorest quintile, 2.7% richest quintile). X2 tests led to rejection of the separability between tobacco and most other goods, meaning that tobacco consumers have different preferences and behave differently than non-tobacco consumers.The preliminary conditional demand model confirms many of the trends in the descriptive statistics, namely that vegetable and education spending shares are adversely impacted by tobacco consumption. Initial analysis demonstrates that tobacco taxation is progressive, highlighting potential equity implications to increases of tobacco taxation. Interpretation: There is evidence to suggest that tobacco spending crowds-out the consumption of goods, such as vegetables and education. In particular, poor households and those living in urban areas are most vulnerable. Key policy implications arise regarding the importance of tobacco control measures, such as taxation. Funding: None.