33 research outputs found

    Adherence to self-administered tuberculosis treatment in a high HIV-prevalence setting: a cross-sectional survey in Homa Bay, Kenya.

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    Good adherence to treatment is crucial to control tuberculosis (TB). Efficiency and feasibility of directly observed therapy (DOT) under routine program conditions have been questioned. As an alternative, Médecins sans Frontières introduced self-administered therapy (SAT) in several TB programs. We aimed to measure adherence to TB treatment among patients receiving TB chemotherapy with fixed dose combination (FDC) under SAT at the Homa Bay district hospital (Kenya). A second objective was to compare the adherence agreement between different assessment tools

    The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance

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    INTRODUCTION Investment in Africa over the past year with regard to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing has led to a massive increase in the number of sequences, which, to date, exceeds 100,000 sequences generated to track the pandemic on the continent. These sequences have profoundly affected how public health officials in Africa have navigated the COVID-19 pandemic. RATIONALE We demonstrate how the first 100,000 SARS-CoV-2 sequences from Africa have helped monitor the epidemic on the continent, how genomic surveillance expanded over the course of the pandemic, and how we adapted our sequencing methods to deal with an evolving virus. Finally, we also examine how viral lineages have spread across the continent in a phylogeographic framework to gain insights into the underlying temporal and spatial transmission dynamics for several variants of concern (VOCs). RESULTS Our results indicate that the number of countries in Africa that can sequence the virus within their own borders is growing and that this is coupled with a shorter turnaround time from the time of sampling to sequence submission. Ongoing evolution necessitated the continual updating of primer sets, and, as a result, eight primer sets were designed in tandem with viral evolution and used to ensure effective sequencing of the virus. The pandemic unfolded through multiple waves of infection that were each driven by distinct genetic lineages, with B.1-like ancestral strains associated with the first pandemic wave of infections in 2020. Successive waves on the continent were fueled by different VOCs, with Alpha and Beta cocirculating in distinct spatial patterns during the second wave and Delta and Omicron affecting the whole continent during the third and fourth waves, respectively. Phylogeographic reconstruction points toward distinct differences in viral importation and exportation patterns associated with the Alpha, Beta, Delta, and Omicron variants and subvariants, when considering both Africa versus the rest of the world and viral dissemination within the continent. Our epidemiological and phylogenetic inferences therefore underscore the heterogeneous nature of the pandemic on the continent and highlight key insights and challenges, for instance, recognizing the limitations of low testing proportions. We also highlight the early warning capacity that genomic surveillance in Africa has had for the rest of the world with the detection of new lineages and variants, the most recent being the characterization of various Omicron subvariants. CONCLUSION Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve. This is important not only to help combat SARS-CoV-2 on the continent but also because it can be used as a platform to help address the many emerging and reemerging infectious disease threats in Africa. In particular, capacity building for local sequencing within countries or within the continent should be prioritized because this is generally associated with shorter turnaround times, providing the most benefit to local public health authorities tasked with pandemic response and mitigation and allowing for the fastest reaction to localized outbreaks. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century

    Parents as carers on a neonatal unit: Qualitative study of parental and staff perceptions in a low-income setting.

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    AIM: To determine parents' experiences on a neonatal unit in a low-income country, how they and staff perceive the role of parents and if parents' role as primary carers could be extended. BACKGROUND: A busy, rural district hospital in Rwanda. Rwandan neonatal mortality is falling, but achieving Sustainable Development Goal target is hampered by trained staff shortage. METHODS: Qualitative thematic content analysis of semi-structured interviews with 12 parents and 16 staff. RESULTS: Parental concerns were around their baby's survival, stress and discharge. They were satisfied with their baby's care but feared their baby may die. Mothers described stress from remaining in hospital throughout baby's stay, providing all non-technical care including tube or breast feeds day and night, followed by kangaroo mother care until discharge. They expressed loneliness from lack of visitors, difficulty finding food and somewhere to sleep, financial worries, concern about family at home, and were desperate to be discharged. Staff focused on shortage of nurses limiting technical care, ability to educate parents and provide follow-up. Neither groups thought parents' role could be extended. CONCLUSION: Staff, including senior management, were mainly focused on increasing nursing numbers. Parents' concerns were psychosocial and about coping emotionally with their baby's care and practical concerns about inpatient facilities, particularly lack of food and accommodation and absence from home. Staff preoccupation with nurse numbers made them concentrate on medical care, but parental issues identified are more likely to be provided by experienced mothers, allied health professionals, mothers' groups or community health workers

    Multimodal quantification and validation of 3D regional myocardial function

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    International audienceThe aim of this project is to design a generic formalism for parietal and regional tracking of the left ventricle (LV) and to adapt it to 3D+t3D+t cardiac imaging modalities used in clinical routine (echocardiography, gated-SPECT, cine-MRI). The estimated displacement field must be reliable enough and insensitive to various artifacts to assess regional myocardial function in 3D from the accurate and precise computation of strain. The strain has recently proved to be of great interest for diagnosis and prognostic in cardiology, but its interpretation remains difficult because of the relative nature of the indices. The clinical objective of the 3DStrain project is to bring answers about the knowledge of normality

    Evaluation of latent class analysis and decision thresholds to guide the diagnosis of pediatric tuberculosis in a Rwandan reference hospital [electronic only]

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    SETTING: A pediatric ward of a university hospital in Kigali, Rwanda, a region with a high HIV seroprevalence. OBJECTIVE: To estimate the diagnostic accuracy of symptoms, signs, and paraclinical investigations for tuberculosis in children, and to propose a clinical rule based on the results. DESIGN: During a 2-year period all children with cough for more than 2 weeks and/or fever for more than 2 weeks and/or reported weight loss were prospectively included. A set of clinical and paraclinical data were analyzed with latent class analysis. Comparison of post-test probability based on this analysis with a therapeutic threshold for TB was used to develop a guideline. RESULTS: In the 309 children HIV prevalence was 56%, bacteriology was positive in 9%, and the tuberculin skin test (TST) was >10 mm in 20%. TB prevalence was 32%. Bacteriology and TST had a specificity of 97% and cough had a sensitivity of 91%. Decision analysis suggests treating children presenting one of the inclusion criteria, combined with positive bacteriology or TST >10 mm or contact with a TB patient. CONCLUSIONS: Latent class analysis confirmed earlier identified predictors for TB and allowed development of an easy to use clinical rule, applicable in reference hospitals of countries with high HIV endemicity
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