Evaluation and prioritization of actions on food environments to address the double burden of malnutrition in Senegal: perspectives from a national expert panel.

OBJECTIVE: To evaluate the extent of implementation of public policies aimed at creating healthy eating environments in Senegal compared to international best practice and identity priority actions to address the double burden of malnutrition. DESIGN: The Healthy Food Environment Policy Index (Food-EPI) was used by a local expert panel to assess the level of implementation of 43 good practice policy and infrastructure support indicators against international best practices using a Likert scale and identify priority actions to address the double burden of malnutrition in Senegal. SETTING: Senegal, West Africa. PARTICIPANTS: A national group of independent experts from academia, civil society, non-governmental organizations and United Nations bodies (n =15) and a group of government experts from various ministries (n =16) participated in the study. RESULTS: Implementation of most indicators aimed at creating healthy eating environments were rated as "low" compared to best practice (31 on 43, or 72%). The Gwet AC2 inter-rater reliability was good at 0.75 (CI 0.70 - 0.80). In a prioritization workshop, experts identified forty-five actions, prioritizing ten as relatively most feasible and important and relatively most effective to reduce the double burden of malnutrition in Senegal (example: Develop and implement regional school menus based on local products (expand to 14 regions) and measure the extent of the promotion of unhealthy foods to children). CONCLUSIONS: Significant efforts remain to be made by Senegal to improve food environments. This project allowed to establish an agenda of priority actions for the government to transform food environments in Senegal to tackle the double burden of malnutrition.

Evaluation of Flow Cytometry for Cell Count and Detection of Bacteria in Biological Fluids.

The analysis of biological fluids is crucial for the diagnosis and monitoring of diseases causing effusions and helps in the diagnosis of infectious diseases. The gold standard method for cell count in biological fluids is the manual method using counting chambers. The microbiological routine procedures consist of Direct Gram staining and culture on solid or liquid media. We evaluate the analytical performance of SYSMEX UF4000 (Sysmex, Kobe, Japan) and Sysmex XN10 (Sysmex, Kobe, Japan) in comparison with cytological and microbiological routine procedures. A total of 526 biological fluid samples were included in this study (42 ascitic, 31 pleural, 31 peritoneal, 125 cerebrospinal, 281 synovial, and 16 peritoneal dialysis fluids). All samples were analyzed by flow cytometry and subsequently processed following cytological and/or microbiological routine procedures. With regard to cell counts, UF4000 (Sysmex, Kobe, Japan) showed a performance that was at least equivalent to those of the reference methods and superior to those of XN10 (Sysmex, Kobe, Japan). Moreover, the bacterial count obtained with UF4000 (Sysmex, Kobe, Japan) was significantly higher among culture or Direct Gram stain positive samples. We established three optimal cutoff points to predict Direct Gram stain positive samples for peritoneal (465.0 bacteria/µL), synovial (1200.0 bacteria/µL), and cerebrospinal fluids (17.2 bacteria/µL) with maximum sensitivity and negative predictive values. Cell count and detection of bacteria by flow cytometry could be used upstream cytological and microbiological routine procedures to improve and accelerate the diagnosis of infection of biological fluid samples. IMPORTANCE The analysis of biological fluids is crucial for the diagnosis and monitoring of diseases causing effusions and helps in the diagnosis of infectious diseases. The possibility of carrying out cytological and microbiological analyses of biological fluid samples on the same automated machine would simplify the sample circuit (addressing the sample in a single laboratory, 24/7). It would also minimize the quantity of sample required. The performance of cytological and microbiological analysis by the flow cytometer UF 4000 (Sysmex, Kobe, Japan) has never been evaluated yet. This study has shown that bacterial count by flow cytometry using UF4000 (Sysmex, Kobe, Japan) could be used upstream of microbiological routine procedures to improve and to accelerate the diagnosis of infection of biological fluid samples.