Journal Article > LetterFull Text
Nature. 2015 June 17; Volume 524 (Issue 7563); 97-101.; DOI:10.1038/nature14594
Carroll MW, Matthews DA, Hiscox JA, Elmore MJ, Pollakis G, et al.
Nature. 2015 June 17; Volume 524 (Issue 7563); 97-101.; DOI:10.1038/nature14594
West Africa is currently witnessing the most extensive Ebola virus (EBOV) outbreak so far recorded. Until now, there have been 27,013 reported cases and 11,134 deaths. The origin of the virus is thought to have been a zoonotic transmission from a bat to a twoyear-old boy in December 2013 (ref. 2). From this index case the virus was spread by human-to-human contact throughout Guinea, Sierra Leone and Liberia. However, the origin of the particular virus in each country and time of transmission is not known and currently relies on epidemiological analysis, which may be unreliable owing to the difficulties of obtaining patient information. Here we trace the genetic evolution of EBOV in the current outbreak that has resulted in multiple lineages. Deep sequencing of 179 patient samples processed by the European Mobile Laboratory, the first diagnostics unit to be deployed to the epicentre of the outbreak in Guinea, reveals an epidemiological and evolutionary history of the epidemic from March 2014 to January 2015. Analysis of EBOV genome evolution has also benefited from a similar sequencing effort of patient samples from Sierra Leone. Our results confirm that the EBOV from Guinea moved into Sierra Leone, most likely in April or early May. The viruses of the Guinea/Sierra Leone lineage mixed around June/July 2014. Viral sequences covering August, September and October 2014 indicate that this lineage evolved independently within Guinea. These data can be used in conjunction with epidemiological information to test retrospectively the effectiveness of control measures, and provides an unprecedented window into the evolution of an ongoing viral haemorrhagic fever outbreak.
Journal Article > ReviewFull Text
Clin Microbiol Infect. 2021 October 1; Volume 27 (Issue 10); 1414-1421.; DOI:10.1016/j.cmi.2021.04.015
Ronat JB, Natale A, Kesteman T, Andremont A, Elamin W, et al.
Clin Microbiol Infect. 2021 October 1; Volume 27 (Issue 10); 1414-1421.; DOI:10.1016/j.cmi.2021.04.015
BACKGROUND
In low- and middle-income countries (LMICs), data related to antimicrobial resistance (AMR) are often inconsistently collected. Humanitarian, private and non-governmental medical organizations (NGOs), working with or in parallel to public medical systems, are sometimes present in these contexts. Yet, what is the role of NGOs in the fight against AMR, and how can they contribute to AMR data collection in contexts where reporting is scarce? How can context-adapted, high-quality clinical bacteriology be implemented in remote, challenging and underserved areas of the world?
OBJECTIVES
The aim was to provide an overview of AMR data collection challenges in LMICs and describe one initiative, the Mini-Lab project developed by Médecins Sans Frontières (MSF), that attempts to partially address them.
SOURCES
We conducted a literature review using PubMed and Google scholar databases to identify peer-reviewed research and grey literature from publicly available reports and websites.
CONTENT
We address the necessity of and difficulties related to obtaining AMR data in LMICs, as well as the role that actors outside of public medical systems can play in the collection of this information. We then describe how the Mini-Lab can provide simplified bacteriological diagnosis and AMR surveillance in challenging settings.
IMPLICATIONS
NGOs are responsible for a large amount of healthcare provision in some very low-resourced contexts. As a result, they also have a role in AMR control, including bacteriological diagnosis and the collection of AMR-related data. Actors outside the public medical system can actively contribute to implementing and adapting clinical bacteriology in LMICs and can help improve AMR surveillance and data collection.
In low- and middle-income countries (LMICs), data related to antimicrobial resistance (AMR) are often inconsistently collected. Humanitarian, private and non-governmental medical organizations (NGOs), working with or in parallel to public medical systems, are sometimes present in these contexts. Yet, what is the role of NGOs in the fight against AMR, and how can they contribute to AMR data collection in contexts where reporting is scarce? How can context-adapted, high-quality clinical bacteriology be implemented in remote, challenging and underserved areas of the world?
OBJECTIVES
The aim was to provide an overview of AMR data collection challenges in LMICs and describe one initiative, the Mini-Lab project developed by Médecins Sans Frontières (MSF), that attempts to partially address them.
SOURCES
We conducted a literature review using PubMed and Google scholar databases to identify peer-reviewed research and grey literature from publicly available reports and websites.
CONTENT
We address the necessity of and difficulties related to obtaining AMR data in LMICs, as well as the role that actors outside of public medical systems can play in the collection of this information. We then describe how the Mini-Lab can provide simplified bacteriological diagnosis and AMR surveillance in challenging settings.
IMPLICATIONS
NGOs are responsible for a large amount of healthcare provision in some very low-resourced contexts. As a result, they also have a role in AMR control, including bacteriological diagnosis and the collection of AMR-related data. Actors outside the public medical system can actively contribute to implementing and adapting clinical bacteriology in LMICs and can help improve AMR surveillance and data collection.
Journal Article > CommentaryFull Text
J Antimicrob Chemother. 2019 April 10; Volume 1 (Issue 1); dlz002.; DOI:10.1093/jacamr/dlz002
Kanapathipillai R, Malou N, Hopman J, Bowman C, Yousef N, et al.
J Antimicrob Chemother. 2019 April 10; Volume 1 (Issue 1); dlz002.; DOI:10.1093/jacamr/dlz002
Médecins Sans Frontières (MSF) has designed context-adapted antibiotic resistance (ABR) responses in countries across the Middle East. There, some health systems have been severely damaged by conflict resulting in delayed access to care, crowded facilities and supply shortages. Microbiological surveillance data are rarely available, but when MSF laboratories are installed we often find MDR bacteria at alarming levels. In MSF’s regional hospital in Jordan, where surgical patients have often had multiple surgeries in field hospitals before reaching definitive care (often four or more), MSF microbiological data analysis reveals that, among Enterobacteriaceae isolates, third-generation cephalosporin and carbapenem resistance is 86.2% and 4.3%, respectively; MRSA prevalence among Staphylococcus aureus is 60.5%; and resistance types and rates are similar in patients originating from Yemen, Syria and Iraq. These trends compel MSF to aggressively prevent and diagnose ABR in Jordan, providing ABR lessons that inform the antibiotic choices, microbiological diagnostics and anti-ABR strategies in other Middle Eastern MSF trauma projects (such as Yemen and Gaza).
As a result, MSF has created a multifaceted, context-adapted, field experience-based, approach to ABR in hospitals in Middle Eastern conflict settings. We focus on three pillars: (1) infection prevention and control (IPC); (2) microbiology and surveillance; and (3) antibiotic stewardship.
As a result, MSF has created a multifaceted, context-adapted, field experience-based, approach to ABR in hospitals in Middle Eastern conflict settings. We focus on three pillars: (1) infection prevention and control (IPC); (2) microbiology and surveillance; and (3) antibiotic stewardship.
Journal Article > ResearchFull Text
JAC Antimicrob Resist. 2024 March 5; Volume 6 (Issue 2); dlae024.; DOI:10.1093/jacamr/dlae024
Almehdar H, Yousef N, van den Boogaard W, Haider A, Kanapathipillai R, et al.
JAC Antimicrob Resist. 2024 March 5; Volume 6 (Issue 2); dlae024.; DOI:10.1093/jacamr/dlae024
BACKGROUND
Antimicrobial resistance (AMR) is an urgent global health concern, especially in countries facing instability or conflicts, with compromised healthcare systems. Médecins Sans Frontières (MSF) established an acute trauma hospital in Aden, Yemen, treating mainly war-wounded civilians, and implemented an antimicrobial stewardship (AMS) programme. This study aimed to describe clinical characteristics and identify antibiotic susceptibility patterns representative of patients treated with antibiotics.
METHODS
Retrospective cross-sectional study using routinely collected data from all patients treated with antibiotics in the MSF-Aden Acute Trauma hospital between January 2018 and June 2021. Routine clinical data from patients’ files was entered into an AMS electronic database and microbiological data were entered into WHONET. Both databases were imported and merged in REDCap and analysed using RStudio.
RESULTS
Three hundred and sixty-three of 481 (75%) included patients were injured by violence-related trauma. Most were men aged 19–45 years (n = 331; 68.8%). In total, 598 infections were diagnosed and treated. MDR organisms were identified in 362 (60.5%) infections in 311 (65%) patients. Skin and soft-tissue infections (SSTIs) (n = 143; 24%) were the most common, followed by osteomyelitis (n = 125; 21%) and intra-abdominal-infections (IAIs) (n = 116; 19%), and 111 (19%) secondary bloodstream infections were identified. Escherichia coli was the most frequently identified pathogen, causing IAI (n = 87; 28%) and SSTI (n = 43; 16%), while Staphylococcus aureus caused mainly osteomyelitis (n = 84; 19%). Most Gram-negatives were ESBL producers, including E. coli (n = 193; 81.4%), Klebsiella pneumoniae (n = 72; 77.4%) and Enterobacter cloacae (n = 39; 50%) while most S. aureus were methicillin resistant (n = 93; 72.6%).
CONCLUSIONS
High rates of MDR were found. This information will facilitate a comprehensive review of the empirical antibiotic treatment guidelines.
Antimicrobial resistance (AMR) is an urgent global health concern, especially in countries facing instability or conflicts, with compromised healthcare systems. Médecins Sans Frontières (MSF) established an acute trauma hospital in Aden, Yemen, treating mainly war-wounded civilians, and implemented an antimicrobial stewardship (AMS) programme. This study aimed to describe clinical characteristics and identify antibiotic susceptibility patterns representative of patients treated with antibiotics.
METHODS
Retrospective cross-sectional study using routinely collected data from all patients treated with antibiotics in the MSF-Aden Acute Trauma hospital between January 2018 and June 2021. Routine clinical data from patients’ files was entered into an AMS electronic database and microbiological data were entered into WHONET. Both databases were imported and merged in REDCap and analysed using RStudio.
RESULTS
Three hundred and sixty-three of 481 (75%) included patients were injured by violence-related trauma. Most were men aged 19–45 years (n = 331; 68.8%). In total, 598 infections were diagnosed and treated. MDR organisms were identified in 362 (60.5%) infections in 311 (65%) patients. Skin and soft-tissue infections (SSTIs) (n = 143; 24%) were the most common, followed by osteomyelitis (n = 125; 21%) and intra-abdominal-infections (IAIs) (n = 116; 19%), and 111 (19%) secondary bloodstream infections were identified. Escherichia coli was the most frequently identified pathogen, causing IAI (n = 87; 28%) and SSTI (n = 43; 16%), while Staphylococcus aureus caused mainly osteomyelitis (n = 84; 19%). Most Gram-negatives were ESBL producers, including E. coli (n = 193; 81.4%), Klebsiella pneumoniae (n = 72; 77.4%) and Enterobacter cloacae (n = 39; 50%) while most S. aureus were methicillin resistant (n = 93; 72.6%).
CONCLUSIONS
High rates of MDR were found. This information will facilitate a comprehensive review of the empirical antibiotic treatment guidelines.
Journal Article > ResearchFull Text
Nature. 2016 May 4; Volume 533 (Issue 7601); 100-104.; DOI:10.1038/nature17949
Ruibal P, Oestereich L, Ludtke A, Becker-Ziaja B, Wozniak DM, et al.
Nature. 2016 May 4; Volume 533 (Issue 7601); 100-104.; DOI:10.1038/nature17949
Despite the magnitude of the Ebola virus disease (EVD) outbreak in West Africa, there is still a fundamental lack of knowledge about the pathophysiology of EVD. In particular, very little is known about human immune responses to Ebola virus. Here we evaluate the physiology of the human T cell immune response in EVD patients at the time of admission to the Ebola Treatment Center in Guinea, and longitudinally until discharge or death. Through the use of multiparametric flow cytometry established by the European Mobile Laboratory in the field, we identify an immune signature that is unique in EVD fatalities. Fatal EVD was characterized by a high percentage of CD4(+) and CD8(+) T cells expressing the inhibitory molecules CTLA-4 and PD-1, which correlated with elevated inflammatory markers and high virus load. Conversely, surviving individuals showed significantly lower expression of CTLA-4 and PD-1 as well as lower inflammation, despite comparable overall T cell activation. Concomitant with virus clearance, survivors mounted a robust Ebola-virus-specific T cell response. Our findings suggest that dysregulation of the T cell response is a key component of EVD pathophysiology.
Conference Material > Poster
Qasim A, Aqel R, Walker C, Moussally K, Alnajjar M, et al.
MSF Scientific Days International 2023. 2023 June 7; DOI:10.57740/jgby-g906
Conference Material > Poster
Goodyer J, Elbadawi H, Mayronne S, Lynch E, Michel J, et al.
MSF Paediatric Days 2022. 2022 November 30; DOI:10.57740/2cfg-vx89