Implementation and Initial Analysis of a Laboratory-Based Weekly Biosurveillance System, Provence-Alpes-Côte d’Azur, France

Huart, Michael; Bédubourg, Gabriel; Abat, Cédric; Colson, Philippe; Rolain, Jean‐Marc; Chaudet, Hervé; Fournier, Pierre‐Edouard; Raoult, Didier; Deparis, Xavier

doi:10.3201/eid2304.161399

Cited by 10 publications

(13 citation statements)

References 23 publications

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“…Furthermore, they warrant the implementation of new technology-based diagnostic tests, approaches and strategies [12] , [54] , [55] , including culturomics, proteomics and genomics, to detect known infectious agents and discover new ones. Moreover, real-time surveillance tools, including some based on microbiology laboratory data such as those set up by our institution in southeastern France and in sub-Saharan Africa, deserve implementation [5] , [56] . Finally, the exploration of the microbiota and its relationships with dietary patterns is another important research field being explored at the Institut Hospitalo-Universitaire Méditerranée Infection [57] , [58] .…”

Section: Discussionmentioning

confidence: 99%

“…In our experience, such infections have been suspected several times. In 2015, our laboratory data–based surveillance system, PACASurvE (Provence-Alpes-Côte d’Azur Surveillance Epidemiologic System) [5] , detected several consecutive abnormal increases in the number of Enterococcus faecalis infections, especially community-acquired urinary tract infections, in different areas of the Provence-Alpes-Côte d’Azur French region [6] . Investigations led us to strongly suspect a zoonotic origin for the outbreak, with chicken-based food as a vehicle for the pathogen.…”

Section: Bacteriamentioning

confidence: 99%

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Investigations by the Institut Hospitalo-Universitaire Méditerranée Infection of food and food-borne infections in the Mediterranean Basin and in sub-Saharan Africa

Abat

Rolain

Colson

2018

New Microbes and New Infections

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Food-borne infections are major causes of public health concern in developing and developed countries. During the past decade, the Institut Hospitalo-Universitaire Méditerranée Infection has conducted or been involved in multiple investigations that aimed at identifying the sources and strains responsible for food-borne diseases and therefore at improving the understanding, diagnosis, prevention and control of these infections. Investigations were conducted in the Mediterranean area and in sub-Saharan Africa on more than 15 food-borne agents, 17 food products and 14 antibiotic resistance-associated genes. Multiple sources, including unexpected ones, and pathogens, including emerging ones, were involved. Travelling in developing countries and zoonoses are major contributors to food-borne infections, while food-borne transmission of resistance-associated genes is increasingly reported. However, risk factors and pathogens associated with food-borne infections likely remain untapped and must be more extensively investigated, monitored and regularly reassessed. Diagnostic tests based on new technologies and real-time surveillance tools based on microbiology laboratory data are promising approaches to detect known food-borne infections and decipher new ones. Studies of the microbiota and its relationships with dietary patterns are also worth being conducted.

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Section: Discussionmentioning

confidence: 99%

Section: Bacteriamentioning

confidence: 99%

Investigations by the Institut Hospitalo-Universitaire Méditerranée Infection of food and food-borne infections in the Mediterranean Basin and in sub-Saharan Africa

Abat

Rolain

Colson

2018

New Microbes and New Infections

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“…This disparity between reality and the myth of antibiotic resistance could only be resolved by implementing efficient antibiotic resistance surveillance systems that observe in real or nearreal-time the results of susceptibility testing in deceased and survivors patients, as it is already the case in our institution 6 . Therefore, at the Marseille University Hospital Institute, using the monitoring systems implemented BALYSES (Bacterial real-time Laboratory-based Surveillance) 15 , MARSS (Marseille Antibiotic Resistance Surveillance System) and PACASurvE (PACA Surveillance Epidemiologic System) 16 , we monitor weekly the results of all strains isolated in the 4…”

Section: Introductionmentioning

confidence: 99%

“…University Hospitals of Marseille (Assistance Publique Hôpitaux de Marseille) and in laboratories of the region which participate to this surveillance system for which antibiotic susceptibility testing (AST) results are available 6,15,16 .…”

Section: Introductionmentioning

confidence: 99%

Major discrepancy between factual antibiotic resistance and consumption in South of France: analysis of 539,037 bacterial strains

Diallo

Baron

Dubourg

et al. 2020

Preprint

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Introduction: The burden of antibiotic resistance is currently estimated by mathematical modeling, without real count of resistance to key antibiotics. Here we report the real rate of resistance to key antibiotics in bacteria isolated from humans during a 5 years period in a large area in southeast in France. Methods: We conducted a retrospective study on antibiotic susceptibility of 539,107 clinical strains isolated from hospital and private laboratories in south of France area from January 2014 to January 2019. The resistance rate to key antibiotics as well as the proportion of bacteria classified as Difficult-to-Treat (DTR) were determined and compared with the Mann-Whitney U test, the Chi-test or the Fisher's exact test. Results: Among 539,037 isolates, we did not observe any significant increase or decrease in resistance to key antibiotics for 5 years, (oxacillin resistance in Staphylococcus aureus, carbapenem resistance in enterobacteria and Pseudomonas aeruginosa and 3rd generation cephalosporin resistance in Escherichia coli and Klebsiella pneumoniae). However, we observed a significant decrease in imipenem resistance for Acinetobacter baumannii from 2014 to 2018 (24.19% to 12.27%; p=0.005) and a significant increase of ceftriaxone resistance in Klebsiella pneumoniae (9.9% to 24,03%; p=0.001) and Enterobacter cloacae (24,05% to 42,05%; p=0.004). Of these 539,037 isolates, 1,604 (0.3%) had a DTR phenotype. Conclusion: Over a 5-year period, we did not observe a burden of AR in our region despite a high rate of antibiotic consumption in our country. These results highlight the need for implementation of real-time AR surveillance systems which use factual data.

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“…Previous studies have demonstrated the benefit of laboratory surveillance and its capability to accurately detect influenza outbreaks earlier than syndromic surveillance. [3][4][5][6][7][8][9] Current laboratory surveillance has an approximately 4-week lag due to laboratory test turn-around time, data collection and data analysis. As part of strengthening influenza virus surveillance in response to the 2009 influenza A (H1N1) pandemic, the real-time laboratory-based influenza surveillance system, the Bangkok Dusit Medical Services Surveillance System (BDMS-SS), was developed in 2010 by the Bangkok Health Research Center (BHRC).…”

mentioning

confidence: 99%

Implementation of Real-Time Laboratory-Based Influenza Surveillance System, a Network of 20 Hospitals in Bangkok Dusit Medical Services Public Company Limited, Thailand

Piyaraj¹,

Pet-hoi²,

Kunanusont³

et al. 2017

bkkmedj

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OBJECTIVE: We describe the Bangkok Dusit Medical Services Surveillance System (BDMS-SS) and use of surveillance efforts for influenza as an example of surveillance capability in near real-time among a network of 20 hospitals in the Bangkok Dusit Medical Services group (BDMS). MATERIALS AND METHODS:The BDMS has a comprehensive network of laboratory, epidemiologic, and early warning surveillance systems which represents the largest body of information from private hospitals across Thailand. Hospitals and clinical laboratories have deployed automatic reporting mechanisms since 2010 and have effectively improved timeliness of laboratory data reporting. In April 2017, the capacity of near real-time influenza surveillance in BDMS was found to have a demonstrated and sustainable capability. RESULTS: : From October 2010 to April 2017, the real-time laboratory based surveillance system automatically uploaded test results and associated data which were 24 hours available to affiliated physicians, infectious nurses, local and national public health users. A total of 482,789 subjects were tested and 86,177 (17.84%) cases of influenza were identified. Of those positive cases, 40,552 (47.0%) were influenza type B, 31,412 (36.4%) were influenza A unspecified subtype, 6,181 (7.2%) were influenza A H1N1, 4,001 (4.6%) were influenza A H3N2, 3,835 (4.4%) were influenza A seasonal and 196 (0.4%) were respiratory syncytial virus. CONCLUSION: This system was the first near real-time influenza surveillance system in Thailand. This illustrates a high level of awareness and willingness among the BDMS hospital network to report emerging infectious diseases, and highlights the robust and sensitive nature of BDMS's surveillance system. It demonstrates the flexibility of the surveillance systems in BDMS to adapt to major communicable diseases. BDMS can more actively collaborate with national counterparts and use its expertise to strengthen global and regional surveillance capacity in Southeast Asia, in order to secure advances for a world safe and secure from infectious disease.

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Implementation and Initial Analysis of a Laboratory-Based Weekly Biosurveillance System, Provence-Alpes-Côte d’Azur, France

Cited by 10 publications

References 23 publications

Investigations by the Institut Hospitalo-Universitaire Méditerranée Infection of food and food-borne infections in the Mediterranean Basin and in sub-Saharan Africa

Investigations by the Institut Hospitalo-Universitaire Méditerranée Infection of food and food-borne infections in the Mediterranean Basin and in sub-Saharan Africa

Major discrepancy between factual antibiotic resistance and consumption in South of France: analysis of 539,037 bacterial strains

Implementation of Real-Time Laboratory-Based Influenza Surveillance System, a Network of 20 Hospitals in Bangkok Dusit Medical Services Public Company Limited, Thailand

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