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Featured researches published by Cédric Abat.


Journal of Clinical Microbiology | 2013

Identification of Rare Pathogenic Bacteria in a Clinical Microbiology Laboratory: Impact of Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry

Cédric Abat; Jean Marc Rolain; Philippe Colson; Jean-Christophe Lagier; Frédérique Gouriet; Pierre Edouard Fournier; Michel Drancourt; Bernard La Scola; Didier Raoult

ABSTRACT During the past 5 years, matrix-assisted laser desorption ionization–time of flight (MALDI-TOF) mass spectrometry (MS) has become a powerful tool for routine identification in many clinical laboratories. We analyzed our 11-year experience in routine identification of clinical isolates (40 months using MALDI-TOF MS and 91 months using conventional phenotypic identification [CPI]). Among the 286,842 clonal isolates, 284,899 isolates of 459 species were identified. The remaining 1,951 isolates were misidentified and required confirmation using a second phenotypic identification for 670 isolates and using a molecular technique for 1,273 isolates of 339 species. MALDI-TOF MS annually identified 112 species, i.e., 36 species/10,000 isolates, compared to 44 species, i.e., 19 species/10,000 isolates, for CPI. Only 50 isolates required second phenotypic identifications during the MALDI-TOF MS period (i.e., 4.5 reidentifications/10,000 isolates) compared with 620 isolates during the CPI period (i.e., 35.2/10,000 isolates). We identified 128 bacterial species rarely reported as human pathogens, including 48 using phenotypic techniques (22 using CPI and 37 using MALDI-TOF MS). Another 75 rare species were identified using molecular methods. MALDI-TOF MS reduced the time required for identification by 55-fold and 169-fold and the cost by 5-fold and 96-fold compared with CPI and gene sequencing, respectively. MALDI-TOF MS was a powerful tool not only for routine bacterial identification but also for identification of rare bacterial species implicated in human infectious diseases. The ability to rapidly identify bacterial species rarely described as pathogens in specific clinical specimens will help us to study the clinical burden resulting from the emergence of these species as human pathogens, and MALDI-TOF MS may be considered an alternative to molecular methods in clinical laboratories.


International Journal of Infectious Diseases | 2016

Traditional and syndromic surveillance of infectious diseases and pathogens

Cédric Abat; Hervé Chaudet; Jean-Marc Rolain; Philippe Colson; Didier Raoult

Summary Background Infectious diseases remain a major public health problem worldwide. Hence, their surveillance is critical. Currently, many surveillance strategies and systems are in use around the world. An inventory of the data, surveillance strategies, and surveillance systems developed worldwide for the surveillance of infectious diseases is presented herein, with emphasis on the role of the microbiology laboratory in surveillance. Methods The data, strategies, and systems used around the world for the surveillance of infectious diseases and pathogens, along with current issues and trends, were reviewed. Results Twelve major classes of data were identified on the basis of their timing relative to infection, resources available, and type of surveillance. Two primary strategies were compared: disease-specific surveillance and syndromic surveillance. Finally, 262 systems implemented worldwide for the surveillance of infections were registered and briefly described, with a focus on those based on microbiological data from laboratories. Conclusions There is currently a wealth of available data on infections, which has been growing with the recent emergence of new technologies. Concurrently with the expansion of computer resources and networks, these data will allow the optimization of real-time detection and notification of infections.


Emerging Infectious Diseases | 2015

Real-Time Microbiology Laboratory Surveillance System to Detect Abnormal Events and Emerging Infections, Marseille, France.

Cédric Abat; Hervé Chaudet; Philippe Colson; Jean-Marc Rolain; Didier Raoult

We implemented a laboratory data–based syndromic surveillance system that can be rapidly applied and used as a first tool.


Microbial Drug Resistance | 2016

Low Level of Resistance in Enterococci Isolated in Four Hospitals, Marseille, France

Cédric Abat; Didier Raoult; Jean-Marc Rolain

Enterococci are gram-positive cocci responsible for various infections worldwide, and their prevalence of antibiotic resistance greatly varies worldwide. This study investigates the prevalence of resistance to antibiotics in enterococci from patients admitted in the four university hospitals of Marseille between January 2013 and September 2014. Two thousand nine hundred seventy-six patients-bacteria couples were identified (2,507 Enterococcus faecalis and 469 Enterococcus faecium) in the four university hospitals of Marseille. 1.3%, 8.9%, 1.4%, and 0% of E. faecalis strains were resistant to amoxicillin, gentamicin, teicoplanin, and vancomycin, respectively, and 83.9%, 49.2%, 1.3%, and 0.2% of E. faecium strains were resistant to amoxicillin, gentamicin, teicoplanin, and vancomycin, respectively. Resistance to aminoglycosides and vancomycin in strains isolated from blood cultures was significantly lower than that of most European countries included in the 2012 European Antimicrobial Resistance Surveillance Network report. Our low percentage of antibiotic resistance in enterococci is likely due to a low level of E. faecium infections, underlining the need to implement surveillance systems, especially to monitor the E. faecalis/E. faecium ratio evolution in blood cultures and others.


Journal of Medical Virology | 2015

Emergence of clusters of CRF02_AG and B human immunodeficiency viral strains among men having sex with men exhibiting HIV primary infection in southeastern France.

Catherine Tamalet; Isabelle Ravaux; Jacques Moreau; Sylvie Brégigeon; Christian Tourres; Hervé Richet; Cédric Abat; Philippe Colson

The number of new HIV diagnoses is increasing in the western world and transmission clusters have been recently identified among men having sex with men despite Highly Active Antiretroviral Therapy efficacy. The objective of this study was to assess temporal trends, epidemiological, clinical and virological characteristics of primary HIV infections. A retrospective analysis of 79 patients presenting primary HIV infections from 2005 to 2012 was performed in Marseille University Hospitals, southeastern France. Clinical, epidemiological and immunovirological data including phylogeny based on the polymerase gene were collected. 65 males and 14 females were enrolled. The main transmission route was homosexual contact (60.8%). Patients were mostly infected with subtype B (73.4%) and CRF02_AG (21.5%) HIV‐1 strains. An increase in the annual number of HIV seroconversions among new HIV diagnoses from 5% in 2005 to 11.2% in 2012 (P = 0.06) and of the proportion of CRF02_AG HIV strains among primary HIV infections in 2011–2012 as compared to 2005–2010 (P = 0.055) was observed. Phylogenetic analysis revealed four transmission clusters including three transmission clusters among men having sex with men: two large clusters of nine CRF02_AG, six B HIV strains; and one small cluster of three B HIV strains. Clusters involved more frequently men (P = 0.01) belonging to caucasian ethicity (P = 0.05), with a higher HIV RNA load at inclusion (P = 0.03). These data highlight the importance of improving epidemiological surveillance and of implementing suitable prevention strategies to control the spread of HIV transmission among men having sex with men. J. Med. Virol. 87:1327–1333, 2015.


PLOS ONE | 2015

EPIMIC: A Simple Homemade Computer Program for Real-Time EPIdemiological Surveillance and Alert Based on MICrobiological Data.

Philippe Colson; Jean-Marc Rolain; Cédric Abat; Rémi N. Charrel; Pierre-Edouard Fournier; Didier Raoult

Background and Aims Infectious diseases (IDs) are major causes of morbidity and mortality and their surveillance is critical. In 2002, we implemented a simple and versatile homemade tool, named EPIMIC, for the real-time systematic automated surveillance of IDs at Marseille university hospitals, based on the data from our clinical microbiology laboratory, including clinical samples, tests and diagnoses. Methods This tool was specifically designed to detect abnormal events as IDs are rarely predicted and modeled. EPIMIC operates using Microsoft Excel software and requires no particular computer skills or resources. An abnormal event corresponds to an increase above, or a decrease below threshold values calculated based on the mean of historical data plus or minus 2 standard deviations, respectively. Results Between November 2002 and October 2013 (11 years), 293 items were surveyed weekly, including 38 clinical samples, 86 pathogens, 79 diagnosis tests, and 39 antibacterial resistance patterns. The mean duration of surveillance was 7.6 years (range, 1 month-10.9 years). A total of 108,427 Microsoft Excel file cells were filled with counts of clinical samples, and 110,017 cells were filled with counts of diagnoses. A total of 1,390,689 samples were analyzed. Among them, 172,180 were found to be positive for a pathogen. EPIMIC generated a mean number of 0.5 alert/week on abnormal events. Conclusions EPIMIC proved to be efficient for real-time automated laboratory-based surveillance and alerting at our university hospital clinical microbiology laboratory-scale. It is freely downloadable from the following URL: http://www.mediterranee-infection.com/article.php?larub=157&titre=bulletin-epidemiologique (last accessed: 20/11/2015).


International Journal of Antimicrobial Agents | 2015

Increasing burden of urinary tract infections due to intrinsic colistin-resistant bacteria in hospitals in Marseille, France.

Cédric Abat; Guillaume Desboves; Abiola Olumuyiwa Olaitan; Hervé Chaudet; Nicole Roattino; Pierre-Edouard Fournier; Philippe Colson; Didier Raoult; Jean-Marc Rolain

The emergence of multidrug-resistant (MDR) Gram-negative bacteria has become a major public health problem, eliciting renewed interest in colistin, an old antibiotic that is now routinely used to treat MDR bacterial infections. Here we investigated whether colistin use has affected the prevalence of infections due to intrinsic colistin-resistant bacteria (CRB) in university hospitals in Marseille (France) over a 5-year period. All data from patients infected by intrinsic CRB were compiled from January 2009 to December 2013. Escherichia coli infections were used for comparison. Colistin consumption data were also collected from pharmacy records from 2008 to 2013. A total of 4847 intrinsic CRB infections, including 3150 Proteus spp., 847 Morganella spp., 704 Serratia spp. and 146 Providencia spp., were collected between 2009 and 2013. During this period, the annual incidence rate of hospital-acquired CRB infections increased from 220 per 1000 patients to 230 per 1000 patients and that of community-acquired CRB infections increased from 100 per 1000 patients to 140 per 1000 patients. In parallel, colistin consumption increased 2.2-fold from 2008 to 2013, mainly because of an increase in the use of colistin aerosol forms (from 50 unitary doses to 2926 unitary doses; P<10(-5)) that was significantly correlated with an increase in the number of patients positive for CRB admitted to ICUs and units of long-term care between 2009 and 2013 (r=0.91; P=0.03). The global rise in infections due to intrinsic CRB is worrying and surveillance is warranted to better characterise this intriguing epidemiological change.


Lancet Infectious Diseases | 2017

How artificial is the antibiotic resistance definition

Seydina M. Diene; Cédric Abat; Jean-Marc Rolain; Didier Raoult

We agree with The Lancet Infectious Diseases that any prioritisation exercise to select important organisms for new antibiotic research inevitably leads to a decrease in emphasis for other pathogens omitted from the selection, such as mycobacteria. Restricting the list to promote research on antibacterial agents might be justifiable; however, Mycobacterium tuberculosis is a bacterium. It is insufficient to state How artificial is the antibiotic resistance definition?


Clinical Infectious Diseases | 2017

Evaluating the Clinical Burden and Mortality Attributable to Antibiotic Resistance: The Disparity of Empirical Data and Simple Model Estimations

Cédric Abat; Jean-Marc Rolain; Grégory Dubourg; Pierre-Edouard Fournier; Hervé Chaudet; Didier Raoult

Given the proliferation of cataclysmic predictions about antibiotic resistance, cases of which are estimated to amount to 12500 per year in France, we herein decided to compare the empirical clinical microbiology data from our institution with estimates and predictions from 10 major international scientific articles and reports. The analysis of 7 years of antibiotic resistance data from 10 bacterial species and genera of clinical interest from our institution identified no deaths that were directly attributable to extremely drug-resistant bacteria. By comparing our observations to the 10 articles and reports studied herein, we concluded that their results lack empirical data. Interventions are urgently needed to significantly reduce both mortality and the healthcare costs associated with bacterial infections, including the implementation of local and national laboratory data-based surveillance systems for the routine surveillance of antibiotic resistance that would be helpful for a better understanding of how to manage antibiotic-resistant bacteria in the future.


new microbes and new infections | 2016

Facklamia hominis scapula abscess, Marseille, France.

Cédric Abat; V. Garcia; Jean-Marc Rolain

Facklamia hominis is a Gram-positive bacterium that was first isolated from various human samples, excluding abscesses of the scapula. We here report the first scapular abscess infection due to F. hominis, found in Marseille, France. We also reviewed all cases published in the literature.

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Didier Raoult

Aix-Marseille University

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Jean-Marc Rolain

French Institute of Health and Medical Research

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Hervé Chaudet

Aix-Marseille University

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Philippe Colson

Centre national de la recherche scientifique

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V. Garcia

Aix-Marseille University

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Philippe Colson

Centre national de la recherche scientifique

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Cheikh Sokhna

Aix-Marseille University

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