The goal of this study was to estimate the distribution of pathogens, as well as their antimicrobial resistance pattern, in cows affected by clinical or subclinical mastitis in the Rhône-Alpes region of France. A total of 1770 samples were taken between January 2007 and March 2008, leading to the identification of 1631 bacterial isolates. Streptococcus uberis (22.1%), Escherichia coli (16%), and coagulase-positive staphylococci (15.8%) were identified as the major causative agents of clinical mastitis, whereas coagulase-positive staphylococci (30.2%), coagulase-negative staphylococci (13.7%), and Streptococcus dysgalactiae (9.3%) were predominantly implicated in subclinical mastitis. Yet, in both types of mastitis, about 20% of all cases were due to a large number of different bacterial species that were isolated at a low frequency (<5%), which cannot be considered as minor (e.g., Klebsiella spp.) or noncontagious (e.g., Corynebacterium spp.). The overall proportion of antibiotic resistance was low, except for penicillin G in staphylococci, as well as for macrolides and tetracycline in streptococci. Yet, these resistance proportions were much lower than those reported in human medicine. Besides providing up-to-date information on mastitis in France, this survey also indicates the prudent use of antibiotics by veterinarians. As a result, this study suggests that the risk of transmission of resistant bacteria from milk or milk products to human is very limited, even in case of consumption of raw milk. However, it also confirms the fact that attention must be maintained to avoid any emergence of such resistant bacteria.

Feces from 2,255 cattle (calves, young beef cattle, and culled cows) were collected at slaughter from nine departments across France. Campylobacter was recovered from 16.5% of the 2,255 samples (C. jejuni from 12.8% and C. coli from 3.7%), predominantly from calves. Antimicrobial resistance to six antibiotics of medical and/or veterinary interest was tested with the E-test. Resistance to tetracycline was found in most isolates (52.8% of C. jejuni isolates and 88.1% of C. coli isolates) in contrast to low but consistent resistance to ampicillin and erythromycin. Only two C. coli isolates were resistant to gentamicin. Multiple resistance was frequently detected in C. jejuni and C. coli isolates, and 0.8% (3 of 372) of the isolates were resistant to five of the six antimicrobials. An upward trend in the resistance to quinolones and fluoroquinolones in C. jejuni from calves was found; resistance to nalidixic acid reached 70.4% in 2006 and fluoroquinolone resistance increased from 29.7 to 70.4% during 2002 through 2006. All data were analyzed in parallel using clinical breakpoints or epidemiological cutoff values, and the results overlapped largely, except those for gentamicin. This 5-year survey (2002 through 2006) gives the first overview of the prevalence and antimicrobial resistance of C. jejuni and C. coli in cattle in France and documents to what extent cattle may contribute to the environmental reservoir of Campylobacter in France in the context of recurrent reports on links between human campylobacterioses and livestock. The results underline a notable increase in the resistance to fluoroquinolones in C. jejuni from cattle that may be of significant importance for public health.

In this study on a large continuous nationwide claims database, we confirm the safety profile of oral propranolol in healthy children to be good.

Background Validation studies on an ICD-10-based algorithm to identify major bleeding events are scarce, and mostly focused on positive predictive values. Objective To evaluate the sensitivity and specificity of an ICD-10-based algorithm in adult patients referred to hospital. Methods This was a cross-sectional, retrospective analysis. Among all hospital stays of adult patients referred to Rennes University Hospital, France, through the emergency ward in 2014, we identified major bleeding events according to an index test based on a list of ICD-10 diagnoses. As a reference, a two-step process was applied: firstly, a computerized request for electronic health records from the emergency ward, using several hemorrhage-related diagnostic codes and specific emergency therapies so as to discard stays with a very low probability of bleeding; secondly, a chart review of selected records was conducted by a medical expert blinded to the index test results and each hospital stay was classified into one of two exclusive categories: major bleeding or no major bleeding, according to pre-specified criteria. Results Out of 16,012 hospital stays, the reference identified 736 major bleeding events and left 15,276 stays considered as without the target condition. The index test identified 637 bleeding events: 293 intracranial hemorrhages, 197 gastrointestinal hemorrhages and 147 other bleeding events. Overall, sensitivity was 65% (95%CI, 62 to 69), and specificity was 99.0%. We observed differential sensitivity and specificity across bleeding types, with the highest values for intracranial hemorrhage. Positive predictive values ranged from 59% for “other” bleeding events, to 71% (95%CI, 65 to 78) for gastrointestinal hemorrhage, and 96% for intracranial hemorrhage. Conclusions Low sensitivity and differential measures of accuracy across bleeding types support the need for specific data collection and medical validation rather than using an ICD-10-based algorithm for assessing the incidence of major bleeding.

Multiresistance is a critical issue. This study points out the usefulness of cluster analysis techniques to describe concisely the antimicrobial susceptibility patterns of bacterial isolates in a way that could effectively help in generating hypotheses on multiresistance mechanisms. Data were selected from the French antimicrobial resistance survey network on veterinary pathogens (Resapath). They were related to 1545 Escherichia coli isolates, which were isolated from faecal samples of diarrhoeic calves in France between 2002 and 2006. Ten clusters of isolates displaying similar features in terms of resistance profile to 13 relevant antimicrobials were computed. The presence of two to ten simultaneous resistances was detected in nine out of the ten clusters. Looking at potential mechanistic interpretations, results may suggest genetic links between some resistance mechanisms, but this should be confirmed by molecular investigation of the corresponding isolates. Looking at therapeutical potential implications, the high level of resistance and multiresistance to several antimicrobials observed in E. coli makes a critical reassessment of empiric oral antimicrobial therapy in calves highly desirable.