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1.
Clin Microbiol Infect ; 24(6): 660.e1-660.e4, 2018 Jun.
Article in English | MEDLINE | ID: mdl-29066401

ABSTRACT

OBJECTIVES: Group A rotavirus is a major cause of acute gastroenteritis in young children worldwide. A prospective surveillance network has been set up in France to investigate rotavirus infections and to detect the emergence of potentially epidemic strains. METHODS: From 2014 to 2017, rotavirus-positive stool samples were collected from 2394 children under 5 years old attending the paediatric emergency units of 13 large hospitals. Rotaviruses were genotyped by RT-PCR with regard to their outer capsid proteins VP4 and VP7. RESULTS: Genotyping of 2421 rotaviruses showed that after a marked increase in G9P[8] (32.1%) during the 2014-2015 season, G9P[8] became the predominant genotype during the 2015-2016 and 2016-2017 seasons with detection rates of 64.1% and 77.3%, respectively, whereas G1P[8] were detected at low rates of 16.8% and 6.6%, respectively. Phylogenetic analysis of the partial rotavirus VP7 and VP4 coding genes revealed that all of these G9P [8] strains belonged to the lineage III and the P [8]-3 lineage, respectively, and shared the same genetic background (G9-P[8]-I1-R1-C1-M1-A1-N1-T1-E1-H1) as did most of previously detected G9P[8] strains and particularly the emerging G9P[8] strains from the 2004-2005 season in France. CONCLUSIONS: G9P[8] rotaviruses have become the predominant circulating genotype for the first time since their emergence a decade ago. In the absence of rotavirus immunization programmes in France, our data give an insight into the natural fluctuation of rotavirus genotypes in a non-vaccinated population and provide a base line for a better interpretation of data in European countries with routine rotavirus vaccination.


Subject(s)
Antigens, Viral/genetics , Capsid Proteins/genetics , Rotavirus Infections/virology , Rotavirus/classification , Child, Preschool , Evolution, Molecular , Female , France/epidemiology , Genotype , Humans , Infant , Infant, Newborn , Male , Phylogeny , Population Surveillance , Prospective Studies , Rotavirus/genetics , Rotavirus Infections/epidemiology
2.
Diabetes Care ; 21(11): 1919-24, 1998 Nov.
Article in English | MEDLINE | ID: mdl-9802744

ABSTRACT

OBJECTIVE: Our objective was to compare statistical and clinical methods for the evaluation of five self-monitoring blood glucose (SMBG) meters. RESEARCH DESIGN AND METHODS: Two successive capillary blood glucose measurements were performed, and a simultaneous laboratory venous glucose measurement was used as the reference value. Accuracy was studied by comparing each of the two successive meter values with the reference value by 1) a Spearman's correlation test, 2) a Wilcoxon's paired test, 3) the percentage of values within the 10% interval of the reference value according to the American Diabetes Association consensus statement, and 4) the error grid analysis. RESULTS: The first two methods did not discriminate between the SMBG systems: r was >0.92 for the five meters, and a significant difference between the meter and reference values was found for all but one meter. The two other methods allowed classification of the devices into three groups according to their accuracy: good (two meters), acceptable (two meters), and unacceptable (one meter). These two methods gave consistent results and both had a good reproducibility, because the classification was similar for the two successive measurements. CONCLUSIONS: Both the Spearman's and Wilcoxon's paired tests, although commonly used, are inappropriate to evaluate SMBG systems. The percentage of SMBG values within the +/-10% interval and the error grid analysis are more accurate, because they consistently classified the five glucose meters tested in our study with a high degree of reproducibility.


Subject(s)
Blood Glucose Self-Monitoring/instrumentation , Adult , Blood Glucose Self-Monitoring/standards , Blood Glucose Self-Monitoring/statistics & numerical data , Female , Humans , Male , Middle Aged , Reference Values , Reproducibility of Results
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