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1.
Stud Health Technol Inform ; 264: 1425-1426, 2019 Aug 21.
Artigo em Inglês | MEDLINE | ID: mdl-31438163

RESUMO

We present the regional professional network to support the Renal Epidemiology Information Network (REIN) registry in maintaining high quality data production and information analyses in Ile-De-France region. The network is based on a long term partnership between the nephrologists and a regional methodology support unit. It integrates clinical research assistants for data quality control. We also present organizational methods on maintaining the registry and enhancing information analyses and automating analyses reports.


Assuntos
Sistema de Registros , Confiabilidade dos Dados , França , Serviços de Informação
2.
Early Hum Dev ; 90(10): 579-85, 2014 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-25127287

RESUMO

OBJECTIVE: Gross blood in stools is a peculiar entity in preterm infants, but little is known about its etiology. As gut microbiota can be distorted in preterm infants, we aimed to evaluate the gut microbiota in infants with gross blood in stools. STUDY DESIGN: In a prospective, controlled, single-center study, we enrolled all infants born before 34 weeks of gestational age presenting gross blood in stools that was either completely isolated or associated with mild clinical symptoms or radiological signs. Each case was paired with two controls who were hospitalized in the same unit and were matched for gestational age and birth weight. The diversity of the gut microbiota was analyzed using 16S rRNA gene PCR and temporal temperature gel electrophoresis. We calculated a diversity score corresponding to the number of operational taxonomic units present in the microbiota. RESULTS: Thirty-three preterm infants with gross blood in stools were matched with 57 controls. Clinical characteristics were similar in cases and controls. There was no statistically significant difference in the diversity score between the two groups, but microbiota composition differed. The proportion of infants with Escherichia coli was significantly higher in cases than in controls (p=0.045) and the opposite pattern occurred for Staphylococcus sp. (p=0.047). CONCLUSION: Dysbiosis could be a risk factor for gross blood in stools in preterm infants. Additional, larger studies are needed to confirm the implications of the presence of different genotypes of E. coli and to evaluate preventive actions such as the prophylactic use of probiotics and/or prebiotics.


Assuntos
Escherichia coli/genética , Hemorragia Gastrointestinal/microbiologia , Trato Gastrointestinal/microbiologia , Variação Genética , Recém-Nascido Prematuro , Staphylococcus/genética , Estudos de Casos e Controles , Fezes/microbiologia , França , Humanos , Recém-Nascido , Estudos Prospectivos , RNA Ribossômico 16S/genética
3.
Stud Health Technol Inform ; 116: 83-8, 2005.
Artigo em Inglês | MEDLINE | ID: mdl-16160240

RESUMO

Difficulties in reconstituting patients' trajectory in the public health information systems are raised by errors in patients' identification processes. A crucial issue to achieve is avoiding doubles in distributed web databases. We explored Needleman and Wunsch (N&W) algorithm in order to optimize the properties of string matching. Five variants of the N&W algorithm were developed. The algorithms were implemented for a web Multi-Source Information System. This system was dedicated to tracking patients with End-Stage Renal Disease at both regional and national level. A simulated study database of 73,210 records was created. An insertion or suppression of each character of the original string was simulated. The rate of double entries was 2% given an acceptable distance set to 5 modifications. The search was sensitive and specific with an acceptable detection time. It detected up to 10% of modifications that is above the estimated error rate. A variant of the N&W algorithm designed as "cut-off heuristic", proved to be efficient for the search of double entries occurring in nominative distributed databases.


Assuntos
Algoritmos , Redes de Comunicação de Computadores , Bases de Dados Factuais , Humanos
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