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Auteur Vincent YAU |
Documents disponibles écrits par cet auteur (2)



Medical Conditions in the First Years of Life Associated with Future Diagnosis of ASD in Children / Stacey E. ALEXEEFF in Journal of Autism and Developmental Disorders, 47-7 (July 2017)
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[article]
Titre : Medical Conditions in the First Years of Life Associated with Future Diagnosis of ASD in Children Type de document : Texte imprimé et/ou numérique Auteurs : Stacey E. ALEXEEFF, Auteur ; Vincent YAU, Auteur ; Yinge QIAN, Auteur ; Meghan N. DAVIGNON, Auteur ; Frances LYNCH, Auteur ; Phillip M. CRAWFORD, Auteur ; Robert DAVIS, Auteur ; Lisa A. CROEN, Auteur Article en page(s) : p.2067-2079 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder Comorbidity Medical conditions Index. décimale : PER Périodiques Résumé : This study examines medical conditions diagnosed prior to the diagnosis of autism spectrum disorder (ASD). Using a matched case control design with 3911 ASD cases and 38,609 controls, we found that 38 out of 79 medical conditions were associated with increased ASD risk. Developmental delay, mental health, and neurology conditions had the strongest associations (ORs 2.0–23.3). Moderately strong associations were observed for nutrition, genetic, ear nose and throat, and sleep conditions (ORs 2.1–3.2). Using machine learning methods, we clustered children based on their medical conditions prior to ASD diagnosis and demonstrated ASD risk stratification. Our findings provide new evidence indicating that children with ASD have a disproportionate burden of certain medical conditions preceding ASD diagnosis. En ligne : https://doi.org/10.1007/s10803-017-3130-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=313
in Journal of Autism and Developmental Disorders > 47-7 (July 2017) . - p.2067-2079[article] Medical Conditions in the First Years of Life Associated with Future Diagnosis of ASD in Children [Texte imprimé et/ou numérique] / Stacey E. ALEXEEFF, Auteur ; Vincent YAU, Auteur ; Yinge QIAN, Auteur ; Meghan N. DAVIGNON, Auteur ; Frances LYNCH, Auteur ; Phillip M. CRAWFORD, Auteur ; Robert DAVIS, Auteur ; Lisa A. CROEN, Auteur . - p.2067-2079.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 47-7 (July 2017) . - p.2067-2079
Mots-clés : Autism spectrum disorder Comorbidity Medical conditions Index. décimale : PER Périodiques Résumé : This study examines medical conditions diagnosed prior to the diagnosis of autism spectrum disorder (ASD). Using a matched case control design with 3911 ASD cases and 38,609 controls, we found that 38 out of 79 medical conditions were associated with increased ASD risk. Developmental delay, mental health, and neurology conditions had the strongest associations (ORs 2.0–23.3). Moderately strong associations were observed for nutrition, genetic, ear nose and throat, and sleep conditions (ORs 2.1–3.2). Using machine learning methods, we clustered children based on their medical conditions prior to ASD diagnosis and demonstrated ASD risk stratification. Our findings provide new evidence indicating that children with ASD have a disproportionate burden of certain medical conditions preceding ASD diagnosis. En ligne : https://doi.org/10.1007/s10803-017-3130-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=313 Validation of Autism Spectrum Disorder Diagnoses in Large Healthcare Systems with Electronic Medical Records / Karen J. COLEMAN in Journal of Autism and Developmental Disorders, 45-7 (July 2015)
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[article]
Titre : Validation of Autism Spectrum Disorder Diagnoses in Large Healthcare Systems with Electronic Medical Records Type de document : Texte imprimé et/ou numérique Auteurs : Karen J. COLEMAN, Auteur ; Marta A. LUTSKY, Auteur ; Vincent YAU, Auteur ; Yinge QIAN, Auteur ; Magdalena E. POMICHOWSKI, Auteur ; Phillip M. CRAWFORD, Auteur ; Frances L. LYNCH, Auteur ; Jeanne M. MADDEN, Auteur ; Ashli OWEN-SMITH, Auteur ; John A. PEARSON, Auteur ; Kathryn A. PEARSON, Auteur ; Donna RUSINAK, Auteur ; Virginia P. QUINN, Auteur ; Lisa A. CROEN, Auteur Année de publication : 2015 Article en page(s) : p.1989-1996 Langues : Anglais (eng) Mots-clés : Population-based Racial/ethnic minorities Chart review Children Adolescents Index. décimale : PER Périodiques Résumé : To identify factors associated with valid Autism Spectrum Disorder (ASD) diagnoses from electronic sources in large healthcare systems. We examined 1,272 charts from ASD diagnosed youth <18 years old. Expert reviewers classified diagnoses as confirmed, probable, possible, ruled out, or not enough information. A total of 845 were classified with 81 % as a confirmed, probable, or possible ASD diagnosis. The predictors of valid ASD diagnoses were >2 diagnoses in the medical record (OR 2.94; 95 % CI 2.03–4.25; p < 0.001) and being male (OR 1.51; 95 % CI 1.05–2.17; p = 0.03). In large integrated healthcare settings, at least two diagnoses can be used to identify ASD patients for population-based research. En ligne : http://dx.doi.org/10.1007/s10803-015-2358-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=261
in Journal of Autism and Developmental Disorders > 45-7 (July 2015) . - p.1989-1996[article] Validation of Autism Spectrum Disorder Diagnoses in Large Healthcare Systems with Electronic Medical Records [Texte imprimé et/ou numérique] / Karen J. COLEMAN, Auteur ; Marta A. LUTSKY, Auteur ; Vincent YAU, Auteur ; Yinge QIAN, Auteur ; Magdalena E. POMICHOWSKI, Auteur ; Phillip M. CRAWFORD, Auteur ; Frances L. LYNCH, Auteur ; Jeanne M. MADDEN, Auteur ; Ashli OWEN-SMITH, Auteur ; John A. PEARSON, Auteur ; Kathryn A. PEARSON, Auteur ; Donna RUSINAK, Auteur ; Virginia P. QUINN, Auteur ; Lisa A. CROEN, Auteur . - 2015 . - p.1989-1996.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 45-7 (July 2015) . - p.1989-1996
Mots-clés : Population-based Racial/ethnic minorities Chart review Children Adolescents Index. décimale : PER Périodiques Résumé : To identify factors associated with valid Autism Spectrum Disorder (ASD) diagnoses from electronic sources in large healthcare systems. We examined 1,272 charts from ASD diagnosed youth <18 years old. Expert reviewers classified diagnoses as confirmed, probable, possible, ruled out, or not enough information. A total of 845 were classified with 81 % as a confirmed, probable, or possible ASD diagnosis. The predictors of valid ASD diagnoses were >2 diagnoses in the medical record (OR 2.94; 95 % CI 2.03–4.25; p < 0.001) and being male (OR 1.51; 95 % CI 1.05–2.17; p = 0.03). In large integrated healthcare settings, at least two diagnoses can be used to identify ASD patients for population-based research. En ligne : http://dx.doi.org/10.1007/s10803-015-2358-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=261