Developmental functioning and medical Co-morbidity profile of children with complex and essential autism / Jaimie FLOR in Autism Research, 10-8 (August 2017)  

Public ISBD [article]  inAutism Research > 10-8 (August 2017) . - p.1344-1352 Titre : Developmental functioning and medical Co-morbidity profile of children with complex and essential autism Type de document : Texte imprimé et/ou numérique Auteurs : Jaimie FLOR, Auteur ; Jayne BELLANDO, Auteur ; Maya LOPEZ, Auteur ; Amy SHUI, Auteur Article en page(s) : p.1344-1352 Langues : Anglais (eng) Mots-clés : autism  developmental  children  microcephaly  dysmorphology  essential autism complex autism Index. décimale : PER Périodiques Résumé : Children with Autism Spectrum Disorders (ASD) may be characterized as “complex” (those with microcephaly and/or dysmorphology) or “essential” (those with neither of these two). Previous studies found subjects in the complex group exhibited lower IQ scores, poorer response to behavioral intervention, more seizures and more abnormal EEGs and brain MRIs compared to the essential group. The objective of this study was to determine if there are differences in complex versus essential subjects based on several developmental/psychological measures as well as certain medical comorbidities. This study utilized data from 1,347 individuals (2–17 years old) well-characterized subjects enrolled in Autism Treatment Network (ATN) Registry. Head circumference measurement and the Autism Dysmorphology Measure (ADM) were used by trained physicians to classify subjects as complex or essential. Significantly lower scores were seen for complex subjects in cognitive level, adaptive behavior and quality of life. Complex subjects showed significantly increased physician-documented GI symptoms and were on a higher number of medications. No significant differences in autism severity scores, behavioral ratings and parent-reported sleep problems were found. After adjusting for multiple comparisons made, adaptive scores remained significantly lower for the complex group, and the complex group used a significantly higher number of medications and had increased GI symptoms. Complex and essential autism subtypes may have distinct developmental and medical correlates and thus underlines the importance of looking for microcephaly and dysmorphology, when evaluating a child with autism. Determining this distinction in autism may have implications in prognosis, identifying medical co-morbidities, directing diagnostic evaluations and treatment interventions. En ligne : http://dx.doi.org/10.1002/aur.1779 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=310 [article] Developmental functioning and medical Co-morbidity profile of children with complex and essential autism [Texte imprimé et/ou numérique] / Jaimie FLOR, Auteur ; Jayne BELLANDO, Auteur ; Maya LOPEZ, Auteur ; Amy SHUI, Auteur . - p.1344-1352. Langues : Anglais (eng) in Autism Research > 10-8 (August 2017) . - p.1344-1352 Mots-clés : autism  developmental  children  microcephaly  dysmorphology  essential autism complex autism Index. décimale : PER Périodiques Résumé : Children with Autism Spectrum Disorders (ASD) may be characterized as “complex” (those with microcephaly and/or dysmorphology) or “essential” (those with neither of these two). Previous studies found subjects in the complex group exhibited lower IQ scores, poorer response to behavioral intervention, more seizures and more abnormal EEGs and brain MRIs compared to the essential group. The objective of this study was to determine if there are differences in complex versus essential subjects based on several developmental/psychological measures as well as certain medical comorbidities. This study utilized data from 1,347 individuals (2–17 years old) well-characterized subjects enrolled in Autism Treatment Network (ATN) Registry. Head circumference measurement and the Autism Dysmorphology Measure (ADM) were used by trained physicians to classify subjects as complex or essential. Significantly lower scores were seen for complex subjects in cognitive level, adaptive behavior and quality of life. Complex subjects showed significantly increased physician-documented GI symptoms and were on a higher number of medications. No significant differences in autism severity scores, behavioral ratings and parent-reported sleep problems were found. After adjusting for multiple comparisons made, adaptive scores remained significantly lower for the complex group, and the complex group used a significantly higher number of medications and had increased GI symptoms. Complex and essential autism subtypes may have distinct developmental and medical correlates and thus underlines the importance of looking for microcephaly and dysmorphology, when evaluating a child with autism. Determining this distinction in autism may have implications in prognosis, identifying medical co-morbidities, directing diagnostic evaluations and treatment interventions. En ligne : http://dx.doi.org/10.1002/aur.1779 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=310

Metabolic Imbalance Associated with Methylation Dysregulation and Oxidative Damage in Children with Autism / Stepan MELNYK in Journal of Autism and Developmental Disorders, 42-3 (March 2012)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 42-3 (March 2012) . - p.367-377 Titre : Metabolic Imbalance Associated with Methylation Dysregulation and Oxidative Damage in Children with Autism Type de document : Texte imprimé et/ou numérique Auteurs : Stepan MELNYK, Auteur ; George J. FUCHS, Auteur ; Eldon SCHULZ, Auteur ; Maya LOPEZ, Auteur ; Stephen G. KAHLER, Auteur ; Jill J. FUSSELL, Auteur ; Jayne BELLANDO, Auteur ; Oleksandra PAVLIV, Auteur ; Shannon ROSE, Auteur ; Lisa SEIDEL, Auteur ; David W. GAYLOR, Auteur ; S. Jill JAMES, Auteur Année de publication : 2012 Article en page(s) : p.367-377 Langues : Anglais (eng) Mots-clés : Autism  Oxidative stress  Metabolic  Epigenetics  Glutathione  DNA methylation Index. décimale : PER Périodiques Résumé : Oxidative stress and abnormal DNA methylation have been implicated in the pathophysiology of autism. We investigated the dynamics of an integrated metabolic pathway essential for cellular antioxidant and methylation capacity in 68 children with autism, 54 age-matched control children and 40 unaffected siblings. The metabolic profile of unaffected siblings differed significantly from case siblings but not from controls. Oxidative protein/DNA damage and DNA hypomethylation (epigenetic alteration) were found in autistic children but not paired siblings or controls. These data indicate that the deficit in antioxidant and methylation capacity is specific for autism and may promote cellular damage and altered epigenetic gene expression. Further, these results suggest a plausible mechanism by which pro-oxidant environmental stressors may modulate genetic predisposition to autism. En ligne : http://dx.doi.org/10.1007/s10803-011-1260-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=152 [article] Metabolic Imbalance Associated with Methylation Dysregulation and Oxidative Damage in Children with Autism [Texte imprimé et/ou numérique] / Stepan MELNYK, Auteur ; George J. FUCHS, Auteur ; Eldon SCHULZ, Auteur ; Maya LOPEZ, Auteur ; Stephen G. KAHLER, Auteur ; Jill J. FUSSELL, Auteur ; Jayne BELLANDO, Auteur ; Oleksandra PAVLIV, Auteur ; Shannon ROSE, Auteur ; Lisa SEIDEL, Auteur ; David W. GAYLOR, Auteur ; S. Jill JAMES, Auteur . - 2012 . - p.367-377. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 42-3 (March 2012) . - p.367-377 Mots-clés : Autism  Oxidative stress  Metabolic  Epigenetics  Glutathione  DNA methylation Index. décimale : PER Périodiques Résumé : Oxidative stress and abnormal DNA methylation have been implicated in the pathophysiology of autism. We investigated the dynamics of an integrated metabolic pathway essential for cellular antioxidant and methylation capacity in 68 children with autism, 54 age-matched control children and 40 unaffected siblings. The metabolic profile of unaffected siblings differed significantly from case siblings but not from controls. Oxidative protein/DNA damage and DNA hypomethylation (epigenetic alteration) were found in autistic children but not paired siblings or controls. These data indicate that the deficit in antioxidant and methylation capacity is specific for autism and may promote cellular damage and altered epigenetic gene expression. Further, these results suggest a plausible mechanism by which pro-oxidant environmental stressors may modulate genetic predisposition to autism. En ligne : http://dx.doi.org/10.1007/s10803-011-1260-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=152

Predicting Health Utilities for Children With Autism Spectrum Disorders / Nalin PAYAKACHAT in Autism Research, 7-6 (December 2014)  

Public ISBD [article]  inAutism Research > 7-6 (December 2014) . - p.649-663 Titre : Predicting Health Utilities for Children With Autism Spectrum Disorders Type de document : Texte imprimé et/ou numérique Auteurs : Nalin PAYAKACHAT, Auteur ; J. Mick TILFORD, Auteur ; Karen A. KUHLTHAU, Auteur ; N. Job VAN EXEL, Auteur ; Erica KOVACS, Auteur ; Jayne BELLANDO, Auteur ; Jeffrey M. PYNE, Auteur ; Werner B. F. BROUWER, Auteur Article en page(s) : p.649-663 Langues : Anglais (eng) Mots-clés : mapping  predictive algorithms  equating measure  autism  health utilities  clinical measure  behavioral measure  quality of life measure Index. décimale : PER Périodiques Résumé : Comparative effectiveness of interventions for children with autism spectrum disorders (ASDs) that incorporates costs is lacking due to the scarcity of information on health utility scores or preference-weighted outcomes typically used for calculating quality-adjusted life years (QALYs). This study created algorithms for mapping clinical and behavioral measures for children with ASDs to health utility scores. The algorithms could be useful for estimating the value of different interventions and treatments used in the care of children with ASDs. Participants were recruited from two Autism Treatment Network sites. Health utility data based on the Health Utilities Index Mark 3 (HUI3) for the child were obtained from the primary caregiver (proxy-reported) through a survey (N?=?224). During the initial clinic visit, proxy-reported measures of the Child Behavior Checklist, Vineland II Adaptive Behavior Scales, and the Pediatric Quality of Life Inventory 4.0 (start measures) were obtained and then merged with the survey data. Nine mapping algorithms were developed using the HUI3 scores as dependent variables in ordinary least squares regressions along with the start measures, the Autism Diagnostic Observation Schedule, to measure severity, child age, and cognitive ability as independent predictors. In-sample cross-validation was conducted to evaluate predictive accuracy. Multiple imputation techniques were used for missing data. The average age for children with ASDs in this study was 8.4 (standard deviation?=?3.5) years. Almost half of the children (47%) had cognitive impairment (IQ???70). Total scores for all of the outcome measures were significantly associated with the HUI3 score. The algorithms can be applied to clinical studies containing start measures of children with ASDs to predict QALYs gained from interventions. En ligne : http://dx.doi.org/10.1002/aur.1409 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=256 [article] Predicting Health Utilities for Children With Autism Spectrum Disorders [Texte imprimé et/ou numérique] / Nalin PAYAKACHAT, Auteur ; J. Mick TILFORD, Auteur ; Karen A. KUHLTHAU, Auteur ; N. Job VAN EXEL, Auteur ; Erica KOVACS, Auteur ; Jayne BELLANDO, Auteur ; Jeffrey M. PYNE, Auteur ; Werner B. F. BROUWER, Auteur . - p.649-663. Langues : Anglais (eng) in Autism Research > 7-6 (December 2014) . - p.649-663 Mots-clés : mapping  predictive algorithms  equating measure  autism  health utilities  clinical measure  behavioral measure  quality of life measure Index. décimale : PER Périodiques Résumé : Comparative effectiveness of interventions for children with autism spectrum disorders (ASDs) that incorporates costs is lacking due to the scarcity of information on health utility scores or preference-weighted outcomes typically used for calculating quality-adjusted life years (QALYs). This study created algorithms for mapping clinical and behavioral measures for children with ASDs to health utility scores. The algorithms could be useful for estimating the value of different interventions and treatments used in the care of children with ASDs. Participants were recruited from two Autism Treatment Network sites. Health utility data based on the Health Utilities Index Mark 3 (HUI3) for the child were obtained from the primary caregiver (proxy-reported) through a survey (N?=?224). During the initial clinic visit, proxy-reported measures of the Child Behavior Checklist, Vineland II Adaptive Behavior Scales, and the Pediatric Quality of Life Inventory 4.0 (start measures) were obtained and then merged with the survey data. Nine mapping algorithms were developed using the HUI3 scores as dependent variables in ordinary least squares regressions along with the start measures, the Autism Diagnostic Observation Schedule, to measure severity, child age, and cognitive ability as independent predictors. In-sample cross-validation was conducted to evaluate predictive accuracy. Multiple imputation techniques were used for missing data. The average age for children with ASDs in this study was 8.4 (standard deviation?=?3.5) years. Almost half of the children (47%) had cognitive impairment (IQ???70). Total scores for all of the outcome measures were significantly associated with the HUI3 score. The algorithms can be applied to clinical studies containing start measures of children with ASDs to predict QALYs gained from interventions. En ligne : http://dx.doi.org/10.1002/aur.1409 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=256

The Autism Impact Measure (AIM): Initial Development of a New Tool for Treatment Outcome Measurement / Stephen M. KANNE in Journal of Autism and Developmental Disorders, 44-1 (January 2014)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 44-1 (January 2014) . - p.168-179 Titre : The Autism Impact Measure (AIM): Initial Development of a New Tool for Treatment Outcome Measurement Type de document : Texte imprimé et/ou numérique Auteurs : Stephen M. KANNE, Auteur ; Micah O. MAZUREK, Auteur ; Darryn SIKORA, Auteur ; Jayne BELLANDO, Auteur ; Lee BRANUM-MARTIN, Auteur ; Benjamin L. HANDEN, Auteur ; Terry KATZ, Auteur ; Brian FREEDMAN, Auteur ; Mary Paige POWELL, Auteur ; Zachary WARREN, Auteur Article en page(s) : p.168-179 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Outcome  Treatment  Symptoms  Impairment Index. décimale : PER Périodiques Résumé : The current study describes the development and psychometric properties of a new measure targeting sensitivity to change of core autism spectrum disorder (ASD) symptoms, the Autism Impact Measure (AIM). The AIM uses a 2-week recall period with items rated on two corresponding 5-point scales (frequency and impact). Psychometric properties were examined using a large sample (n = 440) of children with ASD enrolled in the Autism Treatment Network. The exploratory factor analysis indicated four factors and resulted in a 25-item questionnaire with excellent overall model fit. Test–retest reliability, cross-informant reliability, and convergent validity with other measures of ASD symptoms and overall functioning were strong. The AIM is a reliable and valid measure of frequency and impact of core ASD symptoms. En ligne : http://dx.doi.org/10.1007/s10803-013-1862-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=220 [article] The Autism Impact Measure (AIM): Initial Development of a New Tool for Treatment Outcome Measurement [Texte imprimé et/ou numérique] / Stephen M. KANNE, Auteur ; Micah O. MAZUREK, Auteur ; Darryn SIKORA, Auteur ; Jayne BELLANDO, Auteur ; Lee BRANUM-MARTIN, Auteur ; Benjamin L. HANDEN, Auteur ; Terry KATZ, Auteur ; Brian FREEDMAN, Auteur ; Mary Paige POWELL, Auteur ; Zachary WARREN, Auteur . - p.168-179. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 44-1 (January 2014) . - p.168-179 Mots-clés : Autism spectrum disorder  Outcome  Treatment  Symptoms  Impairment Index. décimale : PER Périodiques Résumé : The current study describes the development and psychometric properties of a new measure targeting sensitivity to change of core autism spectrum disorder (ASD) symptoms, the Autism Impact Measure (AIM). The AIM uses a 2-week recall period with items rated on two corresponding 5-point scales (frequency and impact). Psychometric properties were examined using a large sample (n = 440) of children with ASD enrolled in the Autism Treatment Network. The exploratory factor analysis indicated four factors and resulted in a 25-item questionnaire with excellent overall model fit. Test–retest reliability, cross-informant reliability, and convergent validity with other measures of ASD symptoms and overall functioning were strong. The AIM is a reliable and valid measure of frequency and impact of core ASD symptoms. En ligne : http://dx.doi.org/10.1007/s10803-013-1862-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=220

Treatment for Sleep Problems in Children with Autism and Caregiver Spillover Effects / J. Mick TILFORD in Journal of Autism and Developmental Disorders, 45-11 (November 2015)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 45-11 (November 2015) . - p.3613-3623 Titre : Treatment for Sleep Problems in Children with Autism and Caregiver Spillover Effects Type de document : Texte imprimé et/ou numérique Auteurs : J. Mick TILFORD, Auteur ; Nalin PAYAKACHAT, Auteur ; Karen A. KUHLTHAU, Auteur ; Jeffrey M. PYNE, Auteur ; Erica KOVACS, Auteur ; Jayne BELLANDO, Auteur ; D. Keith WILLIAMS, Auteur ; Werner B. F. BROUWER, Auteur ; Richard E. FRYE, Auteur Article en page(s) : p.3613-3623 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Child health  Caregiver health  Child sleep habits  Quality adjusted life year  Cost-effectiveness analysis Index. décimale : PER Périodiques Résumé : Sleep problems in children with autism spectrum disorders (ASD) are under-recognized and under-treated. Identifying treatment value accounting for health effects on family members (spillovers) could improve the perceived cost-effectiveness of interventions to improve child sleep habits. A prospective cohort study (N = 224) was conducted with registry and postal survey data completed by the primary caregiver. We calculated quality of life outcomes for the child and the primary caregiver associated with treatments to improve sleep in the child based on prior clinical trials. Predicted treatment effects for melatonin and behavioral interventions were similar in magnitude for the child and for the caregiver. Accounting for caregiver spillover effects associated with treatments for the child with ASD increases treatment benefits and improves cost-effectiveness profiles. En ligne : http://dx.doi.org/10.1007/s10803-015-2507-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=270 [article] Treatment for Sleep Problems in Children with Autism and Caregiver Spillover Effects [Texte imprimé et/ou numérique] / J. Mick TILFORD, Auteur ; Nalin PAYAKACHAT, Auteur ; Karen A. KUHLTHAU, Auteur ; Jeffrey M. PYNE, Auteur ; Erica KOVACS, Auteur ; Jayne BELLANDO, Auteur ; D. Keith WILLIAMS, Auteur ; Werner B. F. BROUWER, Auteur ; Richard E. FRYE, Auteur . - p.3613-3623. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 45-11 (November 2015) . - p.3613-3623 Mots-clés : Autism spectrum disorder  Child health  Caregiver health  Child sleep habits  Quality adjusted life year  Cost-effectiveness analysis Index. décimale : PER Périodiques Résumé : Sleep problems in children with autism spectrum disorders (ASD) are under-recognized and under-treated. Identifying treatment value accounting for health effects on family members (spillovers) could improve the perceived cost-effectiveness of interventions to improve child sleep habits. A prospective cohort study (N = 224) was conducted with registry and postal survey data completed by the primary caregiver. We calculated quality of life outcomes for the child and the primary caregiver associated with treatments to improve sleep in the child based on prior clinical trials. Predicted treatment effects for melatonin and behavioral interventions were similar in magnitude for the child and for the caregiver. Accounting for caregiver spillover effects associated with treatments for the child with ASD increases treatment benefits and improves cost-effectiveness profiles. En ligne : http://dx.doi.org/10.1007/s10803-015-2507-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=270

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