4 recherche sur le mot-clé 'Gestational Age'

Gestational Age and Autism Spectrum Disorder: Trends in Risk Over Time / Hjördis Osk ATLADOTTIR in Autism Research, 9-2 (February 2016)  

Public ISBD [article]  inAutism Research > 9-2 (February 2016) . - p.224-231 Titre : Gestational Age and Autism Spectrum Disorder: Trends in Risk Over Time Type de document : texte imprimé Auteurs : Hjördis Osk ATLADOTTIR, Auteur ; Diana SCHENDEL, Auteur ; T.B. HENRIKSEN, Auteur ; L. HJORT, Auteur ; Erik T. PARNER, Auteur Article en page(s) : p.224-231 Langues : Anglais (eng) Mots-clés : autism spectrum disorder  autism  gestational age  preterm birth  time trend Index. décimale : PER Périodiques Résumé : Autism Spectrum Disorder (ASD) is a serious neurodevelopmental disorder. Several previous studies have identified preterm birth as a risk factor for ASD but none has studied whether the association between gestational age and ASD has changed over time. This is a Danish population-based follow-up study including live-born singletons born in Denmark between 1980 and 2009, identified in the Danish Medical Birth Registry, a study population of 1,775,397 children. We used a Cox regression model combined with spline to study the risk for ASD by gestational age across three decades of birth cohorts. We included 19,020 children diagnosed with ASD. Across all birth year cohorts, we found that the risk of being diagnosed with ASD increased with lower gestational age (P-value: <0.01). Across all gestational weeks, we found a statistically significant higher risk estimates in birth cohort 1980 to 1989, compared to birth cohorts 1990 to 1999 and 2000 to 2009, respectively. No statistically significant difference in risk estimates was observed between birth cohort 1990 to 1999 and 2000 to 2009. The observed time trend in risk of ASD after preterm birth may reflect: (1) a change in the risk profile of persons with ASD due to the broadening of ASD diagnostic criteria over time; or (2) improved neonatal care for low GA infants, which has reduced risk of adverse outcomes like ASD in preterm children. En ligne : http://dx.doi.org/10.1002/aur.1525 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=282 [article] Gestational Age and Autism Spectrum Disorder: Trends in Risk Over Time [texte imprimé] / Hjördis Osk ATLADOTTIR, Auteur ; Diana SCHENDEL, Auteur ; T.B. HENRIKSEN, Auteur ; L. HJORT, Auteur ; Erik T. PARNER, Auteur . - p.224-231. Langues : Anglais (eng) in Autism Research > 9-2 (February 2016) . - p.224-231 Mots-clés : autism spectrum disorder  autism  gestational age  preterm birth  time trend Index. décimale : PER Périodiques Résumé : Autism Spectrum Disorder (ASD) is a serious neurodevelopmental disorder. Several previous studies have identified preterm birth as a risk factor for ASD but none has studied whether the association between gestational age and ASD has changed over time. This is a Danish population-based follow-up study including live-born singletons born in Denmark between 1980 and 2009, identified in the Danish Medical Birth Registry, a study population of 1,775,397 children. We used a Cox regression model combined with spline to study the risk for ASD by gestational age across three decades of birth cohorts. We included 19,020 children diagnosed with ASD. Across all birth year cohorts, we found that the risk of being diagnosed with ASD increased with lower gestational age (P-value: <0.01). Across all gestational weeks, we found a statistically significant higher risk estimates in birth cohort 1980 to 1989, compared to birth cohorts 1990 to 1999 and 2000 to 2009, respectively. No statistically significant difference in risk estimates was observed between birth cohort 1990 to 1999 and 2000 to 2009. The observed time trend in risk of ASD after preterm birth may reflect: (1) a change in the risk profile of persons with ASD due to the broadening of ASD diagnostic criteria over time; or (2) improved neonatal care for low GA infants, which has reduced risk of adverse outcomes like ASD in preterm children. En ligne : http://dx.doi.org/10.1002/aur.1525 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=282

An atlas of genetic correlations between gestational age and common psychiatric disorders / Yao YAO in Autism Research, 15-6 (June 2022)  

Public ISBD [article]  inAutism Research > 15-6 (June 2022) . - p.1008-1017 Titre : An atlas of genetic correlations between gestational age and common psychiatric disorders Type de document : texte imprimé Auteurs : Yao YAO, Auteur ; Chun'e LI, Auteur ; Peilin MENG, Auteur ; Bolun CHENG, Auteur ; Shiqiang CHENG, Auteur ; Li LIU, Auteur ; Xuena YANG, Auteur ; Yumeng JIA, Auteur ; Yan WEN, Auteur ; Feng ZHANG, Auteur Article en page(s) : p.1008-1017 Langues : Anglais (eng) Mots-clés : Attention Deficit Disorder with Hyperactivity/genetics  Autism Spectrum Disorder/genetics  Depressive Disorder, Major/genetics  Female  Genetic Predisposition to Disease  Genome-Wide Association Study  Gestational Age  Humans  Infant, Newborn  Mendelian Randomization Analysis  Premature Birth/genetics  Proteomics  genetic correlation  linkage disequilibrium score regression  psychiatric disorders Index. décimale : PER Périodiques Résumé : We aim to systematically explore the potential genetic correlations between five major psychiatric disorders and gestational ages. Genome-wide association study (GWAS) summary datasets of attention deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), schizophrenia (SCZ) and major depressive disorder (MDD) in discovery were downloaded from the Psychiatric GWAS Consortium (PGC) website. Suggestive (Raw p?< 0.05) genetic associations in the discovery phrase were further replicated in independent GWASs which downloaded from PGC, the FinnGen study or Integrative Psychiatric Research (iPSYCH) website. GWASs of gestational duration, preterm and post-term birth were derived from previous studies of infants from the Early Growth Genetics (EGG) Consortium, the iPSYCH study, and the Genomic and Proteomic Network for Preterm Birth Research (GPN). We calculated genetic correlations using linkage disequilibrium score (LDSC) regression. Mendelian randomization (MR) analyses were performed to investigate the causal effects. We identified four suggestive genetic correlations between psychiatric disorders and gestational age factors in discovery LDSC and two replicated in a confirmation LDSC: gestational duration and ADHD (r(g) = -0.1405, FDR p = 0.0406), post-term birth and SCZ (r(g) = -0.2003, FDR p = 0.0042). We also observed causal effect of post-term birth on SCZ by MR (P(Weighted median) = 0.037, P(Inverse variance weighted) = 0.007). Our analysis suggested no significant evidence of horizontal pleiotropy and heterogeneity. This study showed the genetic correlation evidences between gestational age phenotypes and psychiatric disorders, providing novel clues for understanding the pathogenic factors of common psychiatric disorders. LAY SUMMARY: Whereas gestational age factors were reported to be associated with psychiatric disorders, the genetic relationship and causality remain to be revealed. The present study reported the first large-scale genetic correlations investigation of the associations between gestational age phenotypes and psychiatric disorders. Results indicate causal relationships between post-term birth and schizophrenia (SCZ), as well as suggestive genetic correlations between gestational duration and attention deficit/hyperactivity disorder (ADHD). This study provided novel clues for understanding the pathogenic factors of common psychiatric disorders. En ligne : http://dx.doi.org/10.1002/aur.2719 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=476 [article] An atlas of genetic correlations between gestational age and common psychiatric disorders [texte imprimé] / Yao YAO, Auteur ; Chun'e LI, Auteur ; Peilin MENG, Auteur ; Bolun CHENG, Auteur ; Shiqiang CHENG, Auteur ; Li LIU, Auteur ; Xuena YANG, Auteur ; Yumeng JIA, Auteur ; Yan WEN, Auteur ; Feng ZHANG, Auteur . - p.1008-1017. Langues : Anglais (eng) in Autism Research > 15-6 (June 2022) . - p.1008-1017 Mots-clés : Attention Deficit Disorder with Hyperactivity/genetics  Autism Spectrum Disorder/genetics  Depressive Disorder, Major/genetics  Female  Genetic Predisposition to Disease  Genome-Wide Association Study  Gestational Age  Humans  Infant, Newborn  Mendelian Randomization Analysis  Premature Birth/genetics  Proteomics  genetic correlation  linkage disequilibrium score regression  psychiatric disorders Index. décimale : PER Périodiques Résumé : We aim to systematically explore the potential genetic correlations between five major psychiatric disorders and gestational ages. Genome-wide association study (GWAS) summary datasets of attention deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), schizophrenia (SCZ) and major depressive disorder (MDD) in discovery were downloaded from the Psychiatric GWAS Consortium (PGC) website. Suggestive (Raw p?< 0.05) genetic associations in the discovery phrase were further replicated in independent GWASs which downloaded from PGC, the FinnGen study or Integrative Psychiatric Research (iPSYCH) website. GWASs of gestational duration, preterm and post-term birth were derived from previous studies of infants from the Early Growth Genetics (EGG) Consortium, the iPSYCH study, and the Genomic and Proteomic Network for Preterm Birth Research (GPN). We calculated genetic correlations using linkage disequilibrium score (LDSC) regression. Mendelian randomization (MR) analyses were performed to investigate the causal effects. We identified four suggestive genetic correlations between psychiatric disorders and gestational age factors in discovery LDSC and two replicated in a confirmation LDSC: gestational duration and ADHD (r(g) = -0.1405, FDR p = 0.0406), post-term birth and SCZ (r(g) = -0.2003, FDR p = 0.0042). We also observed causal effect of post-term birth on SCZ by MR (P(Weighted median) = 0.037, P(Inverse variance weighted) = 0.007). Our analysis suggested no significant evidence of horizontal pleiotropy and heterogeneity. This study showed the genetic correlation evidences between gestational age phenotypes and psychiatric disorders, providing novel clues for understanding the pathogenic factors of common psychiatric disorders. LAY SUMMARY: Whereas gestational age factors were reported to be associated with psychiatric disorders, the genetic relationship and causality remain to be revealed. The present study reported the first large-scale genetic correlations investigation of the associations between gestational age phenotypes and psychiatric disorders. Results indicate causal relationships between post-term birth and schizophrenia (SCZ), as well as suggestive genetic correlations between gestational duration and attention deficit/hyperactivity disorder (ADHD). This study provided novel clues for understanding the pathogenic factors of common psychiatric disorders. En ligne : http://dx.doi.org/10.1002/aur.2719 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=476

Development of a risk calculator to predict attention-deficit/hyperactivity disorder in very preterm/very low birth weight newborns / Adelar Pedro FRANZ in Journal of Child Psychology and Psychiatry, 63-8 (August 2022)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 63-8 (August 2022) . - p.929-938 Titre : Development of a risk calculator to predict attention-deficit/hyperactivity disorder in very preterm/very low birth weight newborns Type de document : texte imprimé Auteurs : Adelar Pedro FRANZ, Auteur ; Arthur CAYE, Auteur ; Barbara Calil LACERDA, Auteur ; Flavia WAGNER, Auteur ; Rita C. SILVEIRA, Auteur ; Renato Soibelmann PROCIANOY, Auteur ; Carlos Renato MOREIRA-MAIA, Auteur ; Luis Augusto ROHDE, Auteur Article en page(s) : p.929-938 Langues : Anglais (eng) Mots-clés : Attention Deficit Disorder with Hyperactivity/diagnosis/epidemiology  Child  Gestational Age  Humans  Infant  Infant, Extremely Premature  Infant, Newborn  Infant, Very Low Birth Weight/psychology  Retrospective Studies  Prematurity  attention-deficit/hyperactivity disorder  low birth weight  prediction Index. décimale : PER Périodiques Résumé : BACKGROUND: Very preterm/very low birth weight (VP/VLBW) newborns can have lifelong morbidities, as attention-deficit/hyperactivity disorder (ADHD). Clinicians have no markers to discriminate which among those individuals will develop later ADHD, based only on the clinical presentation at birth. Our aim was to develop an individualized risk calculator for ADHD in VP/VLBW newborns. METHODS: This retrospective prognostic study included a consecutive sample of all VP/VLBW children (gestational age<32weeks and/or birth weight<1.5kg) born between 2010 and 2012 from a clinical cohort in a Brazilian tertiary care hospital. Children were clinically assessed at 6years of age for ADHD using the Schedule for Affective Disorders and Schizophrenia for School-Age Children (K-SADS). The least absolute shrinkage and selection operator (LASSO) method was used for model-building. RESULTS: Ninety-six VP/VLBW children were assessed at 6years of age (92% follow-up), of whom 32 (33%) were diagnosed with ADHD. The area under the ROC curve (AUC) for ADHD prediction based on seven parameters (late-onset sepsis confirmed by blood culture, necrotizing enterocolitis, neonatal seizures, periventricular leukomalacia, respiratory distress syndrome, length of hospital stay, and number of maternal ADHD symptoms) was .875 (CI, 0.800-0.942, p<.001; AUC corrected for optimism with bootstrapping: .806), a performance that is comparable to other medical risk calculators. Compared to approaches that would offer early intervention to all, or intervention to none, the risk calculator will be more useful in selecting VP/VLBW newborns, with statistically significant net benefits at cost:benefits of around 1:2 to around 10:6 (range of ADHD risk thresholds of 32%-62%, respectively). It also showed specificity for ADHD compared to other prevalent child psychopathologies. CONCLUSIONS: The risk calculator showed good performance for early identification of VP/VLBW newborns at high risk of future ADHD diagnosis. External validity in population-based samples is needed to extend clinical usefulness. En ligne : http://dx.doi.org/10.1111/jcpp.13546 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=486 [article] Development of a risk calculator to predict attention-deficit/hyperactivity disorder in very preterm/very low birth weight newborns [texte imprimé] / Adelar Pedro FRANZ, Auteur ; Arthur CAYE, Auteur ; Barbara Calil LACERDA, Auteur ; Flavia WAGNER, Auteur ; Rita C. SILVEIRA, Auteur ; Renato Soibelmann PROCIANOY, Auteur ; Carlos Renato MOREIRA-MAIA, Auteur ; Luis Augusto ROHDE, Auteur . - p.929-938. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 63-8 (August 2022) . - p.929-938 Mots-clés : Attention Deficit Disorder with Hyperactivity/diagnosis/epidemiology  Child  Gestational Age  Humans  Infant  Infant, Extremely Premature  Infant, Newborn  Infant, Very Low Birth Weight/psychology  Retrospective Studies  Prematurity  attention-deficit/hyperactivity disorder  low birth weight  prediction Index. décimale : PER Périodiques Résumé : BACKGROUND: Very preterm/very low birth weight (VP/VLBW) newborns can have lifelong morbidities, as attention-deficit/hyperactivity disorder (ADHD). Clinicians have no markers to discriminate which among those individuals will develop later ADHD, based only on the clinical presentation at birth. Our aim was to develop an individualized risk calculator for ADHD in VP/VLBW newborns. METHODS: This retrospective prognostic study included a consecutive sample of all VP/VLBW children (gestational age<32weeks and/or birth weight<1.5kg) born between 2010 and 2012 from a clinical cohort in a Brazilian tertiary care hospital. Children were clinically assessed at 6years of age for ADHD using the Schedule for Affective Disorders and Schizophrenia for School-Age Children (K-SADS). The least absolute shrinkage and selection operator (LASSO) method was used for model-building. RESULTS: Ninety-six VP/VLBW children were assessed at 6years of age (92% follow-up), of whom 32 (33%) were diagnosed with ADHD. The area under the ROC curve (AUC) for ADHD prediction based on seven parameters (late-onset sepsis confirmed by blood culture, necrotizing enterocolitis, neonatal seizures, periventricular leukomalacia, respiratory distress syndrome, length of hospital stay, and number of maternal ADHD symptoms) was .875 (CI, 0.800-0.942, p<.001; AUC corrected for optimism with bootstrapping: .806), a performance that is comparable to other medical risk calculators. Compared to approaches that would offer early intervention to all, or intervention to none, the risk calculator will be more useful in selecting VP/VLBW newborns, with statistically significant net benefits at cost:benefits of around 1:2 to around 10:6 (range of ADHD risk thresholds of 32%-62%, respectively). It also showed specificity for ADHD compared to other prevalent child psychopathologies. CONCLUSIONS: The risk calculator showed good performance for early identification of VP/VLBW newborns at high risk of future ADHD diagnosis. External validity in population-based samples is needed to extend clinical usefulness. En ligne : http://dx.doi.org/10.1111/jcpp.13546 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=486

Fetal brain growth and infant autistic traits / Ezra AYDIN in Molecular Autism, 15 (2024)  

Public ISBD [article]  inMolecular Autism > 15 (2024) . - 11p. Titre : Fetal brain growth and infant autistic traits Type de document : texte imprimé Auteurs : Ezra AYDIN, Auteur ; Alex TSOMPANIDIS, Auteur ; Daren CHAPLIN, Auteur ; Rebecca HAWKES, Auteur ; Carrie ALLISON, Auteur ; Gerald HACKETT, Auteur ; Topun AUSTIN, Auteur ; EglÄ— PADAIGAITÄ–, Auteur ; Lidia V. GABIS, Auteur ; John SUCKING, Auteur ; Rosemary J. HOLT, Auteur ; Simon BARON-COHEN, Auteur Article en page(s) : 11p. Langues : Anglais (eng) Mots-clés : Male  Infant  Pregnancy  Female  Humans  Autistic Disorder/diagnostic imaging  Brain/diagnostic imaging  Gestational Age  Autistic traits  Early brain development  Q-chat  Transcerebellar diameter  Ultrasound Index. décimale : PER Périodiques Résumé : BACKGROUND: Structural differences exist in the brains of autistic individuals. To date only a few studies have explored the relationship between fetal brain growth and later infant autistic traits, and some have used fetal head circumference (HC) as a proxy for brain development. These findings have been inconsistent. Here we investigate whether fetal subregional brain measurements correlate with autistic traits in toddlers. METHODS: A total of 219 singleton pregnancies (104 males and 115 females) were recruited at the Rosie Hospital, Cambridge, UK. 2D ultrasound was performed at 12-, 20- and between 26 and 30 weeks of pregnancy, measuring head circumference (HC), ventricular atrium (VA) and transcerebellar diameter (TCD). A total of 179 infants were followed up at 18-20 months of age and completed the quantitative checklist for autism in toddlers (Q-CHAT) to measure autistic traits. RESULTS: Q-CHAT scores at 18-20 months of age were positively associated with TCD size at 20 weeks and with HC at 28 weeks, in univariate analyses, and in multiple regression models which controlled for sex, maternal age and birth weight. LIMITATIONS: Due to the nature and location of the study, ascertainment bias could also have contributed to the recruitment of volunteer mothers with a higher than typical range of autistic traits and/or with a significant interest in the neurodevelopment of their children. CONCLUSION: Prenatal brain growth is associated with toddler autistic traits and this can be ascertained via ultrasound starting at 20 weeks gestation. En ligne : https://dx.doi.org/10.1186/s13229-024-00586-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538 [article] Fetal brain growth and infant autistic traits [texte imprimé] / Ezra AYDIN, Auteur ; Alex TSOMPANIDIS, Auteur ; Daren CHAPLIN, Auteur ; Rebecca HAWKES, Auteur ; Carrie ALLISON, Auteur ; Gerald HACKETT, Auteur ; Topun AUSTIN, Auteur ; EglÄ— PADAIGAITÄ–, Auteur ; Lidia V. GABIS, Auteur ; John SUCKING, Auteur ; Rosemary J. HOLT, Auteur ; Simon BARON-COHEN, Auteur . - 11p. Langues : Anglais (eng) in Molecular Autism > 15 (2024) . - 11p. Mots-clés : Male  Infant  Pregnancy  Female  Humans  Autistic Disorder/diagnostic imaging  Brain/diagnostic imaging  Gestational Age  Autistic traits  Early brain development  Q-chat  Transcerebellar diameter  Ultrasound Index. décimale : PER Périodiques Résumé : BACKGROUND: Structural differences exist in the brains of autistic individuals. To date only a few studies have explored the relationship between fetal brain growth and later infant autistic traits, and some have used fetal head circumference (HC) as a proxy for brain development. These findings have been inconsistent. Here we investigate whether fetal subregional brain measurements correlate with autistic traits in toddlers. METHODS: A total of 219 singleton pregnancies (104 males and 115 females) were recruited at the Rosie Hospital, Cambridge, UK. 2D ultrasound was performed at 12-, 20- and between 26 and 30 weeks of pregnancy, measuring head circumference (HC), ventricular atrium (VA) and transcerebellar diameter (TCD). A total of 179 infants were followed up at 18-20 months of age and completed the quantitative checklist for autism in toddlers (Q-CHAT) to measure autistic traits. RESULTS: Q-CHAT scores at 18-20 months of age were positively associated with TCD size at 20 weeks and with HC at 28 weeks, in univariate analyses, and in multiple regression models which controlled for sex, maternal age and birth weight. LIMITATIONS: Due to the nature and location of the study, ascertainment bias could also have contributed to the recruitment of volunteer mothers with a higher than typical range of autistic traits and/or with a significant interest in the neurodevelopment of their children. CONCLUSION: Prenatal brain growth is associated with toddler autistic traits and this can be ascertained via ultrasound starting at 20 weeks gestation. En ligne : https://dx.doi.org/10.1186/s13229-024-00586-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538