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Open AccessJournal ArticleDOI

Early diagnosis of autism spectrum disorder: stability and change in clinical diagnosis and symptom presentation

TLDR
Stability was documented for children diagnosed at 19 months on average, although a minority of children initially showed unclear diagnostic presentations, and findings highlight utility of the ADOS-T in making early diagnoses and predicting follow-up diagnoses.
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by impairments in social communication and interaction, and the presence of restricted and repetitive behaviors and interests Although evidence suggests that ASD has genetic causes (O’Roak & State, 2008), diagnosis relies on observations of behavioral manifestations The average age of diagnosis remains well over three (Mandell, Novak, & Zubritsky, 2006), although the American Academy of Pediatrics recommends that all children be screened for ASD much earlier–at 18 and 24 months (Johnson & Myers, 2007) There is a clear need for diagnostic tools and practices for children who screen positive at these young ages However, because diagnosis in toddlers is relatively new, clinicians face a number of important challenges that warrant further research The stability of early diagnoses, the utility of diagnostic tools for toddlers, and patterns of symptom change in the first few years of life are among a number of questions critical to professionals making early diagnoses Stability of Early Clinical Diagnoses of ASD High rates of stability of the broader diagnosis of ASD (rather than specific diagnoses within the spectrum) have been demonstrated in children first diagnosed by age three or older, with estimates ranging from 80 to 100% (see Woolfenden, Sarkozy, Ridley, & Williams, 2012 for a review) However, some estimates for children diagnosed under age three are lower and findings are more variable, ranging from 54 to 100% While 4 of the 11 studies of children diagnosed with Autistic Disorder or ASD under age three reviewed by Woolfenden and colleagues (2011) reported a 100% stability rate, two studies reported rates under 70% (Stone et al, 1999; Turner & Stone, 2007) In addition to being disparate, these findings may not generalize well to the larger population of toddlers with ASD, as they have consisted of high-risk children (ie, those with an older sibling with ASD or who are referred because of parental or professional concern), or included only relatively lower-functioning children Thus, there is a need to examine diagnostic stability in samples screened in the community that yield participants diverse in symptoms and developmental functioning who may not garner parent or professional concern Findings also need to be extended to younger children, because although children are being screened at increasingly younger ages, just two studies of diagnostic stability have included children under age two Encouragingly, both studies reported 100% stability for initial diagnoses of ASD (Chawarska, Klin, Paul, Macari, & Volkmar, 2009; Cox et al, 1999) However, neither study reported on stability of children with unclear diagnostic presentations at these young ages Accuracy of Diagnostic Tools for Young Children Most studies utilize clinical best-estimate diagnoses made by experienced clinicians, a practice that remains the gold standard for diagnosing ASD (Volkmar, Chawarska, & Klin, 2005) However, a standardized observation is crucial to inform clinical diagnosis (Lord & Bishop, 2010) Among the most widely used and validated tools is the Autism Diagnostic Observation Schedule (ADOS; Lord, Rutter, DiLavore, & Risi, 1999) However, it has limited utility with toddlers, as it has unacceptable specificity in children with nonverbal mental ages below 16 months (Gotham, Risi, Pickles, & Lord, 2007) The ADOS – Toddler Module (ADOS-T) was developed to address these limitations (Lord, Luyster, Gotham, & Guthrie, 2012) and demonstrated excellent sensitivity and specificity in the validation study (Luyster et al, 2009) There is a need to examine its utility in other samples as the validation sample included only high-risk children Of additional importance is the predictive validity of the “ranges of concern,” which its authors recommend to index risk for ASD While these concern ranges were shown to be largely consistent with concurrent clinical diagnosis (Luyster et al, 2009), their utility in predicting later diagnosis has yet to be examined Symptom Severity Change in Young Children Another issue critical to the evaluation of toddlers is symptom change within the first years of life, as symptom severity may be more variable than diagnostic status Clinicians may observe significant changes in the frequency and severity of symptoms as the clinical presentation of ASD unfolds, further complicating early diagnosis However, existing evidence is still emerging and findings are relatively inconsistent Improvement of social communication skills, such as joint attention, response to name, and verbal communication, has been reported (Nadig et al, 2007; Sullivan et al, 2007; Yoder, Stone, Walden, & Malesa, 2009), although stability in more global measures of social symptom severity has also been found (Chawarska, Klin, Paul, & Volkmar, 2007) Evidence exists for other trajectories, including plateauing (ie, developmental slowing) or even worsening (ie, loss) of these skills in a subgroup of children (Landa, Holman, & Garrett-Mayer, 2007; Lord, Luyster, Guthrie, & Pickles, 2012; Ozonoff, Heung, Byrd, Hansen, & Hertz-Picciotto, 2008) Greater understanding of changes in symptom severity in toddlers would inform studies of diagnostic stability, as changes in symptoms are likely to accompany movement on or off the autism spectrum, but may also be observed in children with stable diagnostic presentations The purpose of this study was to examine stability of clinical diagnosis and symptom presentation, and the utility of a diagnostic tool in making a clinical diagnosis The study utilized a prospectively-identified community sample that received a diagnostic evaluation at 15–24 months of age and a follow-up evaluation at least one year later The specific research aims were to examine the (1) short-term stability of clinical diagnoses, (2) concurrent and predictive utility of ADOS-T classifications and scores, and (3) short-term change in symptom severity

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Journal ArticleDOI

Overall prognosis of preschool autism spectrum disorder diagnoses

TL;DR: This review aims to synthesise the available evidence on the proportion of individuals who have a diagnosis of autism spectrum disorder at baseline and at follow-up one or more years later and investigate potential sources of heterogeneity that may impact outcomes.
Book ChapterDOI

Early maturation of the social brain: How brain development provides a platform for the acquisition of social-cognitive competence.

TL;DR: This work reviews some technical challenges and advances of using functional magnetic resonance imaging on developing infants and describes current knowledge on the development of diverse systems associated with social function, then explains how these characteristics might differ in infants with genetic or environmental risk factors who are vulnerable to atypical neurodevelopment.
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“I was Confused … and Still am” Barriers Impacting the Help-Seeking Pathway for an Autism Diagnosis in Urban North India: A Mixed Methods Study

TL;DR: In this paper, the authors explored the extent to which the nature of parental concerns and prior knowledge of developmental disorders impact the time between symptom recognition and autism diagnosis, and the contextual family, societal and health-system related factors that impede the autism help-seeking pathway.
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Early Interventionists’ Appraisals of Intervention Strategies for Toddlers with Autism Spectrum Disorder and Their Peers in Inclusive Childcare Classrooms

TL;DR: Survey of early interventionists found 22-of-31 NDBI strategies to be significantly more effective for All Toddlers versus Toddlers with Autism, but when comparing the top 10 rated strategies between groups, there was a large degree of overlap.
Journal ArticleDOI

Maternal and Neonatal Birth Factors Affecting the Age of ASD Diagnosis.

TL;DR: This work could enhance clinical practice for timelier diagnoses of ASD by supporting parents and clinicians around the world in identifying risk factors beyond gender and SES and developing strategies to recognize earlier signs of ASD and contribute to improved development outcomes in children with ASD.
References
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Journal ArticleDOI

Mullen Scales of Early Learning

TL;DR: The Mullen Scales of Early Learning (MSEL) as mentioned in this paper includes five scales that provide information on cognitive and motor ability, including Gross Motor (0-33 months only), Visual Reception, Fine Motor, Expressive Language and Receptive Language.
Journal ArticleDOI

Identification and Evaluation of Children With Autism Spectrum Disorders

TL;DR: This report addresses background information, including definition, history, epidemiology, diagnostic criteria, early signs, neuropathologic aspects, and etiologic possibilities in autism spectrum disorders, and provides an algorithm to help the pediatrician develop a strategy for early identification of children with autism Spectrum disorders.
Journal ArticleDOI

The Autism Diagnostic Observation Schedule: Revised Algorithms for Improved Diagnostic Validity

TL;DR: Reflecting recent research, the revised algorithm now consists of two new domains, Social Affect and Restricted, Repetitive Behaviors, combined to one score to which thresholds are applied, resulting in generally improved predictive value.
Journal ArticleDOI

Autism from 2 to 9 years of age.

TL;DR: D diagnostic stability at age 9 years was very high for autism at age 2 years and less strong for pervasive developmental disorder not otherwise specified and Judgment of experienced clinicians, trained on standard instruments, consistently added to information available from parent interview and standardized observation.
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Trending Questions (1)
Which percentage of children younger than 3 years, with autistic features, develop autism spectrum disorder in older ages?

Approximately 54% to 100% of children under 3 years with autistic features develop Autism Spectrum Disorder in older ages, showing variability in diagnostic stability.