Probability of an Autism Diagnosis by Gestational Age

Ashley Darcy-Mahoney, Bonnie Minter, Melinda Higgins, Ying Guo, Bryan L Williams, Lauren M. Head Zauche, Katie Birth

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Early preterm infants (EPT) (<33 6/7 weeks) are at increased risk for autism spectrum disorders (ASDs) but prevalence estimates vary widely across studies. Furthermore, there are very few studies addressing the association between late preterm (LPT) births (34–36 6/7 weeks) and ASDs. To address the question of whether LPT infants carry the same risk for ASDs as full-term infants, this study aimed to estimate the relative probability of an ASD diagnosis using Bayes rule. A retrospective cohort analysis of 406 children was undertaken to look at gestational age, ASDs, and birth history. The application of Bayes rule was used, given that there is not sufficient information about the joint probabilities related to prematurity and autism. Using the estimated gestational age proportions within ASD diagnosis, plus national estimates of ASDs, probabilities for ASDs within a given gestational age were calculated. Among these 406 children with ASDs, 6.7% were EPT and 10.6% were LPT. In comparison to full term, EPT children are at 1.9 multiplicative increase in risk (95% CI [1.3, 2.5]). While the probability of ASDs for LPT children was higher than that for term, the estimated relative risk of the LPT infants was not statistically significant (95% CI [0.9, 1.5]). EPT infants were significantly more likely to be diagnosed with ASDs compared to their term peers. While the relative probability of ASD diagnosis among children born LPT was not statistically significant in this limited sample, the results indicate a possible elevated risk. A larger cohort is needed to adequately estimate this risk.

Original languageEnglish (US)
Pages (from-to)322-326
Number of pages5
JournalNewborn and Infant Nursing Reviews
Volume16
Issue number4
DOIs
StatePublished - Dec 1 2016
Externally publishedYes

Fingerprint

Autistic Disorder
Gestational Age
Premature Infants
Autism Spectrum Disorder
Reproductive History
Premature Birth
Cohort Studies

Keywords

  • Autism spectrum disorders
  • Bayes rule
  • Gestational age

ASJC Scopus subject areas

  • Pediatrics

Cite this

Darcy-Mahoney, A., Minter, B., Higgins, M., Guo, Y., Williams, B. L., Head Zauche, L. M., & Birth, K. (2016). Probability of an Autism Diagnosis by Gestational Age. Newborn and Infant Nursing Reviews, 16(4), 322-326. https://doi.org/10.1053/j.nainr.2016.09.019

Probability of an Autism Diagnosis by Gestational Age. / Darcy-Mahoney, Ashley; Minter, Bonnie; Higgins, Melinda; Guo, Ying; Williams, Bryan L; Head Zauche, Lauren M.; Birth, Katie.

In: Newborn and Infant Nursing Reviews, Vol. 16, No. 4, 01.12.2016, p. 322-326.

Research output: Contribution to journalArticle

Darcy-Mahoney, A, Minter, B, Higgins, M, Guo, Y, Williams, BL, Head Zauche, LM & Birth, K 2016, 'Probability of an Autism Diagnosis by Gestational Age', Newborn and Infant Nursing Reviews, vol. 16, no. 4, pp. 322-326. https://doi.org/10.1053/j.nainr.2016.09.019
Darcy-Mahoney A, Minter B, Higgins M, Guo Y, Williams BL, Head Zauche LM et al. Probability of an Autism Diagnosis by Gestational Age. Newborn and Infant Nursing Reviews. 2016 Dec 1;16(4):322-326. https://doi.org/10.1053/j.nainr.2016.09.019
Darcy-Mahoney, Ashley ; Minter, Bonnie ; Higgins, Melinda ; Guo, Ying ; Williams, Bryan L ; Head Zauche, Lauren M. ; Birth, Katie. / Probability of an Autism Diagnosis by Gestational Age. In: Newborn and Infant Nursing Reviews. 2016 ; Vol. 16, No. 4. pp. 322-326.
@article{cda5da66a4d4472c906dd05b14289e38,
title = "Probability of an Autism Diagnosis by Gestational Age",
abstract = "Early preterm infants (EPT) (<33 6/7 weeks) are at increased risk for autism spectrum disorders (ASDs) but prevalence estimates vary widely across studies. Furthermore, there are very few studies addressing the association between late preterm (LPT) births (34–36 6/7 weeks) and ASDs. To address the question of whether LPT infants carry the same risk for ASDs as full-term infants, this study aimed to estimate the relative probability of an ASD diagnosis using Bayes rule. A retrospective cohort analysis of 406 children was undertaken to look at gestational age, ASDs, and birth history. The application of Bayes rule was used, given that there is not sufficient information about the joint probabilities related to prematurity and autism. Using the estimated gestational age proportions within ASD diagnosis, plus national estimates of ASDs, probabilities for ASDs within a given gestational age were calculated. Among these 406 children with ASDs, 6.7{\%} were EPT and 10.6{\%} were LPT. In comparison to full term, EPT children are at 1.9 multiplicative increase in risk (95{\%} CI [1.3, 2.5]). While the probability of ASDs for LPT children was higher than that for term, the estimated relative risk of the LPT infants was not statistically significant (95{\%} CI [0.9, 1.5]). EPT infants were significantly more likely to be diagnosed with ASDs compared to their term peers. While the relative probability of ASD diagnosis among children born LPT was not statistically significant in this limited sample, the results indicate a possible elevated risk. A larger cohort is needed to adequately estimate this risk.",
keywords = "Autism spectrum disorders, Bayes rule, Gestational age",
author = "Ashley Darcy-Mahoney and Bonnie Minter and Melinda Higgins and Ying Guo and Williams, {Bryan L} and {Head Zauche}, {Lauren M.} and Katie Birth",
year = "2016",
month = "12",
day = "1",
doi = "10.1053/j.nainr.2016.09.019",
language = "English (US)",
volume = "16",
pages = "322--326",
journal = "Newborn and Infant Nursing Reviews",
issn = "1527-3369",
publisher = "W.B. Saunders Ltd",
number = "4",

}

TY - JOUR

T1 - Probability of an Autism Diagnosis by Gestational Age

AU - Darcy-Mahoney, Ashley

AU - Minter, Bonnie

AU - Higgins, Melinda

AU - Guo, Ying

AU - Williams, Bryan L

AU - Head Zauche, Lauren M.

AU - Birth, Katie

PY - 2016/12/1

Y1 - 2016/12/1

N2 - Early preterm infants (EPT) (<33 6/7 weeks) are at increased risk for autism spectrum disorders (ASDs) but prevalence estimates vary widely across studies. Furthermore, there are very few studies addressing the association between late preterm (LPT) births (34–36 6/7 weeks) and ASDs. To address the question of whether LPT infants carry the same risk for ASDs as full-term infants, this study aimed to estimate the relative probability of an ASD diagnosis using Bayes rule. A retrospective cohort analysis of 406 children was undertaken to look at gestational age, ASDs, and birth history. The application of Bayes rule was used, given that there is not sufficient information about the joint probabilities related to prematurity and autism. Using the estimated gestational age proportions within ASD diagnosis, plus national estimates of ASDs, probabilities for ASDs within a given gestational age were calculated. Among these 406 children with ASDs, 6.7% were EPT and 10.6% were LPT. In comparison to full term, EPT children are at 1.9 multiplicative increase in risk (95% CI [1.3, 2.5]). While the probability of ASDs for LPT children was higher than that for term, the estimated relative risk of the LPT infants was not statistically significant (95% CI [0.9, 1.5]). EPT infants were significantly more likely to be diagnosed with ASDs compared to their term peers. While the relative probability of ASD diagnosis among children born LPT was not statistically significant in this limited sample, the results indicate a possible elevated risk. A larger cohort is needed to adequately estimate this risk.

AB - Early preterm infants (EPT) (<33 6/7 weeks) are at increased risk for autism spectrum disorders (ASDs) but prevalence estimates vary widely across studies. Furthermore, there are very few studies addressing the association between late preterm (LPT) births (34–36 6/7 weeks) and ASDs. To address the question of whether LPT infants carry the same risk for ASDs as full-term infants, this study aimed to estimate the relative probability of an ASD diagnosis using Bayes rule. A retrospective cohort analysis of 406 children was undertaken to look at gestational age, ASDs, and birth history. The application of Bayes rule was used, given that there is not sufficient information about the joint probabilities related to prematurity and autism. Using the estimated gestational age proportions within ASD diagnosis, plus national estimates of ASDs, probabilities for ASDs within a given gestational age were calculated. Among these 406 children with ASDs, 6.7% were EPT and 10.6% were LPT. In comparison to full term, EPT children are at 1.9 multiplicative increase in risk (95% CI [1.3, 2.5]). While the probability of ASDs for LPT children was higher than that for term, the estimated relative risk of the LPT infants was not statistically significant (95% CI [0.9, 1.5]). EPT infants were significantly more likely to be diagnosed with ASDs compared to their term peers. While the relative probability of ASD diagnosis among children born LPT was not statistically significant in this limited sample, the results indicate a possible elevated risk. A larger cohort is needed to adequately estimate this risk.

KW - Autism spectrum disorders

KW - Bayes rule

KW - Gestational age

UR - http://www.scopus.com/inward/record.url?scp=84992215203&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84992215203&partnerID=8YFLogxK

U2 - 10.1053/j.nainr.2016.09.019

DO - 10.1053/j.nainr.2016.09.019

M3 - Article

AN - SCOPUS:84992215203

VL - 16

SP - 322

EP - 326

JO - Newborn and Infant Nursing Reviews

JF - Newborn and Infant Nursing Reviews

SN - 1527-3369

IS - 4

ER -