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Longitudinal study for the early detection of autism in children with very preterm birth.
Marín Soro, Marta; Gisbert Gustemps, Laura; Boix Alonso, Héctor; Martínez-Maldonado, Sergi; Coronado Contreras, Ricard.
Afiliación
  • Marín Soro M; Institute of Neuroscience, Autonomous University of Barcelona, Spain. Electronic address: marta.marins@autonoma.cat.
  • Gisbert Gustemps L; Vall d'Hebron Hospital in Barcelona and professor at the Autonomous University of Barcelona, Spain.
  • Boix Alonso H; Quirón Hospital in Barcelona, Spain.
  • Martínez-Maldonado S; Open University of Catalonia, Spain.
  • Coronado Contreras R; General Hospital of Granollers / University Hospital of Mollet and professor at the Autonomous University of Barcelona, Spain.
Brain Dev ; 2024 Sep 05.
Article en En | MEDLINE | ID: mdl-39242348
ABSTRACT

INTRODUCTION:

Very preterm birth is an important risk factor for autism spectrum disorder (ASD). The aim of this study is the early detection of ASD risk, using a follow-up protocol, in children weighing less than 1500 g at birth or born before 32 weeks of gestation.

METHODS:

This is a prospective longitudinal study in which a total of 133 very premature babies were monitored to the age of 2 years with the M-CHAT autism screening test and, in the event of a positive result, the Autism Diagnostic Observation Schedule (ADOS-2).

RESULTS:

53 cases (4 out of 10) screened positive, and the rest negative. Among the positives, the ADOS-2 was administered in 50 cases, of which 24 scored above the ASD cutoff point. The average age of detection was 25.39 months. The results suggest an estimated prevalence of ASD in the very premature population of 18.46 %.

CONCLUSIONS:

The application of the follow-up protocol in the very premature population is effective for early detection of ASD.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Brain Dev Año: 2024 Tipo del documento: Article Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Brain Dev Año: 2024 Tipo del documento: Article Pais de publicación: Países Bajos