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Latent class growth analysis identified different trajectories in cognitive development of extremely low birthweight children
BACKGROUND: Recent longitudinal studies suggest stable cognitive development in preterm children, although with great individual variation. This prospective neurocognitive follow-up study of extremely low birthweight (ELBW, <1000 g) children aimed to characterise groups with different development...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8984002/ https://www.ncbi.nlm.nih.gov/pubmed/36053586 http://dx.doi.org/10.1136/bmjpo-2021-001361 |
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author | Haavisto, Anu Klenberg, Liisa Tommiska, Viena Lano, Aulikki Mikkola, Kaija Fellman, Vineta |
author_facet | Haavisto, Anu Klenberg, Liisa Tommiska, Viena Lano, Aulikki Mikkola, Kaija Fellman, Vineta |
author_sort | Haavisto, Anu |
collection | PubMed |
description | BACKGROUND: Recent longitudinal studies suggest stable cognitive development in preterm children, although with great individual variation. This prospective neurocognitive follow-up study of extremely low birthweight (ELBW, <1000 g) children aimed to characterise groups with different developmental trajectories from preschool to preteen age. METHODS: ELBW children (n=115) born in Finland in 1996–1997 participated in cognitive assessments at a median age of 5.0 years and 11.3 years. A standardised test of intelligence (Wechsler Preschool and Primary Scale of Intelligence–Revised or Wechsler Intelligence Scale for Children–third edition) was administered at both ages. RESULTS: Three ELBW groups with different developmental trajectories over time were identified with latent class growth analysis. Children with average (Full-Scale IQ (FSIQ): 85–115) and below average (FSIQ: <85) intelligence at 5 years of age had significant decreases in intelligence scores by 11 years of age (–11.7 points and –14.9 points, respectively, both p<0.001), while those with above average intelligence (FSIQ: >115) showed stable development (–3.2 points, p=0.250). Multiple linear regression showed that neonatal complications (intraventricular haemorrhage grade 3–4 and blood culture positive sepsis) and maternal education significantly predicted lower intelligence at the second assessment (F(3,106)=7.27, p<0.001, adjusted R(2)=0.147). CONCLUSIONS: ELBW children represent a heterogeneous patient population in which groups with different cognitive trajectories can be detected. Deterioration may occur particularly in children with initial average or below average cognitive performance at 5 years of age, with neonatal complications and lower maternal education presenting as risk factors. Catch-up in cognitive functions seems more uncommon in the ELBW population, which should be noted in clinical work. |
format | Online Article Text |
id | pubmed-8984002 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-89840022022-04-22 Latent class growth analysis identified different trajectories in cognitive development of extremely low birthweight children Haavisto, Anu Klenberg, Liisa Tommiska, Viena Lano, Aulikki Mikkola, Kaija Fellman, Vineta BMJ Paediatr Open Child Psychology BACKGROUND: Recent longitudinal studies suggest stable cognitive development in preterm children, although with great individual variation. This prospective neurocognitive follow-up study of extremely low birthweight (ELBW, <1000 g) children aimed to characterise groups with different developmental trajectories from preschool to preteen age. METHODS: ELBW children (n=115) born in Finland in 1996–1997 participated in cognitive assessments at a median age of 5.0 years and 11.3 years. A standardised test of intelligence (Wechsler Preschool and Primary Scale of Intelligence–Revised or Wechsler Intelligence Scale for Children–third edition) was administered at both ages. RESULTS: Three ELBW groups with different developmental trajectories over time were identified with latent class growth analysis. Children with average (Full-Scale IQ (FSIQ): 85–115) and below average (FSIQ: <85) intelligence at 5 years of age had significant decreases in intelligence scores by 11 years of age (–11.7 points and –14.9 points, respectively, both p<0.001), while those with above average intelligence (FSIQ: >115) showed stable development (–3.2 points, p=0.250). Multiple linear regression showed that neonatal complications (intraventricular haemorrhage grade 3–4 and blood culture positive sepsis) and maternal education significantly predicted lower intelligence at the second assessment (F(3,106)=7.27, p<0.001, adjusted R(2)=0.147). CONCLUSIONS: ELBW children represent a heterogeneous patient population in which groups with different cognitive trajectories can be detected. Deterioration may occur particularly in children with initial average or below average cognitive performance at 5 years of age, with neonatal complications and lower maternal education presenting as risk factors. Catch-up in cognitive functions seems more uncommon in the ELBW population, which should be noted in clinical work. BMJ Publishing Group 2022-04-05 /pmc/articles/PMC8984002/ /pubmed/36053586 http://dx.doi.org/10.1136/bmjpo-2021-001361 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Child Psychology Haavisto, Anu Klenberg, Liisa Tommiska, Viena Lano, Aulikki Mikkola, Kaija Fellman, Vineta Latent class growth analysis identified different trajectories in cognitive development of extremely low birthweight children |
title | Latent class growth analysis identified different trajectories in cognitive development of extremely low birthweight children |
title_full | Latent class growth analysis identified different trajectories in cognitive development of extremely low birthweight children |
title_fullStr | Latent class growth analysis identified different trajectories in cognitive development of extremely low birthweight children |
title_full_unstemmed | Latent class growth analysis identified different trajectories in cognitive development of extremely low birthweight children |
title_short | Latent class growth analysis identified different trajectories in cognitive development of extremely low birthweight children |
title_sort | latent class growth analysis identified different trajectories in cognitive development of extremely low birthweight children |
topic | Child Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8984002/ https://www.ncbi.nlm.nih.gov/pubmed/36053586 http://dx.doi.org/10.1136/bmjpo-2021-001361 |
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