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Risk factors for cerebral palsy and movement difficulties in 5-year-old children born extremely preterm
Adrien M Aubert1, Raquel Costa2,3, Samantha Johnson4
1Université Paris Cité, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Obstetrical Perinatal and Pediatric Epidemiology Research Team, EPOPé, F-75004, Paris, France. adrien.aubert@inserm.fr.
Insights
Extremely preterm birth increases risks for cerebral palsy (CP) and movement difficulties (MD). While some factors like young maternal age affect both, CP is linked to clinical issues, and non-CP MD to sociodemographic factors.
Area of Science:
- Neonatalogy
- Developmental Pediatrics
- Public Health
Background:
- Motor impairment is prevalent in extremely preterm (EPT) infants (<28 weeks' gestational age).
- Cerebral palsy (CP) affects ~10%, and non-CP movement difficulties (MD) affect up to 50% of EPT survivors.
- Identifying risk factors for CP and non-CP MD is crucial for early intervention.
Purpose of the Study:
- To investigate sociodemographic, perinatal, and neonatal risk factors for CP and non-CP MD in EPT children.
- To differentiate risk profiles between CP and non-CP MD.
Main Methods:
- Analysis of a European population-based cohort of EPT children born in 2011-2012.
- Multinomial logistic regression used to assess risk factors for CP and non-CP MD versus no MD in 5-year-olds.
- Movement Assessment Battery for Children - 2nd edition used for MD classification.
Main Results:
- Young maternal age, male sex, and bronchopulmonary dysplasia were associated with both CP and non-CP MD.
- CP was strongly linked to severe brain lesions, neonatal morbidities, congenital anomalies, and low Apgar scores.
- Non-CP MD showed associations with primiparity, maternal education, small for gestational age, and severe brain lesions (lower magnitude).
Conclusions:
- CP and non-CP MD exhibit distinct risk factor profiles.
- Non-CP MD is more associated with sociodemographic factors, while CP is more linked to clinical factors.
- Understanding these differences aids etiological research and identifies children for targeted follow-up and intervention.
Background:
Motor impairment is common after extremely preterm (EPT, <28 weeks' gestational age (GA)) birth, with cerebral palsy (CP) affecting about 10% of children and non-CP movement difficulties (MD) up to 50%. This study investigated the sociodemographic, perinatal and neonatal risk factors for CP and non-CP MD.
Methods:
Data come from a European population-based cohort of children born EPT in 2011-2012 in 11 countries. We used multinomial logistic regression to assess risk factors for CP and non-CP MD (Movement Assessment Battery for Children - 2nd edition ≤5th percentile) compared to no MD (>15th percentile) among 5-year-old children.
Results:
Compared to children without MD (n = 366), young maternal age, male sex and bronchopulmonary dysplasia were similarly associated with CP (n = 100) and non-CP MD (n = 224) with relative risk ratios (RRR) ranging from 2.3 to 3.6. CP was strongly related to severe brain lesions (RRR >10), other neonatal morbidities, congenital anomalies and low Apgar score (RRR: 2.4-3.3), while non-CP MD was associated with primiparity, maternal education, small for GA (RRR: 1.6-2.6) and severe brain lesions, but at a much lower order of magnitude.
Conclusion:
CP and non-CP MD have different risk factor profiles, with fewer clinical but more sociodemographic risk factors for non-CP MD.
Impact:
Young maternal age, male sex and bronchopulmonary dysplasia similarly increased risks of both cerebral palsy and non-cerebral palsy movement difficulties. Cerebral palsy was strongly related to clinical risk factors including severe brain lesions and other neonatal morbidities, while non-cerebral palsy movement difficulties were more associated with sociodemographic risk factors. These results on the similarities and differences in risk profiles of children with cerebral palsy and non-cerebral palsy movement difficulties raise questions for etiological research and provide a basis for improving the identification of children who may benefit from follow-up and early intervention.
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