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Cerebral Palsy and Motor Impairment After Extreme Prematurity: Prediction of Diagnoses at Ages 2 and 10 Years.
Marinelli, Timothy; Yi, Joe X; O'Shea, T Michael; Joseph, Robert M; Hooper, Stephen R; Kuban, Karl C K; Sakai, Christina; Msall, Michael E; Fry, Rebecca; Singh, Rachana.
Affiliation
  • Marinelli T; Department of Pediatrics, Tufts University School of Medicine, Boston, MA.
  • Yi JX; Frank Porter Graham Child Development Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC.
  • O'Shea TM; Frank Porter Graham Child Development Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC.
  • Joseph RM; Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA.
  • Hooper SR; Frank Porter Graham Child Development Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC.
  • Kuban KCK; Department of Pediatrics and Neurology, Boston Medical Center, Boston, MA.
  • Sakai C; Department of Pediatrics, Massachusetts General Hospital for Children, Boston, MA.
  • Msall ME; Department of Pediatrics, Kennedy Research Center and Comer Children's Hospital, The University of Chicago Pritzker School of Medicine, Chicago, IL.
  • Fry R; Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina, Chapel Hill, NC.
  • Singh R; Department of Pediatrics, Tufts University School of Medicine, Boston, MA. Electronic address: rachana.singh1@tuftsmedicine.org.
J Pediatr ; 271: 114037, 2024 Aug.
Article in En | MEDLINE | ID: mdl-38580191
ABSTRACT

OBJECTIVE:

To identify perinatal factors in children born extremely preterm (EP) that were associated with motor impairment (MI) at 2 and 10 years of age and develop a predictive algorithm to estimate the risk of MI during childhood. STUDY

DESIGN:

Participants of the Extremely Low Gestational Age Newborns Study (ELGANS) were classified as no MI, MI only at 2 years, MI only at 10 years, and MI at both 2 and 10 years, based on a standardized neurological examination at 2 and the Gross Motor Function Classification System (GMFCS) at 10 years of age. Least Absolute Shrinkage and Selection Operator (LASSO) regression was used to develop the final predictive model.

RESULTS:

Of the 849 study participants, 64 (7.5%) had a diagnosis of MI at both 2 and 10 years and 63 (7.4%) had a diagnosis of MI at 1 visit but not the other. Of 22 total risk factors queried, 4 variables most reliably and accurately predicted MI gestational age, weight z-score growth trajectory during neonatal intensive care unit (NICU) stay, ventriculomegaly, and cerebral echolucency on head ultrasound. By selecting probability thresholds of 3.5% and 7.0% at ages 2 and 10, respectively, likelihood of developing MI can be predicted with a sensitivity and specificity of 71.2%/72.1% at age 2 and 70.7%/70.7% at age 10.

CONCLUSION:

In our cohort, the diagnosis of MI at 2 years did not always predict a diagnosis of MI at 10 years. Specific risk factors are predictive of MI and can estimate an individual infant's risk at NICU discharge of MI at age 10 years.
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cerebral Palsy / Infant, Extremely Premature Limits: Child / Child, preschool / Female / Humans / Male / Newborn Language: En Journal: J Pediatr Year: 2024 Document type: Article Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cerebral Palsy / Infant, Extremely Premature Limits: Child / Child, preschool / Female / Humans / Male / Newborn Language: En Journal: J Pediatr Year: 2024 Document type: Article Country of publication: United States