"Neuromotor outcomes at school age after extremely low birth weight: Early detection of subtle signs": Correction to Gidley Larson et al. (2011)Artículo de Revista
Reports an error in "Neuromotor outcomes at school age after extremely low birth weight: Early detection of subtle signs" by Jennifer C. Gidley Larson, Ida Sue Baron, Kristine Erickson, Margot D. Ahronovich, Robin Baker and Fern R. Litman ( Neuropsychology, 2011[Jan], Vol 25[1], 66-75). There is an error in Table 1. Birth weight and Maternal age for the <26 wks ELBW group were reported incorrectly. (The following abstract of the original article appeared in record 2010-20417-001.) Objective: Motor impairments are prevalent in children born at extremely low birth weight (ELBW; <1,000 g). Rarely studied are subtle motor deficits that indicate dysfunction or delay in neural systems critical for optimal cognitive, academic, and behavioral function. We aimed to examine quantifiable signs of subtle neuromotor dysfunction in an early school-aged ELBW cohort that coincidentally had age-appropriate cognition and design copying. Method: We studied 97 participants born between 1998 and 2001; 74 ELBW (6.7 years ± 0.75) compared with 23 term-born (6.6 years ± 0.29). Neuromotor outcomes were assessed using the Physical and Neurological Examination of Subtle Signs-Revised, and measures of dexterity/coordination and visual-motor integration. Results: ELBW participants performed worse than term-born on design-copying and dexterity, were age-appropriate compared to normative data, and had slower timed movements and more subtle overflow movements. Those ELBW born <26 weeks performed most poorly compared with those born 26¿34 weeks and term-born. Conclusion: Subtle motor dysfunctions are detectable and quantifiable in ELBW children by school age, even in the presence of average cognition. Early age assessment of incoordination, motor speed, and overflow movements should aid initiation of timely therapies to prepare at-risk ELBW children for subsequent school entry and facilitate design of optimal early treatment strategies
