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Tweed, Emily J.; Mackay, Daniel F.; Nelson, Scott M.; Cooper, Sally-Ann; Pell, Jill P. (2016)
Publisher: BMJ Publishing Group
Languages: English
Types: Article
Subjects:
Background: The Apgar score is used worldwide for assessing the clinical condition and short-term prognosis of newborn infants. Evidence for a relationship with long-term educational outcomes is conflicting. We investigated whether Apgar score at 5 min after birth was associated with additional support needs (ASN) and educational attainment.\ud \ud Methods: Data on pregnancy, delivery and later educational outcomes for children attending Scottish schools between 2006 and 2011 were collated by linking individual-level data from national educational and maternity databases. The relationship between Apgar score and overall ASN, type-specific ASN and educational attainment was assessed using binary, multinomial and generalised ordinal logistic regression models, respectively. Missing covariate data were imputed.\ud \ud Results: Of the 751 369 children eligible, 9741 (1.3%) had a low or intermediate Apgar score and 49 962 (6.6%) had ASN. Low Apgar score was independently associated with overall ASN status (adjusted OR for Apgar ≤3, OR 1.52 95% CI 1.35 to 1.70), as well as ASN due to cognitive (OR 1.26, 95% CI 1.09 to 1.47), sensory (OR 2.49 95% CI 1.66 to 3.73) and motor (OR 3.57, 95% CI 2.86 to 4.47) impairments. There was a dose-response relationship between Apgar score and overall ASN status: of those scoring 0–3, 10.1% had ASN, compared with 9.1% of those scoring 4–7 and 6.6% of those scoring 7–10. A low Apgar score was associated with lower educational attainment, but this was not robust to adjustment for confounders.\ud \ud Conclusions: Apgar scores are associated with long-term as well as short-term prognoses, and with educational as well as clinical outcomes at the population level.
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    • 27. Stuart A, Otterblad Olausson P, Källen K. Apgar scores at 5 minutes after birth in relation to school performance at 16 years of age. Obstetrics and Gynecology 2011;118(2 Pt 1):201-8 doi: 10.1097/AOG.0b013e31822200eb[published Online First: Epub Date]|.
    • 28. Chu K, Elimian A, Barbera J, Ogburn P, Spitzer A, Quirk JG. Antecedents of newborn hearing loss. Obstetrics and Gynecology 2003;101(3):584-8
    • 29. Biswas AK, Goswami SC, Baruah DK, Tripathy R. The potential risk factors and the identification of hearing loss in infants. Indian Journal of Otolaryngology and Head and Neck Surgery 2012;64(3):214-7 doi: 10.1007/s12070-011-0307-6[published Online First: Epub Date]|.
    • 30. Jiang ZD, Zang Z, Wilkinson AR. Cochlear function in 1-year-old term infants born with hypoxia-ischaemia or low Apgar scores. Journal of Paediatrics and Child Health 2012;48(2):160-5 doi: 10.1111/j.1440-1754.2011.02066.x[published Online First: Epub Date]|.
    • 31. Lieu JEC, Ratnaraj F, Ead B. Evaluating a prediction model for infant hearing loss. The Laryngoscope 2013;123(11):2873-9 doi: 10.1002/lary.24033[published Online First: Epub Date]|.
    • 32. Mercuri E, Atkinson J, Braddick O, et al. Visual function in full-term infants with hypoxic-ischaemic encephalopathy. Neuropediatrics 1997;28(3):155-61 doi: 10.1055/s2007-973693[published Online First: Epub Date]|.
    • 33. Delgado CEF, Vagi SJ, Scott KG. Identification of Early Risk Factors for Developmental Delay. Exceptionality 2007;15(2):119-36 doi: 10.1080/09362830701294185[published Online First: Epub Date]|.
    • 34. Stanton-Chapman TL, Chapman DA, Bainbridge NL, Scott KG. Identification of early risk factors for language impairment. Research in Developmental Disabilities 2002;23(6):390-405
    • 35. Guinchat V, Thorsen P, Laurent C, Cans C, Bodeau N, Cohen D. Pre-, peri- and neonatal risk factors for autism. Acta Obstetricia et Gynecologica Scandinavica 2012;91(3):287-300 doi: 10.1111/j.1600-0412.2011.01325.x[published Online First: Epub Date]|.
    • 36. O'Donnell CP, Kamlin CO, Davis PG, Carlin JB, Morley CJ. Interobserver variability of the 5-minute Apgar score. J Pediatr 2006;149(4):486-9 doi: 10.1016/j.jpeds.2006.05.040[published Online First: Epub Date]|.
    • 37. Bashambu MT, Whitehead H, Hibbs AM, Martin RJ, Bhola M. Evaluation of 1 (most deprived) 2
    • 5 (least deprived) Missing
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