An algorithm for identifying and classifying cerebral palsy in young children

Karl C K Kuban, Elizabeth N Allred, Michael O’Shea, Nigel Paneth, Marcello Pagano, Alan Leviton, ELGAN Study Cerebral Palsy-Algorithm Group

J Pediatr 2008;153:466-472

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Of 1056 children examined, 11.4% had an algorithm-based CP. Of these, 31% had DP, 17% had HP, and 52% had QP. Children with QP were 9 X more likely than DP (76% versus 8%) to be more highly impaired and 5 X more likely to be microcephalic (43% versus 8%). They were > than 2 X as likely as children with DP to have MDI <70 and were MCHAT+ 76% compared with DP (30%) and w/oCP (18%).