Classification of topographical pattern of spasticity in cerebral palsy: a registry perspective

Res Dev Disabil. 2011 Nov-Dec;32(6):2909-15. doi: 10.1016/j.ridd.2011.05.012. Epub 2011 May 31.

Abstract

This study used data from a population-based cerebral palsy (CP) registry and systematic review to assess the amount of heterogeneity between registries in topographical patterns when dichotomised into unilateral (USCP) and bilateral spastic CP (BSCP), and whether the terms diplegia and quadriplegia provide useful additional epidemiological information. From the Victorian CP Register, 2956 individuals (1658 males, 1298 females), born 1970-2003, with spastic CP were identified. The proportions with each topographical pattern were analysed overall and by gestational age. Binary logistic regression analysis was used to assess temporal trends. For the review, data were systematically collected on topographical patterns from 27 registries. Estimates of heterogeneity were obtained, overall and by region, reporting period and definition of quadriplegia. Among individuals born <32 weeks, 48% had diplegia, whereas the proportion for children born ≥ 32 weeks was 24% (p < 0.001). Evidence was weak for a temporal trend in the relative proportions of USCP and BSCP (p = 0.038), but much clearer for an increase in the proportion of spastic diplegia relative to quadriplegia (p < 0.001). The review revealed wide variations across studies in the proportion of diplegia (range 34-90%) and BSCP (range 51-86%). These findings argue against a topographical classification based solely on laterality.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review
  • Systematic Review

MeSH terms

  • Cerebral Palsy* / classification
  • Cerebral Palsy* / diagnosis
  • Cerebral Palsy* / epidemiology
  • Female
  • Functional Laterality
  • Gestational Age
  • Humans
  • Infant, Newborn
  • Male
  • Quadriplegia* / classification
  • Quadriplegia* / diagnosis
  • Quadriplegia* / epidemiology
  • Registries / standards*
  • Registries / statistics & numerical data*
  • Victoria / epidemiology