Journal article
The complex aetiology of cerebral palsy
Nature reviews. Neurology, v 14(9), pp 528-543
01 Sep 2018
PMID: 30104744
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Cerebral palsy (CP) is the most prevalent, severe and costly motor disability of childhood. Consequently, CP is a public health priority for prevention, but its aetiology has proved complex. In this Review, we summarize the evidence for a decline in the birth prevalence of CP in some high-income nations, describe the epidemiological evidence for risk factors, such as preterm delivery and fetal growth restriction, genetics, pregnancy infection and other exposures, and discuss the success achieved so far in prevention through the use of magnesium sulfate in preterm labour and therapeutic hypothermia for birth-asphyxiated infants. We also consider the complexities of disentangling prenatal and perinatal influences, and of establishing subtypes of the disorder, with a view to accelerating the translation of evidence into the development of strategies for the prevention of CP.
Metrics
5 Record Views
Details
- Title
- The complex aetiology of cerebral palsy
- Creators
- Steven J Korzeniewski (Corresponding Author) - Wayne State UniversityJaime Slaughter - Drexel UniversityMadeleine Lenski - Michigan State UniversityPeterson Haak - Michigan Department of Health and Human ServicesNigel Paneth - Michigan State University
- Publication Details
- Nature reviews. Neurology, v 14(9), pp 528-543
- Publisher
- Nature Publishing
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Epidemiology and Biostatistics
- Web of Science ID
- WOS:000443071600008
- Scopus ID
- 2-s2.0-85052499973
- Other Identifier
- 991022206279904721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
Source: SDGs in the Output
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Clinical Neurology