Literature DB >> 15996394

Profile of pediatric hemiparesis.

Maryam Oskoui1, Michael I Shevell.   

Abstract

Our objective was to determine the clinical spectrum of pediatric hemiparesis by identifying the relative frequency of various diagnoses and comorbid conditions seen in these children. Case records of all patients with hemiparesis in a single practice over an 11-year period were reviewed with reference to clinical features, etiologic determination, and comorbid conditions. Ninety-two children were identified: 73 (79.3%) had a congenital hemiparesis and 19 (20.7%) had an acquired hemiparesis. An abnormal perinatal history (P = .003), prematurity (P = .016), and younger age at onset of symptoms (P < .001) were associated with a congenital hemiparesis. The overall etiologic yield was 83.7% (82.2% in the congenital and 89.5% in the acquired). The top four etiologic entities were cerebrovascular ischemia (40.2%), periventricular leukomalacia (18.5%), intracranial hemorrhage (16.3%), and cerebral dysgenesis (13%). Factors predictive of establishing an underlying etiology included birth prior to 34 weeks' gestation (P = .034), global developmental delay (P = .048), epilepsy (P = .024), and having appropriate imaging modalities (P = .001). Half of these children had a concurrent global developmental delay, associated epilepsy (odds ratio 3.67; 95% confidence interval 1.40-9.72), and prematurity (odds ratio 5.41; 95% confidence interval 1.56-18.80). A third of these children developed epilepsy. Multivariate predictive factors for epilepsy included global developmental delay (odds ratio 4.20; 95% confidence interval 1.44-12.27), cerebrovascular ischemia (odds ratio 5.10; 95% confidence interval 1.76-14.77), and term birth (odds ratio 3.87; 95% confidence interval 1.20-12.56). The majority of children with hemiparesis have a congenital etiology. The diagnostic yield is higher than previously reported; however, specific underlying etiologies need to be better determined. Comorbid conditions of global developmental delay and epilepsy have a high prevalence in this population, contributing to overall morbidity.

Entities:  

Mesh:

Year:  2005        PMID: 15996394     DOI: 10.1177/088307380502000601

Source DB:  PubMed          Journal:  J Child Neurol        ISSN: 0883-0738            Impact factor:   1.987


  5 in total

1.  An algorithm for identifying and classifying cerebral palsy in young children.

Authors:  Karl C K Kuban; Elizabeth N Allred; Michael O'Shea; Nigel Paneth; Marcello Pagano; Alan Leviton
Journal:  J Pediatr       Date:  2008-06-02       Impact factor: 4.406

2.  Perinatal stroke and the risk of developing childhood epilepsy.

Authors:  Meredith R Golomb; Bhuwan P Garg; Karen S Carvalho; Cynthia S Johnson; Linda S Williams
Journal:  J Pediatr       Date:  2007-08-23       Impact factor: 4.406

3.  Intraoperative brain mapping to identify corticospinal projections during resective epilepsy surgery in children with congenital hemiparesis.

Authors:  Tsui-Fen Yang; Hsin-Hung Chen; Muh-Lii Liang; Chien Chen; Jan-Wei Chiu; Jia-Chi Wang; Chih-Jou Lai; Kwong-Kum Liao; Rai-Chi Chan
Journal:  Childs Nerv Syst       Date:  2014-05-14       Impact factor: 1.475

4.  Acute Hemiplegia in Children: A Prospective Study of Etiology, Clinical Presentation, and Outcome from Western India.

Authors:  Vasant Chinnabhandar; Amitabh Singh; Anirban Mandal; B J Parmar
Journal:  J Neurosci Rural Pract       Date:  2018 Oct-Dec

5.  The 'magic' of magic camp from the perspective of children with hemiparesis.

Authors:  Kevin Spencer; Hon K Yuen; Gavin R Jenkins; Kimberly Kirklin; Laura K Vogtle; Drew Davis
Journal:  J Exerc Rehabil       Date:  2021-02-23
  5 in total

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