Document Detail


The usefulness of clinical features to identify active rickets.
MedLine Citation:
PMID:  12369487     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
To develop a clinical prediction rule that could accurately identify children with active rickets in countries where nutritional rickets is common, we prospectively recorded clinical features in 736 Nigerian children aged 18 months and older presenting with leg deformities or inability to walk. We scored radiographs of the wrists and knees for active rickets of the growth plates. Sensitivities and specificities of clinical variables for radiographically active rickets were calculated and, using logistic regression, we derived a clinical prediction rule. The prediction rule was tested in a validation set of 89 children. Wrists and costochondral enlargement were the clinical signs with the best combination of sensitivity (72% and 76%, respectively) and specificity (81% and 64%, respectively) for active rickets. Age < 5 years, height-for-age Z-score < -2, leg pain during walking, wrist enlargement and costochondral enlargement were independently predictive of active rickets (p < 0.01 for each in multivariate model). In the validation set, any three of these clinical features accurately identified 87% of children with active rickets, whereas only 24% of those without active rickets had three or more features. We conclude that clinical features can be used to identify children with active rickets.
Authors:
Tom D Thacher; Philip R Fischer; John M Pettifor
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Validation Studies    
Journal Detail:
Title:  Annals of tropical paediatrics     Volume:  22     ISSN:  0272-4936     ISO Abbreviation:  Ann Trop Paediatr     Publication Date:  2002 Sep 
Date Detail:
Created Date:  2002-10-08     Completed Date:  2002-11-22     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  8210625     Medline TA:  Ann Trop Paediatr     Country:  England    
Other Details:
Languages:  eng     Pagination:  229-37     Citation Subset:  IM    
Affiliation:
Department of Family Medicine, Jos University Teaching Hospital, Nigeria.
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MeSH Terms
Descriptor/Qualifier:
Age Factors
Anthropometry
Child, Preschool
Female
Humans
Infant
Knee Joint / radiography
Logistic Models
Male
Pain / etiology
Predictive Value of Tests
Prospective Studies
Rickets / diagnosis*,  physiopathology,  radiography
Sensitivity and Specificity
Walking
Wrist Joint / radiography

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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