Document Detail


Clinical signs predicting severe illness in young infants (<60 days) in Bolivia.
MedLine Citation:
PMID:  20144933     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Identification of simple signs and symptoms that predict severe illness needing referral for admission of young infants is critical for reducing mortality in developing countries. Infants <2 months of age presenting to two hospitals in La Paz, Bolivia (n=1082) were evaluated by nurses for signs and symptoms, and independently by physicians for the need for admission. In young neonates, sensitivity of individual clinical signs was >35% for measured temperature ≥ 37.5° C (65%); all signs had specificity >85%. Odds ratios (ORs) for association of individual clinical signs with need for urgent hospital management were highest (>5) for history of difficulty feeding, not feeding well and fever. Clinical signs or symptoms are useful for primary healthcare workers to identify young infants with serious illness needing admission, and have been incorporated into the Integrated Management of Childhood Illness algorithm for use in Bolivia and elsewhere in Latin America.
Authors:
Eduardo Mazzi; Andres E Bartos; John Carlin; Martin W Weber; Gary L Darmstadt;
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-02-08
Journal Detail:
Title:  Journal of tropical pediatrics     Volume:  56     ISSN:  1465-3664     ISO Abbreviation:  J. Trop. Pediatr.     Publication Date:  2010 Oct 
Date Detail:
Created Date:  2010-10-05     Completed Date:  2010-10-27     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8010948     Medline TA:  J Trop Pediatr     Country:  England    
Other Details:
Languages:  eng     Pagination:  307-16     Citation Subset:  IM    
Affiliation:
Department of Pediatrics, Hospital del Niño (HN) Dr Ovidio Aliaga Uria, La Paz, Bolivia.
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Bolivia / epidemiology
Child, Preschool
Female
Follow-Up Studies
Health Status Indicators*
Hospitalization / statistics & numerical data*
Humans
Infant
Infant, Newborn
Infant, Newborn, Diseases / diagnosis*,  epidemiology
Logistic Models
Male
Odds Ratio
Predictive Value of Tests
Referral and Consultation / statistics & numerical data
Sensitivity and Specificity
Severity of Illness Index
Triage / statistics & numerical data*
Investigator
Investigator/Affiliation:
Eduardo Mazzi Gonzales de Prada / ; Andres Bartos Miklos / ; Teresa Villagomez / ; Pablo Mattos / ; Manuel Pantoja Ludueña / ; Remedios Zumarán / ; Irma Quispe / ; Willy Tarqui / ; Lourdes Checa / ; Claudia Canqui / ; Erick Dueñas / ; Omar Vargas /

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


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