Document Detail


A model for predicting risk of serious bacterial infection in febrile infants younger than 3 months of age.
MedLine Citation:
PMID:  19837646     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
BACKGROUND: The objective of this study was to construct a model for predicting the risk of serious bacterial infection (SBI) in febrile infants. METHODS: A total of 135 febrile infants younger than 3 months of age who met the inclusion criteria were assessed on the following: physical appearance, complete blood count, serum C-reactive protein (CRP), urinalysis, stool smears for white blood cell (WBC) count if diarrhea was apparent, and blood and urine cultures. Chest X-rays were performed if respiratory symptoms were evident. Cerebrospinal fluid was analyzed if central nervous system infection was suspected. RESULTS: Of the 135 infants, 34 were diagnosed with SBI. Data from 99 infants were used to construct a model for predicting SBI by multivariate logistic regression. Sex (male), spun urine WBC count (>or= 10 per high-powered field [400x]) and CRP (>or= 3.6 mg/L) were significantly related to SBI. A probability cut-off of 0.265 was selected, where values below and above the cut-off reflected low and high SBI risk respectively. Data from the remaining 36 infants were used to test model validity. Both sensitivity and specificity were 77.8% for predicting SBI using this model. CONCLUSION: These findings suggest that sex, serum CRP concentration and spun urine WBC count can be used to accurately predict SBI in febrile infants aged less than 3 months of age.
Authors:
Chun-Jen Chen; Yu-Fang Lo; Miao-Chiu Huang; Ruey-Lung Chung; Ren-Bin Tang; Keh-Gong Wu
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of the Chinese Medical Association : JCMA     Volume:  72     ISSN:  1728-7731     ISO Abbreviation:  J Chin Med Assoc     Publication Date:  2009 Oct 
Date Detail:
Created Date:  2009-10-19     Completed Date:  2010-01-12     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101174817     Medline TA:  J Chin Med Assoc     Country:  China (Republic : 1949- )    
Other Details:
Languages:  eng     Pagination:  521-6     Citation Subset:  IM    
Affiliation:
Department of Pediatrics, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
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MeSH Terms
Descriptor/Qualifier:
Bacterial Infections / etiology*
C-Reactive Protein / analysis
Female
Fever / blood,  complications*
Humans
Infant
Infant, Newborn
Leukocyte Count
Male
Retrospective Studies
Chemical
Reg. No./Substance:
9007-41-4/C-Reactive Protein

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