Journal of the Chinese Medical Association
Volume 72, Issue 10 , Pages 521-526, October 2009

A Model for Predicting Risk of Serious Bacterial Infection in Febrile Infants Younger Than 3 Months of Age

  • Chun-Jen Chen

      Affiliations

    • Department of Pediatrics, Taipei Veterans General Hospital, Taipei, Taiwan, R.O.C.
    • Institute of Clinical Medicine, National Yang-Ming University School of Medicine, Taipei, Taiwan, R.O.C.
    • Chun-Jen Chen and Yu-Fang Lo contributed equally to this work.
  • ,
  • Yu-Fang Lo

      Affiliations

    • Department of Pediatrics, Cheng Hsin Rehabilitation Medical Center, Taipei, Taiwan, R.O.C.
    • Chun-Jen Chen and Yu-Fang Lo contributed equally to this work.
  • ,
  • Miao-Chiu Huang

      Affiliations

    • Department of Pediatrics, Taipei Veterans General Hospital, Taipei, Taiwan, R.O.C.
  • ,
  • Ruey-Lung Chung

      Affiliations

    • Department of Pediatrics, Taipei Veterans General Hospital, Taipei, Taiwan, R.O.C.
  • ,
  • Ren-Bin Tang

      Affiliations

    • Department of Pediatrics, Taipei Veterans General Hospital, Taipei, Taiwan, R.O.C.
  • ,
  • Keh-Gong Wu

      Affiliations

    • Department of Pediatrics, Taipei Veterans General Hospital, Taipei, Taiwan, R.O.C.
    • Corresponding Author InformationCorrespondence to: Dr Keh-Gong Wu, Department of Pediatrics, Taipei Veterans General Hospital, 201, Section 2, Shih-Pai Road, Taipei 112, Taiwan, R.O.C.

Received 20 May 2009; accepted 23 September 2009.

Article Outline

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 (≥ 10 per high-powered field [400 ×]) and CRP (≥ 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. [J Chin Med Assoc 2009;72(10):521–526]

Key Words:  C-reactive protein , febrile infants , neonatal sepsis , risk factors , serious bacterial infection

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PII: S1726-4901(09)70421-6

doi:10.1016/S1726-4901(09)70421-6

Journal of the Chinese Medical Association
Volume 72, Issue 10 , Pages 521-526, October 2009