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Published on: August 12, 2020
Test Characteristics of C-Reactive Protein-Based Risk Stratification in Young, Well-Appearing, Febrile Infants
Lyubina C Yankova1, Corrie E McDaniel2, Ellen Kerns3
1Section of Pediatric Hospital Medicine, Department of Pediatrics, Yale School of Medicine, New Haven, CT.
Insights
C-reactive protein and procalcitonin effectively identify invasive bacterial infections in febrile infants. This combination shows high sensitivity for detecting serious infections in newborns and young infants.
Area of Science:
- Pediatrics
- Infectious Diseases
- Clinical Diagnostics
Background:
- Febrile infants require accurate diagnostic tools to differentiate serious bacterial infections from benign conditions.
- Inflammatory markers are crucial in assessing infection risk in neonates and young infants.
Purpose of the Study:
- To evaluate the diagnostic accuracy of C-reactive protein (CRP) and other inflammatory markers (IMs) for invasive bacterial infection (IBI).
- To assess the combined performance of CRP with other IMs in well-appearing, febrile infants aged 8-60 days.
Main Methods:
- Retrospective cohort study design.
- Analysis of test characteristics for CRP alone and in combination with other IMs.
- Focus on well-appearing, febrile infants aged 8-60 days.
Main Results:
- The combination of procalcitonin and CRP showed a sensitivity of 91.4% (95% CI: 84.7-95.8).
- The combined procalcitonin and CRP also demonstrated a specificity of 76.5% (95% CI: 75.3-77.6).
Conclusions:
- Combined procalcitonin and CRP offer valuable diagnostic information for IBI in febrile infants.
- This biomarker combination aids in the clinical decision-making process for managing infection in young infants.
Abstract:
In a retrospective cohort study, we evaluated the test characteristics of C-reactive protein, alone and in combination with other inflammatory markers, for invasive bacterial infection in well-appearing, febrile infants aged 8-60 days. The combination of procalcitonin and C-reactive protein demonstrated a sensitivity of 91.4% (95% confidence interval: 84.7-95.8) and specificity of 76.5% (95% confidence interval: 75.3-77.6).
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