Introduction <p>Diagnosing severe bacterial infections (SBI) can be challenging, especially in infants. This study sought to identify clinical factors that could aid in predicting SBI in infants aged 91–120 days.</p> Methods <p>This retrospective cohort study investigated febrile infants aged 91-120 days admitted to the pediatric emergency department (PED). This study assessed the significant predictors of clinical and laboratory data for identifying SBI in young infants.</p> Results <p>This study analyzed 264 febrile infants aged 91–120 days admitted to the PED. The significant factors for infants with SBI included sex, admission weight, body temperature(BT), white blood cell (WBC) count, neutrophil percentage, and C-reactive protein (CRP) level (all <i>P</i> &lt; 0.05). Logistic regression analysis showed that male sex, higher BT, WBC count, and CRP levels were predictors of SBI. ROC analysis identified the useful cutoff values for predicting SBI as a BT of 39.3&#xa0;°C, WBC counts of 15,500/µL, and a CRP concentration of 14.4&#xa0;mg/L.</p> Conclusions <p>Increased BT, elevated WBC and neutrophil counts, as well as higher CRP levels, may act as predictors of SBI in infants aged 91–120 days admitted to the PED.</p>

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Factors associated with severe bacterial infection in infants between 91- and 120-days old admitted to the pediatric emergency department

  • Bei-Cyuan Guo,
  • Han-Ping Wu,
  • Yin-Ting Chen,
  • Yu-Jun Chang,
  • Chun-Yu Chen,
  • Wen-Ya Lin,
  • Chung-Hao Su

摘要

Introduction

Diagnosing severe bacterial infections (SBI) can be challenging, especially in infants. This study sought to identify clinical factors that could aid in predicting SBI in infants aged 91–120 days.

Methods

This retrospective cohort study investigated febrile infants aged 91-120 days admitted to the pediatric emergency department (PED). This study assessed the significant predictors of clinical and laboratory data for identifying SBI in young infants.

Results

This study analyzed 264 febrile infants aged 91–120 days admitted to the PED. The significant factors for infants with SBI included sex, admission weight, body temperature(BT), white blood cell (WBC) count, neutrophil percentage, and C-reactive protein (CRP) level (all P < 0.05). Logistic regression analysis showed that male sex, higher BT, WBC count, and CRP levels were predictors of SBI. ROC analysis identified the useful cutoff values for predicting SBI as a BT of 39.3 °C, WBC counts of 15,500/µL, and a CRP concentration of 14.4 mg/L.

Conclusions

Increased BT, elevated WBC and neutrophil counts, as well as higher CRP levels, may act as predictors of SBI in infants aged 91–120 days admitted to the PED.