Predictors of death in infants with probable serious bacterial infection

Prashant Singh1, Ananya Arora2, Tor A Strand3

  • 1Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.

Pediatric Research
|November 23, 2017
PubMed

Insights

Infant deaths from serious bacterial infections are predicted by formula or cow

Area of Science:

  • Neonatal and Infant Health
  • Infectious Diseases
  • Pediatric Critical Care

Background:

  • Bacterial infections are a major cause of infant mortality worldwide.
  • Serious bacterial infections pose a significant threat to neonates and infants.
  • Identifying early predictors of mortality is crucial for timely intervention.

Purpose of the Study:

  • To identify predictors of death in infants diagnosed with probable serious bacterial infection (PSBI).
  • To analyze risk factors associated with mortality within 21 days of PSBI diagnosis.
  • To inform clinical management strategies for high-risk infants with PSBI.

Main Methods:

  • Secondary analysis of data from 700 infants with PSBI in a randomized controlled trial in India.
  • Logistic regression modeling to assess associations between variables and 21-day mortality.
  • Inclusion of clinical features and C-reactive protein (CRP) levels in the analysis.

Main Results:

  • Feeding infants cow's milk or formula before illness increased odds of death (OR 3.7-5.3).
  • Lethargy (OR 2.4) and elevated CRP levels (OR 1.9) were independent predictors of death.
  • Clinical signs like abdominal distention and bulging fontanelle also predicted mortality.

Conclusions:

  • Formula or cow milk feeding prior to illness is a significant risk factor for infant mortality in PSBI.
  • Lethargy and high C-reactive protein levels are critical indicators of poor prognosis in infants with PSBI.
  • Early identification of these predictors can guide prompt medical attention and improve outcomes for infants with serious bacterial infections.