Predictors of time to recovery in infants with probable serious bacterial infection

Prashant Singh1, Nitya Wadhwa1, Rakesh Lodha2

  • 1Translational Health Science and Technology Institute, Gurgaon, India; Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India.

Plos One
|April 25, 2015
PubMed

Insights

Formula feeding, being underweight, lethargic, irritable, and high CRP levels predict longer recovery times in infants with serious bacterial infections. These factors aid early identification and management in resource-limited settings.

Area of Science:

  • Pediatrics
  • Infectious Diseases
  • Global Health

Background:

  • Serious bacterial infections (PSBI) are a major cause of infant mortality in developing countries.
  • Time to recovery serves as a marker for infection severity.
  • Predicting recovery time is crucial for managing infant health outcomes.

Purpose of the Study:

  • To identify clinical and laboratory predictors of recovery time in infants with probable serious bacterial infection (PSBI).
  • To understand factors influencing the duration of illness in infants with PSBI.
  • To inform management strategies in resource-limited settings.

Main Methods:

  • A randomized controlled trial dataset of 700 infants (7-120 days) in India was analyzed.
  • PSBI was defined by clinical signs and elevated C-reactive protein (CRP >12mg/L).
  • Cox proportional hazard regression assessed predictors of time to recovery, defined by symptom resolution and weight gain.

Main Results:

  • Infants formula-fed before illness had 33% longer recovery times.
  • Being underweight, lethargic, or irritable independently predicted longer recovery.
  • Higher baseline CRP levels were significantly associated with prolonged recovery time.

Conclusions:

  • Clinical factors (formula feeding, underweight, lethargy, irritability) and elevated CRP predict protracted illness in infants with PSBI.
  • These predictors can guide early identification and referral in resource-limited settings.
  • Identifying infants at risk for longer recovery has significant economic and social implications for families.
Abstract

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